This paper characterizes the term structure of risk measures such as value at risk (VaR) and expected shortfall under different econometric approaches including multivariate regime switching, GARCH-in-mean models with Student-t errors, two-component GARCH models and a nonparametric bootstrap. We show how to derive the risk measures for each of these models and document large variations in term structures across econometric specifications. An out-of-sample forecasting experiment applied to stock, bond and cash portfolios suggests that the best model is asset- and horizon specific but that the bootstrap and regime switching model are best overall for VaR levels of 5% and 1%, respectivel
This thesis intends to examine a risk measure used for estimating a potential future loss. The risk ...
Value at Risk plays a crucial role in the risk management. However, this risk measure has some drawb...
Expected shortfall (ES) has been widely accepted as a risk measure that is conceptually superior to ...
This paper characterizes the term structure of risk measures such as value at risk (VaR) and expecte...
We have developed a regime switching framework to compute the Value at Risk and Expected Shortfall m...
This dissertation aims to examine the performance of different risk measures with three internationa...
Value at Risk plays a crucial role in the risk management. However, this risk measure has some drawb...
This paper studies seven GARCH models, including RiskMetrics and two long memory GARCH models, in Va...
It is well known that the use of Gaussian models to assess financial risk leads to an underestimatio...
Basel II requires Value at Risk (VaR) as a standardized risk measure for calculating market risk. Ho...
The financial crisis of 2007-2009 has questioned the provisions of Basel II agreement on capital ade...
Since Value-at-Risk (VaR) disregards tail losses beyond the VaR boundary, the expected shortfall (ES...
With the regulatory requirements for risk management, Value at Risk (VaR) has become an essential to...
Using non-parametric and parametric models, we show that the bivariate distribution of an Asian port...
Using non-parametric and parametric models, we show that the bivariate distribution of an Asian port...
This thesis intends to examine a risk measure used for estimating a potential future loss. The risk ...
Value at Risk plays a crucial role in the risk management. However, this risk measure has some drawb...
Expected shortfall (ES) has been widely accepted as a risk measure that is conceptually superior to ...
This paper characterizes the term structure of risk measures such as value at risk (VaR) and expecte...
We have developed a regime switching framework to compute the Value at Risk and Expected Shortfall m...
This dissertation aims to examine the performance of different risk measures with three internationa...
Value at Risk plays a crucial role in the risk management. However, this risk measure has some drawb...
This paper studies seven GARCH models, including RiskMetrics and two long memory GARCH models, in Va...
It is well known that the use of Gaussian models to assess financial risk leads to an underestimatio...
Basel II requires Value at Risk (VaR) as a standardized risk measure for calculating market risk. Ho...
The financial crisis of 2007-2009 has questioned the provisions of Basel II agreement on capital ade...
Since Value-at-Risk (VaR) disregards tail losses beyond the VaR boundary, the expected shortfall (ES...
With the regulatory requirements for risk management, Value at Risk (VaR) has become an essential to...
Using non-parametric and parametric models, we show that the bivariate distribution of an Asian port...
Using non-parametric and parametric models, we show that the bivariate distribution of an Asian port...
This thesis intends to examine a risk measure used for estimating a potential future loss. The risk ...
Value at Risk plays a crucial role in the risk management. However, this risk measure has some drawb...
Expected shortfall (ES) has been widely accepted as a risk measure that is conceptually superior to ...