Regression Yield Curves for U.S. Government Securities
Kalman J. Cohen, Robert L. Kramer, W. Howard Waugh
Abstract
Kalman J. Cohen, Robert L. Kramer, W. Howard Waugh
Abstract
The uses of regression analysis to estimate market yield curves for U.S. Government securities are considered in this paper. Several possible regression models for this purpose are examined. It is found that models which regress either the before-tax yield or the after-tax yield of governments on the number of days remaining to maturity and the square of the logarithm of the number of days remaining to maturity can fruitfully be applied to actual market data in determining yield curves.
OpenAlex reports 22 citations for this work. Citation counts describe recorded attention and do not establish research quality.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
The uses of regression analysis to estimate market yield curves for U.S. Government securities are considered in this paper. Several possible regression models for this purpose are examined. It is found that models which regress either the before-tax yield or the after-tax yield of governments on the number of days remaining to maturity and the square of the logarithm of the number of days remaining to maturity can fruitfully be applied to actual market data in determining yield curves.
Key concepts: Yield curve, Yield (engineering), Maturity (psychological), Regression analysis, Econometrics, Economics, Ordinary least squares, Logarithm