Call Auction Transparency and Market Liquidity: Evidence from China

This paper uses the natural experiment offered by the Shanghai Stock Exchange to investigate the impact of opening call auction transparency on market liquidity. We find that the dissemination of indicative trade information during the pre‐open call auction session leads to an overall improvement in stock liquidity in the continuous trading session. Bid‐ask spreads narrow in the first trading hour because adverse selection risk fell significantly and there is less price volatility in the continuous market. This effect is greater for actively traded securities than illiquid securities. Our findings are robust for different lengths of sample period, different lengths of trading hours after market open, and stocks that had (and had not) reformed the share split structure during our research period.     

The contribution of a satellite market to price discovery: Evidence from the Singapore exchange

The Singapore Exchange (SGX), a small satellite market, successfully competes with a large home market, the Osaka Securities Exchange (OSE), in trading the Nikkei 225 futures index. In this paper, we investigate the contribution of the SGX to price discovery and shed light on the reasons for its continued success. Evidence is provided from information revelation and price discovery of three competing but informationally linked markets of the Nikkei 225 index—domestic spot (Tokyo Stock Exchange), domestic futures (OSE), and foreign futures (SGX), which represents the satellite market. Overall, the futures market contributes 77% to price discovery, with the satellite market contributing 42% of the futures and 33% of the total price discovery. These figures, surprisingly, far exceed the satellite market's share of trading volume. Support is provided for the extended trading hours on the SGX for three of the four non‐overlapping trading sub‐periods. © 2004 Wiley Periodicals, Inc. Jrl Fut Mark 24:981–1004, 2004     

Learning representation of stock traders and immediate price impacts

We use 239-day trading-level data for a stock on the Shanghai Stock Exchange, including about 440,000 traders and 1.77 million trading relationships, to study the representation of traders in a trading network using the network representation learning method, and to identify different traders' local outlier factor (LOF). Based on the local outlier factors, traders are divided into two categories: novel and normal. The novel traders' orders have smaller immediate price impact. Our method can be used to characterize and discover the behavior of medium-scale trading networks and provide certain decision support for market investors and regulators.     

Market openness and market quality in gold markets

This paper studies the impact of market openness on market quality in gold markets, by investigating the openness event that occurred when the Shanghai Gold Exchange (SGE) launched an international board (SGEI) for foreign investors in China. Investors prefer to trade on the SGE than the SGEI, probably due to the SGE’s higher liquidity. In addition, using the New York Mercantile Exchange (COMEX) gold futures as the benchmark, we show the SGE experiences a significant increase in liquidity without a concomitant increase in volatility. Moreover, the SGE’s contribution to international gold price discovery increases after the openness event.     

Market microstructure effects on volatility at the TAIFEX

This study examines whether changes in the frequency of market clearing or changes in trading hours on competing exchanges that use different auction systems affect the volatility of futures prices. In particular, this study exploits a natural experiment in the frequency of market clearing of stock index futures contracts traded on the Taiwan Futures Exchange (TAIFEX) to assess whether successive increases in the frequency of market clearing are associated with changes in the volatility of futures prices. The impact of changes in the trading hours on the TAIFEX and on the competing Singapore Exchange (SGX) where a similar Taiwanese stock index futures contract trades under a continuous auction market regime is also examined. The evidence for the impact of an increase in the frequency of market clearing on volatility is mixed. However, the introduction of simultaneous opening times for the TAIFEX (which batches orders at the open) and the SGX (which does not) is associated with a significant reduction in the volatility in SGX Taiwanese stock index futures prices. © 2007 Wiley Periodicals, Inc. Jrl Fut Mark 27:1219–1243, 2007     

Adverse selection costs: A study on the Chinese stock market

Employing a bid-ask spread model applicable for order-driven market, this paper decomposes the bid-ask spread of Shanghai Stock Exchange (SSE) into adverse selection and order processing cost components to investigate the relationship between the components of bid-ask spread and order size. It examines the impacts of firm size, price, trading activeness, and volatility on adverse selection cost, and explores the intraday pattern of adverse selection costs and informative trading. Results show that adverse selection costs increase with trade scale. However, order processing costs do not exhibit the economies of scale. Stocks of large firms, which are high-priced and actively traded, have relatively low adverse selection costs; stocks with large volatility have relatively high adverse selection costs. Moreover, this paper finds that the adverse selection component of bid-ask spread in the Chinese stock market exhibits an L-shaped intraday pattern, which implies that heavy trading around market opening is dominated by informative trading, while heavy trading near market closing is dominated by liquidity trading.     

Investor behavior and volatility of futures market: A theory and empirical study based on the OLG model

Investor trading behaviors are always an important issue in behavioral finance and market supervision. This study examines the relationship between investor behavior and future market volatility. We first introduce a two-period OLG model into the futures market, and develop an investor behavior model based on future contract price. We then extend the model to two scenarios: complete and incomplete information. We provide the equilibrium solution, and develop two hypotheses, which are tested with cuprum tick data in Shanghai Futures Exchange (SHFE). Empirical results show that the two-period OLG model for future market is consistent with the market situation in China. More specifically, investors with sufficient information such as institutional investors usually adopt the contrarian trading strategy, whereas investors with insufficient information, e.g., individual investors, usually adopt the momentum trading strategy. These findings reveal that investor behaviors in the Chinese futures market are different from those of in the Chinese stock market.     

Institutional trading in IPOs and post-IPOs: Value-based vs speculative

Using a unique dataset from Shanghai Stock Exchange, we study institutional trading behaviors in IPOs and post-IPOs. From the perspective of value-based or speculation, we find that, (1) institutional investors are flippers on the first day of IPOs, (2) trading by institutional investors and the active institutional investors (mutual funds or brokerage) is value-based, and (3) the net buys of institutional investors can predict the long term performance of IPO-firms and shows a negative relation with a bubble in future. Since individual investors are the opponent of institutional investors, our results mean that individuals are speculators in the market. Our study suggest that institutional investors are the sophisticated ones in the market and they can process information more efficiently, whose value-based trading can enhance market price discovery and is good for market stabilization.     

A revisit to the hedge and safe haven properties of gold: New evidence from China

We examine the role of gold as a hedge and safe haven from the perspective of Chinese investors. Using the Shanghai Futures Exchange (SHFE)-Gold futures prices and the CSI 300 index from 2008 to 2017, we find that gold is not a hedge against the Chinese stock market on average. However, gold acts as a safe haven when market returns are below their 1%, 5%, and 10% quantiles and during the two crash periods. Our findings apply to most of the industry sectors as well. We also show that the role of gold can change drastically due to some market policy reforms.     

Transaction Costs and Market Quality: Open Outcry Versus Electronic Trading

On May 10, 1999, the London International Financial Futures and Options Exchange (LIFFE) transferred trading in the Financial Times Stock Exchange (FTSE) 100 Index futures contracts from outcry to LIFFE CONNECT, its electronic trading system. We find lower spreads in the electronic market after the transition. However, the open outcry mechanism has higher market quality (or smaller variance of the pricing error) on the basis of Hasbrouck's (1993) model. Furthermore, employing the Hasbrouck (1991) model, we show that trades in the open outcry market have higher information content. Inventory control considerations also affect the electronic market more than the open outcry market. The overall results suggest that electronic trading should complement, but not replace, open outcry in futures markets. © 2001 John Wiley & Sons, Inc. Jrl Fut Mark 21: 713–735, 2001     

A brighter future with lower transactions costs?

Recently, the OMX Nordic Exchange reduced the exchange fee for trading the OMXS 30 index futures with more than 22%. The reduction in exchange fees provides this study with a unique opportunity to investigate the effects of a change in fixed transaction costs on futures market liquidity, trading activity, volatility, futures pricing efficiency, and the futures exchange's revenues. The results show a ceteris paribus increase in futures trading volume with 19%, a 27% decrease in futures bid–ask spread, and a 27% increase in volatility, as a result of the futures exchange fee reduction, whereas the pricing efficiency of the futures contract and the exchange's revenues are unaffected by the change in transaction costs. The exchange fee reduction has improved futures market liquidity at the cost of higher volatility. Moreover, the attractiveness and competitiveness of the futures exchange has increased relative alternative trading venues, without a loss of revenues in the process. © 2009 Wiley Periodicals, Inc. Jrl Fut Mark 29:775–796, 2009     

Price discovery in bitcoin spot or futures?

In December 2017, both the Chicago Board Options Exchange and the Chicago Mercantile Exchange introduced futures contracts on bitcoin. We investigate to what extent they provide useful information for the price discovery of bitcoin. We rely on the information share methodology of Hasbrouck (1995, J Finance, 50, pp. 1175–1199) and Gonzalo and Granger (1995, J Bus Econ Stat, 13, pp. 27–35) and find that the spot price leads the futures price. We attribute this result to the higher trading volume and the longer trading hours of the globally distributed bitcoin spot market, compared to the relatively restricted access to the US-based futures markets.     

Do brokers act in the best interests of their clients? New evidence from electronic trading systems

Prior research suggests brokers do not always act in the best interests of clients, although morally obligated to do so. We empirically investigated this issue focusing on trades executed at best execution price, before and after the introduction of electronic limit‐order trading, on the London Stock Exchange. As a result of limit‐order trading, the proportion of trades executed at the best execution price for the customer significantly increased. We attribute this to a sustained increase in the liquidity of stocks as a result of limit‐order trading, regardless of market capitalisation. We discuss the ethical implications of our findings and conclude that market structures that enhance market competitiveness may help reconcile broker and client interests.     

Price Discovery and Trading after Hours: New Evidence from the World’s Largest Carbon Exchange

We investigate the impact of after-hours trading on magnitude and timing of price discovery over the close-to-close period on the world’s largest carbon trading platform, the European Climate Exchange (ECX). Low-volume trading in carbon financial instruments can lead to relatively high levels of price discovery, but the generated pricing has low efficiency levels. This is associated with high levels of informed trades and low levels of liquidity trades. Our results show higher trading volume per minute and greater price efficiency for after hours when compared with regular trading hours. As a result of a higher proportion of informed trades, adverse selection costs for trades after hours are significantly larger than those for trades during the regular trading day.     

Trading Mechanisms and Market Quality: Call Markets versus Continuous Auction Markets

On July 29, 2002, the trading mechanism in the Taiwan Futures Exchange (TAIFEX) was switched from an exclusive call market to a continuous auction market. Based upon several proxies of market quality, in the present study, we set out to empirically examine whether this switch has resulted in any significant improvement in market quality within the TAIFEX. We find that while the quoted spreads, effective spreads, and price volatility are all smaller in the continuous auction market, the call auction market exhibits greater market depth and smaller pricing errors; the latter is also found to be more effective in resolving the problem of information asymmetry. Overall, the results of the present study suggest that the choice between call and continuous auction trading mechanisms essentially involves trade‐offs between the bid‐ask spread, market depth, price volatility, information asymmetry costs, and price efficiency.     

我国黄金期货市场价格波动研究

以上海期货交易所2008年1月9日至2011年6月30日的黄金期货市场量价关系为研究对象,构建了GARCH(异方差)族模型检验我国黄金期货市场的价格波动特征.研究结果表明,当分别引入黄金期货市场的交易量和持仓量时,交易量对价格波动的影响在当期和滞后期均十分显著,而持仓量对价格波动的影响在当期显著,滞后期则不显著;当同时引入黄金期货市场交易量和持仓量时,他们对价格波动的解释作用增加,且当期统计检验显著,滞后期效应则不明显.     

The information flow and market efficiency between the U.S. and Chinese aluminum and copper futures markets

This study examines the information flow and market efficiency between the metallurgical futures markets of the United States and China over a ten‐year span from 1999 to 2009. There were structural breaks in the aluminum and copper futures price series for the New York Mercantile Exchange (NYMEX) and Shanghai Futures Exchange (SHFE) between 2006 and 2008. The New York and Shanghai markets are cointegrated, indicating an equilibrium relationship between the two markets. Trading strategies are implemented to explore the error‐correction process. The overall results show that U.S. and Shanghai futures prices are closely related and both markets are comparably efficient on a daily basis. The U.S. market does not appear to be more efficient than the Chinese market in incorporating information into prices. © 2010 Wiley Periodicals, Inc. Jrl Fut Mark     

股票市场周日历效应传导关系研究

以上证综指、深证成指、恒生指数、日经225指数四种指数为研究对象,实证研究四个股市的周日历效应及其传导关系。研究发现,上证综指在一周中有三天存在周日历效应,周二负效应和周三、周五正效应;深证成指在周三和周五两天存在正效应;恒生指数和日经225指数则分别在周五和周一存在正效应和负效应。上证综指的周三、周五正效应与深证成指的周三、周五正效应互相传导;上证综指与恒生指数的周五正效应互相传导;深证成指与恒生指数的周五正效应亦互相传导;日经225指数与其他三种指数的周日历效应却不存在传导关系。     

Regulatory changes and information competition: The case of Taiwan index futures

This article examines the cross‐border competition in price discovery between the Taiwan Futures Exchange (TAIFEX) and the Singapore Exchange Derivatives Trading (SGX). We focused on the impact of market reforms on the information leadership of similar contracts traded on the two exchanges. Utilizing synchronized transaction data, it was found that reducing the futures transferring tax was the only policy change that enhanced TAIFEX's information role. Evidence supported the trading‐cost hypothesis that a lower transaction cost is associated with better price discovery. A brief linkage between trading volume and price discovery was found when data were broken down into subperiods according to the relative volume of TAIFEX and SGX. Evidence suggested that the SGX's information advantage reported in previous research had diminished as the rival market progressed. It also indicated that exchanges seeking to improve information efficiency should adopt policies that will reduce transaction costs or increase trading volume. © 2004 Wiley Periodicals, Inc. Jrl Fut Mark 24:399–412, 2004     

Trading activity in stock index futures markets: The evidence of emerging markets

This study investigates the trading activity of the Taiwan Futures Exchange (TAIFEX) and Singapore Exchange Derivatives Trading Limited (SGX‐DT) Taiwan Stock Index Futures markets by analyzing the intraday patterns of volume and volatility. In addition, the market closure theory, which may explain such patterns, is examined. Overall, the trading pattern appears to be U‐shaped for the TAIFEX futures and U+W‐shaped for the SGX‐DT. For the SGX‐DT futures, volatility follows the same pattern as that of the number of price changes. For the TAIFEX futures, however, after the peak at the close of the spot market, the volatility in the TAIFEX futures drops consistently until the end of the day while volatility in the SGX‐DT still reaches a smaller peak at the close of the futures market. In addition, a visual inspection of the intraday patterns of these two markets shows that the market closure theory can effectively explain the intraday patterns of these two markets. The empirical results support the market closure theory in that liquidity demand from traders rebalancing their portfolios before and after market closures creates larger volume and volatility at both the open and close. © 2002 Wiley Periodicals, Inc. Jrl Fut Mark 22:983–1003, 2002