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The following six (4) questions are based on the following data: Year Rp Rm Rf 2000 18.1832 -24.9088 5.112 2001 -3.454 -15.1017 5.051 2002 47.5573

The following six (4) questions are based on the following data:

Year Rp Rm Rf
2000 18.1832 -24.9088 5.112
2001 -3.454 -15.1017 5.051
2002 47.5573 20.784 3.816
2003 28.7035 9.4163 4.2455
2004 29.8613 8.7169 4.2182
2005 11.2167 16.3272 4.3911
2006 32.2799 14.5445 4.7022
2007 -41.0392 -36.0483 4.0232
2008 17.6082 9.7932 2.2123
2009 14.1058 16.5089 3.8368
2010 16.1978 8.0818 3.2935
2011 11.558 15.1984 1.8762
2012 42.993 27.1685 1.7574
2013 18.8682 17.2589 3.0282
2014 -1.4678 5.1932 2.1712
2015 9.2757 4.4993 2.2694
2016 8.5985 23.624 2.4443

When performing calculations in the following problems, use the numbers in the table as-is. I.e., do NOT convert 8.5985 to 8.5985% (or 0.085985). Just use plain 8.5985.

1. Using the basic market model regression, R p = + R m + , what is the beta of this portfolio? Yes, this is an opportunity to practice regression analysis. You can use Excel or other tool of choice.

2. For precision, find the portfolio beta using the excess return market model:

R p R f = + ( R m R f ) +

[Hint: compute annual excess returns first, then run regression.]

3. Using the excess return beta from the previous problem, what is Jensen's alpha for the portfolio?

[Hint: use Equation (17.6) from Moore (2015)]

4. What is the portfolio's M2 measure?

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