The purpose of this paper is to investigate the performance of VaR models at measuring risk for WTI oil one-month futures returns. Risk models, ranging from industry standards such as RiskMetrics and historical simulation to conditional extreme value model, are used to calculate commodity market risk at extreme quantiles: 0.95, 0.99, 0.995 and 0.999 for both long and short trading positions. Our results show that out of the tested fat tailed distributions, generalised Pareto distribution provides the best fit to both tails of oil returns although tails differ significantly, with the right tail having a higher tail index, indicative of more extreme events. The main conclusion is that, in the analysed period, only extreme value theory based m...
This thesis implements different approaches to predict the one-day ahead Value at Risk (VaR) of crud...
The purpose of this paper is to investigate the performance of unconditional and conditional Value a...
The purpose of this paper is to investigate the performance of unconditional and conditional Value a...
The purpose of this paper is to investigate the performance of VaR models at measuring risk for WTI ...
Recent increases in energy prices, especially oil prices, have become a principal concern for consum...
Master's thesis in Industrial economicsValue at Risk (VaR) is an important calculation in risk manag...
International audienceOver the last three decades, advanced economies have been facing a substantial...
In the paper we analyse the performance of Value at Risk (VaR) models at extreme quantiles: 0.99, 0....
Recent increases in energy prices, especially oil prices, have become a principal concern for consum...
The price gap between West Texas Intermediate (WTI) and Brent crude oil markets has been completely ...
Since the last three decades, advanced economies have been facing a substantial rise not only in the...
We examine the predictive value of tail risks of oil returns for the realized variance of oil return...
The purpose of this paper is to model and forecast the risk of six commodities namely, crude oil, co...
The thesis will consist of two parts. In part 1 I look at how speculative positions effect the price...
This thesis implements different approaches to predict the one-day ahead Value at Risk (VaR) of crud...
The purpose of this paper is to investigate the performance of unconditional and conditional Value a...
The purpose of this paper is to investigate the performance of unconditional and conditional Value a...
The purpose of this paper is to investigate the performance of VaR models at measuring risk for WTI ...
Recent increases in energy prices, especially oil prices, have become a principal concern for consum...
Master's thesis in Industrial economicsValue at Risk (VaR) is an important calculation in risk manag...
International audienceOver the last three decades, advanced economies have been facing a substantial...
In the paper we analyse the performance of Value at Risk (VaR) models at extreme quantiles: 0.99, 0....
Recent increases in energy prices, especially oil prices, have become a principal concern for consum...
The price gap between West Texas Intermediate (WTI) and Brent crude oil markets has been completely ...
Since the last three decades, advanced economies have been facing a substantial rise not only in the...
We examine the predictive value of tail risks of oil returns for the realized variance of oil return...
The purpose of this paper is to model and forecast the risk of six commodities namely, crude oil, co...
The thesis will consist of two parts. In part 1 I look at how speculative positions effect the price...
This thesis implements different approaches to predict the one-day ahead Value at Risk (VaR) of crud...
The purpose of this paper is to investigate the performance of unconditional and conditional Value a...
The purpose of this paper is to investigate the performance of unconditional and conditional Value a...