Financial Econometrics: Bayesian Analysis, Quantum Uncertainty, and Related Topics

Released on by Nguyen Ngoc Thach
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  • Financial Econometrics: Bayesian Analysis, Quantum Uncertainty, and Related Topics Book Detail

  • Author : Nguyen Ngoc Thach
  • Release Date : 2022-05-28
  • Publisher : Springer Nature
  • Genre : Technology & Engineering
  • Pages : 865
  • ISBN 13 : 3030986896
  • File Size : 9,9 MB
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Financial Econometrics: Bayesian Analysis, Quantum Uncertainty, and Related Topics by Nguyen Ngoc Thach PDF Summary

Book Description: This book overviews latest ideas and developments in financial econometrics, with an emphasis on how to best use prior knowledge (e.g., Bayesian way) and how to best use successful data processing techniques from other application areas (e.g., from quantum physics). The book also covers applications to economy-related phenomena ranging from traditionally analyzed phenomena such as manufacturing, food industry, and taxes, to newer-to-analyze phenomena such as cryptocurrencies, influencer marketing, COVID-19 pandemic, financial fraud detection, corruption, and shadow economy. This book will inspire practitioners to learn how to apply state-of-the-art Bayesian, quantum, and related techniques to economic and financial problems and inspire researchers to further improve the existing techniques and come up with new techniques for studying economic and financial phenomena. The book will also be of interest to students interested in latest ideas and results.

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Bayesian Econometrics

Bayesian Econometrics

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Since the advent of Markov chain Monte Carlo (MCMC) methods in the early 1990s, Bayesian methods have been proposed for a large and growing number of applicatio