Market Price of Variance Risk and Performance of Hedge Funds

2004 ◽  
Author(s):  
Oleg Bondarenko
Keyword(s):  
Hedge Funds ◽  
Market Price ◽  
Variance Risk ◽  
And Performance

scholarly journals HEDGE FUNDS: RISK AND PERFORMANCE

2018 ◽  
Vol 06 (01) ◽  
pp. 1850003
Author(s):  
SANGHEON SHIN ◽  
JAN SMOLARSKI ◽  
GÖKÇE SOYDEMIR
Keyword(s):  
Risk Factors ◽  
Hedge Funds ◽  
Factor Model ◽  
Explanatory Power ◽  
Hedge Fund ◽  
Investment Strategy ◽  
Time Varying ◽  
Asset Class ◽  
And Performance ◽  
Fund Portfolio

This paper models hedge fund exposure to risk factors and examines time-varying performance of hedge funds. From existing models such as asset-based style (ABS)-factor model, standard asset class (SAC)-factor model, and four-factor model, we extract the best six factors for each hedge fund portfolio by investment strategy. Then, we find combinations of risk factors that explain most of the variance in performance of each hedge fund portfolio based on investment strategy. The results show instability of coefficients in the performance attribution regression. Incorporating a time-varying factor exposure feature would be the best way to measure hedge fund performance. Furthermore, the optimal models with fewer factors exhibit greater explanatory power than existing models. Using rolling regressions, our customized investment strategy model shows how hedge funds are sensitive to risk factors according to market conditions.

The Importance of Blockholder Heterogeneity: Security Market Effects and Follow-On Activities

2018 ◽  
Vol 54 (1) ◽  
pp. 101-153 ◽  
Author(s):  
Jim Hsieh ◽  
Tao-Hsien Dolly King
Keyword(s):  
Hedge Funds ◽  
Security Market ◽  
Target Firm ◽  
Market Effects ◽  
Bond Returns ◽  
Target Firms ◽  
Performance Consequences ◽  
Private Placements ◽  
And Performance

Recent research on blockholders focuses on activist hedge funds and documents positive stock but negative bond returns. This study investigates the role of blockholder heterogeneity on security market effects and target firm follow-on activities across three important dimensions: identity, motive, and purchasing method. We show that target firms’ security returns and post-acquisition activities strongly correlate with blockholder heterogeneity. Further, bond returns are significantly positive for firms with blockholders’ debt-assistance motive while both stock and bond returns are significantly negative in private placements. Overall, our findings highlight the importance of blockholder heterogeneity on the valuation and performance consequences in block acquisitions.

Dynamic Pricing Based on Net Cost for Mobile Content Services

2007 ◽  
pp. 220-226
Author(s):  
N. Srikhutkhao
Keyword(s):  
Mobile Phone ◽  
Mobile Phones ◽  
Dynamic Pricing ◽  
Market Price ◽  
Actual Cost ◽  
Pricing Model ◽  
Market Growth ◽  
The Past ◽  
Fixed Price ◽  
And Performance

In the past few years, the mobile phone’s performance has increased rapidly. According to IDC’s Worldwide Mobile Phone 2004-2008 Forecast and Analysis, sales of 2.5G mobile phones will drive market growth for the next several years, with sales of 3G mobile phones finally surpassing the 100 million annual unit mark in 2007. Future mobile phones can support more than 20,000 colors. With the advancements in functionality and performance of mobile phones, users will use them for all sorts of activities, and that will increase mobile content service requests. Currently, the pricing of mobile content service is up to each provider; typically they implement a fixed price called a market price because the providers do not have a formula to estimate the price according to the actual cost of their services. This article proposes a dynamic pricing model based on net cost for mobile content services.

scholarly journals The Term Structure of Variance Swap Rates and Optimal Variance Swap Investments

2010 ◽  
Vol 45 (5) ◽  
pp. 1279-1310 ◽  
Author(s):  
Daniel Egloff ◽  
Markus Leippold ◽  
Liuren Wu
Keyword(s):  
Term Structure ◽  
Investment Decision ◽  
Market Price ◽  
Optimal Investment ◽  
Stock Index ◽  
Structure Variation ◽  
Variance Swap ◽  
Variance Risk ◽  
Negative Estimate ◽  
Swap Rates

AbstractThis paper performs specification analysis on the term structure of variance swap rates on the S&P 500 index and studies the optimal investment decision on the variance swaps and the stock index. The analysis identifies 2 stochastic variance risk factors, which govern the short and long end of the variance swap term structure variation, respectively. The highly negative estimate for the market price of variance risk makes it optimal for an investor to take short positions in a short-term variance swap contract, long positions in a long-term variance swap contract, and short positions in the stock index.

The Life Cycle of Hedge Funds: Fund Flows, Size, Competition, and Performance

2012 ◽  
Vol 02 (01) ◽  
pp. 1250003 ◽  
Author(s):  
Mila Getmansky
Keyword(s):  
Hedge Funds ◽  
Fund Performance ◽  
Life Cycles ◽  
Fund Flows ◽  
Optimal Size ◽  
Market Impact ◽  
Specific Factors ◽  
And Performance ◽  
Capacity Constrained ◽  
Asset Size

This paper analyzes the life cycles of hedge funds. Using the Lipper TASS database it provides category and fund specific factors that affect the survival probability of hedge funds. The findings show that in general, investors chasing individual fund performance, thus increasing fund flows, decrease probabilities of hedge funds liquidating. However, if investors chase a category of hedge funds that has performed well (favorably positioned), then the probability of hedge funds liquidating in this category increases. We interpret this finding as a result of competition among hedge funds in a category. As competition increases, marginal funds are more likely to be liquidated than funds that deliver superior risk-adjusted returns. We also find that there is a concave relationship between performance and lagged assets under management. The implication of this study is that an optimal asset size can be obtained by balancing out the effects of past returns, fund flows, competition, market impact, and favorable category positioning that are modeled in the paper. Hedge funds in capacity constrained and illiquid categories are subject to high market impact, have limited investment opportunities, and are likely to exhibit an optimal size behavior.

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