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U.K. Value Growth Trans-Atlantic
Hedge Fund
The U.K.’s leading hedge fund in Trans-Atlantic Fixed-Income/Equity investing
1
Table of Contents
Executive Summary……………………………………………………………………………………………………………….P.3
Part One……………………………………………………………………………………………………………………………….P.3
Sectors…………………………………………………………………………………………………………………….P.3-4
ConsumerDiscretionary…………………………………………………………………………………P.3
Technology…………………………………………………………………………………………………….P.3
Communications…………………………………………………………………………………………….P.4
Equities………………………………………………………………………………………………………………….P.5-10
Amazon………………………………………………………………………………………………………
SuperComLtd…………………………………………………………………………………………………
Tesla…………………………………………………………………………………………………
Netflix…………………………………………………………………………………………………
Disney…………………………………………………………………………………………………
IMAX…………………………………………………………………………………………………
FixedIncome…………………………………………………………………………………………………………
River9 (11/01/18)…………………………………………………………………………
TSLA 1.25 (03/01/21)………………………………………………………………………….
SHLD 6.5 (12/01/28)…………………………………………………………………………….
RAD 7.7 (02/15/27)…………………………………………………………………………………
ALUFP 6.5 (01/15/28)………………………………………………………………………………..
TOY 7.375 (10/15/18)…………………………………………………………………………….
AssetAllocation……………………………………………………………………………………………………..
SelectedBenchmark……………………………………………………………………………………………….
2
Table of Contents
Part Two…………………………………………………………………………………………………………………………..
WeeklyAnalysis of PortfolioPerformance…………………………………………………………….
Part Three……………………………………………………………………………………………………………………..
S&P500 & Jensen’sAlpha……………………………………………………………………………………………
Part Four…………………………………………………………………………………………………………………………..
Benchmark Tracking……………………………………………………………………………………………………
3
Executive summary
As determined by The National Bureau of Economic Research (2010) the economy is currently
in an expansionary period of the business cycle coming out of the recession which ended June
of 2009. Based on findings from appendix I through VI I believe that the economy is expanding,
albeit cautiously, presenting an investment opportunity where cyclical stocks and high yield
bonds will do well due to easy access to capital, and low interest rates and inflation. As a result,
there will be a focus on securities within the three sectors which are expected to benefit most
from an expanding economy, and current societal trends: consumer discretionary, technology,
and communications. The asset allocation for this portfolio was based on the CAPM, and used
SD and Beta for measuring risk. The S&P500 was used as the benchmark index; however, there
was a large disparity in the returns of the benchmark and portfolio of 23.18.
4
Part One
Sectors
Consumer Discretionary
Consumer discretionary appears to be an excellent sector to invest in considering its YTD
performance in relation to other sectors of 3.91% (Appendix VIII). Going forward it is expected
to continue to outperform, with low oil prices (Appendix IV) and rising income and consumption
(Appendix III). These, paired with lower unemployment (Appendix I), increasing consumer
confidence (Appendix VI), and an expanding U.S. economy are the driving factors for favoring
consumer discretionary.
Technology
Technology was chosen because of its fast-growing and cyclical nature. As such, we expect this
sector to benefit from the effects of an expanding economy, and societal trends of becoming
ever-more dependent on technology. High consumer discretionary growth is expected to spill
over into technology as retailers are pressed with the challenge of attracting the multi-
channeled consumer. Another advantage, and potentially disadvantage with the current US
economy, is technology’s ability to easily reap the rewards of globalization. For a fraction of the
cost tech companies are able to attract large revenues from foreign markets, but are in danger
of increased costs due to the strong USD.
Communications
Communications is growing fast as a result of disruptive technology in areas like filmand
entertainment, and internet media. Major players are adapting to the integration of technology
5
as opposed to falling behind as a result of its disruption. The sector boasted a relatively good
YTD performance of 1.09% (Appendix VIII), while macroeconomic trends (Appendix III;
Appendix VI; Appendix I), support growth expectations. The communications sector has had a
divergence in share prices and earnings (Appendix X), leading me to believe the sector as a
whole is undervalued. This belief is supported by the distortion between a P/E decrease of
48bp, in contrast to the S&P 500’s 45bp increase (Appendix XII), despite the communications
sector share prices outpacing S&P500 growth by more than 2500% (Appendix XIII).
6
Equities
Amazon
Record low oil prices (Appendix IX) allow Amazon to drastically reduce prices and increase
convenience for consumers. With the transformation from bookstore to superstore,
introduction of Amazon prime in 2005, a video streaming service in 2012 (Mangalindan, 2012),
and talk of drone delivery systems (Guarini, 2014), Amazon has proven its ability to
continuously innovate and reinvent itself; making it a trustworthy investment.
Amazon’s retention ratio and D/E show there is no lack of growth prospects or
reinvestment (Appendix XIX), while their D/A and free cash flow alleviates any worry of over-
leveraging (Appendix XIX). Amazon has seen consistent, and large, revenue increases over the
last 4 years (Appendix XX), in comparison to EBay who had revenues decline sharply (Appendix
XXI). Although Amazon’s revenue growth is not as high as Alibaba’s (Appendix XXII), Amazon’s
revenues are more than 10 times larger, making their growth rates 10 times more impressive
(Appendix XX). Lastly, Amazon appears to be overvalued on P/E basis, but their price to sales is
actually below the average of their peers (Appendix XIX); hinting that they are slightly
undervalued on a sales basis and their P/E ratio is a testament to their financial solidity and
expected future cash flows.
SuperCom LTD.
I expect high consumer discretionary growth to benefit SuperCom, as their products are used in
consumer discretionary as well as other industries which have seen positive growth. For
example transportation and industrials, which have both seen growth of close to 8% (Appendix
XIV) since the same time last year and traditionally do well in an expanding economy.
7
SuperCom pays no dividends allowing it to reinvest all of its profits back into the business
(Appendix XXIII). The company is below the average of its peers for P/E, P/B, and P/S valuation
ratios (Appendix XXIII), despite revenues showing a significant increase in the past year, strong
expected future revenues (Appendix XXIV), and a good EPS (Appendix XXIII). The biggest
indicator of SuperCom’s undervaluation is that their ROC, ROE, ROA, and ROIC are all
significantly higher than its peers (Appendix XXV). I believe that the stock price will raise to
bring these ratios closer to the peer average as the company has low D/E and D/A, and a good
current ratio removing most fears surrounding the company’s efficiency or capital structure
(Appendix XXIII).
Tesla
Tesla’s share price is based mostly on expectations for the future, and is driven by sentiment,
news, and CEO Elon Musk, but shows great potential for revolutionizing the market. Rachel
Layne and Dana Hull (2015) wrote in March that analyst Andrea James from Dougherty & Co.
says Tesla is quietly signing industrial customers and has the potential to add $50-$70 to the
share price with the grid storage opportunity. Further, the article stated that Tesla has won 80%
market share of non-residential grid-storage applications in California, and that if California
keeps on pace with projections in the next two years and Tesla retains market share, revenues
could increase to $2B (Layne and Hull, 2015). On top of promising news surrounding Tesla’s
emerging power storage opportunities, “Tesla's March China sales are up 130%-150% month-
over-month,” (Layne and Hull, 2015), and Musk intends to further Tesla’s presence in China by
adding more charging stations and redesigning the cars to better appeal to the Chinese tastes
(Bloomberg News, 2015). Revenue for Tesla increased by 58% in 2014, and they have a strong
8
current ratio (Appendix XXVI). Tesla has a good P/B and P/S ratio (Appendix XXVI) displaying the
earning power of the assets on Tesla’s books, and the high expected value of future cash flows.
Netflix
Netflix is gaining in popularity among consumers, and is expanding to multiple countries in
order to continue its growth at the same pace it has in the U.S market (Cohen, 2015).
Consumers have a “content-on-demand” attitude, and this is only going to grow as Netflix
enters more markets; gaining a first to market advantage (Knight and Lynch, 2015). Netflix pays
no dividend, and so reinvests its earnings back into the company (Appendix XXVII). Last year
revenue for Netflix increased by 25.83% (Appendix XXVII), net income increased by 72%
(Appendix XXVIV) and Diluted EPS increased by 107.36% (Appendix XXVIV). Netflix sports ROC,
ROE, and ROIC ratios that are much higher than the average of its peers (Appendix XXVIII).
Further, Netflix has solid financial ratios in comparison to peers like their current ratio and D/E
ratio (Appendix XXVII) which shows they have room to take on more debt to finance their
expansion into other markets.
Disney
Disney has been releasing/announced films which/are expected to top the box office like
American Sniper and Star Wars VII and has been able to create additional revenues from these
films through merchandise and theme park attractions (Palmeri, 2015; Sakoui and Bit, 2015).
These releases allowed Disney to beat expected 1Q 2015 EPS and revenue, and provided
further ammunition to do so again in the coming quarters (Freund, 2015). With rising consumer
spending, incomes (Appendix III), and confidence (Appendix VI) I expect sales of movies and
merchandise, as well as attendance at theme parks to continue to rise in the coming quarter.
9
Although Disney does pay dividends, their coverage ratio is high enough to give me assurance
of good future prospects for the company. Disney is in a good position fundamentally with a
good ROIC and ROIC/WACC ratio, as well as an abundance of free cash flow which will allow
them to fund further projects (Appendix XXX). Disney also has a good EPS in relation to peers
considering they have more than 1.25 times the average amount of shares outstanding, and a
strong net profit margin and revenue growth over the past year (Appendix XXXI).
IMAX
IMAX has a very close relationship with Disney, and I expect them to feed off of their success
from films like Star Wars VII (Buckles, T. et al., 2015). IMAX has good future prospects with
sequels like Frozen 2 and Furious 7, and HBO partnerships for Game of Thrones (Buckles, T. et
al., 2015). Also, IMAX is projecting a 28% adj. EBITDA growth rate as their cost base is mostly
fixed (Buckles, T. et al., 2015). IMAX’s ROC, ROE, ROA, ROIC, and free cash flow are well above
the average for their peers (Appendix XXXII). Further, IMAX has a strong current ratio, working
capital, and D/E ratio adding financial robustness to their structure, which makes me think they
are undervalued on a P/E basis (Appendix XXXIII).
10
Fixed Income
Introduction
Because of the short Investment time horizon and expanding economic climate with prolonged
low inflation (Appendix IV) and interest rates there is essentially no inflation or interest-rate
risk, and thus call risk, duration, and convexity are eliminated as factors. There is little expected
event risk either, as the government is unlikely to impose regulation on sectors which help drive
the expansion of the economy. The bonds were chosen in sectors that are expected to see the
most growth with the expanding economy and dovish FED (Riccadonna, 2015). The FED being
dovish works in favor of corporate bonds as credit spreads are high at the moment reducing the
chance of them being narrowed by interest-rate hikes, and because this policy allows more
access to capital reducing credit risk.
River Rock Entertainment Authority (River 9 11/01/18)
This is a defaulted bond which is not rated, but the bond is considered 1st lien, and Sr. secured
debt rated by Moody’s at B3 (Appendix XXXIV). The company’s D/E ratio is 2959.03 (Appendix
XXXV), meaning the company is heavily leveraged. The high proportion of leverage is acceptable
when the company boasts a 2.23 interest coverage ratio, net income growth of 8.54% from last
year, and a ROA of 11.85 with their low WACC cost of debt of 0.9976 (Appendix XXXV). These
ratios are a testament to the company’s ability to pay off its debts effectively, and to generate
cash flow from its assets. There is still the worry of credit risk as the bond is defaulted, but the
organization only defaulted once in May, 2014 since its issuance in 2011, drastically reducing
the bond’s value (Business Wire, 2014). Another worry is the size of issuance, as it might be
hard to trade a private company’s bond, but there were $96.622M issued, and there is still
11
$70.383M outstanding reducing any worry surround the marketability of the bond (Appendix
XXXVI).
Tesla Motors Inc. (TSLA 1 ¼ 03/01/21)
Tesla has a capitalization ratio of 68.33%, and is not overly leveraged (RV of Bonds). With an
interest-coverage ratio of -2.94 (RV of Bond), one begins to worry; however, taking into account
the aforementioned analysis of Tesla and its ability to generate equity funding, high P/B and P/S
ratios, and impressive 58% revenue growth last year (Appendix XXVI) I am confident in their
ability to cover interest payments while funding future projects. I believe the bond to be
undervalued based on a B-u rating (RV of Bond) and that when the stock price raises so will the
value of the bond, as investors will realize the latent value in Tesla’s discounted cash flows.
Sears Roebuck Acceptance Corp. (SHLD 6 ½ 12/01/28 Corp)
Sears has enough assets, with a current ratio of 1.05, and a working capital of 268,000,000 to
support the debt (Appendix XXXVIII), as well as strong cash flow from investing activities which
increased last year by 252% to USD423.56M, and is expected to increase by another 727.44% to
1655.68 over the next 2 fiscal periods (Appendix XXXVIII). These numbers alleviate most of the
credit risk surrounding the bond as Sears has sufficient capital to pay their debts, and can use
the cheaper capital available from current policy to refinance.
Toys R Us (TOY7 ⅜ 10/15/18 Corp)
Toys R Us has a current ratio of 1.28, a working capital of 427,730,000, and a projected increase
in cash flow from operations of 217% from $91.86M to $291M for the coming fiscal period,
which will produce an additional $164.61M in free cash flow to pay down debts (Appendix
XXXVIV). Investors will be willing to pay more for the high coupon payment once they realize
12
that Toys R Us has the capital to pay back its debts in the near future, because of the deep
discount they’re getting it at.
Alcatel-Lucent USA Inc. (ALUFP 6 ½ 01/15/28 Corp)
Alcatel-Lucent USA Inc. has a capitalization ratio of 63%, meaning their leverage is actually not
that high (Appendix XXXVII). Revenues increased by almost 10% last year, and net income at
1.4% (Appendix XXXVII). This coupled with their WACC of debt of 0.73% (Appendix XXXV), and
their 1.45 current ratio, $4.1B working capital, and ROIC of 2.78% (Appendix XXXX) gives me
confidence in their ability to pay their debts, and even grow. Moving forward I believe that
investor demand will increase if the current financial stability of Alcatel-Lucent remains steady,
as it offers a 6.5 coupon in a period of prolonged low interest rates, and has the potential to
upgrade from a BB+ rating (Appendix XXXVII).
Rite Aid Corp. (RAD 7.7 02/15/27 Corp)
Rite Aid Corp. is currently suffering from equity problems with a capitalization ratio of 157%
which heavily devalues the bond (Appendix XXXVII). This would seem like over-leveraging, but
their interest-coverage ratio is healthy at 1.53 (Appendix XXXVII) with a ROA of 3.55%, ROIC of
20.29%, and free cash flows of $368.17M (Appendix XXXXI). Offering a coupon rate of 7.7% on
Sr. unsecured debt in these low interest times with this kind of financial stability gives me full
reason to believe that this bond is undervalued and under-rated at B+ (Appendix XXXVII).
13
Asset Allocation (Appendix XXXXII)
Because there are no penalties for investing smaller amounts of money into the fixed income
market as would normally be true, I have only allocated 30% of the portfolio to the high-yield
bonds due to risk exposure. The equity weightings were selected according to the CAPM model
which determined the securities with the highest expected return. Through this model I
attempted to match a 1.0 beta in order to mimic the risk exposure of the U.S market. For
weighting the fixed income I used the above analysis to determine which bond had the
strongest fundamentals and the highest yields. Based on the asset allocation used the portfolio
had an expected annualized return of 110% with a 1.0 beta, in contrast to the market which
had an expected return of 9.43 with a 1.0 beta. The portfolio’s expected variance was 17.60,
with a SD of 4.195 (Appendix XXXXIII), meaning this portfolio theoretically has a 99% chance of
being profitable as even 3 SD’s away from the mean of 110% is a positive return.
14
Selected Benchmark
I have decided to choose the S&P500 as my benchmark index. The majority of the portfolio
(70%) is in large market cap equities traded on the S&P500, proving to be a good fit on for the
benchmark on the equity side. CNBC found there has been a positive correlation over the last 5
years between the Barclays U.S Corp HY Index and the S&P 500 (Chemi, 2015), making it the
most suitable index to use as a benchmark. I do expect some tracking error due to the
discrepancy in the holdings of the index and this portfolio; however I did organise the asset
allocation of this portfolio to have a beta of 1.0, mimicking the S&P500’s systematic risk level,
and thus price movements.
15
Part Two
Weekly Analysis of Portfolio Performance
In the first week of April the portfolio outperformed the S&P500 by about 3% (Appendix XV).
The increase could have been a result of Tesla’s upgrade to the model S (Ramsey, 2015).
Another possibility is that investors realized the true credibility of River Rock Entertainment
(Appendix XXXXIV), doubling the value of their high yield bonds. Alternatively, Netflix tweeted
that their global streaming hours increased by 54% from 6.5bn in 2014, a number which made
current expectations of subscribership appear heavily understated (BTG, 2015).
The second week was similar in that the portfolio beat the S&P500 again by 5%, with the
S&P actually dropping by 100bp (Appendix XV). In this week the only stock which performed
exceptionally was Netflix with a 25% gain (Appendix XXXXV) after beating expectations for
subscribership and earnings in Q1 (Pett, 2015), leading me to believe my weighting in Netflix vs.
the S&P500 is what caused this outperform.
The third week the portfolio and its benchmark S&P500 had similar returns (Appendix
XV). The portfolio didn’t perform that well but was saved from an 18% increase in Amazon’s
share price (Appendix XXXXVI) after releasing earnings from its cloud computing which were
49% higher from last quarter. One possibility for the S&P500 almost matching returns is that
cloud computing as an industry saw a boost in revenue, with Microsoft and Google also
benefiting among others.
16
The final week of the holding period was the biggest discrepancy with the S&P 500
dropping by 40bp and the portfolio earning over 6% (Appendix XV). I believe this was caused by
investors realizing River Rock’s bonds were undervalued as a result of the defaulted label as
they jumped by 70% (Appendix XXXXIV). Another reason for this increase could have been the
decision to not raise interest rates at the April Fed meeting, causing a higher demand for high-
yielding bonds.
17
Part Three
S&P500 & Jensen’s Alpha
Although achieving a beta of 1.0 was accomplished, we are assuming that all unsystematic risk
has been eliminated. This is not the case as the equities chosen are all within 3 sectors, and
within 5 industries. Moreover, the industries’ revenues, earnings, and costs have similar drivers,
and the companies chosen all play some part in the every industry. This being said, establishing
a beta of 1.0 is still an important objective as we are never going to be truly rid of unsystematic
risk, the portfolio is still relatively well diversified, and based on the macroeconomic analysis
conducted (Appendices I through VII) the other sectors were not optimal choices regardless of
additional diversification.
The expected monthly return of the portfolio based on the CAPM was 6.39%, with a
beta of 1.000315108 (Appendix XXXXII), and a standard deviation of 4.19 (Appendix XXXXIII).
The actual monthly return of the portfolio was 25.27% (Appendix XVII). When we calculate this
against a monthly risk-free rate of 0.052126967% (XXXXVII), and a monthly market return of
2.0925% (Appendix XVI), we get a Jensen’s Alpha of 23.18 in comparison to the S&P500. When
comparing the actual return against the expected portfolio return based on the CAPM, we get
an excess return of 18.88%.
18
Part Four
Benchmark Tracking
This portfolio had a mix of passive and active management. I did attempt to beat the market
through fundamental and sentiment analysis, and I don’t believe markets are efficient. I know
investors are not rational, and do not have access to unlimited information. I think
opportunities can be identified through top down analysis like the one used for this report,
taking into account macroeconomic, sector, industry, and firm level factors. I also believe that
sentiment plays a larger role than any fundamental factors because the market has a hard time
accurately accounting for it. This portfolio did not track the benchmark well with a tracking
error of 4.725, and a correlation coefficient of -.074808 (XXXXVII). I think this relatively high
tracking error stems from the fact that this portfolio has high-yield bonds, and that this
portfolio took into account macro-economic trends and consumer lifestyle trends. However it
could also have been the effect of an odd market climate.
The value of the portfolio at the end of the holding period was $22,076,089.85 USD, earning a
25.27% HPR (Appendix XVII).
19
References
National Bureauof EconomicResearch.(2010). BusinessCycle DatingCommittee,National Bureauof
EconomicResearch.BusinessCycleDating Committee, 20 September.Available from
http://www.nber.org/cycles/sept2010.html [Accessedon4th
,April,2016]
Mangalindan, J. (2012). Amazon's Prime and punishment. Fortune, 21 February. Available from
http://fortune.com/2012/02/21/amazons-prime-and-punishment/ [Accessed April 4th, 2016].
Guarini, D. (2014). Amazon Reveals It Wants To Deploy Delivery Drones. No Joke. The
Huffington Post, 23 January. Available from
http://www.huffingtonpost.com/2013/12/01/amazon-prime-air-delivery-
drones_n_4369685.html [Accessed April 4th, 2016].
Layne, R. and Hull, D. (2015). Tesla in ‘Substantially Better Position’ Than Yr Ago: Dougherty.
Bloomberg First Word, March, 31. Available from Bloomberg Terminal [Accessed April 4th,
2016].
News, Bloomberg. (2015). Musk Reboots Tesla's China Strategy. Bloomberg News, 30 March.
Available from http://www.bloomberg.com/news/articles/2015-03-29/musk-reboots-tesla-
china-strategy-as-range-anxiety-crimps-sales [Accessed April 4th, 2016]
Herald, The Sydney Morning. (2015). The tweet that added $1 billion to company's bottom line.
The Sydney Morning Herald, 31 March. Available from http://www.smh.com.au/it-
pro/business-it/the-tweet-that-added-1-billion-to-companys-bottom-line-20150331-1mc0sq
[Accessed April 4th, 2016].
Cohan, P. (2015). 4 Reasons To Invest In Netflix. Forbes, 21 Jan. Available from
http://www.forbes.com/sites/petercohan/2015/01/21/4-reasons-to-invest-in-
netflix/2/#98404076db2c [Accessed April 4th, 2016].
Knight, E. and Lynch, J. (2015). Arrival of Netflix and SVOD set to change Australian TV. The
Sydney Morning Herald, 28 March. Available from http://www.smh.com.au/business/media-
and-marketing/arrival-of-netflix-and-svod-set-to-change-australian-tv-20150326-1m8zlo
[Accessed April 4th, 2016].
Palmeri, C. (2015). Disney Profit Tops Estimates as ‘Frozen’ Gifts Star for Holidays. Bloomberg
News, 2 March. Available from Bloomberg Terminal [Accessed April 4th, 2016].
Sakoui, A. and Bit, K. (2015). Eastwood’s ‘American Sniper’ Tops Box Office for Second Week.
Bloomberg News, 25 January. Available from Bloomberg Terminal [Accessed April 4th, 2016].
20
Freund, J. (2015). Walt Disney Adj. EPS, Rev. Beat Highest Ests. Bloomberg First Word, 2 March.
Available from Bloomberg Terminal [Accessed April 4th, 2016].
Buckles, T. et al. (2015). IMAX: Management Meetings ReaffirmEarnings Power of Robust Box
Office Outlook and Highlight Longer-Term Opportunities. J.P. Morgan, 21 March. Available from
Bloomberg Terminal [Accessed April 4th, 2016].
Riccadonna, C. (2015). Dot Plot Suggests Fed Is Able, Not Yet Ready or Willing. Bloomberg
Intelligence, 20 March. Available from Bloomberg Terminal [Accessed April 4th, 2016].
Wire, Business. (2014). River Rock Entertainment Authority Announces Failure to Make
Scheduled Interest Payment. Business Wire, 28 May. Available from Bloomberg Terminal
[Accessed April 4th, 2016].
Chemi, E. (2015). The correlation between the S&P 500 and high-yield bonds. CNBC, 15
December. Available from http://www.cnbc.com/2015/12/15/the-correlation-between-the-sp-
500-and-high-yield-bonds.html [Accessed April 4th, 2016].
Ramsey, M. (2015). Tesla to Upgrade Slower-Selling Version of Model S. Wall Street Journal, 8
April. Available from http://www.wsj.com/articles/tesla-to-upgrade-base-version-of-model-s-
1428490801 [Accessed April 4th, 2016].
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Subs Now Streaming Over 2 Hours/Day. BTG, 9 April. Available from Bloomberg Terminal
[Accessed April 4th, 2016].
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Available from Bloomberg Temrinal [Accessed April 4th 2016]
21
Appendix I
Retrievedfrom:Bloombergterminal,2016 (Index USUDMAER* & USURTOT - trackingU-3 & U-6
unemploymentrespectively)
Unemployment
Official unemployment (U-3) and U-6 unemployment are showing a long-term trend
downward returning to pre-recession levels, and remaining below their respective 200-day
moving averages signaling the strength of this downward trend. However, this is a simple
moving average, and not an exponential moving average, and so could be overstating the
strength of this downtrend. As a result it is imperative to look at other indicators to support the
claim the economy is in recovery. For example, just because people have jobs doesn’t mean
they are making more money, and thus have more disposable income.
* U-6 unemployment includes marginally attached workers and those working part-time for
economic reasons
22
Appendix II
Retrievedfrom:Bloombergterminal,2016 (Index ETSLTOTL& USPHTOTL – tracking existing&pending
home salesrespectively)
Pending and Existing Housing Sales
Housing sales are on the rise with a strong upward trend, and with potential sales hinting that existing
sales will continue the upward trend (Appendix II). This hints at further economic stimulation and encourages
me to lean toward sectors which do well during expansionary times. This rapid increase could be a result of a
weak housing market, but regardless is another signal of the economy’s recovery. However, there is a
possibility that the sales are being fueled by an increase in foreign investment, meaning consumers in the US
are not showing increased spending and optimism.
23
Appendix III
Retrievedfrom:Bloombergterminal,2016 - US Personal ConsumptionExpenditure Chained2009 Dollars
YoY SA (PCECHY% Index),USDisposable Personal IncomeChained2009 DollarsYoY (PIDSCWT% Index)
Disposable Income and Consumer Spending
It can be seen that both real disposable income and personal consumption are higher than 2008
pre-recession levels. Disposable personal income shows positive change of almost 1%, and
spending is up almost 2%. Although these aren't promising growth rates in a mature economy,
they do signal growing belief in the economy from consumers and thus consumption for cyclical
stocks is expected to grow. The lack of consistency in the growth could also be a result of an
unsteady global economic climate which is still recovering from the 2008 meltdown, as now
more than ever economies are feeling the effects of globalization and interconnectedness.
24
Appendix IV
Retrievedfrom:Bloombergterminal,2016 – EHPIUSY Index (USConsumerPrice Index (AnnualYOY%))
Inflation
Inflation is sitting well below its 50 day moving average and the 2% target set by the FED. This
counters expectations for promising economic growth; because inflation reflects the growth of an economy to
an extent, meaning this far out from the recession we should be seeing higher rates. However, it is promising
for wages and, coupled with low interest rates, consumption of cyclical products and big purchases like
automobiles and new tech as costs of borrowing are low. The other side of this is that US treasuries will have
low yields for the time being which is adverse to our portfolio’s goal of achieving high returns with minimal risk
as government bonds are excellent hedging tools.
25
Appendix V
Retrievedfrom:Bloombergterminal,2016 – US TreasuryActivesCurve asof 04/01/15
Yield Curve
There is a normal yield curve for active US treasuries which shows investors are confident in
the expansion of economy - spread is 192.56bp as per Market Matrix US Sell 2 year & Buy 30
year bond yield spread at April 1st 2015. Based on the yield curve and spread from 2yr to 30yr
bonds we can expect the economy to expand and inflation to pick up. At the very least, we can
be confident that investors expect the economy to continue expanding based on the current
monetary and fiscal policy in place/expected, and will thus continue to increase spending on
cyclical products and help drive the economy. This being said, based on the shape of the yield
curve from 1 month to 2 years it appears that no rises in interest rates or inflation are going to
take place in the immediate future.
26
Appendix VI
Retrievedfrom:Bloombergterminal,2016 - CONSSENT Index (University of Michigan Consumer
Sentiment Index)/CONSCURR Index (University of Michigan Current Economic Conditions
Index)/CONSEXP Index (The University of Michigan Consumer Expectations Index)
Consumer sentiment in the U.S.
The results from the CONSSENT Index from the University of Michigan which surveys
consumer attitudes and expectations toward personal finances, general business conditions,
and market conditions to determine the change in consumers’ willingness to buy shows
consumer sentiment is on the rise (Appendix VI). These results are coupled with the
CONSCURR Index which shows consumer confidence regarding the general state of the
economy in Continental USA, and the CONSEXP Index which measures consumers’ views for
their own financial situation, as well as prospects for the general economy over the near and
long term (Appendix VI). All of these indices have almost reached the same levels, and in some
cases surpassed, where they were at their peak in 2007 (Appendix VI). This is another indicator
showing that consumer sentiment is good and that the economy is expanding. Although it
ignores the large effect institutional investors have on the economy it does support the
expectation that the economy will continue to grow in the near future.
27
Appendix VII
Retrievedfrom:Bloombergterminal,2016 - YoY% v. QoQ% in US GDP
Real GDP growth
YoY% v. QoQ% growth in US GDP shows growth to be dismal (Appendix VII). It appears that prospects for
company growth are minimal at this time, but consumer sentiment drives share price and the economy heavily.
I expect GDP growth to pick up in the near future, and to not have a heavy effect on the share prices over the
next month, as it appears to be rising for the second quarter of 2015 as a result of a sustained increase in
consumer spending (Appendix III) and decrease in unemployment (Appendix I).
28
Appendix VIII
Retrievedfrom:Bloombergterminal,2016 – YTD performance of sectorsinthe S&P500
29
Appendix IX
Retrievedfrom:Bloomberg terminal,2016 – Price of crude oil futurescontracts(WTI andBRENT)
30
Appendix X
Retrievedfrom:Bloombergterminal,2016 – graph showingearningsof telecommunicationssector
(yellow) atitshighestwhileshare priceslagbehind
31
Appendix XI
Retrievedfrom:Bloombergterminal,2016 – graph showingdisparitybetweentelecommunications
sector(S5TELS Index) P/EandS&P500 as a whole (SPXIndex)
32
Appendix XII
Retrievedfrom:Bloombergterminal,2016 – graph showingthe movementinshare prices forthe
telecommunicationssector(S5TELSIndex) andS&P500 as a whole (SPXIndex)
33
Appendix XIII
Retrievedfrom:Bloombergterminal,2016 – Dow Jones Transportation (TRAN) and Industrial (INDU)
Averages from April 1st
, 2014 – April 1st
, 2015
34
Appendix XIV
Retrieved from Bloomberg Terminal, 2016 - Weekly Performance of Portfolio Vs. S&P500 for 04/01/15 - 05/01/15
35
Appendix XV
RetrievedfromBloomberg Terminal,2016 - Comparisonof PortfolioReturns to Benchmark S&P500*
*returnof portfolioingraphdoesnotexactlymatchworksheet(3.5% discrepancy) asBloomberg
interpolatedsome of the bondvalueswhen creatingthisgraphusingpricesoutside of the investment
holdingperiod(ie.BeforeApril 1st
,orafterMay 1st
).
36
Appendix XVI
BloombergTerminal,2016 - Summaryof Portfolio
UserName
Portfolio
Benchmark
As-ofDate
Currency
# % Wgt Mkt Val Px Close @ 04/01/15* % Wgt Mkt Val Px Close @ 05/01/15 Actual Return (%) Crncy
12 100.00 17,623,200 100.00 22,076,089.85 25.27% USD
Communications 3 35.41 6,240,375 35.41 7,435,230.57 19.15% USD
ALUFP6½01/15/28 5.00 881,160 101.75 5.00 956,935.43 110.5 8.60% USD
NETFLIXINC 16.70 2,943,074 59.15 16.70 3,959,125.14 79.576 34.52% USD
WALTDISNEYCO/THE 13.71 2,416,141 104.72 13.71 2,519,170.00 109.1811 4.26% USD
Consumer, Cyclical 7 54.22 9,555,299 54.22 12,584,629.32 31.70% USD
AMAZON.COMINC 14.16 2,495,445 372.25 14.16 2,834,785.43 422.87 13.60% USD
RAD7.702/15/27 5.00 881,160 117.000 5.00 905,636.67 120.25 2.78% USD
RIVER911/01/18 6.00 1,057,392 3.50 6.00 2,870,064.00 9.500 171.43% USD
SHLD6½12/01/28 4.00 704,928 63.450 4.00 784,697.63 70.63 11.32% USD
TESLAMOTORSINC 15.06 2,654,054 187.59 15.06 3,197,909.31 226.03 20.49% USD
TOY7⅜10/15/18 4.00 704,928 67.282 4.00 740,215.26 70.65 5.01% USD
TSLA1¼03/01/21 6.00 1,057,392 191.00 6.00 1,251,321.01 226.03 18.34% USD
Technology 2 10.37 1,827,526 10.37 2,056,229.97 12.51% USD
IMAXCORP 9.75 1,718,262 34.25 9.75 1,900,874.37 37.89 10.63% USD
SUPERCOMLTD 0.62 109,264 8.70 0.62 155,355.60 12.37 42.18% USD
Composite FI / EQTY Portfolio
CompositeFI/EQTYPortfolio
S&P500INDEX(SPX)
04/03/2015
USD
Port
PORTHoldingsReport
Protfolio
Summary
W330135W330135
37
Appendix XVII
RetrievedfromBloomberg,2016 - Amazonshare price movementw/earningsexpectations
38
Appendix XVIII
RetrievedfromBloombergterminal,2016 – Snapshotof Amazon’srelative valuetopeersasof 04/01/15
Ticker Name P/E:20150401 P/S:20150401 DvdYld:20150401 Debt/Equity:Y-1 Debt/Assets:Y-1 FCF:Y-1
AMZN USEquity AMAZON.COMINC 482.7 1.8656 0 149.7905 29.5184 1948999936
BABA USEquity ALIBABAGROUPHOLDING-SPADR 65.9634 15.7379 0 100.6296 36.8224 3531343569
DANG USEquity E-COMMERCECHINA-SPONADR-A 190.7896 0.5251 0 0 0 29120227.49
EBAY USEquity EBAYINC 10.9901 2.2815 0 38.3151 16.8993 5055000064
JD USEquity JD.COMINC-ADR (N/A) 1.8611 0 5.0423 2.8436 509121734
MELI USEquity MERCADOLIBREINC 61.3847 9.2811 0.4852 79.7738 29.3558 162367328
VIPS USEquity VIPSHOPHOLDINGSLTD-ADR 102.9242 3.7838 0 142.8795 22.7419 414862223.5
Average 152.4586667 5.048014286 0.069314286 73.77582857 19.7402 1664402155
Difference 330.2413333 -3.182414286 -0.069314286 76.01467143 9.7782 284597781.4
39
Appendix XIX
RetrievedfromBloombergTerminal,2016 – Summaryof Amazon’sfinancial performance
Amazon.com Inc (AMZN US) - Adj Highlights
In Millions of USD FY 2008 FY 2009 FY 2010 FY 2011 FY 2012 FY 2013 FY 2014
12 Months Ending 12/31/2008 12/31/2009 12/31/2010 12/31/2011 12/31/2012 12/31/2013 12/31/2014
Market Capitalization 21,947.8 59,726.9 81,180.0 78,760.5 113,895.0 183,044.6 144,312.8
- Cash & Equivalents 3,727.0 6,366.0 8,762.0 9,576.0 11,448.0 12,447.0 17,416.0
+ Preferred & Other — 0.0 0.0 0.0 0.0 0.0 0.0
+ Total Debt 664.0 381.0 865.0 1,939.0 4,964.0 6,889.0 16,089.0
Enterprise Value 18,884.8 53,741.9 73,283.0 71,123.5 107,411.0 177,486.6 142,985.8
Revenue, Adj 19,166.0 24,509.0 34,204.0 48,077.0 61,093.0 74,452.0 88,988.0
Growth %, YoY 29.2 27.9 39.6 40.6 27.1 21.9 19.5
Gross Profit, Adj 4,270.0 5,531.0 7,643.0 10,789.0 15,122.0 20,271.0 26,406.0
Margin % 22.3 22.6 22.3 22.4 24.8 27.2 29.7
EBITDA, Adj 1,129.0 1,558.0 1,974.0 1,945.0 2,910.0 4,010.0 5,094.0
Margin % 5.9 6.4 5.8 4.0 4.8 5.4 5.7
Net Income, Adj 645.0 932.6 1,151.4 628.4 173.3 285.4 -130.5
Margin % 3.4 3.8 3.4 1.3 0.3 0.4 -0.1
EPS, Adj 1.39 2.11 2.53 1.36 0.38 0.61 -0.28
Growth %, YoY 24.1 51.7 19.9 -46.0 -72.3 62.3 —
Cash from Operations 1,697.0 3,293.0 3,495.0 3,903.0 4,180.0 5,475.0 6,842.0
Capital Expenditures -333.0 -373.0 -979.0 -1,811.0 -3,785.0 -3,444.0 -4,893.0
Free Cash Flow 1,364.0 2,920.0 2,516.0 2,092.0 395.0 2,031.0 1,949.0
Source: Bloomberg
Revenune CAGR 2010 - 2014 = 27%
= FV/PV^(1/n)
27.00289979
40
Appendix XX
RetrievedfromBloombergTerminal,2016 – Summaryof Ebay’sfinancial performance
eBay Inc (EBAY US) - Adj Highlights
In Millions of USD FY 2008 FY 2009 FY 2010 FY 2011 FY 2012 FY 2013 FY 2014
12 Months Ending 12/31/2008 12/31/2009 12/31/2010 12/31/2011 12/31/2012 12/31/2013 12/31/2014
Market Capitalization 17,897.1 30,537.2 36,115.3 39,019.2 65,991.0 70,995.3 68,690.9
- Cash & Equivalents 3,352.7 4,943.8 6,622.8 5,929.4 9,408.0 9,025.0 7,835.0
+ Preferred & Other — 0.0 0.0 0.0 0.0 0.0 0.0
+ Total Debt — 0.0 1,794.2 2,089.6 4,519.0 4,123.0 7,627.0
Enterprise Value — 25,593.4 31,286.7 35,179.4 61,102.0 66,093.3 68,482.9
Revenue, Adj 8,541.3 8,727.4 9,156.3 11,651.7 14,072.0 16,047.0 8,790.0
Growth %, YoY 11.3 2.2 4.9 27.3 20.8 14.0 -45.2
Gross Profit, Adj 6,313.2 6,247.6 6,591.6 8,191.5 9,856.0 11,011.0 7,127.0
Margin % 73.9 71.6 72.0 70.3 70.0 68.6 81.1
EBITDA, Adj 2,844.6 2,305.9 2,855.5 3,313.0 4,121.0 4,774.0 3,165.0
Margin % 33.3 26.4 31.2 28.4 29.3 29.8 36.0
Net Income, Adj 1,779.5 1,557.0 1,815.3 1,861.9 2,556.4 2,799.1 -860.5
Margin % 20.8 17.8 19.8 16.0 18.2 17.4 -9.8
EPS, Adj 1.55 1.19 1.37 1.42 1.95 2.14 -0.69
Growth %, YoY 32.5 -23.1 15.0 3.5 37.5 9.6 —
Cash from Operations 2,882.0 2,908.1 2,745.8 3,273.7 3,838.0 4,995.0 5,677.0
Capital Expenditures -565.9 -567.1 -723.9 -963.5 -1,257.0 -1,250.0 -622.0
Free Cash Flow 2,316.1 2,341.0 2,021.8 2,310.2 2,581.0 3,745.0 5,055.0
Source: Bloomberg
Revenune CAGR 2010 - 2014 = -1.02%
= FV/PV^(1/n)
-1.015424787
41
Appendix XXI
RetrievedfromBloombergterminal,2016 – Summaryof Alibaba’sfinancial performance
Alibaba Group Holding Ltd (BABA US) - Adj Highlights
In Millions of USD FY 2010 FY 2011 FY 2012 FY 2013 FY 2014
12 Months Ending 03/31/2010 03/31/2011 03/31/2012 03/31/2013 03/31/2014
Market Capitalization — — — — —
- Cash & Equivalents — — 3,585.7 5,403.0 7,734.5
+ Preferred & Other — — 464.4 1,782.4 1,846.1
+ Total Debt — — 203.7 5,329.6 6,605.3
Enterprise Value — — — — —
Revenue, Adj 976.7 1,774.8 3,131.3 5,488.9 8,582.6
Growth %, YoY — 78.5 68.2 72.4 52.1
Gross Profit, Adj 737.5 1,253.4 2,106.5 3,943.4 6,397.2
Margin % 75.5 70.6 67.3 71.8 74.5
EBITDA, Adj — — 941.3 1,886.1 4,351.1
Margin % — — 30.1 34.4 50.7
Net Income, Adj 7.1 176.4 674.9 1,354.5 3,776.8
Margin % 0.7 9.9 21.6 24.7 44.0
EPS, Adj 0.00 0.07 0.27 0.58 1.64
Growth %, YoY — 2,292.0 272.5 115.8 184.5
Cash from Operations 437.7 881.8 1,450.3 2,302.0 4,312.1
Capital Expenditures — — -339.0 -398.0 -780.7
Free Cash Flow — — 1,111.3 1,904.0 3,531.3
Source: Bloomberg
Revenune CAGR 2010 - 2014 = 72.17% 6.267452286
= FV/PV^(1/n)
72.17153157
42
Appendix XXII
RetrievedfromBloombergterminal –Snapshotof SuperCom’srelative value topeersasof 04/01/15
Ticker Name P/B:20150401 P/E:20150401 P/S:20150401 CurrRatio:Y-1 Debt/Equity:Y-1 DvdYld:20150401 Debt/Assets:Y-1 EPS:Y-1
SPCB USEquity SUPERCOMLTD 3.8466 16.8307 3.4638 1.4896 17.3267 0 10.742 0.71
DORO SSEquity DOROAB 2.6168 27.5449 0.7104 1.3755 15.7491 (N/A) 6.0355 0.4032
EVS BBEquity EVSBROADCASTEQUIPMENTS.A. 5.9129 13.8664 3.6597 2.262 46.3248 (N/A) 24.3782 3.4939
NETIB SSEquity NETINSIGHTAB-B 2.2821 28.9091 3.1598 5.0045 0 0 0 0.0161
ROVI USEquity ROVICORP 1.4992 (N/A) 3.0512 1.0743 99.5465 0 45.4844 -0.76
300330CHEquity SHANGHAIHUAHONGJTSMARTS-A 6.9769 224.125 13.4916 2.7963 0 0.1115 0 0.0232
000586CHEquity SICHUANHUIYUANOPTICALCO-A 13.632 432.9446 6.0807 1.6529 21.5106 0 9.4275 0.0065
000801CHEquity SICHUANJIUZHOUELECTRIC-A 8.3162 100.2919 4.7461 1.4674 40.1797 (N/A) 18.4985 0.026
SPT LNEquity SPIRENTCOMMUNICATIONSPLC 1.8171 38.4194 1.7246 1.857 0 3.0152 0 0.0335
000892CHEquity STELLARMEGAUNIONCORPORAT-A 1466.4339 (N/A) (N/A) 28.2106 0 0 0 -0.0009
WIN CNEquity WI-LANINC 1.2344 26.5005 3.1496 3.5873 0 7.9233 0 0.08
Average 137.6880091 101.0480556 4.32375 4.616127273 21.87612727 1.38125 10.4151 0.3665
Difference -133.8414091 -84.21735556 -0.85995 -3.126527273 -4.549427273 -1.38125 0.3269 0.3435
43
Appendix XXIII
RetrievedfromBloombergterminal,2016 – Recentand expectedfuture revenuesforSuperCom
44
Appendix XXIV
RetreivedfromBloombergTerminal,2016 – ValuationmetricsforSuperCom
Ticker Name ROC:Y-1 ROE:Y-1 ROA:Y-1 FCF:Y-1 ROIC:Y-1 ROIC/WACCRatio
SPCB USEquity SUPERCOMLTD 55.3068 64.3287 36.9254 -670000 62.1008 0.98
WIN CNEquity WI-LANINC 3.8932 3.8932 2.9862 58207000 4.1883 0.453
000892 CHEquity STELLARMEGAUNIONCORPORAT-A -57.3397 -57.3397 -53.6924 -444318.9547 -56.6766 2.576
SPT LNEquity SPIRENTCOMMUNICATIONSPLC 4.6459 4.6239 3.3629 10100000 6.504 0.221
000801 CHEquity SICHUANJIUZHOUELECTRIC-A 4.4996 5.2247 2.3806 -2633973.851 2.8309 0.337
000586 CHEquity SICHUANHUIYUANOPTICALCO-A 4.0468 3.2926 1.3368 2824394.998 2.897 -0.214
300330 CHEquity SHANGHAIHUAHONGJTSMARTS-A 5.6053 5.6053 3.8361 -16016514.47 3.1659 -0.136
ROVI USEquity ROVICORP -8.0358 -5.7652 -2.716 161436992 -7.9137 0.141
NETIB SSEquity NETINSIGHTAB-B 8.0451 7.0146 19244067.42 8.1615 0.187
EVS BBEquity EVSBROADCASTEQUIPMENTS.A. 37.0624 50.2251 28.5859 23297696.24 34.1819 2.579
DORO SSEquity DOROAB 22.6999 18.7198 7.2677 16766824.92 27.3169 1.687
Average 7.23844 9.1685 3.3898 24737469.85 7.886991 0.801
DIFFERENCE 48.06836 55.1602 33.5356 -25407469.85 54.21381 0.179
45
Appendix XXV
RetrievedfromBloombergterminal,2016 – snapshotof Teslainrelationtopeers
Ticker Name P/B:20150401 P/S:20150401 CurrRatio:Y-1 Rev-1YrGr:Y-1 DvdYld:20150401
TSLA USEquity TESLAMOTORSINC 26.9283 6.6766 1.4686 58.8459 0
FCAU USEquity FIATCHRYSLERAUTOMOBILESNV 0.8617 0.1313 1.4379 8.0994 0
F USEquity FORDMOTORCO 2.5353 0.4373 0.6405 -1.9331 3.2998
GM USEquity GENERALMOTORSCO 1.6181 0.3841 1.2737 0.323 3.2662
Average 7.98585 1.907325 1.205175 16.3338 1.6415
Difference 18.94245 4.769275 0.263425 42.5121 -1.6415
46
Appendix XXVI
RetrievedfromBloombergterminal,2016 – Snapshotof Netflix inrelationtopeers
Ticker Name Rev- 1YrGr:Y-1 DvdYld:20150401
NFLX USEquity NETFLIXINC 25.8333 0
GOOGL USEquity ALPHABETINC-CLA 18.88 0
300431 CHEquity BEIJINGBAOFENGTECHNOLOGY-A 31.1892 0
2193 JPEquity COOKPADINC 31.9096 (N/A)
GRPN USEquity GROUPON INC 18.2024 0
P USEquity PANDORA MEDIA INC 44.3505 0
SINA USEquity SINA CORP 15.5066 0
TWTR USEquity TWITTERINC 111.0126 0
WBMD USEquity WEBMDHEALTHCORP 12.6445 0
O1BC GREquity XINGAG 19.0652 (N/A)
YHOO USEquity YAHOO!INC -1.33 0
Average 29.75126364 0
Difference -3.917963636 0
47
Appendix XXVII
RetrievedfromBloombergterminal –valuationmetricsforNetflix
Ticker Name ROC:Y-1 ROE:Y-1 ROA:Y-1 FCF:Y-1 ROIC:Y-1 ROIC/WACCRatio
NFLX USEquity NETFLIXINC 13.3337 16.7206 4.2842 -53243000 13.6417 0.442
YHOO USEquity YAHOO!INC 27.9518 29.0318 19.1606 503331008 3.1279 -1.568
O1BC GREquity XINGAG 11.9711 11.8763 5.6025 43076227.43 11.5809 3.671
WBMD USEquity WEBMDHEALTHCORP 5.2082 33.3187 3.3341 89958000 5.0971 1.209
TWTR USEquity TWITTERINC -13.2611 -17.5725 -12.9132 -119834000 -13.1204 -0.666
SINA USEquity SINACORP 2.4206 10.5965 5.3567 -1828000 -0.876 0.024
P USEquity PANDORAMEDIAINC -5.571 -4.2746 -9010000 -5.6012 -2.251
GRPN USEquity GROUPONINC -8.526 -9.9006 -3.4237 205264000 0.4365 -0.44
2193 JPEquity COOKPADINC 26.3519 21.8482 18860063.15 24.1934 2.273
300431 CHEquity BEIJINGBAOFENGTECHNOLOGY-A 16.8548 17.0838 12.0446 -2906100.423 13.9072 0.466
GOOGL USEquity ALPHABETINC-CLA 14.0993 14.789 11.7747 11416999936 12.8431 1.144
Average 7.7836 11.52040909 5.708554545 1099151649 5.930018182 0.391272727
DIFFERENCE 5.5501 5.200190909 -1.424354545 -1152394649 7.711681818 0.050727273
48
Appendix XXVIII
RetrievedfromBloombergterminal,2016 – Netflixvaluationmetrics
Ticker Name ROELF ROE:Y-1 NI/Profit-1YrGr:Q NI/Profit-1YrGr:Q-4 DilEPSFrmContOp1YGr:Y-1
NFLX USEquity NETFLIXINC 6.0101 16.7206 -48.2098 72.1794 103.887
GOOGL USEquity ALPHABETINC-CLA 14.1817 14.789 3.4896 40.9064 0.3739
300431 CHEquity BEIJINGBAOFENGTECHNOLOGY-A 15.7782 17.0838
2193 JPEquity COOKPADINC 28.1902 26.3519 242.5908 1.2496 15.2901
GRPN USEquity GROUPONINC 3.3546 -9.9006 37.0449
P USEquity PANDORAMEDIAINC -25.5755 -5.571 36.7718 34.7826
SINA USEquity SINACORP 1.0901 10.5965 -75.6439 34.4229 262.5154
TWTR USEquity TWITTERINC -13.0348 -17.5725 28.0139 75.4919 71.8475
WBMD USEquity WEBMDHEALTHCORP 58.787 33.3187 68.7208 50.5364 146.4494
O1BC GREquity XINGAG 33.947 11.8763 36.185
YHOO USEquity YAHOO!INC -12.8614 29.0318 -52.2261 3.0365
49
Appendix XXIX
RetrievedfromBloombergTerminal,2016 – valuationmetricsforDisney
Ticker Name ROC:Y-1 ROE:Y-1 ROA:Y-1 FCF:Y-1 ROIC:Y-1 ROIC/WACCRatio
DIS USEquity WALTDISNEYCO/THE 13.0674 16.5975 9.0711 6469000192 11.6345 1.476
CBS USEquity CBSCORP-CLASSBNONVOTING 20.9571 34.9433 11.7603 1069000000 12.2696 1.299
DISCA USEquity DISCOVERYCOMMUNICATIONS-A 10.3121 12.871 7.3605 1198000000 9.7795 1.114
TWX USEquity TIMEWARNERINC 10.2242 14.075 5.8363 3207000064 10.0291 1.696
FOXA USEquity TWENTY-FIRSTCENTURYFOX-A 14.1548 26.232 8.5382 2286000128 10.5343 1.401
VIAB USEquity VIACOMINC-CLASSB 17.0565 53.658 10.2014 2473999872 16.9805 2.003
Average 14.29535 26.39613333 8.794633333 2783833376 11.87125 1.498166667
DIFFERENCE -1.22795 -9.798633333 0.276466667 3685166816 -0.23675 -0.022166667
50
Appendix XXX
RetrievedfromBloomberg Terminal,2016 – DisneyRV topeers
Ticker Name SharesOut:Y-1 EPS:Y-1 Rev-1YrGr:Y-1 NIMrgnAdj:Y-1
DIS USEquity WALTDISNEYCO/THE 1700000000 4.31 8.3746 15.6024
CBS USEquity CBSCORP-CLASSBNONVOTING 507000000 5.38 -1.4209 12.0267
DISCA USEquity DISCOVERYCOMMUNICATIONS-A 439252256 1.67 13.1888 19.2075
TWX USEquity TIMEWARNERINC 832000000 4.433 3.3937 16.376
FOXA USEquity TWENTY-FIRSTCENTURYFOX-A 2206827008 1.99 15.1472 11.049
VIAB USEquity VIACOMINC-CLASSB 414200000 5.53 -0.0797 17.2386
Average 1016546544 3.8855 6.43395 15.25003333
Difference 683453456 0.4245 1.94065 0.352366667
51
Appendix XXXI
RetrievedfromBloombergTerminal,2016 – ValuationmetricsforIMAX
Ticker Name ROC:Y-1 ROE:Y-1 ROA:Y-1 FCF:Y-1 ROIC:Y-1 ROIC/WACCRatio
IMAX USEquity IMAXCORP 11.4144 11.315 7.2072 46501000 12.2988 0.83
6727 JPEquity WACOMCOLTD 16.6164 16.9285 10.3953 -11740671.22 16.3864 0.818
3673 TTEquity TPKHOLDINGCOLTD 1.6866 0.6199 0.1822 390300760.2 0.1171 -2.529
000100 CHEquity TCLCORP-A 9.6844 19.6721 3.724 -544050922.2 3.6275 0.241
002456 CHEquity SHENZHENO-FILMTECHCO-A 14.1798 25.0343 7.9915 -217739432.7 12.7598 0.607
002106 CHEquity SHENZHENLAIBAOHI-TECHCO-A 1.9308 2.0264 1.6519 -95907616.79 0.6394 -0.638
7915 JPEquity NISSHAPRINTINGCOLTD 5.8406 8.2503 3.5884 -14927992.72 2.5939 1.31
300162 CHEquity LEDMANOPTOELECTRONICCO-A 3.9921 3.4753 2.8841 4091582.286 1.8391 0.058
6456 TTEquity GENERALINTERFACESOLUTION 9.5155 20.5484 3.2575 54858706.9 8.2779 0.855
300282 CHEquity BEIJINGIRTOUCHSYSTEMSCO-A -3.0302 -3.062 -2.7598 -8559868.553 -5.8684 0.094
BAR BBEquity BARCON.V. 10.4903 10.264 5.7998 106202703.5 10.2618 2.374
Average 7.4837 10.46110909 3.992918182 -26451977.39 5.721209091 0.365454545
DIFFERENCE 3.9307 0.853890909 3.214281818 72952977.39 6.577590909 0.464545455
52
Appendix XXXII
RetrievedfromBloombergTerminal,2016 – RV of IMAXto peers
Ticker Name P/B:20150401P/E:20150401P/S:20150401EPS:Y-1 Rev-1YrGr:Y-1NIMrgnAdj:Y-1CAPEX:Y-1 WorkCap:Y-1CurrRatio:Y-1Debt/Equity:Y-1DvdYld:20150401CshDvdCov:Y-1SharesOut:Y-1
IMAX USEquity IMAXCORP 5.916 55.5592 7.559 0.58 0.9044 14.4448 -40104000 203983008 2.9193 1.1039 0 0 68988048
BAR BBEquity BARCON.V. 1.228 41.2806 0.8062 2.6038 -9.9287 -101266688 307766343.7 1.5518 9.5976(N/A) 2.7766 12989000
300282CHEquity BEIJINGIRTOUCHSYSTEMSCO-A 2.958 261.0833 3.5616 -0.0103 -14.2952 -6481131.756 30411972.21 5.59 0.4711 0.0511(N/A) 136432920
6456 TTEquity GENERALINTERFACESOLUTION (N/A) 0.1587 -5.4347 -207489083.4 -19157152.15 0.974 173.1158(N/A) (N/A) 286040992
300162CHEquity LEDMANOPTOELECTRONICCO-A 11.041 321.2502 20.5034 0.0123 15.4681 -7360318.921 68879705.3 4.1826 5.737 0.1623 1.9232 335000000
7915 JPEquity NISSHAPRINTINGCOLTD 1.4276 8.4187 0.797 0.9232 24.0364 3.4767-158845815.5 31716308.78 1.0729 37.172(N/A) 18.5374 42914000
002106CHEquity SHENZHENLAIBAOHI-TECHCO-A 2.9052(N/A) 4.8394 0.0163 65.446 3.1894-163331740.4 363169560.4 3.4045 9.8793(N/A) 0.9424 705816192
002456CHEquity SHENZHENO-FILMTECHCO-A 4.773 39.334 1.2066 0.1017 131.928 -297627728.1 32695514.56 1.0353 109.2249(N/A) 6.6404 930160000
000100CHEquity TCLCORP-A 3.2783 19.0649 0.5922 0.0565 18.5101 -1248719637 1208882806 1.1564 120.3414(N/A) 3.2608 9452412928
3673 TTEquity TPKHOLDINGCOLTD 1.5893(N/A) 0.5294 0.0277 -18.5774 -121692912 -653343165.7 0.7832 159.2592(N/A) 1.6706 331295008
6727 JPEquity WACOMCOLTD 2.8884 28.1265 1.3107 0.3126 28.7339 6.6881-19068278.58 231239984.7 2.4677 1.8293(N/A) 1.8017 166468400
Average 3.80048 96.764675 4.170550.434772727 21.52644545 6.94975-215635212.1 164204080.5 2.285245455 57.0665 0.071133333 4.172566667 1133501590
Difference 2.11552 -41.205475 3.388450.145227273 -20.62204545 7.49505 175531212.1 39778927.46 0.634054545 -55.9626 -0.071133333 -4.172566667 -1064513542
53
Appendix XXXIII
RetrievedfromBloombergTerminal,2016 – breakupof rateddebtfor RiverRockEntertainment
Authority
54
Appendix XXXIV
RetrievedfromBloombergterminal,2016 – RV of bonds
Column1
Total Debt to
Total Equity
Interest
Coverage Ratio
Net
Income - 1
Yr Growth ROA
WACC
Cost of
Debt
Coup
on
Bon
d
Opti
ons
TOT_DEBT_T
O_TOT_EQY
INTEREST_COVE
RAGE_RATIO
NET_INC_
GROWTH
RETURN_O
N_ASSET
WACC_CO
ST_DEBT CPN
Non
e
Tesla
Motors Inc.
ED1552584
@TRAC
Corp 287.4410695 -2.937603946
-
209.60040
16
-
7.5028529
89
2.1851399
65 1.25
Non
e
Sears
Roebuck
Acceptance
Corp.
EJ9492061
@TRAC
Corp #N/A N/A #N/A N/A #N/A N/A
-
2.0200410
38
1.9124569
26 6.5
Non
e
Toys R Us
ED1552584
@TRAC
Corp #N/A N/A -0.842592593
-
76.576576
58
-
14.221547
42 #N/A N/A 7.375
Non
e
Alcatel-
Lucent USA
Inc.
DD1151818 194.8580968 -0.197530864
1.3698630
14
-
0.5208565
2
0.7344122
36 6.5
Non
e
Rite Aid
Corp.
DD1089216 9893.688657 1.528190029
-
53.775289
42
2.8966117
44
3.9854196
79 7.7
Non
e
Riverrock
Entertainm
ent
EI850976@
TRAC Corp 2959.03616 2.232136573
8.5403417
98
11.853685
02 0.9976 9
Call
able
55
Appendix XXXV
RetrievedfromBloombergterminal,2016 – DES page showingamountof sharesoutstandingforRiver
Rock Entertainment9%bondmaturing2028
56
Appendix XXXVI
RetrievedfromBloombergTerminal,2016 – RV of TeslaBond
Column1 Rating(S&P) InterestCoverageRatio CapitalizationRatio Coupon
RTG_SP_LT_LC_ISSUER_CREDITINTEREST_COVERAGE_RATIO CAPITALIZATION_RATIO CPN
TeslaMotorsInc.ED1552584@TRACCorp B-u -2.937603946 68.33787076 1.25
SearsRoebuckAcceptanceCorp.EJ9492061@TRACCorpCCC+ #N/AN/A #N/AN/A 6.5
ToysRUsED1552584@TRACCorp B- -0.842592593 117.1710225 7.375
Alcatel-LucentUSAInc.DD1151818 BB+ -0.197530864 63.38183152 6.5
RiteAidCorp.DD1089216 B *+ 1.528190029 157.7215931 7.7
RiverrockEntertainmentEI850976@TRACCorp NR 2.232136573 0 9
57
Appendix XXXVII
RetrievedfromBloombergTerminal,2016 – SearsBondunderlyingmetrics
SearsHoldingsCorp(SHLDUS)-Standardized
InMillionsofGBP exceptPerShare FY2006 FY2007 FY2008 FY2009 FY2010 FY2011 FY2012 FY2013 FY2014 FY2015 FY2016 Last12M
12MonthsEnding 01/28/2006 02/03/2007 02/02/2008 01/31/2009 01/30/201001/29/201101/28/201202/02/201302/01/201401/31/201501/30/201601/30/2016
Cashfrom InvestingActivities CF_CASH_FROM_INV_ACT351.12 -354.58 -218.29 -357.65 -109.20 -263.43 -193.00 120.23 423.56 200.10 1,655.68 1,655.68
Growth(YoY) CF_CASH_FROM_INV_ACT94.15 — 38.71 -63.84 69.47 -141.24 26.74 — 252.30 -52.76 727.44 727.44
NI Mrgn Adj:Y-1 CAPEX:Y-1 Work Cap:Y-1 Curr Ratio:Y-1 Debt/Equity:Y-1
-3.5515 -270000000 268000000 1.0479
-0.4343 -77336000 406124000 1.9423 1034.5107
4.8384 -151888000 1087798016 2.3587 40.6852
-5.7681 -252000000 2175000064 2.0088 276.0188
4.5576 -682000000 2720999936 1.9517 79.2522
5.6702 -770000000 3504999936 1.6906 135.9055
2.3101 -70580000 299279008 2.4615 9.9569
58
Appendix XXXVIII
RetrievedfromBloombergterminal,2016 – underlyingToysRUs metrics
Toys R Us Inc (TOYS US) - Standardized
In Millionsof GBP except Per Share FY2010 FY2011 FY2012 FY2013 FY2014 FY2015 FY2016
12 MonthsEnding 01/30/201001/29/201101/28/201202/02/201302/01/201401/31/201501/30/2016
Current Ratio CUR_RATIO1.22 1.17 1.26 1.44 1.28 1.13 1.18
Total Current Assets BS_CUR_ASSET_REPORT2,113.41 2,287.30 2,187.50 2,442.47 1,956.38 2,099.87 2,311.75
Total Current Liabilities BS_CUR_LIAB1,726.83 1,950.27 1,736.89 1,698.03 1,528.65 1,863.52 1,967.24
Workingcapital 386.59 337.04 450.61 744.44 427.73 236.35 344.51
Cash from Operations CF_CASH_FROM_OPER152,150.8 33,272.2 49,947.0 85,063.8 22,973.7 79,595.2 47,290.7 47,290.7
Capital Expenditures CAPITAL_EXPEND-28,809.6 -49,152.0 -59,498.0 -45,304.0 -37,970.4 -34,613.9 -43,515.3 -43,524.6
Free Cash Flow CF_FREE_CASH_FLOW123,341.2 -15,879.9 -9,551.0 39,759.8 -14,996.7 44,981.3 3,775.3 3,775.3
59
Appendix XXXIX
RetrievedfromBloombergterminal –Alcatel underlyingmetrics
Ticker Name ROC:Y-1 ROE:Y-1 ROA:Y-1 FCF:Y-1 ROIC:Y-1 ROIC/WACCRatio
ALU FPEquity ALCATEL-LUCENTSA 1.5687 -4.9228 -0.5443 -524752809.1 2.7892 0.521
ANET USEquity ARISTANETWORKSINC 22.1305 21.9605 14.7761 101382000 22.0136 1.281
CSCO USEquity CISCOSYSTEMSINC 10.8723 13.5661 7.6146 11057000448 9.9908 1.262
300050 CHEquity DINGLICOMMUNICATIONSCORP-A 2.508 2.602 2.2462 13470663.07 -0.5029 0.149
FFIV USEquity F5NETWORKSINC 21.4017 14.095 526273984 21.2156 3.046
GIMO USEquity GIGAMONINC -34.0841 -34.152 -20.7317 3481000 -36.8531 0.27
IDCC USEquity INTERDIGITALINC 15.6036 20.9317 9.0427 234918000 15.4312 1.53
JNPR USEquity JUNIPERNETWORKSINC -3.9921 -5.4708 -3.5932 570499968 -7.5586 1.105
300353 CHEquity KYLANDTECHNOLOGYCOLTD-A 8.5461 8.5567 7.6362 -7407373.013 5.2557 0.223
900930 CHEquity SHANGHAIPOTEVIOCOLTD-B 1.9148 1.1528 0.6046 -57770198.05 0.1228 0.014
600076 CHEquity WEIFANGBEIDAJADEBIRD-A 46.4853 10.939 -5870889.921 -0.689
Ticker Name Rev-1YrGr:Y-1 NIMrgnAdj:Y-1 CAPEX:Y-1 WorkCap:Y-1 CurrRatio:Y-1 Debt/Equity:Y-1
ALU FPEquity ALCATEL-LUCENTSA -4.5971 1.9794 -738639397.1 4134570053 1.4449 195.8797
ANET USEquity ARISTANETWORKSINC 61.7019 14.4238 -13134000 535105984 4.7064 8.5439
CSCO USEquity CISCOSYSTEMSINC -3.014 18.4794 -1275000064 47304998912 3.3881 36.789
300050 CHEquity DINGLICOMMUNICATIONSCORP-A 27.2049 -5342716.264 187655811.6 3.9824 3.478
FFIV USEquity F5NETWORKSINC 16.9263 17.9662 -22718000 361867008 1.5681 0
GIMO USEquity GIGAMONINC 11.9997 -25.9594 -7614000 122697000 2.8201 0
IDCC USEquity INTERDIGITALINC 27.803 25.093 -7095000 638009984 4.1097 45.7947
JNPR USEquity JUNIPERNETWORKSINC -0.8995 8.9875 -192900000 1297200000 1.8571 27.4237
300353 CHEquity KYLANDTECHNOLOGYCOLTD-A 6.2488 -16016665.42 44328194.27 7.0799 0
900930 CHEquity SHANGHAIPOTEVIOCOLTD-B 36.3923 -9054126.578 39343812.63 1.2038 60.6673
600076 CHEquity WEIFANGBEIDAJADEBIRD-A 7.4575 -178851.2011 43497452.11 2.0932 20.9584
60
Appendix XXXX
RetrievedfromBloombergterminal,2016 – Right aidunderlyingmetrics
Ticker Name ROC:Y-1 ROE:Y-1 ROA:Y-1 FCF:Y-1 ROIC:Y-1 ROIC/WACCRatio
RAD USEquity RITEAIDCORP 18.6065 3.5571 3.68E+08 20.2995 -0.399
FRAGUABMMEquity CORPORATIVOFRAGUASABDECV 14.3194 12.8399 6.987 -5394430 13.5114 1.561
CVS USEquity CVSHEALTHCORP 9.8168 12.1877 6.3742 6E+09 9.6637 1.41
PJC/A CNEquity JEANCOUTUGROUPINC-CLASSA 42.3675 42.7823 34.1767 2.42E+08 24.7633 1.981
WBA USEquity WALGREENSBOOTSALLIANCEINC 9.668 5.3127 2.79E+09 8.1666 1.187
61
Appendix XXXXI
RetrievedfromBloombergterminal,2016 – CAPMassetallocation(see worksheetformore detail)
Name of
equity CAPM Beta
Risk
Free
Rate
Expec
ted
Mark
et
Retur
n
Mark
et
Risk
Premi
um
weigh
t
Amount
Allocated
Annualize
d Holding
Period
Return
Amazon
.com INC. -
(AMZN) 10.55% 1.147
1.84
% 9.43% 7.59%
14.16
%
$2,494,99
4.61
$2,758,19
9.52
Tesla
Motors Inc.
- (TSLA) 11.22% 1.235
1.84
% 9.43% 7.59%
15.06
%
$2,654,27
9.70
$2,952,02
5.91
Netflix,Inc.
- (NFLX) 12.44% 1.396
1.84
% 9.43% 7.59%
16.70
%
$2,942,20
8.40
$3,308,22
5.72
Walt
DisneyCo.
- (DIS) 10.22% 1.103
1.84
% 9.43% 7.59%
13.71
%
$2,415,96
8.88
$2,662,76
4.50
IMAX Corp.
(USA) -
(IMAX) 7.27% 0.715
1.84
% 9.43% 7.59% 9.75%
$1,719,10
5.66
$1,844,06
2.46
SuperCom
Ltd. -
(SPCB) 0.46% -0.181
1.84
% 9.43% 7.59% 0.62%
$109,854.
50
$110,364.
76
Total
Expected
Return
From
Equity = 7.37%
70.00
%
$12,336,4
11.75
$13,635,6
42.87
Name of
Bond
Mid YTM @
March 31st,
2015 Beta
Risk
Free
Rate
Expec
ted
Mark
et
Retur
n
Mark
et
Risk
Premi
um
weigh
t
Amount
Allocated
Annualize
d Holding
Period
Return
Riverrock
Entertainm
ent(River9
11/01/18) 1678.61% 1.558
1.84
% 9.43% 7.59% 6.00%
$1,057,39
2.00
$18,806,9
01.00
Tesla
Motors Inc.
(TSLA 1 ¼
03/01/21) 4.46% 0.959
1.84
% 9.43% 7.59% 6.00%
$1,057,39
2.00
$1,104,57
2.83
62
Sears
Roebuck
Acceptance
Corp.
(SHLD 6 ½
12/01/28
Corp) 12.12% 0.432
1.84
% 9.43% 7.59% 4.00%
$704,928.
00
$790,337.
08
Toys R Us
(TOY7 ⅜
10/15/18
Corp) 20.97% 0.547
1.84
% 9.43% 7.59% 4.00%
$704,928.
00
$852,737.
30
Alcatel-
LucentUSA
Inc. (ALUFP
6 ½
01/15/28
Corp) 6.50% -0.014
1.84
% 9.43% 7.59% 5.00%
$881,160.
00
$938,435.
40
Rite Aid
Corp.(RAD
7.7
02/15/27
Corp) 5.71% 0.191
1.84
% 9.43% 7.59% 5.00%
$881,160.
00
$931,438.
99
Total
Expected
Return
From
Bonds= 102.92% 30%
$5,286,96
0.00
$23,424,4
22.60
Portfolio
Metrics=
110.2903770356
98000%
1.00031
5108
100.0
0%
$37,060,0
65.47
Expected
Monthly
Return
From
Portfolio= 6.39%
63
Appendix XXXXII
RetrievedfromBloombergterminal,2016 – portfoliovariance
User Name
Portfolio
As-of Date
Currency
Risk Model
Horizon
Confidence Level
Reporting Units
SD (Sqrt of VaR) VaR (MC) CVaR (MC) MKT VAL Pos %Wgt
Portfolio 4.195235393 17.60 23.65 38,176.89 100.00
Bonds 1.664331698 2.77 3.71 10,500.31 27.50
ALUFP 6 ½ 01/15/28 1.272792206 1.62 2.20 5,112.36 5,000.00 13.39
RIVER 9 11/01/18 0 180.26 6,000.00 0.47
SHLD 6 ½ 12/01/28 1.019803903 1.04 1.41 2,361.67 4,000.00 6.19
TOY 7 ⅜ 10/15/18 1.109053651 1.23 1.64 2,846.03 4,000.00 7.45
Consumer Discretionary 4.159326869 17.30 23.03 21,790.83 57.08
AMAZON.COM INC 2.387467277 5.70 7.60 5,242.81 14.16 13.73
IMAX CORP 0.574456265 0.33 0.45 326.92 9.75 0.86
NETFLIX INC 3.264965543 10.66 14.28 6,899.10 16.70 18.07
TESLA MOTORS INC 2.114237451 4.47 5.93 2,825.11 15.06 7.40
TSLA 1 ¼ 03/01/21 1.766352173 3.12 4.32 5,051.31 6,000.00 13.23
WALT DISNEY CO/THE 0.979795897 0.96 1.27 1,445.58 13.71 3.79
Consumer Staples 1.526433752 2.33 3.19 5,880.44 15.40
RAD 7.7 02/15/27 1.526433752 2.33 3.19 5,880.44 5,000.00 15.40
Information Technology 0.141421356 0.02 0.02 5.30 0.01
SUPERCOM LTD 0.141421356 0.02 0.02 5.30 0.62 0.01
Returns (%)
Detail
The BLOOM BERG PROFESSIONAL service, BLOOM BERG Data and BLOOM BERG Order M anagement Systems (the 'Services') are owned and distributed locally by Bloomberg Finance
L.P. ('BFLP') and its subsidiaries in all jurisdictions other than Argentina, Bermuda, China, India, Japan and Korea (the 'BLP Countries'). BFLP is a wholly-owned subsidiary of Bloomberg L.P.
PORT VaR Report: VaR
Summary
W330135 W330135
IMAX AND SPCB
4/1/2015
USD
Bloomberg Risk Model (Regional)
1 year (252 days) (Scaled 1D)
0.95
64
Appendix XXXXIII
RetrievedfromBloombergterminal –descriptionof riverrockentertainmentbond
River 9 (11/01/18) Bond Rating: NR
Pricing Source: TRAC ID : EI850976 Corp
Holding Period Date PX_LAST (USD)
Week 4 01/05/2015 9.500
24/04/2015 5.621
Percentage Change 69.009%
Week 3 24/04/2015 5.621
17/04/2015 7
Percentage Change -19.700%
Week 2 17/04/2015 7.000
10/04/2015 7.725
Percentage Change -9.385%
Week 1 10/04/2015 7.725
03/04/2015 3.5
Percentage Change 120.714286%
Monthly Return
(P1-P0)/P0 171.43%
Annualilzed
(P1-P0)/P0*12 2057.1429%
Risk Measures
duration Not Reported
convexity Not Reported
65
Appendix XXXXIV
RetrievedfromBloombergterminal –Netflixweeklyperformance
Netflix US Equity Ticker: NFLX
Holding Period Date Price £(GBP)
Week 4 01/05/2015 79.576
24/04/2015 79.771
Percentage Change -0.24%
Week 3 24/04/2015 79.771
17/04/2015 81.65
Percentage Change -2.30%
Week 2 17/04/2015 81.65
10/04/2015 64.939
Percentage Change 25.73%
Week 1 10/04/2015 64.939
03/04/2015 59.154
Percentage Change 9.78%
Monthly Return
(P1-P0)/P0 34.52%
Annualized
(P1-P0)/P0*12 414%
Risk Measurements
E(R) (CAPM- Annualized*) 12.44%
VAR (04/01/15 - 05/01/15) 0.016383106
STDEV (04/01/15 - 05/01/15) 0.127996509
*Refer to CAPMAsset Allocation Worksheet for Equation and Inputs
66
Appendix XXXXV
RetrievedfromBloombergterminal –Amazonweeklyperformance
Amazon US Equity Ticker: AMZN
Holding Period Date PX_LAST (USD)
Week 4 01/05/2015 422.87
24/04/2015 445.1
Percentage Change -4.99%
Week 3 24/04/2015 445.1
17/04/2015 375.56
Percentage Change 18.52%
Week 2 17/04/2015 375.56
10/04/2015 382.65
Percentage Change -1.85%
Week 1 10/04/2015 382.65
03/04/2015 372.25
Percentage Change 2.79%
Monthly Return
(P1-P0)/P0 13.60%
Annualized
(P1-P0)/P0*12 163.18%
Risk Measurements
E(R) (CAPM- Annualized*) 10.55%
VAR (04/01/15 - 05/01/15) 0.010891453
STDEV (04/01/15 - 05/01/15) 0.104362125
67
Appendix XXXXVI
RetrievedfromBloombergterminal,2016 –calculatedinexcel (Alphaandtrackingerror)
Alpha = Rp - [Rf + (Rm - Rf)*B] 23.17686
Where :
Rp = Realized return of portfolio
Rm = Market return 18.88
Rf = Risk-free rate
B = Beta
Rf = 1.84 (See CAPM Asset Allocation worksheet)
Monthly Rf = 1.84^(1/12)-1
0.052126967
Monthly Rm = 2.0925 (See graph on left)
Rp = 25.27 (See portfolio summary)
Beta = 1.000315108 (See CAPM Asset Allocation worksheet)
Expected monthly return of portfolio = 6.39%
Simple Tracking Error = X-Y
Where: 23.18
X = return of portfolio 4.724757
Y = Return of benchmark
Advanced Tracking Error = SQRT(Σ(XI-YI)^2/(N-1)
Where:
N = number of periods
X = return of portfolio
Y = Return of benchmark
*calculated using 4 weekly periods and using
weekly returns of benchmark and portfolio
Excess return of portfolio when compared to
expected return =
Tracking Error using Stdev* =
Tracking Error using returns =
Alpha of portfolio =
Actual Weekly returns Portfolio S&P500
4.97% 1.71%
6% -1%
2.50% 1.70%
6.40% -0.04%
Covariance of Portfolio and S&P500 = 0.0002-
STDEV = 0.017518 0.013431
Correlation Coefficient = -0.74808

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Investment Analysis Project 1

  • 1. U.K. Value Growth Trans-Atlantic Hedge Fund The U.K.’s leading hedge fund in Trans-Atlantic Fixed-Income/Equity investing
  • 2. 1 Table of Contents Executive Summary……………………………………………………………………………………………………………….P.3 Part One……………………………………………………………………………………………………………………………….P.3 Sectors…………………………………………………………………………………………………………………….P.3-4 ConsumerDiscretionary…………………………………………………………………………………P.3 Technology…………………………………………………………………………………………………….P.3 Communications…………………………………………………………………………………………….P.4 Equities………………………………………………………………………………………………………………….P.5-10 Amazon……………………………………………………………………………………………………… SuperComLtd………………………………………………………………………………………………… Tesla………………………………………………………………………………………………… Netflix………………………………………………………………………………………………… Disney………………………………………………………………………………………………… IMAX………………………………………………………………………………………………… FixedIncome………………………………………………………………………………………………………… River9 (11/01/18)………………………………………………………………………… TSLA 1.25 (03/01/21)…………………………………………………………………………. SHLD 6.5 (12/01/28)……………………………………………………………………………. RAD 7.7 (02/15/27)………………………………………………………………………………… ALUFP 6.5 (01/15/28)……………………………………………………………………………….. TOY 7.375 (10/15/18)……………………………………………………………………………. AssetAllocation…………………………………………………………………………………………………….. SelectedBenchmark……………………………………………………………………………………………….
  • 3. 2 Table of Contents Part Two………………………………………………………………………………………………………………………….. WeeklyAnalysis of PortfolioPerformance……………………………………………………………. Part Three…………………………………………………………………………………………………………………….. S&P500 & Jensen’sAlpha…………………………………………………………………………………………… Part Four………………………………………………………………………………………………………………………….. Benchmark Tracking……………………………………………………………………………………………………
  • 4. 3 Executive summary As determined by The National Bureau of Economic Research (2010) the economy is currently in an expansionary period of the business cycle coming out of the recession which ended June of 2009. Based on findings from appendix I through VI I believe that the economy is expanding, albeit cautiously, presenting an investment opportunity where cyclical stocks and high yield bonds will do well due to easy access to capital, and low interest rates and inflation. As a result, there will be a focus on securities within the three sectors which are expected to benefit most from an expanding economy, and current societal trends: consumer discretionary, technology, and communications. The asset allocation for this portfolio was based on the CAPM, and used SD and Beta for measuring risk. The S&P500 was used as the benchmark index; however, there was a large disparity in the returns of the benchmark and portfolio of 23.18.
  • 5. 4 Part One Sectors Consumer Discretionary Consumer discretionary appears to be an excellent sector to invest in considering its YTD performance in relation to other sectors of 3.91% (Appendix VIII). Going forward it is expected to continue to outperform, with low oil prices (Appendix IV) and rising income and consumption (Appendix III). These, paired with lower unemployment (Appendix I), increasing consumer confidence (Appendix VI), and an expanding U.S. economy are the driving factors for favoring consumer discretionary. Technology Technology was chosen because of its fast-growing and cyclical nature. As such, we expect this sector to benefit from the effects of an expanding economy, and societal trends of becoming ever-more dependent on technology. High consumer discretionary growth is expected to spill over into technology as retailers are pressed with the challenge of attracting the multi- channeled consumer. Another advantage, and potentially disadvantage with the current US economy, is technology’s ability to easily reap the rewards of globalization. For a fraction of the cost tech companies are able to attract large revenues from foreign markets, but are in danger of increased costs due to the strong USD. Communications Communications is growing fast as a result of disruptive technology in areas like filmand entertainment, and internet media. Major players are adapting to the integration of technology
  • 6. 5 as opposed to falling behind as a result of its disruption. The sector boasted a relatively good YTD performance of 1.09% (Appendix VIII), while macroeconomic trends (Appendix III; Appendix VI; Appendix I), support growth expectations. The communications sector has had a divergence in share prices and earnings (Appendix X), leading me to believe the sector as a whole is undervalued. This belief is supported by the distortion between a P/E decrease of 48bp, in contrast to the S&P 500’s 45bp increase (Appendix XII), despite the communications sector share prices outpacing S&P500 growth by more than 2500% (Appendix XIII).
  • 7. 6 Equities Amazon Record low oil prices (Appendix IX) allow Amazon to drastically reduce prices and increase convenience for consumers. With the transformation from bookstore to superstore, introduction of Amazon prime in 2005, a video streaming service in 2012 (Mangalindan, 2012), and talk of drone delivery systems (Guarini, 2014), Amazon has proven its ability to continuously innovate and reinvent itself; making it a trustworthy investment. Amazon’s retention ratio and D/E show there is no lack of growth prospects or reinvestment (Appendix XIX), while their D/A and free cash flow alleviates any worry of over- leveraging (Appendix XIX). Amazon has seen consistent, and large, revenue increases over the last 4 years (Appendix XX), in comparison to EBay who had revenues decline sharply (Appendix XXI). Although Amazon’s revenue growth is not as high as Alibaba’s (Appendix XXII), Amazon’s revenues are more than 10 times larger, making their growth rates 10 times more impressive (Appendix XX). Lastly, Amazon appears to be overvalued on P/E basis, but their price to sales is actually below the average of their peers (Appendix XIX); hinting that they are slightly undervalued on a sales basis and their P/E ratio is a testament to their financial solidity and expected future cash flows. SuperCom LTD. I expect high consumer discretionary growth to benefit SuperCom, as their products are used in consumer discretionary as well as other industries which have seen positive growth. For example transportation and industrials, which have both seen growth of close to 8% (Appendix XIV) since the same time last year and traditionally do well in an expanding economy.
  • 8. 7 SuperCom pays no dividends allowing it to reinvest all of its profits back into the business (Appendix XXIII). The company is below the average of its peers for P/E, P/B, and P/S valuation ratios (Appendix XXIII), despite revenues showing a significant increase in the past year, strong expected future revenues (Appendix XXIV), and a good EPS (Appendix XXIII). The biggest indicator of SuperCom’s undervaluation is that their ROC, ROE, ROA, and ROIC are all significantly higher than its peers (Appendix XXV). I believe that the stock price will raise to bring these ratios closer to the peer average as the company has low D/E and D/A, and a good current ratio removing most fears surrounding the company’s efficiency or capital structure (Appendix XXIII). Tesla Tesla’s share price is based mostly on expectations for the future, and is driven by sentiment, news, and CEO Elon Musk, but shows great potential for revolutionizing the market. Rachel Layne and Dana Hull (2015) wrote in March that analyst Andrea James from Dougherty & Co. says Tesla is quietly signing industrial customers and has the potential to add $50-$70 to the share price with the grid storage opportunity. Further, the article stated that Tesla has won 80% market share of non-residential grid-storage applications in California, and that if California keeps on pace with projections in the next two years and Tesla retains market share, revenues could increase to $2B (Layne and Hull, 2015). On top of promising news surrounding Tesla’s emerging power storage opportunities, “Tesla's March China sales are up 130%-150% month- over-month,” (Layne and Hull, 2015), and Musk intends to further Tesla’s presence in China by adding more charging stations and redesigning the cars to better appeal to the Chinese tastes (Bloomberg News, 2015). Revenue for Tesla increased by 58% in 2014, and they have a strong
  • 9. 8 current ratio (Appendix XXVI). Tesla has a good P/B and P/S ratio (Appendix XXVI) displaying the earning power of the assets on Tesla’s books, and the high expected value of future cash flows. Netflix Netflix is gaining in popularity among consumers, and is expanding to multiple countries in order to continue its growth at the same pace it has in the U.S market (Cohen, 2015). Consumers have a “content-on-demand” attitude, and this is only going to grow as Netflix enters more markets; gaining a first to market advantage (Knight and Lynch, 2015). Netflix pays no dividend, and so reinvests its earnings back into the company (Appendix XXVII). Last year revenue for Netflix increased by 25.83% (Appendix XXVII), net income increased by 72% (Appendix XXVIV) and Diluted EPS increased by 107.36% (Appendix XXVIV). Netflix sports ROC, ROE, and ROIC ratios that are much higher than the average of its peers (Appendix XXVIII). Further, Netflix has solid financial ratios in comparison to peers like their current ratio and D/E ratio (Appendix XXVII) which shows they have room to take on more debt to finance their expansion into other markets. Disney Disney has been releasing/announced films which/are expected to top the box office like American Sniper and Star Wars VII and has been able to create additional revenues from these films through merchandise and theme park attractions (Palmeri, 2015; Sakoui and Bit, 2015). These releases allowed Disney to beat expected 1Q 2015 EPS and revenue, and provided further ammunition to do so again in the coming quarters (Freund, 2015). With rising consumer spending, incomes (Appendix III), and confidence (Appendix VI) I expect sales of movies and merchandise, as well as attendance at theme parks to continue to rise in the coming quarter.
  • 10. 9 Although Disney does pay dividends, their coverage ratio is high enough to give me assurance of good future prospects for the company. Disney is in a good position fundamentally with a good ROIC and ROIC/WACC ratio, as well as an abundance of free cash flow which will allow them to fund further projects (Appendix XXX). Disney also has a good EPS in relation to peers considering they have more than 1.25 times the average amount of shares outstanding, and a strong net profit margin and revenue growth over the past year (Appendix XXXI). IMAX IMAX has a very close relationship with Disney, and I expect them to feed off of their success from films like Star Wars VII (Buckles, T. et al., 2015). IMAX has good future prospects with sequels like Frozen 2 and Furious 7, and HBO partnerships for Game of Thrones (Buckles, T. et al., 2015). Also, IMAX is projecting a 28% adj. EBITDA growth rate as their cost base is mostly fixed (Buckles, T. et al., 2015). IMAX’s ROC, ROE, ROA, ROIC, and free cash flow are well above the average for their peers (Appendix XXXII). Further, IMAX has a strong current ratio, working capital, and D/E ratio adding financial robustness to their structure, which makes me think they are undervalued on a P/E basis (Appendix XXXIII).
  • 11. 10 Fixed Income Introduction Because of the short Investment time horizon and expanding economic climate with prolonged low inflation (Appendix IV) and interest rates there is essentially no inflation or interest-rate risk, and thus call risk, duration, and convexity are eliminated as factors. There is little expected event risk either, as the government is unlikely to impose regulation on sectors which help drive the expansion of the economy. The bonds were chosen in sectors that are expected to see the most growth with the expanding economy and dovish FED (Riccadonna, 2015). The FED being dovish works in favor of corporate bonds as credit spreads are high at the moment reducing the chance of them being narrowed by interest-rate hikes, and because this policy allows more access to capital reducing credit risk. River Rock Entertainment Authority (River 9 11/01/18) This is a defaulted bond which is not rated, but the bond is considered 1st lien, and Sr. secured debt rated by Moody’s at B3 (Appendix XXXIV). The company’s D/E ratio is 2959.03 (Appendix XXXV), meaning the company is heavily leveraged. The high proportion of leverage is acceptable when the company boasts a 2.23 interest coverage ratio, net income growth of 8.54% from last year, and a ROA of 11.85 with their low WACC cost of debt of 0.9976 (Appendix XXXV). These ratios are a testament to the company’s ability to pay off its debts effectively, and to generate cash flow from its assets. There is still the worry of credit risk as the bond is defaulted, but the organization only defaulted once in May, 2014 since its issuance in 2011, drastically reducing the bond’s value (Business Wire, 2014). Another worry is the size of issuance, as it might be hard to trade a private company’s bond, but there were $96.622M issued, and there is still
  • 12. 11 $70.383M outstanding reducing any worry surround the marketability of the bond (Appendix XXXVI). Tesla Motors Inc. (TSLA 1 ¼ 03/01/21) Tesla has a capitalization ratio of 68.33%, and is not overly leveraged (RV of Bonds). With an interest-coverage ratio of -2.94 (RV of Bond), one begins to worry; however, taking into account the aforementioned analysis of Tesla and its ability to generate equity funding, high P/B and P/S ratios, and impressive 58% revenue growth last year (Appendix XXVI) I am confident in their ability to cover interest payments while funding future projects. I believe the bond to be undervalued based on a B-u rating (RV of Bond) and that when the stock price raises so will the value of the bond, as investors will realize the latent value in Tesla’s discounted cash flows. Sears Roebuck Acceptance Corp. (SHLD 6 ½ 12/01/28 Corp) Sears has enough assets, with a current ratio of 1.05, and a working capital of 268,000,000 to support the debt (Appendix XXXVIII), as well as strong cash flow from investing activities which increased last year by 252% to USD423.56M, and is expected to increase by another 727.44% to 1655.68 over the next 2 fiscal periods (Appendix XXXVIII). These numbers alleviate most of the credit risk surrounding the bond as Sears has sufficient capital to pay their debts, and can use the cheaper capital available from current policy to refinance. Toys R Us (TOY7 ⅜ 10/15/18 Corp) Toys R Us has a current ratio of 1.28, a working capital of 427,730,000, and a projected increase in cash flow from operations of 217% from $91.86M to $291M for the coming fiscal period, which will produce an additional $164.61M in free cash flow to pay down debts (Appendix XXXVIV). Investors will be willing to pay more for the high coupon payment once they realize
  • 13. 12 that Toys R Us has the capital to pay back its debts in the near future, because of the deep discount they’re getting it at. Alcatel-Lucent USA Inc. (ALUFP 6 ½ 01/15/28 Corp) Alcatel-Lucent USA Inc. has a capitalization ratio of 63%, meaning their leverage is actually not that high (Appendix XXXVII). Revenues increased by almost 10% last year, and net income at 1.4% (Appendix XXXVII). This coupled with their WACC of debt of 0.73% (Appendix XXXV), and their 1.45 current ratio, $4.1B working capital, and ROIC of 2.78% (Appendix XXXX) gives me confidence in their ability to pay their debts, and even grow. Moving forward I believe that investor demand will increase if the current financial stability of Alcatel-Lucent remains steady, as it offers a 6.5 coupon in a period of prolonged low interest rates, and has the potential to upgrade from a BB+ rating (Appendix XXXVII). Rite Aid Corp. (RAD 7.7 02/15/27 Corp) Rite Aid Corp. is currently suffering from equity problems with a capitalization ratio of 157% which heavily devalues the bond (Appendix XXXVII). This would seem like over-leveraging, but their interest-coverage ratio is healthy at 1.53 (Appendix XXXVII) with a ROA of 3.55%, ROIC of 20.29%, and free cash flows of $368.17M (Appendix XXXXI). Offering a coupon rate of 7.7% on Sr. unsecured debt in these low interest times with this kind of financial stability gives me full reason to believe that this bond is undervalued and under-rated at B+ (Appendix XXXVII).
  • 14. 13 Asset Allocation (Appendix XXXXII) Because there are no penalties for investing smaller amounts of money into the fixed income market as would normally be true, I have only allocated 30% of the portfolio to the high-yield bonds due to risk exposure. The equity weightings were selected according to the CAPM model which determined the securities with the highest expected return. Through this model I attempted to match a 1.0 beta in order to mimic the risk exposure of the U.S market. For weighting the fixed income I used the above analysis to determine which bond had the strongest fundamentals and the highest yields. Based on the asset allocation used the portfolio had an expected annualized return of 110% with a 1.0 beta, in contrast to the market which had an expected return of 9.43 with a 1.0 beta. The portfolio’s expected variance was 17.60, with a SD of 4.195 (Appendix XXXXIII), meaning this portfolio theoretically has a 99% chance of being profitable as even 3 SD’s away from the mean of 110% is a positive return.
  • 15. 14 Selected Benchmark I have decided to choose the S&P500 as my benchmark index. The majority of the portfolio (70%) is in large market cap equities traded on the S&P500, proving to be a good fit on for the benchmark on the equity side. CNBC found there has been a positive correlation over the last 5 years between the Barclays U.S Corp HY Index and the S&P 500 (Chemi, 2015), making it the most suitable index to use as a benchmark. I do expect some tracking error due to the discrepancy in the holdings of the index and this portfolio; however I did organise the asset allocation of this portfolio to have a beta of 1.0, mimicking the S&P500’s systematic risk level, and thus price movements.
  • 16. 15 Part Two Weekly Analysis of Portfolio Performance In the first week of April the portfolio outperformed the S&P500 by about 3% (Appendix XV). The increase could have been a result of Tesla’s upgrade to the model S (Ramsey, 2015). Another possibility is that investors realized the true credibility of River Rock Entertainment (Appendix XXXXIV), doubling the value of their high yield bonds. Alternatively, Netflix tweeted that their global streaming hours increased by 54% from 6.5bn in 2014, a number which made current expectations of subscribership appear heavily understated (BTG, 2015). The second week was similar in that the portfolio beat the S&P500 again by 5%, with the S&P actually dropping by 100bp (Appendix XV). In this week the only stock which performed exceptionally was Netflix with a 25% gain (Appendix XXXXV) after beating expectations for subscribership and earnings in Q1 (Pett, 2015), leading me to believe my weighting in Netflix vs. the S&P500 is what caused this outperform. The third week the portfolio and its benchmark S&P500 had similar returns (Appendix XV). The portfolio didn’t perform that well but was saved from an 18% increase in Amazon’s share price (Appendix XXXXVI) after releasing earnings from its cloud computing which were 49% higher from last quarter. One possibility for the S&P500 almost matching returns is that cloud computing as an industry saw a boost in revenue, with Microsoft and Google also benefiting among others.
  • 17. 16 The final week of the holding period was the biggest discrepancy with the S&P 500 dropping by 40bp and the portfolio earning over 6% (Appendix XV). I believe this was caused by investors realizing River Rock’s bonds were undervalued as a result of the defaulted label as they jumped by 70% (Appendix XXXXIV). Another reason for this increase could have been the decision to not raise interest rates at the April Fed meeting, causing a higher demand for high- yielding bonds.
  • 18. 17 Part Three S&P500 & Jensen’s Alpha Although achieving a beta of 1.0 was accomplished, we are assuming that all unsystematic risk has been eliminated. This is not the case as the equities chosen are all within 3 sectors, and within 5 industries. Moreover, the industries’ revenues, earnings, and costs have similar drivers, and the companies chosen all play some part in the every industry. This being said, establishing a beta of 1.0 is still an important objective as we are never going to be truly rid of unsystematic risk, the portfolio is still relatively well diversified, and based on the macroeconomic analysis conducted (Appendices I through VII) the other sectors were not optimal choices regardless of additional diversification. The expected monthly return of the portfolio based on the CAPM was 6.39%, with a beta of 1.000315108 (Appendix XXXXII), and a standard deviation of 4.19 (Appendix XXXXIII). The actual monthly return of the portfolio was 25.27% (Appendix XVII). When we calculate this against a monthly risk-free rate of 0.052126967% (XXXXVII), and a monthly market return of 2.0925% (Appendix XVI), we get a Jensen’s Alpha of 23.18 in comparison to the S&P500. When comparing the actual return against the expected portfolio return based on the CAPM, we get an excess return of 18.88%.
  • 19. 18 Part Four Benchmark Tracking This portfolio had a mix of passive and active management. I did attempt to beat the market through fundamental and sentiment analysis, and I don’t believe markets are efficient. I know investors are not rational, and do not have access to unlimited information. I think opportunities can be identified through top down analysis like the one used for this report, taking into account macroeconomic, sector, industry, and firm level factors. I also believe that sentiment plays a larger role than any fundamental factors because the market has a hard time accurately accounting for it. This portfolio did not track the benchmark well with a tracking error of 4.725, and a correlation coefficient of -.074808 (XXXXVII). I think this relatively high tracking error stems from the fact that this portfolio has high-yield bonds, and that this portfolio took into account macro-economic trends and consumer lifestyle trends. However it could also have been the effect of an odd market climate. The value of the portfolio at the end of the holding period was $22,076,089.85 USD, earning a 25.27% HPR (Appendix XVII).
  • 20. 19 References National Bureauof EconomicResearch.(2010). BusinessCycle DatingCommittee,National Bureauof EconomicResearch.BusinessCycleDating Committee, 20 September.Available from http://www.nber.org/cycles/sept2010.html [Accessedon4th ,April,2016] Mangalindan, J. (2012). Amazon's Prime and punishment. Fortune, 21 February. Available from http://fortune.com/2012/02/21/amazons-prime-and-punishment/ [Accessed April 4th, 2016]. Guarini, D. (2014). Amazon Reveals It Wants To Deploy Delivery Drones. No Joke. The Huffington Post, 23 January. Available from http://www.huffingtonpost.com/2013/12/01/amazon-prime-air-delivery- drones_n_4369685.html [Accessed April 4th, 2016]. Layne, R. and Hull, D. (2015). Tesla in ‘Substantially Better Position’ Than Yr Ago: Dougherty. Bloomberg First Word, March, 31. Available from Bloomberg Terminal [Accessed April 4th, 2016]. News, Bloomberg. (2015). Musk Reboots Tesla's China Strategy. Bloomberg News, 30 March. Available from http://www.bloomberg.com/news/articles/2015-03-29/musk-reboots-tesla- china-strategy-as-range-anxiety-crimps-sales [Accessed April 4th, 2016] Herald, The Sydney Morning. (2015). The tweet that added $1 billion to company's bottom line. The Sydney Morning Herald, 31 March. Available from http://www.smh.com.au/it- pro/business-it/the-tweet-that-added-1-billion-to-companys-bottom-line-20150331-1mc0sq [Accessed April 4th, 2016]. Cohan, P. (2015). 4 Reasons To Invest In Netflix. Forbes, 21 Jan. Available from http://www.forbes.com/sites/petercohan/2015/01/21/4-reasons-to-invest-in- netflix/2/#98404076db2c [Accessed April 4th, 2016]. Knight, E. and Lynch, J. (2015). Arrival of Netflix and SVOD set to change Australian TV. The Sydney Morning Herald, 28 March. Available from http://www.smh.com.au/business/media- and-marketing/arrival-of-netflix-and-svod-set-to-change-australian-tv-20150326-1m8zlo [Accessed April 4th, 2016]. Palmeri, C. (2015). Disney Profit Tops Estimates as ‘Frozen’ Gifts Star for Holidays. Bloomberg News, 2 March. Available from Bloomberg Terminal [Accessed April 4th, 2016]. Sakoui, A. and Bit, K. (2015). Eastwood’s ‘American Sniper’ Tops Box Office for Second Week. Bloomberg News, 25 January. Available from Bloomberg Terminal [Accessed April 4th, 2016].
  • 21. 20 Freund, J. (2015). Walt Disney Adj. EPS, Rev. Beat Highest Ests. Bloomberg First Word, 2 March. Available from Bloomberg Terminal [Accessed April 4th, 2016]. Buckles, T. et al. (2015). IMAX: Management Meetings ReaffirmEarnings Power of Robust Box Office Outlook and Highlight Longer-Term Opportunities. J.P. Morgan, 21 March. Available from Bloomberg Terminal [Accessed April 4th, 2016]. Riccadonna, C. (2015). Dot Plot Suggests Fed Is Able, Not Yet Ready or Willing. Bloomberg Intelligence, 20 March. Available from Bloomberg Terminal [Accessed April 4th, 2016]. Wire, Business. (2014). River Rock Entertainment Authority Announces Failure to Make Scheduled Interest Payment. Business Wire, 28 May. Available from Bloomberg Terminal [Accessed April 4th, 2016]. Chemi, E. (2015). The correlation between the S&P 500 and high-yield bonds. CNBC, 15 December. Available from http://www.cnbc.com/2015/12/15/the-correlation-between-the-sp- 500-and-high-yield-bonds.html [Accessed April 4th, 2016]. Ramsey, M. (2015). Tesla to Upgrade Slower-Selling Version of Model S. Wall Street Journal, 8 April. Available from http://www.wsj.com/articles/tesla-to-upgrade-base-version-of-model-s- 1428490801 [Accessed April 4th, 2016]. Greenfield, R. et al. (2015). Netflix Rivaling Broadcast Nets Monthly Viewership as Domestic Subs Now Streaming Over 2 Hours/Day. BTG, 9 April. Available from Bloomberg Terminal [Accessed April 4th, 2016]. Pett, D. (2015). Investing: Analysts boost Netflix ratings after stellar Q1 earnings. NPW, 17 April. Available from Bloomberg Temrinal [Accessed April 4th 2016]
  • 22. 21 Appendix I Retrievedfrom:Bloombergterminal,2016 (Index USUDMAER* & USURTOT - trackingU-3 & U-6 unemploymentrespectively) Unemployment Official unemployment (U-3) and U-6 unemployment are showing a long-term trend downward returning to pre-recession levels, and remaining below their respective 200-day moving averages signaling the strength of this downward trend. However, this is a simple moving average, and not an exponential moving average, and so could be overstating the strength of this downtrend. As a result it is imperative to look at other indicators to support the claim the economy is in recovery. For example, just because people have jobs doesn’t mean they are making more money, and thus have more disposable income. * U-6 unemployment includes marginally attached workers and those working part-time for economic reasons
  • 23. 22 Appendix II Retrievedfrom:Bloombergterminal,2016 (Index ETSLTOTL& USPHTOTL – tracking existing&pending home salesrespectively) Pending and Existing Housing Sales Housing sales are on the rise with a strong upward trend, and with potential sales hinting that existing sales will continue the upward trend (Appendix II). This hints at further economic stimulation and encourages me to lean toward sectors which do well during expansionary times. This rapid increase could be a result of a weak housing market, but regardless is another signal of the economy’s recovery. However, there is a possibility that the sales are being fueled by an increase in foreign investment, meaning consumers in the US are not showing increased spending and optimism.
  • 24. 23 Appendix III Retrievedfrom:Bloombergterminal,2016 - US Personal ConsumptionExpenditure Chained2009 Dollars YoY SA (PCECHY% Index),USDisposable Personal IncomeChained2009 DollarsYoY (PIDSCWT% Index) Disposable Income and Consumer Spending It can be seen that both real disposable income and personal consumption are higher than 2008 pre-recession levels. Disposable personal income shows positive change of almost 1%, and spending is up almost 2%. Although these aren't promising growth rates in a mature economy, they do signal growing belief in the economy from consumers and thus consumption for cyclical stocks is expected to grow. The lack of consistency in the growth could also be a result of an unsteady global economic climate which is still recovering from the 2008 meltdown, as now more than ever economies are feeling the effects of globalization and interconnectedness.
  • 25. 24 Appendix IV Retrievedfrom:Bloombergterminal,2016 – EHPIUSY Index (USConsumerPrice Index (AnnualYOY%)) Inflation Inflation is sitting well below its 50 day moving average and the 2% target set by the FED. This counters expectations for promising economic growth; because inflation reflects the growth of an economy to an extent, meaning this far out from the recession we should be seeing higher rates. However, it is promising for wages and, coupled with low interest rates, consumption of cyclical products and big purchases like automobiles and new tech as costs of borrowing are low. The other side of this is that US treasuries will have low yields for the time being which is adverse to our portfolio’s goal of achieving high returns with minimal risk as government bonds are excellent hedging tools.
  • 26. 25 Appendix V Retrievedfrom:Bloombergterminal,2016 – US TreasuryActivesCurve asof 04/01/15 Yield Curve There is a normal yield curve for active US treasuries which shows investors are confident in the expansion of economy - spread is 192.56bp as per Market Matrix US Sell 2 year & Buy 30 year bond yield spread at April 1st 2015. Based on the yield curve and spread from 2yr to 30yr bonds we can expect the economy to expand and inflation to pick up. At the very least, we can be confident that investors expect the economy to continue expanding based on the current monetary and fiscal policy in place/expected, and will thus continue to increase spending on cyclical products and help drive the economy. This being said, based on the shape of the yield curve from 1 month to 2 years it appears that no rises in interest rates or inflation are going to take place in the immediate future.
  • 27. 26 Appendix VI Retrievedfrom:Bloombergterminal,2016 - CONSSENT Index (University of Michigan Consumer Sentiment Index)/CONSCURR Index (University of Michigan Current Economic Conditions Index)/CONSEXP Index (The University of Michigan Consumer Expectations Index) Consumer sentiment in the U.S. The results from the CONSSENT Index from the University of Michigan which surveys consumer attitudes and expectations toward personal finances, general business conditions, and market conditions to determine the change in consumers’ willingness to buy shows consumer sentiment is on the rise (Appendix VI). These results are coupled with the CONSCURR Index which shows consumer confidence regarding the general state of the economy in Continental USA, and the CONSEXP Index which measures consumers’ views for their own financial situation, as well as prospects for the general economy over the near and long term (Appendix VI). All of these indices have almost reached the same levels, and in some cases surpassed, where they were at their peak in 2007 (Appendix VI). This is another indicator showing that consumer sentiment is good and that the economy is expanding. Although it ignores the large effect institutional investors have on the economy it does support the expectation that the economy will continue to grow in the near future.
  • 28. 27 Appendix VII Retrievedfrom:Bloombergterminal,2016 - YoY% v. QoQ% in US GDP Real GDP growth YoY% v. QoQ% growth in US GDP shows growth to be dismal (Appendix VII). It appears that prospects for company growth are minimal at this time, but consumer sentiment drives share price and the economy heavily. I expect GDP growth to pick up in the near future, and to not have a heavy effect on the share prices over the next month, as it appears to be rising for the second quarter of 2015 as a result of a sustained increase in consumer spending (Appendix III) and decrease in unemployment (Appendix I).
  • 29. 28 Appendix VIII Retrievedfrom:Bloombergterminal,2016 – YTD performance of sectorsinthe S&P500
  • 30. 29 Appendix IX Retrievedfrom:Bloomberg terminal,2016 – Price of crude oil futurescontracts(WTI andBRENT)
  • 31. 30 Appendix X Retrievedfrom:Bloombergterminal,2016 – graph showingearningsof telecommunicationssector (yellow) atitshighestwhileshare priceslagbehind
  • 32. 31 Appendix XI Retrievedfrom:Bloombergterminal,2016 – graph showingdisparitybetweentelecommunications sector(S5TELS Index) P/EandS&P500 as a whole (SPXIndex)
  • 33. 32 Appendix XII Retrievedfrom:Bloombergterminal,2016 – graph showingthe movementinshare prices forthe telecommunicationssector(S5TELSIndex) andS&P500 as a whole (SPXIndex)
  • 34. 33 Appendix XIII Retrievedfrom:Bloombergterminal,2016 – Dow Jones Transportation (TRAN) and Industrial (INDU) Averages from April 1st , 2014 – April 1st , 2015
  • 35. 34 Appendix XIV Retrieved from Bloomberg Terminal, 2016 - Weekly Performance of Portfolio Vs. S&P500 for 04/01/15 - 05/01/15
  • 36. 35 Appendix XV RetrievedfromBloomberg Terminal,2016 - Comparisonof PortfolioReturns to Benchmark S&P500* *returnof portfolioingraphdoesnotexactlymatchworksheet(3.5% discrepancy) asBloomberg interpolatedsome of the bondvalueswhen creatingthisgraphusingpricesoutside of the investment holdingperiod(ie.BeforeApril 1st ,orafterMay 1st ).
  • 37. 36 Appendix XVI BloombergTerminal,2016 - Summaryof Portfolio UserName Portfolio Benchmark As-ofDate Currency # % Wgt Mkt Val Px Close @ 04/01/15* % Wgt Mkt Val Px Close @ 05/01/15 Actual Return (%) Crncy 12 100.00 17,623,200 100.00 22,076,089.85 25.27% USD Communications 3 35.41 6,240,375 35.41 7,435,230.57 19.15% USD ALUFP6½01/15/28 5.00 881,160 101.75 5.00 956,935.43 110.5 8.60% USD NETFLIXINC 16.70 2,943,074 59.15 16.70 3,959,125.14 79.576 34.52% USD WALTDISNEYCO/THE 13.71 2,416,141 104.72 13.71 2,519,170.00 109.1811 4.26% USD Consumer, Cyclical 7 54.22 9,555,299 54.22 12,584,629.32 31.70% USD AMAZON.COMINC 14.16 2,495,445 372.25 14.16 2,834,785.43 422.87 13.60% USD RAD7.702/15/27 5.00 881,160 117.000 5.00 905,636.67 120.25 2.78% USD RIVER911/01/18 6.00 1,057,392 3.50 6.00 2,870,064.00 9.500 171.43% USD SHLD6½12/01/28 4.00 704,928 63.450 4.00 784,697.63 70.63 11.32% USD TESLAMOTORSINC 15.06 2,654,054 187.59 15.06 3,197,909.31 226.03 20.49% USD TOY7⅜10/15/18 4.00 704,928 67.282 4.00 740,215.26 70.65 5.01% USD TSLA1¼03/01/21 6.00 1,057,392 191.00 6.00 1,251,321.01 226.03 18.34% USD Technology 2 10.37 1,827,526 10.37 2,056,229.97 12.51% USD IMAXCORP 9.75 1,718,262 34.25 9.75 1,900,874.37 37.89 10.63% USD SUPERCOMLTD 0.62 109,264 8.70 0.62 155,355.60 12.37 42.18% USD Composite FI / EQTY Portfolio CompositeFI/EQTYPortfolio S&P500INDEX(SPX) 04/03/2015 USD Port PORTHoldingsReport Protfolio Summary W330135W330135
  • 38. 37 Appendix XVII RetrievedfromBloomberg,2016 - Amazonshare price movementw/earningsexpectations
  • 39. 38 Appendix XVIII RetrievedfromBloombergterminal,2016 – Snapshotof Amazon’srelative valuetopeersasof 04/01/15 Ticker Name P/E:20150401 P/S:20150401 DvdYld:20150401 Debt/Equity:Y-1 Debt/Assets:Y-1 FCF:Y-1 AMZN USEquity AMAZON.COMINC 482.7 1.8656 0 149.7905 29.5184 1948999936 BABA USEquity ALIBABAGROUPHOLDING-SPADR 65.9634 15.7379 0 100.6296 36.8224 3531343569 DANG USEquity E-COMMERCECHINA-SPONADR-A 190.7896 0.5251 0 0 0 29120227.49 EBAY USEquity EBAYINC 10.9901 2.2815 0 38.3151 16.8993 5055000064 JD USEquity JD.COMINC-ADR (N/A) 1.8611 0 5.0423 2.8436 509121734 MELI USEquity MERCADOLIBREINC 61.3847 9.2811 0.4852 79.7738 29.3558 162367328 VIPS USEquity VIPSHOPHOLDINGSLTD-ADR 102.9242 3.7838 0 142.8795 22.7419 414862223.5 Average 152.4586667 5.048014286 0.069314286 73.77582857 19.7402 1664402155 Difference 330.2413333 -3.182414286 -0.069314286 76.01467143 9.7782 284597781.4
  • 40. 39 Appendix XIX RetrievedfromBloombergTerminal,2016 – Summaryof Amazon’sfinancial performance Amazon.com Inc (AMZN US) - Adj Highlights In Millions of USD FY 2008 FY 2009 FY 2010 FY 2011 FY 2012 FY 2013 FY 2014 12 Months Ending 12/31/2008 12/31/2009 12/31/2010 12/31/2011 12/31/2012 12/31/2013 12/31/2014 Market Capitalization 21,947.8 59,726.9 81,180.0 78,760.5 113,895.0 183,044.6 144,312.8 - Cash & Equivalents 3,727.0 6,366.0 8,762.0 9,576.0 11,448.0 12,447.0 17,416.0 + Preferred & Other — 0.0 0.0 0.0 0.0 0.0 0.0 + Total Debt 664.0 381.0 865.0 1,939.0 4,964.0 6,889.0 16,089.0 Enterprise Value 18,884.8 53,741.9 73,283.0 71,123.5 107,411.0 177,486.6 142,985.8 Revenue, Adj 19,166.0 24,509.0 34,204.0 48,077.0 61,093.0 74,452.0 88,988.0 Growth %, YoY 29.2 27.9 39.6 40.6 27.1 21.9 19.5 Gross Profit, Adj 4,270.0 5,531.0 7,643.0 10,789.0 15,122.0 20,271.0 26,406.0 Margin % 22.3 22.6 22.3 22.4 24.8 27.2 29.7 EBITDA, Adj 1,129.0 1,558.0 1,974.0 1,945.0 2,910.0 4,010.0 5,094.0 Margin % 5.9 6.4 5.8 4.0 4.8 5.4 5.7 Net Income, Adj 645.0 932.6 1,151.4 628.4 173.3 285.4 -130.5 Margin % 3.4 3.8 3.4 1.3 0.3 0.4 -0.1 EPS, Adj 1.39 2.11 2.53 1.36 0.38 0.61 -0.28 Growth %, YoY 24.1 51.7 19.9 -46.0 -72.3 62.3 — Cash from Operations 1,697.0 3,293.0 3,495.0 3,903.0 4,180.0 5,475.0 6,842.0 Capital Expenditures -333.0 -373.0 -979.0 -1,811.0 -3,785.0 -3,444.0 -4,893.0 Free Cash Flow 1,364.0 2,920.0 2,516.0 2,092.0 395.0 2,031.0 1,949.0 Source: Bloomberg Revenune CAGR 2010 - 2014 = 27% = FV/PV^(1/n) 27.00289979
  • 41. 40 Appendix XX RetrievedfromBloombergTerminal,2016 – Summaryof Ebay’sfinancial performance eBay Inc (EBAY US) - Adj Highlights In Millions of USD FY 2008 FY 2009 FY 2010 FY 2011 FY 2012 FY 2013 FY 2014 12 Months Ending 12/31/2008 12/31/2009 12/31/2010 12/31/2011 12/31/2012 12/31/2013 12/31/2014 Market Capitalization 17,897.1 30,537.2 36,115.3 39,019.2 65,991.0 70,995.3 68,690.9 - Cash & Equivalents 3,352.7 4,943.8 6,622.8 5,929.4 9,408.0 9,025.0 7,835.0 + Preferred & Other — 0.0 0.0 0.0 0.0 0.0 0.0 + Total Debt — 0.0 1,794.2 2,089.6 4,519.0 4,123.0 7,627.0 Enterprise Value — 25,593.4 31,286.7 35,179.4 61,102.0 66,093.3 68,482.9 Revenue, Adj 8,541.3 8,727.4 9,156.3 11,651.7 14,072.0 16,047.0 8,790.0 Growth %, YoY 11.3 2.2 4.9 27.3 20.8 14.0 -45.2 Gross Profit, Adj 6,313.2 6,247.6 6,591.6 8,191.5 9,856.0 11,011.0 7,127.0 Margin % 73.9 71.6 72.0 70.3 70.0 68.6 81.1 EBITDA, Adj 2,844.6 2,305.9 2,855.5 3,313.0 4,121.0 4,774.0 3,165.0 Margin % 33.3 26.4 31.2 28.4 29.3 29.8 36.0 Net Income, Adj 1,779.5 1,557.0 1,815.3 1,861.9 2,556.4 2,799.1 -860.5 Margin % 20.8 17.8 19.8 16.0 18.2 17.4 -9.8 EPS, Adj 1.55 1.19 1.37 1.42 1.95 2.14 -0.69 Growth %, YoY 32.5 -23.1 15.0 3.5 37.5 9.6 — Cash from Operations 2,882.0 2,908.1 2,745.8 3,273.7 3,838.0 4,995.0 5,677.0 Capital Expenditures -565.9 -567.1 -723.9 -963.5 -1,257.0 -1,250.0 -622.0 Free Cash Flow 2,316.1 2,341.0 2,021.8 2,310.2 2,581.0 3,745.0 5,055.0 Source: Bloomberg Revenune CAGR 2010 - 2014 = -1.02% = FV/PV^(1/n) -1.015424787
  • 42. 41 Appendix XXI RetrievedfromBloombergterminal,2016 – Summaryof Alibaba’sfinancial performance Alibaba Group Holding Ltd (BABA US) - Adj Highlights In Millions of USD FY 2010 FY 2011 FY 2012 FY 2013 FY 2014 12 Months Ending 03/31/2010 03/31/2011 03/31/2012 03/31/2013 03/31/2014 Market Capitalization — — — — — - Cash & Equivalents — — 3,585.7 5,403.0 7,734.5 + Preferred & Other — — 464.4 1,782.4 1,846.1 + Total Debt — — 203.7 5,329.6 6,605.3 Enterprise Value — — — — — Revenue, Adj 976.7 1,774.8 3,131.3 5,488.9 8,582.6 Growth %, YoY — 78.5 68.2 72.4 52.1 Gross Profit, Adj 737.5 1,253.4 2,106.5 3,943.4 6,397.2 Margin % 75.5 70.6 67.3 71.8 74.5 EBITDA, Adj — — 941.3 1,886.1 4,351.1 Margin % — — 30.1 34.4 50.7 Net Income, Adj 7.1 176.4 674.9 1,354.5 3,776.8 Margin % 0.7 9.9 21.6 24.7 44.0 EPS, Adj 0.00 0.07 0.27 0.58 1.64 Growth %, YoY — 2,292.0 272.5 115.8 184.5 Cash from Operations 437.7 881.8 1,450.3 2,302.0 4,312.1 Capital Expenditures — — -339.0 -398.0 -780.7 Free Cash Flow — — 1,111.3 1,904.0 3,531.3 Source: Bloomberg Revenune CAGR 2010 - 2014 = 72.17% 6.267452286 = FV/PV^(1/n) 72.17153157
  • 43. 42 Appendix XXII RetrievedfromBloombergterminal –Snapshotof SuperCom’srelative value topeersasof 04/01/15 Ticker Name P/B:20150401 P/E:20150401 P/S:20150401 CurrRatio:Y-1 Debt/Equity:Y-1 DvdYld:20150401 Debt/Assets:Y-1 EPS:Y-1 SPCB USEquity SUPERCOMLTD 3.8466 16.8307 3.4638 1.4896 17.3267 0 10.742 0.71 DORO SSEquity DOROAB 2.6168 27.5449 0.7104 1.3755 15.7491 (N/A) 6.0355 0.4032 EVS BBEquity EVSBROADCASTEQUIPMENTS.A. 5.9129 13.8664 3.6597 2.262 46.3248 (N/A) 24.3782 3.4939 NETIB SSEquity NETINSIGHTAB-B 2.2821 28.9091 3.1598 5.0045 0 0 0 0.0161 ROVI USEquity ROVICORP 1.4992 (N/A) 3.0512 1.0743 99.5465 0 45.4844 -0.76 300330CHEquity SHANGHAIHUAHONGJTSMARTS-A 6.9769 224.125 13.4916 2.7963 0 0.1115 0 0.0232 000586CHEquity SICHUANHUIYUANOPTICALCO-A 13.632 432.9446 6.0807 1.6529 21.5106 0 9.4275 0.0065 000801CHEquity SICHUANJIUZHOUELECTRIC-A 8.3162 100.2919 4.7461 1.4674 40.1797 (N/A) 18.4985 0.026 SPT LNEquity SPIRENTCOMMUNICATIONSPLC 1.8171 38.4194 1.7246 1.857 0 3.0152 0 0.0335 000892CHEquity STELLARMEGAUNIONCORPORAT-A 1466.4339 (N/A) (N/A) 28.2106 0 0 0 -0.0009 WIN CNEquity WI-LANINC 1.2344 26.5005 3.1496 3.5873 0 7.9233 0 0.08 Average 137.6880091 101.0480556 4.32375 4.616127273 21.87612727 1.38125 10.4151 0.3665 Difference -133.8414091 -84.21735556 -0.85995 -3.126527273 -4.549427273 -1.38125 0.3269 0.3435
  • 44. 43 Appendix XXIII RetrievedfromBloombergterminal,2016 – Recentand expectedfuture revenuesforSuperCom
  • 45. 44 Appendix XXIV RetreivedfromBloombergTerminal,2016 – ValuationmetricsforSuperCom Ticker Name ROC:Y-1 ROE:Y-1 ROA:Y-1 FCF:Y-1 ROIC:Y-1 ROIC/WACCRatio SPCB USEquity SUPERCOMLTD 55.3068 64.3287 36.9254 -670000 62.1008 0.98 WIN CNEquity WI-LANINC 3.8932 3.8932 2.9862 58207000 4.1883 0.453 000892 CHEquity STELLARMEGAUNIONCORPORAT-A -57.3397 -57.3397 -53.6924 -444318.9547 -56.6766 2.576 SPT LNEquity SPIRENTCOMMUNICATIONSPLC 4.6459 4.6239 3.3629 10100000 6.504 0.221 000801 CHEquity SICHUANJIUZHOUELECTRIC-A 4.4996 5.2247 2.3806 -2633973.851 2.8309 0.337 000586 CHEquity SICHUANHUIYUANOPTICALCO-A 4.0468 3.2926 1.3368 2824394.998 2.897 -0.214 300330 CHEquity SHANGHAIHUAHONGJTSMARTS-A 5.6053 5.6053 3.8361 -16016514.47 3.1659 -0.136 ROVI USEquity ROVICORP -8.0358 -5.7652 -2.716 161436992 -7.9137 0.141 NETIB SSEquity NETINSIGHTAB-B 8.0451 7.0146 19244067.42 8.1615 0.187 EVS BBEquity EVSBROADCASTEQUIPMENTS.A. 37.0624 50.2251 28.5859 23297696.24 34.1819 2.579 DORO SSEquity DOROAB 22.6999 18.7198 7.2677 16766824.92 27.3169 1.687 Average 7.23844 9.1685 3.3898 24737469.85 7.886991 0.801 DIFFERENCE 48.06836 55.1602 33.5356 -25407469.85 54.21381 0.179
  • 46. 45 Appendix XXV RetrievedfromBloombergterminal,2016 – snapshotof Teslainrelationtopeers Ticker Name P/B:20150401 P/S:20150401 CurrRatio:Y-1 Rev-1YrGr:Y-1 DvdYld:20150401 TSLA USEquity TESLAMOTORSINC 26.9283 6.6766 1.4686 58.8459 0 FCAU USEquity FIATCHRYSLERAUTOMOBILESNV 0.8617 0.1313 1.4379 8.0994 0 F USEquity FORDMOTORCO 2.5353 0.4373 0.6405 -1.9331 3.2998 GM USEquity GENERALMOTORSCO 1.6181 0.3841 1.2737 0.323 3.2662 Average 7.98585 1.907325 1.205175 16.3338 1.6415 Difference 18.94245 4.769275 0.263425 42.5121 -1.6415
  • 47. 46 Appendix XXVI RetrievedfromBloombergterminal,2016 – Snapshotof Netflix inrelationtopeers Ticker Name Rev- 1YrGr:Y-1 DvdYld:20150401 NFLX USEquity NETFLIXINC 25.8333 0 GOOGL USEquity ALPHABETINC-CLA 18.88 0 300431 CHEquity BEIJINGBAOFENGTECHNOLOGY-A 31.1892 0 2193 JPEquity COOKPADINC 31.9096 (N/A) GRPN USEquity GROUPON INC 18.2024 0 P USEquity PANDORA MEDIA INC 44.3505 0 SINA USEquity SINA CORP 15.5066 0 TWTR USEquity TWITTERINC 111.0126 0 WBMD USEquity WEBMDHEALTHCORP 12.6445 0 O1BC GREquity XINGAG 19.0652 (N/A) YHOO USEquity YAHOO!INC -1.33 0 Average 29.75126364 0 Difference -3.917963636 0
  • 48. 47 Appendix XXVII RetrievedfromBloombergterminal –valuationmetricsforNetflix Ticker Name ROC:Y-1 ROE:Y-1 ROA:Y-1 FCF:Y-1 ROIC:Y-1 ROIC/WACCRatio NFLX USEquity NETFLIXINC 13.3337 16.7206 4.2842 -53243000 13.6417 0.442 YHOO USEquity YAHOO!INC 27.9518 29.0318 19.1606 503331008 3.1279 -1.568 O1BC GREquity XINGAG 11.9711 11.8763 5.6025 43076227.43 11.5809 3.671 WBMD USEquity WEBMDHEALTHCORP 5.2082 33.3187 3.3341 89958000 5.0971 1.209 TWTR USEquity TWITTERINC -13.2611 -17.5725 -12.9132 -119834000 -13.1204 -0.666 SINA USEquity SINACORP 2.4206 10.5965 5.3567 -1828000 -0.876 0.024 P USEquity PANDORAMEDIAINC -5.571 -4.2746 -9010000 -5.6012 -2.251 GRPN USEquity GROUPONINC -8.526 -9.9006 -3.4237 205264000 0.4365 -0.44 2193 JPEquity COOKPADINC 26.3519 21.8482 18860063.15 24.1934 2.273 300431 CHEquity BEIJINGBAOFENGTECHNOLOGY-A 16.8548 17.0838 12.0446 -2906100.423 13.9072 0.466 GOOGL USEquity ALPHABETINC-CLA 14.0993 14.789 11.7747 11416999936 12.8431 1.144 Average 7.7836 11.52040909 5.708554545 1099151649 5.930018182 0.391272727 DIFFERENCE 5.5501 5.200190909 -1.424354545 -1152394649 7.711681818 0.050727273
  • 49. 48 Appendix XXVIII RetrievedfromBloombergterminal,2016 – Netflixvaluationmetrics Ticker Name ROELF ROE:Y-1 NI/Profit-1YrGr:Q NI/Profit-1YrGr:Q-4 DilEPSFrmContOp1YGr:Y-1 NFLX USEquity NETFLIXINC 6.0101 16.7206 -48.2098 72.1794 103.887 GOOGL USEquity ALPHABETINC-CLA 14.1817 14.789 3.4896 40.9064 0.3739 300431 CHEquity BEIJINGBAOFENGTECHNOLOGY-A 15.7782 17.0838 2193 JPEquity COOKPADINC 28.1902 26.3519 242.5908 1.2496 15.2901 GRPN USEquity GROUPONINC 3.3546 -9.9006 37.0449 P USEquity PANDORAMEDIAINC -25.5755 -5.571 36.7718 34.7826 SINA USEquity SINACORP 1.0901 10.5965 -75.6439 34.4229 262.5154 TWTR USEquity TWITTERINC -13.0348 -17.5725 28.0139 75.4919 71.8475 WBMD USEquity WEBMDHEALTHCORP 58.787 33.3187 68.7208 50.5364 146.4494 O1BC GREquity XINGAG 33.947 11.8763 36.185 YHOO USEquity YAHOO!INC -12.8614 29.0318 -52.2261 3.0365
  • 50. 49 Appendix XXIX RetrievedfromBloombergTerminal,2016 – valuationmetricsforDisney Ticker Name ROC:Y-1 ROE:Y-1 ROA:Y-1 FCF:Y-1 ROIC:Y-1 ROIC/WACCRatio DIS USEquity WALTDISNEYCO/THE 13.0674 16.5975 9.0711 6469000192 11.6345 1.476 CBS USEquity CBSCORP-CLASSBNONVOTING 20.9571 34.9433 11.7603 1069000000 12.2696 1.299 DISCA USEquity DISCOVERYCOMMUNICATIONS-A 10.3121 12.871 7.3605 1198000000 9.7795 1.114 TWX USEquity TIMEWARNERINC 10.2242 14.075 5.8363 3207000064 10.0291 1.696 FOXA USEquity TWENTY-FIRSTCENTURYFOX-A 14.1548 26.232 8.5382 2286000128 10.5343 1.401 VIAB USEquity VIACOMINC-CLASSB 17.0565 53.658 10.2014 2473999872 16.9805 2.003 Average 14.29535 26.39613333 8.794633333 2783833376 11.87125 1.498166667 DIFFERENCE -1.22795 -9.798633333 0.276466667 3685166816 -0.23675 -0.022166667
  • 51. 50 Appendix XXX RetrievedfromBloomberg Terminal,2016 – DisneyRV topeers Ticker Name SharesOut:Y-1 EPS:Y-1 Rev-1YrGr:Y-1 NIMrgnAdj:Y-1 DIS USEquity WALTDISNEYCO/THE 1700000000 4.31 8.3746 15.6024 CBS USEquity CBSCORP-CLASSBNONVOTING 507000000 5.38 -1.4209 12.0267 DISCA USEquity DISCOVERYCOMMUNICATIONS-A 439252256 1.67 13.1888 19.2075 TWX USEquity TIMEWARNERINC 832000000 4.433 3.3937 16.376 FOXA USEquity TWENTY-FIRSTCENTURYFOX-A 2206827008 1.99 15.1472 11.049 VIAB USEquity VIACOMINC-CLASSB 414200000 5.53 -0.0797 17.2386 Average 1016546544 3.8855 6.43395 15.25003333 Difference 683453456 0.4245 1.94065 0.352366667
  • 52. 51 Appendix XXXI RetrievedfromBloombergTerminal,2016 – ValuationmetricsforIMAX Ticker Name ROC:Y-1 ROE:Y-1 ROA:Y-1 FCF:Y-1 ROIC:Y-1 ROIC/WACCRatio IMAX USEquity IMAXCORP 11.4144 11.315 7.2072 46501000 12.2988 0.83 6727 JPEquity WACOMCOLTD 16.6164 16.9285 10.3953 -11740671.22 16.3864 0.818 3673 TTEquity TPKHOLDINGCOLTD 1.6866 0.6199 0.1822 390300760.2 0.1171 -2.529 000100 CHEquity TCLCORP-A 9.6844 19.6721 3.724 -544050922.2 3.6275 0.241 002456 CHEquity SHENZHENO-FILMTECHCO-A 14.1798 25.0343 7.9915 -217739432.7 12.7598 0.607 002106 CHEquity SHENZHENLAIBAOHI-TECHCO-A 1.9308 2.0264 1.6519 -95907616.79 0.6394 -0.638 7915 JPEquity NISSHAPRINTINGCOLTD 5.8406 8.2503 3.5884 -14927992.72 2.5939 1.31 300162 CHEquity LEDMANOPTOELECTRONICCO-A 3.9921 3.4753 2.8841 4091582.286 1.8391 0.058 6456 TTEquity GENERALINTERFACESOLUTION 9.5155 20.5484 3.2575 54858706.9 8.2779 0.855 300282 CHEquity BEIJINGIRTOUCHSYSTEMSCO-A -3.0302 -3.062 -2.7598 -8559868.553 -5.8684 0.094 BAR BBEquity BARCON.V. 10.4903 10.264 5.7998 106202703.5 10.2618 2.374 Average 7.4837 10.46110909 3.992918182 -26451977.39 5.721209091 0.365454545 DIFFERENCE 3.9307 0.853890909 3.214281818 72952977.39 6.577590909 0.464545455
  • 53. 52 Appendix XXXII RetrievedfromBloombergTerminal,2016 – RV of IMAXto peers Ticker Name P/B:20150401P/E:20150401P/S:20150401EPS:Y-1 Rev-1YrGr:Y-1NIMrgnAdj:Y-1CAPEX:Y-1 WorkCap:Y-1CurrRatio:Y-1Debt/Equity:Y-1DvdYld:20150401CshDvdCov:Y-1SharesOut:Y-1 IMAX USEquity IMAXCORP 5.916 55.5592 7.559 0.58 0.9044 14.4448 -40104000 203983008 2.9193 1.1039 0 0 68988048 BAR BBEquity BARCON.V. 1.228 41.2806 0.8062 2.6038 -9.9287 -101266688 307766343.7 1.5518 9.5976(N/A) 2.7766 12989000 300282CHEquity BEIJINGIRTOUCHSYSTEMSCO-A 2.958 261.0833 3.5616 -0.0103 -14.2952 -6481131.756 30411972.21 5.59 0.4711 0.0511(N/A) 136432920 6456 TTEquity GENERALINTERFACESOLUTION (N/A) 0.1587 -5.4347 -207489083.4 -19157152.15 0.974 173.1158(N/A) (N/A) 286040992 300162CHEquity LEDMANOPTOELECTRONICCO-A 11.041 321.2502 20.5034 0.0123 15.4681 -7360318.921 68879705.3 4.1826 5.737 0.1623 1.9232 335000000 7915 JPEquity NISSHAPRINTINGCOLTD 1.4276 8.4187 0.797 0.9232 24.0364 3.4767-158845815.5 31716308.78 1.0729 37.172(N/A) 18.5374 42914000 002106CHEquity SHENZHENLAIBAOHI-TECHCO-A 2.9052(N/A) 4.8394 0.0163 65.446 3.1894-163331740.4 363169560.4 3.4045 9.8793(N/A) 0.9424 705816192 002456CHEquity SHENZHENO-FILMTECHCO-A 4.773 39.334 1.2066 0.1017 131.928 -297627728.1 32695514.56 1.0353 109.2249(N/A) 6.6404 930160000 000100CHEquity TCLCORP-A 3.2783 19.0649 0.5922 0.0565 18.5101 -1248719637 1208882806 1.1564 120.3414(N/A) 3.2608 9452412928 3673 TTEquity TPKHOLDINGCOLTD 1.5893(N/A) 0.5294 0.0277 -18.5774 -121692912 -653343165.7 0.7832 159.2592(N/A) 1.6706 331295008 6727 JPEquity WACOMCOLTD 2.8884 28.1265 1.3107 0.3126 28.7339 6.6881-19068278.58 231239984.7 2.4677 1.8293(N/A) 1.8017 166468400 Average 3.80048 96.764675 4.170550.434772727 21.52644545 6.94975-215635212.1 164204080.5 2.285245455 57.0665 0.071133333 4.172566667 1133501590 Difference 2.11552 -41.205475 3.388450.145227273 -20.62204545 7.49505 175531212.1 39778927.46 0.634054545 -55.9626 -0.071133333 -4.172566667 -1064513542
  • 54. 53 Appendix XXXIII RetrievedfromBloombergTerminal,2016 – breakupof rateddebtfor RiverRockEntertainment Authority
  • 55. 54 Appendix XXXIV RetrievedfromBloombergterminal,2016 – RV of bonds Column1 Total Debt to Total Equity Interest Coverage Ratio Net Income - 1 Yr Growth ROA WACC Cost of Debt Coup on Bon d Opti ons TOT_DEBT_T O_TOT_EQY INTEREST_COVE RAGE_RATIO NET_INC_ GROWTH RETURN_O N_ASSET WACC_CO ST_DEBT CPN Non e Tesla Motors Inc. ED1552584 @TRAC Corp 287.4410695 -2.937603946 - 209.60040 16 - 7.5028529 89 2.1851399 65 1.25 Non e Sears Roebuck Acceptance Corp. EJ9492061 @TRAC Corp #N/A N/A #N/A N/A #N/A N/A - 2.0200410 38 1.9124569 26 6.5 Non e Toys R Us ED1552584 @TRAC Corp #N/A N/A -0.842592593 - 76.576576 58 - 14.221547 42 #N/A N/A 7.375 Non e Alcatel- Lucent USA Inc. DD1151818 194.8580968 -0.197530864 1.3698630 14 - 0.5208565 2 0.7344122 36 6.5 Non e Rite Aid Corp. DD1089216 9893.688657 1.528190029 - 53.775289 42 2.8966117 44 3.9854196 79 7.7 Non e Riverrock Entertainm ent EI850976@ TRAC Corp 2959.03616 2.232136573 8.5403417 98 11.853685 02 0.9976 9 Call able
  • 56. 55 Appendix XXXV RetrievedfromBloombergterminal,2016 – DES page showingamountof sharesoutstandingforRiver Rock Entertainment9%bondmaturing2028
  • 57. 56 Appendix XXXVI RetrievedfromBloombergTerminal,2016 – RV of TeslaBond Column1 Rating(S&P) InterestCoverageRatio CapitalizationRatio Coupon RTG_SP_LT_LC_ISSUER_CREDITINTEREST_COVERAGE_RATIO CAPITALIZATION_RATIO CPN TeslaMotorsInc.ED1552584@TRACCorp B-u -2.937603946 68.33787076 1.25 SearsRoebuckAcceptanceCorp.EJ9492061@TRACCorpCCC+ #N/AN/A #N/AN/A 6.5 ToysRUsED1552584@TRACCorp B- -0.842592593 117.1710225 7.375 Alcatel-LucentUSAInc.DD1151818 BB+ -0.197530864 63.38183152 6.5 RiteAidCorp.DD1089216 B *+ 1.528190029 157.7215931 7.7 RiverrockEntertainmentEI850976@TRACCorp NR 2.232136573 0 9
  • 58. 57 Appendix XXXVII RetrievedfromBloombergTerminal,2016 – SearsBondunderlyingmetrics SearsHoldingsCorp(SHLDUS)-Standardized InMillionsofGBP exceptPerShare FY2006 FY2007 FY2008 FY2009 FY2010 FY2011 FY2012 FY2013 FY2014 FY2015 FY2016 Last12M 12MonthsEnding 01/28/2006 02/03/2007 02/02/2008 01/31/2009 01/30/201001/29/201101/28/201202/02/201302/01/201401/31/201501/30/201601/30/2016 Cashfrom InvestingActivities CF_CASH_FROM_INV_ACT351.12 -354.58 -218.29 -357.65 -109.20 -263.43 -193.00 120.23 423.56 200.10 1,655.68 1,655.68 Growth(YoY) CF_CASH_FROM_INV_ACT94.15 — 38.71 -63.84 69.47 -141.24 26.74 — 252.30 -52.76 727.44 727.44 NI Mrgn Adj:Y-1 CAPEX:Y-1 Work Cap:Y-1 Curr Ratio:Y-1 Debt/Equity:Y-1 -3.5515 -270000000 268000000 1.0479 -0.4343 -77336000 406124000 1.9423 1034.5107 4.8384 -151888000 1087798016 2.3587 40.6852 -5.7681 -252000000 2175000064 2.0088 276.0188 4.5576 -682000000 2720999936 1.9517 79.2522 5.6702 -770000000 3504999936 1.6906 135.9055 2.3101 -70580000 299279008 2.4615 9.9569
  • 59. 58 Appendix XXXVIII RetrievedfromBloombergterminal,2016 – underlyingToysRUs metrics Toys R Us Inc (TOYS US) - Standardized In Millionsof GBP except Per Share FY2010 FY2011 FY2012 FY2013 FY2014 FY2015 FY2016 12 MonthsEnding 01/30/201001/29/201101/28/201202/02/201302/01/201401/31/201501/30/2016 Current Ratio CUR_RATIO1.22 1.17 1.26 1.44 1.28 1.13 1.18 Total Current Assets BS_CUR_ASSET_REPORT2,113.41 2,287.30 2,187.50 2,442.47 1,956.38 2,099.87 2,311.75 Total Current Liabilities BS_CUR_LIAB1,726.83 1,950.27 1,736.89 1,698.03 1,528.65 1,863.52 1,967.24 Workingcapital 386.59 337.04 450.61 744.44 427.73 236.35 344.51 Cash from Operations CF_CASH_FROM_OPER152,150.8 33,272.2 49,947.0 85,063.8 22,973.7 79,595.2 47,290.7 47,290.7 Capital Expenditures CAPITAL_EXPEND-28,809.6 -49,152.0 -59,498.0 -45,304.0 -37,970.4 -34,613.9 -43,515.3 -43,524.6 Free Cash Flow CF_FREE_CASH_FLOW123,341.2 -15,879.9 -9,551.0 39,759.8 -14,996.7 44,981.3 3,775.3 3,775.3
  • 60. 59 Appendix XXXIX RetrievedfromBloombergterminal –Alcatel underlyingmetrics Ticker Name ROC:Y-1 ROE:Y-1 ROA:Y-1 FCF:Y-1 ROIC:Y-1 ROIC/WACCRatio ALU FPEquity ALCATEL-LUCENTSA 1.5687 -4.9228 -0.5443 -524752809.1 2.7892 0.521 ANET USEquity ARISTANETWORKSINC 22.1305 21.9605 14.7761 101382000 22.0136 1.281 CSCO USEquity CISCOSYSTEMSINC 10.8723 13.5661 7.6146 11057000448 9.9908 1.262 300050 CHEquity DINGLICOMMUNICATIONSCORP-A 2.508 2.602 2.2462 13470663.07 -0.5029 0.149 FFIV USEquity F5NETWORKSINC 21.4017 14.095 526273984 21.2156 3.046 GIMO USEquity GIGAMONINC -34.0841 -34.152 -20.7317 3481000 -36.8531 0.27 IDCC USEquity INTERDIGITALINC 15.6036 20.9317 9.0427 234918000 15.4312 1.53 JNPR USEquity JUNIPERNETWORKSINC -3.9921 -5.4708 -3.5932 570499968 -7.5586 1.105 300353 CHEquity KYLANDTECHNOLOGYCOLTD-A 8.5461 8.5567 7.6362 -7407373.013 5.2557 0.223 900930 CHEquity SHANGHAIPOTEVIOCOLTD-B 1.9148 1.1528 0.6046 -57770198.05 0.1228 0.014 600076 CHEquity WEIFANGBEIDAJADEBIRD-A 46.4853 10.939 -5870889.921 -0.689 Ticker Name Rev-1YrGr:Y-1 NIMrgnAdj:Y-1 CAPEX:Y-1 WorkCap:Y-1 CurrRatio:Y-1 Debt/Equity:Y-1 ALU FPEquity ALCATEL-LUCENTSA -4.5971 1.9794 -738639397.1 4134570053 1.4449 195.8797 ANET USEquity ARISTANETWORKSINC 61.7019 14.4238 -13134000 535105984 4.7064 8.5439 CSCO USEquity CISCOSYSTEMSINC -3.014 18.4794 -1275000064 47304998912 3.3881 36.789 300050 CHEquity DINGLICOMMUNICATIONSCORP-A 27.2049 -5342716.264 187655811.6 3.9824 3.478 FFIV USEquity F5NETWORKSINC 16.9263 17.9662 -22718000 361867008 1.5681 0 GIMO USEquity GIGAMONINC 11.9997 -25.9594 -7614000 122697000 2.8201 0 IDCC USEquity INTERDIGITALINC 27.803 25.093 -7095000 638009984 4.1097 45.7947 JNPR USEquity JUNIPERNETWORKSINC -0.8995 8.9875 -192900000 1297200000 1.8571 27.4237 300353 CHEquity KYLANDTECHNOLOGYCOLTD-A 6.2488 -16016665.42 44328194.27 7.0799 0 900930 CHEquity SHANGHAIPOTEVIOCOLTD-B 36.3923 -9054126.578 39343812.63 1.2038 60.6673 600076 CHEquity WEIFANGBEIDAJADEBIRD-A 7.4575 -178851.2011 43497452.11 2.0932 20.9584
  • 61. 60 Appendix XXXX RetrievedfromBloombergterminal,2016 – Right aidunderlyingmetrics Ticker Name ROC:Y-1 ROE:Y-1 ROA:Y-1 FCF:Y-1 ROIC:Y-1 ROIC/WACCRatio RAD USEquity RITEAIDCORP 18.6065 3.5571 3.68E+08 20.2995 -0.399 FRAGUABMMEquity CORPORATIVOFRAGUASABDECV 14.3194 12.8399 6.987 -5394430 13.5114 1.561 CVS USEquity CVSHEALTHCORP 9.8168 12.1877 6.3742 6E+09 9.6637 1.41 PJC/A CNEquity JEANCOUTUGROUPINC-CLASSA 42.3675 42.7823 34.1767 2.42E+08 24.7633 1.981 WBA USEquity WALGREENSBOOTSALLIANCEINC 9.668 5.3127 2.79E+09 8.1666 1.187
  • 62. 61 Appendix XXXXI RetrievedfromBloombergterminal,2016 – CAPMassetallocation(see worksheetformore detail) Name of equity CAPM Beta Risk Free Rate Expec ted Mark et Retur n Mark et Risk Premi um weigh t Amount Allocated Annualize d Holding Period Return Amazon .com INC. - (AMZN) 10.55% 1.147 1.84 % 9.43% 7.59% 14.16 % $2,494,99 4.61 $2,758,19 9.52 Tesla Motors Inc. - (TSLA) 11.22% 1.235 1.84 % 9.43% 7.59% 15.06 % $2,654,27 9.70 $2,952,02 5.91 Netflix,Inc. - (NFLX) 12.44% 1.396 1.84 % 9.43% 7.59% 16.70 % $2,942,20 8.40 $3,308,22 5.72 Walt DisneyCo. - (DIS) 10.22% 1.103 1.84 % 9.43% 7.59% 13.71 % $2,415,96 8.88 $2,662,76 4.50 IMAX Corp. (USA) - (IMAX) 7.27% 0.715 1.84 % 9.43% 7.59% 9.75% $1,719,10 5.66 $1,844,06 2.46 SuperCom Ltd. - (SPCB) 0.46% -0.181 1.84 % 9.43% 7.59% 0.62% $109,854. 50 $110,364. 76 Total Expected Return From Equity = 7.37% 70.00 % $12,336,4 11.75 $13,635,6 42.87 Name of Bond Mid YTM @ March 31st, 2015 Beta Risk Free Rate Expec ted Mark et Retur n Mark et Risk Premi um weigh t Amount Allocated Annualize d Holding Period Return Riverrock Entertainm ent(River9 11/01/18) 1678.61% 1.558 1.84 % 9.43% 7.59% 6.00% $1,057,39 2.00 $18,806,9 01.00 Tesla Motors Inc. (TSLA 1 ¼ 03/01/21) 4.46% 0.959 1.84 % 9.43% 7.59% 6.00% $1,057,39 2.00 $1,104,57 2.83
  • 63. 62 Sears Roebuck Acceptance Corp. (SHLD 6 ½ 12/01/28 Corp) 12.12% 0.432 1.84 % 9.43% 7.59% 4.00% $704,928. 00 $790,337. 08 Toys R Us (TOY7 ⅜ 10/15/18 Corp) 20.97% 0.547 1.84 % 9.43% 7.59% 4.00% $704,928. 00 $852,737. 30 Alcatel- LucentUSA Inc. (ALUFP 6 ½ 01/15/28 Corp) 6.50% -0.014 1.84 % 9.43% 7.59% 5.00% $881,160. 00 $938,435. 40 Rite Aid Corp.(RAD 7.7 02/15/27 Corp) 5.71% 0.191 1.84 % 9.43% 7.59% 5.00% $881,160. 00 $931,438. 99 Total Expected Return From Bonds= 102.92% 30% $5,286,96 0.00 $23,424,4 22.60 Portfolio Metrics= 110.2903770356 98000% 1.00031 5108 100.0 0% $37,060,0 65.47 Expected Monthly Return From Portfolio= 6.39%
  • 64. 63 Appendix XXXXII RetrievedfromBloombergterminal,2016 – portfoliovariance User Name Portfolio As-of Date Currency Risk Model Horizon Confidence Level Reporting Units SD (Sqrt of VaR) VaR (MC) CVaR (MC) MKT VAL Pos %Wgt Portfolio 4.195235393 17.60 23.65 38,176.89 100.00 Bonds 1.664331698 2.77 3.71 10,500.31 27.50 ALUFP 6 ½ 01/15/28 1.272792206 1.62 2.20 5,112.36 5,000.00 13.39 RIVER 9 11/01/18 0 180.26 6,000.00 0.47 SHLD 6 ½ 12/01/28 1.019803903 1.04 1.41 2,361.67 4,000.00 6.19 TOY 7 ⅜ 10/15/18 1.109053651 1.23 1.64 2,846.03 4,000.00 7.45 Consumer Discretionary 4.159326869 17.30 23.03 21,790.83 57.08 AMAZON.COM INC 2.387467277 5.70 7.60 5,242.81 14.16 13.73 IMAX CORP 0.574456265 0.33 0.45 326.92 9.75 0.86 NETFLIX INC 3.264965543 10.66 14.28 6,899.10 16.70 18.07 TESLA MOTORS INC 2.114237451 4.47 5.93 2,825.11 15.06 7.40 TSLA 1 ¼ 03/01/21 1.766352173 3.12 4.32 5,051.31 6,000.00 13.23 WALT DISNEY CO/THE 0.979795897 0.96 1.27 1,445.58 13.71 3.79 Consumer Staples 1.526433752 2.33 3.19 5,880.44 15.40 RAD 7.7 02/15/27 1.526433752 2.33 3.19 5,880.44 5,000.00 15.40 Information Technology 0.141421356 0.02 0.02 5.30 0.01 SUPERCOM LTD 0.141421356 0.02 0.02 5.30 0.62 0.01 Returns (%) Detail The BLOOM BERG PROFESSIONAL service, BLOOM BERG Data and BLOOM BERG Order M anagement Systems (the 'Services') are owned and distributed locally by Bloomberg Finance L.P. ('BFLP') and its subsidiaries in all jurisdictions other than Argentina, Bermuda, China, India, Japan and Korea (the 'BLP Countries'). BFLP is a wholly-owned subsidiary of Bloomberg L.P. PORT VaR Report: VaR Summary W330135 W330135 IMAX AND SPCB 4/1/2015 USD Bloomberg Risk Model (Regional) 1 year (252 days) (Scaled 1D) 0.95
  • 65. 64 Appendix XXXXIII RetrievedfromBloombergterminal –descriptionof riverrockentertainmentbond River 9 (11/01/18) Bond Rating: NR Pricing Source: TRAC ID : EI850976 Corp Holding Period Date PX_LAST (USD) Week 4 01/05/2015 9.500 24/04/2015 5.621 Percentage Change 69.009% Week 3 24/04/2015 5.621 17/04/2015 7 Percentage Change -19.700% Week 2 17/04/2015 7.000 10/04/2015 7.725 Percentage Change -9.385% Week 1 10/04/2015 7.725 03/04/2015 3.5 Percentage Change 120.714286% Monthly Return (P1-P0)/P0 171.43% Annualilzed (P1-P0)/P0*12 2057.1429% Risk Measures duration Not Reported convexity Not Reported
  • 66. 65 Appendix XXXXIV RetrievedfromBloombergterminal –Netflixweeklyperformance Netflix US Equity Ticker: NFLX Holding Period Date Price £(GBP) Week 4 01/05/2015 79.576 24/04/2015 79.771 Percentage Change -0.24% Week 3 24/04/2015 79.771 17/04/2015 81.65 Percentage Change -2.30% Week 2 17/04/2015 81.65 10/04/2015 64.939 Percentage Change 25.73% Week 1 10/04/2015 64.939 03/04/2015 59.154 Percentage Change 9.78% Monthly Return (P1-P0)/P0 34.52% Annualized (P1-P0)/P0*12 414% Risk Measurements E(R) (CAPM- Annualized*) 12.44% VAR (04/01/15 - 05/01/15) 0.016383106 STDEV (04/01/15 - 05/01/15) 0.127996509 *Refer to CAPMAsset Allocation Worksheet for Equation and Inputs
  • 67. 66 Appendix XXXXV RetrievedfromBloombergterminal –Amazonweeklyperformance Amazon US Equity Ticker: AMZN Holding Period Date PX_LAST (USD) Week 4 01/05/2015 422.87 24/04/2015 445.1 Percentage Change -4.99% Week 3 24/04/2015 445.1 17/04/2015 375.56 Percentage Change 18.52% Week 2 17/04/2015 375.56 10/04/2015 382.65 Percentage Change -1.85% Week 1 10/04/2015 382.65 03/04/2015 372.25 Percentage Change 2.79% Monthly Return (P1-P0)/P0 13.60% Annualized (P1-P0)/P0*12 163.18% Risk Measurements E(R) (CAPM- Annualized*) 10.55% VAR (04/01/15 - 05/01/15) 0.010891453 STDEV (04/01/15 - 05/01/15) 0.104362125
  • 68. 67 Appendix XXXXVI RetrievedfromBloombergterminal,2016 –calculatedinexcel (Alphaandtrackingerror) Alpha = Rp - [Rf + (Rm - Rf)*B] 23.17686 Where : Rp = Realized return of portfolio Rm = Market return 18.88 Rf = Risk-free rate B = Beta Rf = 1.84 (See CAPM Asset Allocation worksheet) Monthly Rf = 1.84^(1/12)-1 0.052126967 Monthly Rm = 2.0925 (See graph on left) Rp = 25.27 (See portfolio summary) Beta = 1.000315108 (See CAPM Asset Allocation worksheet) Expected monthly return of portfolio = 6.39% Simple Tracking Error = X-Y Where: 23.18 X = return of portfolio 4.724757 Y = Return of benchmark Advanced Tracking Error = SQRT(Σ(XI-YI)^2/(N-1) Where: N = number of periods X = return of portfolio Y = Return of benchmark *calculated using 4 weekly periods and using weekly returns of benchmark and portfolio Excess return of portfolio when compared to expected return = Tracking Error using Stdev* = Tracking Error using returns = Alpha of portfolio = Actual Weekly returns Portfolio S&P500 4.97% 1.71% 6% -1% 2.50% 1.70% 6.40% -0.04% Covariance of Portfolio and S&P500 = 0.0002- STDEV = 0.017518 0.013431 Correlation Coefficient = -0.74808