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This article explores the concept of Value at Risk (VaR), a crucial measure in financial risk management, and highlights the various problems associated with its implementation. It discusses the limitations of VaR, including its reliance on historical data, the potential for model risk, and the challenges in capturing extreme market events. Additionally, we will address the criticisms surrounding VaR, including its inability to quantify tail risks, and suggest how practitioners can navigate these challenges to improve risk assessment strategies.
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