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US Stock Market data will be used. Below, we have the data item description. Yyymm is the date variable. The time - series data is
US Stock Market data will be used. Below, we have the data item description.
Yyymm is the date variable. The timeseries data is at monthly frequency.
MktNext is onemonth forward total return of the US equity market index.
Divyield is the average dividend yield of the US equity market index.
Earnyield is the average earnings yield of the US equity market index.
Value is the booktomarket ratio of the US equity market. It signifies how much value the stocks have in terms of
fundamentals.
Ntis is the total net stock issuance in the US Firms issue new stocks and buy back existing stocks due to several
financial reasons. Net issuance is the net change in the number of stock shares on the public equity market.
Default is the difference between yields of highrisk corporate bonds and investment grade corporate bonds traded in
the US corporate bond market.
Term is the difference between yields of the longterm government bonds and shortterm government bills in the US
treasury market.
Infl is the inflation rate.
Questions
Can we predict equity market returns?
Which variables are significant in predicting market returns?
Why do univariate and multivariate regressions give different estimates for the same variables?
Hypothesis
Hnull Variable X is not a predictor for next months market return.
Halternate Variable X is a predictor for next months market return.
Test
Please use linear regression to test the hypothesis for each single variable and for all variables together multiple
regression
Test Results
Please interpret the test results from a statistical significance point of view.
Interpretation
What can we conclude about market return prediction?
yyyymm MktNext divyield earnyield value ntis default term infl
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