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Conditional Means of Time Series Processes and Time Series Processes for Conditional Means

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Author Info
Fiorentini, G
Sentana, E

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Abstract

We study the processes for the conditional mean and variance given a specification of the process for the observed time series. We derive general results for the conditional mean of univariate and vector linear processes, and then apply it to various models of interest.

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Publisher Info
Paper provided by Centro de Estudios Monetarios Y Financieros- in its series Papers with number 9617.

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Length: 39 pages
Date of creation: 1996
Date of revision:
Handle: RePEc:fth:cemfdt:9617

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Postal: Centro de Estudios Monetarios Y Financieros. Casado del Alisal, 5-28014 Madrid, Spain.
Phone: 914290551
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Related research
Keywords: STATISTICS;

Other versions of this item:

Find related papers by JEL classification:
C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions
C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions

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  3. René Garcia & Éric Renault, 1999. "Latent Variable Models for Stochastic Discount Factors," CIRANO Working Papers 99s-47, CIRANO. [Downloadable!]
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