Results 11 to 20 of about 3,030,006 (223)
The Truncated Lomax-exponential distribution and its fitting to financial data [PDF]
Journal of Mahani Mathematical Research, 2023 Nowadays, analyzing the losses data of the insurance and asset portfolios has special importance in risk analysis and economic problems. Therefore, having suitable distributions that are able to fit such data, is important.
Shohreh Enamiaraghi
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Risks, 2023 Optimal reinsurance problems under the risk measures, such as Value-at-Risk (VaR) and Tail-Value-at-Risk (TVaR), have been studied in recent literature.
Qian Xiong +2 more
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Value-at-Risk Versus Non Value-at-Risk Traders [PDF]
SSRN Electronic Journal, 2009 In the paper, I simulate the games with a joint presence of 95% VaR-rule and return-rule groups of agents in the game. Simulations highlighted the level of omniscience, next being the rule, which agents follow at the decision-making, and the third the presence of liquidity agents in the game.
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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
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Optimization with multivariate conditional value-at-risk constraints [PDF]
, 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
Noyan, Nilay, Rudolf, Gabor
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Procyclicality in tradeable credit risk: Consequences for South Africa
South African Journal of Economic and Management Sciences, 2018 Background: Tradeable credit assets are vulnerable to two varieties of credit risk: default risk (which manifests itself as a binary outcome) and spread risk (which arises as spreads change continuously).
Dirk Visser, Gary W. van Vuuren
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Value at risk and self-similarity [PDF]
, 2007 The concept of Value at Risk measures the "risk" of a portfolio and is a statement of the following form: With probability q the potential loss will not exceed the Value at Risk figure. It is in widespread use within the banking industry.
Menkens, Olaf
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On the factors of Bitcoin’s value at risk
Financial Innovation, 2021 This study investigates the factors of Bitcoin’s tail risk, quantified by Value at Risk (VaR). Extending the conditional autoregressive VaR model proposed by Engle and Manganelli (2004), I examine 30 potential drivers of Bitcoin’s 5% and 1% VaR.
Ji Ho Kwon
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Incorporating stand level risk management options into forest decision support systems
Forest Systems, 2018 Aim of study: To examine methods of incorporating risk and uncertainty to stand level forest decisions. Area of study: A case study examines a small forest holding from Jönköping, Sweden.
Kyle Eyvindson +2 more
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Jambura Journal of Mathematics, 2023 Value at Risk (VaR) and Tail Value at Risk (TVaR) are two measures that are commonly used to quantify the risk associated with a loss severity distribution.
Ruhiyat Ruhiyat +2 more
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