Corporate social performance as a market force: Analysing its impact on stocks’ tail risk and upside potential in the Spanish equity market

This study examines the impact of corporate social performance (CSP) and its subdimensions (workforce, human rights, community, and product responsibility) on firms’ tail risk and upside potential in the Spanish stock market. Focusing on the period from 2014 to 2021, annual corporate financial performance (CFP) metrics were computed through filtered historical simulation (FHS), a semiparametric approach based on Generalised Autoregressive Conditional Heteroskedasticity (GARCH) models and bootstrapping. This approach allows the main stylized facts of stock returns (i.e., autocorrelation, volatility clusters, and heavy tails) to be accounted for and, at the same time, firms’ financial performance to be computed from the simulated distribution. The main findings reveal a complex time-dependent connection between CSP and its subdimensions and firms’ tail risk and upside potential. In fact, while CSP reduces tail risk in the short term, it increases maximum loss in the long term. Interestingly, the results do not provide any evidence of the existence of a risk–return trade-off effect. Finally, the study highlights the need to monitor specific CSP subdimensions such as human rights and community, since they entail higher tail risk and lower upside potential.

Authors

Institutions

Publication Details

Journal
Cuadernos de Gestión
Published
2026-04-16
DOI
https://doi.org/10.5295/cdg.252386jg
Primary Topic
Corporate Social Responsibility Reporting
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Corporate social performance as a market force: Analysing its impact on stocks’ tail risk and upside potential in the Spanish equity market

Eduardo Ortas, Julen Galarza‐María, Jose M. Moneva
Cuadernos de Gestión
Corporate Social Responsibility Reporting
article

Corporate social performance as a market force: Analysing its impact on stocks’ tail risk and upside potential in the Spanish equity market

Eduardo Ortas, Julen Galarza‐María, Jose M. Moneva
article en

Abstract

This study examines the impact of corporate social performance (CSP) and its subdimensions (workforce, human rights, community, and product responsibility) on firms’ tail risk and upside potential in the Spanish stock market. Focusing on the period from 2014 to 2021, annual corporate financial performance (CFP) metrics were computed through filtered historical simulation (FHS), a semiparametric approach based on Generalised Autoregressive Conditional Heteroskedasticity (GARCH) models and bootstrapping. This approach allows the main stylized facts of stock returns (i.e., autocorrelation, volatility clusters, and heavy tails) to be accounted for and, at the same time, firms’ financial performance to be computed from the simulated distribution. The main findings reveal a complex time-dependent connection between CSP and its subdimensions and firms’ tail risk and upside potential. In fact, while CSP reduces tail risk in the short term, it increases maximum loss in the long term. Interestingly, the results do not provide any evidence of the existence of a risk–return trade-off effect. Finally, the study highlights the need to monitor specific CSP subdimensions such as human rights and community, since they entail higher tail risk and lower upside potential.

Cuadernos de GestiónVol. 26(1)
Universidad de Zaragoza (ES)
Ministerio de Ciencia, Innovación y Universidades, Gobierno de Aragón
Peace, Justice and strong institutions
Openalex Percentile: Top 20%
Corporate Social Responsibility Reporting
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.