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Time series analysis for financial market meltdowns
Kim, Young Shin; Račev, Svetlozar T.; Bianchi, Michele … - 2010
There appears to be a consensus that the recent instability in global financial markets may be attributable in part to the failure of financial modeling. More specifically, current risk models have failed to properly assess the risks associated with large adverse stock price behavior. In this...
Persistent link: https://www.econbiz.de/10008653556
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Higher moments, extreme returns, and cross-section of cryptocurrency returns
Jia, Yuecheng; Liu, Yuzheng; Yan, Shu - In: Finance research letters 39 (2021), pp. 1-6
Persistent link: https://www.econbiz.de/10012804999
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The risks of cryptocurrencies with long memory in volatility, non-normality and behavioural insights
Siu, Tak Kuen - In: Applied economics 53 (2021) 17, pp. 1991-2014
Persistent link: https://www.econbiz.de/10012500918
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Nonlinear dependence in cryptocurrency markets
Chaim, Pedro; Laurini, Márcio Poletti - In: The North American journal of economics and finance : a … 48 (2019), pp. 32-47
Persistent link: https://www.econbiz.de/10012120206
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Three essays on dynamic economics
Hashimzade, Nigar - 2003
Persistent link: https://www.econbiz.de/10003385291
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Risk models based on uncertainty quantification for illicit traffic time series in customs context
Hammadi, Lamia; Cursi, Eduardo Souza de; Barbu, Vlad Stefan - In: International journal of shipping and transport … 14 (2022) 1/2, pp. 3-32
Persistent link: https://www.econbiz.de/10012990506
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Real-time macroeconomic forecasting with a heteroscedastic inversion copula
Loiza-Maya, Ruben; Smith, Michael S. - In: Journal of business & economic statistics : JBES ; a … 38 (2020) 2, pp. 470-486
Persistent link: https://www.econbiz.de/10012262488
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Forecasting Tail Risk Measures for Financial Time Series : An Extreme Value Approach With Covariates
James, Robert; Leung, Henry; Leung, Jessica Wai Yin; … - 2021
The paper develops a tail risk forecasting model that incorporates the wealth of economic and financial information available to risk managers. The approach can be viewed as a regularized extension of the two-stage GARCH-EVT model of McNeil and Frey (2000) where we permit a time-varying...
Persistent link: https://www.econbiz.de/10013214142
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Nowcasting bitcoin's crash risk with order imbalance
Koutmos, Dimitrios; Wang Chun Wei - In: Review of quantitative finance and accounting 61 (2023) 1, pp. 125-154
Persistent link: https://www.econbiz.de/10014341029
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Optimizing portfolio risk of cryptocurrencies using data-driven risk measures
Bowala, Sulalitha; Singh, Japjeet - In: Journal of risk and financial management : JRFM 15 (2022) 10, pp. 1-16
normality of the portfolio returns leads to the underestimation of portfolio risk. Cryptocurrencies are a decentralized digital … reveal a very high excess kurtosis and skewness for returns of cryptocurrencies. In order to incorporate larger skewness and … kurtosis of the cryptocurrencies, a data-driven portfolio risk measure is minimized to obtain the optimal portfolio weights. A …
Persistent link: https://www.econbiz.de/10013471488