Results 21 to 30 of about 141,342 (308)
Aggregate Risk Model and Risk Measure-Based Risk Allocation
InPrime, 2020 In actuarial modeling, aggregate risk is known as more attractive rather than individual risk. It has, however, usual difficulty in finding (the exact form of) joint probability distribution.
Khreshna Syuhada
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Modeling Contagion of Financial Markets: A GARCH-EVT Copula Approach
Engineering Proceedings, 2023 To better assess the financial contagion through the VaR, several recent studies used copula models. In the same context, this paper addresses the inefficiency of the classical approach such as a normal distribution in modeling the tail risk, by using ...
Gueï Cyrille Okou, Amine Amar
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Value at Risk Estimation Using the GARCH-EVT Approach with Optimal Tail Selection
Mathematics, 2020 A conditional Extreme Value Theory (GARCH-EVT) approach is a two-stage hybrid method that combines a Generalized Autoregressive Conditional Heteroskedasticity (GARCH) filter with the Extreme Value Theory (EVT).
Krzysztof Echaust, Małgorzata Just
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Tail Conditional Expectations Based on Kumaraswamy Dispersion Models
Mathematics, 2021 Recently, there seems to be an increasing amount of interest in the use of the tail conditional expectation (TCE) as a useful measure of risk associated with a production process, for example, in the measurement of risk associated with stock returns ...
Indranil Ghosh, Filipe J. Marques
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Modeling for wind-thermal combined bidding considering bilateral tail information
Energy Reports, 2023 The stochastic output of wind power will lead to the penalty of bidding deviation in the spot market and bring bidding risk, restricting the participation of wind power in market competition.
Feixiang Peng, Jun Tao, Huaying Zhang
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Daya Matematis: Jurnal Inovasi Pendidikan Matematika, 2022 Risk management helps the financial industry to manage and estimate the risks that may occur by using risk measures. Financial series data mostly have a heavy tail distribution which causes the probability of extreme values to occur. To overcome these extreme values, it is necessary to apply a mathematical model in calculating risk estimates in ...
Sri Muslihah Bakhtiar +2 more
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Energies, 2021 This study investigates the dependence between extreme returns of West Texas Intermediate (WTI) crude oil prices and the Crude Oil Volatility Index (OVX) changes as well as the predictive power of OVX to generate accurate Value at Risk (VaR) forecasts ...
Krzysztof Echaust, Małgorzata Just
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Multivariate TVaR-Based Risk Decomposition for Vector-Valued Portfolios
Risks, 2016 In order to protect stakeholders of insurance companies and financial institutions against adverse outcomes of risky businesses, regulators and senior management use capital allocation techniques.
Mélina Mailhot, Mhamed Mesfioui
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High volatility, thick tails and extreme value theory in value-at-risk estimation [PDF]
Insurance: Mathematics and Economics, 2003 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Gencay, R., Selcuk, F., Ulugulyagci, A.
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نموذج مقترح لقياس أخطارالأمن السيبرانى [PDF]
المجلة العلمية للدراسات والبحوث المالية والتجاريةيهدف هذا البحث إلى قياس الأخطار السيبرانية (أخطار الهجمات الإلكترونية)، وذلك من خلال نمذجة عدد الأخطار السيبرانية في الأخطار المختلفة عبر مؤسسات مختلفة من خلال استخدام توزيع بواسون وتوزيع ذي الحدين السالب حتى يمكننا التوصل إلى تحديد التوزيع الذى يصف ...
جيهان مسعد المعداوى +2 more
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