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000826424 019__ $$a1026299916$$a1026697875$$a1027187691$$a1029081602$$a1030296607
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000826424 0247_ $$a10.1007/978-981-10-7916-0$$2doi
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000826424 050_4 $$aHG176.7
000826424 08204 $$a332$$223
000826424 1001_ $$aCao, Guangxi.
000826424 24510 $$aMultifractal detrended analysis method and its application in financial markets /$$cGuangxi Cao, Ling-Yun He, Jie Cao.
000826424 264_1 $$aSingapore :$$bSpringer,$$c[2018]
000826424 300__ $$a1 online resource.
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000826424 337__ $$acomputer$$bc$$2rdamedia
000826424 338__ $$aonline resource$$bcr$$2rdacarrier
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000826424 504__ $$aIncludes bibliographical references.
000826424 5050_ $$aIntro; Acknowledgements; Contents; 1 Introduction; 1.1 A Historical Evolution of Fractal Methods; 1.2 Application Areas; References; 2 Long Memory Methods and Comparative Analysis; 2.1 Methodology; 2.1.1 R/S and Modified R/S; 2.1.2 DFA Method; 2.2 Data; 2.3 Estimation and the Descriptive Statistics of the Time-Varying Hurst Exponent; 2.3.1 Estimation; 2.3.2 Descriptive Statistics; 2.4 Relationship Between the Two Time-Varying Hurst Exponent Series; 2.4.1 Unit Root Test; 2.4.2 Cointegration Test; 2.4.3 Granger Causality Test; 2.5 Conclusions; References
000826424 5058_ $$a3 Multifractal Detrended Fluctuation Analysis (MF-DFA)3.1 Methodology; 3.1.1 MF-DFA; 3.1.2 Partition Function; 3.2 Empirical Analysis on Developed-Emerging Agricultural Futures Markets; 3.2.1 Data; 3.2.2 Multifractal Spectrum Analysis; 3.2.3 Sources of Multifractality; 3.2.4 Comparative Analysis; 3.2.5 Conclusions; 3.3 Empirical Analysis on Crude Oil Markets; 3.3.1 Data; 3.3.2 Multifractality and Its Dynamical Formation Mechanisms; 3.3.3 Multifractal Detrended Fluctuation Analysis; 3.3.4 Sources of Multifractality; 3.3.5 Multifractal Analysis of Price Fluctuations at Different Scales
000826424 5058_ $$a3.3.6 ConclusionsReferences; 4 Multifractal Detrended Cross-Correlation Analysis (MF-DCCA); 4.1 Methodology; 4.2 Empirical Analysis on Chinese Stock-Exchange Market; 4.2.1 Data; 4.2.2 Cross-Correlation Test; 4.2.3 Multifractal Detrended Cross-Correlation Analysis; 4.2.4 Scaling Consistency Analysis; 4.2.5 Dynamics of Cross-Correlations Over Time; 4.2.6 Discussion; 4.2.6.1 Rolling Windows; 4.2.6.2 Relationship Between Bivariate Cross-Correlation Exponents and the Generalized Hurst Exponents; 4.2.6.3 Implications; 4.2.7 Conclusions
000826424 5058_ $$a4.3 Empirical Analysis on Price-Volume Relationships in Agricultural Commodity Futures Markets4.3.1 Data; 4.3.2 Cross-Correlation Test; 4.3.3 Results and Discussions; 4.3.4 Conclusions; References; 5 Asymmetric Multifractal Detrended Fluctuation Analysis (A-MFDFA); 5.1 Methodology; 5.1.1 A-MFDFA Method; 5.1.2 Asymmetric GARCH Model; 5.2 Empirical Analysis on Shanghai-Shenzhen Stock Market; 5.2.1 Data; 5.2.2 Empirical Results; 5.2.3 Discussion; 5.2.3.1 Origin of Multifractality with Different Trends; 5.2.3.2 Source of the Asymmetry; 5.2.3.3 Time-Varying Feature of Asymmetry; 5.2.4 Conclusions
000826424 5058_ $$a5.3 Empirical Analysis on International Gold Markets5.3.1 Descriptive Statistics Analysis of Gold Price; 5.3.2 Analysis of Asymmetric Scaling Behavior; 5.3.2.1 Asymmetry of the Fluctuation Function; 5.3.2.2 Estimating the Generalized Hurst Exponent H(q); 5.3.2.3 Analyzing the Multifractal Singularity Spectrum; 5.3.2.4 Time-Varying Analysis of Multifractal Asymmetry; 5.3.3 Discussion; 5.3.3.1 Statistical Tests; 5.3.3.2 Origin of Multifractality with Different Trends; 5.3.3.3 Source of the Asymmetry; 5.3.4 Asymmetric Influences of Good and Bad News on Gold Price Fluctuation; 5.3.5 Conclusions
000826424 506__ $$aAccess limited to authorized users.
000826424 520__ $$aThis book collects high-quality papers on the latest fundamental advances in the state of Econophysics and Management Science, providing insights that address problems concerning the international economy, social development and economic security. This book applies the multi-fractal detrended class method, and improves the method with different filters. The authors apply those methods to a variety of areas: financial markets, energy markets, gold market and so on. This book is arguably a systematic research and summary of various kinds of multi-fractal detrended methods. Furthermore, it puts forward some investment suggestions on a healthy development of financial markets.
000826424 588__ $$aVendor-supplied metadata.
000826424 650_0 $$aFinancial engineering.
000826424 650_0 $$aEconophysics.
000826424 650_0 $$aManagement science.
000826424 7001_ $$aHe, Ling-Yun.
000826424 7001_ $$aCao, Jie.
000826424 77608 $$iPrint version: $$z9811079153$$z9789811079153$$w(OCoLC)1015840652
000826424 852__ $$bebk
000826424 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-981-10-7916-0$$zOnline Access$$91397441.1
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