scholarly journals Asset pricing with a reference level of consumption: New evidence from the cross-section of stock returns

2009 ◽  
Vol 18 (3) ◽  
pp. 113-123 ◽  
Author(s):  
Joachim Grammig ◽  
Andreas Schrimpf
2016 ◽  
Vol 6 (2) ◽  
pp. 72-78
Author(s):  
Kung-Cheng Ho ◽  
Shih-Cheng Lee ◽  
Po-Hsiang Huang ◽  
Ting-Yu Hsu

Financial distress has been invoked in the asset pricing literature to explain the anomalous patterns in the cross-section of stock returns. The risk of financial distress can be measured using indexes. George and Hwang (2010) suggest that leverage can explain the distress risk puzzle and that firms with high costs choose low leverage to reduce distress intensities and earn high returns. This study investigates whether this relationship exists in the Taiwan market. When examined separately, distress intensity is found to be negatively related to stock returns, but leverage is found to not be significantly related to stock returns. The results are the same when distress intensity and leverage are examined simultaneously. After assessing the robustness by using O-scores, distress risk puzzle is found to exist in the Taiwan market, but the leverage puzzle is not.


2020 ◽  
Vol 33 (5) ◽  
pp. 1879-1890 ◽  
Author(s):  
G Andrew Karolyi ◽  
Stijn Van Nieuwerburgh

Abstract The cross-section and time series of stock returns contains a wealth of information about the stochastic discount factor (SDF), the object that links cash flows to prices. A large empirical literature has uncovered many candidate factors—many more than seem plausible—to summarize the SDF. This special volume of the Review of Financial Studies presents recent advances in extracting information from both the cross-section and the time series, in dealing with issues of replication and false discoveries, and in applying innovative machine-learning techniques to identify the most relevant asset pricing factors. Our editorial summarizes what we learn and offers a few suggestions to guide future work in this exciting new era of big data and empirical asset pricing.


Author(s):  
Salman Ahmed Shaikh ◽  
Mohd Adib Ismail ◽  
Abdul Ghafar Ismail ◽  
Shahida Shahimi ◽  
Muhammad Hakimi Mohd. Shafiai

Purpose This paper aims to study the cross section of expected returns on Shari’ah-compliant stocks in Pakistan by using single- and multi-factor asset pricing models. Design/methodology/approach To estimate cross section of expected returns of Shari’ah-compliant stocks, the study uses capital asset pricing model (CAPM), Fama-French three-factor model and Fama-French five-factor model. Data for the period 2001-2015 on 217 companies are used. For the market portfolio, PSX-100 and Dow Jones Islamic Index for Pakistan are used. Findings The study could not find empirical support for CAPM using Lintner (1965), Black et al. (1972) and Fama and Macbeth (1973) approach. Nonetheless, the relation between beta and returns is positive in up-market and negative in down-market. The results of Fama-French three-factor and five-factor models suggest that size premium is positive and significant for explaining the cross section of stock returns of small size stocks, whereas value premium is positive and significant for explaining the cross section of returns of high value stocks. Practical implications The results suggest that fund managers can use Shari’ah-compliant stocks for portfolio diversification and for offering specialized investments given the positive market excess returns and the existence of size and value premium on Shari’ah-compliant stocks. Originality/value This is the first study on Fama-French (2015) five-factor model for Islamic capital markets in Pakistan.


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