融资融券交易制度对中国股市波动率的影响——基于面板数据政策评估方法的分析北大核心CSSCISSCI

融资融券交易制度的推出为投资者提供了一种规避市场下跌风险的工具,但其杠杆效应可能吸引更多的投机行为从而加剧市场的波动。本文采用Hsiao et a1.(2012)提出的一种面板数据政策效应评估方法,研究了国内融资融券制度的推出对股市波动率的影响。我们通过对比真实波动率与构造的反事实波动率路径,发现融资融券制度的推出有效地降低了融资融券标的个股波动率。进一步分析表明,融资交易和融券交易对股市波动率的影响存在非对称性。在我们的样本区间中,融资交易降低了股市的波动率,而融券交易增加了股市的波动率,但由于融资交易比融券交易更为活跃,所以对波动率的影响净效应依然为负,这个结果在控制了股指期货交易的影响之后仍然成立。     

融资融券视阈下的投资者情绪与A股收益率波动研究

本文以融资融券市场作为研究目标分析投资者的获利倾向、心理状态、行为决策等因素所反映出的投资者情绪特征对A股收益率波动的影响。采用CR I T I C赋权法,通过计算融资融券中融资余额、融券余额、融资融券交易占比以及融资买入量等多个数据指标构建融资融券投资者情绪指数CRISI。结合A股市场日交易数据,分析研究了融资融券市场中投资者情绪指数和股市收益率波动的相互作用。本文实证结果表明,融资融券投资者情绪指数对A股市场收益率存在正向作用,而A股市场收益率对投资者情绪的影响并不显著。此外,A股市场中股价的“异常涨跌”亦对投资者情绪影响不明显。实证结果反映出我国融资融券市场中投资者情绪与A股市场收益率之间存在一种单向的影响关系,为我国股票市场投资者情绪调查机制与监控系统的建立和完善提供了依据。     

融资融券交易对股市波动率的影响 ——来自中国证券市场的经验证据

随着融资融券试点的推出,我国证券市场的单边交易模式正式宣告结束,以2010年4月至2019年7月为样本期,构建时变参数向量自回归(TVP-SV-VAR)模型,探究融资融券交易和中国股市波动率之间的动态联系.实证表明:融资融券交易对我国股市波动存在即时和滞后效应,且短期抑制效应相对显著.此外,股市波动对融资融券交易同样存在负向影响效应,在暴涨暴跌行情中该效应更为显著.     

融资融券对我国股票市场波动性的实证分析——基于VAR模型

融资融券机制具有平抑市场波动的作用。在我国证券市场引入融资融券机制两年多的时间里,融资融券机制是否发挥了其稳定市场的基本功能?国内研究融资融券业务对证券市场和股价波动的影响尚处于起步阶段,主要观点有两种:一是认为融资融券交易不会对股市波动性产生影响。王虎、朱贵宇(2011)运用GARCH模型研究融资融券交易与股市波动性之间的内在联系,并得出结论,融资融券交易业务在一定程度上可以降低股票价格波动,但现阶段我国融资融券业务对股市波动影响不具有显著     

双融市场的立体交易策略

融资融券交易是证券市场交易的重要组成部分，在成熟市场，有超过30％的交易由融资融券交易完成；其为证券市场提供流动性的同时亦降低了市场波动率，具有重要意义。     

融资融券交易与市场价格发现——基于盈余公告漂移的实证分析

融资融券的推出是中国证券市场交易制度的一次结构性的变革,本文以第一批可以融资融券的90只股票为样本,选取盈余公告漂移异象作为研究标的,从理论和实践角度检验融资融券推出对市场价格发现的影响作用.我们发现,融资融券的推出使得投资者有更多的选择和手段对市场信息做出及时反应,A股市场的一个市场异象盈余公告漂移在融资融券后有显著减弱.最后本文利用融资融券制度的可卖空和杠杆交易特征构造了基于盈余漂移的交易策略.     

融资融券交易对市场和标的个股波动影响的研究

作为证券市场的重要制度之一,融资融券交易理论上应具有价格发现、价格稳定、提高流动性等基本功能。本文从融资、融券交易的价格稳定理论机制出发,从对市场和个股两个层面系统而全面的分析融资交易和融券交易的价格稳定作用。研究发现：融资交易对指数波动没有显著影响,融券交易对指数波动有一定平抑作用;融资融券交易对标的个股有价格稳定作用。     

融资融券业务国际比较

融资融券交易是成熟证券市场的基本功能,在许多国家和地区都存在,虽然名称可能有差异,但原理和操作思路却相近.市场通常说的"融资融券",是指证券公司或专门的信用机构为投资者提供融资和融券交易.虽然我国的证券市场发展时间较短,自2006年6月底,证监会发布<证券公司融资融券试点管理办法>经过了两年多的时间,陆续出台<融资融券交易试点实施细则>,<证券公司监督管理条例>等系列关于融资融券交易的相关法律法规和政策后,证监会于2008年底10月底宣布启动融资融券试点,因此成熟证券市场的经验对我国具有借鉴意义.     

融资融券交易对市场和标的个股波动影响的实证研究

作为证券市场的重要制度之一，融资融券交易理论上应具有价格发现、价格稳定、提高流动性等基本功能。本文从融资、融券交易的价格稳定理论机制出发，针对市场和个股两个层面系统而全面地分析融资交易和融券交易的价格稳定作用。研究发现：融资交易对指数波动没有显著影响，融券交易对指数波动有一定平抑作用；融资融券交易对标的个股有价格稳定作用，除极个别个股的融资作用表现不确定。     

融资融券制度安排及相关风险分析

融资融券在我国证券市场推出以来,随着试点至扩容,经过几年的时间已经发展至近万亿的规模。由于融资融券可以提高证券市场的定价效率,其施行一直备受关注,但另一方面,由于该业务为证券交易加上杠杆,其对证券价格的影响如何也是多方讨论的重点。通过对融资融券具体制度安排的分析,可梳理其因为制度安排上产生的对投资者交易行为的影响,进一步对该制度安排产生的风险进行阐述,针对融资融券对市场所产生的影响进而提出完善建议。     

Intraday trading volume and international spillover effects

The objective of this paper is to explore whether lagged trading activity in one market contributes to the return and volatility process in other markets, using 5-min concurrent data from German and British equity market. Our results lend support to our initial premise that if international investors have access to the same information set as domestic traders, then after observing foreign trading activity, market makers adjust prices to reflect their expectation of the security value, conditional upon all available information, including prior trades. Our findings clearly indicate that intraday trading volume contains predictive power for cross-border return and volatility processes. Moreover, these volume effects are found to be asymmetric in the sense that the impact of positive volume changes upon foreign stock market volatility is greater than is the impact of negative changes.     

融资融券试点的制度安排和制度完善——基于投资者权益保护视角的分析

融资融券交易试点正面临制度完善的重大课题。本文从投资者权益保护的视角对融资融券交易试点制度进行了案例分析,研究我国融资融券业务试点的制度安排、制度缺陷和政策建议。本文率先尝试评价了融资融券业务试点的制度体系,发现其制度机制基本保障了投资者融资融券交易的市场准入权、资产安全权、广泛知情权、公平交易权、服务保证权和投资收益权六项合法权益;从投资者权益保护角度看,虽然试点制度层次清楚、基本完整,但结构失衡,效率不足;建议出台长远规划,推进转融通制度,调整市场准入制度,完善投资者权益保护评价制度,并扩大试点范围,提高效率。     

Disagreement and asset prices

How do differences of opinion affect asset prices? Do investors earn a risk premium when disagreement arises in the market? Despite their fundamental importance, these questions are among the most controversial issues in finance. In this paper, we use a novel data set that allows us to directly measure the level of disagreement among Wall Street mortgage dealers about prepayment speeds. We examine how disagreement evolves over time and study its effects on expected returns, return volatility, and trading volume in the mortgage-backed security market. We find that increased disagreement is associated with higher expected returns, higher return volatility, and larger trading volume. These results imply that there is a positive risk premium for disagreement in asset prices. We also show that volatility in and of itself does not lead to higher trading volume. Instead, only when disagreement arises in the market is higher uncertainty associated with more trading. Finally, we are able to distinguish empirically between two competing hypotheses regarding how information in markets gets incorporated into asset prices. We find that sophisticated investors appear to update their beliefs through a rational expectations mechanism when disagreement arises.     

Interaction of investor trades and market volatility: Evidence from the Tokyo Stock Exchange

This paper examines the relation between market volatility and investor trades by identifying who supplies and demands market liquidity on the Tokyo Stock Exchange. Because the different trading patterns of various investor types such as individual investors, institutional investors, and foreign investors affect market liquidity differently, we find that market volatility fluctuates significantly depending on which investor types participate in trade. We show that market volatility increases by more than 50% from the average level when there are greater buy trades by momentum investors that demand liquidity and there are less sell trades by contrarian (or profit-taking) investors that supply liquidity. On the other hand, volatility dampens by more than 57% when there are greater sell trades by profit-taking investors, mostly by domestic investors, while there are less momentum buy trades.     

The impact of foreign equity flows on market volatility during politically tranquil and turbulent times: The Egyptian experience

Since the popular uprising of January 2011, a series of momentous events has rocked Egypt’s political order, jeopardising the country’s economic and financial stability. This study examines the role of foreign capital flows in the volatility of the Egyptian equity market, and whether this role has changed due to the recent domestic political unrest. These issues are empirically addressed in the context of GMM estimation. The results suggest that, unlike those of foreign individual investors, trades of foreign institutional investors contribute to market fluctuations, whether prior to or following the January 2011 uprising. Sell trades by foreign individual and institutional investors exert a significant influence on volatility. Further, when volume is split into its anticipated and unanticipated components, the results show that surprises in trading activity by either group tend to exacerbate volatility in periods of calm and turmoil. These findings are broadly insensitive to volatility measures and robust, even after controlling for a variety of relevant determinants of market volatility. The evidence documented in this study provides important implications for policy markers.     

Stock markets fragmentation,volatility and final investors

The 2000s in equity markets are marked by two major regulatory shocks: RegNMS in the United States, and MiFID in the European Union. Simultaneously, there is a massive increase in the proportion of high-frequency trading, and market orders volume. However, trading volumes do not significantly increase. We propose a theoretical model describing the effects of stock markets fragmentation on two types of investors optimization problems: “intermediary” high-frequency and “final” investors. Volatility has a permanent and a transitory component, whose weights depend on market fragmentation via the share of non-marketable orders of intermediary investors. The trading volume of final investors depends on market fragmentation both directly via transaction costs, and indirectly via total volatility. Finally a shock in fragmentation may lead to a decrease in trading volume, enhanced in the case of an equity markets crisis by a rise in the components of volatility.     

融资融券能否提高交易所自律监管效率?

本文利用沪深300指数日收益率为样本,采用GARCH-M模型、EGARCH-M模型分析融资融券业务推出对我国股市波动性的影响,并以波动性为交易所自律监管效率的代理变量来进一步说明融资融券能否提高我国交易所自律监管的效率。结果表明:融资融券业务从试点推出到转为常规业务的一年半以来,我国股市的波动性有所减小,波动的杠杆效应减弱,表明融资融券能起到稳定市场的作用。同时也说明了金融创新工具推出和应用的市场化改革能够促进我国交易所自律监管功能的发挥。     

A Note on the Intraday Patterns of Initial Public Offerings: Evidence from Hong Kong

This paper examines the intraday patterns of IPOs in Hong Kong during the period 1995–1998. The results reveal that the well‐known under‐pricing phenomenon of IPOs occurs only at the opening trading of new issues and vanishes afterwards. The return volatility of IPOs is found to be high during the first trading session, and declines rapidly during the rest of the first trading day until the end of the trading day. The intraday return volatility of IPOs is found to follow a double U‐shape pattern, which is similar to that of the general market. A great deal of trading activity was recorded during the first five minutes of the trading day. Consistent results are obtained for IPOs registered during the pre‐crisis and post‐crisis periods. This paper has practical implications for investors. Investors can benefit from the under‐pricing only if they subscribe for new shares in the primary market. There is, however, no profit‐making opportunity for day traders who buy shares on the first trading day. This shows that the Hong Kong market is efficient in adjusting for the IPO under‐pricing. In addition, it is likely that, because of Hong Kong's share allotment method, only big investors who apply for large numbers of shares can benefit from this under‐pricing phenomenon.     

Exploring the relationship between investor sentiment and price volatility

By performing Grey relation analysis, this study elucidates the relationship between investor sentiment and price volatility in the Taiwanese stock market. A sequential relationship is identified between investor sentiment and price volatility, and ranked according to order of importance. Analytical results show that short sales volumes may be an individual leading indicator useful in observing the effects of sentiment on price volatility, followed by open interest put/call ratios and trading volumes, and buy/sell orders. Institutional investors are related, to a lesser extent, to price volatility and sentiment. Qualified foreign institutional investors, or more rational investors, are the least influenced by price volatility, followed by securities investment trust companies and dealers. TAIEX options exert the strongest influence on sentiment during the study period, making them a valuable reference for gauging price volatility.     

Stock market volatility and equity returns: Evidence from a two-state Markov-switching model with regressors

This paper proposes a two-state Markov-switching model for stock market returns in which the state-dependent expected returns, their variance and associated regime-switching dynamics are allowed to respond to market information. More specifically, we apply this model to examine the explanatory and predictive power of price range and trading volume for return volatility. Our findings indicate that a negative relation between equity market returns and volatility prevails even after having controlled for the time-varying determinants of conditional volatility within each regime. We also find an asymmetry in the effect of price range on intra- and inter-regime return volatility. While price range has a stronger effect in the high volatility state, it appears to significantly affect only the transition probabilities when the stock market is in the low volatility state but not in the high volatility state. Finally, we provide evidence consistent with the ‘rebound’ model of asset returns proposed by Samuelson (1991), suggesting that long-horizon investors are expected to invest more in risky assets than short-horizon investors.