期刊文献+

金融动力学的时空关联与大波动特性——兼谈中西方金融市场的对比研究 被引量:3

Spatio-temporal correlations and large volatilities in financial dynamics
原文传递
导出
摘要 文章扼要地评述了金融物理学研究进展,介绍了文章作者在金融动力学时空关联方面的最新研究成果,特别关注中西方金融市场的对比研究.唯象理论研究表明,西方金融市场的价格收益率和波动率的时间关联显示杠杆效应,而中国金融市场则显示反杠杆效应;一种价格收益率和波动率的反馈相互作用可以解释杠杆和反杠杆效应的起源.西方金融市场的个体股票价格的交叉关联呈现标准的行业板块结构,而中国金融市场展示的是一种特殊的板块结构,如"ST板块"和"蓝筹板块"等.股票价格大波动可分为动力学内部产生的和外部事件诱导的两大类.金融动力学的时间反演不对称性,主要来源于外部事件诱导的大波动. We briefly review progress in econophysics, and report our recent results on spatio-temporal correlations and large volatilities in financial dynamics, with special emphasis on comparative studies of the western and Chinese stock markets. Our phenomenological analysis reveals that the return-volatility correlation of western markets shows the leverage effect, while that of the Chinese market exhibits anti-leverage effects; a feedback interaction between returns and volatilities may explain the origin of the leverage and anti-leverage effects. The cross-correlations between individual stocks in western markets display the structure of standard business sectors, while those of the Chinese market show unusual structures like the ST and blue-chip sectors. Large volatilities in financial dynamics may be classified into "exogenous" and "endogenous" events. The breakdown of time-reversal symmetry in financial dynamics is mainly attributed to "exogenous"events.
作者 郑波
机构地区 浙江大学物理系
出处 《物理》 CAS 北大核心 2010年第2期95-100,共6页 Physics
基金 国家自然科学基金(批准号:70371069) 浙江省自然科学基金(批准号:Z6090130)资助项目
关键词 金融物理 复杂系统 统计物理 交叉学科 econophysics, complex systems, statistical physics, interdiscipline
  • 相关文献

参考文献19

  • 1Mantegna R N, Stanley H E. Nature, 1995, 376:46,.
  • 2Mantegna R N, Stanley H E. Nature,1996,383:587.
  • 3Gopikrishnan P, Plerou V, Amaral L A N et al. Phys. Rev. E, 1999,60 : 5305.
  • 4Lux T, Marehesi M. Nature, 1999, 397 : 498.
  • 5Cont R, Bouchaud J P. Macroeeonomic Dyn. , 2000,4 :170.
  • 6Eguiluz M, Zimmerann M G. Phys. Rev. Lett. , 2000, 85:5659.
  • 7Zheng B, Qiu T, Ren F. Phys. Rev. E, 2004,69 : 046115.
  • 8Ren F, Zheng B, Qiu T et al. Phys. Rev. E, 2006,74 : 041111.
  • 9Plerou V, Gopikrishnan P, Rosenow B et al. Phys. Rex,. Lett. , 1999,83:1471.
  • 10Bouchaud J P, Matacz A, Potters M. Phys. Rev. Lett. , 2001, 87 : 228701.

同被引文献23

  • 1丁宁,王有贵.Power-Law Tail in the Chinese Wealth Distribution[J].Chinese Physics Letters,2007,24(8):2434-2436. 被引量:2
  • 2NENAD G, LJUBA B P. Ups and downs of economics and econophysics: Facebook forecast[J]. Physica A, 2013,392 (1) :208-214.
  • 3COTFAS L A. A finite-dimensional quantum model for the stock market[J]. Physica A, 2013,392(2) :371-380.
  • 4ZHANG Chao, HUANG Lu. A quantum model for the stock market[J]. Physica A,2010,389(24):5769-5775.
  • 5PODOBNIK B, HORVATIC D,PETERSEN A M,et al. Common scaling behavior in finance and macroeconomics[J]. The European Physical Journal B, 2010,76 (4) : 487-490.
  • 6FARMER J D,FOLEY D. The economy needs agent-based modelling[J]. Nature,2009,460:685-686.
  • 7DRAGULESCU A, YAKOVENKO V M. Statistical mechanics of money[J]. The European Physical Journal B, 2000,17 (4) : 723-729.
  • 8ANDERS J, OLIVIER L, DIDIER S. Crashes as critical points [J]. The International Journal of Theoretical and Applied Finance,2000,3(2) :219-255.
  • 9LUX T,MARCHESI M. Scaling and criticality in a stochastic multi-agent model of a financial market [J]. Nature, 1999,397:498-500.
  • 10李磊.需求价格弹性在商品定价策略中的应用[J].合作经济与科技,2009(17):112-113. 被引量:3

引证文献3

二级引证文献5

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