Entropy-Based Applications in Economics, Finance, and Management

This book presents selected entropy-based applications in economics, finance and management research. The high-quality studies included in this book propose and discuss new tools and concepts derived from information theory to investigate various aspects of entropy with an assortment of applications...

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Bibliographic Details
Other Authors: Olbryś, Joanna (Editor)
Format: Electronic Book Chapter
Language:English
Published: Basel MDPI - Multidisciplinary Digital Publishing Institute 2022
Subjects:
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DOAB: description of the publication
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245 1 0 |a Entropy-Based Applications in Economics, Finance, and Management 
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520 |a This book presents selected entropy-based applications in economics, finance and management research. The high-quality studies included in this book propose and discuss new tools and concepts derived from information theory to investigate various aspects of entropy with an assortment of applications. A wide variety of tools based on entropy confirms that entropy is potentially one of the most intricate scientific concepts. Such tools as Shannon entropy, transfer entropy, sample entropy, structural entropy, maximum entropy, fuzzy classification methods, chaos tools, etc., are utilized, and many topics in the fields of economics, finance and management are investigated. Among others, these topics comprise: market clustering, market microstructure, cryptocurrency market, market efficiency and regularity, risk spillovers, credit cycles, financial networks, income inequality, market relationships, causal inference in time series, group decision making, etc. 
540 |a Creative Commons  |f https://creativecommons.org/licenses/by/4.0/  |2 cc  |4 https://creativecommons.org/licenses/by/4.0/ 
546 |a English 
650 7 |a Information technology industries  |2 bicssc 
650 7 |a Computer science  |2 bicssc 
653 |a crowded trading 
653 |a tail-risk 
653 |a financial stability 
653 |a entropy 
653 |a market microstructure 
653 |a dimensions of market liquidity 
653 |a market depth 
653 |a high-frequency data 
653 |a intra-day seasonality 
653 |a bond market 
653 |a fixed income security 
653 |a risk spillovers 
653 |a structural entropy 
653 |a generalized variance decomposition 
653 |a complex network 
653 |a credit-to-GDP gap 
653 |a coherence 
653 |a similarity 
653 |a synchronicity 
653 |a Central and Eastern European countries 
653 |a cryptocurrencies 
653 |a mutual information 
653 |a transfer entropy 
653 |a dynamic time warping 
653 |a interval numbers 
653 |a MCGDM 
653 |a TOPSIS 
653 |a objective weights 
653 |a financial markets 
653 |a monetary policy 
653 |a networks 
653 |a fuzzy c-means classification method 
653 |a COVID-19 
653 |a epidemic states 
653 |a Europe 
653 |a stock market 
653 |a market connectedness 
653 |a crisis 
653 |a nonlinear dynamics 
653 |a chaos 
653 |a butterfly effect 
653 |a energy futures 
653 |a Mean Logarithmic Deviation 
653 |a Shannon entropy 
653 |a income inequality 
653 |a household income 
653 |a decomposition of income inequality 
653 |a EU-SILC 
653 |a Rényi entropy 
653 |a Rényi transfer entropy 
653 |a Rössler system 
653 |a multivariate time series 
653 |a Sample Entropy (SampEn) 
653 |a stock market index 
653 |a regularity 
653 |a predictability 
653 |a Global Financial Crisis 
653 |a rolling-window 
653 |a n/a 
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856 4 0 |a www.oapen.org  |u https://directory.doabooks.org/handle/20.500.12854/94551  |7 0  |z DOAB: description of the publication