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Three Novel Factors Affecting Hedge Fund Returns_CDMC (May 2016)
1. THREE NOVEL FACTORS
AFFECTING HEDGE FUND
RETURNS
China Derivatives Market Conference (CDMC)
May 20, 2016 – Suzhou, China
L. Mick Swartz (PhD, CAIA)
University of Southern California
Marshall School of Business
* Special thanks to my research assistant, Farrokh Emami Langroodi
2. Presentation Outline
Conceptual Introduction to Three New Ratios
Drawdown and Run-up Variables Graphical Illustration
L-Ratio as a Liquidity Factor
R-Ratio as a Momentum Factor
D-Ratio as an Average Downside Risk Factor
Fung & Hsieh Seven-Factor Model
Data Collection, Model Estimation & Diagnostics
3. Presentation Outline – continue
Empirical Results
Global Macro Strategies
Emerging Market Strategies
Asia Regional Strategies
Equity Hedge Strategies
Relative Value Strategies
Event Driven Strategies
Europe Regional Strategies
Final Remarks
4. Conceptual Introduction to Three New Ratios
The three new ratios are generated with hedge fund strategy’s monthly
excess return in the numerator, as is the case for traditional asset
allocation ratios such as Sharpe ratio.
The denominator of these ratios includes risk factors that are considered
to be more relevant and vital for hedge fund industry, such as
Drawdown, Run-up, and their corresponding magnitude, duration, and
velocity, as opposed to Std. Dev., Beta etc.
1) L-Ratio is used as a Liquidity factor, i.e. how long (no. of months) it
takes the return of hedge fund to recover from it’s highest fall as the risk
factor
2) R-Ratio is used as a Momentum factor, i.e. how fast the hedge fund
return rises from it’s last drop as the risk factor
3) D-Ratio is used as an Average Drawdown% (Downside Risk) factor, i.e.
the average drawdown% per month as the risk factor
6. L-Ratio as a Liquidity Factor
L-Ratio as a Liquidity Factor
𝐿 − 𝑅𝑎𝑡𝑖𝑜 =
𝐻𝑒𝑑𝑔𝑒 𝐹𝑢𝑛𝑑 𝑒𝑥𝑐𝑒𝑠𝑠 𝑟𝑒𝑡𝑢𝑟𝑛
𝐿𝑖𝑞𝑢𝑖𝑑𝑖𝑡𝑦 𝑅𝑖𝑠𝑘 𝐹𝑎𝑐𝑡𝑜𝑟
=
𝐻𝑒𝑑𝑔𝑒 𝐹𝑢𝑛𝑑 𝑅𝑒𝑡𝑢𝑟𝑛 − 3 𝑀𝑜𝑛𝑡ℎ 𝐿𝐼𝐵𝑂𝑅 𝑟𝑎𝑡𝑒
𝑀𝑎𝑥. 𝐷𝑟𝑎𝑤𝑑𝑜𝑤𝑛′ 𝑠 𝐷𝑢𝑟𝑎𝑡𝑖𝑜𝑛
7. R-Ratio as a Momentum Factor
R-Ratio as a Momentum Factor
𝑅 − 𝑅𝑎𝑡𝑖𝑜 =
𝐻𝑒𝑑𝑔𝑒 𝐹𝑢𝑛𝑑 𝑒𝑥𝑐𝑒𝑠𝑠 𝑟𝑒𝑡𝑢𝑟𝑛
𝑀𝑜𝑚𝑒𝑛𝑡𝑢𝑚 𝑅𝑖𝑠𝑘 𝐹𝑎𝑐𝑡𝑜𝑟
=
𝐻𝑒𝑑𝑔𝑒 𝐹𝑢𝑛𝑑 𝑅𝑒𝑡𝑢𝑟𝑛 − 3 𝑀𝑜𝑛𝑡ℎ 𝐿𝐼𝐵𝑂𝑅 𝑟𝑎𝑡𝑒
|𝑀𝑎𝑥. 𝑅𝑢𝑛𝑢𝑝′ 𝑠 𝑉𝑒𝑙𝑜𝑐𝑖𝑡𝑦|
8. D-Ratio as an Average Downside Risk Factor
D-Ratio as an Average Downside Risk Factor
𝐷 − 𝑅𝑎𝑡𝑖𝑜 =
𝐻𝑒𝑑𝑔𝑒 𝐹𝑢𝑛𝑑 𝑒𝑥𝑐𝑒𝑠𝑠 𝑟𝑒𝑡𝑢𝑟𝑛
𝐷𝑜𝑤𝑛𝑠𝑖𝑑𝑒 𝑅𝑖𝑠𝑘 𝐹𝑎𝑐𝑡𝑜𝑟
=
𝐻𝑒𝑑𝑔𝑒 𝐹𝑢𝑛𝑑 𝑅𝑒𝑡𝑢𝑟𝑛 − 3 𝑀𝑜𝑛𝑡ℎ 𝐿𝐼𝐵𝑂𝑅 𝑟𝑎𝑡𝑒
|𝑀𝑎𝑥. 𝐷𝑟𝑎𝑤𝑑𝑜𝑤𝑛 % 𝑀𝑎𝑥. 𝐷𝑟𝑎𝑤𝑑𝑜𝑤𝑛′ 𝑠 𝐷𝑢𝑟𝑎𝑡𝑖𝑜𝑛|
9. Fung & Hsieh Seven-Factor Model
Fung & Hsieh 7-Factor Model Variables*:
1) S&P500: Standard & Poor's 500 stock return.
2) SML: Russell 2000 Small Cap return Russell 1000 Large Cap return
3) T10Y: Month end-to-month end change in the Federal Reserve’s 10 year constant maturity yield.
4) Credit Spread: month end-to-month end change in the difference between Moody’s Baa yield and the
Federal Reserve’s 10 year constant maturity yield.
5) Bd. Opt: return of a portfolio of lookback straddles on bond futures.
6) FX Opt: return of a portfolio of lookback straddles on currency futures.
7) Com. Opt: return of a portfolio of lookback straddles on commodity futures.
Note: if 5,6 or 7 are significant, then GARCH should be implemented.
* Fung, W., Hsieh, D., 2004. Hedge fund benchmarks: a risk-based approach. Financial Analyst Journal
60(5), 65–80.
10. Data Collection, Model Estimation & Diagnostics
Data Collection and Variable Construction
• Monthly return of 55 HFRX hedge fund strategies collected from “HFR Inc.”
• Monthly total return of S&P500 index, CRB index, MSCI World index, Russell
2000 index and Russell 1000 growth and value indices (for SML and HML),
and other countries’ market indices, are collected from “Global Financial Data”.
• 3-month and 12-month LIBOR rates, U.S. 10-year T-Bond and 3-month T-Bill,
and Moody’s Baa Corp. Bond yield for Credit Spread, are collected from
“Federal Reserve Bank of St. Louis”.
• Statistical variables such as Std. Dev., Skew, excess Kurtosis, Sharpe Ratio,
Sortino Ratio, Max. Drawdown percentage, Duration, and Velocity; Max. Run-
up percentage, Duration, and Velocity, and new ratios are calculated and used
as independent variables.
12. Data Collection, Model Estimation & Diagnostics
Model Estimation and Diagnostics
Hedge fund return models are estimated by Ordinary Least Square (OLS)
technique or one of the ARCH family techniques if needed.
To generate robust models, each model is tested and corrected for:
• Stationarity (Augmented Dickey-Fuller Unit Root test, corrected by first differencing),
• Serial-Correlation (Durbin-Watson test, corrected by first order autoregression term),
• Multi-Collinearity (Variance Inflation Factor test < 10, corrected by elimination),
• Conditional Heteroskedasticity (tested and corrected by ARCH, GARCH, or EGARCH
modeling).
• Heteroskedasticity (White test, corrected by Newey–West HAC estimation).
The Akaike information criterion (AIC) and Schwarz information criterion (SIC)
are used for the best model selection, with the SIC favored, as an indicator of the
parsimony model, if there is a disagreement among these indicators.
39. Asia Composite Hedge Fund Index
Dependent Variable: Asia Composite Hedge Fund Index return
Sample Period: January 2004 – December 2014
FH 7-Factor Model CAPM Model Fama-French Model
Variable Coefficient Variable Coefficient Variable Coefficient
Intercept 0.0003 Intercept −0.003 Intercept −0.005**
MSCI 0.37* MSCI 0.36* MSCI 0.34*
SML −0.03 R-Ratio 1.44** R-Ratio 1.91*
T10Y 14.04 HML (Value Prem.) −0.15**
Credit Spread 2.06
Bd. Opt 0.12
FX Opt 0.16**
Com. Opt 0.06
Adj. R-squared 52.57% 52.05% 54.50%
Akaike info criterion (AIC) −5.39 −5.57 −5.55
Schwarz info criterion (SIC) −5.19 −5.41 −5.40
Estimation Technique OLS EGARCH GARCH
Significance Levels: *** 10% and ** 5% and * 1%
40. Asia Equally Weighted Index
Dependent Variable: Asia Equally Weighted Index return
Sample Period: January 2004 – December 2014
FH 7-Factor Model CAPM Model Fama-French Model
Variable Coefficient Variable Coefficient Variable Coefficient
Intercept 0.001 Intercept −0.005***
MSCI 0.37* MSCI 0.35*
SML −0.03 D-Ratio 0.001*
T10Y 14.90
Credit Spread 1.63
Bd. Opt 0.07
FX Opt 0.16***
Com. Opt 0.05
Adj. R-squared 50.74% 50.93%
Akaike info criterion (AIC) −5.37 −5.58
Schwarz info criterion (SIC) −5.17 −5.43
Estimation Technique OLS EGARCH
Significance Levels: *** 10% and ** 5% and * 1%
41. Asia with Japan Index
Dependent Variable: Asia with Japan Index return
Sample Period: January 2004 – December 2014
FH 7-Factor Model CAPM Model Fama-French Model
Variable Coefficient Variable Coefficient Variable Coefficient
Intercept 0.002 Intercept −0.007**
MSCI 0.26* MSCI 0.30*
SML −0.04 R-Ratio 2.81*
T10Y 8.28 Kurtosis 0.006*
Credit Spread 2.13
Bd. Opt −0.05
FX Opt 0.11
Com. Opt 0.08**
Adj. R-squared 34.64% 36.41%
Akaike info criterion (AIC) −5.20 −5.54
Schwarz info criterion (SIC) −5.00 −5.36
Estimation Technique OLS EGARCH
Significance Levels: *** 10% and ** 5% and * 1%
42. Japan Index
Dependent Variable: Japan Index return
Sample Period: January 2004 – December 2014
FH 7-Factor Model CAPM Model Fama-French Model
Variable Coefficient Variable Coefficient Variable Coefficient
Intercept 0.002 Intercept 0.003**
TOPIX 0.37* TOPIX 0.36*
SML −0.02
T10Y 26.87*
Credit Spread 0.40
Bd. Opt 1.44
FX Opt 0.04
Com. Opt −0.03
Adj. R-squared 64.12% 62.73%
Akaike info criterion (AIC) −5.56 −5.57
Schwarz info criterion (SIC) −5.38 −5.53
Estimation Technique OLS OLS
Significance Levels: *** 10% and ** 5% and * 1%
73. Western/Pan Europe Index
Dependent Variable: Western/Pan Europe Index return
Sample Period: January 2005 – December 2014
FH 7-Factor Model CAPM Model Fama-French Model
Variable Coefficient Variable Coefficient Variable Coefficient
Intercept 0.006 Intercept −0.03*
MSCI 0.32* MSCI 0.20*
SML −0.13*** R-Ratio 8.73*
T10Y 8.85 Max Drawdown% −0.26*
Credit Spread −1.21 L-Ratio −0.42*
Bd. Opt −0.27 Max Run-up% −0.06*
FX Opt 0.31*
Com. Opt 0.06
Adj. R-squared 39.66% 57.24%
Akaike info criterion (AIC) −5.25 −5.62
Schwarz info criterion (SIC) −5.04 −5.48
Estimation Technique OLS OLS
Significance Levels: *** 10% and ** 5% and * 1%
74. Northern Europe Index
Dependent Variable: Northern Europe Index return
Sample Period: January 2005 – December 2014
FH 7-Factor Model CAPM Model Fama-French Model
Variable Coefficient Variable Coefficient Variable Coefficient
Intercept 0.0003 Intercept 0.003*
MSCI 0.18* MSCI 0.12*
SML 0.003
T10Y 7.68
Credit Spread 1.62
Bd. Opt 0.79
FX Opt 0.30*
Com. Opt 0.06***
Adj. R-squared 28.46% 17.73%
Akaike info criterion (AIC) −6.03 −5.94
Schwarz info criterion (SIC) −5.84 −5.89
Estimation Technique OLS OLS
Significance Levels: *** 10% and ** 5% and * 1%
75. Final Remarks
55 HFRX categories of hedge fund returns are analyzed. Three new factors (D-
Ratio, L-Ratio, and R-Ratio) are introduced as better risk measures for hedge
fund categories than traditional factors.
The three new factors are dominant in the Macro category, the Relative Value
category, the Emerging Market category, and the Asia regional categories (at
least one of these variables is significant in 74% of these models). These three
variables are not as dominant in the Equity Hedge category (33%) or the Event
Driven category (14%).
L-Ratio is significant in 12 of 55 categories (21.8%).
R-Ratio is significant in 17 of 55 categories (30.9%).
D-Ratio is significant in 13 of 55 categories (23.6%).
The Sharpe and Sortino ratios are only significant in 4-7 categories of the 55
hedge fund groups.