학술논문

ESG-Valued Portfolio Optimization and Dynamic Asset Pricing
Document Type
Working Paper
Source
Subject
Quantitative Finance - Portfolio Management
Quantitative Finance - Pricing of Securities
Language
Abstract
ESG ratings provide a quantitative measure for socially responsible investment. We present a unified framework for incorporating numeric ESG ratings into dynamic pricing theory. Specifically, we introduce an ESG-valued return that is a linearly constrained transformation of financial return and ESG score. This leads to a more complex portfolio optimization problem in a space governed by reward, risk and ESG score. The framework preserves the traditional risk aversion parameter and introduces an ESG affinity parameter. We apply this framework to develop ESG-valued: portfolio optimization; capital market line; risk measures; option pricing; and the computation of shadow riskless rates.
Comment: Main article: 51 pages, 11 figures, 5 tables. Supplementary appendix: 17 pages, 11 figures, 6 tables