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Conditional Expectile: An Alternative to Value at Risk (VaR)
SSRN Electronic Journal, 2021Various risk measures have been reviewed against the criteria commonly accepted by financial researchers and practitioners: coherence, elicitability, comonotonic additivity, and intuitiveness. It follows that the only risk measure that is both coherent and elicitable is an Expectile based risk measure. But unlike the VaR measure, the Expectile does not
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Review on Three New Value at Risk (VaR) Models
Advances in Economics, Management and Political Sciences, 2023The emergence of financial derivatives complicates traditional financial products and increases financial market volatility. Individuals and financial institutions are both exposed to more complex and uncontrollable risks in this environment. Because of the risk's uncertainty, we must use reasonable methods to predict and estimate it in order to ...
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Value at Risk (VaR) in Real Options Analysis
SSRN Electronic Journal, 2003Cash flow from operations can be controlled using real options. In this normative paper, we derive numerically in a univariate discrete time model, extension of (Kulatilaka, 1988), the expanded NPV of an industrial investment and, simultaneously, state variable thresholds for the whole life of the project to optimally exercise real options.
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Var planning problem considering conditional value-at-risk assessment
2014 IEEE PES T&D Conference and Exposition, 2014This paper presents the reactive power planning solution under risk assessment through the CVaR (Conditional-Value-at-Risk) using stochastic programming. Load uncertainty is modeled by distribution function. Uncertainty in the reactive power availability of existing and new reactive power sources is modeled through probabilistic constraints with a ρ ...
Julio César López +2 more
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CreditMetrics Methodology and Credit Value at Risk (Credit VaR)
SSRN Electronic Journal, 2021Described by Hull (2011, 2012) as ‘a procedure for calculating credit value at risk’, CreditMetrics methodology (RiskMetrics Group 2007) is used for assessing portfolio risk due to changes in bond or debt value caused by credit quality changes including credit migration (upgrades and downgrades), as well as, default.
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2010
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Estimating Value-at-Risk (VaR) using TiVEx-POT Models [PDF]
Financial institutions hold risks in their investments that can potentially affect their ability to serve their clients. For banks to weigh their risks, Value-at-Risk (VaR) methodology is used, which involves studying the distribution of losses and formulating a statistic from this distribution.
Mapa, Dennis S. +2 more
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CURRENCY RISK ASSESSMENT USING VALUE-AT-RISK (VAR) METHODOLOGY [PDF]
The measurement of currency risk through the VaR metrics is highlighted in this research work. The main VaR methods – relative, Historical Stimulation and Monte Karlo Stimulation are briefly presented. A study is conducted with real data on a specific currency pair – GBP/USD.
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Risk Forecasting Using Value at Risk (VaR)
This research analyses weekly stock data gathered from Google Finance over the previous five years to use the Value at Risk (VaR) approach to evaluate the risk exposure of four companies: Apple, Coca-Cola, Amazon, and McDonald's. To visualize the behavior and patterns of these companies' stocks, two crucial graphs were first created: stock price vs ...openaire +1 more source

