期刊文献+

DYNAMIC PORTFOLIO CHOICE UNDER THE TIME-VARYING,JUMPS,AND KNIGHT UNCERTAINTY OF ASSET RETURN PROCESS 被引量:4

DYNAMIC PORTFOLIO CHOICE UNDER THE TIME-VARYING,JUMPS,AND KNIGHT UNCERTAINTY OF ASSET RETURN PROCESS
原文传递
导出
摘要 由把一个随机的元素介绍给双 jump 散开框架测量财产回来过程的骑士无常,这份报纸造动态公事包选择的模型,它最大化终端公事包财富的期望的实用程序。通过指定无常厌恶的州的功能,导出模型的分析答案学习效果利用 max-min 方法变化时间,跳,并且动态公事包选择和他们的相互作用上的财产回来过程的耐特无常。比较分析的结果出现:在公事包的积极或否定的 intertemporal hedging 需求的变化时间的结果,它取决于投资者的系数冒险在回来移动和轻快移动之间的厌恶和关联系数;在财产回来外套还原剂投资者的 jumps 为危险财产要求,它能被 jumps 在轻快提高或变弱;由于耐特无常存在,投资者避免在危险财产上拿大位置,并且结果是改善稳定的公事包和免疫。最后,实验研究从 1997 年 1 月基于上海交换复合指数每月的回来数据的样品被做到 2009 年 12 月,它不仅测试理论分析而且证明在纸的建议方法从公事包等价物用途的方面是有用的。 By introducing a stochastic element to the double-jump diffusion framework to measure the Knight uncertainty of asset return process, this paper builds the model of dynamic portfolio choice, which maximizes the expected utility of terminal portfolio wealth. Through specifying the state function of uncertainty-aversion, it utilizes the max-min method to derive the analytical solution of the model to study the effect of the time-varying, jumps, and Knight uncertainty of asset return process on dynamic portfolio choice and their interactions. Results of comparative analysis show: The time-varying results in positive or negative intertemporal hedging demand of portfolio, which depends on the coefficient of investor's risk aversion and the correlation coefficient between return shift and volatility shift; the jumps in asset return overall reduce investor's demand for the risky asset, which can be enhanced or weakened by the jumps in volatility; due to the existing of the Knight uncertainty, the investor avoids taking large position on risky asset, and the resulting is the improving of portfolio's steady and immunity. At last, an empirical study is done based on the samples of Shanghai Exchange Composite Index monthly return data from January 1997 to December 2009, which not only tests the theoretical analysis but also demonstrates that the proposed method in the paper is useful from the aspect of portfotio's equivalent utility.
出处 《Journal of Systems Science & Complexity》 SCIE EI CSCD 2012年第5期896-908,共13页 系统科学与复杂性学报(英文版)
基金 supported by National Natural Science Foundation of China under Grant Nos.71271003 and 71171003 Programming Fund Project of the Humanities and Social Sciences Research of the Ministry of Education of China under Grant No.12YJA790041 Natural Science Foundation of Anhui Province under Grant No.1208085MG116 Key Program of Natural Science Research of High Education of Anhui Province of China under Grant No.KJ2011A031
关键词 投资组合选择 资产组合 不确定性 时间变化 跳跃 骑士 需求风险 模型框架 Conditional characteristic function, dynamic portfolio, jumps, Knight uncertainty, spec-tral generalized method of moments, time-varying.
  • 相关文献

参考文献5

二级参考文献81

  • 1卢方元.中国股市收益率分布特征研究[J].中国管理科学,2004,12(6):18-22. 被引量:22
  • 2方毅,张屹山.跟踪误差下积极资产组合投资的风险约束机制[J].中国管理科学,2006,14(4):19-24. 被引量:9
  • 3Merton R C. Optimum consumption and portfolio rules in a continuous-time model[J]. Journal of Economic Theory, 1971, 3(4) : 373-413.
  • 4Kim T S, Omberg E. Dynamic nonmyopic portfolio behavior[J]. Review of Financial Studies, 1996, 9( 1 ) : 141-161.
  • 5Brennan M. The role of learning in dynamic portfolio decisions[J]. European Finance Review, 1998, 1: 295-306.
  • 6Xia Y. Learning about predictability: The effects of parameter uncertainty on dynamic asset allocation [J]. Journal of Finance, 2001, 56( 1 ): 205-246.
  • 7Wachter J A. Portfolio and consumption decisions under mean-reverting returns: An exact solution for complete markets [J]. Journal of Financial and Quantitative Analysis, 2002, 37 (1) : 63-91.
  • 8Sangvinatsos A, Wachter J A. Does the failure of the expectations hypothesis matter for long-term investors? [J]. Journal of Finance, 2005, 60( 1 ) : 179--230.
  • 9Chacko G, Viceira L M. Dynamic consumption and portfolio choice with stochastic volatility in incomplete markets [J]. Review of Financial Studies, 2005, 18(4): 1369-1402.
  • 10Han Y F. Asset allocation with a high dimensional latent factor stochastic volatility model[J]. Review of Financial Studies, 2006, 19(1) : 237-271.

共引文献30

同被引文献9

引证文献4

二级引证文献20

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部