Entropy, the Information Processing Cycle, and the Forecasting of Bull and Bear Market Peaks and Troughs

Author:

Parker Edgar1

Affiliation:

1. New York Life Insurance Company, Bayonne, USA

Abstract

Many econophysics applications have modeled financial systems as if they were pure physical systems devoid of human limitations and errors. On the other hand, traditional financial theory has ignored limits that physics would impose on human interactions, communications, and computational abilities. The entropic yield curve blends the physical and human financial worlds in a new, powerful, and surprisingly simple way. This article uses this information theoretic perspective to provide a new explanation of the dynamics and timing of financial cycles. Additionally, the entropic yield curve offers a new method of forecasting market peaks and troughs.

Publisher

IGI Global

Subject

General Medicine

Reference10 articles.

1. Albuquerque, R., Eichenbaum, M., Papanikolaou, D., & Rebelo, S. (2015). Long-run bulls and bears. Journal of Monetary Economics, 76(S), 21-36.

2. Entropy, Shannon’s measure of information and Boltzmann’s h-theorem.;A.Ben-Naim;Entropy,2017

3. Data transmission over a discrete channel with feedback, random transmission time.;M.Burnashev;Problems of Information Transmission,1976

4. Predicting Volatility in the Foreign Exchange Market

5. How to Identify and Forecast Bull and Bear Markets?

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