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  • Search: subject:"Multifractality"
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Year of publication
Subject
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Multifractality 84 Volatility 24 Volatilität 23 multifractality 21 Efficient market hypothesis 19 Effizienzmarkthypothese 19 Time series analysis 16 Zeitreihenanalyse 14 Börsenkurs 13 MF-DFA 13 Share price 12 Welt 12 World 12 Coronavirus 11 Hurst exponent 10 Theorie 10 Financial market 9 Finanzmarkt 9 Stock market 9 Theory 9 market efficiency 9 Generalized Hurst exponent 8 Virtual currency 8 Virtuelle Währung 8 Capital income 7 Kapitaleinkommen 7 Aktienmarkt 6 Efficiency 6 Financial markets 6 Impact assessment 6 Wirkungsanalyse 6 multi-fractality 6 COVID-19 5 Detrended fluctuation analysis 5 Econophysics 5 Estimation 5 Oil market 5 Scaling 5 Schätzung 5 Stock markets 5
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Online availability
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Undetermined 99 Free 24 CC license 4
Type of publication
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Article 112 Book / Working Paper 19 Other 1
Type of publication (narrower categories)
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Article in journal 37 Aufsatz in Zeitschrift 37 Working Paper 9 Arbeitspapier 4 Graue Literatur 4 Non-commercial literature 4 Article 2 research-article 1
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Language
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Undetermined 80 English 52
Author
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Lux, Thomas 7 Gu, Rongbao 5 Takaishi, Tetsuya 5 Aslam, Faheem 4 Lu, Xinsheng 4 Wang, Yudong 4 Zhou, Ying 4 Bickley, Steve J. 3 Brumpton, Martin 3 Bunde, Armin 3 Chan, Ho Fai 3 Chen, Shu-Peng 3 Colthurst, Richard 3 Drożdż, S. 3 El Alaoui, Marwane 3 Ferreira, Paulo 3 Gronwald, Marc 3 He, Ling-Yun 3 Kantelhardt, Jan W. 3 Kwapień, J. 3 Li, Zhihui 3 Oświe¸cimka, P. 3 Sattarhoff, Cristina 3 Tian, Jie 3 Torgler, Benno 3 Ali, Haider 2 Aste, Tomaso 2 Aydin, Zehra Berna 2 Bariviera, Aurelio Fernández 2 Benbachir, Saâd 2 Bershadskii, A. 2 Bogachev, Mikhail I. 2 Di Matteo, T. 2 Ghosh, Dipak 2 Gursakal, Necmi 2 Gursakal, Sevda 2 Khan, Khalid 2 Liu, Li 2 Loukil, Nadia 2 Mensi, Walid 2
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Institution
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Society for Computational Economics - SCE 2 University of Bonn, Germany 2 Volkswirtschaftliche Fakultät, Ludwig-Maximilians-Universität München 2 EconWPA 1 Faculty of Business, Auckland University of Technology 1 Institut für Volkswirtschaftslehre, Christian-Albrechts-Universität Kiel 1
Published in...
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Physica A: Statistical Mechanics and its Applications 66 Finance research letters 5 Computational economics 3 Energy economics 3 Research in international business and finance 3 Discussion Paper Serie B 2 International Journal of Sustainable Economy 2 Journal of Risk and Financial Management 2 Journal of risk and financial management : JRFM 2 MPRA Paper 2 Annals of Faculty of Economics 1 Annals of financial economics 1 Applied economics 1 Asia Pacific financial markets 1 CEIS Tor Vergata research papers : CEIS Tor Vergata research paper series 1 CESifo Working Paper 1 CESifo working papers 1 CREMA Working Paper 1 Computational Statistics 1 Computing in Economics and Finance 2001 1 Computing in Economics and Finance 2003 1 Economic modelling 1 Economic research 1 Economics Working Paper 1 Economics Working Paper Series 1 Economics Working Papers / Institut für Volkswirtschaftslehre, Christian-Albrechts-Universität Kiel 1 Economies : open access journal 1 Eurasian economic review : a journal in applied macroeconomics and finance 1 Finance 1 Global Business and Economics Review 1 International Journal of Emerging Markets 1 International Journal of Financial Markets and Derivatives 1 International journal of computational economics and econometrics 1 International review of financial analysis 1 Journal of business & economics research 1 Journal of economics and finance : JEF 1 Journal of forecasting 1 Journal of management science and engineering 1 Journal of quantitative economics 1 Kiel Working Paper 1
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Source
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RePEc 81 ECONIS (ZBW) 41 EconStor 8 BASE 1 Other ZBW resources 1
Showing 121 - 130 of 132
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Scaling, self-similarity and multifractality in FX markets
Xu, Zhaoxia; Gençay, Ramazan - In: Physica A: Statistical Mechanics and its Applications 323 (2003) C, pp. 578-590
This paper presents an empirical investigation of scaling and multifractal properties of US Dollar–Deutschemark (USD–DEM) returns. The data set is ten years of 5-min returns. The cumulative return distributions of positive and negative tails at different time intervals are linear in the...
Persistent link: https://www.econbiz.de/10010872935
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The Multi-Fractal Model of Asset Returns:Its Estimation via GMM and Its Use for Volatility Forecasting
Lux, Thomas - Society for Computational Economics - SCE - 2003
Persistent link: https://www.econbiz.de/10005706788
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Multifractality of river runoff and precipitation: comparison of fluctuation analysis and wavelet methods
Kantelhardt, Jan W.; Rybski, Diego; Zschiegner, Stephan A. - In: Physica A: Statistical Mechanics and its Applications 330 (2003) 1, pp. 240-245
weaker, but still significant multifractality. For all runoff records the type of multifractality is consistent with a …
Persistent link: https://www.econbiz.de/10010588560
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Multiscality in the dynamics of coupled chaotic systems
Pavlov, A.N; Sosnovtseva, O.V; Ziganshin, A.R; … - In: Physica A: Statistical Mechanics and its Applications 316 (2002) 1, pp. 233-249
We investigate the scaling features of complex motions in systems of two coupled chaotic oscillators by means of the wavelet-transform modulus maxima method and the detrended fluctuation analysis. We show that the transition from asynchronous to synchronous dynamics typically reduces the degree...
Persistent link: https://www.econbiz.de/10010589068
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Multifractal characteristics of silica xerogels gelated in various evaporation conditions
Huang, Wen Lai; Cui, Shi Hua; Yuan, Zhang Fu; Liang, … - In: Physica A: Statistical Mechanics and its Applications 312 (2002) 1, pp. 70-78
An acid-catalyzed TEOS system has gelated under four different solvent evaporation conditions, and the singularity spectra of the resultant xerogels have been determined with image analysis methods and discussed in combination with their mesoporosity values. Generally, larger scale of...
Persistent link: https://www.econbiz.de/10010591477
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Multifractal behaviour of the estimated natural measure for colloidal cluster–cluster aggregation in 2-D
Martı́nez-López, F.; Cabrerizo-Vı́lchez, M.A.; … - In: Physica A: Statistical Mechanics and its Applications 291 (2001) 1, pp. 1-12
The cluster morphology and the aggregation dynamics in 2-D cluster–cluster aggregation experiments is characterized by examining the scaling of the natural measure. The calculated f(α) spectra display a typical multifractal behaviour. As expected, the order of the particles upon aggregation...
Persistent link: https://www.econbiz.de/10011061462
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The Multi-Fractal Model of Asset Returns: Simple Moment and GMM Estimation
Lux, Thomas - Society for Computational Economics - SCE - 2001
Multi-fractal processes have been proposed as a new formalism for modelling the time series of returns in finance. The major attraction of these processes is their capability of generating various degrees of long-memory in different powers of returns - a feature that has been found to...
Persistent link: https://www.econbiz.de/10005706741
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Scaling features of texts, images and time series
Pavlov, Alexey N.; Ebeling, Werner; Molgedey, Lutz; … - In: Physica A: Statistical Mechanics and its Applications 300 (2001) 1, pp. 310-324
In the given paper, we consider the scaling features of long letter sequences like human writings, discretized images and discretized financial data. Using several approaches we show that the symbolic strings and time series being analyzed have a complex multiscale structure and demonstrate...
Persistent link: https://www.econbiz.de/10010589902
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Invasion–percolation and statistics of US Treasury bonds
Bershadskii, A. - In: Physica A: Statistical Mechanics and its Applications 300 (2001) 3, pp. 539-550
lognormal distribution (corresponding to branching dimension d=2) for the largest cluster. An analogy with multifractality at …
Persistent link: https://www.econbiz.de/10010590551
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Multi-Fractal Processes as Models for Financial Returns: Multi-Fractal Processes as Models for Financial Returns: A First Assessment
Lux, Thomas - University of Bonn, Germany - 1999
Multi-fractal processes have been proposed as a new formalism for modeling the time series of returns in finance. The major attraction of these processes is their capability of generating various degrees of long-memory in different powers of returns - a feature that has been found to...
Persistent link: https://www.econbiz.de/10004968280
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