Noise traders or Fundamentalists? A Wavelet approach
Author
Abstract
Suggested Citation
Download full text from publisher
References listed on IDEAS
- Muller, Ulrich A. & Dacorogna, Michel M. & Dave, Rakhal D. & Olsen, Richard B. & Pictet, Olivier V. & von Weizsacker, Jacob E., 1997. "Volatilities of different time resolutions -- Analyzing the dynamics of market components," Journal of Empirical Finance, Elsevier, vol. 4(2-3), pages 213-239, June.
Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
Cited by:
- Benhmad, François, 2013. "Dynamic cyclical comovements between oil prices and US GDP: A wavelet perspective," Energy Policy, Elsevier, vol. 57(C), pages 141-151.
- Benhmad, François, 2013. "Bull or bear markets: A wavelet dynamic correlation perspective," Economic Modelling, Elsevier, vol. 32(C), pages 576-591.
- BEN ABDALLAH Mohamed & TALBI Omar, 2024. "A Wavelet Analysis of Bitcoin Price Volatility Dynamic," International Journal of Research and Innovation in Social Science, International Journal of Research and Innovation in Social Science (IJRISS), vol. 8(1), pages 951-964, January.
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.- Hasan, Mudassar & Arif, Muhammad & Naeem, Muhammad Abubakr & Ngo, Quang-Thanh & Taghizadeh–Hesary, Farhad, 2021. "Time-frequency connectedness between Asian electricity sectors," Economic Analysis and Policy, Elsevier, vol. 69(C), pages 208-224.
- Christophe Chorro & Florian Ielpo & Benoît Sévi, 2017. "The contribution of jumps to forecasting the density of returns," Post-Print halshs-01442618, HAL.
- Gkillas, Konstantinos & Gupta, Rangan & Pierdzioch, Christian, 2020.
"Forecasting realized oil-price volatility: The role of financial stress and asymmetric loss,"
Journal of International Money and Finance, Elsevier, vol. 104(C).
- Konstantinos Gkillas & Rangan Gupta & Christian Pierdzioch, 2019. "Forecasting Realized Oil-Price Volatility: The Role of Financial Stress and Asymmetric Loss," Working Papers 201903, University of Pretoria, Department of Economics.
- Mehmet Balcilar & Elie Bouri & Rangan Gupta & Christian Pierdzioch, 2021.
"El Niño, La Niña, and the Forecastability of the Realized Variance of Heating Oil Price Movements,"
Sustainability, MDPI, vol. 13(14), pages 1-23, July.
- Mehmet Balcilar & Elie Bouri & Rangan Gupta & Christian Pierdzioch, 2021. "El Nino, La Nina, and the Forecastability of the Realized Variance of Heating Oil Price Movements," Working Papers 202138, University of Pretoria, Department of Economics.
- Dufour, Jean-Marie & García, René, 2008. "Measuring causality between volatility and returns with high-frequency data," UC3M Working papers. Economics we084422, Universidad Carlos III de Madrid. Departamento de EconomÃa.
- Bubák, Vít & Kocenda, Evzen & Zikes, Filip, 2011.
"Volatility transmission in emerging European foreign exchange markets,"
Journal of Banking & Finance, Elsevier, vol. 35(11), pages 2829-2841, November.
- Vít Bubák & Evžen Kocenda & Filip Zikes, 2010. "Volatility Transmission in Emerging European Foreign Exchange Markets," CESifo Working Paper Series 3063, CESifo.
- Evzen Kocenda & Vit Bubak & Filip Zikes, 2011. "Volatility Transmission in Emerging European Foreign Exchange Markets," William Davidson Institute Working Papers Series wp1020, William Davidson Institute at the University of Michigan.
- Kaijian He & Rui Zha & Jun Wu & Kin Keung Lai, 2016. "Multivariate EMD-Based Modeling and Forecasting of Crude Oil Price," Sustainability, MDPI, vol. 8(4), pages 1-11, April.
- Harry-Paul Vander Elst, 2015.
"FloGARCH: Realizing Long Memory and Asymmetries in Returns Valitility,"
Working Papers ECARES
ECARES 2015-12, ULB -- Universite Libre de Bruxelles.
- Harry Vander Elst, 2015. "FloGARCH : Realizing long memory and asymmetries in returns volatility," Working Paper Research 280, National Bank of Belgium.
- van Eyden, Reneé & Gupta, Rangan & Nielsen, Joshua & Bouri, Elie, 2023.
"Investor sentiment and multi-scale positive and negative stock market bubbles in a panel of G7 countries,"
Journal of Behavioral and Experimental Finance, Elsevier, vol. 38(C).
- Renee van Eyden & Rangan Gupta & Joshua Nielsen & Elie Bouri, 2022. "Investor Sentiment and Multi-Scale Positive and Negative Stock Market Bubbles in a Panel of G7 Countries," Working Papers 202256, University of Pretoria, Department of Economics.
- A. Corcos & J-P Eckmann & A. Malaspinas & Y. Malevergne & D. Sornette, 2002.
"Imitation and contrarian behaviour: hyperbolic bubbles, crashes and chaos,"
Quantitative Finance, Taylor & Francis Journals, vol. 2(4), pages 264-281.
- A. Corcos & J. -P. Eckmann & A. Malaspinas & Y. Malevergne & D. Sornette, 2001. "Imitation and contrarian behavior: hyperbolic bubbles, crashes and chaos," Papers cond-mat/0109410, arXiv.org.
- Anne Corcos & Jean-Pierre Eckmann & A. Malaspinas & Yannick Malevergne & Didier Sornette, 2002. "Imitation and contrarian behavior: hyperbolic bubbles, crashes and chaos," Post-Print hal-03833822, HAL.
- Anne Corcos & J.P. Eckmann & A. Malaspinas & Yannick Malevergne & Didier Sornette, 2002. "Imitation and contrarian behavior : hyperbolic bubbles, crashes and chaos," Post-Print hal-02312891, HAL.
- Lyócsa, Štefan & Molnár, Peter & Todorova, Neda, 2017. "Volatility forecasting of non-ferrous metal futures: Covariances, covariates or combinations?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 51(C), pages 228-247.
- Hwang, Eunju & Shin, Dong Wan, 2014. "Infinite-order, long-memory heterogeneous autoregressive models," Computational Statistics & Data Analysis, Elsevier, vol. 76(C), pages 339-358.
- Harvey, Andrew & Palumbo, Dario, 2023.
"Score-driven models for realized volatility,"
Journal of Econometrics, Elsevier, vol. 237(2).
- Harvey, A. & Palumbo, D., 2019. "Score-Driven Models for Realized Volatility," Cambridge Working Papers in Economics 1950, Faculty of Economics, University of Cambridge.
- Woode, John Kingsley & Owusu Junior, Peterson & Adam, Anokye M., 2024. "Dynamic interdependence structure of industrial metals and the African stock market," Resources Policy, Elsevier, vol. 88(C).
- Audrino, Francesco & Corsi, Fulvio, 2010.
"Modeling tick-by-tick realized correlations,"
Computational Statistics & Data Analysis, Elsevier, vol. 54(11), pages 2372-2382, November.
- Fulvio Corsi & Francesco Audrino, 2008. "Modeling Tick-by-Tick Realized Correlations," University of St. Gallen Department of Economics working paper series 2008 2008-05, Department of Economics, University of St. Gallen.
- Prat, Georges, 2013.
"Equity risk premium and time horizon: What do the U.S. secular data say?,"
Economic Modelling, Elsevier, vol. 34(C), pages 76-88.
- Georges Prat, 2010. "Equity Risk Premium and Time Horizon : What do the U.S. Secular Data Say ?," EconomiX Working Papers 2010-22, University of Paris Nanterre, EconomiX.
- Georges Prat, 2012. "Equity risk premium and time horizon: what do the U.S. secular data say?," Working Papers 12-06, Association Française de Cliométrie (AFC).
- Ballocchi, Giuseppe & Dacorogna, Michel M. & Hopman, Carl M. & Muller, Ulrich A. & Olsen, Richard B., 1999. "The intraday multivariate structure of the Eurofutures markets," Journal of Empirical Finance, Elsevier, vol. 6(5), pages 479-513, December.
- Chuong Luong & Nikolai Dokuchaev, 2018. "Forecasting of Realised Volatility with the Random Forests Algorithm," JRFM, MDPI, vol. 11(4), pages 1-15, October.
- Nikitopoulos, Christina Sklibosios & Thomas, Alice Carole & Wang, Jianxin, 2023. "The economic impact of daily volatility persistence on energy markets," Journal of Commodity Markets, Elsevier, vol. 30(C).
- He, Xue-Zhong & Li, Kai & Santi, Caterina & Shi, Lei, 2022. "Social interaction, volatility clustering, and momentum," Journal of Economic Behavior & Organization, Elsevier, vol. 203(C), pages 125-149.
More about this item
Keywords
Wavelet Value at Risk; Heterogeneity; Noise traders; Fundamentalists;All these keywords.
JEL classification:
- C5 - Mathematical and Quantitative Methods - - Econometric Modeling
- C4 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics
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:ebl:ecbull:eb-10-00362. 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: John P. Conley (email available below). General contact details of provider: .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.