The document discusses weaknesses in quantitative models used to analyze hedge funds. It notes that existing models do not adequately account for asymmetric returns, autocorrelation, liquidity issues, and non-linear dependence among hedge funds. It also discusses how the Infiniti Capital Analytics Suite addresses some of these weaknesses through techniques like modified correlation analysis and Cornish-Fisher adjustments to better capture the unique risks of hedge funds.
As investors grow fearful, they sell riskier assets, like stocks, and buy safe haven assets such as U.S. Treasuries and gold. As they grow more confident, they seek higher returns by re-investing in stocks. We designed the Select Directional ETF Model (SD Model) with a simple premise, buy the best performing assets and sell the laggards.
The SD Model begins with eleven strategically selected ETFs, each representing a distinct asset class. The SD Model’s objective ranking system and rebalancing rules ensure the portfolio stays invested in only the three highest ranked ETFs. A white paper containing more information regarding the SD Model is available at http://successfulportfolios.com.
As investors grow fearful, they sell riskier assets, like stocks, and buy safe haven assets such as U.S. Treasuries and gold. As they grow more confident, they seek higher returns by re-investing in stocks. We designed the Select Directional ETF Model (SD Model) with a simple premise, buy the best performing assets and sell the laggards.
The SD Model begins with eleven strategically selected ETFs, each representing a distinct asset class. The SD Model’s objective ranking system and rebalancing rules ensure the portfolio stays invested in only the three highest ranked ETFs. A white paper containing more information regarding the SD Model is available at http://successfulportfolios.com.
Risk and Return Analysis .ppt By Sumon SheikhSumon Sheikh
Risk and return analysis presentation with suitable examples. A perfect class-presentation file.
Prepared by Sumon Sheikh, BBA Student, majoring Accounting and Information Systems at Jatiya Kabi Kazi Nazrul Islam University, Trishal, Mymensingh-2224, Bangladesh.
We are a Quantitative investment group committed to revolutionize the fund management industry in the country. We are using pure quant technique to create a zero loss fund (the fund will always be positive) i.e; all of your losses (if any) will be insured.
Risk and Return Analysis .ppt By Sumon SheikhSumon Sheikh
Risk and return analysis presentation with suitable examples. A perfect class-presentation file.
Prepared by Sumon Sheikh, BBA Student, majoring Accounting and Information Systems at Jatiya Kabi Kazi Nazrul Islam University, Trishal, Mymensingh-2224, Bangladesh.
We are a Quantitative investment group committed to revolutionize the fund management industry in the country. We are using pure quant technique to create a zero loss fund (the fund will always be positive) i.e; all of your losses (if any) will be insured.
Use our Funds Analysis PowerPoint Presentation Slides for investment planning and analysis. Funds management PowerPoint complete deck contains ready to use slides such as introduction to investment, objectives of portfolio management, types of investment, market scenario overview, investment instruments, analysis and valuation of equity securities, industry analysis, financial statement analysis, balance sheet, company cash flow statement, major market issues, technical analysis, instruments in special situations, fixed income and leveraged securities, top performing bonds, bond valuation estimation, dividend reinvestment risk table, options analysis, types of convertible securities, different warrant categories, derivative products, put and call options, mutual funds investment, investment in real estate, real estate classification, portfolio management KPIs and many more. Showcase recent global security market trends with this content ready investment analysis PPT visuals. You can also present investment criteria based on equity, fixed income and money market using investment management presentation design. Download the investment strategies and portfolio analysis to present investment risk and return analysis.
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Moderna, Inc., a biotechnology company, discovers, develops, and commercializes messenger RNA therapeutics and vaccines for the treatment of infectious diseases, immuno-oncology, rare diseases, cardiovascular diseases.
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Through examining their nature and mechanisms, identifying their spin-offs and analyzing their performance, this presentation is designed to discuss what to look out for when conduct due diligence on different hedge fund strategies.
MRNA Stock Forecast & Price:
Based on the Moderna Inc stock forecast from 7 analysts, the average analyst target price for Moderna Inc is USD 147.44 over the next 12 months. Moderna Inc’s average analyst rating is Under-perform. Stock Target Advisor’s own stock analysis of Moderna Inc is Bullish , which is based on 10 positive signals and 4 negative signals. At the last closing, Moderna Inc’s stock price was USD 123.42. Moderna Inc’s stock price has changed by +2.01% over the past week, -13.26% over the past month and -59.52% over the last year.
Similar to Quantitative methods in Hedge Fund of Fund ( HFOF ) construction ( Dec 2009 ) (20)
In this presentation we look at Hedge Funds from a theoretical and empirical viewpoint and confirm their risk reducing characteristics in the South African context.
KnowRisk analysis of KiwiSaver Funds ( June 2015 )Peter Urbani
This presentation provides a brief overview and analysis of the range and dispersion of KiwiSaver Fund risks and returns for the 5 years to end June 2015.
Herewith an update of some research of mine on the relative performance of Emerging or Early Stage Hedge funds versus that of their older typically larger brethren. Given the recent announcement by CalPERS that they are withdrawing from hedge funds I thought it might be germane to show that notwithstanding CalPERS exit there remain some signs of life for hedge funds yet.
Why distributions matter ( 20 dec 2013 )Peter Urbani
Presentation on deficiencies of the Cornish Fisher modification to the Normal distribution and also on some Best Fit distributions including Gumbel, Johnson Family, Mixture of Normals, Skew-T, 3-Parameter Lognormal etc. Also includes bi-variate Best Fit Copula correlation with applications to Pairs Trading.
Yes of course, you can easily start mining pi network coin today and sell to legit pi vendors in the United States.
Here the what'sapp contact of my personal vendor.
+12349014282
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Turin Startup Ecosystem 2024 - Ricerca sulle Startup e il Sistema dell'Innov...Quotidiano Piemontese
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Abhay Bhutada Leads Poonawalla Fincorp To Record Low NPA And Unprecedented Gr...Vighnesh Shashtri
Under the leadership of Abhay Bhutada, Poonawalla Fincorp has achieved record-low Non-Performing Assets (NPA) and witnessed unprecedented growth. Bhutada's strategic vision and effective management have significantly enhanced the company's financial health, showcasing a robust performance in the financial sector. This achievement underscores the company's resilience and ability to thrive in a competitive market, setting a new benchmark for operational excellence in the industry.
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Understanding how timely GST payments influence a lender's decision to approve loans, this topic explores the correlation between GST compliance and creditworthiness. It highlights how consistent GST payments can enhance a business's financial credibility, potentially leading to higher chances of loan approval.
where can I find a legit pi merchant onlineDOT TECH
Yes. This is very easy what you need is a recommendation from someone who has successfully traded pi coins before with a merchant.
Who is a pi merchant?
A pi merchant is someone who buys pi network coins and resell them to Investors looking forward to hold thousands of pi coins before the open mainnet.
I will leave the what'sapp contact of my personal pi merchant to trade with
+12349014282
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how to sell pi coins effectively (from 50 - 100k pi)DOT TECH
Anywhere in the world, including Africa, America, and Europe, you can sell Pi Network Coins online and receive cash through online payment options.
Pi has not yet been launched on any exchange because we are currently using the confined Mainnet. The planned launch date for Pi is June 28, 2026.
Reselling to investors who want to hold until the mainnet launch in 2026 is currently the sole way to sell.
Consequently, right now. All you need to do is select the right pi network provider.
Who is a pi merchant?
An individual who buys coins from miners on the pi network and resells them to investors hoping to hang onto them until the mainnet is launched is known as a pi merchant.
debuts.
I'll provide you the what'sapp number.
+12349014282
What price will pi network be listed on exchangesDOT TECH
The rate at which pi will be listed is practically unknown. But due to speculations surrounding it the predicted rate is tends to be from 30$ — 50$.
So if you are interested in selling your pi network coins at a high rate tho. Or you can't wait till the mainnet launch in 2026. You can easily trade your pi coins with a merchant.
A merchant is someone who buys pi coins from miners and resell them to Investors looking forward to hold massive quantities till mainnet launch.
I will leave the what's app number of my personal pi vendor to trade with.
+12349014282
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Quantitative methods in Hedge Fund of Fund ( HFOF ) construction ( Dec 2009 )
1. Quantitative methods in Hedge Fund of Fund construction By Peter Urbani, CIO Infiniti-Capital
2. Weaknesses of models used to analyse Hedge Funds “ Models currently used to analyze hedge funds generally display a number of major weaknesses: The models do not pay sufficient attention to the asymmetry of hedge fund returns (hedge funds returns are not normally distributed). VaR type models therefore do not measure risk accurately. The models do not correct for the presence of widespread auto-correlation causing significant understatement of volatility of hedge fund returns. Benchmarks used are not often significant resulting in spurious comparisons. The models do not consider the impact of asymmetry on dependence measures such as correlation. The models do not consider the persistence of any alpha. The models generally seek to condense all of the relevant detail into one single standardized comparative number that is frequently meaningless. The weaknesses in existing models mean that the unique characteristics of hedge funds and risks are not captured.” Satyajit Das Author of Traders Guns and Money – p28, Wilmott Magazine August 2007
3.
4. Hedge Funds v.s. Hedged Funds A Perfectly ‘Hedged’ fund Fund Returns -ve Equity Returns +ve
5.
6. ‘ Perfect ’ vs. MSCI Daily TR Gross World Free USD, for 31-Jan-93 to 31-Mar-07 Note Asymmetric payoff
7. Avg HF vs. MSCI Daily TR Gross World Free USD, for 31-Jan-93 to 31-Mar-07 Note Asymmetric payoff
8. Less than 12% of Hedge Funds ‘Normally’ distributed Based on analysis of 5400 Hedge Fund distributions
9.
10. (i)Liquidity a Source of Alpha ? Relationship between liquidty and Returns Our research indicates that longer lock-ups are compensated for by additional alpha of 300 – 400bp per annum
11.
12. Infiniti SFA Risk score Amaranth First Warning signal 31 May 2005 Second Warning signal 30 April 2006 Outright Sell signal 31 May 2006
13. Significant deviation as distribution type changes in April / May 2005 Infiniti ‘Best Fit’ Value at Risk (VaR) Amaranth
14. Analysis of Classic Correlation (top Right Quadrant) and Modified Correlation (bottom Left Quadrant) of sample Portfolio 0.486 0.428 0.548 0.313 0.238 0.589 0.601 0.470 0.387 0.476 0.553 0.695 0.306 0.249 Fund 1 vs Fund 2 0.629 Fund 1 vs Fund 3 0.651 Fund 1 vs Fund 4 0.629 Fund 1 vs Fund 5 0.633 Fund 2 vs Fund 3 0.537 Fund 2 vs Fund 4 Fund 2 vs Fund 5 Fund 3 vs Fund 4 Fund 3 vs Fund 5 Fund 4 vs Fund 5 0.357 0.522 Portfolios 95% Normal VaR = -0.77% Portfolios 95% Modified VaR = -0.82% Fund 1 Fund 2 Fund 3 Fund 4 Fund 5 Fund 1 1 0.629 0.651 0.357 0.633 Fund 2 1 0.537 0.486 0.428 Fund 3 1 0.548 0.313 Fund 4 1 0.238 Fund 5 1 0.589 0.601 0.470 0.387 0.476 0.553 0.695 0.522 0.306 0.249
15. Linear Analysis of sample Portfolio 0.486 0.428 0.548 0.313 0.238 Fund 1 vs Fund 2 0.629 Fund 1 vs Fund 3 0.651 Fund 1 vs Fund 4 0.629 Fund 1 vs Fund 5 0.633 Fund 2 vs Fund 3 0.537 Fund 2 vs Fund 4 Fund 2 vs Fund 5 Fund 3 vs Fund 4 Fund 3 vs Fund 5 Fund 4 vs Fund 5 0.357 Portfolios 95% Normal VaR = -0.77% Pearson Correlation Fund Name Mean StDev Fund 1 0.84% 0.89% Fund 2 0.80% 0.86% Fund 3 1.04% 1.78% Fund 4 1.33% 2.26% Fund 5 0.64% 1.01% Sample Portfolio 0.93% 1.03% VaR cVaR -0.62% -0.99% -0.62% -0.98% -1.89% -2.63% -2.39% -3.34% -1.03% -1.45% -0.77% -1.21% Normal/Gaussian Descriptives and VaRs Mean Contributor StDev Contributor nVaR Contributor 18.18% 13.15% -0.06% 17.17% 11.32% -0.03% 22.32% 28.56% -0.28% 28.60% 35.20% -0.33% 13.72% 11.78% -0.07% 100.00% 100.00% -0.77% Fund Name Fund 1 Fund 2 Fund 3 Fund 4 Fund 5 Sample Portfolio Attribution of Portfolio Descriptives Normal “ Type” Diversifier Diversifier High Return High Return Diversifier
16. Non-Linear Analysis of sample Portfolio Fund 1 vs Fund 2 Fund 1 vs Fund 3 Fund 1 vs Fund 4 Fund 1 vs Fund 5 Fund 2 vs Fund 3 Fund 2 vs Fund 4 Fund 2 vs Fund 5 Fund 3 vs Fund 4 Fund 3 vs Fund 5 Fund 4 vs Fund 5 Portfolios 95% Modified VaR = -0.82% Modified Correlation 0.589 0.601 0.470 0.387 0.476 0.553 0.695 0.306 0.249 0.522 Fund Name “ Mod SD” Skew Kurtosis Fund 1 0.84% 0.75% 0.458 6.619 Fund 2 0.80% 0.95% -0.685 0.634 Fund 3 1.04% 1.68% 0.150 2.425 Fund 4 1.33% 2.00% 0.549 1.408 Fund 5 0.64% 1.26% -4.041 21.616 Sample Portfolio 0.93% 1.06% -0.254 1.160 VaR cVaR Modified/Cornish Fisher Descriptives and VaRs Mean Attribution of Portfolio Descriptives Mean Contributor “ Mod SD” Contributor mVaR Contributor 18.18% -0.06% 17.17% -0.06% 22.32% -0.27% 28.60% -0.32% 13.72% -0.11% 100.00% 100.00% -0.82% Fund Name Fund 1 Fund 2 Fund 3 Fund 4 Fund 5 Sample Portfolio 13.32% 12.54% 26.95% 33.48% 13.72% Skew Contributor Kurt Contributor 17.90% 15.59% 39.94% 9.56% -10.79% 25.72% -6.34% 33.45% 59.28% 15.67% 100.00% 100.00% Diversifier Diversifier High Return High Return Diversifier Normal “ Type” Attempts to address the non-linear dependence of hedge funds by coming up with an analogue or ‘modified’ correlation matrix using the additional co-skewness and co-kurtosis matrices. This allows for a better understanding of the underlying risk factors within the portfolio -0.38% -1.52% -0.77% -1.27% -1.73% -3.05% -1.96% -2.90% -1.44% -2.75% -0.82% -1.49%
17. Comparison of Normal and Modified Distributions Fatter Tails Negatively Skewed Normal Modified 95% VaR -0.77% -0.82% 99% VaR -1.48% -1.93%
18. Putting it all together – The Infiniti Capital Analytics Suite (IAS)
44. Can be used to build portfolios with any shape distribution
45. DISCLAIMER: This presentation is by Infiniti Capital AG, the Investment Manager of The Infiniti Capital Trust and its portfolio’s. Application for shares can only be made on the basis of the current Prospectuses. The Funds are unregulated collective investment schemes in the UK and Switzerland and their promotion by authorised persons in the UK is restricted by the Financial Services and Markets Act 2000. The price of shares and the income from them can go down as well as up and the value of an investment can fluctuate in response to changes in exchange rates. The following information is intended for institutional investors who are accredited investors and qualified purchasers under the securities laws. Investment in the Fund involves special considerations and risks. There can be no assurance that the Fund’s investment objectives will be achieved. An investment in the Fund is only suitable for sophisticated investors who fully understand and are capable of assuming the risk of an investment in the Fund. Multi Manager Multi Strategy Fund of Funds