Guidelines for asset pricing research using international equity data from Thomson Reuters Datastream

2021 ◽  
pp. 106128
Author(s):  
Conrad Landis ◽  
Spyros Skouras
2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Asgar Ali ◽  
Hajam Abid Bashir

Purpose This study aims to provide a comprehensive overview of asset pricing research and identifies the general research trends in the area. The study also aims to provide future direction to the researchers in the area of asset pricing. Design/methodology/approach The study uses bibliometric analysis techniques to achieve the stated purpose. The study covers 3,007 articles published in the top 50 finance and economics journals, accessed from the Scopus database for a period of 47 years (1973–2020). After initial searching for “asset pricing” as the main keyword in “title, abstract, keywords”, the database yields 6,583 articles. This number further reduces to 3,007 articles when the search is restricted to research and review articles published in the top 50 peer-reviewed journals. Findings The tabular and pictorial representation obtained from the analysis exhibit that asset pricing is an extensively researched area; however, a sudden rise in the number of publications (242) observed for 2019 demonstrates a growing interest amongst researchers. Further, affiliation statistics indicate that the volume of research is mainly concentrated in the USA and other developed nations; hence it opens vistas for the exploration of risk-return dynamics in the context of emerging markets. Originality/value The work presents an exhaustive and comprehensive review along with potential research implications. The present study reconciles various contradictory views of the prior studies under asset pricing such as risk-return trade-off, low-risk anomaly and provides the researchers with potential research gaps.


2021 ◽  
pp. 62-93
Author(s):  
Birgit Charlotte Müller

ZusammenfassungIn a seminal study, Lettau et al. (2019) demonstrate that a single macroeconomic factor can explain a wide range of equity and nonequity portfolio returns within the U.S. market. This factor, which is based on the growth in the capital share of aggregate income, is able to outperform, yet even subsume information in well-established factor models as for instance the Fama-French three factor model. The aim of this paper is to study whether the explanatory power of this factor maintains across international equity markets.


2021 ◽  
Vol 4 (1) ◽  
pp. 87-98
Author(s):  
Ani Silvia ◽  
Chikita Tiara Griska

This empirical test aims to estimate the beta parameters of the risk premium and other risk factors and compare the performance of the single-index model, Fama and Frech three and five-factor models. The sample used as the study object is companies in the property and real estate subsector with data collected from datastream Thomson Reuters from January 2014 to December 2018. The results are consistent with the previous studies that asset pricing using the Fama and French five-factor model can better explain stock returns than the other two models. The property and real estate subsector seems to provide a positive and statistically significant abnormal return, indicating that asset pricing with the three models is irrelevant to Indonesia. These results suggest that the stock market in Indonesia is still inefficient.


2017 ◽  
Vol 52 (6) ◽  
pp. 2369-2397 ◽  
Author(s):  
Turan G. Bali ◽  
Stephen J. Brown ◽  
Scott Murray ◽  
Yi Tang

The low (high) abnormal returns of stocks with high (low) beta, which we refer to as the beta anomaly, is one of the most persistent anomalies in empirical asset pricing research. This article demonstrates that investors’ demand for lottery-like stocks is an important driver of the beta anomaly. The beta anomaly is no longer detected when beta-sorted portfolios are neutralized to lottery demand, regression specifications control for lottery demand, or factor models include a lottery demand factor. The beta anomaly is concentrated in stocks with low levels of institutional ownership and it exists only when the price impact of lottery demand is concentrated in high-beta stocks.


2006 ◽  
Vol 41 (3) ◽  
pp. 607-635 ◽  
Author(s):  
Wayne Ferson ◽  
Andrew F. Siegel ◽  
Pisun (Tracy) Xu

AbstractMimicking portfolios have long been useful in asset pricing research. In most empirical applications, the portfolio weights are assumed to be fixed over time, while in theory they may be functions of the economic state. This paper derives and characterizes mimicking portfolios in the presence of predetermined state variables, or conditioning information. The results generalize and integrate multifactor minimum variance efficiency (Fama (1996)) with conditional and unconditional mean-variance efficiency (Hansen and Richard (1987), Ferson and Siegel (2001)). Empirical examples illustrate the potential importance of time-varying mimicking portfolio weights and highlight challenges in their application.


2006 ◽  
Vol 10 (2) ◽  
pp. 183-205
Author(s):  
KEVIN E. BEAUBRUN-DIANT

This paper studies asset returns adopting an alternative strategy to assess a model's goodness of fit. Based on spectral analysis, this approach considers a model as an approximation to the process generating the observed data, and characterizes the dimensions for which the model provides a good approximation and those for which it does not. Our aim is to offer new evidence regarding the size and the location of approximation errors of a set of stochastic growth models considered to be decisive steps in the progress of the asset pricing research program. Our specific objective is to reevaluate the results of Jermann's (1998) model extending the calculations to the spectral domain. Spectral results are relatively satisfactory: the benchmark model needs very few contributions of approximation errors to account for the empirical equity premium. Second, the location of the approximation errors, when they are substantial, seems to be essentially concentrated at high frequencies.


Sign in / Sign up

Export Citation Format

Share Document