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Calculate tail quantiles of compound distributions

Abdymomunov, Azamat; Curti, Filippo; Kane, Hayden - In: The journal of computational finance 22 (2018/2019) 5, pp. 41-70

Persistent link: https://www.econbiz.de/10012042235

Superquantile regression with applications to buffered reliability, uncertainty quantification, and conditional value-at-risk

Rockafellar, Ralph Tyrrell; Royst, Johannes O.; … - In: European journal of operational research : EJOR 234 (2014) 1, pp. 140-154

Persistent link: https://www.econbiz.de/10010247347

Value-at-risk estimation with stochastic interest rate models for option-bond portfolios

Wang, Xiaoyu; Xie, Dejun; Jiang, Jingjing; Wu, Xiaoxia; … - In: Finance research letters 21 (2017), pp. 10-20

Persistent link: https://www.econbiz.de/10011807256

A note on stochastic volatility model estimation

Abbara, Omar; Zevallos, Mauricio - In: Revista Brasileira de Finanças : RBFin 17 (2019) 4, pp. 22-32

Persistent link: https://www.econbiz.de/10012221531

Leverage effects and stochastic volatility in spot oil returns : a Bayesian approach with VaR and CVaR applications

Chen, Liyuan; Zerilli, Paola; Baum, Christopher F. - 2018

Persistent link: https://www.econbiz.de/10011891048

VaR/CVaR estimation under stochastic volatility models

Han, Chuan-Hsiang; Liu, Wei-han; Chen, Tzu-ying - In: International journal of theoretical and applied finance 17 (2014) 2, pp. 1-35

Persistent link: https://www.econbiz.de/10010363922

Bayesian estimation of stochastic tail index from high-frequency financial data

Doğan, Osman; Taṣpınar, Süleyman; Bera, Anil K. - In: Empirical economics : a quarterly journal of the … 61 (2021) 5, pp. 2685-2711

Persistent link: https://www.econbiz.de/10012664628

Bank stress testing : a stochastic simulation framework to assess banks' financial fragility

Montesi, Giuseppe; Papiro, Giovanni - In: Risks : open access journal 6 (2018) 3, pp. 1-54

We present a stochastic simulation forecasting model for stress testing that is aimed at assessing banks’ capital adequacy, financial fragility, and probability of default. The paper provides a theoretical presentation of the methodology and the essential features of the forecasting model on...

Persistent link: https://www.econbiz.de/10011890804

Portfolio credit risk model with extremal dependence of defaults and random recovery

Jeon, Jong-June; Kim, Sunggon; Lee, Yonghee - In: The journal of credit risk : published quarterly by … 13 (2017) 2, pp. 1-31

Persistent link: https://www.econbiz.de/10011777675

Forecasting value-at-risk with time-varying variance, skewness and kurtosis in an exponential weighted moving average framework

Gabrielsen, Alexandros; Kirchner, Axel; Liu, Zhuoshi; … - In: Annals of financial economics 10 (2015) 1, pp. 1-29

Persistent link: https://www.econbiz.de/10011382540