Results 11 to 20 of about 237,695 (301)
Multi-Variate Risk Measures under Wasserstein Barycenter
When the uni-variate risk measure analysis is generalized into the multi-variate setting, many complex theoretical and applied problems arise, and therefore the mathematical models used for risk quantification usually present model risk.
M. Andrea Arias-Serna +2 more
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Determining Systemic Risk of Banks, Financial Services, and Insurance Firms of Pakistan
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
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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
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Hedging Conditional Value at Risk with options [PDF]
We present a method of hedging Conditional Value at Risk of a position in stock using put options. The result leads to a linear programming problem that can be solved to optimise risk hedging.
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Using Entropy to Forecast Bitcoin’s Daily Conditional Value at Risk
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
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Presenting a Model for Multiple-Step-Ahead-Forecasting of Volatility and Conditional Value at Risk in Fossil Energy Markets [PDF]
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
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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
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The effect of macroeconomic and specific banking variables on systemic risk Cupola Covar approach [PDF]
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
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Statistical Learning with Conditional Value at Risk
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
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Optimizing conditional value-at-risk in dynamic pricing [PDF]
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Jochen Gönsch +2 more
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