中国权证上市日和到期日效应的实证研究

文章选取2007年6月30日之前到期的18只权证为研究对象，以权证所对应的正股价格日收益率、交易量日增长率、日超常收益率比和日超常交易量比等为考察指标，对我国权证的上市日效应和到期日效应进行了实证分析。得出的结论是：在5％显著性水平上，以一天为时间间隔，我国权证的上市日效应和到期日效应均不显著。     

金融危机时期公允价值计量对股票收益率和市场波动性的相关性研究

文章研究我国A股非金融类上市公司在金融危机时期,公允价值计量的资产和损益对股票收益率和市场波动性的影响。文章选取2007年第4季度-2009年第2季度7个季度的面板数据,运用固定效应模型进行回归分析,结果表明:公允价值计量的资产对股票收益率有显著影响,公允价值计量的损益的会计信息没有反映在股价上,对股票收益率无显著影响;公允价值计量的资产和损益都没有加剧市场波动,反而降低了市场波动,即公允价值在我国没有起到金融危机助推器的作用。     

我国权证上市对标的股票的波动性影响研究

权证是基于标的股票产生的一种金融衍生产品,其与标的股票之间存在联动关系,因此,权证上市会对标的股票产生一定的影响。本文将通过EGARCH模型研究权证上市前后标的股票波动性的变化,据此探讨权证上市给标的股票波动性带来何种影响。     

沪铝期货收益率及波动性的研究

本文通过对上海铝期货收益率的分布与波动性进行实证研究,论证了其时间序列存在ARCH效应;同时利用ARIMA(0,1,1)-GARCH(1,1)模型、TGARCH和EGARCH模型对收益率序列的波动性和杠杆效应进行了检验,结果发现收益率序列波动性是持久的,市场风险很大,而且沪铝期货市场上存在着显著的杠杆效应。     

基于GARCH模型的股市收益与股指波动的实证研究

文章采用四个市场指数建立以来至2010年12月30日止,运用传统的最小二乘法和改进的自回归条件异方差模型( GARCH),从A股市场指数的波动性入手,研究四个市场收益率的特征,对指教序列的分布、序列的平稳性和异方差进行检验,从而对A股市场指教的波动有更深刻的认识和把握.     

基于GARCH类模型的权证时变VaR值估计

由于权证收益率分布具有尖峰厚尾和非对称性的特征，其市场风险的估算运用GARCH类模型比较合适。本文选取包钢JTB1的日收盘价格序列为样本，分别用EGARCH、TGARCH模型估计样本期间内日VaR值，并进行了比较。结果表明，EGARCH模型较好地预测了损失结果，而TGARCH模型则低估了风险。因此，基于EGARCH模型对VaR值的计算能更好地反映权证收益率的波动特征和准确预计损失，可以为权证的风险管理提供较为可靠的风险度量工具。     

基于GARCH族模型的黄金价格收益率及波动性研究

文章应用GARCH族模型对黄金现货价格的收益率及波动性进行实证研究,实证结果表明黄金价格日收益率具有"尖峰厚尾"和"波动聚类"的特征。通过TGARCH及EGARCH模型发现我国黄金市场存在非对称性现象,正的冲击对黄金价格波动影响更大。     

我国权证价格与其标的股票价格的相关性与因果性分析

2005年,中国权证市场正式启动,以股票为标的资产的权证迅速发展。权证对于完善金融市场的功能和结构有着重要的意义。本文为研究我国权证市场的价格发现功能,试图寻找权证价格与标的股票价格之间存在的相关性和因果性,采用Spearman秩相关系数和最小二乘法来检验相关性,采用ADF单位根检验和Granger因果检验来检验因果性。结果表明权证价格与标的股票价格之间呈现显著的正相关性,而权证的价格与标的股票价格之间不存在固定的因果关系。     

我国沪深股指收益率波动性的实证研究——基于ARCH模型族

本文基于我国1997年7月3日至2011年7月2日的数据,利用ARCH模型族,对我国沪深股指日收益率的波动性进行了实证研究。结果表明:沪深股市收益率的分布非正态,具有尖峰厚尾特征;它们的波动具有集聚性、持久性和杠杆效应;沪深股市中高收益伴随高风险。总体来看,沪深股市在收益率波动特征上的差异不大。     

我国公司权证融资发展与权证市场建设

本文首先提出了我国权证市场存在的缺陷及其对权证融资的影响,然后对权证市场的制度及环境建设提出了自己的几点看法。     

Volatility, trade size, and order imbalance in China and Japan exchange traded funds

In recent years there have been reports of excessive price volatility and value differences between prices of exchange traded funds (ETFs) and their underlying asset values. The objective of our study is to shed light on these facts by taking a closer look at the relationship between return volatility, trade size, and order imbalance for international ETFs. Even after controlling for order imbalance, volume as represented by number of trades in one of five trade size categories continues to have a significant and predominantly positive impact on volatility. Both trade size and order imbalance are important determinants of the Japan and China ETFs’ price volatility.     

Time-varying asymmetric volatility spillover between global markets and China’s A,B and H-shares using EGARCH and DCC-EGARCH models

This paper investigates the volatility spillover and dynamic conditional correlation between three types of China’s shares including A, B and H-shares with 12 major emerging and developed markets from 2002 to 2017 using EGARCH and multivariate DCC-EGARCH models. Both models found that Chinese equities are more related with their neighbouring countries such as Singapore, Japan, Australia and ASEAN-5 than with US, Germany and UK. The EGARCH model, with an auxiliary term added to capture the volatility spillover, found no volatility spillover between A-share markets and other advanced and emerging markets during the GFC and extended-crisis periods while this behaviour is not observed for B-share and H-share markets. However, the multivariate DCC model found strong evidence of contagion effect in both return correlations and volatility spillover for all China’s markets. In addition, both models found increased regional and global integration in A-share and B-share markets but not the H-share market. Finally, the results from both models provide clear evidence of distinct behaviours associated with return and volatility spillover in these three share types, suggesting foreign investors should consider the heterogeneity in volatility spillover and return correlations of these Chinese share types when forming investment strategies.     

Following the leaders? A study of co-movement and volatility spillover in BRICS currencies

The paper investigates return co-movement and volatility spillover among the currencies of Brazil, Russia, India, China, and South Africa (the BRICS member countries) and four major developed countries from April 2006 to October 2019. Using Bloomberg daily data on exchange rates, the study employs a flexible multivariate generalized autoregressive conditional heteroskedasticity (MGARCH)–dynamic conditional correlation (DCC) model and a vector autoregressive (VAR)–based spillover index, as the empirical strategy. Along with evidence of exchange rate volatility in BRICS currencies, among which the Russian ruble and the Chinese yuan are explosive, the econometric estimation results show the presence of significant return co-movement and volatility spillover among the foreign exchange markets across different countries. The currency markets in developed countries, as leaders, are found to transmit volatility mostly to BRICS currency markets, which are net receivers. The degree of spillover, however, varies across countries, with Brazil and Russia passing on volatility to the developed countries whereas India, China, and South Africa receive volatility from their developed counterparts.     

新企业会计准则中公允价值变动损益对新能源企业股价的影响分析

发展新能源产业是应对环境恶化的重要举措之一。本文选取我国上市公司中395家新能源企业在2007-2009年间的季报数据,运用面板数据分析方法,检验了公允价值变动损益与这类概念股市价的收益率及其波动率之间的相关性,结果表明新会计准则实施以来公允价值变动损益与股价收益率显著正相关,而于收益率的波动显著负相关,进一步表明公允价值变动损益具有信息含量,且并不会增大资本市场的波动风险。     

Market reactions to trade friction between China and the United States: Evidence from the soybean futures market

In March 2018, the US used an immense trade deficit as an excuse to provoke trade friction with China. This study uses the EGARCH model and event study methods to study the impact of the major risk event of Sino-US trade friction on soybean futures markets in China and the United States. Results indicate that the Sino-US trade friction weakened the return spillover effect between the soybean futures markets in China and the US, and significantly increased market volatilities. As the scale of additional tariffs increased, the volatility of the Chinese soybean futures market declined; however, the volatility of the US soybean futures market did not weaken. In addition, expanding the sources of soybean imports helped ease the impact of tariffs on China’s soybean futures market, while the decline in US soybean exports to China intensified the volatility of the US soybean futures market. In addition, while the release of multiple tariff increases has had a short-term impact on the returns of soybean futures markets, the impact of trade friction has gradually decreased.     

欧债危机冲击我国股票与债券市场的风险传染研究？

欧债危机对金融市场产生了显著的冲击,引发了巨大的风险。本文通过构建二元GARCH-BEKK模型,实证检验了欧债危机背景下欧洲股票市场、我国股票市场、国债市场与企业债市场之间的波动溢出效应,揭示了欧债危机冲击我国股票市场、国债市场与企业债市场的风险传染路径。实证表明,欧债危机冲击我国股票市场与债券市场的风险传导路径为：欧债危机引发的风险通过欧洲股票市场传导到我国股票市场,然后传导到企业债市场,最后传导到国债市场。     

Forecasting stock market volatility: Can the risk aversion measure exert an important role?

In this paper, we predict realized volatility of stock return by utilizing time-varying risk aversion based on a simple linear autoregressive model. Our in-sample results suggest that time-varying risk aversion have significant impact for stock return volatility. In terms of out-of-sample forecasting performance, the empirical results indicate that the incorporation of time-varying risk aversion in the benchmark model can yield more accurate stock return volatility forecasts. Notably, the out-of-sample forecasting results confirm that our conclusions are robust when we apply alternative lag orders and alternative prediction evaluation periods. Finally, we study links between the prediction ability of time-varying risk aversion and the volatility of other stock indices and two kinds of crude oil, and find that the new predictor can effectively strengthen forecasting performance in most case. In view of the importance of volatility risk in the asset pricing process, our research is of great significance for financial asset participants.     

Earnings announcements and the variability of stock returns

This article is concerned with the dissemination process of firm-specific annual earnings information in the Norwegian capital market. We find a significant reduction in stock price volatility in the post-announcement period relative to the pre-announcement period for companies traded on the Oslo Stock Exchange in the period 1990–1995. Potential explanations for this phenomenon are tested by relating the observed return volatility to changes in the volatility of the underlying business, the speed at which information is incorporated into stock prices, and the amount of noise in the price process. The empirical analyses reveal no significant changes in either the underlying business variance or the price adjustment coefficients. However, we find a significant decline in the noise term for the largest companies after the earnings release date, supporting the hypothesis that earnings announcements reduce informational asymmetries among investors.     

沪深股市在牛市和熊市阶段的波动非对称效应实证分析

本文分别采用EGARCH-M、TGARCH-M模型对沪深股市在牛市和熊市阶段的非对称波动效应进行了分析,这两个模型得出了相同的结论,在牛市阶段利好消息引起股市更大的波动,在熊市阶段利空消息引起股市更大的波动,而且这两个模型同时也说明了我国股市风险和收益的正相关关系,并从我国股票市场交易者构成和交易机制两方面说明了波动非对称的原因。