Literature DB >> 34172577

Evolution in pecunia.

Rabah Amir1,2,3, Igor V Evstigneev4,5, Thorsten Hens6,7,8, Valeriya Potapova4, Klaus R Schenk-Hoppé4,7.   

Abstract

The paper models evolution in pecunia-in the realm of finance. Financial markets are explored as evolving biological systems. Diverse investment strategies compete for the market capital invested in long-lived dividend-paying assets. Some strategies survive and some become extinct. The basis of our paper is that dividends are not exogenous but increase with the wealth invested in an asset, as is the case in a production economy. This might create a positive feedback loop in which more investment in some asset leads to higher dividends which in turn lead to higher investments. Nevertheless, we are able to identify a unique evolutionary stable investment strategy. The problem is studied in a framework combining stochastic dynamics and evolutionary game theory. The model proposed employs only objectively observable market data, in contrast with traditional settings relying upon unobservable investors' characteristics (utilities and beliefs). Our method is analytical and based on mathematical reasoning. A numerical illustration of the main result is provided.

Keywords:  evolutionarily stable investment strategies; evolutionary finance; local stability; stochastic dynamics; survival

Year:  2021        PMID: 34172577      PMCID: PMC8255991          DOI: 10.1073/pnas.2016514118

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  2 in total

1.  The "fallacy" of maximizing the geometric mean in long sequences of investing or gambling.

Authors:  P A Samuelson
Journal:  Proc Natl Acad Sci U S A       Date:  1971-10       Impact factor: 11.205

2.  Evolutionarily stable strategies for a finite population and a variable contest size.

Authors:  M E Schaffer
Journal:  J Theor Biol       Date:  1988-06-22       Impact factor: 2.691

  2 in total
  1 in total

1.  Introduction to PNAS special issue on evolutionary models of financial markets.

Authors:  Simon A Levin; Andrew W Lo
Journal:  Proc Natl Acad Sci U S A       Date:  2021-06-29       Impact factor: 11.205

  1 in total

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