Essays about: "Kupiec´s test"
Showing result 1 - 5 of 8 essays containing the words Kupiec´s test.
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1. GARCH models applied on Swedish Stock Exchange Indices
University essay from Uppsala universitet/Statistiska institutionenAbstract : In the financial industry, it has been increasingly popular to measure risk. One of the most common quantitative measures for assessing risk is Value-at-Risk (VaR). VaR helps to measure extreme risks that an investor is exposed to. READ MORE
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2. Predicting Uncertainty in Financial Markets : -An empirical study on ARCH-class models ability to estimate Value at Risk
University essay from Uppsala universitet/Statistiska institutionenAbstract : Value at Risk has over the last couple of decades become one of the most widely used measures of market risk. Several methods to compute this measure have been suggested. READ MORE
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3. Prediction of Volatility and Value at Risk with Copulas for Portfolios of Commodities
University essay from Lunds universitet/Matematisk statistikAbstract : Value at Risk (VaR) is a popular measurement for valuing the risk exposure. Correct estimates of VaR are essential in order to properly be able to monitor the risk. This thesis examines a copula approach for estimating VaR for portfolios of commodities. The predictions are made from a semi- parametric model with Monte Carlo methods. READ MORE
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4. Quantifying market risk : - An evaluation of VaR methodologies in the banking sector
University essay from Umeå universitet/NationalekonomiAbstract : In this study some of the most commonly used methods by banks whenestimating the Value-at-risk (VaR) is evaluated. To find the best models forestimating the VaR, the performance of these methods is assessed on the basisof Kupiec’s unconditional coverage test of statistical accuracy. READ MORE
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5. Which GARCH model is best for Value-at-Risk?
University essay from Uppsala universitet/Nationalekonomiska institutionenAbstract : The purpose of this thesis is to identify the best volatility model for Value-at-Risk(VaR) estimations. We estimate 1 % and 5 % VaR figures for Nordic indices andstocks by using two symmetrical and two asymmetrical GARCH models underdifferent error distributions. READ MORE