Wpływ kryzysu finansowego na oszacowania wykładnika Hursta - analiza fraktalna cen wybranych metali
[Influence of financial crisis on Hurst exponent estimates - fractal analysis of selected metals prices]
Author
Abstract
Suggested Citation
Download full text from publisher
References listed on IDEAS
- Weron, Rafał, 2002.
"Estimating long-range dependence: finite sample properties and confidence intervals,"
Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 312(1), pages 285-299.
- Rafal Weron, 2001. "Estimating long range dependence: finite sample properties and confidence intervals," HSC Research Reports HSC/01/03, Hugo Steinhaus Center, Wroclaw University of Science and Technology.
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- Guglielmo Maria Caporale & Luis A. Gil-Alana & Alex Plastun, 2017.
"Long Memory and Data Frequency in Financial Markets,"
CESifo Working Paper Series
6396, CESifo.
- Guglielmo Maria Caporale & Luis A. Gil-Alana & Alex Plastun, 2017. "Long Memory and Data Frequency in Financial Markets," Discussion Papers of DIW Berlin 1647, DIW Berlin, German Institute for Economic Research.
- Vasile Brătian & Ana-Maria Acu & Camelia Oprean-Stan & Emil Dinga & Gabriela-Mariana Ionescu, 2021. "Efficient or Fractal Market Hypothesis? A Stock Indexes Modelling Using Geometric Brownian Motion and Geometric Fractional Brownian Motion," Mathematics, MDPI, vol. 9(22), pages 1-20, November.
- Ferreira, Paulo & Kristoufek, Ladislav, 2017. "What is new about covered interest parity condition in the European Union? Evidence from fractal cross-correlation regressions," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 486(C), pages 554-566.
- Auer, Benjamin R., 2016. "On the performance of simple trading rules derived from the fractal dynamics of gold and silver price fluctuations," Finance Research Letters, Elsevier, vol. 16(C), pages 255-267.
- Jebabli, Ikram & Roubaud, David, 2018.
"Time-varying efficiency in food and energy markets: Evidence and implications,"
Economic Modelling, Elsevier, vol. 70(C), pages 97-114.
- Ikram Jebabli & David Roubaud, 2018. "Time-varying efficiency in food and energy markets: Evidence and implications," Post-Print hal-02330557, HAL.
- Pirino, Davide, 2009. "Jump detection and long range dependence," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 388(7), pages 1150-1156.
- Karakatsanis, L.P. & Pavlos, G.P. & Iliopoulos, A.C. & Pavlos, E.G. & Clark, P.M. & Duke, J.L. & Monos, D.S., 2018. "Assessing information content and interactive relationships of subgenomic DNA sequences of the MHC using complexity theory approaches based on the non-extensive statistical mechanics," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 505(C), pages 77-93.
- A. Gómez-Águila & J. E. Trinidad-Segovia & M. A. Sánchez-Granero, 2022. "Improvement in Hurst exponent estimation and its application to financial markets," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 8(1), pages 1-21, December.
- Garcin, Matthieu, 2017. "Estimation of time-dependent Hurst exponents with variational smoothing and application to forecasting foreign exchange rates," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 483(C), pages 462-479.
- Jahanshahi, Hadi & Munoz-Pacheco, Jesus M. & Bekiros, Stelios & Alotaibi, Naif D., 2021. "A fractional-order SIRD model with time-dependent memory indexes for encompassing the multi-fractional characteristics of the COVID-19," Chaos, Solitons & Fractals, Elsevier, vol. 143(C).
- Grith, Maria & Härdle, Wolfgang Karl & Kneip, Alois & Wagner, Heiko, 2016. "Functional principal component analysis for derivatives of multivariate curves," SFB 649 Discussion Papers 2016-033, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
- Yuke Zhou & Junfu Fan & Xiaoying Wang, 2020. "Assessment of varying changes of vegetation and the response to climatic factors using GIMMS NDVI3g on the Tibetan Plateau," PLOS ONE, Public Library of Science, vol. 15(6), pages 1-25, June.
- Kristoufek, Ladislav, 2018. "Fractality in market risk structure: Dow Jones Industrial components case," Chaos, Solitons & Fractals, Elsevier, vol. 110(C), pages 69-75.
- Ladislav Krištoufek, 2010. "Dlouhá paměť a její vývoj ve výnosech burzovního indexu PX v letech 1997-2009 [Long-Term Memory and Its Evolution in Returns of Stock Index PX Between 1997 and 2009]," Politická ekonomie, Prague University of Economics and Business, vol. 2010(4), pages 471-487.
- Marin-Lopez, A. & Martínez-Cadena, J.A. & Martinez-Martinez, F. & Alvarez-Ramirez, J., 2023. "Surrogate multivariate Hurst exponent analysis of gait dynamics," Chaos, Solitons & Fractals, Elsevier, vol. 172(C).
- Kristoufek, Ladislav, 2014.
"Leverage effect in energy futures,"
Energy Economics, Elsevier, vol. 45(C), pages 1-9.
- Ladislav Kristoufek, 2014. "Leverage effect in energy futures," Papers 1403.0064, arXiv.org.
- Kristoufek, Ladislav, 2014. "Leverage effect in energy futures," FinMaP-Working Papers 17, Collaborative EU Project FinMaP - Financial Distortions and Macroeconomic Performance: Expectations, Constraints and Interaction of Agents.
- Alessandro Stringhi & Silvia Figini, 2016. "How to improve accuracy for DFA technique," Papers 1602.00629, arXiv.org.
- Jiang, Zhi-Qiang & Xie, Wen-Jie & Zhou, Wei-Xing, 2014.
"Testing the weak-form efficiency of the WTI crude oil futures market,"
Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 405(C), pages 235-244.
- Zhi-Qiang Jiang & Wen-Jie Xie & Wei-Xing Zhou, 2012. "Testing the weak-form efficiency of the WTI crude oil futures market," Papers 1211.4686, arXiv.org.
- Kristoufek, Ladislav, 2012.
"How are rescaled range analyses affected by different memory and distributional properties? A Monte Carlo study,"
Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(17), pages 4252-4260.
- Ladislav Kristoufek, 2012. "How are rescaled range analyses affected by different memory and distributional properties? A Monte Carlo study," Papers 1201.3511, arXiv.org.
- Kristoufek, Ladislav, 2015.
"Finite sample properties of power-law cross-correlations estimators,"
Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 419(C), pages 513-525.
- Ladislav Kristoufek, 2014. "Finite sample properties of power-law cross-correlations estimators," Papers 1409.6857, arXiv.org.
More about this item
Keywords
Rescaled range analysis; Hurst exponent; fractal dimension; financial crisis;All these keywords.
JEL classification:
- G01 - Financial Economics - - General - - - Financial Crises
- G17 - Financial Economics - - General Financial Markets - - - Financial Forecasting and Simulation
Statistics
Access and download statisticsCorrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:pra:mprapa:59710. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Joachim Winter (email available below). General contact details of provider: https://edirc.repec.org/data/vfmunde.html .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.