Question
This data set includes recent monthly spot exchange rates for Poland Zloty against the U.S. dollar. Step 1: Using one lag only and the range
This data set includes recent monthly spot exchange rates for Poland Zloty against the U.S. dollar.
Step 1: Using one lag only and the range of data on SPOT rate for the data, estimate the following specification. Use regression in Excel or in any other software that you desire. Note again: You have to accurately follow this instruction, otherwise your answers will be incorrect.
SR t = a0 + a1 SR t - 1
Where SR t is spot exchange rate at time t; a0 is the intercept and a1 is the slope.
The estimated value of a1 is 0.9717
Step 2:Using the above estimated relation, forecast the outright values of Polish currency for 1 and 2 months ahead, i.e., beyond the end of the data (= for July 5 August 5).
Questions:
- The estimated value of a0 is:
- The outright forecast for 1 month ahead beyond the end of the data is:
- The outright forecast for 2 months ahead beyond the end of the data is:
CURRENCY | U$ |
6/5/10 | 3.47575 |
7/5/10 | 3.2817 |
8/5/10 | 3.0333 |
9/5/10 | 3.06475 |
10/5/10 | 2.8588 |
11/5/10 | 2.79045 |
12/5/10 | 2.97985 |
1/5/11 | 2.9485 |
2/5/11 | 2.86995 |
3/5/11 | 2.84605 |
4/5/11 | 2.81915 |
5/5/11 | 2.70915 |
6/5/11 | 2.71735 |
7/5/11 | 2.72715 |
8/5/11 | 2.84825 |
9/5/11 | 2.9867 |
10/5/11 | 3.29155 |
11/5/11 | 3.1699 |
12/5/11 | 3.30055 |
1/5/12 | 3.524 |
2/5/12 | 3.1803 |
3/5/12 | 3.12355 |
4/5/12 | 3.1833 |
5/5/12 | 3.19305 |
6/5/12 | 3.5188 |
7/5/12 | 3.40245 |
8/5/12 | 3.29785 |
9/5/12 | 3.3194 |
10/5/12 | 3.1179 |
11/5/12 | 3.2232 |
12/5/12 | 3.15745 |
1/5/13 | 3.1586 |
2/5/13 | 3.08535 |
3/5/13 | 3.16665 |
4/5/13 | 3.19265 |
5/5/13 | 3.16415 |
6/5/13 | 3.26585 |
7/5/13 | 3.35995 |
8/5/13 | 3.1853 |
9/5/13 | 3.27135 |
10/5/13 | 3.09255 |
11/5/13 | 3.10495 |
12/5/13 | 3.06935 |
1/5/14 | 3.06315 |
2/5/14 | 3.09605 |
3/5/14 | 3.04705 |
4/5/14 | 3.0385 |
5/5/14 | 3.02955 |
6/5/14 | 3.0387 |
7/5/14 | 3.04965 |
8/5/14 | 3.12825 |
9/5/14 | 3.2263 |
10/5/14 | 3.34735 |
11/5/14 | 3.38525 |
12/5/14 | 3.38105 |
1/5/15 | 3.6016 |
2/5/15 | 3.64275 |
3/5/15 | 3.75425 |
4/5/15 | 3.73815 |
5/5/15 | 3.6063 |
6/5/15 | 3.74365 |
7/5/15 | 3.7751 |
8/5/15 | 3.8379 |
9/5/15 | 3.8028 |
10/5/15 | 3.78465 |
11/5/15 | 3.90705 |
12/5/15 | 3.9623 |
1/5/16 | 4.0171 |
2/5/16 | 3.96185 |
3/5/16 | 3.93145 |
4/5/16 | 3.74545 |
5/5/16 | 3.8814 |
6/5/16 | 3.86405 |
7/5/16 | 4.00445 |
8/5/16 | 3.86725 |
9/5/16 | 3.9037 |
10/5/16 | 3.837 |
11/5/16 | 3.88875 |
12/5/16 | 4.1942 |
1/5/17 | 4.1228 |
2/5/17 | 3.98395 |
3/5/17 | 4.07115 |
4/5/17 | 3.96465 |
5/5/17 | 3.8318 |
6/5/17 | 3.72445 |
7/5/17 | 3.746 |
8/5/17 | 3.60635 |
9/5/17 | 3.55555 |
10/5/17 | 3.67385 |
11/5/17 | 3.6539 |
12/5/17 | 3.55605 |
1/5/18 | 3.451 |
2/5/18 | 3.3406 |
3/5/18 | 3.4025 |
4/5/18 | 3.43365 |
5/5/18 | 3.56035 |
6/5/18 | 3.66535 |
7/5/18 | 3.7264 |
8/5/18 | 3.6709 |
9/5/18 | 3.7233 |
10/5/18 | 3.7417 |
11/5/18 | 3.77925 |
12/5/18 | 3.77965 |
1/5/19 | 3.75985 |
2/5/19 | 3.7577 |
3/5/19 | 3.80075 |
4/5/19 | 3.82235 |
5/5/19 | 3.82595 |
6/5/19 | 3.79535 |
7/5/19 | 3.7893 |
8/5/19 | 3.8604 |
9/5/19 | 3.92835 |
10/5/19 | 3.9341 |
11/5/19 | 3.8494 |
12/5/19 | 3.8574 |
1/5/20 | 3.79925 |
2/5/20 | 3.8587 |
3/5/20 | 3.84045 |
4/5/20 | 4.22915 |
5/5/20 | 4.1806 |
6/5/20 | 3.9203 |
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