Bid‐ask spreads,volatility, quote revisions,and trades of thinly traded futures contracts

We investigate intraday bid‐ask spreads (BAS), volatility, and trading activity of thinly traded equity index futures contracts on the Singapore Exchange. Contrary to previous findings, we find a rather flat BAS pattern during the trading day. However, consistent with past findings, an increase in risk widens the spread and a higher trading activity reduces it. When trading occurs in a day, spreads are reduced. No significant difference in volatility between days with and without trades was detected. When trades occur, quote revisions increase, and it is positively related to the number of trades. An increase in the number of quote revisions increases the likelihood of a transaction, and when quotes are current, revisions that are accompanied by trades carry new information. We provide evidence that contracts that are thinly traded may possess liquidity attributes as long as their price quotes remain current. © 2003 Wiley Periodicals, Inc. Jrl Fut Mark 23:455–486, 2003     

A non‐lattice pricing model of American options under stochastic volatility

In this article, an analytical approach to American option pricing under stochastic volatility is provided. Under stochastic volatility, the American option value can be computed as the sum of a corresponding European option price and an early exercise premium. By considering the analytical property of the optimal exercise boundary, the formula allows for recursive computation of the American option value. Simulation results show that a nonlattice method performs better than the lattice‐based interpolation methods. The stochastic volatility model is also empirically tested using S&P 500 futures options intraday transactions data. Incorporating stochastic volatility is shown to improve pricing, hedging, and profitability in actual trading. © 2006 Wiley Periodicals, Inc. Jrl Fut Mark 26:417–448, 2006     

Mid-day volatility spikes in U.S. futures markets

Recent work offers mixed results regarding the nature of intraday volatility patterns in futures markets and, specifically, the existence of spikes in futures return volatility during the middle of the U.S. trading day (Crain & Lee, 1995; Kawaller, Koch, & Peterson, 1994). This note analyzes time and sales data on two markets—Eurodollar futures and deutsche mark futures—to investigate the existence of such spikes, and to examine the nature of changes in intraday volatility patterns over time. © 1999 John Wiley & Sons, Inc. Jrl Fut Mark 19: 195–216, 1999     

The impact of electronic trading on bid‐ask spreads: Evidence from futures markets in Hong Kong,London, and Sydney

During 1999 and 2000, three major futures exchanges transferred trading in stock index futures from open outcry to electronic markets: the London International Financial Futures and Options Exchange (LIFFE); the Sydney Futures Exchange (SFE); and the Hong Kong Futures Exchange (HKFE). These changes provide unique natural experiments to compare relative bid‐ask spreads of open outcry vs. electronically traded markets. This paper provides evidence of a decrease in bid‐ask spreads following the introduction of electronic trading, after controlling for changes in price volatility and trading volume. This provides support for the proposition that electronic trading can facilitate higher levels of liquidity and lower transaction costs relative to floor traded markets. However, bid‐ask spreads are more sensitive to price volatility in electronically traded markets, suggesting that the performance of electronic trading systems deteriorates during periods of information arrival. © 2004 Wiley Periodicals, Inc. Jrl Fut Mark 24:675–696, 2004     

Measuring and forecasting S&P 500 index‐futures volatility using high‐frequency data

In the 24‐hr foreign exchange market, Andersen and Bollerslev measure and forecast volatility using intraday returns rather than daily returns. Trading in equity markets only occurs during part of the day, and volatility during nontrading hours may differ from the volatility during trading hours. This paper compares various measures and forecasts of volatility in equity markets. In the absence of overnight trading it is shown that the daily volatility is best measured by the sum of intraday squared 5‐min returns, excluding the overnight return. In the absence of overnight trading, the best daily forecast of volatility is produced by modeling overnight volatility differently from intraday volatility. © 2002 Wiley Periodicals, Inc. Jrl Fut Mark 22:497–518, 2002     

BitMEX bitcoin derivatives: Price discovery,informational efficiency,and hedging effectiveness

BitMEX is the largest unregulated bitcoin derivatives exchange, listing contracts suitable for leverage trading and hedging. Using minute-by-minute data, we examine its price discovery and hedging effectiveness. We find that BitMEX derivatives lead prices on major bitcoin spot exchanges. Bid–ask spreads, interexchange spreads, and relative trading volumes are important determinants of price discovery. Further analysis shows that BitMEX derivatives have positive net spillover effects, are informationally more efficient than bitcoin spot prices, and serve as effective hedges against spot price volatility. Our evidence suggests that regulators prioritize the investigation of the legitimacy of BitMEX and its contracts.     

Price discovery in the German equity index derivatives markets

This article examines the intraday price discovery process among stock index, index futures, and index options in Germany using DAX index securities and intraday transactions data. The three index securities contribute to a common factor, but the spot index and index futures have substantially larger information shares than index options. Moreover, the returns of the three index securities exhibit feedback effects, with futures being dominant. Because the trading costs of the futures appear to be the lowest of the three and those of the options to be the highest, the results are consistent with the transaction cost hypothesis. © 1999 John Wiley & Sons, Inc. Jrl Fut Mark 19: 619–643, 1999     

A rare move: The effects of switching from a closing call auction to a continuous trading

This study investigates the effects of switching to a closing continuous trading (CCT) on market quality, while considering the trading behaviors of different types of traders. Investors become more patient in the period preceding the last trading phase, which reduces the bid–ask spread (BAS) in that period. We find an increase in the BAS and volatility during the last trading phase, due to diminishing investor patience. Market volatility and the closing pricing errors relate positively to the trading activities of foreign institutional investors. Overall, the introduction of the CCT worsens the market quality before the closing.     

Market microstructure of FT-SE 100 index futures: An intraday empirical analysis

This article examines the market microstructure of the FT-SE Index futures market by analyzing the intraday patterns of bid-ask spreads and trading activity. The patterns are remarkably different from those of stock and options markets because of the futures market's open outcry system with frenzied scalpers/short-term marketmakers. Spreads are stable over the day, but decline sharply at the close and increase when U.S. macroeconomic news is distributed. Traders actively trade at the open with narrow spreads and large trade sizes. Volatility and volume have higher values at the open and close and when U.S. news is released. The overall results suggest that information asymmetry in the index futures market is insignificant, and traders find it easy to control inventory. The results are also broadly consistent with the Grossman and Miller (1988) model that describes liquidity as the price of transaction demand for immediacy. © 1999 John Wiley & Sons, Inc. Jrl Fut Mark 19: 31–58, 1999     

Intraday Liquidity Provision by Trader Types in a Limit Order Market: Evidence from Taiwan Index Futures

This study examines the dynamic liquidity provision process by institutional and individual traders in the Taiwan index futures market, which is a pure limit order market. The empirical analysis obtains several interesting empirical results. We find that trader type affects liquidity provision in a number of interesting ways. First, although institutional traders use more limit orders than market orders, foreign institution (individual) traders use a relatively higher percentage of market (limit) orders in the early trading session and then switch to more limit (market) orders for the remainder of the day until close to the end of the trading day. Second, net limit order submissions by both institutional and individual traders are positively related to one‐period lagged transitory volatility and negatively related to informational volatility. Third, net limit order submissions by institutional traders are positively related to one‐period lagged spread. Finally, both the state of limit order book and order size significantly influence all types of traders’ strategy on submission of limit order versus market order during the intraday trading session. © 2012 Wiley Periodicals, Inc. Jrl Fut Mark 34:145–172, 2014     

Execution quality in open‐outcry futures markets

This study examines the composition of customer order .flow and the execution quality for different types of customer orders in six futures pits of the Chicago Mercantile Exchange (CME). It is shown that off‐exchange customers frequently provide liquidity to other traders by submitting limit orders. The determinants of customers' choice between limit and market orders are examined, and it is found that higher bid—ask spreads increase the limit‐order submission frequency, and increased price volatility makes limit‐order submission less likely. Effective spreads, trading revenues, and turnaround times for customer liquidity‐demanding and limit orders are also documented. Consistent with evidence from equity markets, the results show that limit‐order traders receive better executions than traders using liquidity‐demanding orders, but incur adverse selection costs. © 2005 Wiley Periodicals, Inc. Jrl Fut Mark 25:1067–1092, 2005     

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.     

A further investigation of the lead–lag relationship between the spot market and stock index futures: Early evidence from Korea

In this article, we investigate possible lead and lag relationship in returns and volatilities between cash and futures markets in Korea. Utilizing intraday data from the newly established futures market in Korea, we find that the futures market leads the cash market by as long as 30 minutes. This result is consistent with previous studies for the U.S. and other countries’ futures markets. With regard to volatility interaction between spot and futures markets, we find that, unlike the above results for returns, a bidirectional causality is more prevalent between cash and futures markets, and this relationship is entirely sample dependent. We also find that the trading volume has significant explanatory power for volatility changes in both spot and futures markets. © 1999 John Wiley & Sons, Inc. Jrl Fut Mark 19: 217–232, 1999     

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.     

Intraday time-series momentum: Evidence from China

This study conducts an investigation of intraday time-series momentum across four Chinese commodity futures contracts: copper, steel, soybean, and soybean meal. Our results indicate that the first half-hour return positively predicts the last half-hour return across all four futures. Furthermore, in metals markets, we find that first trading sessions with high volume or volatility are associated with the strongest intraday time-series momentum dynamics. Based on this, we propose an intraday momentum informed trading strategy that earns a return in excess of standard always long and buy-and-hold benchmarks.     

Intraday Volatility in Interest‐Rate and Foreign‐Exchange Markets: ARCH,Announcement, and Seasonality Effects

We explore the determinants of intraday volatility in interest‐rate and foreign‐exchange markets, focusing on the importance and interaction of three types of information in predicting intraday volatility: (a) knowledge of recent past volatilities (i.e., ARCH or Autoregressive Conditional Heteroskedasticity effects); (b) prior knowledge of when major scheduled macroeconomic announcements, such as the employment report or Producer Price Index, will be released; and (c) knowledge of seasonality patterns. We find that all three information sets have significant incremental predictive power, but macroeconomic announcements are the most important determinants of periods of very high intraday volatility (particularly in the interest‐rate markets). We show that because the three information sets are not independent, it is necessary to simultaneously consider all three to accurately measure intraday volatility patterns. For instance, we find that most of the previously documented time‐of‐day and day‐of‐the‐week volatility patterns in these markets are due to the tendency for macroeconomic announcements to occur on particular days and at particular times. Indeed, the familiar U‐shape completely disappears in the foreign‐exchange market. We also find that estimates of ARCH effects are considerably altered when we account for announcement effects and return periodicity; specifically, estimates of volatility persistence are sharply reduced. Separately, our results show that high volatility persists longer after shocks due to unscheduled announcements than after equivalent shocks due to scheduled announcements, indicating that market participants digest information much more quickly if they are prepared to receive it. However, contrary to results from equity markets, we find no evidence of a meaningful difference in volatility persistence after positive or negative price shocks. © 2001 John Wiley & Sons, Inc. Jrl Fut Mark 21: 517–552, 2001     

Intraday behavior of market depth in a competitive dealer market: A note

This study is the first to examine the intraday behavior of quoted depth in a competitive dealer market. In sharp contrast to previous research that focuses on specialist markets, quoted depth is lowest at the open of trading, plateaus around the middle of the day, and then dramatically increases in the final hours of trading, peaking at the close. This peak in quoted depth coincides with a narrowing in bid‐ask spreads, and is contrary to intraday patterns documented for specialist markets. The authors conclude that the increase in depth and narrowing of bid‐ask spreads at the close is driven by dealers rebalancing inventories to achieve target inventory levels in a competitive market. © 2008 Wiley Periodicals, Inc. Jrl Fut Mark 28:294–307, 2008     

Equity volatility,bond yields,and yield spreads

This study examines the impact of implied and contemporaneous equity market volatility on Treasury yields, corporate bond yields, and yield spreads over Treasuries. The CBOE VIX is the measure of implied volatility, and the measure of contemporaneous volatility is constructed using intraday squared S&P 500 returns. We find that bond yields and spreads respond to changes in equity market volatility in a manner consistent with a flight‐to‐quality effect. Both short‐ and long‐term Treasury yields fall in response to increases in implied volatility, and the yield curve flattens modestly. Yields on short‐term investment grade bonds fall in response to contemporaneous volatility shocks, while long‐term spreads on low‐quality issues widen. This indicates that investors “look ahead” in anticipation of changes in equity market volatility but respond more strongly to changes in contemporaneous market activity. © 2011 Wiley Periodicals, Inc. Jrl Fut Mark     

The components of bid‐ask spread and their determinants: TAIFEX versus SGX‐DT

This paper compares the intraday components of bid‐ask spread in Taiwan stock index futures traded on Taiwan Futures Exchange (TAIFEX) and Singapore Exchange Derivatives Trading Limited (SGX‐DT). Variables that determine the components of spread are also examined. SGX‐DT uses a floor trading system while TAIFEX uses an electronic call system. This study finds that both information asymmetry and order processing cost components exhibit U‐shaped patterns in the two markets, in contrast to previous findings for U.S. equity markets. Moreover, the information asymmetry components are lower in the TAIFEX relative to the SGX‐DT futures, suggesting that the continuous open outcry markets are more vulnerable to information asymmetry than the electronic call markets. The regression results show that volatility and information are the major determinants of the components while number of trades is not the major determinant of the order processing and information asymmetry components for both markets. © 2004 Wiley Periodicals, Inc. Jrl Fut Mark 24:835–860, 2004     

The effect of futures trading on the distribution of spot index returns: Implications for CVaR in the Spanish market

There is extensive empirical research on the potential destabilizing effects of futures trading activity on spot market volatility. Rather than just focusing on spot volatility, the authors deal with the contemporaneous relationship between futures trading volume and the overall probability distribution of spot market returns. Empirical evidence using intraday data from the Spanish stock index futures market over the period 2000–2002 is provided. Their findings reveal that the density function of spot return conditional to spot volume depends on unexpected futures trading volume.