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A Closer Look at the Modeling of Economics Data

Part of the Studies in Computational Intelligence book series (SCI,volume 809)

Abstract

By taking a closer look at the traditional way we used to proceed to conduct empirical research in economics, especially in using “traditional” proposed models for economical dynamics, we elaborate on current efforts to improve its research methodology. This consists essentially of focusing on the possible use of quantum mechanics formalism to derive dynamical models for economic variables, as well as the use of quantum probability as an appropriate uncertainty calculus in human decision process (under risk). This approach is not only in line with the recent emerging approach of behavioral economics, but also should provide an improvement upon it. For practical purposes, we will elaborate a bit on the concrete road map for applying this “quantum-like” approach to financial data.

Keywords

  • Behavioral econometrics
  • Bohmian mechanics
  • Financial models
  • Quantum mechanics
  • Quantum probability

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Correspondence to Hung T. Nguyen or Nguyen Ngoc Thach .

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Nguyen, H.T., Thach, N.N. (2019). A Closer Look at the Modeling of Economics Data. In: Kreinovich, V., Thach, N., Trung, N., Van Thanh, D. (eds) Beyond Traditional Probabilistic Methods in Economics. ECONVN 2019. Studies in Computational Intelligence, vol 809. Springer, Cham. https://doi.org/10.1007/978-3-030-04200-4_7

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