Difference between the actual value and the fitted value

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Reference no: EM132412126

Questions -

Question 1. Explain some of the differences between financial data and economic data.

Question 2. Outline and discuss the steps involved in setting up and estimating an econometric model.

Question 3. Explain how you would carry out a hypothesis test and discuss the difference between a one and two tailed test.

Question 4. Given the following regression result:

R^t = 0.567 + 1.045Rmt, n = 50

SE (0.33) (0.06)

(Standard errors in brackets)

where Rt and Rmt denote the excess return of a stock and the excess return of the market index for the London Stock Exchange ( a hat or ^ over a variable indicates it is a fitted value).

a) If Rmt increases by 1%, what happens to R^t?

b) If Rmt is zero, what value does R^t take?

c) Are these coefficients statistically significant? Explain the meaning of your findings with regards to the Capital Asset Pricing Model (CAPM).

d) Derive a 95% confidence interval for each coefficient?

Question 5. Given the following result, use a t-test to determine if xt has a significant effect on yt. (62 observations)

y^t = 0.7 + 0.6xt

(0.4) (0.2)

(Standard errors in brackets)

Question 6. Explain the difference between the actual value and the fitted value of the dependent variable (y).

Question 7. Given the following data, estimate the constant α, the slope parameter β and the explanatory power R2, interpret the results.

Date

y

x

1994

72.30

100.00

1995

91.65

120.00

1996

135.20

200.00

1997

94.60

130.00

1998

163.50

240.00

1999

100.00

114.00

2000

86.50

126.00

2001

142.36

213.00

2002

120.00

156.00

2003

112.56

167.00

2004

132.30

189.00

2005

149.80

214.00

2006

115.30

188.00

2007

132.20

197.00

2008

149.50

206.00

2009

100.25

142.00

2010

79.60

112.00

2011

90.20

134.00

2012

116.50

169.00

2013

126.00

170.00

Reference no: EM132412126

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