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Asset Pricing with Idiosyncratic Shocks

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  • Srisuksai, Pithak
  • Vanitcharearntham, Vimut

Abstract

This study shows the relationship between idiosyncratic shocks and expected returns on stock regarding theoretical and empirical results. The dynamic stochastic general equilibrium is derived from idiosyncratic stochastic productivity level in production function of heterogenous firms to come up with a new asset pricing model. Given any state S, the main finding states that expected stock returns depends on the rate of time preference, depreciation rate, capital share, expected idiosyncratic productivity level at time t + 1, the percentage deviation of capital from steady state at time t + 1, and the percentage deviation of labor from steady state at time t + 1, In fact, expected idiosyncratic productivity level, expected capital, and expected labor are the determinant factors that affect on expected stock returns. Eventually, expected idiosyncratic stochastic productivity level is positively related to expected stock returns similar to expected labor. In contrast, expected capital has a negative effect on expected stock returns

Suggested Citation

  • Srisuksai, Pithak & Vanitcharearntham, Vimut, . "Asset Pricing with Idiosyncratic Shocks," Asian Journal of Applied Economics, Kasetsart University, Center for Applied Economics Research, vol. 23(1).
    • Handle: RePEc:ags:thkase:338456
    DOI: 10.22004/ag.econ.338456
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    References listed on IDEAS

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    1. Mehra, Rajnish & Prescott, Edward C., 1985. "The equity premium: A puzzle," Journal of Monetary Economics, Elsevier, vol. 15(2), pages 145-161, March.
    2. Cochrane, John H, 1991. "Production-Based Asset Pricing and the Link between Stock Returns and Economic Fluctuations," Journal of Finance, American Finance Association, vol. 46(1), pages 209-237, March.
    3. Constantinides, George M & Duffie, Darrell, 1996. "Asset Pricing with Heterogeneous Consumers," Journal of Political Economy, University of Chicago Press, vol. 104(2), pages 219-240, April.
    4. Breeden, Douglas T., 1979. "An intertemporal asset pricing model with stochastic consumption and investment opportunities," Journal of Financial Economics, Elsevier, vol. 7(3), pages 265-296, September.
    5. Jermann, Urban J., 2010. "The equity premium implied by production," Journal of Financial Economics, Elsevier, vol. 98(2), pages 279-296, November.
    6. Pithak Srisuksai, 2012. "Idiosyncratic Volatility and Expected Stock Returns: Evidence from Thailand," Applied Economics Journal, Kasetsart University, Faculty of Economics, Center for Applied Economic Research, vol. 19(2), pages 66-89, December.
    7. John Y. Campbell & Martin Lettau & Burton G. Malkiel & Yexiao Xu, 2001. "Have Individual Stocks Become More Volatile? An Empirical Exploration of Idiosyncratic Risk," Journal of Finance, American Finance Association, vol. 56(1), pages 1-43, February.
    8. Fama, Eugene F & MacBeth, James D, 1973. "Risk, Return, and Equilibrium: Empirical Tests," Journal of Political Economy, University of Chicago Press, vol. 81(3), pages 607-636, May-June.
    9. Fernando Alvarez & Urban J. Jermann, 2000. "Efficiency, Equilibrium, and Asset Pricing with Risk of Default," Econometrica, Econometric Society, vol. 68(4), pages 775-798, July.
    10. Ang, Andrew & Hodrick, Robert J. & Xing, Yuhang & Zhang, Xiaoyan, 2009. "High idiosyncratic volatility and low returns: International and further U.S. evidence," Journal of Financial Economics, Elsevier, vol. 91(1), pages 1-23, January.
    11. Campbell, John Y., 1994. "Inspecting the mechanism: An analytical approach to the stochastic growth model," Journal of Monetary Economics, Elsevier, vol. 33(3), pages 463-506, June.
    12. Lucas, Robert E, Jr, 1978. "Asset Prices in an Exchange Economy," Econometrica, Econometric Society, vol. 46(6), pages 1429-1445, November.
    13. Fu, Fangjian, 2009. "Idiosyncratic risk and the cross-section of expected stock returns," Journal of Financial Economics, Elsevier, vol. 91(1), pages 24-37, January.
    14. Andrew Ang & Robert J. Hodrick & Yuhang Xing & Xiaoyan Zhang, 2006. "The Cross‐Section of Volatility and Expected Returns," Journal of Finance, American Finance Association, vol. 61(1), pages 259-299, February.
    15. Grishchenko, Olesya V., 2011. "Asset pricing in the production economy subject to monetary shocks," Journal of Economics and Business, Elsevier, vol. 63(3), pages 187-216, May.
    16. William F. Sharpe, 1964. "Capital Asset Prices: A Theory Of Market Equilibrium Under Conditions Of Risk," Journal of Finance, American Finance Association, vol. 19(3), pages 425-442, September.
    17. Laura Xiaolei Liu & Toni M. Whited & Lu Zhang, 2009. "Investment-Based Expected Stock Returns," Journal of Political Economy, University of Chicago Press, vol. 117(6), pages 1105-1139, December.
    18. Jermann, Urban J., 1998. "Asset pricing in production economies," Journal of Monetary Economics, Elsevier, vol. 41(2), pages 257-275, April.
    19. Balvers, Ronald J. & Huang, Dayong, 2007. "Productivity-based asset pricing: Theory and evidence," Journal of Financial Economics, Elsevier, vol. 86(2), pages 405-445, November.
    20. Merton, Robert C, 1987. "A Simple Model of Capital Market Equilibrium with Incomplete Information," Journal of Finance, American Finance Association, vol. 42(3), pages 483-510, July.
    21. Belo, Frederico, 2010. "Production-based measures of risk for asset pricing," Journal of Monetary Economics, Elsevier, vol. 57(2), pages 146-163, March.
    22. Storesletten, Kjetil & Telmer, Chris I. & Yaron, Amir, 2001. "The welfare cost of business cycles revisited: Finite lives and cyclical variation in idiosyncratic risk," European Economic Review, Elsevier, vol. 45(7), pages 1311-1339.
    23. Cochrane, John H, 1996. "A Cross-Sectional Test of an Investment-Based Asset Pricing Model," Journal of Political Economy, University of Chicago Press, vol. 104(3), pages 572-621, June.
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