Results 91 to 100 of about 3,321,400 (310)
Forecasting Value-at-Risk Using the Markov-Switching ARCH Model [PDF]
This paper analyzes the application of the Markov-switching ARCH model (Hamilton and Susmel, 1994) in improving value-at-risk (VaR) forecast. By considering a mixture of normal distributions with varying variances over different time and regimes, we find
Wei-Ting Tang, Yin-Feng Gau
core
FEBS Letters, EarlyView.Embryo‐like structures (stembryos) are an innovative tool, but they are hindered by experimental variability and limited developmental potential. DNA methylation is crucial for mammalian development, but its status in stembryo models is poorly characterized.
Sara Canil +4 more
wiley +1 more source
THE CORRELATION BETWEEN THE MARKET RISK AND THE LIQUIDITY RISK IN THE ROMANIAN BANKING SECTOR [PDF]
Annals of the University of Oradea: Economic Science, 2010 A series of studies on liquidity management have appeared during the financial crisis, many of them comparing the funding liquidity with the market liquidity.
Zoicas-Ienciu Adrian, Trenca Ioan
doaj
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
Extreme Value Theory and Value at Risk : Application to Oil Market [PDF]
Recent increases in energy prices, especially oil prices, have become a principal concern for consumers, corporations, and governments. Most analysts believe that oil price fluctuations have considerable consequences on economic activity.
Abdelwahed Trabelsi +2 more
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Degradation mechanism of the von Willebrand factor A2 domain by nattokinase
FEBS Letters, EarlyView.Nattokinase, a natto‐derived protease, exhibits potent antithrombotic effects. This study demonstrates that nattokinase directly cleaves the von Willebrand factor (vWF) A2 domain in vitro. Unlike the native regulator ADAMTS13, nattokinase degrades folded vWF independently of shear stress.
Ryuichi Hyakumoto +3 more
wiley +1 more source
Tail risk modelling of cryptocurrencies, gold, non-fungible token, and stocks
Research in GlobalizationWe present tail risk analysis of cryptocurrencies (Bitcoin, Ethereum and Litecoin), non-fungible tokens, stocks (FTSE 100 and S&P 500) and Gold from November 12, 2017 to March 31, 2022 using conditional model-based Value-at-Risk (VaR).
Zynobia Barson, Peterson Owusu Junior
doaj +1 more source
THE EVALUATION OF RISK REGARDING INSURANCE. STATISTICAL METHODS OF RISK DISSIPATION [PDF]
Annals of the University of Petrosani: Economics, 2010 Value at risk (VaR) is a summary statistic that quantifies the exposureof an asset or portfolio to market risk. Value at risk is now viewed by many as indispensableammunition in any serious corporate risk manager’s arsenal.
MIHAI ARISTOTEL UNGUREANU +3 more
doaj
Extreme Value at Risk and Expected Shortfall during Financial Crisis [PDF]
This paper investigates Value at Risk and Expected Shortfall for CAC 40, S&P 500, Wheat and Crude Oil indexes during the 2008 financial crisis. We show an underestimation of the risk of loss for the unconditional VaR models as compared with the ...
D. Dupre +3 more
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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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