LI Yan, ZHUANG Xin-tian, YUAN Ying, TIAN Kun. Multi-fractal Characteristics of the Rebar and Wire Rod Markets: an SHFE-based Empirical Study[J]. Journal of Northeastern University Natural Science, 2015, 36(6): 903-908.
[1]Peters E E.Fractal market analysis:applying chaos theory to investment and economics[M].New York:John Wiley & Sons,1994. [2] Malevergne Y,Sornette D.Extreme financial risks:from dependence to risk management[M].New York:Springer,2006:124-132. [3]苑莹,杜乐鹿,庄新田.股市收益率与交易量长记忆性实证研究[J].东北大学学报:自然科学版,2012,33(7):1056-1064.(Yuan Ying,Du Le-lu,Zhuang Xin-tian.An empirical research on long-term memory of returns and trading volumes of stock markets in China[J].Journal of Northeastern University,2012,33(7):1056-1064.) [4]汪冬华,索园园.多重分形理论的大盘股和中小盘股差异性分析[J].管理学报,2012,9(7):1025-1031(Wang Dong-hua,Suo Yuan-yuan.A study on differences between large-cap-stock and small-cap-stock based on multifractal theory[J].Chinese Journal of Management,2012,9(7):1025-1031.) [5]Jose A R,Jesus A,Eduardo R.Short-term predictability of crude oil markets:a detrended fluctuation analysis approach [J].Energy Economics,2008,30:2645-2656. [6]Hiroaki K.Evidence of multi-affinity in the Japanese stock market[J].Physica A,2000,278:275-281. [7]Andreadis I,Serletis A.Evidence of a random multifractal turbulent structure in the Dow Jones industrial average[J].Chaos,Solitons and Fractals,2002,13(6):1309-1315. [8]Yuan Y,Zhuang X T,Liu Z Y,et al.Analysis of the temporal properties of price shock sequences in crude oil markets[J].Physica A:Statistical Mechanics and Its Application,2014,394:235-246. [9]Yuan Y,Zhuang X T,Jin X,et al.Stable distribution and long-range correlation of Brent crude oil market[J].Physica A:Statistical Mechanics and Its Application,2014,413:173-179. [10]Lo W.Long-term memory in stock market prices[J].Econometrica,1991,59(5)1279-1313.