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Persistent link: https://www.econbiz.de/10005373203
This paper analyzes the maturity structure of term premia using McCulloch's U.S. Treasury yield curve data from 1953-91, allowing expected returns to vary across time. One-, three-, six-, and twelve-month holding period returns on maturities up to five years are projected on three ex ante...
Persistent link: https://www.econbiz.de/10005379742
This paper presents a new method for identifying triangular systems of time-series data. Identification is the product of a bivariate GARCH process. Relative to the literature on GARCH-based identification, this method distinguishes itself both by allowing for a time-varying covariance and by...
Persistent link: https://www.econbiz.de/10005379762
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Estimates of the speed of convergence vary widely and depend on the methodology employed. While cross-sectional regressions typically find slow convergence, time series estimates suggest that incomes converge rapidly. This paper uses panel methods to combine cross-sectional and time series...
Persistent link: https://www.econbiz.de/10005078243
This paper studies the effects of applying the Hodrick-Prescott filter to trend and difference stationary time series. Applying the Hodrick-Prescott filter to an integrated process is similar to detrending a random walk. When the data are difference stationary, the Hodrick-Prescott filter can...
Persistent link: https://www.econbiz.de/10005078300
The paper introduces a new method for the estimation of time-varying regression coefficients employed in financial modeling. We use Malliavin calculus (stochastic calculus of variations) to estimate the time-varying regression coefficients that appear in linear regression models, and the...
Persistent link: https://www.econbiz.de/10005080463
This paper discusses various approaches to decompose economic time series into their trend and cyclical components. For over 30 years now, the Deutsche Bundesbank publishes trend-adjusted indicators in its Statistical Supplement 4 entitled ?Seasonally Adjusted Business Statistics? which are...
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