Variables used in the regression
Dividend Yield = .03129 -.01134 Beta - 0.009 Expected Growth +.017 Market Debt to Capital Ratio
T statistic on intercept = 24.27
T statistic on beta = 9.35
T statistic on expected growth = 2.02
T statistic on debt to capital ratio = 7.00
US Regression: Dividend Payout
Dividend Yield = .862 -.332 Beta -1.152 Expected Growth +.20 Market Debt to Capital Ratio
T statistic on intercept = 21.40
T statistic on beta = 8.68
T statistic on expected growth = 8.78
T statistic on debt to capital ratio = 2.67
Global Regression: Dividend Yield
Dividend Yield = .02296 -.0007 Beta - 0.0074 Expected Growth +.019 Market Debt to Capital Ratio
T statistic on intercept = 25.74
T statistic on beta = 1.21
T statistic on expected growth = 3.35
T statistic on debt to capital ratio = 10.62
Global Regression: Dividend Payout
Dividend Yield = .564 -.049 Beta -0.409 Expected Growth +.10 Market Debt to Capital Ratio
T statistic on intercept = 36.08
T statistic on beta = 4.67
T statistic on expected growth = 9.55
T statistic on debt to capital ratio = 4.22
Assume that you want to estimate the dividend payout ratio for a firm with the following characteristics, using the US regression:
Regression beta = 1.20
Expected Growth in EPS over next 5 years = 10%
Market Debt to Capital = 30%
If your predicted value is less than zero, your predicted dividend payout ratio is zero.