期刊文献+

基于动态规划原理的平方套期保值策略研究

Research on Quadratic Hedging Based on Dynamic Programming
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摘要 在自融资约束下研究了标的资产价格服从跳扩散过程时欧式未定权益的平方套期保值问题。假定套期保值者用与未定权益相关的风险资产和另一种无风险资产来进行套期保值,利用动态规划原理,得到了离散时间集上均方最优套期保值策略的显式解。文章最后通过对比分析不同期限、不同策略调整频率的欧式看涨期权的套期保值结果表明:(1)对冲头寸与期限具有相依关系,期限越长,头寸比例通常也高;(2)对冲头寸与标的资产价格呈同向变化,标的资产价格越高,可以持有的头寸比例也高;(3)对冲头寸与交割价格呈反向变化,交割价格越高,可以适当降低头寸比例。 Under the constraint of self-financing,this paper assumes that the underlying price obeys a jump-diffusion process and studies the quadratic hedging for European style contingent claims.During the hedging horizon,by using dynamic programming method,we first get the explicit expression of hedging strategies,which can minimize the terminal risk.Then,by comparison of all hedging results under different settings,the dependent relationship between the hedging position and the hedging horizon,the direct proportion relationship between the hedging position and the underlying asset's price,the inverse proportion relationship between the hedging position and the exercise price are acquired.
出处 《运筹与管理》 CSCD 北大核心 2011年第5期135-142,共8页 Operations Research and Management Science
基金 上海市重点学科建设资助项目(S30501) 上海市哲学社会科学规划项目(2009BJ001)
关键词 未定权益 动态规划 套期保值 平方标准 跳扩散过程 contingent claim dynamic programming hedgingl quadratic criteria jump-diffusion process
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参考文献15

  • 1Schweizer M. Variance-optimal hedging in discrete time[ J]. Mathematics of Operations Research, 1995, 20 ( 1 ) : 1-32.
  • 2Andrew LIME B. Quadratic hedging and mean-variance portfolio selection with random parameters in an incomplete market [ J]. Mathematics of Operations Research, 2004, 29( 1 ) : 132-161.
  • 3Andrew LIME B. Mean-variance hedging when there are jumps[ J]. SIAM Journal on Control and Optimization, 2005, 44 (5) : 1893-1922.
  • 4刘宣会,徐成贤,胡奇英.股票价格服从跳跃-扩散过程套期保值问题的随机LQ框架[J].工程数学学报,2005,22(2):333-338. 被引量:2
  • 5Ales Cerny. Dynamic programming and mean-variance hedging in discrete time[ J]. Applied Mathematical Finance, 2004, 11 (1) : 1-25.
  • 6Gugushvili S. Dynamic programming and mean-variance hedging in discrete time[ J]. Georgian Mathematical Journal, 2003, 10(2) : 237-246.
  • 7Darrell Duffle, Henry Richardson R. Mean-variance hedging in continuous time[J]. The Annals of Probability, 1991, 1 ( 1 ) : 1-15.
  • 8Laurent J P, Pham H. Dynamic programming and mean-variance hedging[ J]. Finance Stochast, 1999, (3) : 83-110.
  • 9Potters M, Bouchaud J P, Sestovic D. Hedged monte-carlo: low variance derivative pricing with objective probabilities[ J]. Physica A: Statistical Mechanics and its Applications 2001,289 (3-4) : 517-525, Elsevier.
  • 10Michael Johannes, Nicholas Polson. MCMC Methods for Continuous-Time Financial Econometrics, Handbook of Financial Econometrics, 2006, Elsevier.

二级参考文献26

  • 1唐小我,曾勇.最小风险外汇套期保值率的确定方法[J].预测,1995,14(4):45-46. 被引量:1
  • 2郑明川.最小风险套期保值比率方法[J].系统工程理论与实践,1997,17(6):132-134. 被引量:19
  • 3Merton R C. Option pricing when underlying stock returns are discontinuous[J]. Journal of Economics,1976, (3) : 123- 141.
  • 4Scott L O. Pricing stock options in a jump-diffusion model with stochastic volatility and interest rates:applications of Fourier inversion methods[J]. Journal of Mathematical Finance, 1997, (4) : 413- 426.
  • 5David S Bates. Jumps and stochastic volatility: exchange rate processes implicit in deutsche mark options [J]. The Review of Financial Studies, 1996,(1):69-107.
  • 6Johnson L L. The theory of hedging and speculation in commodity futures[J]. Review of Economic Studies, 1960,27:139-151.
  • 7Ederington L. The hedging performance of the new futures markets [J]. Journal of Finance, 1979,34:157-170.
  • 8Breeden D T. Futures markets and commodity options: hedging and optimality in incomplete markets[J]. Journal of Economic Theory, 1984, 32:275 -300.
  • 9Ho T S Y. Intertemporal commodity futures hedging and the production decision[J]. Journal of Finance,1984,34:351-376.
  • 10Stulz R M. Optimum hedging policies [J]. Journal of Financial and Quantitative Analysis, 1984,19 : 127-140.

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