ESG Financial Market with Informed Traders within the Bachelier–Black–Scholes–Merton Model

Nancy Asare Nyarko, Bhathiya Divelgama, Peter Yegon, W. Brent Lindquist, Abootaleb Shirvani, Svetlozar T. Rachev, Frank J. Fabozzi

Research output: Contribution to journalArticlepeer-review

Abstract

This study seeks to advance the theory of dynamic asset pricing by introducing asset valuation, adjusted by environmental, social and governance (ESG) ratings, within a unified Bachelier–Black–Scholes–Merton market model, and developing option valuation in both continuous-time and discrete-time (binomial pricing tree) frameworks. An empirical study based on call option prices for assets selected from the Nasdaq-100 develops implied values for the main ESG parameter in the pricing model. For these stocks, option traders have in-the-money ESG valuations that are lower than the spot price. Within the discrete-time framework, we demonstrate how an informed trader can adopt a futures trading strategy to optimize an effective dividend stream.

Original languageEnglish
Article numbere250022
JournalJournal of Sustainability Research
Volume7
Issue number2
DOIs
StatePublished - Jun 2025

Keywords

  • Bachelier’s model
  • Black–Scholes–Merton model
  • ESG finance
  • binomial pricing trees
  • option prices

Fingerprint

Dive into the research topics of 'ESG Financial Market with Informed Traders within the Bachelier–Black–Scholes–Merton Model'. Together they form a unique fingerprint.

Cite this