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Estimation of Extreme Value at Risk in Rwanda Exchange Rate

Ntawihebasenga Jean de Dieu, P.N. Mwita, J.K. Mung’atu

Abstract


Estimating the probability of rare and extreme events is a crucial issue in the risk estimation of exchange rate returns. Extreme Value Theory (EVT) is a well developed theory in the field of probability that studies the distribution of extreme realizations of a given distribution function, or of a stochastic process, satisfying certain assumptions. This work has fitted the Generalized Pareto Distribution (GPD) to the excess returns assuming the residuals are independent and identically distributed. The results are used to estimate extreme Value at Risk (VaR) in Rwanda exchange rate process.

Keywords


Exchange rate, EVT approach, Generalized Pareto Distribution, Value at Risk, Maximum Likelihood Estimation and confidence interval.

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