SING SOME TWO PARAMETERS DISTRIBUTIONS FOR MODELLING DAILY EXCHANGE RATE SINGAPORE DOLLAR TO INDONESIA RUPIAH DATA

One of the nations that affects Indonesia's economic growth is Singapore, a developed nation in Southeast Asia. Thus, it is crucial to use probability modelling to examine the change in currency exchange rates from the Singapore dollar (SGD) to the Indonesian rupiah (IDR). This work focuses on predicting daily exchange rate movements of SGD to IDR utilizing a variety of two-parameter probability models, including Weibull, Gamma, Log Normal, and Normal. using graphical techniques like density plots and cumulative plots as well as numerical techniques like Akaike information criterion (AIC) and Bayesian information criterion to determine the optimum model or The Goodness of Fit (GOF) (BIC). Following that, the GOF between theoretical data and model distributions is assessed. Keywords: Exchange rate, GOF, Wiebull, Gamma, log normal, normal distribution