Posts Tagged ‘beta

21
Apr
10

Paper: Hedge Funds entre Alphas y costos

The ABCs of Hedge Funds: Alphas, Betas, & Costs

Abstract:
Despite the retrenchment of the hedge fund industry in 2008, hedge fund assets under management are currently over one and a half trillion dollars. We analyze the potential biases in reported hedge fund returns, in particular survivor-ship bias and back fill bias. We then decompose the returns into three components: the systematic market exposure (beta), the value added by hedge funds (alpha), and the hedge fund fees (costs). We analyze the performance of a universe of about 8,400 hedge funds from the TASS database from January 1995 through December 2009. Our results indicate that both survivor-ship and back fill biases are potentially serious problems. Adjusting for these biases brings the net return from 14.26% to 7.63% for the equally weighted sample. Over the entire period, this return is slightly lower than the S&P 500 return of 8.04%, but includes a statistically significant positive alpha. We estimate a pre-fee return of 11.42%, which we split into a fee (3.78%), an alpha (3.01%), and a beta return (4.62%). The positive alpha is quite remarkable, since the mutual fund industry in aggregate does not produce alpha net of fees. The year by year results also show that alphas from hedge funds were positive during every year of the last decade, even through the recent financial crisis of 2008 and 2009.

Link al Paper

06
Apr
10

Paper: Precios, Extremos y Volatilidad

How the 52-Week High and Low Affect Beta and Volatility

Abstract:
We provide a new perspective on stock price behavior around 52-week highs and lows. Instead of focusing on noisy measurements of abnormal returns (alpha), our main focus is to analyze whether a stock’s beta, return volatility and option-implied volatility change (i) when stock prices approach their 52-week high or low, and (ii) when stock prices break through these highs or lows. We find that betas and volatilities decrease when approaching a high or low, and that volatilities increase after breakthroughs. The effects are economically large and very significant, and consistent across stock and stock-option markets. Among several explanations for our findings, we find most support for the anchoring theory.

Link al Paper

16
Feb
10

Paper: Arbitraje y Volatilidad

Benchmarks as Limits to Arbitrage: Understanding the Low Volatility Anomaly

Abstract:
Over the past 41 years, high volatility and high beta stocks have substantially underperformed low volatility and low beta stocks. We propose an explanation that combines the average investor’s preference for risk and the typical institutional investor’s mandate to maximize the ratio of excess returns and tracking error relative to a fixed benchmark (the information ratio) without resorting to leverage. Models of delegated asset management show that such mandates discourage arbitrage activity in both high alpha, low beta stocks and low alpha, high beta stocks. This explanation is consistent with several aspects of the low volatility anomaly including why it has only strengthened even as institutional investors have become more numerous.

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