Results 11 to 20 of about 44,115,319 (295)
Optimization with Multivariate Conditional Value-at-Risk Constraints [PDF]
Operations Research, 2013 For many decision-making problems under uncertainty, it is crucial to develop risk-averse models and specify the decision makers' risk preferences based on multiple stochastic performance measures (or criteria). Incorporating such multivariate preference rules into optimization models is a fairly recent research area.
Nilay Noyan, Gábor Rudolf
openaire +5 more sources
Crisis, Value at Risk, and Conditional Extreme Value Theory via Garch-Jump Model
, 2010 This study develops a new conditional extreme value theory-based model (EVT) combined with the GARCH-Jump model to forecast extreme risks. This paper utilizes the GARCH-Jump model to asymmetrically feed back the past realization of jump innovation to the
Ze-To, S.
core +4 more sources
Determining Systemic Risk of Banks, Financial Services, and Insurance Firms of Pakistan
JISR Management and Social Sciences & Economics, 2018 This paper contributes on the literature of systemic risk by investigating the extent of financial distress injected by banks, financial services, and insurance firms in the financial system of Pakistan.
Shumaila Zeb, Abdul Rashid
doaj +1 more source
Risk-Sensitive Safety Analysis Using Conditional Value-at-Risk [PDF]
IEEE Transactions on Automatic Control, 2022 This paper develops a safety analysis method for stochastic systems that is sensitive to the possibility and severity of rare harmful outcomes. We define risk-sensitive safe sets as sub-level sets of the solution to a non-standard optimal control problem, where a random maximum cost is assessed via Conditional Value-at-Risk (CVaR).
Margaret P. Chapman +5 more
openaire +3 more sources
Mathematics, 2022 This paper extends the conditional autoregressive range (CARR) model to the multivariate CARR (MCARR) model and further to the two-stage MCARR-return model to model and forecast volatilities, correlations and returns of multiple financial assets.
Shay Kee Tan +2 more
doaj +1 more source
Using Entropy to Forecast Bitcoin’s Daily Conditional Value at Risk
Proceedings, 2019 Conditional value at risk (CVaR), or expected shortfall, is a risk measure for investments according to Rockafellar and Uryasev. Yamai and Yoshiba define CVaR as the conditional expectation of loss given that the loss is beyond the value at risk (VaR ...
Hellinton H. Takada +3 more
doaj +1 more source
Presenting a Model for Multiple-Step-Ahead-Forecasting of Volatility and Conditional Value at Risk in Fossil Energy Markets [PDF]
AUT Journal of Modeling and Simulation, 2018 Fossil energy markets have always been known as strategic and important markets. They have a significant impact on the macro economy and financial markets of the world.
E. Mohammadian Amiri, S. B. Ebrahimi
doaj +1 more source
Fractal and Fractional, 2022 Risk management is very important for individual investors or companies. There are several ways to measure the risk of investment. Prices of risky assets vary rapidly and randomly due to the complexity of finance market. Random interval is a good tool to
Jinping Zhang, Keming Zhang
doaj +1 more source
Statistical Learning with Conditional Value at Risk
CoRR, 2020 We propose a risk-averse statistical learning framework wherein the performance of a learning algorithm is evaluated by the conditional value-at-risk (CVaR) of losses rather than the expected loss. We devise algorithms based on stochastic gradient descent for this framework.
Tasuku Soma, Yuichi Yoshida
openaire +2 more sources
The effect of macroeconomic and specific banking variables on systemic risk Cupola Covar approach [PDF]
مدلسازی اقتصادسنجی, 2020 This study estimates systemic risk of banks using the Copula function and Conditional Value at Risk and examine the extend to which macroeconomic and bank-specific variables contribute to systemic risrk.
Kimia Etemadi +2 more
doaj +1 more source