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Economic Financial Forecasting

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Submitted By corvingtonm
Words 2014
Pages 9
Meghan Corvington February 29. 2016
EC492 Forecasting Prof. Orlowski

PROBLEM SET #1 (Due date: February 29, 2016)

Use the quarterly data base from the Federal Reserve Bank of St. Louis FRED provided to you in the EViews program to answer the following questions:

1. Choose the real US export of goods and services (REXPGS), real import of goods and services (RIMPGS) and disposable personal income (DPI) variables. View their descriptive statistics. Analyze skewness, kurtosis and volatility (measured by the coefficient of variation) of each of them. Discuss possible economic factors underlying the data asymmetry, kurtosis and relative volatility. In this example, all three variables are left skewed, while kurtosis is between 1.99 and 2.29 for each of the three variables. I measured volatility based on the standard deviation of the three variables. DPI is extremely volatile, while RIMPGS and REXPGS are not as volatile as DPI. It seems as if there is a strong correlation between the amounts of standard deviations compared to the kurtosis. There is a lack of asymmetry between the three variables, as there is no equivalence in various measurements.

| |REXPGS |RIMPGS |DPI |
| Mean | 747.1115 | 962.0551 | 4682.076 |
| Median | 447.5000 | 636.0000 | 3400.400 |
| Maximum | 2123.900 | 2667.200 | 13506.80 |
| Minimum | 86.60000 | 116.3000 | 353.6000 |
| Std. Dev. | 618.7146 | 822.1677 | 4047.948 |
| Skewness | 0.772824 | 0.733214 | 0.676775 |
| Kurtosis | 2.296218 |

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