SU-ΔCoVaR
Author
Abstract
Suggested Citation
DOI: 10.1016/j.econlet.2011.12.002
Download full text from publisher
As the access to this document is restricted, you may want to search for a different version of it.
References listed on IDEAS
- repec:bla:jfinan:v:58:y:2003:i:2:p:805-820 is not listed on IDEAS
- Choi, Pilsun & Nam, Kiseok, 2008. "Asymmetric and leptokurtic distribution for heteroscedastic asset returns: The SU-normal distribution," Journal of Empirical Finance, Elsevier, vol. 15(1), pages 41-63, 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.- 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.
- Jing-Yi Lai, 2012. "An empirical study of the impact of skewness and kurtosis on hedging decisions," Quantitative Finance, Taylor & Francis Journals, vol. 12(12), pages 1827-1837, December.
- Laura Garcia‐Jorcano & Alfonso Novales, 2021.
"Volatility specifications versus probability distributions in VaR forecasting,"
Journal of Forecasting, John Wiley & Sons, Ltd., vol. 40(2), pages 189-212, March.
- Laura Garcia-Jorcano & Alfonso Novales, 2019. "Volatility specifications versus probability distributions in VaR forecasting," Documentos de Trabajo del ICAE 2019-26, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
- Sung Ik Kim, 2022. "ARMA–GARCH model with fractional generalized hyperbolic innovations," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 8(1), pages 1-25, December.
- Paolella, Marc S., 2017. "Asymmetric stable Paretian distribution testing," Econometrics and Statistics, Elsevier, vol. 1(C), pages 19-39.
- Laura Garcia-Jorcano & Alfonso Novales, 2020.
"A dominance approach for comparing the performance of VaR forecasting models,"
Computational Statistics, Springer, vol. 35(3), pages 1411-1448, September.
- Laura Garcia-Jorcano & Alfonso Novales, 2019. "A dominance approach for comparing the performance of VaR forecasting models," Documentos de Trabajo del ICAE 2019-23, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
- Luiz Vitiello & Ser-Huang Poon, 2014. "Non-monotonic pricing kernel and an extended class of mixture of distributions for option pricing," Review of Derivatives Research, Springer, vol. 17(2), pages 241-259, July.
- Roman Horváth & Štefan Lyócsa & Eduard Baumöhl, 2018.
"Stock market contagion in Central and Eastern Europe: unexpected volatility and extreme co-exceedance,"
The European Journal of Finance, Taylor & Francis Journals, vol. 24(5), pages 391-412, March.
- Roman Horváth & Štefan Lyócsa & Eduard Baumöhl, 2016. "Stock Market Contagion in Central and Eastern Europe: Unexpected Volatility and Extreme Co-exceedance," Working Papers 357, Leibniz Institut für Ost- und Südosteuropaforschung (Institute for East and Southeast European Studies).
- Baumöhl, Eduard & Kočenda, Evžen & Lyócsa, Štefan & Výrost, Tomáš, 2018.
"Networks of volatility spillovers among stock markets,"
Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 490(C), pages 1555-1574.
- Eduard Baumohl & Evzen Kocenda & Stefan Lyocsa & Tomas Vyrost, 2016. "Networks of volatility spillovers among stock markets," KIER Working Papers 941, Kyoto University, Institute of Economic Research.
- Eduard Baumöhl & Evžen Kocenda & Stefan Lyócsa & Tomás Vyrost, 2017. "Networks of Volatility Spillovers among Stock Markets," CESifo Working Paper Series 6476, CESifo.
- Lyócsa, Štefan & Výrost, Tomáš & Baumöhl, Eduard, 2019.
"Return spillovers around the globe: A network approach,"
Economic Modelling, Elsevier, vol. 77(C), pages 133-146.
- Stefan Lyocsa & Tomas Vyrost & Eduard Baumohl, 2015. "Return spillovers around the globe: A network approach," Papers 1507.06242, arXiv.org, revised Nov 2015.
- Gürtler, Marc & Kreiss, Jens-Peter & Rauh, Ronald, 2009. "A non-stationary approach for financial returns with nonparametric heteroscedasticity," Working Papers IF31V2, Technische Universität Braunschweig, Institute of Finance.
- Štefan Lyócsa & Roman Horváth, 2018. "Stock Market Contagion: a New Approach," Open Economies Review, Springer, vol. 29(3), pages 547-577, July.
- Simonato, Jean-Guy, 2012. "GARCH processes with skewed and leptokurtic innovations: Revisiting the Johnson Su case," Finance Research Letters, Elsevier, vol. 9(4), pages 213-219.
- Jaehyuk Choi & Chenru Liu & Byoung Ki Seo, 2019.
"Hyperbolic normal stochastic volatility model,"
Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 39(2), pages 186-204, February.
- Jaehyuk Choi & Chenru Liu & Byoung Ki Seo, 2018. "Hyperbolic normal stochastic volatility model," Papers 1809.04035, arXiv.org.
- Chan, Raymond H. & Chow, Sheung-Chi & Guo, Xu & Wong, Wing-Keung, 2022. "Central moments, stochastic dominance, moment rule, and diversification with an application," Chaos, Solitons & Fractals, Elsevier, vol. 161(C).
- Syuhada, Khreshna & Hakim, Arief & Suprijanto, Djoko, 2024. "Assessing systemic risk and connectedness among dirty and clean energy markets from the quantile and expectile perspectives," Energy Economics, Elsevier, vol. 129(C).
- Chang, Chuang-Chang & Tsay, Min-Hung & Lin, Jun-Biao, 2018. "A generalized Brennan–Rubinstein approach for valuing options with stochastic interest rates," The Quarterly Review of Economics and Finance, Elsevier, vol. 67(C), pages 92-99.
- Lyócsa, Štefan & Molnár, Peter, 2020. "Stock market oscillations during the corona crash: The role of fear and uncertainty," Finance Research Letters, Elsevier, vol. 36(C).
- Patra, Saswat, 2024. "An empirical analysis of the volume-volatility nexus in crude oil markets under structural breaks: Implications for forecasting," International Review of Economics & Finance, Elsevier, vol. 94(C).
- Li, Haiqi & Kim, Hyung-Gun & Park, Sung Y., 2015. "The role of financial speculation in the energy future markets: A new time-varying coefficient approach," Economic Modelling, Elsevier, vol. 51(C), pages 112-122.
More about this item
Keywords
CoVaR; VaR; Systemic risk; SU-normal distribution;All these keywords.
JEL classification:
- G2 - Financial Economics - - Financial Institutions and Services
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:eee:ecolet:v:115:y:2012:i:2:p:218-220. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/ecolet .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.