John Paul Broussard
John Paul Broussard

More Than Meets the Eye (or Ear): Surprising Microstructure Effects of Fed Chair Nonverbal Cues in High-Frequency Markets

More Than Meets the Eye (or Ear): Surprising Microstructure Effects of Fed Chair Nonverbal Cues in High-Frequency Markets

26/08/2025

AI and machine learning in finance;Financial markets;Market microstructure

9:00

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9:30

We offer a new metric, "net-zero alignment strength" (NZAS), which can be used by socially responsible investors for portfolio selection. NZAS is based on the current corporate GHG emission intensity (EI) and its reduction rate (ERR) and, hence, can be used for choosing among the companies with high EI and high ERR versus the companies with low EI and low ERR. We have incorporated NZAS into the mean-variance portfolio (MVP) framework, which yields simultaneous optimization upon high returns and NZAS, and low price volatility. The NZAS contribution to the MVP minimization function is controlled by the net-zero commitment parameter, which is investor’s choice. An example for a portfolio with 29 major constituents of the Energy sector illustrates an interplay between the company Sharpe ratios and NZAS, which determines the effects of the net-zero commitment on the major portfolio holdings. We suggest to use this framework for finding the best-in-class companies within the chosen equity sectors.

We offer a new metric, "net-zero alignment strength" (NZAS), which can be used by socially responsible investors for portfolio selection. NZAS is based on the current corporate GHG emission intensity (EI) and its reduction rate (ERR) and, hence, can be used for choosing among the companies with high EI and high ERR versus the companies with low EI and low ERR. We have incorporated NZAS into the mean-variance portfolio (MVP) framework, which yields simultaneous optimization upon high returns and NZAS, and low price volatility. The NZAS contribution to the MVP minimization function is controlled by the net-zero commitment parameter, which is investor’s choice. An example for a portfolio with 29 major constituents of the Energy sector illustrates an interplay between the company Sharpe ratios and NZAS, which determines the effects of the net-zero commitment on the major portfolio holdings. We suggest to use this framework for finding the best-in-class companies within the chosen equity sectors.

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