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Stochastic LQ control framework and its application in finance as the stock price follows the jump-diffusion process

LIU Xuan-hui1;HU En-jian2;HOU Jian-rong3

  

  1. (1. School of Economics and Management, Xidian Univ., Xi’an 710071, China;
    2. Auditing Office, Twenty Group of China Railway, Xianyang 712000, China;
    3. School of An Tai Management, Shanghai Jiaotong Univ., Shanghai 200052, China)
  • Received:1900-01-01 Revised:1900-01-01 Online:2004-04-20 Published:2004-04-20

Abstract: In the continuous time finance model the stock price valiatility is deemed the Brownian motion. However in teh real world as the significant information occurs, a discontinuous jump will occur in the stock price. This paper extends the classical stochastic LQ control to the jump-diffusion model. With the jump-diffusion stochastic Riccati equation introduced, the optimal feedback control can be obtained. With its application in hedging strategy and the Mean-Variance model, we obtain the optimal bedging strategy and the optimal portfolio strategy.

Key words: stochastic Linear-Quadric control, jump-diffusion process, hedging, portfolio

CLC Number: 

  • F830.9