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An empirical framework to predict idiosyncratic risk in a time of crisis: Evidence from the restaurant industry

Nan Hua (Rosen College of Hospitality Management, University of Central Florida, Orlando, Florida, USA)
Michael C. Dalbor (William F. Harrah College of Hotel Administration, University of Nevada, Las Vegas, Nevada, USA)
Seoki Lee (School of Hospitality Management, The Pennsylvania State University, Pennsylvania, USA)
Priyanko Guchait (Conrad N. Hilton College of Hotel and Restaurant Management, University of Houston, Houston, Texas, USA)

International Journal of Contemporary Hospitality Management

ISSN: 0959-6119

Article publication date: 11 January 2016

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Abstract

Purpose

The purpose of this study is to invoke prospect theory to construct an empirical framework to predict idiosyncratic risk, and argue that when a firm performs better than its benchmarks, the firm tends to play safe by avoiding firm-specific risk to maintain its satisfactory performance level, but when a firm performs worse than its benchmarks, the firm may become aggressive with taking more risks to achieve an increased level of performance.

Design/methodology/approach

This study tested the relationships between restaurant firms’ future idiosyncratic risk and the proposed firm financial characteristics. Heteroscedasticity- and autocorrelation-consistent (HAC) standard errors (Newey and West, 1994) were used to deal with potential problems of autocorrelations and heteroscedasticity. The standard error of residuals from the Fama-French three-factor model (Fama and French, 1993) was estimated to proxy for restaurant idiosyncratic risk.

Findings

The main analysis reveals that five financial characteristics are significant predictors for restaurant firms’ future idiosyncratic risk in accordance with the proposed, negative relationship based on the prospect theory.

Practical implications

Managers may predict their competitors’ future risk-taking behaviors using the current study’s findings, which will provide competitive advantage in a highly competitive business environment that we have now. Also, in practice, restaurant investors may consider findings of this study in forecasting future risks of their portfolio to help evaluate and revise their portfolios.

Originality/value

First, this is a new endeavor of its kind dealing with the restaurant industry, filling the void in the literature in predicting the risk-taking behavior of restaurant firms in a time of crisis. Second, this study forms a prediction model that establishes “predictive causality” (Diebold, 2001) motivated by prospect theory. Third, building upon prior research, this study comprehensively examines relationships between the firm characteristics that capture firm-specific strategies (Ou and Penman, 1989) and the idiosyncratic risk that are “associated with firm-specific strategies” (Luo and Bhattacharya, 2009) in a restaurant setting. Finally, the findings of this study bear significant implications for practitioners and other parties of interest.

Keywords

Acknowledgements

The authors acknowledge the Caesars Foundation for providing funding for this research.

Citation

Hua, N., Dalbor, M.C., Lee, S. and Guchait, P. (2016), "An empirical framework to predict idiosyncratic risk in a time of crisis: Evidence from the restaurant industry", International Journal of Contemporary Hospitality Management, Vol. 28 No. 1, pp. 156-176. https://doi.org/10.1108/IJCHM-03-2014-0134

Publisher

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Emerald Group Publishing Limited

Copyright © 2016, Emerald Group Publishing Limited

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