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Does the Consumption CAPM Help in Accounting for Expected Currency Returns?

  • Josh Stillwagon

    ()

    (Department of Economics, Trinity College)

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    The Consumption Capital Asset Pricing Model (CCAPM) has been widely rejected on the basis of its implausibly large estimates of risk aversion, despite numerous modifications to its specification of risk preferences. This study instead relaxes the assumption of perfect foresight (REH), and uses survey data on traders' exchange rate forecasts to test whether the expected premium is related to the covariance between the exchange rate and consumption. The covariance is measured through the novel use of rolling-windows of the realized covariance. Interestingly, the model is able to account for expected returns with more plausible degrees of risk aversion, but only once using backward-looking rolling measures of the covariance, suggesting market participants infer about the future covariance based on experience from the recent past. There is also evidence that inclusion of the real exchange rate improves the plausibility of the estimates and the model fit.

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    File URL: http://internet2.trincoll.edu/repec/WorkingPapers2013/WP13-17.pdf
    File Function: First version, 2013
    Download Restriction: no

    Paper provided by Trinity College, Department of Economics in its series Working Papers with number 1317.

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    Length: 43 pages
    Date of creation: Dec 2013
    Date of revision:
    Handle: RePEc:tri:wpaper:1317
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    Web page: http://www.trincoll.edu/Academics/MajorsAndMinors/Economics/Pages/default.aspx
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    1. Johansen, Soren, 1988. "Statistical analysis of cointegration vectors," Journal of Economic Dynamics and Control, Elsevier, vol. 12(2-3), pages 231-254.
    2. French, Kenneth R. & Schwert, G. William & Stambaugh, Robert F., 1987. "Expected stock returns and volatility," Journal of Financial Economics, Elsevier, vol. 19(1), pages 3-29, September.
    3. Engle, Robert F & Granger, Clive W J, 1987. "Co-integration and Error Correction: Representation, Estimation, and Testing," Econometrica, Econometric Society, vol. 55(2), pages 251-76, March.
    4. Cavaglia, Stefano & Verschoor, Willem F. C. & Wolff, Christian C. P., 1993. "Further evidence on exchange rate expectations," Journal of International Money and Finance, Elsevier, vol. 12(1), pages 78-98, February.
    5. Froot, Kenneth A & Frankel, Jeffrey A, 1989. "Forward Discount Bias: Is It an Exchange Risk Premium?," The Quarterly Journal of Economics, MIT Press, vol. 104(1), pages 139-61, February.
    6. Bilson, John F O, 1981. "The "Speculative Efficiency" Hypothesis," The Journal of Business, University of Chicago Press, vol. 54(3), pages 435-51, July.
    7. Chinn, Menzie & Frankel, Jeffrey, 1994. "Patterns in Exchange Rate Forecasts for Twenty-five Currencies," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 26(4), pages 759-70, November.
    8. Ole E. Barndorff-Nielsen & Shephard, 2002. "Econometric analysis of realized volatility and its use in estimating stochastic volatility models," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 64(2), pages 253-280.
    9. Johansen, Soren, 1991. "Estimation and Hypothesis Testing of Cointegration Vectors in Gaussian Vector Autoregressive Models," Econometrica, Econometric Society, vol. 59(6), pages 1551-80, November.
    10. Fama, Eugene F., 1984. "Forward and spot exchange rates," Journal of Monetary Economics, Elsevier, vol. 14(3), pages 319-338, November.
    11. Juselius, Katarina, 2006. "The Cointegrated VAR Model: Methodology and Applications," OUP Catalogue, Oxford University Press, number 9780199285679, March.
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