SlideShare a Scribd company logo
Patrick Hsiang
Tuesday, August 8, 2017
Portfolio concerning:
GOOG, APPL, FB, NVDA, MSFT, INTC
The InfoTech6 Portfolio
1
Agenda
2
 For Whom, Why, and How
 Industry Background
 Our Portfolio
 The Six Companies
 Portfolio Composition
 Risks
 Conclusion
For Whom, Why and How
3
For Whom?
4
 Passive, institutional investors seeking stable,
long-term growth
 Individual investors new to investing in Tech,
interested in a portfolio with brand names
 Growth-oriented investors looking for a long
position
Why Technology?
5
First, why no to tech?
 “trade big payoff for certain payoff” – Warren
Buffet
 Avoid tech stocks that have high valuations and
difficult to understand business models – Peter
Lynch
 Dot-com Bust – high valuation, no profit-
generation
---------------------------------------------------------------------
----
Caveat:
 Nasdaq 100 outperform S&P 500: 150% vs 65%
from 2006 to 2016
How was this created?
6
Key vocab:
 Minimum variance:
portfolio has assets that are risky on their own, but
have lower risk when pooled together, given an
expected return
 Beta:
volatility of an asset’s value compared to market as
a whole
 Alpha:
excess return of an asset compared to a benchmark
index
Looking Ahead
7
 3 Core Areas of Competition:
1. Intelligent Analytics – predictive analysis
2. Intelligent Process – better functionality used
automatic response
3. Intelligent User Experience – system adapts to
user preferences
 More focus on data center and cloud
 Nvidia: 206% data center revenue growth Q1 2017
 Intel: 7% decline in Client Computing (Chips,
processors), 15% growth in cloud and data center in
2016
Industry Background
8
Decline of the PC Market
9
 Increase of 30% more sales in 2010, decrease to
10% less in 2016
Rise of Mobile Devices
10
 Developing nations buy more smartphones
 1.5 billion unit sales worldwide in 2016
New products on the way
11
Companies are adjusting to meet this change:
 New Technologies:
 self-driving cars
 Waymo
 More AI assistants
 Siri, Google Assistant, Cortana
 Machine learning/deep learning
 Core ML, Pixel,
“More recently, scientists working in a new field of AI called deep learning, discovered th
critical to creating algorithms that enable computers to learn from experience and data,
similar to how the human brain works. In a short period of time, AI algorithms rapidly ou
code written manually by programmers. As a result, deep learning has become a strate
for companies across many industries.”
-Rob Csongor, Nvidia VP,
Testimony to US Senate, 6/4/2017
Our Portfolio: The Six Companies
12
How we chose our Companies
13
1. Market Capitalization in Core Business
2. Consistent or Increasing ROI (shown below)
Company June 30,
2016
Sept. 30,
2016
Dec. 31,
2016
Mar. 31,
2017
Apple 23.25% 21.29% 18.82% 18.57%
Alphabet 13.7% 14% 13.78% 14.01%
Microsoft 23.33% 23.57% 24.37% 25.55%
Nvidia 16.31% 20.26% 26.23% 27.17%
Intel 11.43% 11.45% 11.22% 12.01%
Facebook 12.24% 14.35% 18.28% 19.69%
Company – Google/Alphabet
14
Strategy:
 Closed-system profit generation
 All products are inter-connected; found by ads
 Uses cutting-edge lead as competitive advantage
 Multiple new products in a variety of fields
Risks:
 Concentration of revenue from ads in Search and
Youtube; about $67 billion out of $89 billion or 75%
in 2016
 New products not major successes; Google Home,
Google+
 Fault for regulation; EU fine for $2.7 billion
Company - Apple
15
Strategy
 Unique devices and apps; strong branding
advantage
 All major products connected to digital content
platforms
 iMac, iPhone, iPad, Apple TV
 Self-operated stores to enhance customer
experience
Risks
 Dependent on foreign manufacturing and logistics
 Main market in smartphones highly competitive,
requiring frequent new introductions
Company - Nvidia
16
Strategy:
 Strong advantage due to leader in and creator of
GPU applications
 Sales team highly technical and manages network
of users whose responses are collected for future
feature releases
Risks:
 Reliant on small number of customers for 67% of
revenue
 Sales model reliant on “design wins” competitions in
order for products to be used
Company - Facebook
17
Strategy:
 Competitive advantage is strong brand and ability to
retain and gain more Monthly Average Users (MAU)
 Collection of user data and activities, and sale of
data to advertisers for targeted ads on News Feed
 Buying out rival social media sites and producers
Risks:
 Reliance on ad revenue; 97% in Q1 2017
 Digital content producers do not like loss of control
over placement and timing of their ads
 2013: Nissan pulls ads after finding them on Pages making
fun of sexual violence
Company - Microsoft
18
Strategy:
 Competitive advantage in branding and product
diversity
 Move away from PC, towards cloud and Office
products
 Restructure into 3 main divisions:
1. Productivity/Business - Office
2. Cloud/Intelligent AI – Azure and Enterprise Services,
3. Personal – Windows OS, Xbox, Windows Phone
Risks:
 Transition to mobile/cloud is costly, competing with
free products
 New products and acquisitions not successful
Company - Intel
19
Strategy:
 Virtuous Circle of Growth:
 Smart “things” need cloud/data center products, which leads
to new :things”
 Reorganization into 6 new divisions
 Acquisition of current leading companies
 Mobileye purchased in June 2017
Risks:
 55% revenue from PC-related chips and
processors, declining
 New product areas already have established
heavyweights
Our Portfolio: Composition and
Comparison
20
Our Portfolio: Broken Down
21
7.79%
19.78%
21.01%24.21%
20.21%
7.00%
Nvidia
Apple
Intel
Our Portfolio: In Comparison
22
Name 1 year returns 5 year
returns
InfoTech 6 (5-year rtn expected) 41.31% 206.55%
S&P North American Technology Sector
Index 22.41% 56.18%
iShares North American Tech ETF 70.36% 144.90%
First Trust Dow Jones Internet Index Fund
67.95% 182.18%
First Trust Nasdaq-100 Technology Sector
Index Fund 68.82% 172.61%
Vanguard Information Technology ETF
58.41% 128.19%
Our Portfolio: Dissecting the Comparisons
23
 Lagging on 1 year forecast; very strong in 5 year
expected returns
Why the lag?
 Intel and Apple growth slowing down; Intel stock
value grew 7.69% last year
Historical Performance – excluding
GOOG
24
0
20
40
60
80
100
120
140
160 6/1/2012
10/1/2012
2/1/2013
6/1/2013
10/1/2013
2/1/2014
6/1/2014
10/1/2014
2/1/2015
6/1/2015
10/1/2015
2/1/2016
6/1/2016
10/1/2016
2/1/2017
Apple
Microsoft
Intel
Facebook
Nvidia
Nvidia and Facebook lead in Portfolio growth,
with Nvidia gaining >200% returns in 2016
Historical Performance
25
0
100
200
300
400
500
600
700
800
900
6/1/2012
10/1/2012
2/1/2013
6/1/2013
10/1/2013
2/1/2014
6/1/2014
10/1/2014
2/1/2015
6/1/2015
10/1/2015
2/1/2016
6/1/2016
10/1/2016
2/1/2017
Apple
Microsoft
Intel
Facebook
Nvidia
Google
Shows why portfolio is composed more of Microsoft and Intel
– stability of value
Portfolio Risks – General to Specific
26
 Susceptible to general market conditions
 Growth stocks may be subject to earnings
disappointments
 Value Stocks may not recover
 Concentrated industry and small amount of
components means greater risk from “undiversified”
status
 short product cycles or technological obsolescence,
downward competitive pressures, or changes in
regulation
Conclusion
27
Conclusion
28
 Intelligent analysis, intelligent process, intelligent
UE becoming the future focus
 Growth in cloud, data center, and ML products will
drive growth  more returns from mobile devices
and supporting infrastructure
Recommendation: BUY AND HOLD

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InfoTech 6 Portfolio Presentation

  • 1. Patrick Hsiang Tuesday, August 8, 2017 Portfolio concerning: GOOG, APPL, FB, NVDA, MSFT, INTC The InfoTech6 Portfolio 1
  • 2. Agenda 2  For Whom, Why, and How  Industry Background  Our Portfolio  The Six Companies  Portfolio Composition  Risks  Conclusion
  • 3. For Whom, Why and How 3
  • 4. For Whom? 4  Passive, institutional investors seeking stable, long-term growth  Individual investors new to investing in Tech, interested in a portfolio with brand names  Growth-oriented investors looking for a long position
  • 5. Why Technology? 5 First, why no to tech?  “trade big payoff for certain payoff” – Warren Buffet  Avoid tech stocks that have high valuations and difficult to understand business models – Peter Lynch  Dot-com Bust – high valuation, no profit- generation --------------------------------------------------------------------- ---- Caveat:  Nasdaq 100 outperform S&P 500: 150% vs 65% from 2006 to 2016
  • 6. How was this created? 6 Key vocab:  Minimum variance: portfolio has assets that are risky on their own, but have lower risk when pooled together, given an expected return  Beta: volatility of an asset’s value compared to market as a whole  Alpha: excess return of an asset compared to a benchmark index
  • 7. Looking Ahead 7  3 Core Areas of Competition: 1. Intelligent Analytics – predictive analysis 2. Intelligent Process – better functionality used automatic response 3. Intelligent User Experience – system adapts to user preferences  More focus on data center and cloud  Nvidia: 206% data center revenue growth Q1 2017  Intel: 7% decline in Client Computing (Chips, processors), 15% growth in cloud and data center in 2016
  • 9. Decline of the PC Market 9  Increase of 30% more sales in 2010, decrease to 10% less in 2016
  • 10. Rise of Mobile Devices 10  Developing nations buy more smartphones  1.5 billion unit sales worldwide in 2016
  • 11. New products on the way 11 Companies are adjusting to meet this change:  New Technologies:  self-driving cars  Waymo  More AI assistants  Siri, Google Assistant, Cortana  Machine learning/deep learning  Core ML, Pixel, “More recently, scientists working in a new field of AI called deep learning, discovered th critical to creating algorithms that enable computers to learn from experience and data, similar to how the human brain works. In a short period of time, AI algorithms rapidly ou code written manually by programmers. As a result, deep learning has become a strate for companies across many industries.” -Rob Csongor, Nvidia VP, Testimony to US Senate, 6/4/2017
  • 12. Our Portfolio: The Six Companies 12
  • 13. How we chose our Companies 13 1. Market Capitalization in Core Business 2. Consistent or Increasing ROI (shown below) Company June 30, 2016 Sept. 30, 2016 Dec. 31, 2016 Mar. 31, 2017 Apple 23.25% 21.29% 18.82% 18.57% Alphabet 13.7% 14% 13.78% 14.01% Microsoft 23.33% 23.57% 24.37% 25.55% Nvidia 16.31% 20.26% 26.23% 27.17% Intel 11.43% 11.45% 11.22% 12.01% Facebook 12.24% 14.35% 18.28% 19.69%
  • 14. Company – Google/Alphabet 14 Strategy:  Closed-system profit generation  All products are inter-connected; found by ads  Uses cutting-edge lead as competitive advantage  Multiple new products in a variety of fields Risks:  Concentration of revenue from ads in Search and Youtube; about $67 billion out of $89 billion or 75% in 2016  New products not major successes; Google Home, Google+  Fault for regulation; EU fine for $2.7 billion
  • 15. Company - Apple 15 Strategy  Unique devices and apps; strong branding advantage  All major products connected to digital content platforms  iMac, iPhone, iPad, Apple TV  Self-operated stores to enhance customer experience Risks  Dependent on foreign manufacturing and logistics  Main market in smartphones highly competitive, requiring frequent new introductions
  • 16. Company - Nvidia 16 Strategy:  Strong advantage due to leader in and creator of GPU applications  Sales team highly technical and manages network of users whose responses are collected for future feature releases Risks:  Reliant on small number of customers for 67% of revenue  Sales model reliant on “design wins” competitions in order for products to be used
  • 17. Company - Facebook 17 Strategy:  Competitive advantage is strong brand and ability to retain and gain more Monthly Average Users (MAU)  Collection of user data and activities, and sale of data to advertisers for targeted ads on News Feed  Buying out rival social media sites and producers Risks:  Reliance on ad revenue; 97% in Q1 2017  Digital content producers do not like loss of control over placement and timing of their ads  2013: Nissan pulls ads after finding them on Pages making fun of sexual violence
  • 18. Company - Microsoft 18 Strategy:  Competitive advantage in branding and product diversity  Move away from PC, towards cloud and Office products  Restructure into 3 main divisions: 1. Productivity/Business - Office 2. Cloud/Intelligent AI – Azure and Enterprise Services, 3. Personal – Windows OS, Xbox, Windows Phone Risks:  Transition to mobile/cloud is costly, competing with free products  New products and acquisitions not successful
  • 19. Company - Intel 19 Strategy:  Virtuous Circle of Growth:  Smart “things” need cloud/data center products, which leads to new :things”  Reorganization into 6 new divisions  Acquisition of current leading companies  Mobileye purchased in June 2017 Risks:  55% revenue from PC-related chips and processors, declining  New product areas already have established heavyweights
  • 20. Our Portfolio: Composition and Comparison 20
  • 21. Our Portfolio: Broken Down 21 7.79% 19.78% 21.01%24.21% 20.21% 7.00% Nvidia Apple Intel
  • 22. Our Portfolio: In Comparison 22 Name 1 year returns 5 year returns InfoTech 6 (5-year rtn expected) 41.31% 206.55% S&P North American Technology Sector Index 22.41% 56.18% iShares North American Tech ETF 70.36% 144.90% First Trust Dow Jones Internet Index Fund 67.95% 182.18% First Trust Nasdaq-100 Technology Sector Index Fund 68.82% 172.61% Vanguard Information Technology ETF 58.41% 128.19%
  • 23. Our Portfolio: Dissecting the Comparisons 23  Lagging on 1 year forecast; very strong in 5 year expected returns Why the lag?  Intel and Apple growth slowing down; Intel stock value grew 7.69% last year
  • 24. Historical Performance – excluding GOOG 24 0 20 40 60 80 100 120 140 160 6/1/2012 10/1/2012 2/1/2013 6/1/2013 10/1/2013 2/1/2014 6/1/2014 10/1/2014 2/1/2015 6/1/2015 10/1/2015 2/1/2016 6/1/2016 10/1/2016 2/1/2017 Apple Microsoft Intel Facebook Nvidia Nvidia and Facebook lead in Portfolio growth, with Nvidia gaining >200% returns in 2016
  • 26. Portfolio Risks – General to Specific 26  Susceptible to general market conditions  Growth stocks may be subject to earnings disappointments  Value Stocks may not recover  Concentrated industry and small amount of components means greater risk from “undiversified” status  short product cycles or technological obsolescence, downward competitive pressures, or changes in regulation
  • 28. Conclusion 28  Intelligent analysis, intelligent process, intelligent UE becoming the future focus  Growth in cloud, data center, and ML products will drive growth  more returns from mobile devices and supporting infrastructure Recommendation: BUY AND HOLD