English, Article, Journal or magazine article edition: Asset Pricing Tests with Long Run Risks in Consumption Growth George M. Constantinides; Anisha Ghosh

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Bookmark: http://trove.nla.gov.au/version/45221
Physical Description
  • preprint
Language
  • English

Edition details

Title
  • Asset Pricing Tests with Long Run Risks in Consumption Growth
Author
  • George M. Constantinides
  • Anisha Ghosh
Physical Description
  • preprint
Notes
  • The Bansal and Yaron (2004) model of long-run risks (LRR) in aggregate consumption and dividend growth and its cointegrated extension are tested on a cross-section of assets and rejected over 1930-2006. Reversal of earlier conclusions is due to the increased power of the tests resulting from two observations under the null: the latent state variables and, therefore, the pricing kernel are known affine functions of observables; and, the unconditional moments of the time series processes impose constraints in addition to the pricing constraints. The models perform better in postwar subperiods, consistent with evidence of structural-breaks.
  • RePEc:nbr:nberwo:14543
  • The Bansal and Yaron (2004) model of long run risks (LLR) in aggregate consumption and dividend growth and its extension that captures potential co-integration of the consumption and dividend levels, are tested on a cross-section of asset classes and rejected using annual data over the period 1930-2006 and using both annual and quarterly data over the post-war period. The reversalof earlier empirical conclusions is partly due to the increase in the power of the tests resulting from two observations under the null. First, the latent state variables and, therefore, the pricing kernel are known affine functions of observablessuch as the interest rate and the market-wide price-dividend ratio. Second, the parameters of the time-series processes of consumption and dividend growth, theLLR variable, and its conditional variance impose constraints on the parameters of the pricing kernel. The value of the persistence parameter of the LRR variablethat best fits the data implies that its half-life is shorter than that of the business cycle.
  • RePEc:fmg:fmgdps:dp609
Language
  • English
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