Masterarbeit, 2007
79 Seiten, Note: 1 (A)
This master's thesis explores risk measures, focusing primarily on Value at Risk (VaR) and its limitations. The work aims to critically evaluate the effectiveness of VaR as a risk measure and investigate alternative approaches to risk assessment. The thesis examines how VaR is used in practice, analyzes its strengths and weaknesses, and explores the theoretical foundations of alternative risk measures.
The thesis focuses on risk measures, particularly Value at Risk (VaR), alternative risk measures, coherent risk measures, market risk, risk management, financial risk, and the theoretical foundations of risk assessment.
VaR is a widely used risk measure that estimates the maximum potential loss of a portfolio over a specific time period with a given confidence level.
The main drawbacks include its lack of subadditivity (it may not account for diversification benefits) and its failure to measure the magnitude of losses beyond the VaR threshold.
Coherent risk measures are those that satisfy certain mathematical properties, such as subadditivity, which VaR often fails to meet.
The thesis explores alternatives like Expected Shortfall (ES), Conditional Value at Risk (CVaR), Tail Conditional Expectation (TCE), and Worst Conditional Expectation (WCE).
This refers to the fact that many alternative risk measures (like CVaR and Expected Shortfall) are very similar or even identical concepts, but different terms are used across the literature.
Common approaches include the Parametric (Variance-Covariance) approach, Historical Simulation, and Monte Carlo Simulation.
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