scholarly journals Hedge Funds and Earnings Momentum

2017 ◽  
Vol 9 (10) ◽  
pp. 40
Author(s):  
Daniel T. Lawson
Keyword(s):  
Hedge Funds ◽  
Factor Model ◽  
Five Factor Model ◽  
Hedge Fund ◽  
Event Driven ◽  
Earnings Momentum ◽  
Fama And French

This study determines if hedge funds take advantage of the earnings momentum anomaly. A five-factor model was used including Fama and French (1993) and Carhart (1997) factors as well as an earnings momentum factor based on Chordia and Shivakumar (2007). The average hedge fund does not take advantage of the post-earnings momentum drift; however, larger funds associated with equity long only and equity short bias strategies successfully arbitrage on the earnings anomaly, contributing 2-3% per year, respectively. In contrast, funds with event driven, fund timing, and convertible arbitrage strategies tend to employ a strategy opposite to that of the earnings momentum anomaly and suffer losses accordingly.

scholarly journals Do Hedge Funds Arbitrage on Asset Growth, Earnings Momentum and Equity Financing Anomalies?

2018 ◽  
Vol 10 (9) ◽  
pp. 38
Author(s):  
Daniel T. Lawson ◽  
Robert L. Schwartz
Keyword(s):  
Hedge Funds ◽  
Factor Model ◽  
Hedge Fund ◽  
Total Asset ◽  
Equity Financing ◽  
Market Anomalies ◽  
Asset Growth ◽  
Factor Alpha ◽  
Earnings Momentum ◽  
Fama And French

This paper analyzes the risk-adjusted performance of hedge funds and their overall ability to arbitrage on known market anomalies. This is done by testing three anomaly factors capturing total asset growth, equity financing, and earnings momentum in addition to the traditional Fama and French (1993) and Carhart (1997) four-factor model and Fung and Hsieh (2001) risk factors. Our results suggest that the average hedge fund employs a strategy consistent with the total asset growth and earnings momentum anomalies but contradictory to the equity financing anomaly of Hirshleifer and Jiang (2007). Multi-factor alpha generation does seem to persist over longer periods of time which suggests the use of other untested, return-generating arbitrage methods.

The q-factor and the Fama and French asset pricing models: hedge fund evidence

2016 ◽  
Vol 42 (12) ◽  
pp. 1180-1207 ◽  
Author(s):  
Greg Gregoriou ◽  
François-Éric Racicot ◽  
Raymond Théoret
Keyword(s):  
Hedge Funds ◽  
Factor Model ◽  
Five Factor Model ◽  
Hedge Fund ◽  
The Other ◽  
Strategy Analysis ◽  
Content Type ◽  
Other Hand ◽  
Fama And French ◽  
The One

Purpose The purpose of this paper is to test the new Fama and French (2015) five-factor model relying on a thorough sample of hedge fund strategies drawn from the Barclay’s Global hedge fund database. Design/methodology/approach The authors use a stepwise regression to identify the factors of the q-factor model which are relevant for the hedge fund strategy analysis. Doing so, the authors account for the Fung and Hsieh seven factors which prove very useful in the explanation of the hedge fund strategies. The authors introduce interaction terms to depict any interaction of the traditional Fama and French factors with the factors associated with the q-factor model. The authors also examine the dynamic dimensions of the risk-taking behavior of hedge funds using a BEKK procedure and the Kalman filter algorithm. Findings The results show that hedge funds seem to prefer stocks of firms with a high investment-to-assets ratio (low conservative minus aggressive (CMA)), on the one hand, and weak firms’ stocks (low robust minus weak (RMW)), on the other hand. This combination is not associated with the conventional properties of growth stocks – i.e., low high minus low (HML) stocks – which are related to firms which invest more (low CMA) and which are more profitable (high RMW). Finally, small minus big (SMB) interacts more with RMW while HML is more correlated with CMA. The conditional correlations between SMB and CMA, on the one hand, and HML and RMW, on the other hand, are less tight and may change sign over time. Originality/value To the best of the authors’ knowledge, the authors are the first to cast the new Fama and French five-factor model in a hedge fund setting which account for the Fung and Hsieh option-like trading strategies. This approach allows the authors to better understand hedge fund strategies because q-factors are useful to study the dynamic behavior of hedge funds.

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.

scholarly journals Analysis of the Spanish IBEX-35 Companies’ Returns Using Extensions of the Fama and French Factor Models

Symmetry ◽  
2020 ◽  
Vol 12 (2) ◽  
pp. 295 ◽  
Author(s):  
Francisco Jareño ◽  
María de la O González ◽  
Laura Munera
Keyword(s):  
Interest Rates ◽  
Factor Model ◽  
Five Factor Model ◽  
Explanatory Power ◽  
Factor Models ◽  
Final Conclusion ◽  
Economic Cycle ◽  
Explanatory Factors ◽  
Nominal Interest Rates ◽  
Fama And French

This paper studies in depth the sensitivity of Spanish companies’ returns to changes in several risk factors between January 2000 and December 2018 using the quantile regression approach. Concretely, this research applies extensions of the Fama and French three- and five-factor models (1993 and 2015), according to González and Jareño (2019), adding relevant explanatory factors, such as nominal interest rates, the Carhart (1997) risk factor for momentum and for momentum reversal and the Pastor and Stambaugh (2003) traded liquidity factor. Additionally, for robustness, this paper splits the entire sample period into three sub-sample periods (pre-crisis, crisis and post-crisis) to analyse the results according to the economic cycle. The main conclusions of this paper are fourfold: First, these two models have the greatest explanatory power in the extreme quantiles of the return distribution (0.1 and 0.9) and more specifically in the lowest quantile 0.1. Second, the second model, based on the Fama and French five-factor model, shows the highest explanatory power not only in the full period but also in the three sub-periods. Third, the bank BBVA is the company that shows the highest sensitivity to changes in the explanatory factors in most periods because its adjusted R2 is the highest. Fourth, the stage of the economy with the highest explanatory power is the crisis subperiod. Thus, the final conclusion of this paper is that the second model explains best variations in Spanish companies’ returns in crisis stages and low quantiles.

scholarly journals Interest rate sensitivity of spanish companies. An extension of the Fama-French five-factor model

2018 ◽  
Vol 68 (4) ◽  
pp. 617-638 ◽  
Author(s):  
Francisco Jareño ◽  
María de la O González ◽  
Marta Tolentino ◽  
Sara Rodríguez
Keyword(s):  
Interest Rates ◽  
Stock Returns ◽  
Factor Model ◽  
Five Factor Model ◽  
Explanatory Power ◽  
Rate Sensitivity ◽  
Share Prices ◽  
Explanatory Variables ◽  
Fama And French ◽  
Recent Financial Crisis

This paper studies the sensitivity of share prices of Spanish companies included in the IBEX-35 to changes in different explanatory variables, such as market returns, interest rates and factors proposed by Fama and French (1993, 2015) between 2000 and 2016. In addition, for robustness, this paper analyses whether the sensitivity of stock returns is different between two periods: precrisis and recent financial crisis. The results confirm that, in general, all the considered factors are relevant. Furthermore, “market return” and “size” factors show greater explanatory power, together with the “value” factor in the crisis period. Regarding the analysis at sector level, “Oil and Energy”, “Basic Materials, Industry and Construction” and “Financial and Real Estate Services” sectors appear to be highly sensitive to changes in the risk factors included in the asset pricing factor model.

Event-Driven Hedge Fund Strategies

2017 ◽  
Author(s):  
Caroline Farrelly ◽  
François-Serge Lhabitant
Keyword(s):  
Hedge Funds ◽  
Hedge Fund ◽  
Skill Sets ◽  
Broad Category ◽  
Event Driven ◽  
Arbitrage Trading ◽  
Merger Arbitrage ◽  
Time Frames ◽  
Legal Expertise

This chapter explores some of the strategies used by event-driven hedge funds, namely merger arbitrage, trading distressed securities, special situations, and activism. This broad category within the hedge fund space attracts about a quarter of the capital deployed to this part of the alternatives world. Investors are drawn to the idea of uncorrelated returns that can act as a source of diversification for their portfolios as well as the ability to follow the news flow related to their investments. In essence, such trades should have identifiable catalysts and time frames. The chapter offers illustrative examples of historical trades, providing some context of the types of positions funds may take and time frames involved. Various skill sets should be sought in an event-driven manager. Managers dealing in distressed securities are likely to benefit from a legal expertise, whereas activists need to be able to influence management and campaign publically.

Evaluating alternative performance benchmarks for Indian mutual fund industry

2017 ◽  
Vol 14 (2) ◽  
pp. 222-250 ◽  
Author(s):  
Sanjay Sehgal ◽  
Sonal Babbar
Keyword(s):  
Asset Pricing ◽  
Mutual Fund ◽  
Factor Model ◽  
Five Factor Model ◽  
Content Type ◽  
Asset Pricing Model ◽  
Fund Managers ◽  
Asset Pricing Models ◽  
Performance Benchmarks ◽  
Fama And French

Purpose The purpose of this paper is to perform a relative assessment of performance benchmarks based on alternative asset pricing models to evaluate performance of mutual funds and suggest the best approach in Indian context. Design/methodology/approach Sample of 237 open-ended Indian equity (growth) schemes from April 2003 to March 2013 is used. Both unconditional and conditional versions of eight performance models are employed, namely, Jensen (1968) measure, three-moment asset pricing model, four-moment asset pricing model, Fama and French (1993) three-factor model, Carhart (1997) four-factor model, Elton et al. (1999) five-index model, Fama and French (2015) five-factor model and firm quality five-factor model. Findings Conditional version of Carhart (1997) model is found to be the most appropriate performance benchmark in the Indian context. Success of conditional models over unconditional models highlights that fund managers dynamically manage their portfolios. Practical implications A significant α generated over and above the return estimated using Carhart’s (1997) model reflects true stock-picking skills of fund managers and it is, therefore, worth paying an active management fee. Stock exchanges and credit rating agencies in India should construct indices incorporating size, value and momentum factors to be used for purpose of benchmarking. Originality/value The study adds new evidence as to applicability of established asset pricing models as performance benchmarks in emerging market India. It examines role of higher order moments in explaining mutual fund returns which is an under researched area.

scholarly journals COMPREHENSIVE ANALYSIS OF REGULATORY IMPACTS ON PERFORMANCE OF SLOVAK PENSION FUNDS

2021 ◽  
Vol 22 (3) ◽  
pp. 735-756
Author(s):  
Mário Papík ◽  
Lenka Papíková
Keyword(s):  
Pension System ◽  
Factor Model ◽  
Five Factor Model ◽  
Pension Funds ◽  
Private Pension ◽  
Government Interventions ◽  
Regulatory Interventions ◽  
Market Factors ◽  
Fama And French ◽  
Sustainability Challenges

Standard pay-as-you-go pension system is facing long-term and short-term sustainability challenges in several countries. Possible replacement of standard pension system might be in a form of private pension savings. Private pension savings are meaningful only if they provide sufficiently high returns. The aim of this manuscript is to analyse performance of Slovak pension funds and factors impacting this performance, especially government interventions. This manuscript is focused on enhanced Carhart four-factor model, Bollen and Busse four-factor model, and Fama and French five-factor model based on 23 pension funds from Slovakia from period starting September 2012 and ending September 2019. These models have been extended by other variables describing bond market factors and impact of regulatory interventions on performance of pension funds. Results of analysis have proved that legislative interventions have impact on performance of analysed pension funds. Each legislative intervention has caused average daily yield to decrease by about 0.01% to 0.03%. Findings described in this manuscript can contribute to better knowledge of pension funds for both contributors who need to decide whether to participate in the second pillar or not, as well as for regulators who develop legislation measurements in this area.

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