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Explaining the equity premium in Hong Kong with C-CAPM: The use of emigration growth as an instrument

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  • Tam, Henry
  • Lai, Liona

Abstract

We test the C-CAPM with CRRA utility using Hong Kong data. In 2SLS regressions, we obtain rather high estimates of the coefficient of relative risk aversion, which could explain the high equity premium in Hong Kong. Because we use lagged emigration growth as an instrument in the first-stage regression, which has significant negative impact on future stock market return in Hong Kong, the first-stage R2 and F-statistics are rather high and the weak instrument critique of the validity of 2SLS regressions is potentially resolved. Weak-instrument-robust tests also confirm that the degree of risk aversion is indeed high for Hong Kong.

Suggested Citation

  • Tam, Henry & Lai, Liona, 2009. "Explaining the equity premium in Hong Kong with C-CAPM: The use of emigration growth as an instrument," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 19(3), pages 520-533, July.
  • Handle: RePEc:eee:intfin:v:19:y:2009:i:3:p:520-533
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    References listed on IDEAS

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    1. Kim, Harold Y. & Mei, Jianping P., 2001. "What makes the stock market jump? An analysis of political risk on Hong Kong stock returns," Journal of International Money and Finance, Elsevier, vol. 20(7), pages 1003-1016, December.
    2. Mehra, Rajnish & Prescott, Edward C., 1985. "The equity premium: A puzzle," Journal of Monetary Economics, Elsevier, vol. 15(2), pages 145-161, March.
    3. Motohiro Yogo, 2004. "Estimating the Elasticity of Intertemporal Substitution When Instruments Are Weak," The Review of Economics and Statistics, MIT Press, vol. 86(3), pages 797-810, August.
    4. Nelson, Charles R & Startz, Richard, 1990. "The Distribution of the Instrumental Variables Estimator and Its t-Ratio When the Instrument Is a Poor One," The Journal of Business, University of Chicago Press, vol. 63(1), pages 125-140, January.
    5. Hansen, Lars Peter & Singleton, Kenneth J, 1983. "Stochastic Consumption, Risk Aversion, and the Temporal Behavior of Asset Returns," Journal of Political Economy, University of Chicago Press, vol. 91(2), pages 249-265, April.
    6. Moreira, Marcelo J., 2009. "Tests with correct size when instruments can be arbitrarily weak," Journal of Econometrics, Elsevier, vol. 152(2), pages 131-140, October.
    7. Nelson, Charles R & Startz, Richard, 1990. "Some Further Results on the Exact Small Sample Properties of the Instrumental Variable Estimator," Econometrica, Econometric Society, vol. 58(4), pages 967-976, July.
    8. Barro, Robert J, 1990. "The Stock Market and Investment," Review of Financial Studies, Society for Financial Studies, vol. 3(1), pages 115-131.
    9. Campbell, John Y., 1999. "Asset prices, consumption, and the business cycle," Handbook of Macroeconomics,in: J. B. Taylor & M. Woodford (ed.), Handbook of Macroeconomics, edition 1, volume 1, chapter 19, pages 1231-1303 Elsevier.
    10. Cashin, Paul & McDermott, C John, 1998. "Testing the Consumption-CAPM in Developing Equity Markets," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 3(2), pages 127-141, April.
    11. Fama, Eugene F, 1990. " Stock Returns, Expected Returns, and Real Activity," Journal of Finance, American Finance Association, vol. 45(4), pages 1089-1108, September.
    12. James H. Stock & Motohiro Yogo, 2002. "Testing for Weak Instruments in Linear IV Regression," NBER Technical Working Papers 0284, National Bureau of Economic Research, Inc.
    13. Douglas Staiger & James H. Stock, 1997. "Instrumental Variables Regression with Weak Instruments," Econometrica, Econometric Society, vol. 65(3), pages 557-586, May.
    14. Kandel, Shmuel & Stambaugh, Robert F., 1991. "Asset returns and intertemporal preferences," Journal of Monetary Economics, Elsevier, vol. 27(1), pages 39-71, February.
    15. Hall, Robert E, 1988. "Intertemporal Substitution in Consumption," Journal of Political Economy, University of Chicago Press, vol. 96(2), pages 339-357, April.
    16. Frank Kleibergen, 2002. "Pivotal Statistics for Testing Structural Parameters in Instrumental Variables Regression," Econometrica, Econometric Society, vol. 70(5), pages 1781-1803, September.
    17. Stock, James H & Wright, Jonathan H & Yogo, Motohiro, 2002. "A Survey of Weak Instruments and Weak Identification in Generalized Method of Moments," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(4), pages 518-529, October.
    18. Neely, Christopher J & Roy, Amlan & Whiteman, Charles H, 2001. "Risk Aversion versus Intertemporal Substitution: A Case Study of Identification Failure in the Intertemporal Consumption Capital Asset Pricing Model," Journal of Business & Economic Statistics, American Statistical Association, vol. 19(4), pages 395-403, October.
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