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Bowles, Boone - 2020

We examine when anomaly returns occur in order to understand if they exist. If anomalies are spurious, then anomaly returns should not depend on their proximity to the dates on which key anomaly information is released. Yet, they do. Using a powerful database containing the precise release date...

Persistent link: https://www.econbiz.de/10012853482

Mood Beta and Seasonalities in Stock Returns

Hirshleifer, David A. - 2020

Existing research has documented cross-sectional seasonality of stock returns—the periodic outperformance of certain stocks during the same calendar months or weekdays. We hypothesize that assets' different sensitivities to investor mood explain these effects and imply other seasonalities....

Persistent link: https://www.econbiz.de/10012854886

Periodic Integration and Cointegration of U.S. Stock Prices, Dividends, and Interest Rates : A New Test of the Present Value Model

Shirwani, Hassan; Delcoure, Natalya; Wilbratte, Barry J. - 2012

advances in the econometrics of seasonal time series. Unlike earlier studies which generally find stock prices, dividends, and … these variables. This means that the conventional cointegration tests may not be robust. Using a more appropriate periodic … cointegration test, our results nevertheless fail to support the present value model, thus reinforcing the case against the …

Persistent link: https://www.econbiz.de/10014043638

Disaster Resilience and Asset Prices

Pagano, Marco - 2020

This paper investigates whether security markets price the effect of social distancing on firms' operations. We document that firms that are more resilient to social distancing significantly outperformed those with lower resilience during the COVID-19 outbreak, even after controlling for the...

Persistent link: https://www.econbiz.de/10012833771

A bibliometric analysis of machine learning econometrics in asset pricing

Zapata, Hector O.; Mukhopadhyay, Supratik - In: Journal of risk and financial management : JRFM 15 (2022) 11, pp. 1-17

Machine learning (ML) is a novel method that has applications in asset pricing and that fits well within the problem of measurement in economics. Unlike econometrics, ML models are not designed for parameter estimation and inference, but similar to econometrics, they address, and may be better...

Persistent link: https://www.econbiz.de/10013475217

Review on efficiency and anomalies in stock markets

Woo, Kai-yin; Mai, Chulin; McAleer, Michael; Wong, Wing … - In: Economies : open access journal 8 (2020) 1/20, pp. 1-51

The efficient-market hypothesis (EMH) is one of the most important economic and financial hypotheses that have been tested over the past century. Due to many abnormal phenomena and conflicting evidence, otherwise known as anomalies against EMH, some academics have questioned whether EMH is...

Persistent link: https://www.econbiz.de/10012237439