Trading and information in futures markets

This paper studies the trading behavior of different types of traders (customer type indicators [CTI's]) in corn futures. Nonmembers (CTI4) consume most of the intraday liquidity while local traders (CTI1) as market makers are its main provider. Both groups combine most of the intraday trading volume. Interday trading comes mainly from proprietary accounts (CTI2) and other local traders' trades (CTI3), reflecting their longer-term needs for hedging and speculation. Changes in the overnight positions of the general public (CTI4) and clearing members (CTI2) contribute mostly to daily price discovery, while the positions of CTI3 group reflect possible information advantage about future price movements.     

Depths and spreads in futures markets: Relationship with order execution,submission, and cancellation

This paper examines the relationship between limit order submissions and liquidity. We find that there is a negative relationship between the limit order arrival rate and the depth at the best quotes (limit order queue length) and a positive relationship between submissions and bid–ask spreads. This is consistent with queuing theory, which predicts that an increase in the limit order arrival rate increases the queue length and the time to execution of a limit order. Consequently, limit order traders cover the increase in costs and risks associated with the increase in the time to execution of limit orders by increasing bid–ask spread.     

Risky short positions and investor sentiment: Evidence from the weekend effect in futures markets

This paper examines the weekend effect in futures markets and presents rational and behavioral reasons for its existence. Specifically, we document a weekend effect (Friday's return minus the following Monday's return) in futures markets. The weekend effect occurs partly because of asymmetric risk between long and short positions around weekends; the weekend effect increases when short positions are relatively more risky. In addition, we find that both lagged and contemporaneous changes in investor sentiment are related to the weekend effect. These results are consistent with the investor sentiment literature that finds that mood improves on Fridays but deteriorates on Mondays.     

The market quality of commodity futures markets

To study the market quality of commodity futures markets, we construct a commodity futures market quality index from the perspective of liquidity, efficiency, and volatility. Based on the market quality index, the Chinese commodity futures market operates steadily. The metal futures market is more efficient and stable than the market for agricultural futures. The Chinese commodity futures market is less liquid and more volatile than the U.S. market. We examine the determinants of market quality and find that macroeconomic variables and futures market contracts are significantly related to the market quality of Chinese commodity futures.     

The relationship between arbitrage in futures and spot markets and Bitcoin price movements: Evidence from the Bitcoin markets

We examine how investors arbitrage the Bitcoin spot and futures markets. Using intraday data of the Chicago Board Options Exchange, we reconstruct the actual arbitrage condition that investors confront. We find that there are few arbitrage profit opportunities in “normal” markets, but large arbitrage profit opportunities arise during Bitcoin market “crashes.”     

Price discovery among SSE 50 Index-based spot,futures, and options markets

This paper studies the contribution of newly launched SSE 50 Index-based options and futures to price discovery. We find that the derivatives markets quickly begin exhibiting price leadership over the corresponding spot market, despite their short history; the information share from both derivatives markets rose from 59.84% in mid-2015 to 84.6% in mid-2017. Using substantial regulation changes during the sample period, we test the trading cost hypothesis. The increases in derivatives transaction costs do not immediately impede their roles in price discovery. Findings suggest that in nascent and immature markets, investors’ trading experience matters more than trading costs.     

COVID-19 and tail risk contagion across commodity futures markets

This paper examines the impact of COVID-19 on tail risk contagion across commodity futures markets using a copula-based network method. We document a significant increase in the lower and upper tail contagiousness of commodities following the COVID-19 outbreak. Contagion shows an obvious clustering characteristic, that is, there is higher tail risk connectedness between commodities in the same category. Agricultural commodities are significantly less contagious than metals and energy commodities; soft commodities in particular can offer investors significant diversification benefits. There are several hub commodities in the contagion network, chief among them copper, which are good transmitters of shocks and should be treated with caution by investors and regulators. Although tail risk and contagiousness of individual commodities increase together during the pandemic, we find a negative cross-sectional relationship between tail risk and contagiousness, that is, commodities with high tail risk are not necessarily highly contagious and may even be less so.     

Return and volatility transmission between China's and international crude oil futures markets: A first look

We examine return and volatility transmission between the newly established crude oil futures in China and international major crude oil futures markets using intraday data. For the first time, we document evidence for cointegration relationships among these oil futures markets. Both China's and Oman's oil futures markets react to deviations from their long-run equilibrium with West Texas Intermediate and Brent oil futures. There is also new evidence for asymmetric volatilities and correlations across these oil futures markets. Furthermore, the Chinese oil futures have stronger linkages with the international major futures markets than Oman futures.     

Sentiment-dependent impact of funding liquidity shocks on futures market liquidity

We examine the effect of funding liquidity changes on futures market liquidity, depending on economic sentiment. Futures market liquidity improves following negative funding liquidity shocks, and economic sentiment is an important determinant explaining this relationship. While individuals' trading is most significantly affected by sentiment, its response to funding liquidity shocks remains independent of sentiment effects. Domestic institutions' reactions depend on the sentiment regime; they trade futures contracts more actively as funding liquidity becomes more abundant (scarcer) when sentiment is more pessimistic (optimistic). Foreigners, following negative funding liquidity shocks, generally increase their futures trading, whereas their trading decreases under the extremely pessimistic sentiment. Domestic banks and pension funds provide liquidity to the futures market even when sentiment is pessimistic.     

When stock futures dominate price discovery

This paper revisits the role of leverage in price discovery, using one of the most liquid single-stock futures (SSFs) markets in the world. Price discovery is analysed as a dynamic intraday process. We find that the information share of the SSFs is 55% during news arrivals. It increases to 61%, when the news is negative and the futures is preferred because of short-sales restrictions on the spot. A partial equilibrium analysis predicts that the trade-off between leverage and market liquidity determines price discovery across securities. These predictions are validated by empirical evidence.     

The impact of trading restrictions and margin requirements on stock index futures

Stock index futures in Chinese market have consistently diverged from their theoretical values. In this paper, we try to provide some explanations by proposing an equilibrium model. Although the model itself does not provide analytical solutions, it enables us to conduct extensive numerical studies and compare them with our empirical results on two major Chinese market indices, CSI300 and SSE50. Our results show that the divergence of stock index futures prices from their theoretical values may be due to various trading and regulatory constraints, such as position limits and margin requirements, which play significant roles in Chinese market.     

Samuelson hypothesis,arbitrage activity,and futures term premiums

The Samuelson hypothesis asserts that futures volatility increases as maturity decreases. On the basis of 10 US commodity futures and by capturing the dynamics of the futures volatility terms structure with three factors, we show that in most markets the slope factor is strongly negative in certain periods and at best only weakly negative in other periods. High inventory levels are found to correspond to flatter volatility term structures in seven futures. This finding is consistent with the linkage between carry arbitrage and the Samuelson hypothesis. We also find that a flatter volatility term structure corresponds to lower absolute futures term premiums.     

Economic uncertainty,trading activity,and commodity futures volatility

This paper investigates the dynamics of commodity futures volatility. I derive the variance decomposition for the futures basis and show unexpected excess returns result from new information about expected future interest rates, convenience yields, and risk premia. Measures of uncertainty in economic conditions have significant predictive power for realized volatility of commodity futures returns, after controlling for lagged volatility, returns, commodity index trading, hedging pressure, and other trading activity, even during the so-called “index financialization” period. During this period, hedge fund performance predicts volatility in grain commodities, which are affected by the US ethanol mandate.     

The effectiveness of coordinating price limits across futures and spot markets

We extend the work of Brennan ( 1986 ) to investigate whether the imposition of spot price limits can further reduce the default risk and lower the effective margin requirement for a futures contract that is already under price limits. Our results show that spot price limits do indeed further reduce the default risk and margin requirement effectively. In addition, the more precise the information is that comes from the spot market, the more the spot price limit rule constrains the information available to the losing party. The default probability, contract costs, and margin requirements are then lowered to a greater degree. Furthermore, for a given margin, both spot price limits and futures price limits can partially substitute for each other in ensuring contract performance. The common practice of imposing equal price limits on both the spot and futures markets, though not coinciding with the efficient contract design, has a lower contract cost and margin requirement than that without imposing spot price limits. © 2003 Wiley Periodicals, Inc. Jrl Fut Mark 23:577–602, 2003     

Intermediary asset pricing in commodity futures returns

This paper assesses the extent to which intermediary capital (IC) risk contributes toward explaining commodity futures returns. We find that the IC effect is substantially positive and continues to grow as the financialization of commodities deepens. Positive and negative IC risks play asymmetric roles, with the effect of negative IC strengthening in recent subperiods. We further confirm the heterogeneous roles of IC across individual commodities by cross-section analyses. Overall, the effect of the positive IC risk factor varies significantly. Portfolios with low basis, low open interest, low momentum, and low liquidity earn significantly higher returns than counterparty portfolios.     

The quantile dependence of commodity futures markets on news sentiment

Focusing on energy commodities, industrial metals, and gold, this paper examines the degree to which commodity futures returns depend on news sentiment under various market conditions, and the structure of that dependence. We observe an asymmetric market reaction to positive and negative news sentiment, which changes in periods of financial turmoil. The quantile regression analysis shows that news sentiment's influence on the futures returns follows an upward trend at higher percentiles. This structure flattens for positive news during the global financial crisis, while the slope for the negative component steepens in backwardation periods.     

Predictive abilities of speculators in energy markets

Using nonparametric methodology, I find that speculators are successful in taking profitable positions in energy futures markets, although the magnitude of this effect is lower than that found previously for agricultural markets. A plausible explanation for this difference is that price forecasting is more difficult for energy commodities. Moreover, I find that the energy speculators’ returns are due to the existence of the risk premiums rather than to speculators’ forecasting abilities. Futures risk premium is highly time-variant; notably, energy investors’ profits have been very limited in the GFC and post-GFC period, which coincided with the financialization of commodity markets.