机构投资者持股与股票收益波动性——基于机构重仓股的分阶段实证研究

以2003年第4季度至2011年第2季度机构投资者持股比例超过5％的上市公司为样本,根据证券投资基金总资产净值变动的状况把机构投资者发展历程分为平缓发展期、高速发展期和调整发展期,运用面板数据模型研究机构投资者持股对上市公司股票收益波动性的影响.研究发现,在平缓发展期,机构投资者持股比例与股票收益波动性无关,持股比例变动降低了股票收益波动性;在高速发展期和调整发展期,不管是机构投资者持股比例还是持股比例变动,均与上市公司股票收益波动性正相关.     

基于语义聚类的创意价值评估指标提炼与体系构建

通过搜集创意大赛公告文本,运用语义聚类方法提炼创意评价指标,构建了由5个一级指标、13个二级指标构成的创意价值评估指标体系,该体系分别从新颖性、表观性、功能性、环保性、可行性5大方面测算创意综合价值。该创意价值评估指标体系在经过算式化后,特别适用于创意爆炸时代对海量创意价值的快速评估,进而有助于从中快速发现和筛选高价值创意。     

The source of global stock market risk: A viewpoint of economic policy uncertainty

This study explores the effect of economic policy uncertainty (EPU) in four countries or regions (China, Japan, Europe, and the United States) on the contagion risk of investments in the global stock market. The stock returns of 22 stock markets worldwide are analyzed to determine which region’s EPU exhibits the greatest effect on regional systematic risk in the global stock market and on volatility risk in individual stock markets. First, all of the samples, the markets of different continents and the spillover indices of the developed and emerging markets, are calculated to observe the dynamic correlation among these markets with the aim of quantifying regional systematic risk and further examining the contagion risk effect of EPU. The results indicate the following: EPU in China is the most influential, and its contagion risk spreads to different regional markets, except for Europe; the effect of EPU in the United States is inferior to that in China; EPU in Japan merely influences contagion risk in emerging markets; contagion risk in European markets is not influenced by the four EPU indices; and EPU in Europe is not influenced by contagion risk in the global stock market. However, according to the volatility risk in each market, the EPU in Europe and China respectively influence Asian countries and European countries the most. These results may be attributable to the extremely high trade dependence among these countries because the performance of international enterprises is mainly determined by the economic policies of their trading partners.     

融资融券对我国期指市场影响的实证研究

以融资融券对我国期指市场的影响为对象进行实证研究,发现融资融券对期指市场当日成交金额产生负向影响,对期指市场当日持仓量产生正向作用;融资融券交易与期指市场波动性之间不存在长期稳定的协整关系,也不存在确定的线性关系;融资融券交易对期指市场当日成交金额并不存在统计意义上的因果引致关系,当日融券余额与期指市场当日持仓量存在双向因果引致关系,期指市场波动性是融券余额的单向因果引致关系。因此,扩大融资融券标的范围与可供借贷证券池,发展有利于中小投资者参与的、与融资融券交易有关的风险对冲套利金融产品是我国证券市场转型的重要举措。     

The role of permanent and transitory components in business cycle volatility moderation

The paper examines the processes underlying economic fluctuations by investigating the volatility moderation of U.S. economy in the early 1980s. We decompose the volatility decline using a dynamic factor framework into a common stochastic trend, common transitory component and idiosyncratic components. We find that the moderation of business cycle was a result of the moderation in transitory and idiosyncratic components. Our results suggest that important part of stochastic process that drives economy is transitory. The paper investigates the role of oil prices, monetary and financial market factors. Proposed economic factors do not have a significant relationship to either transitory or permanent components. In addition, we find that transitory shocks are as common during the 1980s and 1990s as they were during the 1960s and 1970s.

Forecast on silver futures linked with structural breaks and day-of-the-week effect

Silver future is crucial to global financial markets. However, the existing literature rarely considers the impacts of structural breaks and day-of-the-week effect simultaneously on the volatility of silver future price. Based on heterogeneous autoregressive (HAR) theory, we establish six new type heterogeneous autoregressive (HAR) models by incorporating structural breaks and day-of-the-week effect to forecast the volatility. The empirical results indicate that new models’ accuracy is better than the original HAR model. We find that structural breaks and the day-of-the-week effect contain much forecasting information on silver forecasting. In addition, structural breaks have a positive effect on the silver futures’ volatility. Day-of-the-week effect has a significantly negative influence on silver futures’ price volatility, especially in the mid-term and the long-term. Our works is the first to combine the structural breaks and day-of-the-week effect to identify more market information. This paper provides a better forecasting method to predict silver future volatility.     

Exchange rate volatility and regime change: A Visegrad comparison

We analyze exchange rate volatility in the Visegrad Four countries during the period in which they abandoned tight regimes for more flexible ones. We account for path dependency, asymmetric shocks, and movements in interest rates. In addition, we allow for a generalized error distribution. The overall findings are that path-dependent volatility has a limited effect on exchange rate developments and that the introduction of floating regimes tends to increase exchange rate volatility. During the period of flexible regimes, volatility was mainly driven by surprises. Asymmetric effects of news tend to decrease volatility under the floating regime. Interest differentials impact exchange rate volatility contemporaneously under either regime, although we find no intertemporal effect of interest differentials. Journal of Comparative Economics 34 (4) (2006) 727–753.     

Real income convergence and the patterns of financial integration in the EU

We analyse real income convergence among the EU28 countries throughout 1995–2017 and the relationship with the convergence patterns of financial systems. We apply the nonlinear latent factor model of Phillips and Sul (2007, 2009) to real incomes and the IMF financial development indices for financial markets and financial institutions (Svirydzenka, 2016), and identify convergence clubs endogenously. We have several results. First, income disparities narrowed significantly over the last twenty years; yet, the growth convergence process lost momentum triggered by the global financial crisis and countries legacies shaped up asymmetries that have crystallised. Second, countries' financial systems exhibit high fragmentation, especially for financial markets, with the new EU member states at a lower financial development, confirming the existence of a two-tier Europe. Overall, the convergence patterns for real incomes and financial development are strongly correlated. Finally, the financial structure matters and market-oriented economies feature higher long-run growth, indicating the need to implement pan-European policy actions that increase the opportunities of risk diversification, enhance capital raising and channel large-scale financing to firms.     

Information transmission between large shareholders and stock volatility

Does information transmission between large shareholders exacerbate stock volatility or reduce stock volatility? In this study, based on the common shareholding data in the Chinese stock market from 2007 to 2017, we establish the shareholder’s coshareholding network, and use the weighted network clustering coefficient to measure the information transmission speed. Moreover, we investigate the impact of information transmission speed on stock volatility. The empirical results show that a nonlinear U-shaped relationship exists between information transmission speed and stock volatility. The findings are robust to the inclusion of other determinants of stock volatility identified in the literature. Finally, we verify the existence of private information interaction in the coshareholding network.     

Multivariate volatility forecasts for stock market indices

Volatility forecasts aim to measure future risk and they are key inputs for financial analysis. In this study, we forecast the realized variance as an observable measure of volatility for several major international stock market indices and accounted for the different predictive information present in jump, continuous, and option-implied variance components. We allowed for volatility spillovers in different stock markets by using a multivariate modeling approach. We used heterogeneous autoregressive (HAR)-type models to obtain the forecasts. Based an out-of-sample forecast study, we show that: (i) including option-implied variances in the HAR model substantially improves the forecast accuracy, (ii) lasso-based lag selection methods do not outperform the parsimonious day-week-month lag structure of the HAR model, and (iii) cross-market spillover effects embedded in the multivariate HAR model have long-term forecasting power.