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Shannon entropy to quantify complexity in the financial market

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  • Alexis Rodriguez Carranza
  • Jos'e Luis Ponte Bejarano
  • Juan Carlos Ponte Bejarano
  • Segundo Eloy Soto Abanto

Abstract

In this paper we study the complexity in the information traffic that occurs in the peruvian financial market, using the Shannon entropy. Different series of prices of shares traded on the Lima stock exchange are used to reconstruct the unknown dynamics. We present numerical simulations on the reconstructed dynamics and we calculate the Shannon entropy to measure its complexity

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  • Alexis Rodriguez Carranza & Jos'e Luis Ponte Bejarano & Juan Carlos Ponte Bejarano & Segundo Eloy Soto Abanto, 2023. "Shannon entropy to quantify complexity in the financial market," Papers 2307.08666, arXiv.org.
    • Handle: RePEc:arx:papers:2307.08666
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    References listed on IDEAS

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    1. Maasoumi, Esfandiar & Racine, Jeff, 2002. "Entropy and predictability of stock market returns," Journal of Econometrics, Elsevier, vol. 107(1-2), pages 291-312, March.
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