Competition For Order Flow, Market Quality, And Price Discovery In The Nasdaq 100 Index Tracking Stock

We investigate competition for order flow, market quality, and price discovery in the Nasdaq 100 Index Tracking Stock (QQQ). The QQQ, an AMEX‐listed, exchange‐traded fund, is the most actively traded security in the U.S. equities market. On July 31, 2001, the NYSE began trading the QQQ, marking the first time it traded securities of companies it does not list. The greatest volume of trading takes place on electronic communication networks (ECNs), following by trading on the AMEX and the NYSE. Most of the block trades are executed on the AMEX, where the bid‐ask spreads are narrower. We find that ECNs contribute the most to the price‐discovery process. The spreads on all trading platforms have decreased and market quality and price discovery have improved since QQQ shares have traded on the NYSE.     

The effectiveness of position limits: Evidence from the foreign exchange futures markets

This study considers the effects of the relative size of hedger and speculator open interests and the potential impact of implementing position limits on the price discovery process in both JPY–USD and EUR–USD futures markets. Hedging trading exerts a negative impact, regardless of its size, on price discovery in futures markets. Hedgers are less likely to be information motivated, so their trading uniformly delays the price discovery process. However, there is a positive and nonlinear impact of speculators’ trade size on price discovery, the contribution of which depends on the relative size of the speculative open interest. Contrary to conventional wisdom among regulators, speculative trading does not harm the market in terms of market efficiency; as long as the percentage of speculators’ open interest is below an endogenously determined threshold (approximately 20% for EUR–USD and 16.3% for JPY–USD), speculative trading even improves futures market efficiency.     

Informed traders of cross-listed shares trade more in the domestic market around earnings releases

This paper examines informed trading and price discovery for Canadian shares cross-listed on the Toronto Stock Exchange and the main U.S. exchanges. The domestic Canadian market can absorb higher demand for liquidity but offers no trading cost advantage. During earnings non-announcement periods, the intra-market probability of informed trading (PI) is similar on both national markets, and both national markets contribute to price discovery. The magnitude and elapsed time over which trading volumes are increased when earnings are announced are higher in the domestic Canadian market. Around earnings announcements, PI decreases only on the U.S. market and the Canadian market contributes more to price discovery. To infer the fundamental values of the underlying cross-listed firms, market participants should monitor both markets, and intensify their monitoring of the Canadian market during earnings announcement periods.     

Trading activity and price discovery in Bitcoin futures markets

This study examines the impact of trading activities on price discovery in the Bitcoin futures markets. We find that trades of hedgers are positively correlated with the modified information shares in both CME and CBOE futures markets, suggesting that their trading promotes futures market efficiency. Retailers’ trading activity relates negatively to the price discovery of the CME Bitcoin futures and thus destabilizes the market. Speculators exert positive (negative) impact on the price discovery in the CME (CBOE) Bitcoin futures. Our finding that CME’s Bitcoin futures exhibit superior price discovery than CBOE’s provides plausible justification for CBOE’s decision in March 2019 to suspend further listings of Bitcoin futures contracts.     

The complexity of price discovery in an efficient market: the stock market reaction to the Challenger crash

We provide evidence on the speed and accuracy of price discovery by studying stock returns and trading volume surrounding the crash of the space shuttle Challenger. While the event was widely observed, it took several months for an esteemed panel to determine which of the mechanical components failed during the launch. By contrast, in the period immediately following the crash, securities trading in the four main shuttle contractors seemingly singled out the firm that manufactured the faulty component. We show that price discovery occurred without large trading profits and that much of the price discovery occurred during a trading halt of the firm responsible for the faulty component. Finally, although we document what are arguably quick and accurate movements of the market, we are unable to detect the actual manner in which particular informed traders induced price discovery.     

The impact of lunchtime closure on market behaviour: evidence from the Sydney Futures Exchange

This paper examines the impact of lunchtime closure on market behaviour. Between May and September, 1994 the Sydney Futures Exchange trialed lunchtime trading. The trial provides a unique natural laboratory experiment for examining the impact of lunchtime closure. The analysis reported in this paper documents abnormally high bid ask spreads, price volatility and trading volume on re‐opening of the market following lunchtime closure. These results confirm that closure has an impact on trading activity, and are consistent with the effects of strategic informed trading, a loss in price discovery and/or trading associated with risk transfer. An abnormal increase in trading volume prior to lunchtime closure is also documented, providing unambiguous evidence of trading activity motivated by risk transfer. Overall these results imply that lunchtime closure disrupts trading activity and reduces market quality by imposing additional costs on market participants.     

The impact of lunchtime closure on market behaviour: evidence from the Sydney Futures Exchange

This paper examines the impact of lunchtime closure on market behaviour. Between May and September, 1994 the Sydney Futures Exchange trialed lunchtime trading. The trial provides a unique natural laboratory experiment for examining the impact of lunchtime closure. The analysis reported in this paper documents abnormally high bid ask spreads, price volatility and trading volume on re‐opening of the market following lunchtime closure. These results confirm that closure has an impact on trading activity, and are consistent with the effects of strategic informed trading, a loss in price discovery and/or trading associated with risk transfer. An abnormal increase in trading volume prior to lunchtime closure is also documented, providing unambiguous evidence of trading activity motivated by risk transfer. Overall these results imply that lunchtime closure disrupts trading activity and reduces market quality by imposing additional costs on market participants.     

ARE PRICE LIMITS EFFECTIVE? EVIDENCE FROM THE ISTANBUL STOCK EXCHANGE

There is considerable discussion about controlling volatility by imposing price limits on asset prices. We examine the effects of price limits on a stock market by testing the volatility spillover, delayed price discovery, and trading interference hypotheses in a leading emerging market, the Istanbul Stock Exchange, which has a unique market microstructure as related to price limits. Our results support the volatility spillover, delayed price discovery, and trading interference hypotheses. We also show price locks at limits provide significantly stronger evidence regarding the effects of price limits than limit moves only. Finally, price limits have a significant effect on the stock market, casting doubt on their effectiveness.     

The dynamics of price discovery for cross-listed shares: Evidence from Australia and New Zealand

This paper studies the dynamics of price discovery for markets with bilateral cross-listings. Using a sample of four Australian stocks cross-listed in New Zealand and five New Zealand stocks cross-listed in Australia for the period January 2002 to December 2007, we assess Hasbrouck (1995) information shares and Grammig et al. (2005) conditional information shares over time. We observe that in both cases the home market is dominant in terms of price discovery. However, when studying price discovery over time, we find that the importance of the Australian market (the larger of the two markets) is increasing for both Australian and New Zealand domiciled firms. Finally, using panel regression analysis, we find that the growth in the importance of the Australian market is positively related to the growth in the size of the firm and negatively related to the size of the percentage spread in the Australian market, implying that as firms grow larger and their cost of trading in Australia declines, the Australian market becomes more informative.     

Information transmission in informationally linked markets: Evidence from US and Chinese commodity futures markets

This paper investigates information transmission and price discovery in informationally linked markets within the multivariate generalized autoregressive conditional heteroskedasticity and information share frameworks. Based on both synchronous and non-synchronous trading information from Chinese futures/spot markets, the New York Mercantile Exchange (NYMEX), Chicago Board of Trade (CBOT), and CME Globex futures markets for copper and soybeans, we show that there is a bidirectional relationship in terms of price and volatility spillovers between US and Chinese markets, with a stronger effect from US to Chinese markets than the other way around. Additionally, the NYMEX and CBOT play a more important role than the CME Globex in the flow of information from US to Chinese markets. Moreover, we find that Chinese copper market adjusts more quickly than the NYMEX copper market to correct the disparity between both markets. However, the converse is true in the case of soybeans. Finally, our results highlight the remarkable role of Chinese futures markets in the price formation process, though NYMEX and CBOT futures markets are the main driving force in price discovery.     

Automating the price discovery process: Some international comparisons and regulatory implications

Automated trade execution systems are examined with respect to the degree to which they automate the price discovery process. Seven levels of automation of price discovery are identified, and 47 systems are classified according to these criteria. Systems operating at various levels of automation are compared with respect to age, geographical location, and type of securities traded. Information provided to market participants and asymmetries of information between traders with direct access to the automated market and outside investors also are examined. It is found, for example, that the degree of asymmetric information increases with the level of automation of price discovery. The potential for trading abuses related to prearranged trading, noncompetitive execution, and trading ahead of customers is analyzed for each level of automation. Certain levels of automation widen the opportunities for trading abuses in some respects, but may narrow them in others.     

Price Discovery for Segmented US-Listed Chinese Stocks: Location or Market Quality?

Abstract:  This study extends the cross-listing literature by examining how, and to what extent, the trading of cross-listed China-backed ADRs on the New York Stock Exchange contributes to information flows and price discovery for the corresponding stocks traded in China's A-share market. We find that the cross-listed US prices and Chinese prices are not cointegrated in the long-run and the home market plays a far more important role in both price discovery and volatility spillover than does the US market. The home bias hypothesis still holds for the segmented Chinese A-share market and the location where price discovery actually originates is the essential factor in the process of international information transmission.     

Trading costs and price discovery

The price discovery roles of a set of related markets or securities have been investigated in many different settings where trading costs effect is often commingled with other trading arrangement factors. In Hong Kong, regular futures and mini futures contracts as well as their underlying spot asset are all traded on a same electronic trading platform. The trading arrangements thus provide us with a unique setting where we can isolate the impacts of transaction costs on price discovery. Using Hasbrouck’s (J Finance 50:1175–1199, 1995) information share approach, it is found that in Hong Kong, the regular futures contracts market plays a dominant role in price discovery while the mini futures and cash index markets play minor roles. The results in this paper provide an unequivocal support to the trading costs hypothesis.     

The price discovery role of day traders in futures market: Evidence from different types of day traders

Using proprietary account-level transaction data in the futures market where day traders are self-declared ex ante, this study investigates whether day traders enhance price discovery at the market level. From a natural classification of day traders, we find that heterogeneous day traders have differential effects on price discovery. Self-declared day traders, who benefit from low margin requirement, do not improve price discovery measured by information share. In contrast, non-declared traders, who are not self-declared as day traders, improve price discovery. Their positive impacts on price discovery are particularly significant during periods of high volatility and arrival of new information. Overall, a margin stimulating policy may encourage more day trading, but may also attract overconfident investors, especially inexperienced ones, and who do not enhance price discovery.     

Informed Trading in Stock and Option Markets

We investigate the contribution of option markets to price discovery, using a modification of Hasbrouck's (1995) "information share" approach. Based on five years of stock and options data for 60 firms, we estimate the option market's contribution to price discovery to be about 17% on average. Option market price discovery is related to trading volume and spreads in both markets, and stock volatility. Price discovery across option strike prices is related to leverage, trading volume, and spreads. Our results are consistent with theoretical arguments that informed investors trade in both stock and option markets, suggesting an important informational role for options.     

Information shares of two parallel currency options markets: Trading costs versus transparency/tradability

This paper studies whether trading costs or transparency/tradability are more important to price discovery using a unique dataset of currency options that trade simultaneously in two parallel markets. The Over-The-Counter (OTC) market is characterized by sophisticated investors, low trading costs, and low transparency/tradability compared to the Tel-Aviv Stock Exchange (TASE). Pricing errors are much larger on the TASE and the information share of the OTC market is significantly larger than that of the TASE by various information share measures, showing that trading costs and trader type have a first-order effect on price discovery while transparency/tradability have a second-order effect.     

Which market dominates the price discovery in currency futures? The case of the Chicago Mercantile Exchange and the Intercontinental Exchange

This paper examines the relative contributions to the price discovery process of EUR/USD futures traded in the Chicago Mercantile Exchange (CME) and the Intercontinental Exchange (ICE). We find that the CME contributes 66.4%, 92.7%, and 97.3% to the price discovery process according to information share metrics suggested by Harris, McInish, and Wood (2002), Hasbrouck (1995), and Putninš (2013), respectively. The intraday information share metrics also show that the CME dominates the price discovery in most time periods. We attribute the CME's price discovery leadership to its higher trading activity, lower transaction costs, and higher volatility as compared to the ICE.     

Can Island Provide Liquidity and Price Discovery in the Dark?

On September 23, 2002, facing a regulatory mandate issued by the Securities and Exchange Commission, Island teminated the position of the Nasdaq 100 Index Tracking Stock (QQQ) on its book. While the market volume remained almost the same, Island's market share in the QQQ fell significantly. However, Island still dominates other trading centers in the price discovery process and volatility spillovers. The spreads on most trading centers became narrower after Island removed its quotes from the public view. The overall results suggest that the decrease in market transparency does not compromise market liquidity. Informed traders who provide price discovery in the QQQ are willing to sacrifice potential price improvements for the fast speed and reliable execution that Island offers, and are able to trade in the absence of displayed quotes.     

Price discovery on the S&P 500 index markets: An analysis of spot index,index futures,and SPDRs

This paper investigates the price discovery function in three S&P 500 index markets: the spot index, index futures, and S&P Depositary Receipts markets. Four hypotheses regarding market structure and security design are proposed to differentiate the price discovery function performed by the three index instruments. Using matched synchronous intraday trading data, Johansen's maximum likelihood estimator is employed to disclose the cointegration relationships among the three markets. Results indicate that the three price series are a cointegrated system with one long-run stochastic trend. Estimated coefficients of the vector error correction model suggest that price adjustment takes place in the spot index market and for SPDRs, but not in the futures market. When the common stochastic trend is decomposed, it is found that the futures market serves the dominant price discovery function. The leverage hypothesis and the uptick rule hypothesis explain its superior price discovery function.     

Price discovery and volatility spillovers in index futures markets: Some evidence from Mexico

This paper investigates the hypotheses that the recently established Mexican stock index futures market effectively serves the price discovery function, and that the introduction of futures trading has provoked volatility in the underlying spot market. We test both hypotheses simultaneously with daily data from Mexico in the context of a modified EGARCH model that also incorporates possible cointegration between the futures and spot markets. The evidence supports both hypotheses, suggesting that the futures market in Mexico is a useful price discovery vehicle, although futures trading has also been a source of instability for the spot market. Several managerial implications are derived and discussed.