This paper contributes to the existing literature on dating currency crisis in three ways. First, we combine the Monte Carlo simulation with a modified Hill’s estimator method to obtain more robust results and efficiently deal with bias variance tradeoff in identifying extreme values. Second, we propose a systematic way to choose the reference country in building the Exchange Market Pressure index rather than arbitrary or descriptive reasoning. Third, different data frequencies are applied and the results are evaluated. Our finding suggests that higher frequency data are more appropriate while applying Extreme Value Theory. It urges researchers to be more cautious in applying EVT and interpreting tail incidences that are obtained from lower frequency data.

Additional Metadata
JEL Foreign Exchange (jel F31), Forecasting and Simulation (jel F47), Financial Crises (jel G01)
Publisher Department of Economics
Series Carleton Economic Papers (CEP)
Karimi, Mohammad, & Voia, M.-C. (2011). Identifying Extreme Values of Exchange Market Pressure (No. CEP 11-10). Carleton Economic Papers (CEP). Department of Economics.