LEADER 04072nam  2201045z- 450 
001 9910637783203321
005 20231214133212.0
010   $a3-0365-5806-3
035   $a(CKB)5470000001631705
035   $a(oapen)https://directory.doabooks.org/handle/20.500.12854/94551
035   $a(EXLCZ)995470000001631705
100   $a20202212d2022      |y             0
101 0 $aeng
135   $aurmn|---annan
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aEntropy-Based Applications in Economics, Finance, and Management
210   $aBasel$cMDPI - Multidisciplinary Digital Publishing Institute$d2022
215   $a1 electronic resource (276 p.)
311   $a3-0365-5805-5 
330   $aThis 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.
606   $aInformation technology industries$2bicssc
606   $aComputer science$2bicssc
610   $acrowded trading
610   $atail-risk
610   $afinancial stability
610   $aentropy
610   $amarket microstructure
610   $adimensions of market liquidity
610   $amarket depth
610   $ahigh-frequency data
610   $aintra-day seasonality
610   $abond market
610   $afixed income security
610   $arisk spillovers
610   $astructural entropy
610   $ageneralized variance decomposition
610   $acomplex network
610   $acredit-to-GDP gap
610   $acoherence
610   $asimilarity
610   $asynchronicity
610   $aCentral and Eastern European countries
610   $acryptocurrencies
610   $amutual information
610   $atransfer entropy
610   $adynamic time warping
610   $ainterval numbers
610   $aMCGDM
610   $aTOPSIS
610   $aobjective weights
610   $afinancial markets
610   $amonetary policy
610   $anetworks
610   $afuzzy c-means classification method
610   $aCOVID-19
610   $aepidemic states
610   $aEurope
610   $astock market
610   $amarket connectedness
610   $acrisis
610   $anonlinear dynamics
610   $achaos
610   $abutterfly effect
610   $aenergy futures
610   $aMean Logarithmic Deviation
610   $aShannon entropy
610   $aincome inequality
610   $ahousehold income
610   $adecomposition of income inequality
610   $aEU-SILC
610   $aRe?nyi entropy
610   $aRe?nyi transfer entropy
610   $aRo?ssler system
610   $amultivariate time series
610   $aSample Entropy (SampEn)
610   $astock market index
610   $aregularity
610   $apredictability
610   $aGlobal Financial Crisis
610   $arolling-window
615  7$aInformation technology industries
615  7$aComputer science
700   $aOlbrys?$b Joanna$4edt$01285500
702   $aOlbrys?$b Joanna$4oth
906   $aBOOK
912   $a9910637783203321
996   $aEntropy-Based Applications in Economics, Finance, and Management$93019611
997   $aUNINA