Pricing Sin Stocks: Ethical Preference vs. Risk Aversion
Giuliano Curatola,
Stefano Colonnello and
Alessandro Gioffré
Authors registered in the RePEc Author Service: Alessandro Gioffré
Working Papers - Economics from Universita' degli Studi di Firenze, Dipartimento di Scienze per l'Economia e l'Impresa
Abstract:
We develop a model that reproduces the average return and volatility spread between sin and non-sin stocks. Our investors do not necessarily boycott sin companies. Rather, they are open to invest in any company while trading off dividends against ethicalness. We show that when dividends and ethicalness are complementary goods and investors are sufficiently risk averse, the model predicts that the dividend share of sin companies exhibits a positive relation with the future return and volatility spreads. Our empirical analysis supports the model's predictions.
Keywords: Asset Pricing; General Equilibrium; Sin Stocks (search for similar items in EconPapers)
JEL-codes: D51 D91 E20 G12 (search for similar items in EconPapers)
Pages: 59 pages
Date: 2018
New Economics Papers: this item is included in nep-mac and nep-upt
References: Add references at CitEc
Citations:
Downloads: (external link)
https://www.disei.unifi.it/upload/sub/pubblicazioni/repec/pdf/wp05_2018.pdf (application/pdf)
Related works:
Journal Article: Pricing sin stocks: Ethical preference vs. risk aversion (2019) 
Working Paper: Pricing sin stocks: Ethical preference vs. risk aversion (2018) 
Working Paper: Pricing sin stocks: Ethical preference vs. risk aversion (2017) 
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:frz:wpaper:wp2018_05.rdf
Access Statistics for this paper
More papers in Working Papers - Economics from Universita' degli Studi di Firenze, Dipartimento di Scienze per l'Economia e l'Impresa Via delle Pandette 9 50127 - Firenze - Italy. Contact information at EDIRC.
Bibliographic data for series maintained by Giorgio Ricchiuti ().