Capturing the Impact of Unobserved Sector-Wide Shocks on Stock Returns with Panel Data Model

Hong, K.J., Peng, Bin and Zhang, X. (2015) Capturing the Impact of Unobserved Sector-Wide Shocks on Stock Returns with Panel Data Model. Economic Record, 91 (295). pp. 495-508.

Abstract

Unobserved sector-wide common shocks cause the issue of cross-sectional dependence (CSD) in panel data modelling of stock returns. In this study we apply two econometric techniques: the seemingly unrelated regression approach and a Bayesian estimator for panel data models with factor structural errors, to allow for CSD within a particular sector. By applying these models to monthly stock returns of S&P100 companies from six sectors over 10 years, we can capture and measure the heterogeneous impacts of not only observed individual company accounting fundamentals and market-wide common shocks, but also unobservable sector-wide common shocks. Results from the empirical study show that the impacts from both observed factors and unobserved sector-wide common shocks vary markedly across companies. After controlling for observed accounting fundamentals and market-wide common factors, a considerable proportion of the variation in stock returns can be attributed to unobservable sector-wide common shocks.

Item Type:	Journal Article
Murdoch Affiliation:	School of Management and Governance
Publisher:	Wiley
Copyright:	Economic Society of Australia
Notes:	Online 4 August 2015
URI:	http://researchrepository.murdoch.edu.au/id/eprint/28180

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