关于黄金定价的一些研究
详细信息    本馆镜像全文|  推荐本文 |  |   获取CNKI官网全文
摘要
黄金,作为一种特殊的大宗商品,具有商品、货币和投资避险的多重属性。它已经跨越政治制度、种族文化、经济发展程度,好比一条金色的血脉,贯穿于整个人类的历史。黄金不仅被用做饰品业、工业和现代高新技术产业的重要原材料,也被用作重要的国际支付手段和财富储备载体;不仅被投资者当作危机时候资金的避风港,也被视为规避通货膨胀风险的投资工具。此外,黄金还是反映市场风险溢价水平的重要指标,并通过影响资产定价的风险溢价水平,来影响资本市场其他资产的价格。因此,黄金是非常重要的一类金融产品,对其进行定价研究具有重要的理论和实际意义。
     正是因为黄金具有多重属性,其价格决定机制较一般普通商品更为复杂,不仅仅是简单的黄金商品供求决定机制,还包括黄金的财富储值、投资、投机等货币、避险属性共同作用的结果。从我们对黄金资产定价多年的研究来看,我们认为影响黄金的因素较多,且在不同的宏观经济周期时期,其主要的驱动变量会有漂移。因此,本文的研究思路是从黄金的大宗商品、货币和投资避险等多个角度来研究黄金的定价模型,并提出几个具有理论意义和实际用途的黄金定价模型。
     具体而言,本文仔细梳理了过去学者研究黄金的文献,按黄金的大宗商品、货币以及投资避险三大属性,黄金市场及黄金定价,黄金对货币体系影响的顺序回顾了过去学者对于黄金研究的成果。并在前人的基础上,引入一些新的金融指标和资产价格(比如:美国国债CDS利差,通胀保护债券TIPS、加权马歇尔K值等)来研究黄金的定价模型,通过研究发现:这些新的宏观指标和资产价格能更有效的反映相关的宏观、市场因子对黄金价格的影响和驱动作用,为今后的学者研究黄金定价提供一些可供参考的资料,同时也有利于国内相关投资机构进行黄金交易。本文的主要研究结果包括如下:
     在金融危机期间,本文综合考虑黄金的大宗商品、货币和投资避险属性,将黄金价值分解为:大宗商品基准价值、基于汇率的“隐性货币价值”、主权国家信用违约的风险溢价,并分别以大宗商品CRB指数、美元指数和美国国债CDS利差作为代理变量对其进行定价研究。从黄金的大宗商品、货币以及投资避险属性出发,提出黄金的三因素定价模型,研究表明:美元指数USDX负向驱动黄金价格,大宗商品指数CRB、美国国债指数CDS正向驱动黄金价格;其中美元指数滞后一阶、美国国债CDS利差滞后二阶的价格信息对黄金价格影响非常显著。
     通过研究实际利率与黄金价格走势,我们发现实际利率预期较实际利率本身更能影响黄金的价格走势,我们用美国国债利率与通货膨胀率之差来测度实际利率,用通胀保护债券TIPS收益率来测度实际利率预期,并通过大样本实证研究得出实际利率预期的确对黄金价格产生非常明显的负向影响,同时还为后来的研究者提供了一种通过黄金价格走势反推隐含实际利率预期的思路。
     我们还发现近十年来黄金的商品需求在逐步下行,投资需求在不断攀升,而各国央行投放的过量流动性是黄金投资需求持续上升的根本原因。在文章中,我们通过构造加权马歇尔K值来测度全球流动性,并通过对加权马歇尔K值和黄金价格的实证研究得出结论:流动性是决定长期黄金价格走势的重要因素。
     此外,本文还研究了黄金在国际货币体系变迁中的地位的变化,以及未来国际货币体系变革过程中黄金可能发挥的作用。文中将国际货币体系变革分为国际货币体系改良以及国际货币体系改革两种情况,并分别探讨了这两种情况下黄金地位的变化以及其价格可能出现的走势。
     最后需要陈述的是,本文的写作以及博士学位的攻读也是作者对资产定价理论认识的逐步转变和深化过程。作者最初研究的是衍生产品定价,因此更多的偏向于无套利分析方法。但随着对资产定价的理论研究的深入,特别是本轮金融危机以来对资产定价理论的反思,笔者意识到很多资产定价需要跳出无套利分析方法,更多的和宏观经济结合,以避免未来再次出现类似次贷危机的情况。因此,本论文的写作,其实也是隐含着作者从“无套利分析方法”向“一般均衡思想”的一种思维意识的转化。
As a special commodity, gold has multiple properties: commodity, currency andhedging. Its footprint has crossed different political systems, ethics, cultures, andeconomic levels, like a golden vein throughout the body of human history. Gold is notonly an important raw material for jewelry industry and modern high-tech industry, butalso an important tool for international payment and wealth reserve, not only as a safehaven during the financial crisis, but also as a hedging instrument for inflation risk.Besides, gold is a critical indicator of risk premium. By influencing the risk premium inasset pricing, gold can affect other asset prices in the capital market. Therefore, gold is avery important financial product and its pricing research has important theoretical andpractical values.
     Gold pricing is more complicated than ordinary commodity because of its multipleproperties with significant influences. Not simply determined by demand and supply,the pricing of gold also relies on currency and hedging properties. According to ourresearch on gold asset pricing, we believe there are considerable factors whose drivingvariables would fluctuate at different stages of economy cycle. Keeping this in mind,the research is going to study the gold pricing theory through the commodity, currencyand hedging properties of gold, and propose several theoretical and practical uses ofgold pricing model.
     Specifically, this paper has reviewed previous literatures in the following order:commodity, currency and hedging properties, gold market, gold pricing and the impacton international monetary system. Based on previous research, this paper has introducedseveral new financial indicators and asset prices (such as US treasury CDS spread,Treasury Inflation-Protected Securities (TIPS), Weighted Marshall-K) to the goldpricing model. The study found those new indicators and asset prices can effectivelyreflect gold price. This result can help further academic researches and also helpinvestors with their daily trading. The following aspects are our main research findings:
     This paper has considered the three properties of gold and decomposed gold’svalue into three parts during the financial crisis: commodity value, currency value and risk premium value. In this paper we use CRB index, USDX index and U.S. TreasuryCDS spread as variables in our VAR model. We found that USDX index is negativelycorrelated with the gold price, while CRB index and U.S. Treasury CDS spreads arepositively correlated with it. In particular, we found that the one-lagged CRB index,one-lagged USDX index, and two-lagged U.S. Treasury CDS spreads have significantimpact on gold price.
     By studying the real interest-rate and gold price movements, we found that theexpected real interest-rate has stronger influence on gold price movements than realinterest-rate itself. We use the spread between US Treasury bill rate and CPI to measurereal interest-rate and TIPS yield to measure the expected real interest-rate. A largesample empirical study reveals that expected real interest–rate has indeed stronginfluence to gold price.
     We also found that over the last decade the demand for gold as commodity wasgradually decreasing, while the demand for gold as investment was rising. The mainreason for such situation is the excess liquidity provided by the central banks. In thispaper, we have constructed Weighted Marshall-K to measure global marco-liquidity,and then concluded that liquidity is an important factor to determine the movement oflong-term gold price.
     In addition, this paper has studied the status change of gold during the change ofinternational monetary system and the potential function of gold during the change ofmonetary system in the future. This paper has categorized the change of internationalmonetary system into two aspects: international monetary system improvement andinternational monetary system reform. Under these two conditions, this paper hasdiscussed the status change of gold and potential price movement in the future.
     Last but not the least, the period of writing this paper and pursuing the DoctorateDegree was also a period for the author to learn and strenghen the knowledge in assetpricing. The initial research was focused on derivative product pricing, which was morerelative to no-arbitrage pricing model. However, after more theoretical research on assetpricing, especially rethinking on asset pricing during the financial crisis, the authorrealized asset pricing model should apply to the macro-economy with arbitrageopportunities; and this could also help avoid potential financial crisis like subprimemortgage crisis in the future. Therefore, writing of this paper also implies the author’s change of mind from no-arbitrage theory to general equilibrium theory.
引文
[1] V. Akgiray, G. Booth, J. Hatem, and C. Mustafa. Conditional dependence in precious metalprices [J].Financial Review,1991,26(3):367-386.
    [2] D. Ranson, C. Wainwright. Inflation protection: why gold works better than Linkers[C].TheWorld Gold Council,2005.
    [3] E. Blose. Gold prices, cost of carry, and expected inflation[J]. Journal of Economics andBusiness,2009,62(2),35–47.
    [4] L. Sjaastad, F. Scacciavillani. The price of gold and the exchange rate [J].Journal ofInternational Money and Finance,1996,15:879-897.
    [5] L. Sjaastad. The price of gold and the exchange rates: once again [J].Resource Policy,2008,33:118-124.
    [6] M. Dooley, P. Isard, and M. Taylor. Exchange rate, country preference, and gold. Working paper,IMF, July,1992.
    [7] J. Jaffe. Gold and gold stocks as investments for institutional portfolios [J].Financial AnalystsJournal,1989,45,(2):53-59.
    [8] D. Hiller, R. Faff. Do precious metals shine? an investment perspective[J].Financial AnalystJournal,2006,62(2):15-21.
    [9] R. Aggarwal, A. Soenen. The nature and efficiency of the gold market [J]. Journal of PortfolioManagement,1988,14:18–21.
    [10] J. Carter, G. Affleck, and H. Money. Are gold shares better than gold for diversification?[J].Journal of Portfolio Management,1982,9:52–55.
    [11] E. Blose, P. Shieh. The impact of gold price on the value of gold mining stock [J]. Review ofFinancial Economics,1995,4:125–139.
    [12] B. Larsen, R. McQueen. REITs, real estate, and inflation: lessons from the gold market [J].Journal of Real Estate Finance and Economics,1995,10:285–297.
    [13] R. McCown, R. Zimmerman. Is gold a zero-beta asset? Analysis of the investment potential ofprecious metals, social science research network Working Paper no.920396.2006.
    [14] E. Blose. Gold price risk and the returns on gold mutual funds [J].Journal of Economics andBusiness,1996,48,499–513.
    [15] R. Daly. Tactical asset allocation to gold, working paper, Korea Bank,2005.
    [16] H. Chua, G. Sick, and S. Woodward. Diversifying with gold stocks [J].Financial analystjournal,1990,46(4):76-79.
    [17] T. Garry. Gold prices, exchange rates, gold stocks, and the gold premium [J].Australian Journalof Management,2002,27(2):123-140.
    [18] G. Baur, M. Lucey. Is gold a hedge or a safe haven? an analysis of stocks, bonds and gold[J].Eastern Finance Association,2010,45(2):217-229.
    [19]范为,宋鸿兵.基于均值-VaR的大类资产配置[J].金市观察,2008,3:36-41.
    [20]范为.再谈大类资产配置中的黄金[J].金市观察,2009,4:42-47.
    [21] W. Bailey. An empirical investigation of the market for COMEX gold futures options [J].TheJournal of Finance,1987,42(5):1187-1194.
    [22] F. Chow. Arbitrage, risk premium, and cointegration tests of the efficiency of futures markets[J]. Journal of Business Finance, and Accounting2001,28:693-713.
    [23] J. Batten, L. Brian. Volatility in the gold futures market [J] International Integration Studies,2007(2):101-103.
    [24]范为,宋鸿兵,房四海.黄金联结债券定价研究[R].宏源证券研究报告—金融工程系列12,2008,9.
    [25] M. Wahab, R. Cohn, and M. Lashgari. The gold-silver spread: integration, cointegration,predictability and ex-ante arbitrage [J]. Journal of Future Markets,1994,14(6):707-756.
    [26] A. Escribano, J. Granger. Investigating the relationship between gold and silver price.[J].Journal of Forecasting,1998,17(2):81-107.
    [27] C. Ciner. On the longrun relationship between gold and silver prices: a note [J]. Global FinanceJournal,2001,12(2):299-303.
    [28] J. Batten, C. Ciner, and L. Brain. Structure in gold and silver spread fluctuations. WorkingPaper, SSRN,2007.
    [29] L. Brian, T. Edel. Seasonality, risk and return in daily COMEX gold and silver data1982-2002[J] Applied Financial Economics,2006,16(3):319-333.
    [30] E. Tschoegl. Efficiency in the gold market [J].Journal of Banking and Finance,1980,4(4):371-379.
    [31] R. Weston. Gold: a world survey [M].New York: St. Martin’s Press,1983.78-89.
    [32] A. Monroe, A. Cohn. The relative efficiency of the gold and treasury bill futures markets[J].TheJournal of Futures Markets,1986,6(3):477-493
    [33] C. Ball, W. Torous, and A. Tschoegl. Gold and the weekend effect [J]. Journal of FuturesMarkets,1982,2(2):175-182.
    [34] J. Cai, Y. Cheung, and M. Wong. What moves the gold market?[J].Journal of Futures Markets,2001,21(3):257-278.
    [35] T. Edel, L. Brian. A power GARCH examination of the gold market [J].International Businessand Finance,2007,21:317-324.
    [36] Z. Ding, J. Granger, and F. Engle. Long memory property of stock market returns and a newmodel [J]. Journal of Empirical Finance,1993,1,83–106.
    [37] R. Brooks, R. Faff, M. McKenzie, and H. Mitchell. A multi-country study of power arch modelsand national stock market returns [J]. International Money Finance,2000,19,377–397.
    [38] P. Antonino, P. Franco, and D. David. Forecasting gold price changes: rolling and recursiveneutral network models [J]. Journal of Multinational Financial Management,2007,322:1-11.
    [39] G. Grudnitski, L. Osburn. Forecasting S&P and gold futures prices: an application of neuralnetworks [J]. Journal of Futures Markets,1993,13(6):631-643.
    [40]郑秀田.基于GRACH-M模型的黄金市场风险与收益关系研究[J].黄金,2008,29(5):4-7.
    [41]温博慧.国内外黄金价格波动性及其演化的实证研究[J].世界经济情况,2008,29(10):59-64.
    [42] B. Goodman. The price of gold and international liquidity [J].Journal of Finance,1956,11(1):15-28.
    [43] S. Stephen, H. Dale. Market anticipations of government policies and the price ofgold[J].Journal of Political Economy,1978,86(4):627-648.
    [44] C. Luis, N. Solomos. Effective exchange rates and the classical gold standard adjustment[J].American Economic Review,2005,95(4):1259-1275.
    [45] C. Forrest, C. Terence, and G. Wood. Gold as a hedge against the dollar [J].Journal ofInternational Financial Market, Institutions and Money,2005,15(2):343-352.
    [46]杨柳勇,史震涛.黄金价格的长期决定因素分析[J].统计研究,2004,25(6):21-24.
    [47]傅瑜.近期黄金价格波动的实证研究[J].产业经济研究,2004,8(1):30-40.
    [48]杨叶.黄金价格和石油价格的联动分析[J].黄金,2007,28(2):4-7.
    [49]王文杰,部慧,陆凤彬.金融海啸下我国黄金期货市场波动性的实证分析[J].管理评论,2009,21(2):77-83.
    [50]范为,房四海.金融危机期间黄金价格的影响因素研究[J].管理评论,2012,.24(3):3-11.
    [51]胡乃联,宋鑫.自适应过滤模型在黄金价格预测中的应用[J].黄金,1999,14(5):16-24.
    [52]李俊青.虚拟经济波动复杂性研究[J].南开经济研究,2004,19(6):29-31.
    [53]刘曙光,胡再勇.黄金价格的长期决定因素稳定性分析[J].世界经济研究,2008,23(2):35-41.
    [54]翟敏,华仁海.国内外黄金市场的关联研究[J].产业经济研究,2006,10(2):30-35.
    [55] L. Johansen. A multi-sectoral study of economic growth [M]. North-Holland,1960.
    [56] J. Arrow, G. Debreu. Existence of a competitive equilibrium for a competitive economy[J].Econometrica,1954,22(3):265–90.
    [57] G. Debreu. The theory of value: an axiomatic analysis of economic equilibrium [M]. YaleUniversity Press,1959.
    [58] M. Markowitz. Portfolio selection [J]. Journal of Finance,1952,7(1):77–91.
    [59] W. Sharpe. Capital asset prices-a theory of market equilibrium under conditions of risk[J].Journal of Finance,1964,19(3):425-442.
    [60] J. Lintner. Portfolios and capital budgets [J].Review of Economics and Statistics,1965,47(1):13-37.
    [61] L. Treynor. How to rate management of investment funds [J]. Harvard Business Review,1965,43(1):63-75.
    [62] N. Hakansson, W. Ziemba, and R. Vickson. Optimal investment and consumption strategiesunder risk for a class of utility functions [J]. Econometrica,1970,38(9):587-607.
    [63] E. Fama. Multi-period consumption-investment decisions [J].American Economic Review1970,60:163–174.
    [64] C. Merton. An intertemporal capital asset pricing model [J].Econometrica1973,41(5):867-887eview1970,60:163–174.
    [65] D. Breeden. An intertemporal asset pricing model with stochastic consumption and investmentopportunities [M]. Stanford University Press, Carlifolia,1979.
    [66] J. Cox, J. Ingersoll, and S. Ross. An intertemporal general equilibrium model of asset prices [J].Econometrica1985,53(2):363-384.
    [67] J. Cox, J. Ingersoll, and S. Ross. A thoery of the term structure of interest rate [J]. Econometrica1985,53(2):385-407.
    [68] E. Fama, K. French. The cross-section of expected stock returns [J]. Journal of FinancialStudies,1992,47(2):427-466.
    [69] F. Black, M. Scholes. The pricing of options and corporate liabilities [J]. Journal of PoliticalEconomy,1973,81:637-659.
    [70] R. Merton. The theory of rational option pricing [J].Bell Journal of Economics andManagement Science,1973,4:141-183.
    [71] C. Cox, S. Ross, and M. Rubinstein. Option pricing: a simplified approach [J].Journal ofFinancial Economics,1979,7:229-264.
    [72] O. Vasicek. An equilibrium characterization of the term structure [J]. Journal of FinancialEconomics1977,11(5):177-188.
    [73] Y. Ho, Sang-Bin Lee. Term structure movements and the pricing of interest rate contingentclaims [J]. Journal of Finance1986,41,1011-1029.
    [74] J. Hull, A. White. Pricing interest rate derivative securities [J]. Review of Financial Studies1990,3,573-592.
    [75] D. Heath, R. Jarrow, and A. Morton. Contingent claim valuation with a random evolution ofinterest rates [J]. Review of Futures Markets,1990,9,54-76.
    [76] J. Ingersoll. A contingent claims valuation of convertible securities [J].Journal of FinancialEconomics,1977,4:289-322.
    [77] J. Brennan, S. Schwartz. Convertible bonds: valuation and optimal strategies for call andconversion [J]. Journal of Finance,1977,32:1699-1715.
    [78] J. McConnell, S. Schwartz. Taming LYONS [J]. Journal of Finance,1986,41,3:561-576.
    [79] S. Schwartz, N. Torous. Prepayment and the valuation of mortgage-backed securities [J].Journalof Finance,1989,44(2):375-392.
    [80] R. Cox. Regression models and life-tables [J].Journal of the Royal Statistical Society,1972,34(2):187-220.
    [81] S. Schwartz, N. Torous. Prepayment, default, and the valuation of mortgage pass-throughsecurities [J].Journal of Business,1992,65(2):221-239.
    [82] D. Li. On default correlation: a copula approach [J]. Journal of Fixed Income,2000,9(4):43-54.
    [83] J. Hull, A. White. Valuation of a CDO and an n-th to default CDS without Monte-Carlosimulation [J].Journal of Derivatives,2004,12(4):8-23.
    [84] J. Cox, S. Ross, and M. Rubinstein. Option pricing: a simplified approach [J].Journal ofFinancial Economics,1979,7:229-264.
    [85] J. Cox, S. Ross. The valuation of option for alternative stochastic process [J]. Journal ofFinancial Economics,1976,3:145-166.
    [86] M. Stein, C. Stein. Stock price distribution with stochastic volatility: an analytic approach[J].Review of Financial Studies,1991,4:727-752.
    [87] L. Heston. A closed-form solution for options with stochastic volatility, with application to bondand currency options [J]. Review of Financial Studies,1993,6:327-343.
    [88] D. Kremer, R. Roenfeldt. Warrant pricing: jump-diffusion vs. Black-Scholes [J].Journal ofFinancial and Quantitative Analysis,1993,28:255-272.
    [89] G. Schulz, S. Trautmann. Robustness of option-like warrant valuation [J].Journal of Bankingand Finance,1994,18:841-859.
    [90] T. Mikami. Investment strategy: convertible bonds and equity warrants[C]. Berkeley Programin Finance in Asia Seminar, Tokyo,1990.
    [91] H. Kuwahara, A. Marsh. The pricing of Japanese equity warrant [J].Management Science,1992,38:1610-1641.
    [92] C. Veld. Analysis of equity warrants as investment and finance instruments [M]. TilburgUniversity Press, Tilburg, Netherlands,1992.
    [93] T. Sunti. Warrant pricing by using constant elasticity model, an empirical study in Thailand,Working Paper, Chulalongkorn University,2005.
    [94]林海,郑振龙和彭博.股票波动率模型与认股权证定价,工作论文,2005.
    [95] XY. Yuan, W. Fan, and Q. Liu. China’s securities markets: challenges, innovations, and thelatest developments.[J]. International Finance Review,2007,8:245-262.
    [96]裴蕾.研究我国权证市场套利机会的实证分析[J].财经论坛,2006,10:337-338.
    [97]范为,陈宇.中国权证市场认购权证的价格偏误研究[J].管理学报,2007,8:245-262.
    [98]李刚,范为.认购权证负溢价现象和隐含波动率研究[J].运筹与管理,2008,17(6):99-106.
    [99] W. Fan, XY. Yuan. Call warrants on the china security market:pricing biases and investorsconfusion [J]. New Mathematics and Natural Computation,2011,7(2):333-345.
    [100] F. Black. The pricing of commodity contracts [J]. Journal of Financial Economics,1976,3:167-179.
    [101] D. Galai, Schneller M. Pricing of warrants and the value of the firm [J]. Journal of Finance,1978,47:80–81.
    [102] R. Gemmill, S. Thomas. Warrants on the London stock exchange: pricing biases and investorconfusion [J].European Finance Review.1997,1(1):31-49.
    [103] G. Schulz, S. Trautmann. Robustness of option-like warrant valuation [J].Journal of Bankingand Finance,1994,18(5):841-859.
    [104] C. Veld. Warrant pricing: a review of empirical research [J].European Journal of Finance,2003,6(9):61-91.
    [105] D. Nelson. Conditional heteroscedasticity in asset returns: a new approach [J]. Econometrica,1991,59:347-370.
    [106] J. Hull. Options, futures and other derivatives [M].6th Edition, Prentice Hall,2005.
    [107]岳朝龙.上海股市收益率GARCH模型族的实证研究[J].数量经济技术经济研究,2001,17(6):126-129.
    [108]胡海鹏,方兆本.AR-EGARCH模型对中国股市波动性的拟合分析[J].系统工程,2002,12(4):31-36.
    [109]陈千里,周少甫.上海指数收益的波动性研究[J].数量经济技术经济研究,2002,18(6):122-125.
    [110] J. Gonzalo. Five alternative methods of estimating long-run equilibrium relationship [J].Journal of Econometrics,1994,60(1):203-233.
    [111] R. Litterman, S. Jose. Common factors affecting bond returns [J].Journal of Fixed Income,1991,1(1):54-61.
    [112] R. Roll. U.S. treasury inflation-indexed bonds: the design of a new security [J].Journal ofFixed Income,1996,6(3):9-28.
    [113] R. Jarrow, Y. Yildiray. Pricing treasury inflation protected securities and related derivativesusing an HJM model [J].Journal of Financial and Quantitative Analysis,2003,38,2:337-358.
    [114] R. Roll. Empirical TIPS [J].Financial Analysts Journal,2004,60(1):31-53.
    [115]宋永明.指数化债券的理论与实践[J].金融研究,2003,9:22-30.
    [116]张彦.国外通胀指数债券的发展、运作机理及借鉴[J].国际金融研究,2006,2:69-73.
    [117]陈文殊,申世军.国外通胀指数债券市场发展及启示—以美国TIPS为例[J].价格理论与实践,2011,4:12-21.
    [118] R. Triffin. Gold and the dollar crisis: the future of convertibility [M].Yale University Press,New Haven,1963.
    [119] P. Krugman. The eternal triangle-explaining international financial perplexity
    [M].International Economics: Theory and Policy,6th edition, Addison Wesley,2003.
    [120] J. Tobin. The interest-elasticity of transactions demand for cash [J]. Review of Economics andStatistics,1956,38(3):241-247.
    [121] H. Heller, M. Knight. Reserve-currency preferences of central banks [M].Princeton Essays inInternational Finance,1978.
    [122]欧阳芳,余其昌.浅议我国外汇储备的结构管理[J].技术经济管理,2001,23(6):12-15.
    [123]宋铁波,陈建国.当前我国外汇储备币种组合分析[J].南方金融,2001,11(4):19-25.
    [124]周小川.关于改革国际货币体系的思考[A].中国人民银行网站,2009年3月.
    [125]冉生欣.现行国际货币体系研究[D].华东师范大学,2006年.
    [126] R. Engle, D. Li, and R. Russell. Estimating time varying risk premium in the term structure:the ARCH Model [J]. Econometrica,1987,55:391-407.
    [127] C. Downing, R. Stanton, and N. Wallace. An empirical test of a two factor mortgage valuationmodels: how much do house prices matter [J]. Real Estate Economics,2005,33(4):681-710.
    [128]欧诗德,杨善朝.认股权证价格过程的风险分析[J].系统管理学报,2008,17(6):675-679.
    [129] B. Adrangi, A. Chatrath, and C. Raffiee. Economic activity, inflation, and hedging: the case ofgold and silver investments.[J]. Journal of Wealth Management,2003,6,60–77.
    [130] E. Noreen, M. Wolfson. Equilibrium warrant pricing models and accounting for executivestock options [J]. Journal of Accounting Research,1981,7:384-398.
    [131] D. Leonard, M. Solt. On using the Black-Scholes model to value warrants [J]. Journal ofFinancial Research,1990,13:81-92.
    [132] H. Gemmill, S.Thomas. Warrants on the London stock exchange: pricing biases and investorconfusion [J].European Finance Review,1997,1:31-49.
    [133] M. Rubinstein. Implied binomial trees [J]. Journal of Finance,1994,49:771-818.
    [134] C. Jackwerth, M. Rubinstein. Recovering probability distributions from option prices [J].Journal of Finance,1996,51:1611-1631.
    [135] C. Ball, A. Roma. Stochastic volatility option pricing [J]. Journal of Financial andQuantitative Analysis,1994,29:589-607.
    [136] F. Black. Fact and fantasy in the use of options [J]. Financial Analysts Journal,1975,31:36-41.
    [137] J.Kim. An alternative approach to dividend adjustments to option pricing models [J]. Journalof Financial Engineering,1995,4:351-373.
    [138]傅世昌.变执行价格认股权证定价研究[J].云南财贸学院学报,2005,20(5):42:48.
    [139]吴江,阮彤.股权分置结构与中国上市公司融资行为[J].金融研究,2004,06:56-67
    [140] D. Madan, E. Seneta. The variance gamma model for share market return [J]. Journal ofBusiness,1990,63:511-524.
    [141] S. Heston, S. Nandi. A closed-form GARCH option valuation model [J]. Review of FinancialStudies,2000,3:585-625.
    [142] F. Fama, R. French. Business cycles and the behavior of metal prices [J]. Journal of Finance1988,43:1075-1093.
    [143] M. John, B. Mark. Conditional Monte Carlo: a simulation technique for stochastic networkanalysis [J] Management Science,197118(3):207-217.
    [144] S. Johansen. Statistical analysis of cointegrating vectors [J]. Journal of Economic Dynamicsand Control,1988,12(2):231-254.
    [145] B. Ramaprasad. Information flow between price and trading volume in gold futures contracts[J]. International Journal of Business and Economics,2004,(3):45-56.
    [146] J. Uricht. Models of fluctuation in metal futures prices [J]. Journal of Futures Markets2000,20(2):219-241.
    [147] X. Xu, G. Fang. Cross-market linkages between U.S. And Japanese precious metals futurestrading [J].International Financial Markets,2005,15(1):107-124.

© 2004-2018 中国地质图书馆版权所有 京ICP备05064691号 京公网安备11010802017129号

地址:北京市海淀区学院路29号 邮编:100083

电话:办公室:(+86 10)66554848;文献借阅、咨询服务、科技查新:66554700