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Fractional integration and fat tails for realized covariance kernels and returns
Lucas, André; Opschoor, Anne - 2016 - This version: September 1, 2016
We introduce a new fractionally integrated model for covariance matrix dynamics based on the long-memory behavior of daily realized covariance matrix kernels and daily return observations. We account for fat tails in both types of data by appropriate distributional assumptions. The covariance...
Persistent link: https://www.econbiz.de/10011531139
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Self-exciting extreme value models for stock market crashes
Herrera, Rodrigo; Schipp, Bernhard - In: Statistical inference, econometric analysis and matrix …, (pp. 209-231). 2009
Persistent link: https://www.econbiz.de/10003781013
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Modelling, estimation and visualization of multivariate dependence for high-frequency data
Brodin, Erik; Klüppelberg, Claudia - In: Statistical modelling and regression structures : …, (pp. 267-300). 2010
Persistent link: https://www.econbiz.de/10003964488
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Intangible capital and stock market
Li, Nan - 2005
Persistent link: https://www.econbiz.de/10003173555
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Systemic risk measures and distribution forecasting of macroeconomic shocks
Chen, Guojin; Liu, Yanzhen; Zhang, Yu - In: International review of economics & finance : IREF 75 (2021), pp. 178-196
Persistent link: https://www.econbiz.de/10012692464
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On exactitude in financial regulation : value-at-risk, expected shortfall, and expectiles
Chen, Jim - In: Risks : open access journal 6 (2018) 2, pp. 1-28
This article reviews two leading measures of financial risk and an emerging alternative. Embraced by the Basel accords …, value-at-risk and expected shortfall are the leading measures of financial risk. Expectiles offset the weaknesses of value-at-risk … (VaR) and expected shortfall. Indeed, expectiles are the only elicitable law-invariant coherent risk measures. After …
Persistent link: https://www.econbiz.de/10011867427
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Machine learning in risk measurement : Gaussian process regression for value-at-risk and expected shortfall
Wilkens, Sascha - In: Journal of risk management in financial institutions 12 (2019) 3, pp. 374-383
Persistent link: https://www.econbiz.de/10012131743
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A finite mixture modelling perspective for combining experts’ opinions with an application to quantile-based risk measures
Makariou, Desponia; Barrieu, Pauline; Tzougas, George - In: Risks : open access journal 9 (2021) 6, pp. 1-25
models are employed for numerically computing quantile-based risk measures in a collective decision-making context. …
Persistent link: https://www.econbiz.de/10012598418
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Forecasting VaR using realized EGARCH model with skewness and kurtosis
Wu, Xinyu; Xia, Michelle; Zhang, Huanming - In: Finance research letters 32 (2020), pp. 1-7
Persistent link: https://www.econbiz.de/10012430736