Are Critical Slowing Down Indicators Useful to Detect Financial Crises?
Author
Abstract
Suggested Citation
DOI: 10.2139/ssrn.2861258
Download full text from publisher
To our knowledge, this item is not available for download. To find whether it is available, there are three options:1. Check below whether another version of this item is available online.
2. Check on the provider's web page whether it is in fact available.
3. Perform a search for a similarly titled item that would be available.
Other versions of this item:
- Hayette Gatfaoui & Isabelle Nagot & Philippe de Peretti, 2016. "Are Critical Slowing Down Indicators Useful to Detect Financial Crises?," Post-Print halshs-01505202, HAL.
- Hayette Gatfaoui & Isabelle Nagot & Philippe de Peretti, 2016. "Are critical slowing down indicators useful to detect financial crises?," Documents de travail du Centre d'Economie de la Sorbonne 16045, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne.
- Hayette Gatfaoui & Isabelle Nagot & Philippe de Peretti, 2016. "Are critical slowing down indicators useful to detect financial crises?," Documents de travail du Centre d'Economie de la Sorbonne 16045r, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne, revised Nov 2016.
- Hayette Gatfaoui & Isabelle Nagot & Philippe de Peretti, 2016. "Are critical slowing down indicators useful to detect financial crises?," Post-Print halshs-01339815, HAL.
- Hayette Gatfaoui & Isabelle Nagot & Philippe de Peretti, 2016. "Are critical slowing down indicators useful to detect financial crises?," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-01339815, HAL.
References listed on IDEAS
- John Y. Campbell & Sanford J. Grossman & Jiang Wang, 1993.
"Trading Volume and Serial Correlation in Stock Returns,"
The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 108(4), pages 905-939.
- John Y. Campbell & Sanford J. Grossman & Jiang Wang, 1992. "Trading Volume and Serial Correlation in Stock Returns," NBER Working Papers 4193, National Bureau of Economic Research, Inc.
- Wang, Jiang & Grossman, Sanford & Campbell, John, 1993. "Trading Volume and Serial Correlation in Stock Returns," Scholarly Articles 3128710, Harvard University Department of Economics.
- Cees Diks & Cars Hommes & Juanxi Wang, 2019.
"Critical slowing down as an early warning signal for financial crises?,"
Empirical Economics, Springer, vol. 57(4), pages 1201-1228, October.
- Diks, C.G.H. & Hommes, C.H. & Wang, J., 2015. "Critical Slowing Down as Early Warning Signals for Financial Crises?," CeNDEF Working Papers 15-04, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.
- Marten Scheffer & Jordi Bascompte & William A. Brock & Victor Brovkin & Stephen R. Carpenter & Vasilis Dakos & Hermann Held & Egbert H. van Nes & Max Rietkerk & George Sugihara, 2009. "Early-warning signals for critical transitions," Nature, Nature, vol. 461(7260), pages 53-59, September.
Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
Cited by:
- Haoyu Wen & Massimo Pica Ciamarra & Siew Ann Cheong, 2018. "How one might miss early warning signals of critical transitions in time series data: A systematic study of two major currency pairs," PLOS ONE, Public Library of Science, vol. 13(3), pages 1-22, March.
- Chengyi Tu & Paolo DOdorico & Samir Suweis, 2018. "Critical slowing down associated with critical transition and risk of collapse in cryptocurrency," Papers 1806.08386, arXiv.org, revised Nov 2019.
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.- Jan Willem van den End, 2019.
"Applying Complexity Theory to Interest Rates: Evidence of Critical Transitions in the Euro Area,"
Credit and Capital Markets, Credit and Capital Markets, vol. 52(1), pages 1-33.
- Jan Willem van den End, 2017. "Applying complexity theory to interest rates: Evidence of critical transitions in the euro area," DNB Working Papers 567, Netherlands Central Bank, Research Department.
- Haoyu Wen & Massimo Pica Ciamarra & Siew Ann Cheong, 2018. "How one might miss early warning signals of critical transitions in time series data: A systematic study of two major currency pairs," PLOS ONE, Public Library of Science, vol. 13(3), pages 1-22, March.
- Zejie Zhou & Boleslaw K Szymanski & Jianxi Gao, 2020. "Modeling competitive evolution of multiple languages," PLOS ONE, Public Library of Science, vol. 15(5), pages 1-16, May.
- Safarzyńska, Karolina & van den Bergh, Jeroen C.J.M., 2017. "Integrated crisis-energy policy: Macro-evolutionary modelling of technology, finance and energy interactions," Technological Forecasting and Social Change, Elsevier, vol. 114(C), pages 119-137.
- Ismail, Mohd Sabri & Noorani, Mohd Salmi Md & Ismail, Munira & Razak, Fatimah Abdul & Alias, Mohd Almie, 2022. "Early warning signals of financial crises using persistent homology," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 586(C).
- Pastor, Lubos & Stambaugh, Robert F., 2003.
"Liquidity Risk and Expected Stock Returns,"
Journal of Political Economy, University of Chicago Press, vol. 111(3), pages 642-685, June.
- Luboš Pástor & Robert F. Stambaugh, "undated". "Liquidity Risk and Expected Stock Returns," CRSP working papers 531, Center for Research in Security Prices, Graduate School of Business, University of Chicago.
- Stambaugh, Robert F. & Pástor, Luboš, 2002. "Liquidity Risk and Expected Stock Returns," CEPR Discussion Papers 3494, C.E.P.R. Discussion Papers.
- Lubos Pastor & Robert F. Stambaugh, 2001. "Liquidity Risk and Expected Stock Returns," NBER Working Papers 8462, National Bureau of Economic Research, Inc.
- Chang, Sanders S. & Wang, F. Albert, 2015. "Adverse selection and the presence of informed trading," Journal of Empirical Finance, Elsevier, vol. 33(C), pages 19-33.
- Ellul, Andrew & Holden, Craig W. & Jain, Pankaj & Jennings, Robert, 2007. "Order dynamics: Recent evidence from the NYSE," Journal of Empirical Finance, Elsevier, vol. 14(5), pages 636-661, December.
- Victor Olkhov, 2023.
"Market-Based Probability of Stock Returns,"
Papers
2302.07935, arXiv.org, revised Feb 2024.
- Olkhov, Victor, 2023. "The Market-Based Probability of Stock Returns," MPRA Paper 116234, University Library of Munich, Germany.
- Stephen Morris & Hyun Song Shin, 2004.
"Liquidity Black Holes,"
Review of Finance, Springer, vol. 8(1), pages 1-18.
- Stephen Morris & Hyun Song Shin, 2004. "Liquidity Black Holes," Review of Finance, European Finance Association, vol. 8(1), pages 1-18.
- Stephen Morris & Hyun Song Shin, 2003. "Liquidity Black Holes," Cowles Foundation Discussion Papers 1434, Cowles Foundation for Research in Economics, Yale University.
- Stephen Morris & Hyun Song Shin, 2004. "Liquidity Black Holes," Yale School of Management Working Papers ysm425, Yale School of Management.
- Hyun Song Shin & Stephen Morris, 2004. "Liquidity Black Holes," Econometric Society 2004 North American Winter Meetings 620, Econometric Society.
- Hyun Song Shin & Stephen Morris, 2004. "Liquidity Black Holes," Econometric Society 2004 North American Winter Meetings 644, Econometric Society.
- Rodrigo Aranda & Patricio Jaramillo, 2008. "Nonlinear Dynamic in the Chilean Stock Market: Evidence from Returns and Trading Volume," Working Papers Central Bank of Chile 463, Central Bank of Chile.
- Elaut, Gert & Frömmel, Michael & Lampaert, Kevin, 2018. "Intraday momentum in FX markets: Disentangling informed trading from liquidity provision," Journal of Financial Markets, Elsevier, vol. 37(C), pages 35-51.
- Dutta, Shantanu & Essaddam, Naceur & Kumar, Vinod & Saadi, Samir, 2017. "How does electronic trading affect efficiency of stock market and conditional volatility? Evidence from Toronto Stock Exchange," Research in International Business and Finance, Elsevier, vol. 39(PB), pages 867-877.
- Menkhoff, Lukas & Schmeling, Maik, 2010.
"Trader see, trader do: How do (small) FX traders react to large counterparties' trades?,"
Journal of International Money and Finance, Elsevier, vol. 29(7), pages 1283-1302, November.
- Menkhoff, Lukas & Schmeling, Maik, 2009. "Trader see, trader do: How do (small) FX traders react to large counterparties' trades?," Hannover Economic Papers (HEP) dp-415, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.
- Nicholas Apergis & Vasilios Plakandaras & Ioannis Pragidis, 2022. "Industry momentum and reversals in stock markets," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(3), pages 3093-3138, July.
- Caporale, Guglielmo Maria & Spagnolo, Fabio & Spagnolo, Nicola, 2016.
"Macro news and stock returns in the Euro area: A VAR-GARCH-in-mean analysis,"
International Review of Financial Analysis, Elsevier, vol. 45(C), pages 180-188.
- Guglielmo Maria Caporale & Fabio Spagnolo & Nicola Spagnolo, 2014. "Macro News and Stock Returns in the Euro Area: A VAR-GARCH-in-Mean Analysis," Discussion Papers of DIW Berlin 1399, DIW Berlin, German Institute for Economic Research.
- Guglielmo Maria Caporale & Fabio Spagnolo & Nicola Spagnolo, 2014. "Macro News and Stock Returns in the Euro Area: A VAR-GARCH-in-Means Analysis," CESifo Working Paper Series 4912, CESifo.
- Nicholas Taylor, 2011. "Time-varying price discovery in fragmented markets," Applied Financial Economics, Taylor & Francis Journals, vol. 21(10), pages 717-734.
- Polanski, Arnold & Stoja, Evarist, 2017. "Forecasting multidimensional tail risk at short and long horizons," International Journal of Forecasting, Elsevier, vol. 33(4), pages 958-969.
- James J Elser & Timothy J Elser & Stephen R Carpenter & William A Brock, 2014. "Regime Shift in Fertilizer Commodities Indicates More Turbulence Ahead for Food Security," PLOS ONE, Public Library of Science, vol. 9(5), pages 1-7, May.
- Guo, Li & Sang, Bo & Tu, Jun & Wang, Yu, 2024. "Cross-cryptocurrency return predictability," Journal of Economic Dynamics and Control, Elsevier, vol. 163(C).
More about this item
Keywords
Skewness; Variance; Phase transition; Critical slowing down; Autocorrelation; Crisis;All these keywords.
JEL classification:
- C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General
- 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:hal:cesptp:halshs-01505202. 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: CCSD (email available below). General contact details of provider: https://hal.archives-ouvertes.fr/ .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.