Revealed Preference for Green Stocks: An Asset Demand Approach

68 Pages Posted: 8 Feb 2024 Last revised: 4 Mar 2024

See all articles by Aaron Mora

Aaron Mora

University of Pennsylvania

Date Written: January 20, 2024

Abstract

This paper combines a traditional portfolio construction problem with demand estimation techniques to estimate the demand for green stocks of US institutional investors. The methodology presented innovates along two dimensions with respect to recent influential work on asset demand estimation. First, in our framework investors have heterogeneous portfolios not only through differential beliefs about future returns, but also because they place varying importance on the non-financial characteristics of the portfolios they construct. Second, by using a mixed logit demand specification, we can estimate asset demand that delivers more realistic substitution patterns across assets. Using data on the environmental performance of firms and quarterly stock holdings data from institutional investors, we estimate the demand for stocks accounting for environmental scores and return-related stock characteristics. We find that taste for green stocks fluctuates over time and by investor’s assets under management. In a counterfactual exercise we study the equity price effects of a ban on green investing for pension funds; we find that a portfolio with the top brown stocks is estimated to have capital gains of 1.1% due to the policy, while a portfolio with the top green stocks is estimated to have capital losses of 1.6%.

Keywords: Asset Demand, Green Stocks, Institutional Investors, Mixed Logit Demand, Ban on green investing.

JEL Classification: G12; C58; D53.

Suggested Citation

Mora, Aaron, Revealed Preference for Green Stocks: An Asset Demand Approach (January 20, 2024). Jacobs Levy Equity Management Center for Quantitative Financial Research Paper , Available at SSRN: https://ssrn.com/abstract=4701362 or http://dx.doi.org/10.2139/ssrn.4701362

Aaron Mora (Contact Author)

University of Pennsylvania ( email )

Philiadelphia, PA
United States

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