Semiparametric Estimation of a Characteristic-based Factor Model of Stock Returns

2000 ◽  
Author(s):  
Gregory Connor ◽  
Oliver B. Linton
Keyword(s):  
Stock Returns ◽  
Factor Model ◽  
Semiparametric Estimation

scholarly journals Choosing Factors for the Vietnamese Stock Market

2021 ◽  
Vol 14 (3) ◽  
pp. 96
Author(s):  
Nina Ryan ◽  
Xinfeng Ruan ◽  
Jin E. Zhang ◽  
Jing A. Zhang
Keyword(s):  
Stock Returns ◽  
Factor Model ◽  
Five Factor Model ◽  
Explanatory Power ◽  
Factor Models ◽  
Marginal Contribution ◽  
Return On Equity ◽  
Factor Modeling ◽  
Three Factor ◽  
Better Than

In this paper, we test the applicability of different Fama–French (FF) factor models in Vietnam, we investigate the value factor redundancy and examine the choice of the profitability factor. Our empirical evidence shows that the FF five-factor model has more explanatory power than the FF three-factor model. The value factor remains important after the inclusion of profitability and investment factors. Operating profitability performs better than cash and return-on-equity (ROE) profitability as a proxy for the profitability factor in FF factor modeling. The value factor and operating profitability have the biggest marginal contribution to a maximum squared Sharpe ratio for the five-factor model factors, highlighting the value factor (HML) non-redundancy in describing stock returns in Vietnam.

Information risk, stock returns, and asset pricing: Evidence from China

2017 ◽  
Vol 30 (4) ◽  
pp. 379-394 ◽  
Author(s):  
Raheel Safdar ◽  
Chen Yan
Keyword(s):  
Stock Returns ◽  
Factor Model ◽  
Empirical Literature ◽  
Firm Level ◽  
Cross Sectional ◽  
Market Pricing ◽  
Content Type ◽  
Information Risk ◽  
Accruals Quality ◽  
Three Factor

Purpose This study aims to investigate information risk in relation to stock returns of a firm and whether information risk is priced in China. Design/methodology/approach The authors used accruals quality (AQ) as their measure of information risk and performed Fama-Macbeth regressions to investigate association of AQ with future realized stock returns. Moreover, two-stage cross-sectional regression analysis was performed, both at firm level and at portfolio level, to test if the AQ factor is priced in China in addition to existing factors in the Fama French three-factor model. Findings The authors found poor AQ being associated with higher future realized stock returns. Moreover, they found evidence of market pricing of AQ in addition to existing factors in the Fama French three-factor model. Further, subsample analysis revealed that investors value AQ more in non-state owned enterprises than in state owned enterprises. Research limitations/implications The study sample comprises A-shares only and the generalization of the findings is limited by the peculiar institutional and economic setup in China. Originality/value This study contributes to market-based accounting literature by providing further insight into how and if investors value information risk, and it seeks to fill gap in empirical literature by providing evidence from the Chinese capital market.

The performance of the Broad Based Black Economic Empowerment compliant listed property firms in South Africa

2016 ◽  
Vol 34 (1) ◽  
pp. 3-26 ◽  
Author(s):  
Omokolade Akinsomi ◽  
Katlego Kola ◽  
Thembelihle Ndlovu ◽  
Millicent Motloung
Keyword(s):  
Stock Returns ◽  
Factor Model ◽  
Stock Exchange ◽  
Sharpe Ratio ◽  
Economic Empowerment ◽  
Content Type ◽  
Black Economic ◽  
Black Economic Empowerment ◽  
The Government ◽  
The Impact

Purpose – The purpose of this paper is to examine the impact of Broad-Based Black Economic Empowerment (BBBEE) on the risk and returns of listed and delisted property firms on the Johannesburg Stock Exchange (JSE). The study was investigated to understand the impact of Black Economic Empowerment (BEE) property sector charter and effect of government intervention on property listed markets. Design/methodology/approach – The study examines the performance trends of the listed and delisted property firms on the JSE from January 2006 to January 2012. The data were obtained from McGregor BFA database to compute the risk and return measures of the listed and delisted property firms. The study employs a capital asset pricing model (CAPM) to derive the alpha (outperformance) and beta (risk) to examine the trend amongst the BEE and non-BEE firms, Sharpe ratio was also employed as a measurement of performance. A comparative study is employed to analyse the risks and returns between listed property firms that are BEE compliant and BEE non-compliant. Findings – Results show that there exists differences in returns and risk between BEE-compliant firms and non-BEE-compliant firms. The study shows that BEE-compliant firms have higher returns than non-BEE firms and are less risky than non-BEE firms. By establishing this relationship, this possibly affects the investor’s decision to invest in BEE firms rather than non-BBBEE firms. This study can also assist the government in strategically adjusting the policy. Research limitations/implications – This study employs a CAPM which is a single-factor model. Further study could employ a multi-factor model. Practical implications – The results of this investigation, with the effects of BEE on returns, using annualized returns, the Sharpe ratio and alpha (outperformance), results show that BEE firms perform better than non-BEE firms. These results pose several implications for investors particularly when structuring their portfolios, further study would need to examine the role of BEE on stock returns in line with other factors that affect stock returns. The results in this study have several implications for government agencies, there may be the need to monitor the effect of the BEE policies on firm returns and re-calibrate policies accordingly. Originality/value – This study investigates the performance of listed property firms on the JSE which are BEE compliant. This is the first study to investigate listed property firms which are BEE compliant.

scholarly journals Abnormal Returns or Mismeasured Risk? Network Effects and Risk Spillover in Stock Returns

2019 ◽  
Vol 12 (2) ◽  
pp. 50 ◽  
Author(s):  
Arnab Bhattacharjee ◽  
Sudipto Roy
Keyword(s):  
Stock Returns ◽  
Network Effects ◽  
Cross Correlation ◽  
Factor Model ◽  
Empirical Work ◽  
Abnormal Returns ◽  
Recent Event ◽  
Dow Jones Industrial Average ◽  
Abnormal Stock Returns ◽  
Short Event

Recent event study literature has highlighted abnormal stock returns, particularly in short event windows. A common explanation is the cross-correlation of stock returns that are often enhanced during periods of sharp market movements. This suggests the misspecification of the underlying factor model, typically the Fama-French model. By drawing upon recent panel data literature with cross-section dependence, we argue that the Fame-French factor model can be enriched by allowing explicitly for network effects between stock returns. We show that recent empirical work is consistent with the above interpretation, and we advance some hypotheses along which new structural models for stock returns may be developed. Applied to data on stock returns for the 30 Dow Jones Industrial Average (DJIA) stocks, our framework provides exciting new insights.

scholarly journals Capturing Profitability in Asset Pricing Models for Japanese Equities 1994-2016

2018 ◽  
Vol 10 (5) ◽  
pp. 254
Author(s):  
Dong Liu ◽  
Hiroshi Yadohisa
Keyword(s):  
Stock Returns ◽  
Factor Model ◽  
Economic Value ◽  
Equity Returns ◽  
Net Income ◽  
Cross Sectional ◽  
Operating Profit ◽  
Asset Pricing Models ◽  
Profitability Premium ◽  
Value Model

We follow Ball et al. (2015) to investigate and compare firms’ gross profit, operating profit, and net income as predictors of returns for a cross-section of traded Japanese equities spanning 1994-2016. We test the predictive power of profit measures on cross-sectional stock returns using portfolio tests and Fama-MacBeth regressions, find that gross-profit-to-book-equity significantly predict returns on sampled stocks. Consistent with Novy-Marx (2013), we also find that sorting portfolios by gross profitability and book-to-market ratios outperform in the Japanese market. Hence, we create a Market-Profitability-Value model that captures value and profitability premium among returns of sampled stocks. Based on Gibbons-Ross-Shanken test and economic value, we demonstrate that our enhanced model outperforms Fama–French multiple-factor model in isolating influences on equity returns.

scholarly journals Nuclear Hazard and Asset Prices: Implications of Nuclear Disasters in the Cross-Sectional Behavior of Stock Returns

2020 ◽  
Vol 12 (22) ◽  
pp. 9721
Author(s):  
Ana Belén Alonso-Conde ◽  
Javier Rojo-Suárez
Keyword(s):  
Stock Returns ◽  
Factor Model ◽  
Large Fraction ◽  
Factor Models ◽  
Cross Sectional ◽  
Risk Premiums ◽  
Conditional Capm ◽  
Equity Risk ◽  
The Cross ◽  
The Cost

Using stock return data for the Japanese equity market, for the period from July 1983 to June 2018, we analyze the effect of major nuclear disasters worldwide on Japanese discount rates. For that purpose, we compare the performance of the capital asset pricing model (CAPM) conditional on the event of nuclear disasters with that of the classic CAPM and the Fama–French three- and five-factor models. In order to control for nuclear disasters, we use an instrument that allows us to parameterize the linear stochastic discount factor of the conditional CAPM and transform the classic CAPM into a three-factor model. In this regard, the use of nuclear disasters as an explanatory variable for the cross-sectional behavior of stock returns is a novel contribution of this research. Our results suggest that nuclear disasters account for a large fraction of the variation of stock returns, allowing the CAPM to perform similarly to the Fama–French three- and five-factor models. Furthermore, our results show that, in general, nuclear disasters are positively related to the expected returns of a large number of assets under study. Our results have important implications for the task of estimating the cost of equity and constitute a step forward in understanding the relationship between equity risk premiums and nuclear disasters.

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.

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