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我国铜企业战略套期保值研究
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摘要
2000年以后,随着国际宏观经济环境的急剧变化,国际铜价呈现出波动频率与幅度成倍增加的新特征。面对如此剧烈的价格波动,我国铜企业难以用以过去常规性的套期保值方法规避,很多铜企业生产经营陷入困境,有的甚至被破产兼并。为此,学术界有必要提出新的套期保值思路及方法解决我国铜企业所面临的这一新的问题。基于此背景,中国农业大学常清教授率先提出了基于经济周期的套期保值理论,并称其为战略套期保值。
     本文以我国铜企业为例,以铜价与经济周期关系为核心,通过理论和实证研究,深入分析了铜价与经济周期之间的内在运行规律,从而全面系统地完善了战略套期保值理论,印证了战略套期保值理论的合理性和可行性。在内容上,本文首先对我国铜企业套期保值现状进行了分析,指出战略套期保值的必要性、重要性,并界定了战略套期保值的概念,对其内涵及理论依据进行了深入分析,提出了战略套期保值必须建立在实证上能够验证铜价与经济周期确实存在显著相关性这一核心命题。随后,在系统梳理铜价影响因素的基础上,围绕核心命题,从显著性、时滞关系、同步性等三个维度对铜价与世界经济周期的相关性进行了实证分析。实证结果表明,尽管世界经济周期与铜价之间存在着显著的相关性且在时滞关系上存在经济周期先于铜价变化的特征,但它们的同步性并不稳定,且呈现逐步弱化的趋势。这主要是世界经济结构正在发生显著变化,中国经济一跃成为影响铜需求的决定因素,反映世界经济周期的OECD全球领先指数已经不能很好地解释铜需求及其铜价的变化,从而导致世界经济周期与铜价同步性逐步弱化的现实。
     同时,本文用相同的维度和实证方法对中国经济周期与铜价的关系进行了实证分析。结果显示,中国经济周期在显著性、时滞关系、同步性上都优于世界经济周期。特别是在同步性上,中国经济周期与铜价的同步性非常好,明显优于世界经济周期。这说明中国经济周期较世界经济周期对铜价具有更强的指示意义。此外,本文还进一步用状态空间时变模型验证了中国经济周期对铜价影响日益增强的经济现实。这些实证结论为我国铜企业基于中国经济周期开展战略套期保值提供了扎实的理论及实证基础。
     最后,本文对上游、中游、下游三类铜企业战略套期保值的适用性问题进行了分析,并利用现有基本套期保值工具构建了相应的战略套期保值基本策略,对战略套期保值绩效进行了回溯分析。回溯检验结果表明,相对于非战略套期保值策略,战略套期保值策略能够取得明显超额绩效。
     本文研究创新主要体现两个方面。一是在理论和实证两个层面首次全面系统地分析了战略套期保值的合理性和可行性,是对战略套期保值理论的一次重要完善和发展;二是在实证层面较全面分析了世界经济及中国经济与铜价的关系,得出中国经济周期影响铜价的程度正在逐渐增强的结论,从而说明我国铜企业基于中国经济周期进行战略套期保值是合理的、可行的和可靠性的,这是本文的一个特色。
The copper price features increasingly frequent fluctuation and margin multiplied as the international macroeconomic environment has changed dramatically since2000. Copper enterprises in China cannot cope with the dramatic impact on the operational environment any longer with normal hedging method. Many such enterprises have faced with operation difficulties, and some of them even have been bankrupted or acquired. Therefore, a new hedging principle should be put forward to solve this problem. Under this background, Professor Qing Chang has put forward a hedging theory based on the economic cycle which is referred to as strategic hedging.
     Take the copper enterprises in China as an example, this thesis take the correlation between the copper price and the economic cycle as a core, and the internal operation rule between the copper price and the economic cycle is deeply researched through theoretical and empirical research to master the strategic hedging theory systematically, and verified the reasonability and feasibility of strategic hedging theory. In the content, firstly, the thesis analyzes the current situation on hedging of copper enterprises in China, points out the necessity and importance for strategic hedging, puts forward the concept of strategic hedging, deeply analyzes its connotation and theoretical basis, and also puts forward the core proposition that remarkable correlation between the copper price and the economic cycle has been verified in terms of actual evidence. Secondly, correlation between the copper price and the world economic cycle has been analyzed with actual evidences from three dimensions of significance, time-lag relation and synchronism, based on factors affecting the copper price. The empirical results show that there is instable synchronization between the world economic cycle and the copper price, with a gradual weakening trend, although copper is an international commodity. This mainly caused by significant changes on the world economic structure that Chinese economy has become the determinant affecting the copper demand, while the OECD global leading indicators which used to reflect the world economic cycle cannot well explain the change of copper demand and copper price. This also explains the weakened synchronization between the world economic cycle and the copper price.
     Meanwhile, to verify the preceding analysis conclusions and the reasonability of adopting strategic hedging based on Chinese economic cycle, the thesis also analyzes the relationship between Chinese economic cycle and the copper price with the same methods and dimensions. It is proved that Chinese economic cycle is prior to the world economic cycle in terms of significance, time lag relationship, and synchronization. That is to say, Chinese economic cycle is more significant than the world economic cycle in affecting the copper price. Besides, the increasingly enhanced impact of Chinese economic cycle on the copper price has been verified through the state-space time-varying model in this thesis. These results from empirical research provides solid theoretical and empirical basis for the strategy hedging in copper enterprises in China based on Chinese economic cycle.
     Finally, the thesis analyzes feasibility of strategic hedging for upstream, midstream, and downstream copper enterprises, constructs corresponding strategic hedging strategy using the existing basic hedging tool, and contains retrospective analysis on performance of strategic hedging. The retrospective verification result shows that strategic hedging, comparing with non-strategic hedging, brings much more outstanding performance for copper enterprises in China.
     Innovation of this research includes the following two aspects:1) This thesis analyze the rationale and feasibility of strategic hedging comprehensively and systematically from both theoretical level and empirical level.2) This thesis comprehensively analyzes the relationship between the copper price and the world economy and even Chinese economy, with a conclusion that the impact of Chinese economic cycle on the copper price gradually increased. Therefore, the strategic hedging based on Chinese economic cycle for copper enterprises in China is reasonable, feasible, and reliable.
引文
2 资料来源:《矿产资源可持续供应问题及对策》,2003。
    [1]Achouchb A, Terrazab M. Metal prices and the business cycle [J]. Resources Policy. 1999(25):229-238.
    [2]Arago V, Izquierdo A F. Optimal hedging and the investment horizon length:the decomposition model [J]. Derivatives Use, Trading & Regulation.2001,7(1):23-36.
    [3]Avramov D. Stock return predictabiliy and asset pricing models, the Review of Financial StudiesfJ]. 2004(17):699-738.
    [4]Ben J, Nuttawat V. Sector rotation across the business cycles[M]. AvailableatSSRN.2009.
    [5]Benet B A. Hedge Period length and exante futures hedging effectiveness:The case of foreign-exehange risk cross hedges. Journal of Futures Markets.1992(12):163-175.
    [6]Borensztein E, Reinhart C M. The macroeconomic determinants of commodity prices. IMF Staff Papers [J].1994(41):236-258.
    [7]Brown S L. The reformulation of the portfolio model of hedgin [J].American Jounal of Agricultural Economies.1985,67(3):508.
    [8]Chambers R G, Quiggin J. Separation and hedging results with state-contingent production[J]. Eeonomica.1997,64(254):187-209.
    [9]Chen N. R Roll. Ross,. Economics forces and the stock market[J]. Journal of Business, 1986(59):383-403.
    [10]Deaton A, Guy L. On the behavior of commodity price[J]. Review of Economic Studies. 1992(59):1-23.
    [I1]Davidson R, W C Labys, J B Lesourd. Wavelet analysis of commodity price behavior[J]. Computional Economics,1997(11):103-128.
    [12]Donald R L. International portfolio diversification:a Multivariate analysis for a Group of latin American countries[J]. Journal of Finance.1973(28):619-633.
    [13]Dwight R, Sanders, Keith Boris. An analysis of the CFTC's Commitments of traders reports[J]. Energy Economics.2004(26):425-445.
    [14]Ederington L H. The hedging performance of the new futures markets.Journal of Finance. 1979(34):157-170.
    [15]Ederington L H, Salas J M. Minimum variance hedging when spot price changes are partially predictable[J]. Journal of Banking & Finance.2008,32(5):654-663.
    [16]Elton, Edwin J, Martin J. The peorfmrance of publicly offred commodity funds.Financial Analysis Journal.1990(8):23-30.
    [17]Fama E F, French K R. Business cycles and the behavior of Metal price[J]. Journal of Finance, 1988(42):1075-1088.
    [18]Fama E F, French K R. The cross-section of expected stock return[J]. Jounal of Finance. 1992(47):427-465.
    [19]Feder G, Just R E, Schmitz A. Futures markets and the theory of the firm under price uncertainty[J]. Quarterly Jounal of Economies.1980,94(2):317-328.
    [20]Gecchetti S G, Cumby R E, Figlewski S. Estimation of the optimal futures hedge. Review ofEconomics and Statistics.1988,70(4):623-630.
    [21]Garner, Alan C. Commodity prices:policy target or Informa Snon Variable?[J] Journal of Money, Credit, and Banking.1989(21):508-514.
    [22]Granger C W, Newbold P. Spurious regressions in econometrics[J]. Journal of Econometrics.1974, 2(2):111-120.
    [23]Harvey A, Jaeger A. Detrending, stylized facts and the business cycle[J]. Journal of Applied Econometrics,1993(8).
    [24]Hill, J. Schneeweis T. The hedging effectiveness of currency futures[J]. The Journal of Financial Researeh.1982, V(1):95-104.
    [25]Holmes P. Ex ante hedge ratios and the hedging effectiveness of the FTSE100 stoek Index futurescontracts. Applied Economic Letters.1995(2):56-59.
    [26]Howard C T, D'antonio L J. A risk-return measure of hedging effcetiveness[J]. Journal of Financial and Quantitative Analysis.1984(19):101-112.
    [27]Hua, Ping. On primary commodity prices:the Impcet of macroeconomic monetary shoke[J]. Journal of Policy Modeling.1998(20):767-790.
    [29]Jacob B, Matthew R, Robert F W. Industry returns and the fisher effect[J]. the Journal of Finance. 1994(49):1595-1615.
    [30]Joe B, Steve Steed. Optimal asset allocation over the business cycle[J]. The Financial Review. 1998(33):129-148.
    [31]Johnson L.The theory of hedging and speculation in commodity futures[J]. Review of Economic Studies.1960,27(72):139-151.
    [32]Johnson L. Walther C H. New evidence of the effectiveness of portfolio hedges in currency forward markets[J]. Management International Review.1984,24(2):15-23.
    [33]Kaldor N. The role of prices in economic recovery[J]. World Development.1987(15):645-656.
    [34]Kewei H. Industry information diffusion and the lead-lag effecction in stock returns[J], the Review of Financial Studies.2007(20):1113-1138.
    [35]Kroner K F, Sultan J. Time-Varying distribution and dynamic hedging with foreign currency futures[J]. Journal of Financial and Quantitative Analysis.1993(28):535-551.
    [36]Kwiatkowski, D. Phillips, P. Sehmidt, P. Testing the null hypothesis of stationarity against the alternative of a unit root[J]. Journal of Economies.1992(54):59-178.
    [37]Lien D. Tse Y K.Some recent developments in futures hedging[J].Journal of Economic Surveys. 2002,16(3):357-396.
    [38]Lucas R E. Understanding business cycles, stabilization of the domestic and international economy[J]. Carnegie-Rochester Series on Public Policy.1977(5):7-29.
    [39]Mandelbrot. Statistical methodology for non-periodic cycles[J]. Journal of Economics and Social Measurement.1972(11):259-290.
    [40]Michael D. Stock returns and the business cycle. The Financial Review.2004(39):527-547.
    [41]Mitehell C, Gerald R, Robert R J, Jeffrey M. Sector rotation and monetary conditions [J]. The Journal of Investing.2008(17):34-46.
    [42]Morrison H. The M-C progress in business cycle [J]. Economic Inquiry,1999(13):203-219
    [43]Park G. The role of detrending methods in a model of real business cycles[J]. Journal of Macroeconomics,1996(18):479-501.
    [44]Paroush J, Wolf A. Production and hedging decisions in the presence of basis risk [J]. Journal of Futures Markets.1989,9(6):547-563.
    [45]Rolfo J. Optimal hedging under price and quantity uncertainty:the case of a cocoa producer [J]. Jounal of Political Economy.1980,88(1):100-116.
    [46]Rosen D H, T Houser. China energy:a guide for the perplexed [C]. Peterson Institute for International Economics.2007.5.
    [47]Phillips P Y, Fuller W.Testing for a unit root in time series regression [J].Biometrika. 1988(75):335-346.
    [48]Sergio L,David M, Patricio J. China,precios de commodities y desempeno de America Iatian: algunos hechos estilizados[J]. Cuaderno de economia.2009(46):67-10.
    [49]Sichel D E. Business cycle asymmetry? a deeper look[J]. Economic Inquiry.1993(31):224-236.
    [50]Stefano C, Christopher B, Michael A. The increasing importance of industry factors. Financial Analysis Journal.2000(56):41-54.
    [51]Stephen L M. A re-examination of market and industry factors in stock price behavior[J]. Jounal of Finance.1973(28):695-705.
    [52]Vargas-Silva C. The effect of monetary policy on housing:a factor augmented vector auto regression(FAVAR) approach[J]. Applied Economics Letters,2008(15):749-752.
    [53]Willam T. On stock market returns and monetary policy. The Jounal of Finance.1997(52):635-654.
    [54]Working H. New concepts concerning futures and prices[J]. American Economic Review.1961, 51(2):160.
    [55]Zagaglia P. Macroeconomic factors and oil futures prices:a data-rich model[J]. Energy Economics, 2010(32):409-417.
    [56]班奕.企业怎样通过商品期货交易规避风险[J].价值工程,2010(26)
    [57]本杰明·格雷厄姆、戴维·多德.证券分析[M].海南:海南出版社,2006
    [58]博晓旭、丰德民.中国金属期货价格影响因素分析—以铜金属为例[J].经济研究导刊,2011(10):78-80
    [59]蔡明超、杨朝军.资产组合管理[M].上海:上海交通大学出版社,2009
    [60]蔡玉时、陈惠薇.台湾进口设备与民间固定资本形成之关联性[J].经济研究,2003(04):1-17
    [61]蔡慧、我国商品期货价格指数与宏观经济变量间的关联研究[硕士学位论文].江苏:南京理工大学,2010
    [62]曹中红.论传统行业规避风险的新思路[J].现代商贸工业,2008,20(2):62-64
    [63]陈国进.资本市场理论与现代投资分析[M].北京:中国金融出版社,1997
    [64]陈国华.大宗商品金融属性及其在企业套期保值中的运用[硕士学位论文].云南:云南大学,2011
    [65]陈昆亭、周炎、龚六堂.中国经济周期波动特征分析:滤波方法的应用[J].世界经济,2004(10):33-34
    [66]陈裕稽.期货实战——概率交易系统与反射系统[M].北京:中国金融出版社,2005
    [67]陈婷、熊军、赵扬.经济周期与养老金战术资产配置研究[J].生产力研究,2011(6):24-26
    [68]戴维·达斯特.资产配置的艺术[M].上海:上海人民出版社,2005
    [69]戴玉林.马柯威茨模型的分析与评价[J].金融研究,1993(2)
    [70]戴丽君.商品期货价格与经济周期的相关性研究—以金属铜为例[J].思想战线,2010(2)
    [71]冯春山、蒋馥、吴家春.石油期货套期保值套期比选取的研究[J].系统工程理论方法应用,2005 (02):190-192
    [72]甘成久.江西铜业集团公司发展战略的若十问题研究[硕士学位论文].南昌:南昌大学,2007
    [73]高飞.基金公司动态资产配置策略研究:[硕士学位论文].北京:北京林业大学,2004
    [73]高铁梅.计量经济分析方法与建模[M].北京:清华大学出版社,2006
    [75]高铁梅、李晓芳.应用HP滤波方法构造我国增长循环的合成指数[J].数量经济与技术经济研究,2001(09):27-29
    [76]高扬.人民币升值对国内外大宗商品价格影响的分析[J].中国物价,2008(09):26-29
    [77]高勇、黄登仕、蒋玉石.基于分解模型的多期限期货合约套期保值绩效研究[J].统计与决策,2005(17):125
    [78]关旭.国际大宗商品价格波动的中国因素研究——以有色金属为例[硕士学位论文].上海:复旦大学,2010
    [79]何海海.高铜价下涉铜企业套期保值业务探讨[J].中国有色金属,2007(12):70-72
    [80]洪涛、高波.中国股价与房价关系分析[J],价格理论与实践,2007(1):53-56
    [81]胡继之.金融衍生产品及其风险管理[M],北京:中国金融出版社,2000
    [82]华仁海、陈白助.上海期货交易所铜、铝套期保值问题研究[J].中国金融学,2004(5):169-183
    [83]黄长征.期货套期保值决策模型研究[J].数量经济技术经济研究,2004(07)
    [84]贾新宇.沪铜期货市场价格发现功能的实证研究[硕士学位论文.重庆:西南大学,2008
    [85]江男.铜加工企业套期保值案例[J].中国有色金属,2008(4):68-69
    [81]姜继娇、杨乃定.基于行为金融的机构投资者资产配置模式[J].生产力研究,2004(8):64-66
    [86]杰里米·西格尔.投资者的未来[M].天津:机械工业出版社,2010
    [87]康怡.积极的国际债券资产配置决策[J].投资研究,2004(6):33-36
    [88]李东玉.大宗商品周期与我国经济周期的相关性研究——基于金属价格与GDP增长率的实证分析[硕士学位论文].成都:西南财经大学,2012
    [89]李敬辉、范志勇.利率调整和通货膨胀预期对大宗商品价格波动的影响——基于中国市场粮价和通货膨胀关系的经验研究[J].经济研究,2005(06):61-65
    [90]李苗、毛加强、杜思霖.货币政策变动对股市行业冲击的信息传导分析[J].统计与决策,2009(5):13-16
    [91]李鹏,宋军.国内国际期铜价格动态关系研究[J].统计与决策,2008(12):132-134
    [92]李善民、徐沛Markowitz资产组合理论模型应用研究[J].经济科学,20(1)
    [93]李挺.大宗商品期货在资产组合中的应用于分析[硕士学位论文].上海:上海交通大学,2008
    [94]李跃中.期铜价格走势“中国因素”的实证研究[硕士学位论文].合肥:安徽大学,2006
    [95]李志章、徐晓军.铜选矿工艺发展评述[J].铜业工程,2000(1):16-19
    [96]李佳.基于STAR模型的世界工业生产与伦铜期价关系的研究.[硕士学位论文].杭州:浙江工商大学,2008
    [97]李勤.外汇市场多期沾亲套期保值方法研究硕士学位论文].广州:中山大学,2010
    [98]李经谋、姬广坡.1994农产品期货市场的功能[J].决策探索,,1994(8)
    [99]黎鹏.基于谱分解的布伦特原油价格周期研究[J].统计与咨询,2008(06):21-23
    [100]梁小民.西方经济学教程[M]一北京:中国统计出版社,1996
    [101]林海.中国证券投资基金投资策略的实证研究[硕士学位论文].南昌:江西财经大学,2003
    [102]刘列励、严美艺.协整关系对期货套期保值率影响的实证研究[J].北京理工大学学报(社会科学版),2006(05):72-74.
    [103]刘铁鹰、田波平GARCH类模型和状态空间模型波动率预测评价[J].统计与决策,2009(16):118-120
    [104]刘玉慧.股市周期与经济增长关联性实证研究[J].企业导报,2010(11)
    [105]卢锋、李远芳.国际商品价格波动与中国因素——我国开放经济成长面临新问题[J].金融研究,2009(10):38-56
    [106]毛学峰、曾寅初.基于时间序列分解的生猪价格周期识别[J].中国农村经济,2008(12)
    [107]毛莹.理性预期下的货币政策效应博弈分析[J].中央银行实务.2009(2):54-55
    [108]彭凯翔.通货膨胀、存粮和粮价形成的关系[D].北京:CCER,2002
    [109]邵延平GARCH模型对期铜市场风险的研究[J].运筹与管理,2007(16):108-112
    [110]沈开艳.中国期货市场运行与发展[M].上海:学林出版社,2003
    [111]施兵超.金融期货与期权[M],上海:三联出版社,1996
    [112]苏民、逯宇铎.经济周期视角下的资产轮动模式[J].金融理论与时间,2011(6):23-26
    [113]孙祁祥、郑伟、肖志光.经济周期与保险周期——中国案例与国际比较[J].数量经济技术经济研究,2011(03):3-2
    [114]孙振、张永正、王小利.1999-2008年我国经济周期的状态划分及其拐点识别[J].统计与决策,2009(1):105-107
    [115]童宛生,常清,胡俞越.期货市场前沿问题研究[M].北京:中国对外经济贸易出版社,2006
    [116]王春峰、李刚.基于分布拟合法的VAR估计[J].管理工程学报,2002(04):33-37
    [117]王骏、张宗成.中国期货市场套期保值绩效实证研究[J].证券市场导报,2005(11):17-18
    [118]王铁锋、张屹山.基于期权理论的动态证券资产配置策略研究[J].财贸经济,2004(6):22-25
    [119]王晓芳、田军伟.宏观经济变量与股市关系的实证研究[J].数量经济技术经济研究.2002(9):99-102
    [120]王学民.应用多元分析[M].上海:上海财经大学出版社,2004
    [121]王永红、赵学金.中国股市惯性策略和反转策略的实证分析[J].经济研究,2001(6):56-61
    [122]王云.国际大宗商品价格波动的影响因素研究——基于MS-VAR方法[硕士学位论文].大连:大连理工大学,2011
    [123]吴成颂.美国商业银行资产配置分析及对我国的启示[J].生产力研究,2005(6):142-144
    [124]吴冲锋、穆启国.资产定价研究[M].科学出版社,2008
    [125]吴世农、陈斌.风险度量方法与金融资产配置模型的理论与实证研究[J].经济研究,1999(9):30-38
    [126]伍海军、马永开.展期套期保值策略研究[J].电子科技大学学报,2004(2):99-113
    [127]辛月.基于小波理论的期铜价格周期波动和预测模型研究[硕士学位论文],北京:北方工业大学,2011
    [128]徐锦.期货、期权在航空工业中的运用及影响研究[硕士学位论文],江苏:南京理工大学,2010
    [129]徐前春.世界经济周期的生成和传导机制研究[博士学位论文].浙江:浙江大学,2004
    [130]严太华、孟卫东、刘星洋.铜和绿豆期货价格与现货价格协整关系的实证[J].重庆大学学报,2000(23):115-19
    [131]杨湘豫、崔迎媛.基于C-G-E的中国开放式基金投资组合风险度量[J].财经理论与实践,2009(30):43-46
    [132]姚京、李仲飞.基于Var的金融资产配置模型[J].中国管理科学,2004(12):8-14
    [133]叶永刚.衍生金融工具[M].北京:中国金融出版社,2001
    [134]于瑾.投资基金资产配置重要性的理论述评[J].经济管理,2004(19):73-77
    [135]张世英,樊智.协整理论与波动模型[M].北京:清华大学出版社,2005
    [136]张哓峒.计量经济学软件:Eviews使用指南[M].天津:南开大学出版社,2004
    [137]张雪莹.资产配置对基金收益影响程度的定量分析[J].证券市场导报,2005(10):67-71
    [138]张玉喜.货币与经济周期:理论发展及其评述[J].当代经济研究,2010(05):7-9
    [139]曾令波.我国共同基金对动态资产配置策略的应用初探[J].当代财经,2003(223):41-44
    [140]赵华楠.保本基金的资产配置研究[硕士学位论文].辽宁:大连理工大学,2004
    [141]肇越.金融资产膨胀与货币政策困境[M].北京:社会科学文献出版社,2006
    [142]郑木清.机构投资者积极资产配置决策研究:[博士学位论文].上海:复旦大学,2003
    [143]中国证监会.中国期货市场专题研究[M].北京:中国财政经济出版社,2000
    [144]中国人民银行重庆营管部课题组.国际大宗商品价格运行态势及其与中国经济随动关系探讨[J].金融与经济,2009(7):7-10
    [145]周蓓、齐中英、周春伟.沪铜期货收益波动性的分阶段实证研究[J].技术经济与管理研究,2006(3):42-45
    [147]周琳杰.中国股票市场动量策略赢利性研究[J].世界经济,2002(8):26-31
    [148]周菊花.国际大宗商品价格与我国经济周期关联性研究[J].西部论坛,2012(5):78-87
    [149]赵华楠.保本基金的资产配置研究[硕士学位论文].辽宁:大连理工大学,2004
    [150]周帱云.铜产业及铜价格影响因素的相关分析[硕士学位论文].四川:西南交通大学,2010
    [151]朱敏.期货投资中技术分析有效性实证研究——基于沪铜与伦敦铜的比较分析[J].上海经济研究,2010(4):72-81

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