分阶段的沪市波动不对称性的实证研究

本文以上证综合指数为研究对象,将股票市场波动划分为牛市和熊市两个阶段,采用GARCH模型族研究沪市的波动性特征,以及在牛市和熊市两个阶段股市的不平衡性反应。结果表明在牛市中,利好消息对股市的影响大于利空消息的影响;而在熊市中,利空消息的影响大于利好消息的影响。因此,管理层在出台相关政策时,应当判断市场消化政策冲击的能力,从而把握好政策调节市场的力度。     

投资者风险态度与我国股票市场发展的联动效应

投资者的风险态度在一定程度上可以反映一个市场的成熟程度。对投资者在不同时期的风险态度与我国股票市场发展的联动效应的分析结果表明：1991～1996年期间,“利好消息”的冲击效应要大于“利空消息”;1997年1月～2005年6月,“利空消息”的冲击作用大于“利好消息”;2005年6月以来,“利好消息”的冲击效应大于“利空消息”。总的看来,1997年以来,我国股市投资者的风险态度还是以风险厌恶或风险中性为主,表明我国股市正趋于成熟。     

中国股市在亚太地区的角色定位：基于油价冲击的风险溢出视角

国际油价波动对股票市场的影响研究一直备受关注,但对亚太和中国股市的风险溢出效应研究还有待拓展。鉴于冲击类型不同,本文将日度频率的油价波动分解为供给冲击、需求冲击和风险冲击,并基于基准回归模型与动态GARCH-Copula-CoVaR模型考察三类冲击对亚太和中国股市的影响与风险溢出。回归结果表明,需求冲击和风险冲击引起的油价上涨能显著提高两地区股市的平均收益,而供给冲击对此几乎无影响。从风险溢出视角看,中国股市在亚太地区主要扮演被动接受风险传染的角色：从需求冲击看,中国股市更易受到影响,呈现出风险净溢入的角色;但从风险冲击看,中国股市并不是联动亚太股市整体波动的源头,角色较为独立。结合上下行风险视角发现,两地区股市的上行风险总是显著大于下行风险,呈现出明显的非对称特征。但与亚太股市相比,中国股市风险值的波动更为剧烈。本文认为,辨析不同成因、来源的油价冲击,前瞻性预警亚太地区的油价波动风险,对于稳定我国股市、防范金融风险以及夯实我国在亚太地区的经济治理话语权具有重要意义。     

次贷危机下美国和全球股市之联动

本文选用NADCC-EGARCH模型研究了次贷危机影响下全球主要股票市场的反应,并捕捉到欧亚五个股市同美国股市联动关系的变化过程。实证显示,由美国次贷危机引发的金融危机造成了全球股票市场不同程度的动荡,出现熊市迹象。美国同全球股市间的联动关系在危机扩散后存在结构性变化,且欧洲、日本等成熟市场与美国市场的联动关系受美国股市负面消息的影响较大。中国虽受到一定程度的冲击,但是国内股票市场结构相对稳定。     

上海和香港两地股市联动性研究——基于GARCH模型的分析

本文基于经济基础假说和市场传染假说两大基础理论,将股票收益率分解为开盘收益率和收盘收益率,运用GARCH-M模型研究了上海股市和香港股市之间的联动关系。结果显示,两大股市存在相互影响的联动关系,但是上海对香港股市的影响要强于香港对上海股市的影响,反映出两地之间的紧密经济关系及大陆对香港地区经济影响日益增强的现实。     

人民币汇率与股票价格的联动效应——基于溢出和动态相关视角

本文基于格兰杰因果检验、BEKK模型和DCC模型分别从均值溢出、波动溢出和动态相关三个方面对人民币汇率与股票价格的联动效应进行研究,结果表明:我国汇市与股市之间存在波动的联动效应,汇率的波动会传导至股票市场,加剧股票市场的波动程度,增加股市的风险;同时股市的大幅波动也不可避免地影响人民币汇率的波动趋势.这就要求政府及相关部门决策者,既要重视外汇市场这一风险源头,减缓汇市对股市的波动冲击,也要加强对股市的政策调控,关注股市波动对汇市的影响,实行有效的风险控制和管理.     

上海和香港两地股市联动性研究--基于GARCH模型的分析

本文基于经济基础假说和市场传染假说两大基础理论,将股票收益率分解为开盘收益率和收盘收益率,运用GARCH．M模型研究了上海股市和香港股市之间的联动关系。结果显示,两大股市存在相互影响的联动关系,但是上海对香港股市的影响要强于香港对上海股市的影响,反映出两地之间的紧密经济关系及大陆对香港地区经济影响日益增强的现实。     

香港股市与内地股市的联动性研究

本文分3个阶段考察了香港回归以来,香港股市和内地股市之间的联动关系及其变化。协整分析表明,香港股市和内地股市之间存在长期的均衡关系,这种均衡关系在内地资本市场实行股权分置改革后更趋于稳定。Granger因果检验表明,香港回归以来香港股市和内地股市之间的引导关系在经历B股开放和股权分置改革后发生了变化。脉冲响应函数分析从动态的角度进一步验证了香港股市和内地股市之间的引导关系及其变化,并深入分析了单个变量的波动或冲击对其自身及另一变量的影响程度。     

中美贸易摩擦下汇市、股市和债市间的风险溢出效应研究

本文基于中美贸易摩擦视角下,选取2016年8月1日至2019年11月29日的美元/人民币汇率、沪深300指数和企债指数日频数据,结合VAR模型量化研究我国汇市、股市和债市间的风险溢出效应。结果发现:汇率冲击在短期内对股市具有正向作用,随后转为负冲击,而汇率对债市短期内均为负冲击,且汇率冲击对股市的影响程度相较于债市而言更大;债市易受其他两市的影响,但对汇市和股市的影响甚微。     

中国股票市场、债券市场和证券投资基金市场的动态相关性研究

本文基于向量自回归(VAR)模型,从投资收益波动性角度研究了我国股票、债券和基金市场分别在熊市、牛市、震荡市中的动态相关性,研究发现:股票市场、债券市场和基金市场的收益率在三种行情下基本都呈现双向的波动溢出效应,只是相互之间影响的程度、滞后持续时间和冲击的方向有所不同。股票市场收益率的波动主要来自本身系统性的风险,且对基金市场的影响大于基金市场对股市的影响。债券市场收益率波动主要受其自身波动影响,并在熊市中受股市波动的正影响,牛市中受基金市场负向影响,震荡市中同时受股市和基金市场的影响。而基金市场收益率在三种行情下主要受股市波动的正影响(90%以上),其次是自身市场波动的正影响(5%左右),受债券市场的影响最小。     

How do policy and information shocks impact co-movements of China’s T-bond and stock markets?

We investigate the impacts of policy and information shocks on the correlation of China’s T-bond and stock returns, using originally the asymmetric dynamic conditional correlation (DCC) model that allows for the coexistence of opposite-signed asymmetries. The co-movements of China’s capital markets react to large macroeconomic policy shocks as evidenced by structural breaks in the correlation following the drastic 2004 macroeconomic austerity. We show that the T-bond market and the bond–stock correlations bear more of the brunt of the macroeconomic contractions. We also find that the bond–stock correlations respond more strongly to joint negative than joint positive shocks, implying that investors tend to move both the T-bond and stock prices in the same direction when the two asset classes have been hit concurrently by bad news, but tend to shift funds from one asset class to the other when hit concurrently by good news. However, the stock–stock correlation is found to increase for joint positive shocks, indicating that investors tend to herd more for joint bullish than joint bearish stock markets in Shanghai and Shenzhen.     

Time-varying impacts of demand and supply oil shocks on correlations between crude oil prices and stock markets indices

This paper investigates the time-varying impacts of demand and supply oil shocks on correlations between changes in crude oil prices and stock markets returns. The findings, obtained by means of a DCC-GARCH from June 2006 to June 2016, indicate that demand shocks positively affected the correlations between crude oil prices and stock market returns from late 2007 to mid-2008, during the apex of the financial markets volatility; from early 2009 to mid-2013, during global economy recovery from the financial crisis; and after 2015, when uncertainties about the Chinese growth and the US economy upturning arose. The dynamic conditional correlation, obtained after the removal of demand shocks effects, presented an average value of 0.13 when all economy sectors were considered and of 0.03 when the energy sector returns were excluded from the stock index. These correlations, still positive on average, suggest that exogenous supply oil shocks had little impact on US mainly enterprises cash flows over the last 10 years. Exceptions are the periods from 2006 to financial crisis and from 2014 until April 2016, when significant and unpredicted changes in oil market happened, considerably affecting the value of the main US companies.     

The Impact of Oil Price Shocks on the Returns in China’s Stock Market

The main goal of this paper is to study the relationship between oil price shocks and mainland China’s stock market. From empirical study, we have found that the impact of oil price shocks on stock prices in China has been mixed. In contrast to the conventional wisdom that higher oil prices may cause lower stock prices, positive shocks to oil-market-specific demand resulted in both higher real oil prices and higher stock prices, which helps explain the boom of the Chinese stock market as oil prices were increasing in 2007. However, global oil demand and supply shocks had no significant effects.     

市场短期操纵行为与订单簿高频信息的关联研究——基于中国市场的实证分析

利用2016年11和12月中国A股市场的5秒高频数据,考量订单簿斜率指标与资产价格之间的关系。结果显示：订单簿斜率指标对存在于高频环境中的市场异象有着较好的解释力。由于订单簿斜率指标在不同市值条件下呈倒挂现象,且买卖订单簿斜率指标与资产价格呈现不同的相关关系。因此,订单簿斜率能在一定程度上捕捉市场操纵行为的信号。该研究有助于更好地理解中国股票市场中的操纵行为,也可为预警机制的建设提供有效的指标选择。     

Asymmetric Labor Market Institutions in the EMU and the Volatility of Inflation and Unemployment Differentials

How does the asymmetry of labor market institutions affect the adjustment of a currency union to shocks? To answer this question, this paper sets up a dynamic currency union model with monopolistic competition and sticky prices, hiring frictions, and real wage rigidities. In our analysis, we focus on the differentials in inflation and unemployment between countries, as they directly reflect how the currency union responds to shocks. We highlight the following three results. First, we show that it is important to distinguish between different labor market rigidities as they have opposite effects on inflation and unemployment differentials. Second, we find that asymmetries in labor market structures tend to increase the volatility of both inflation and unemployment differentials. Finally, we show that it is important to take into account the interaction between different types of labor market rigidities. Overall, our results suggest that asymmetries in labor market structures worsen the adjustment of a currency union to shocks.     

宏观经济信息与金融市场关联性——来自混频动态条件相关系数模型的证据

宏观经济信息是金融市场之间相互传递的重要信息内容,有效利用宏观经济信息是否有助于更好地理解金融市场关联性？为此,本文运用混频动态条件相关系数(DCC-MIDAS)模型分析了我国四个重要金融市场之间的动态相关性如何受到纳入的宏观经济信息的影响。结果发现:(1)工业增加值和货币供应量M2负向影响金融市场关联性,经济政策不确定性和通货膨胀水平反之。前三者是影响金融市场关联性较为重要的因素,而通货膨胀的重要性相对较低;(2)宏观经济信息作为市场关联性的长期成分相较基于市场信息的模型可以获得至少1.45%的效率提升。(3)工业增加值和通货膨胀对金融市场关联性的影响较为稳健,货币供应量M2和经济政策不确定性的影响表现出周期性特征。经济上行阶段工业增加值、货币政策信息带来的效率提升更为明显,经济下行阶段政策不确定性相对重要。本文研究结论对于加强金融监管协调和防范金融市场风险共振具有参考价值和指导意义。     

基于MF-DCCA方法的证券市场间交叉相关性研究

运用多重分形去趋势波动交叉相关分析法(MF-DCCA),考量上海证券市场和香港证券市场之间的交叉相关关系。实证表明：上海证券市场和香港证券市场之间存在交叉相关性,且呈现出多重分形特征;当证券市场出现较大的波动时,上海证券市场和香港证券市场的交叉标度指数要大于其平均标度指数,即两个证券市场之间的交叉相关性要大于其自相关性。     

在岸人民币市场与香港离岸人民币市场联动关系的实证研究

作为国际金融中心,香港为内地的发展提供了举足轻重的金融服务。近年来,我国政府力推人民币国际化,具有完备金融市场的香港成为构建离岸人民币中心、促进人民币国际化进程的排头兵。香港已经建成了规模庞大的离岸人民币市场,这一市场的波动和走势对在岸人民币市场的干扰和影响不可轻视,关乎在岸人民币市场的稳定和国家金融安全。文章分析了在岸人民币市场即期汇率、远期汇率与香港离岸人民币市场即期汇率、远期汇率之间的关系,发现两两之间并不总是存在引导关系。     

Labor Market and Financial Shocks: A Time-Varying Analysis

We estimate a time-varying VAR model to analyze the effects of a financial shock on the U.S. labor market. We find that a tightening of financial conditions is highly detrimental to the labor market. We show that while negative financial shocks have been responsible for increases in unemployment, our model does not find significant contributions of financial shocks during periods of expansion. The source of this asymmetry is the time-varying standard deviation of the identified shock, which is higher in times of financial distress; on the other hand, we find that the transmission mechanism does not significantly change over time.     

The Cyclic Behavior of the Greater London Office Market

This paper applies structural econometric methodology to estimating and forecasting the greater London office market. We assemble a time series covering the 1970–1995 period and estimate equations for net space absorption, movements in rents, and new building orders. Together with two identities, calculating the stock and vacancy, these form a complete model. We estimate a generally inelastic supply and demand relationship that yields a dynamically stable system. Without unanticipated economic shocks, the market is noncyclic. Therefore the building boom of the 1980s largely is delayed response to the huge growth in service jobs that occurred over that period.