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Advertising, research and development, and capital market risk: higher risk firms versus lower risk firms

    Miao-Ling Chen Affiliation
    ; Chi-Lu Peng Affiliation
    ; An-Pin Wei Affiliation

Abstract

This study examines how a firm's advertising and R&D affects the firm's β-risk and idiosyncratic risk, which are metrics of interest to both finance executives and senior management. Due to the existence of a non-normal and heteroscedasticity dataset, we use quantile regression to analyze the sample to understand the full behavior of our non-normally distributed datapoints. The evidence of this study shows that: (1) Advertising is significantly associated with lower β-risk for firms with lower, median and higher β-risk. (2) R&D significantly increases β-risk for firms with median and higher β-risk firms. (3) Advertising is significantly associated with lower idiosyncratic risk for firms with higher idiosyncratic risk. (4) R&D is significantly associated with higher idiosyncratic risk for firms with median and higher idiosyncratic risk. In summary, our evidence shows that both advertising and R&D have a stronger effect on firms with higher β- and idiosyncratic risk than on those with lower β- and idiosyncratic risk, respectively. Our findings are useful to help both management executives and investors. Firm managers can allocate limited resources more efficiently to reduce their firm risk; investors could exert their influence on firm's senior executives to make decisions that are beneficial to stock returns.

Keyword : β-risk, idiosyncratic risk, advertising, marketing, R&D, quantile regression, CAPM

How to Cite
Chen, M.-L., Peng, C.-L., & Wei, A.-P. (2012). Advertising, research and development, and capital market risk: higher risk firms versus lower risk firms. Journal of Business Economics and Management, 13(4), 724-744. https://doi.org/10.3846/16111699.2012.666998
Published in Issue
Sep 17, 2012
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