4. Use regression analysis in Excel to estimate the beta coefficient using the nominal interest rate as the dependent variable and inflation rate as an independent variable during 1987-2017, and interpret the meaning of estimated equation and beta coefficient.
Inflation Premium Rate | Nominal Interest Rate | Year |
3.7 | 9.38 | 1987 |
4.1 | 9.71 | 1988 |
4.8 | 9.26 | 1989 |
5.4 | 9.32 | 1990 |
4.2 | 8.77 | 1991 |
3 | 8.14 | 1992 |
3 | 7.22 | 1993 |
2.6 | 7.97 | 1994 |
2.8 | 7.59 | 1995 |
2.9 | 7.37 | 1996 |
2.3 | 7.27 | 1997 |
1.6 | 6.53 | 1998 |
2.2 | 7.05 | 1999 |
3.4 | 7.62 | 2000 |
2.8 | 7.08 | 2001 |
1.6 | 6.49 | 2002 |
2.3 | 5.66 | 2003 |
2.7 | 5.63 | 2004 |
3.4 | 5.23 | 2005 |
3.2 | 5.59 | 2006 |
2.9 | 5.56 | 2007 |
3.8 | 5.63 | 2008 |
-0.4 | 5.31 | 2009 |
1.6 | 4.94 | 2010 |
3.2 | 4.64 | 2011 |
2.1 | 3.67 | 2012 |
1.5 | 4.23 | 2013 |
1.6 | 4.16 | 2014 |
0.1 | 3.89 | 2015 |
Answer:
The Summary report from using regression analysis in excel is as follows:
Beta coefficient = Slope = 0.951599213 = 0.9516
Intercept = 4.010504196 = 4.0105
The equation will be:
Y = 4.0105 + 0.9516X
Interpretation:
If Inflation premium = 0, then Nominal Interest = 4.01%
The beta coefficient of Nominal interest is 0.9516
This means for every 1% change in inflation premium, the nominal interest will change by 0.95%
4. Use regression analysis in Excel to estimate the beta coefficient using the nominal interest rate...