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Value at risk forecasts by extreme value models in a conditional duration framework

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References

1998Evaluating Interval Forecasts2,689 cited
2004CAViaR2,210 cited
2005Quantitative Risk Management: Concepts, Techniques, and Tools2,201 cited
2006Quantitative Risk Management: Concepts, Techniques, and Tools1,932 cited
1998Autoregressive Conditional Duration: A New Model for Irregularly Spaced Transaction Data1,817 cited
2000Estimation of tail-related risk measures for heteroscedastic financial time series: an extreme value approach1,732 cited
2005Value-at-Risk Prediction: A Comparison of Alternative Strategies635 cited
2009Evaluating Value-at-Risk Models with Desk-Level Data366 cited
2000The Logarithmic ACD Model: An Application to the Bid-Ask Quote Process of Three NYSE Stocks266 cited
2000Non‐monotonic hazard functions and the autoregressive conditional duration model230 cited
2003Extreme Values in Finance, Telecommunications, and the Environment225 cited
2003A comparison of financial duration models via density forecasts212 cited
2005Estimating value-at-risk: a point process approach187 cited
2009Modelling Financial High Frequency Data Using Point Processes184 cited
2003High volatility, thick tails and extreme value theory in value-at-risk estimation

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166 cited

2005A Discrete-State Continuous-Time Model of Financial Transactions Prices and Times142 cited

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