基金激励机制的变化对股市波动的影响研究

依据中国基金激励机制经历的四个阶段,将1998年4月7日～2011年6月30日分成四个时间段。采用EGARCH-M模型并引入虚拟变量对不同时间段的激励机制进行比较研究,发现在中国基金市场中,固定比率的管理费激励机制对股市波动的影响最小。因此,从股市稳定的角度来说,中国基金市场应采取固定比率的管理费激励机制。     

我国股市波动对货币政策的效应分析

随着我国股票市场的建立与发展,货币政策实施的环境发生了很大变化。本文经过实证分析,发现1993年以来我国股市波动对货币政策执行效果具有随机性的双重效应。我国股市的过度投机行为,转轨时期的特殊经济环境引起公众心理预期变化和收入差距拉大是造成我国股市波动对货币政策效果产生随机效应的具体原因。为提高我国货币政策的有效性,央行应将股市波动对货币政策的影响纳入可控的范围之内。     

固定费用结构下基金经理管理费激励研究

基于经理的努力水平和风险规避程度是基金经理费设计的关键因素,构建固定费率结构下基金经理努力及风险选择的模型,结合我国基金样本数据进行了实证研究结果表明:管理费与基金业绩无显著正相关性,且低业绩的基金体现出较高的管理费率;管理费与基金风险具有显著的正相关关系。     

宏观经济波动对企业绩效的影响研究 ——基于企业家信心中介效应的视角

本文从企业家信心的角度,利用中介效应模型,检验宏观经济波动对企业绩效的影响以及该影响与企业家信心的关系,研究结果表明:宏观经济波动对企业绩效具有正向作用,并且非国有企业绩效对宏观经济波动更为敏感;企业家信心在宏观经济波动影响企业绩效的过程中发挥了中介效应,宏观经济扩张时通过增强企业家信心从而提高企业绩效,宏观经济紧缩时...     

经济政策不确定性对股市收益率的影响——基于投资者情绪的中介效应检验

经济政策不确定性不仅会直接对股市产生影响,而且还会通过投资者情绪间接对股市产生影响。本文通过理论分析和实证检验,分析了投资者情绪在经济政策不确定性对股市收益率影响过程中所发挥的中介效应。并将经济政策不确定性分为四类,进一步探究投资者情绪在不同类型不确定性间存在的差异性影响。研究表明,经济政策的频繁变动会诱发投资者产生悲观情绪,而股票市场收益率又会因受到投资者负面情绪的影响而下降,最终导致不确定性对股票市场的冲击会部分通过投资者悲观情绪渠道传递。此外,不同类型经济政策不确定性对股市收益率影响存在差异性。其中,货币政策不确定性对股市收益率的抑制作用最强,且影响效果会通过投资者情绪进行传导;其次是汇率政策,政策调整效果也会通过投资者情绪进行传导;而贸易和财政政策不确定性对股票市场的影响相对来说较小,影响效果不显著。     

中国股市波动率的年线效应

本文以上证综合指数年线作为标准,把股市划分为牛市和熊市两种状态,并采用ARMA-EGARCH-M模型分别研究了牛市和熊市的股市波动率,称为年线效应。通过实证分析,得到以下主要结论：无论是牛市还是熊市,中国股市的日历效应都不显著;熊市的收益率序列几乎不存在任何的序列相关性;牛市波动率更容易受到坏消息的影响,而在熊市中,好消息的影响较大。如果不对消息内容进行区分,牛市会更容易受消息的冲击,加剧市场波动;而熊市中好消息和坏消息对市场波动的影响并不存在显著的差别。     

金融危机对中国股市波动影响的实证研究——基于GARCH模型族的分析

针对2008年由美国次贷危机引起的一场全球金融危机,利用GARCH模型族方法对金融危机前后中国股票市场的波动特征进行比较研究。本文首先对GARCH模型误差项的选择进行了比较,然后采用GARCH模型族对上证综指对数日收益率波动性进行分析研究。结论显示:上证综指的日收益率序列在金融危机前后均表现出波动的集群特征和"杠杆效应";金融危机之前,中国股市符合高风险高收益的特征,而金融危机之后,高风险并不意味着高收益;金融危机发生后,股票市场波动的持续性和长期记忆性减弱,意味着股票市场短期波动加大,短期风险增加。     

我国汇市与股市之间的价格和波动溢出效应实证研究

为了考察我国汇市与股市之间的价格和波动溢出效应,本文利用"汇改后"人民币对美元的汇率与上证综指的日数据建立了多元向量自回归模型GARCH模型.研究发现,我国汇市与股市之间的价格溢出效应不明显,汇率波动率的ARCH效应不对股票市场产生显著的冲击,外汇市场波动的持久性会对股票市场产生显著的影响;股票收益率的ARCH效应不会对外汇市场产生明显的冲击,但股票收益率波动的持久性会显著影响汇率的变化率.     

中国股市波动影响因素分析

中国股票市场经过十五年的快速发展,已经有1400余只公司股票上市,市价总值最高近7万亿元,流通市值最高也近2万亿元,股票投资日益成为个人和机构的主要投资工具之一,股票价格的波动对居民和公司的资产变动的影响日益扩大,对国民经济的影响日益加深,因而成为人们关注的焦点。本文试图对宏观因素-经济周期和微观因素-资本供求等方面来对决定股票价格波动的因素进行分析。     

中国股市与汇市的波动溢出效应研究

以上证综合指数和人民币兑美元名义汇率为指标,运用多元GARCH模型对中国股票市场和外汇市场之间的波动溢出效应进行的实证研究表明,汇率制度改革后,我国股市与汇市存在显著的双向波动溢出效应,汇市对股市表现出较强的波动传导,而股市对汇市的波动传递相对较弱,存在着波动传导的非对称性。     

Do exchange‐traded fund flows increase the volatility of the underlying index? Evidence from the emerging market in China

Studying 70 Chinese equity exchange‐traded funds (ETFs), we show that daily ETF flows significantly increase both the total volatility and the fundamental volatility of the underlying index on the next trading day. More specifically, it is the forward‐looking flow component which captures APs’ share creation/redemption activities beyond their role of market makers that can significantly predict the two types of volatility. Moreover, ETF arbitrage (ETF's information share) enhances the effect of forward‐looking flows on the total volatility (fundamental volatility) of the index. Furthermore, the relationships between forward‐looking flows and the two types of index volatility show a two‐way contagion.     

Forecasting stock market volatility: Further international evidence

Abstract

This paper evaluates the out-of-sample forecasting accuracy of eleven models for monthly volatility in fifteen stock markets. Volatility is defined as within-month standard deviation of continuously compounded daily returns on the stock market index of each country for the ten-year period 1988 to 1997. The first half of the sample is retained for the estimation of parameters while the second half is for the forecast period. The following models are employed: a random walk model, a historical mean model, moving average models, weighted moving average models, exponentially weighted moving average models, an exponential smoothing model, a regression model, an ARCH model, a GARCH model, a GJR-GARCH model, and an EGARCH model. First, standard (symmetric) loss functions are used to evaluate the performance of the competing models: mean absolute error, root mean squared error, and mean absolute percentage error. According to all of these standard loss functions, the exponential smoothing model provides superior forecasts of volatility. On the other hand, ARCH-based models generally prove to be the worst forecasting models. Asymmetric loss functions are employed to penalize under-/over-prediction. When under-predictions are penalized more heavily, ARCH-type models provide the best forecasts while the random walk is worst. However, when over-predictions of volatility are penalized more heavily, the exponential smoothing model performs best while the ARCH-type models are now universally found to be inferior forecasters.     

Interdependence and Volatility Spillovers Under Market Liberalization: The Case of Istanbul Stock Exchange

This paper analyzes stock returns and volatility relations between the Istanbul Stock Exchange (ISE) and the global market as represented by stock markets in the US, the UK, Japan and Germany. Results from monthly data and multivariate cointegration tests suggest that the ISE became significantly integrated in the global market only in the period following market liberalization in late 1989. We also find evidence based on GARCH estimations that capital liberalization actually mitigated, rather than intensified, volatility in the ISE. Our results further suggest that the Asian crisis in mid‐1997 and the consequent Russian economic meltdown in mid‐1998 are partly responsible for the recent excessive volatility in the Turkish market. The results also identify the US and the UK markets as dominate sources of volatility spillovers for the ISE, even in the period following the Asian‐Russian crises. Consequently, it appears that the two matured markets of the US and the UK shoulder significant responsibility for the stability and financial health of smaller emerging markets like the ISE.     

Pre-holiday effects: International evidence on the decline and reversal of a stock market anomaly

The pre-holiday effect is one of the best known of the calendar effect anomalies. This paper extends prior work by examining whether the effect has declined for the U.S., U.K. and Hong Kong markets. For all three markets, the effect is shown to have declined, but only significantly in the U.S. The result is not surprising given the relative sophistication of the market. What is surprising, however, is the reversal of the pre-holiday effect during the period 1991–1997, with the mean return on pre-holiday days becoming negative, and the subsequent elimination of this effect during 1997–2003.     

基金经理更换、股票联动与股票价格

基金经理更换打破了基金共同持股投资组合中股票的关联性,降低了股票收益率相关性,进而影响了股票价格。本文基于基金共同持股和基金经理更换构建了对冲投资组合,获得0.1%的日超额收益率。基金投资组合中股票收益率相关性能够解释这种超额收益率,本文发现基金更换经理后,新基金经理重建投资组合,打破了原投资组合中股票间的关联,股票收益率相关性减弱,基金共同持股程度高的股票价格受到了更大影响。基金的被动流动性冲击不能解释本文的发现。本文的研究表明基金经理变更等基金管理行为通过股票收益率相关性对股票价格产生了重要影响。     

News sentiment and the investor fear gauge

This note examines the relationship between aggregate news sentiment and changes in the implied volatility index (VIX). A significant negative contemporaneous relationship between changes in VIX and news sentiment is discovered. The relationship is asymmetric whereby changes in VIX are larger following the release of negative news items.     

The maturity effect of stock index futures: Speculation or carry arbitrage?

Using the implementation of trading restrictions on CSI 300 index futures market as a quasi-natural experiment, this paper examines the maturity effect of stock index futures and its determinants. The results show that the maturity effect changes from weakly positive to significantly negative after trading restrictions are implemented. We find that the change in the maturity effect is rooted in the speculative effect, which is measured by the time pattern of price sensitivity to information, while there is a lack of support for the carry arbitrage effect on the maturity effect of index futures. Our findings provide an opportunity to better understand volatility dynamics in the equity futures market.