Measurement of volatility in financial time Series An evaluation of the representative exchange rate market (ERM) in Colombia

There are different methods to measure the volatility regarding clustering in financial series, in which the assumption of the error distribution determines the structure of the log-likelihood function. This paper analyses the flexibility of ARCH models to capture the volatility of TRM in Colombia. The results show that the MA (1) model in mean and GARCH (1, 1) model in variance outperform another kind of specification, which tries to measure the volatility clustering of the TRM in Colombia.