Dundee Discussion Papers in Economics 291: Moment matching in the present value identity, and a new model

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    The constrained Vector Auto regression and the fairly recent state space approach are commonly used in the asset pricing literature to estimate present value models. They are used to model time series dynamics of discount rates and expected dividend growth, with the objective of understanding predictability and stock market movements. This paper shows that an ARMA(1,1) structure of price-dividend ratio and realized dividend growth nests an AR(1) specication for expected returns and expected dividend growth. A simpler model is proposed which involves estimating realized divi-dend growth and the price-dividend ratio as an ARMA(1,1), and matching the variance and autocorrelation of the estimated models to those of the present value to estimate parameters. Monte Carlo results show that the state space model has larger standard errors. Expected returns is persistent in both models, unlike expected dividend growth
    in the ARMA(1,1). A modest application of the model to the predictability literature shows stronger evidence towards dividend growth predictability.
    Original languageEnglish
    PublisherUniversity of Dundee
    Number of pages28
    Publication statusPublished - Oct 2015

    Publication series

    NameDundee Discussion Papers in Economics
    PublisherUniversity of Dundee
    ISSN (Print)1473-236X


    • Present Value
    • VAR
    • State Space
    • Moment Matching

    ASJC Scopus subject areas

    • Economics, Econometrics and Finance(all)
    • Economics and Econometrics
    • Finance


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