• DocumentCode
    536269
  • Title

    Dynamic portfolio choice: Time-varying and jumps

  • Author

    Chao-Lin, He

  • Author_Institution
    Sch. of Manage. Eng., Anhui Polytech. Univ., Wuhu, China
  • Volume
    1
  • fYear
    2010
  • fDate
    29-31 Oct. 2010
  • Firstpage
    507
  • Lastpage
    511
  • Abstract
    Assuming that the risky asset return follows stochastic j ump-diffusion model, this paper studies the effect of the time-varying and jumps of return process on dynamic portfolio choice, and discusses their characteristics in Chinese stock market. It applies stochastic control theory to obtain the analytical solution of dynamic portfolio choice, which maximizes the expected power utility of portfolio terminal wealth, and utilizes the Spectral Generalized Method of Moments (SGMM) to estimate model parameters to do an empirical study based on the monthly data of Shanghai Exchange Composite Index from 1997.01-2008.12. Results show, the time-varying results in the positive or negative intertemporal hedging demand, which depends on the degree of investor´s risk-aversion and the correlation coefficient between the shift of risky asset return and that of risk premium; the jumps also results in positive or negative jump hedging demand, but overall reduces the position on risky asset; as for the stock market in China, the effect of jumps is greater than that of the time-varying, and their horizon effect is very weak.
  • Keywords
    correlation methods; investment; method of moments; stochastic systems; stock markets; Chinese stock market; Shanghai exchange composite index; correlation coefficient; dynamic portfolio choice; intertemporal hedging demand; investor risk aversion; risky asset return; spectral generalized method of moment; stochastic control theory; stochastic jump diffusion model; time varying return; Analytical models; Educational institutions; SGMM; dynamic portfolio; jumps; time-varying;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Computing and Intelligent Systems (ICIS), 2010 IEEE International Conference on
  • Conference_Location
    Xiamen
  • Print_ISBN
    978-1-4244-6582-8
  • Type

    conf

  • DOI
    10.1109/ICICISYS.2010.5658533
  • Filename
    5658533