Impact of a tick size reduction on liquidity: evidence from the Sydney Futures Exchange

This paper examines the impact of a reduction in the minimum price increment on liquidity and execution costs in a futures market setting. In 2006, the Sydney Futures Exchange halved the minimum tick in the 3 Year Commonwealth Treasury Bond Futures. Results indicate that bid‐ask spreads are significantly reduced after the change. Quoted depth, both at the best quotes and visible in the limit order book, is significantly lower after the tick reduction. Further analysis reveals that execution costs are significantly reduced after the change. We conclude that a tick size reduction improves liquidity and reduces execution costs in a futures market setting.     

Differences in the Cost of Trade Execution Services on Floor-Based and Electronic Futures Markets

This paper provides new evidence on the impact of electronic trading on brokerage commissions by investigating a sample period that covers the period of transition from floor to electronic trading on the Sydney Futures Exchange. After controlling for liquidity, volatility and broker identity, the introduction of electronic trading remains to be associated with lower brokerage commissions relative to floor markets. The study also provides new evidence on brokerage commissions in futures markets finding that commission fees charged on futures trades average 0.002% of transaction value. This is up to 120 times smaller than the magnitude of brokerage fees charged in stock markets, and considerably lower than the magnitude of brokerage fees assumed for futures markets in previous research. Consistent with existing studies based on stock markets, commissions charged per contract decrease with order size reflecting economies of scale in the provision of brokerage services in futures markets. Commission rates are positively related to bid-ask spreads and price volatility, which proxy for the probability of execution error costs and execution difficulty, respectively. Finally, the identity of the broker is found to be a significant determinant of commissions reflecting different pricing schedules across brokers.     

Information-Based Trading in the Treasury Note Interdealer Broker Market

Despite its pervasive presence in world financial markets, there are few studies of interdealer broker markets. This paper examines the trading behavior of primary dealers in the 5-year Treasury note interdealer broker market. The analysis examines trading patterns, announcement effects, and volatility–volume relations. The results show that trading frequency is consistent with activity motivated by public information or dealer's private knowledge of inventory or order flow information. Additionally, although the interdealer broker market is an anonymous electronic compilation and matching system without designated market makers, trade size does not appear to have any information content. Journal of Economic Literature Classification Numbers: C22, G14.     

Understanding the impact of monetary policy announcements: The importance of language and surprises

Monetary policy announcements have a significant impact on financial market liquidity. This study provides a novel perspective on the factors driving this relationship in the market for 10-year Treasury note futures: Target rate surprises and the complexity of the monetary policy statement language are important determinants. Differences of opinion resulting from interpretation of complex language appear to result in more trading volume despite relatively low levels of liquidity (a negative liquidity-volume relationship), while large target rate surprises reduce trading activity (a positive liquidity-volume relationship). The dynamic changes over time, as unconventional polices are adopted by monetary authorities and, high frequency traders become more pervasive. Central bankers may aid market liquidity by minimizing surprises, and issuing statements that are easier to understand (with shorter sentences and more familiar words).     

An empirical analysis of the supply of liquidity by locals in futures markets: Evidence from the Sydney Futures Exchange

Contrary to the received view of market makers in theoretical literature, this study provides direct evidence that locals on the Sydney Futures Exchange (SFE) do not trade exclusively as passive market participants. In fact, rather than act purely as market makers, locals as a group are almost as likely to demand as supply liquidity. Further, locals trading on the floor of the SFE are less likely to supply liquidity when bid–ask spreads, trading frequency and price volatility are high, as well as around information announcements. These findings are consistent with aggressive trading by locals on the basis of a short-lived information advantage. This study also documents considerable diversity in the propensity of locals to supply liquidity, finding that it is related to the quantity, frequency and average size of their trading activity.     

Valuation and Optimal Exercise of the Wild Card Option in the Treasury Bond Futures Market

The Chicago Board of Trade Treasury Bond Futures Contract allows the short position several delivery options as to when and with which bond the contract will be settled. The timing option allows the short position to choose any business day in the delivery month to make delivery. In addition, the contract settlement price is locked in at 2:00 p .m . when the futures market closes, despite the facts that the short position need not declare an intent to settle the contract until 8:00 p .m . and that trading in Treasury bonds can occur all day in dealer markets. If bond prices change significantly between 2:00 and 8:00 p .m ., the short has the option of settling the contract at a favorable 2:00 p .m . price. This phenomenon, which recurs on every trading day of the delivery month, creates a sequence of 6-hour put options for the short position which has been dubbed the “wild card option.” This paper presents a valuation model for the wild card option and computes estimates of the value of that option, as well as rules for its optimal exercise.     

Automation versus Intermediation: Evidence from Treasuries Going Off the Run

This paper examines the choice of trading venue by dealers in U.S. Treasury securities to determine when services provided by human intermediaries are difficult to replicate in fully automated trading systems. When Treasury securities go “off the run” their trading volume drops by more than 90%. This decline in trading volume allows us to test whether intermediaries' knowledge of the market and its participants can uncover hidden liquidity and facilitate better matching of customer orders in less active markets. Consistent with this hypothesis, the market share of electronic intermediaries falls from 81% to 12% when securities go off the run.     

Liquidity provider incentives in fragmented securities markets

We test theoretical predictions of changes in make/take fees in a setting with isolated make rebates for liquidity providers on a single trading venue (Xetra) by examining the impact on both Xetra and the overall market. The rebates lead to higher quoted depth but do not change bid–ask spreads or trading volume on Xetra. For the overall market, no change in trading volume or liquidity is observable. This shows that market participants redistribute their orders to the venue offering fee rebates rather than providing additional liquidity to the overall market. Consequently, the impact of fee changes depends on the setting.     

Market Liquidity and Trading Activity

Previous studies of liquidity span short time periods and focus on the individual security. In contrast, we study aggregate market spreads, depths, and trading activity for U.S. equities over an extended time sample. Daily changes in market averages of liquidity and trading activity are highly volatile and negatively serially dependent. Liquidity plummets significantly in down markets. Recent market volatility induces a decrease in trading activity and spreads. There are strong day-of-the-week effects; Fridays accompany a significant decrease in trading activity and liquidity, while Tuesdays display the opposite pattern. Long- and short-term interest rates influence liquidity. Depth and trading activity increase just prior to major macroeconomic announcements.     

Intraday futures market behaviour around major scheduled macroeconomic announcements: Australian evidence

This paper examines intraday futures market behaviour around major scheduled macroeconomic information announcements on the Sydney Futures Exchange (SFE). Prior literature analysing intraday price behaviour around announcements is extended to trading volume and quoted bid–ask spreads. The analysis of price volatility, trading volume and quoted bid–ask spreads indicates that the majority of adjustment to new information occurs rapidly, within 240 seconds of the scheduled time for major announcements, with some evidence of abnormal activity prior to announcements. Analysis of quoted bid–ask spreads suggests that they significantly widen in the 20 seconds prior to announcements and remain significantly wider for 30 seconds following announcements. The increase in quoted spreads is related to both expected and unexpected volatility, implying that market participants increase quoted spreads around information announcements as a consequence of adverse selection costs.     

Order-to-trade ratios and market liquidity

We study the impact on market liquidity of the introduction of a penalty for high order-to-trade ratios (OTRs), implemented by the Italian Stock Exchange to curtail high-frequency quote submission. We find that the fee is associated with a collapse in the quoted depth of the stocks that make up the bulk of trading in Italian equities and with an increase in price impacts of trading across the treated stocks. Spreads do not change, however. Stocks from a pan-European control sample show no such liquidity changes. Thus, the Italian OTR fee had the effect of making Italian stocks markets more shallow and less resilient. Large stocks are more severely affected than midcaps. We also find evidence of a limited decrease in turnover. Consolidated liquidity, constructed by aggregating across all electronic trading venues for these stocks, decreases just like that on the main exchange. Thus, liquidity was not simply diverted from the main exchange, it was reduced in aggregate.     

Are Liquidity and Information Risks Priced in the Treasury Bond Market?

We provide a comprehensive empirical analysis of the effects of liquidity and information risks on expected returns of Treasury bonds. We focus on the systematic liquidity risk of Pastor and Stambaugh as opposed to the traditional microstructure-based measures of liquidity. Information risk is measured by the probability of information-based trading (PIN). We document a strong positive relation between expected Treasury returns and liquidity and information risks, controlling for the effects of other systematic risk factors and bond characteristics. This relation is robust to many empirical specifications and a wide variety of traditional liquidity and informed trading proxies.     

流动性补偿、市场内及跨市场“流动性转移”行为

本文分析了我国国债市场的流动性补偿问题,讨论了国债市场内部不同债券之间的流动性转移(Flight-to-liquidity)行为以及国债与企业债市场之间的跨市场流动性转移行为。研究结果发现:流动性显著影响我国国债市场收益率;我国国债市场上,国债市场内部不同债券之间的流动性转移行为显著,当投资者发现债券的流动性变差时,将在国债市场范围内选择流动性好的债券进行投资转移;国债市场与企业债券市场之间的跨市场流动性转移行为比较微弱。     

Implicit delivery options and optimal delivery strategies for financial futures contracts

Futures contract specification usually allow the short position some variation as to when, where, how much, and what is to be delivered. In this paper we derive the optimal delivery policy for the Treasury Bond futures contracts, and find that our policy produces profits that are positive and statistically significant. This indicates that future prices are ‘too high’ in that the short position can earn profits by skillfully exercising his delivery options. We find the actual delivery policies of market participants depart substantially from the optimal strategy. The implications of these findings for futures traders and bond dealers are discussed.     

Depth improvement and adjusted price improvement on the New York stock exchange

Traditional price improvement improperly assesses large orders’ execution quality by ignoring additional liquidity depth-exceeding orders receive at the quoted price and viewing orders that “walk the book” as “disimproved”. Ignoring this additional liquidity is particularly problematic when assessing execution quality in markets with significant non-displayed liquidity. To correct this deficiency, we modify the price benchmark used to determine whether an order is price improved by making the benchmark a function of the order's size relative to the quoted depth. We document that the differences between conventional price improvement and our measure, adjusted price improvement, can be dramatic and show that the difference depends on trading volume, stock price, and volatility.     

Do economic statistics contain information to predict stock indexes futures prices and returns? Evidence from Asian equity futures markets

This research examines the impact of local and international market factors on the pricing of stock indexes futures in East Asian countries. The purpose of this paper is to present a study of the significant factors that determine the major stock indexes futures’ prices of Hong Kong, Malaysia, Singapore, South Korea and Taiwan. This study first investigates the relationships between Hang Seng Index Futures, KLCI Futures, SiMSCI Futures, KOSPI Futures, Taiwan Exchange Index Futures and local interest rates, dividend yields, local exchange rates, overnight S&P500 index and a newly constructed index, Asian Tigers Malaysia Index (ATMI). 11 years historical data of stock indexes futures and the economic statistics are studied; 10 years in-sample data are used for testing and developing the pricing models, and 1 year out-of-sample data is used for the purpose of verifying the predicted values of the stock indexes futures. Using simple linear regressions, local interest rates, dividend yields, exchange rates, overnight S&P500 and ATMI are found to have significant impact on these futures contracts. In this research, the next period close is predicted using simple linear regression and non-linear artificial neural network (ANN). An examination of the prediction results using nonlinear autoregressive ANN with exogenous inputs (NARX) shows significant abnormal returns above the passive threshold buy and hold market returns and also above the profits of simple linear regression (SLR). The empirical evidence of this research suggests that economic statistics contain information which can be extracted using a hybrid SLR and NARX trading model to predict futures prices with some degree of confidence for a year forward. This justifies further research and development of pricing models using fundamentally significant economic determinants to predict futures prices.

     

Affirmative obligations and market making with inventory

Existing empirical studies provide little support for the theoretical prediction that market makers rebalance their inventory through revisions of quoted prices. This study provides evidence that the NYSE's specialist does engage in significant inventory rebalancing, but only when not constrained by the affirmative obligation to provide liquidity imposed by the Price Continuity rule. The evidence also suggests that such obligations are associated with better market quality, but impose significant costs on the specialist. The specialist mitigates these costs through discretionary trading when the rule is not binding. These findings shed light on how exchange rules affect market makers’ behavior and market quality.     

OPTIONS LISTING, MARKET LIQUIDITY AND STOCK BEHAVIOUR: SOME CANADIAN EVIDENCE

This study examines the price behaviour, trading volume and liquidity of stocks in the Canadian market at the time of options listing. Unlike some studies examining similar effects in the United States, the present one finds no evidence to indicate that either daily return volatility or trading volume is affected by the listing. Similarly, liquidity, as measured by the bid-ask spread, is unaffected. At the same time, cross-sectional tests indicate an inverse relationship between before-to-after trading volume and the before-to-after bid-ask spread.     

Effect of ownership,governance, and transparency on liquidity – Chilean evidence

Companies with relatively thin trading, a high concentration of insider ownership, and a privatized pension system characterize Chile’s Santiago Stock Exchange. Within this setting, we study the relationship between ownership concentration, corporate governance, and stock market liquidity. Our results suggest that board independence, corporate disclosure and outside monitoring by institutions help moderate the effects that insiders have on trading costs and liquidity. We also find that market makers with inventory reduce the informational component of trading costs. Finally, the trades of insiders provide price guidance to market makers, while traders employ a follow-the-insider strategy when transparency is low.     

Liquidity Dynamics Around Jumps: The Evidence from the Warsaw Stock Exchange

The aim of our study is to examine the dynamics of trading volume and the number of trades around jumps detected in intraday stock returns. We detect jumps in equally spaced 10-minute returns for most liquid stocks quoted on the Warsaw Stock Exchange within one-year sample period. We match jumps with macroeconomic and firm specific news. We find that only the minority of jumps is associated with public information releases, whereas the majority of them is motivated by liquidity shocks observed in the spreads, volume, and the number of trades. Our findings show that jumps are related to the inability of the market to absorb new and big orders. Liquidity shocks in volatility, volume, and quoted spread are the key drivers accompanying the occurrence of the jumps. Finally, the introduction of a faster and more efficient trading system improves the liquidity by increasing the depth of the market.