Growth opportunities and asymmetric risk: An empirical investigation of upside and downside Beta

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Authors: Paulo Morais Francisco
Cited by: 1
References: 58

Abstract

: This paper investigates how corporate growth opportunities determine asymmetric market risk by distinguishing a firm’s upside beta (β + ) from its downside beta (β - ). Using a cross-section of 10,288 publicly listed firms in 93 countries, we relate 2-, 3-, and 5-year betas to three proxies for growth opportunities—market-to-book (M/B), R&D intensity, and CAPEX intensity. Our results show that firms with high market-to-book (M/B) ratios exhibit significantly lower β - over both two- and five-year horizons, indicating that growth stocks have materially less downside sensitivity than low M/B (value) firms. This finding accords with Zhang’s (2005) argument that capital-light firms can scale down operations more flexibly, thereby mitigating exposure to market declines. R&D-intensive firms consistently register a negative β + and an insignificant β - , a profile that is likely driven by long development lags and the intangible nature of innovation investments that delay cash-flow realization and dampen participation in market rallies without exacerbating downside risk. CAPEX-intensive firms tend to exhibit higher systematic risk, consistent with Zhang’s (2005) investment-based framework: large, partially irreversible physical investments increase exposure to aggregate conditions. These results demonstrate that reliance on a single, unconditional beta conceals important state-dependent risk asymmetries. Decomposing beta into its upside and downside components offers a more granular understanding of how specific growth attributes affect conditional systematic exposure. This refined perspective advances theoretical models of the growth–risk nexus and may prove useful in applications such as cost of equity capital estimation and portfolio allocation.

Fields of Study & Subjects

Agricultural risk and resilience Decision-Making and Behavioral Economics Psychometric Methodologies and Testing

Publication details

Journal / source
International Review of Economics & Finance
Publisher
Elsevier BV
Volume
106
Pages
105033–105033
Publication date
17 February 2026
Language
EN