One of the key components of financial risk management is risk measurement. This typically requires modeling, estimating and forecasting tail-related quantities of the asset returns’ conditional distribution. Recent advances in the financial econometrics literature have developed several models based on Extreme Value Theory (EVT) to carry out these tasks. The purpose of this paper is to review these methods.

Bee, M., Trapin, L. (2018). Estimating and Forecasting Conditional Risk Measures with Extreme Value Theory: A Review. RISKS, 6(2), 1-16 [10.3390/risks6020045].

Estimating and Forecasting Conditional Risk Measures with Extreme Value Theory: A Review

Trapin, Luca
2018

Abstract

One of the key components of financial risk management is risk measurement. This typically requires modeling, estimating and forecasting tail-related quantities of the asset returns’ conditional distribution. Recent advances in the financial econometrics literature have developed several models based on Extreme Value Theory (EVT) to carry out these tasks. The purpose of this paper is to review these methods.
2018
Bee, M., Trapin, L. (2018). Estimating and Forecasting Conditional Risk Measures with Extreme Value Theory: A Review. RISKS, 6(2), 1-16 [10.3390/risks6020045].
Bee, Marco; Trapin, Luca
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/721124
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