where MYR is the quarterly change in the ringgit, INF is the previous quarterly percentage change in
the inflation differential, and INC is the previous quarterly percentage change in the income growth
differential. Regression results indicate coefficients of a0 = .005; a1 = .4; and a2 = .7. The most recent
quarterly percentage change in the inflation differential is −5%, while the most recent quarterly
percentage change in the income differential is 3%. Using this information, the forecast for the
percentage change in the ringgit is:
23. The following regression model was estimated to forecast the value of the Indian rupee (INR):
INRt = a0 + a1INTt + a2INFt − 1 +
t,
where INR is the quarterly change in the rupee, INT is the real interest rate differential in period t
between the U.S. and India, and INF is the inflation rate differential between the U.S. and India in the
previous period. Regression results indicate coefficients of a0 = .003; a1 = −.5; and a2 = .8. Assume
that INFt − 1 = 2%. However, the interest rate differential is not known at the beginning of period t and
must be estimated. You have developed the following probability distribution:
The expected change in the Indian rupee in period t is:
24. Huge Corporation has just initiated a market-based forecast system using the forward rate as an
estimate of the future spot rate of the Japanese yen (¥) and the Australian dollar (A$). Listed below are
the forecasted and realized values for the last period: