Value at Risk Computation in a Non-Stationary Setting [PDF]
This chapter recalls the main tools useful to compute Value at Risk associated with a m-dimensional portfolio. Then, the limitations of the use of these tools is explained, as soon as non-stationarities are observed in time series.
Dominique Guegan
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Value at Risk: Implementing a Risk Measurement Standard [PDF]
In the wake of recent failures of risk management, there has been a widespread call for improved quantification of the financial risks facing firms. At the forefront of this clamor has been Value at Risk.
Christopher Marshall, Michael Siegel
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Value at Risk (VaR) and the alpha-stable distribution [PDF]
Volatility in financial markets is a matter of considerable concern to financial institutions and their supervisors. Already it is clear that this volatility has had an adverse effect on the real economy.
John C. Frain
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Estimating Value-at-Risk for the Turkish Stock Index Futures in the Presence of Long Memory Volatility [PDF]
This paper examines the long memory properties for closing prices of the Turkish stock index futures market using the FIGARCH(1,d,1) model with three different distributions : Normal, Student-t, and skewed Student-t.
Adnan Kasman
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Comparisons of cashflow maps for value-at-risk [PDF]
This article is devoted to the study cashflow maps used in the computation of value-at-risk (VaR). Properties and characteristics of the approaches found in the literature are presented and two new approaches are introduced.
Henrard Marc
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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
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How climate change shapes global systemic risk transmission: A complex network approach. [PDF]
Zeng L, Lau WY.
europepmc +1 more source
Ordinary Differential Equation Modeling and a Novel Zubair-Fréchet Distribution for Cholera in Ghana With Control Strategies. [PDF]
Nyamekye KA +5 more
europepmc +1 more source
Benchmark Response Values for Error-Corrected Sequencing Mutagenicity Assessment Technologies. [PDF]
Mulugeta S +5 more
europepmc +1 more source
Value at risk for a mixture of normal distributions: the use of quasi- Bayesian estimation techniques [PDF]
This article proposes a methodology for measuring value at risk for fat-tailed asset return distributions. Simulation-based results indicate that this approach provides better estimates of risk than one based on the assumption that asset returns are ...
Subu Venkataraman
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