We investigate and construct forecasting models for the exchange rate of the Indonesian rupiah against the US dollar. Monthly data for three variables; exchange rate, interest rate and foreign reserves were employed in the Economic Forecasting Program (EFP) to obtain the forecasting results. The...

In this chapter, we analysing and forecasting the New Taiwanese Dollar against the US dollar. Forecasting models were tested using the three variables; exchange rate, money supply and Balance Remittance. Both VAR and VARMA models accurately predicted turning points and no false fluctuations were...

In this chapter, economic forecasting techniques were used to forecast the exchange rate of the New Taiwan (N.T.) dollar, given that there is a tolerable amount of favourable trade balance between Taiwan and the US. To test this monthly data for the economic variables; Taiwanese exchange rate...

The aim of this study is to predict the Turkish Lira’s exchange rate against the US Dollar by combining models . As a result, the authors include three univariate forecasting models: ARIMA, Naive, and Exponential smoothing, and one multivariate model: NARDL for the first time with Artificial...

Foreign exchange risk management is a new challenging area. After globalization, the perfection in exchange rate forecasting is very essential for hedging decisions. In this paper, an attempt has been made to estimate the parameters of Autoregressive Integrated Moving Average (ARIMA) and...