Return and volatility spillovers effects: Evaluating the impact of Shanghai-Hong Kong Stock Connect

This study investigates the impact of the recently introduced Shanghai-Hong Kong Stock Connect. Using high frequency data and dynamic forecasting techniques, we find that the new Stock Connect does contribute to the increasing importance of the Chinese mainland stock market and economic activity. A weak and unstable cointegration relationship is found after this event. Additionally, the Stock Connect has also increased the conditional variance of both stock markets. We observe a leading role of the Shanghai stock market to the Hong Kong stock market in terms of both mean and volatility spillover effects after the Stock Connect. Our study indicates that the opening up of stock markets in China could enhance the leading power, influence the risk level and improve the market efficiency of the Chinese mainland stock market, since the volatility spillover effect from Shanghai to Hong Kong is strengthened. Besides, our results have important policy implications, especially on how policy makers should deal with the increased market interconnectedness and for portfolio managers in choosing potential hedging instruments. The success of Shanghai-Hong Kong Stock Connect provides valuable operational experience for the forthcoming Shenzhen-Hong Kong Stock Connect which could further improve the market efficiency in China.     

T+1 trading mechanism causes negative overnight return

The T+1 trading mechanism is unique in the Chinese stock market, thus providing a natural experimental field to study the trading mechanism and price behaviors. This paper proposes and proves that T+1 trading mechanism causes negative overnight return, the overnight return can serve as a proxy of the T+1 trading mechanism. The paper finds that the overnight return of the Chinese stock market is significantly negative, whereas those under the T+0 trading mechanism, such as China’s stock index futures, Hong Kong stocks, and major international indices, all have around 0 or positive overnight returns. T+1 trading mechanism has greater impacts on stocks with more divergent investor opinions, higher risk, more individual investor percentages, higher arbitrage restrictions, and less liquidity. The T+1 trading mechanism distorts the price generation mechanism of stocks. The paper contributes to the understanding of impact of trading mechanism on stock prices.     

The impact of trading floor closure on market efficiency: evidence from the Toronto Stock Exchange

On 23 April 1997, the Toronto Stock Exchange closed its trading floor, making it at that time the second-largest stock exchange in North America to choose a purely electronic trading environment for its equities. Exploiting this natural experiment, we find that the move to electronic trading resulted in a higher cost of immediacy (bid–ask spreads), increased information asymmetry and an overall deterioration of short-horizon return predictability from past order flows, reducing the efficiency of price discovery. Our results suggest that the human element plays an important role in order execution and complements automated electronic trading by improving the efficiency of incorporating new information into prices.     

融资融券与企业产品市场竞争

本文探究融资融券对上市公司产品市场竞争行为的影响。通过理论分析与实证检验,本文发现融资融券政策的实施促进了标的企业产品市场竞争行为,但是由此带来的潜在的过度竞争问题可能导致企业整体绩效有所下降。本文还发现融资融券的政策效果主要集中于融资交易强度较高、或股价信息敏感度较低的公司。本文的研究结果表明,我国融资和融券交易发展的不对称性放大了资本市场对公司正面信息的奖励效应,可能促使公司在产品市场过度竞争,降低了整体绩效,而个股股价信息敏感度的提高有助于缓解上述问题。     

The anatomy of returns from moving average trading rules in the Russian stock market

This paper examines the profitability of index trading strategies that are based on dual moving average crossover (DMAC) rules in the Russian stock market over the 2003–2012 period. It contributes to the existing technical analysis (TA) literature by comparing for the first time in emerging markets the relative performance of individual stocks’ trading portfolios with that of trading strategies for the index that consists of the same stocks (i.e., the most liquid stocks of the Moscow Exchange). The results show that the best trading strategies of the in-sample period can outperform buy-and-hold strategy during the subsequent out-of-sample period, although with low statistical significance. In addition, we document the benefits of using DMAC combinations that are much longer than those employed in previous TA literature. Moreover, the decomposition of the full-sample-period performance into separate bull- and bear-period performances shows that the outperformance of the best past index trading strategies over is mostly attributable to the fact that they managed to stay mostly out of the stock market during a dramatic crash caused by the global financial crisis.     

Performance of moving average trading strategies over varying stock market conditions: the Finnish evidence

This article examines the profitability of dual moving average crossover (DMAC) trading strategies in the Finnish stock market over the period 1996 to 2012. It contributes to the existing technical analysis literature by comparing for the first time the performance of DMAC trading portfolios of individual stocks to the performance of index trading strategies based on trading on an index that consists of the same stocks. The results show that their relative performance varies over time, whereas previous studies have documented outperformance of index trading strategies over trading strategies of stock portfolios. Moreover, the great majority of 3020 DMAC strategies examined in this article outperform the corresponding buy-and-hold (B and H) strategy for both trading targets (i.e., OMX Helsinki 25 index and individual stocks included in the index) in out-of-sample tests. In addition, the decomposition of the full-sample-period performance into separate bull- and bear-period performance shows clearly that the outperformance of DMAC strategies over B and H strategy is mostly attributable to their better performance during bearish periods.     

Effects of electronic trading on the Hang Seng Index futures market

This investigation of the switch from open-outcry trading to electronic trading on the Hang Seng Index (HSI) futures contract reveals that the bid–ask spread narrows and the futures price plays more of a role in information transmission. Factors, such as anonymity in trading and fast order execution in electronic trading, attract informed traders to the futures market, enhancing the information flow. Our results provide support for the worldwide trend of transforming open-outcry markets into electronic trading platforms.     

Dynamic probability of informed trading and price movements: evidence from the CSI300 index futures market

This article first uses dynamic probability of informed trading (DPIN) for measuring the probability of informed trading in the CSI300 index futures market and proves its validity for predicting future price movements. Instead of using the original Lee–Ready algorithm, this study uses bulk volume classification (BVC) for classifying volume. BVC could effectively improve the predictive power of DPIN for future price movements. The relationship between DPIN and returns indicates that informed buying raises the futures price while informed selling moves the futures price downward. DPIN could effectively capture price information in the index future markets in China.     

融资融券对股价的影响——基于沪市A股的经验研究

文章基于2010年3月31日至2012年底沪市A股数据和融资融券余额交易数据,通过建立误差修正模型,利用协整检验和Granger因果检验的计量方法研究沪市A股指数和融资融券交易余额之间的关系,实证检验融资融券交易的推行对于沪市A股指数的影响,结果表明:融资融券余额和沪市A股指数之间存在长期稳定的协整关系,沪市A股指数是融资融券余额的Granger因,但融资融券余额不是沪市A股指数的Granger因,股价的变动会影响融资融券滞后一期和滞后二期的交易量,但融资融券的推行并没有加剧A股市场的波动。不过样本期内融资融券交易中融券卖空交易占比过少,融券卖空对冲作用的发挥受到卖空量的约束,应通过增加卖空标的、加快发展转融券等方式提升融券卖空交易量。     

The empirical study on price discovery of cornstarch futures market in China

This article aims at exploring the performance of the price discovery function of cornstarch futures market in China. In order to test the stationarity of the cash and futures prices of cornstarch, the augmented Dickey–Fuller test is applied. Both prices are integrated of order one. Then, the Johansen cointegration test is conducted to test the cointegrating relationship between those two prices. Finally, the Granger causality test is performed to observe the direction of causality. The evidence shows that there is a long-run relationship between cash and futures prices and the futures price Granger causes cash price. As a whole, price discovery of cornstarch market in China is present although it is a newly emerged market.     

The impact of information signals on market prices when agents have non-linear trading rules

Several methods have been developed for filtering seasonal influences and extreme returns in financial and economic time series. The theoretical support for these approaches is rather questionable since it focuses on the effects of shocks on prices and not on their sources. Removing such effects modifies the true generating system of market dynamics because of the non-proportional character of non-linearity. Thus, taking into account that the underlying process of economic time series is highly non-linear we cannot be certain a priori what the impact of new information will be on the dynamic structure of a system. The main contribution of this paper is to demonstrate using the methodology of simulations the eventual distortions in time series data arising from the arrival of news when agents follow non-linear trading strategies. We argue that if news can really modify the dynamical behaviour of a system, then the methodology of filtering exogenous distortions needs to be re-examined.     

The U.S. allowance trading system for sulfur dioxide: An update on market experience

In 1990, the U.S. Congress passed legislation that amended the Clean Air Act to create a new program to mitigate the effects of acid deposition in the U.S. through emission reductions of sulfur dioxide (SO₂) and nitrogen oxides (NO_x) at electric utility plants across the country. The SO₂ reductions, totalling a 40% reduction nationally from 1980 levels or a 10 million ton reduction annually, are achieved largely through an emission trading system, the largest program of its kind designed to date. This trading system has the potential to save up to half of the compliance costs associated with more traditional source-by-source emission limit programs.This paper briefly discusses background on the acid rain issue in the United States, and the principal features of the program, including: a permanent cap on utility emissions of SO₂ beginning in 2010, decision to grant up-front allocation of emission credits to reduce individual approvals of trades, the use of continuous emission monitors and automatic penalties to ensure compliance, and integration of the Acid Rain program requirements with other Clean Air Act programs. The paper also discusses the development of the allowance trading market to date, including the types of compliance options chosen and quantity and type of emissions trading being conducted.The U.S. Government right to retain a non-exclusive, royalty free licence in and to any copyright is acknowledged.     

The effectiveness of pre-release advertising for motion pictures: An empirical investigation using a simulated market

We use data on a movie’s stock price as it trades on the Hollywood Stock Exchange, a popular online market simulation, to study the impact of movie advertising. We find that advertising has a positive and statistically significant effect on expected revenues, but that the effect varies strongly across movies of different “quality”. The point estimate implies that the returns to advertising for the average movie are negative.     

The effects of multilateral trading systems on risk and return in equity markets

The event study methodology of Brown and Warner (1985) is adopted and augmented to evaluate the effect of the launch of multilateral trading systems on risk and return in equity markets. The methodology is supplemented with various techniques, such as the nonparametric ranking test and kernel regression, to find out if announcements about the introduction of Chi-X Australia generated abnormal returns (ARs). Asset pricing models are fitted with interaction variables, while GARCH, threshold ARCH (TARCH), exponential GARCH (EGARCH) and power-ARCH (PARCH) are used to determine changes in systematic risk. We find evidence in favour of Fisher’s separation theorem and detect a new market anomaly, which we call the ‘Fisher market anomaly’. Our results show that Chi-X system testings affect ARs. Consistent with the adaptive expectations theory, we confirm that the first announcement about the launch of Chi-X affected systematic risk the most. In addition, we identify industry and firm effects in risk analysis.     

我国碳排放权交易市场与股票市场的关联:基于非线性Granger因果检验与非平衡面板模型的实证分析

碳排放权交易市场作为金融市场的一部分,与股票市场有着一定的联动性.我国在2017年底开启全国性碳排放交易市场,其关联必将引起越来越多的关注.本文一方面通过线性Granger因果检验与非线性Granger因果检验综合检验各碳交易试点地区的碳收益率与股票市场整体的相关性,研究结果发现只有广东、天津的碳收益与深证综指和湖北与上证综指之间存在单向的Granger因果关系,而北京、上海、广东与上证综指、深证综指存在双向或单向的非线性Granger因果关系;另一方面,通过对各碳排放权交易试点地区的价格、收益率与试点区域股票市场的相关性进行非平衡面板数据的实证分析,发现碳排放权交易试点地区与其区域股市在长期、短期上都存在显著的关联性.     

Stock market crash of 2008: an empirical study of the deviation of share prices from company fundamentals

The aim of this study is to investigate quantitatively whether share prices deviated from company fundamentals in the stock market crash of 2008. For this purpose, we use a large database containing the balance sheets and share prices of 7796 worldwide companies for the period 2004–2013. We develop a panel regression model using three financial indicators – dividends per share, cash flow per share and book value per share – as explanatory variables for share price. We then estimate individual company fundamentals for each year by removing the time fixed effects from the two-way fixed effects model, which we identified as the best of the panel regression models.

Based on these results, we analyse the market anomaly quantitatively using the divergence rate – the rate of the deviation of share price from a company’s fundamentals. We find that share prices on average were overvalued in the period from 2005 to 2007 and were undervalued significantly in 2008, when the global financial crisis occurred. Share prices were equivalent to the fundamentals on average in the subsequent period. Our empirical results clearly demonstrate that the worldwide stock market fluctuated excessively in the time period before and just after the global financial crisis of 2008.     

The impacts of investor sentiment and price uncertainty on the effects of open-market share repurchase announcements

This study probes into relationship between investor sentiment and cumulative abnormal returns (CAR) of share repurchase announcements, and it treats market return as threshold variable. By threshold regression model, it tries to find the effect of market situations on relation between investor sentiment and CAR. According to empirical result, in share market of Taiwan, investor sentiment can explain CAR. When share market is extremely pessimistic (market return lower than ?16.0053%), relation between investor sentiment and CAR will change to some degree. In addition, relation between price risk of announcement company and CAR will disappear with the extremely pessimistic situation of market.     

融资融券交易的市场冲击效应研究——基于中国台湾证券市场的经验与启示

融资融券交易是证券市场的重要组成部分,它的推出会对整个市场产生何种影响是非常值得研究的问题.文章利用中国台湾证券市场的融资融券交易数据,从市场流动性与波动性角度研究融资融券交易对整个市场的冲击效应.研究结果表明,融资买空交易有助于提升整个市场的流动性水平,在一定程度上可以改善市场流动性水平相对不足的状况,但融券卖空交易对市场流动性水平没有显著影响;融资买空与融券卖空交易并未显著影响整个市场的波动性水平.文章建议证券监管部门可以将融资融券交易保证金率作为市场调控工具,通过适时调整保证金率调控整个市场,避免市场出现大幅震荡.     

The influence of cultural distance on the volatility of the international stock market

Along with the development of cultural dimensions and cultural distance, the influence of cultural variables on the stock market is attracting more and more attention. In this study, we propose an improved gravity model to examine the relationship between culture and the volatility of the international stock market. Firstly, based on Hofstede's cultural dimensions theory, a model of the impact of cultural dimensions on the volatility of the national stock market is presented. Secondly, cultural distance is incorporated into the extended gravity model. Then, models of the impact of cultural distance on fluctuations in the international stock market and on foreign securities investment are proposed. Finally, the results of case studies using samples of national stock market indices indicate that different cultural dimensions have different influences on the volatility of national stock markets. The smaller the cultural distance between countries, the more similar the level of volatility in those countries' stock markets. Greater cultural similarity promotes increased securities investment between countries.