基于GARCH模型的认购权证与认沽权证波动率比较研究

波动性是经济和金融研究的热点问题。本文分别采用无条件波动度量方法和条件波动模型对我国权证市场上具有代表性的六支权证的波动性进行估计,得出以下几个结果:1、六支权证基本上都存在不同程度的波动聚类现象。2、认沽权证的市场有效性弱于认购权证。3、认购权证的波动持续性大于认沽权证,说明认沽权证投机性更强,风险更大。4、认购权证的风险收益补偿大概是认沽权证的6倍。最后,结合本文研究,将给广大投资者一些投资建议。     

出口贸易及其名义汇率与实际汇率风险——基于中国对主要贸易伙伴国面板数据的实证研究

本文采用中国对28个主要贸易伙伴国出口的面板数据,对比分析了2005年汇改前后人民币名义汇率波动风险和实际汇率波动风险对中国出口的影响.通过实证研究后发现:无论是汇改前还是汇改后的人民币实际汇率波动风险对中国的出口均未产生显著影响;而汇改后,人民币名义汇率波动风险却对中国的出口产生了显著的负向影响.由此可见,相对于实际汇率波动风险而言,名义汇率波动风险对中国出口的影响更显重要.     

Volatility,growth and cycles

The paper investigates the factors affecting the equilibrium level of output in a panel of European countries. Output depends on factor inputs and on the technology and the efficiency with which those factors are used. Efficiency may be driven by international conditions and institutional changes such as the Single Market Programme in Europe. The technology indicators used in this study depend upon research and development and also include the level of labour efficiency which is indexed on skills data. The level of the capital stock depends upon the user cost of capital, which may depend upon risk and hence on the volatility of the economy. Recent literature suggests that real exchange rate volatility is important in determining investment and therefore has an impact on equilibrium output. A link of this form is uncovered for the European economies. If policy can reduce these volatilities then it can also raise equilibrium output.

羊群效应对股指波动率的影响分析

投资者行为对资本市场的稳定性影响是行为金融学关注的热点问题之一。本文以浦发银行股票为研究对象,首先,利用羊群行为的程度作为度量羊群行为的数量标准,通过建立ARCH模型,对浦发银行股票是否存在羊群效应进行统计检验,结果表明浦发银行股票存在显著的羊群效应。其次,通过建立线性回归模型分析了羊群行为对股票波动性的影响。实证研究表明,股票的羊群行为程度与股票指数波动率成正相关关系。     

Volatility in productivity and the impact on unemployment

Volatility, and the uncertainty it creates, has long been recognized as a factor in economic decision making. Since hiring occurs before shocks to productivity are realized, firms’ investment in new labour is inherently risky. How large a role uncertainty in productivity has on aggregate unemployment is an empirical question that we attempt to answer. In this paper we measure the impact of higher volatility in labour productivity on the unemployment rate in the U.S. economy using a SVAR-GARCH-M model. Using the conditional standard deviation of productivity innovations from a multivariate GARCH model to measure uncertainty, we provide compelling evidence that unemployment increases with volatility. This estimated relative effect is actually larger for positive productivity shocks leading to unemployment declines only 60% as large as would have occurred using models that exclude uncertainty.     

Volatility of capital flows and financial liberalization: Do specific flows respond differently?

This paper examines the volatility of capital flows following the liberalization of financial markets. Utilizing a panel data set of overlapping data, the paper focuses on the response of foreign direct investment, portfolio flows, and other debt flows to financial liberalization. The financial liberalization variable comes from the chronology and index developed by Kaminsky and Schmukler [Kaminsky, G.L. and Schmukler, S.L., 2003, Short-run pain, long-run gain: The effects of financial liberalization, IMF Working Paper WP/03/34.]. Different types of capital flows are found to respond differently to financial liberalization. Surprisingly, portfolio flows appear to show little response to capital liberalization while foreign direct investment flows show significant increases in volatility, particularly for the emerging markets considered.     

Volatility forecasting: long memory,regime switching and heteroscedasticity

In this article, we account for the first time for long memory, regime switching and the conditional time-varying volatility of volatility (heteroscedasticity) to model and forecast market volatility using the heterogeneous autoregressive model of realized volatility (HAR-RV) and its extensions. We present several interesting and notable findings. First, existing models exhibit significant nonlinearity and clustering, which provide empirical evidence on the benefit of introducing regime switching and heteroscedasticity. Second, out-of-sample results indicate that combining regime switching and heteroscedasticity can substantially improve predictive power from a statistical viewpoint. More specifically, our proposed models generally exhibit higher forecasting accuracy. Third, these results are widely consistent across a variety of robustness tests such as different forecasting windows, forecasting models, realized measures, and stock markets. Consequently, this study sheds new light on forecasting future volatility.     

Volatility spillovers and the price of risk: Evidence from the Swiss stock market

This paper investigates the behavior of the risk premium on the Swiss stock market. The risk premium consists of two components, which are estimated separately: the amount of volatility and the unit price of risk. By estimating a bivariate GARCH-M model the volatility of the Swiss market is found to be strongly exposed to spillovers from the other major financial markets. To estimate the unit price of risk a Kalman filter procedure is employed, which allows for variability in this variable. Investors place a high price on risk, when the market is considered `expensive'. First version received: March 1998/final version received: July 1998     

Volatility forecasting: combinations of realized volatility measures and forecasting models

This article examines financial time series volatility forecasting performance. Different from other studies which either focus on combining individual realized measures or combining forecasting models, we consider both. Specifically, we construct nine important individual realized measures and consider combinations including the mean, the median and the geometric means as well as an optimal combination. We also apply a simple AR(1) model, an SV model with contemporaneous dependence, an HAR model and three linear combinations of these models. Using the robust forecasting evaluation measures including RMSE and QLIKE, our empirical evidence from both equity market indices and exchange rates suggests that combinations of both volatility measures and forecasting models improve the forecast performance significantly.     

不确定性下的房地产价格波动与货币政策反应:一个文献综述

本文就货币政策如何应对房地产泡沫的研究文献进行述评。国内外学者在该领域的争论集中表现为间接反应观、事后反应观与直接干预观,已有文献对货币政策框架进行修正以应对房价异常波动,并且学者们就金融监管的作用已经达成理论共识。本文的主要结论是:政策环境中的不确定性是影响政策选择的决定性因素,在不确定性条件下,货币政策应该综合运用直接干预与间接反应方式应对房价泡沫;货币政策与金融审慎监管的协调配合有助于实现经济金融稳定的目标;运用房贷政策调控房价泡沫更具政策效力。目前,国内学者的理论研究基础还十分薄弱,缺乏结合中国经济转型背景下特定制度性因素的现实考察,另外,将研究视角拓展为开放经济条件是值得进一步研究的方向。     

Home is Where You Know Your Volatility – Local Investor Sentiment and Stock Market Volatility

Using a new variable to measure investor sentiment we show that the sentiment of German and European investors matters for return volatility in local stock markets. A flexible empirical similarity (ES) approach is used to emulate the dynamics of the volatility process by a time‐varying parameter that is created via the similarity of realized volatility and investor sentiment. Out‐of‐sample results show that the ES model produces significantly better volatility forecasts than various benchmark models for DAX and EUROSTOXX. Regarding other international markets no significant difference between the forecasts can be observed.     

融券卖空与股价异质性波动

以2010—2018年融资融券标的数据为初始研究样本,考察了卖空交易对股价异质性波动的影响及企业成长性在其中发挥的调节作用.研究结果表明:首先,卖空交易抑制了股价异质性波动,在缓解内生性问题后,该结论依然稳健;其次,卖空交易对股价异质性波动的抑制效应在高成长性企业中表现更加明显;最后,卖空交易主要通过改善企业信息透明度来对股价异质性波动产生抑制效应.上述研究结论意味着,在风险可控的前提下,我国应该进一步降低卖空交易门槛.     

汇率波动与国际贸易量的不确定性关系-基于中国的经验证据

对于汇率波动与国际贸易量的关系,学界一直存有很大争议,但经验检验尚不足以为理论分析提供有说服力的证据。本文着重在如下三个细节方面做深做细:第一,更精确地测算汇率波动,发现并注重汇率波动对冲击可能存在的非对称特征;第二,以严格的内生性检验指导工具变量的应用;第三,模型设定采用联立方程同时考察出口需求和供给。文章发现,无论是贸易方向上还是贸易方式上,均没有理由认为汇率波动显著影响了出口需求,但汇率波动却显著抑制了中国的出口供给。     

异质预期、噪声交易与价格波动

自20世纪80年代开始迅速发展起来的行为金融理论认为,作为具有丰富心理活动的真实的人,金融市场中的投资者普遍存在各种认知偏差、情绪偏差和意志偏差,从而导致了他们的投资决策偏差和金融资产的定价偏差,投资者的噪声交易能够对资产价格产生重要影响。本文基于噪声交易模型的框架构建了一个包含理性套利者、信息挖掘者和动量交易者这三类异质投资者在内的噪声交易理论分析模型,在模型中引入了一系列与投资者行为特征相对应的重要行为参数,然后推导出由这三类异质投资者共同决定的风险资产均衡价格,最后通过灵敏度分析来综合讨论这三类异质投资者的一些重要行为参数对均衡价格的影响。结果表明,理性套利者确实能够起到稳定市场的作用,但是当噪声交易者在市场中的比例较大时,资产价格会较大程度地偏离其基本价值。     

国内油价市场波动的ARCH模型分析

本文运用1997年1月-2008年8月中国国内原油（大庆）的FOB即期价格周数据,应用ARCH类模型对我国国内油价的波动率进行了研究。研究结果表明,我国国内原油价格收益率序列呈现明显的GARCH效应,国内油价波动受国际油价的冲击性较高,并呈现较长的持续性。为此我国应尽快建立现代石油市场体系,并加强石油利用率,以积极应对国际油价的变化。     

Volatility trade-offs in exchange rate target zones

The volatility trade-offs (i.e. the negative relationships between exchange rate variability and the interest rate differential) exhibited in the Krugman [Krugman, P. (1991). Target zones and exchange rate dynamics. Quarterly Journal of Economics, 106, 669–682.] model depend on the assumption of uncovered interest rate parity (UIP). However, the bands for several economies in Latin America and Eastern Europe are substantially different from those within the European Monetary System (EMS), in that their parity relationship deviates from UIP and volatility trade-offs do not exist. This paper develops a graphical exposition and uses it to show that the degree of capital mobility may serve as a plausible vehicle to explain the empirical evidence found in Krugman's regime of exchange rate target zones. Based on a Fleming-type stochastic macro model, we find that when capital mobility is relatively low, exchange rate variability exhibits a positive relationship with the interest rate differential. This result can be regarded as a possible way of resolving the conflicting outcomes between Krugman's prediction and existing empirical observations.     

中国封闭式基金价格报酬过度波动的经验分析

本文研究了中国封闭式基金价格报酬与净资产报酬的数据特征及其影响关系 ,主要的结果是 :( 1 )中国封闭式基金的价格报酬相对于基金的净资产报酬一方面存在过度波动 ,另一方面又存在反映不足 ;( 2 )通过检验表明 ,投资者情绪风险对价格报酬过度波动具有显著的影响 ,而Fama的三因素风险因子对价格报酬的过度波动几乎没有解释力 ;( 3 )封闭基金价格报酬的过度波动表明 :由于投资者行为使基金股票价格相对于基金净值存在额外的系统风险 ,封闭式基金折价正是对这种系统风险的一种补偿。     

The Information Environment,Informed Trading,and Volatility

The relation between informed trading and volatility is analyzed using the change in the proportion of informed transactions calculated through the probability of informed trading variable. The analysis relates to the Spanish market during 1997–2010, given that the Spanish market covers a very diverse range of listed companies. Some companies are comparable to companies listed on U.S. markets while others are smaller in size and have a lower trading volume and inferior quality of information. The methodology is based on a modification of the model proposed by Avramov, Chordia, and Goyal [2006 Avramov, D., T. Chordia, and A. Goyal. “The Impact of Trades on Daily Volatility.” Review of Financial Studies, 19, (2006), pp. 1241–1277.[Crossref], [Web of Science ®] , [Google Scholar]]. The authors’ proposal incorporates the change in the proportion of informed transactions, calculated with intraday data, into the volatility model. The results are also presented using a conditional volatility model in which the change in the proportion of informed transactions is incorporated. These results attest to the influence of informed trading as a price-stabilizing factor in heavily traded and highly capitalized stocks (familiar stocks). Informed trading leads to a marked decrease in volatility for these particular stocks both in periods of calm and crisis.     

金融资产收益率波动预测——基于我国股票市场跳跃行为研究

金融资产收益率波动是资产定价和金融风险管理的核心部分,而跳跃是收益率波动中的重要组成部分。基于修正Z-检验,本文检测识别我国股市波动中跳跃行为,并且研究了跳跃的时序特征,统计结果表明,在市场大波动时期,和连续成份相比,跳跃对于波动率具有极其重要的贡献。建立包含跳跃的已实现波动率非齐次自回归模型,在波动模型中纳入滞后绝对日收益率和杠杆效应预测股指收益率波动。实证分析结果显示,对于短期的波动预测,包含跳跃和两种影响因素的波动模型表现最好,然而对于提前1月的长期预测,跳跃和连续波动成份分离模型预测明显优于其它模型,这些事实说明跳跃对股指波动率预测具有重要的影响,好坏消息对波动率非对称性具有短期显著影响,而对长期水平的波动率预测影响不显著。     

Volatility spillovers and determinants of contagion: Exchange rate and equity markets during crises

We study the hourly volatility spillover between the equity markets of New York (DJI), London (FTSE 100) and Tokyo (N225) and their exchange rates (USD, EUR, GBP and JPY) for the period of 2001 through 2013 covering the non-crises period, the global financial crisis and the euro debt crisis. First, we find a general increase in spillover between the equity and exchange rate markets during the crisis periods. Second, pure contagion (attributable to irrational investors’ behavior) and fundamental contagion (measured by macroeconomic fundamentals) explains the increased spillover between the FTSE 100, N225 to the DJI during the global financial crisis and from the exchange rate markets to the DJI during the euro debt crisis.