股票市场对货币政策的反应一直是政府监管部门、投资者和学术界关注的重要问题。本文首先在假设投资者风险厌恶、且存在乐观和悲观情绪的条件下,以利率为货币政策变量,以投资者效用最大化为决策目标,建立数学模型从理论上研究货币政策和投资者情绪对中国股票市场波动性的影响机理;其次,以2006-2014年期间的中国货币政策数据、投资者情绪数据和股票市场指数收益数据为样本,对理论模型所得结果进行实证检验。理论和实证研究结果表明,中国股票市场价格波动性与投资者情绪正相关,与市场利率负相关;投资者情绪在一定程度上弱化了货币政策对股票市场波动性的调控作用,进而使得股票市场对货币政策的实际反应偏离了货币政策调控目标。论文研究结果基于投资者情绪视角对中国股票市场不符合传统理论的货币政策效应做出了合理解释。
The reaction of the stock market to monetary policy has always been an important issue for government regulatory departments, investors and academics. When investors have irrational psychological preferences such as optimistic or pessimistic mood, the effect of monetary policy on the stock market should be different from that when investors are completely rational. Therefore, systematically and deeply researching the relationship among monetary policy, investor sentiment and volatility of stock market is of great academic and practical significance. It will contribute to improving the government's regulatory efficiency on the stock market and ensuring Chinese stock market to healthily and stably development. First, referring to the utility measuration method of Holmstrom and Milgrom (1987), using interest rate as monetary policy variable, and taking the utility maximization as the investors' decision objection, the mathematical model is constructed to theoretically research the effect mechanism of monetary policies and investment sentiment on the volatility of stock market under the hypothesis conditions that investors are risk averse and have optimistic or pessimistic emotion. The results of theoretical model show that the volatility of stock market is positively related to investor sentiment and negatively related to interest rates. In addition, investor sentiment would weaken the regulatory function of monetary policies on the volatility of stock market to a certain extent, and make the actual reaction of stock market to monetary policies deviate from the regulation target of monetary policies. Then, the short-term Haodan index surveyed by Stock Market Trend Analysis Weekly is used to construct investor sentiment indicator. Taking the SHIBOR (Shanghai Interbank Offered Rate) and the net currency issuance of Chinese open market as monetary policy indicators, the ARCH model is setting up to empirically test the results of above-mentioned theoretical model based on the weekly data of Chinese stock market from October 2006 to September 2014. The empirical results show that the SHIBORs would have significantly negative effects on the volatility of Chinese stock market, and the investor sentiment and the net currency issuance of Chinese open market would have significantly positive effects on the volatility of Chinese stock market. The volatility of Chinese stock market when investors are optimistic would be significantly greater than that when investors are rational and pessimistic. The reasonality and correctness of the above-mentioned theoretical model are further proved by these empirical results. In this paper, the investor sentiment is introduced to a new analysis framework to disclose the effect mechanism of monetary policies on stock market, and clarify the reaction behavior characteristics of stock market to monetary policies under the condition that investors are irrational such as optimistic or pessimistic. The theoretical and empirical results of this paper provide reasonable explanations to the monetary policy effects of Chinese stock market which are not accord with the traditional financial market theory based on the perspective of investor sentiment, and supplement and enrich the system of behavioral finance theory based on the operating practices of Chinese stock market to a certain extent.
[1] Kuttner K N. Monetary policy surprises and interest rates:Evidence from the fed funds futures market[J]. Journal of Monetary Economics,2001,47(3):523-544.
[2] Bernanke B S,Kuttner K N. What explains the stock market's reaction to federal reserve policy?[J]. The Journal of Finance,2005,60(3):1221-1257.
[3] He L T. Variations in effects of monetary policy on stock market returns in the past four decades[J]. Review of Financial Economics,2006,15(4):331-349.
[4] Chen S S. Does monetary policy have asymmetric effects on stock returns?[J]. Journal of Money Credit & Banking,2007,39(2):667-688.
[5] Basistha A,Kurov A. Macroeconomic cycles and the stock market's reaction to monetary policy[J]. Journal of Banking & Finance,2008,32(12):2606-2616.
[6] Challe E,Giannitsarou C. Stock prices and monetary policy shocks:A general equilibrium approach[J]. Journal of Economic Dynamics & Control,2011,40(1):46-66.
[7] Gospodinov N,Jamali I. The response of stock market volatility to futures-based measures of monetary policy shocks[J]. International Review of Economics & Finance,2015,37(5):42-54.
[8] 王培辉. 货币冲击与资产价格波动:基于中国股市的实证分析[J]. 金融研究,2010,(7):59-70.
[9] 陈其安,张媛,刘星. 宏观经济环境、政府调控政策与股票市场波动性——来自中国股票市场的经验证据[J]. 经济学家,2010,(2):90-98.
[10] 王少林,林建浩,杨燊荣. 中国货币政策与股票市场互动关系测算-基于FAVAR-BL方法的分析[J].国际金融研究,2015,(5):15-25.
[11] De Long J B,Shleifer A,Summers L H,et al. Noise Trade Risk in Financial Markets[J]. Journal of Political Economy,1990,98(4):703-38.
[12] De Bondt W P M. Betting on trends:Intuitive forecasts of financial risk and return[J]. International Journal of Forecasting,1993,9(3):355-371.
[13] Lee W Y,Jiang C X,Indro D C. Stock market volatility,excess returns,and the role of investor sentiment[J]. Journal of Banking & Finance,2002,26(12):2277-2299.
[14] Hirshleifer D,Teoh S H. Limited attention,information disclosure,and financial reporting[J]. Journal of Accounting and Economics,2003,36(1-3):337-386.
[15] Brown G W,Cliff M T. Investor sentiment and the near-term stock market[J]. Journal of Empirical Finance,2004,11(1):1-27.
[16] Baker M,Wurgler J. Investor sentiment and the cross-section of stock returns[J]. Journal of Finance,2006,61(4):1645-1680.
[17] Baker M,Wurgler J. Investor sentiment in the stock market[J]. Journal of Economic Perspectives,2007,21(2):129-151.
[18] Fisher K L,Statman M. Market timing in regressions and reality[J]. Journal of Financial Research,2006,29(3):293-304.
[19] Schmeling M. Investor sentiment and stock returns:some international evidence[J]. Journal of Empirical Finance,2009,16(3):394-408.
[20] 王美今,孙建军. 中国股市收益、收益波动与投资者情绪[J]. 经济研究,2004,(10):75-82.
[21] 陈鹏程,周孝华. 机构投资者私人信息、散户投资者情绪与IPO首日回报率[J]. 中国管理科学,2016,24(4):37-44.
[22] 陆静,周媛. 投资者情绪对股价的影响——基于AH股交叉上市股票的实证分析[J]. 中国管理科学,2015,23(11):21-28.
[23] 陈其安,陈亮,赖琴云. 噪音交易、投资者情绪与中国股票市场收益风险[M]. 北京:中国财政经济出版社.
[24] 陈其安,朱敏,赖琴云. 基于投资者情绪的投资组合模型研究[J].中国管理科学,2012,23(3):47-56.
[25] 张宗新,王海亮. 投资者情绪、主观信念调整与市场波动[J]. 金融研究,2013,(4):142-155.
[26] 王春. 投资者情绪对股票市场收益和波动的影响-基于开放式股票型基金资金净流入的实证研究[J]. 中国管理科学,2014,22(9):49-56.
[27] 高大良,刘志峰,杨晓光. 投资者情绪、平均相关性与股市收益[J]. 中国管理科学,2015,23(2):10-20.
[28] 巴曙松,朱虹. 融资融券、投资者情绪与市场波动[J]. 国际金融研究,2016,(8):82-96.
[29] Lutz C. The impact of conventional and unconventional monetary policy on investor sentiment[J]. Journal of Banking & Finance,2015,61:89-105.
[30] Kurov A. Investor sentiment and the stock market's reaction to monetary policy[J]. Journal of Banking & Finance,2010,34(1):139-149.
[31] Li Jinfang. The asymmetric effects of investor sentiment and monetary policy on stock prices[J]. Applied Economics,2015,47(24):2514-2522.
[32] 张前程,杨德才. 货币政策、投资者情绪与企业投资行为[J]. 中央财经大学学报,2015,(12):57-68.
[33] Diamond D W,Verrechia R E. Information aggregation in a noisy rational expectations economy[J]. Journal of Financial Economics,1981,9(3):221-235.
[34] Hellwig M F. On the aggregation of information in competitive markets[J]. Journal of Economic Theory,1980,22(3):477-498.
[35] Holmstrom B,Milgrom P. Aggregation and linearity in the provision of intertemporal incentitives[J]. Econometrica,1987,55(2):303-328.
[36] Gervais S,Odean T. Learning to be overconfident[J]. The Review of Financial Studies,2001,14(1):1-27.
[37] Kahneman D,Tversky A. Prospect theory:An analysis of decision under risk[J]. Econometrica,1979,47(2),263-291.