Commodity futures returns: more memory than you might think!†

This paper investigates long-range dependence in 14 commodity and 3 other financial futures returns series from 1993 to 2009 and shows that long memory is a pervasive phenomenon in contrast to the extant evidence. Utilizing a semi-parametric wavelet-based estimator with time windows, the results provide overwhelming evidence of time-varying long-range dependence in all futures returns series. Structural break tests indicate multiple regimes of dependence, in the majority of which the persistence parameter is statistically significant. The results also provide evidence of predominantly negative parameter values which are known as anti-persistence. The latter is consistent with investor overreaction to shocks and suggests temporary departures from market efficiency.     

Arbitrage, Risk Premium, and Cointegration Tests of the Efficiency of Futures Markets

This article provides a new perspective on the efficiency of futures markets in a cointegration framework. Under the conventional risk premium hypothesis, if futures and spot prices are non-stationary, they must be cointegrated if futures markets are efficient. Alternatively, the cost-of-carry model implies that there should be a cointegration relationship among spot prices, futures prices and interest rates assuming all the series contain a unit root. Market efficiency further implies specific parameter restrictions under these two models. Using data on the futures markets for gold, silver, palladium and platinum, this article first establishes that interest rates, spot and futures prices are unit root non-stationary. The evidence on cointegration is somewhat mixed: the gold futures market is consistent with the cost-of-carry model, and the silver futures market satisfies the risk premium hypothesis, but the evidence for the other two markets is inconclusive.     

Regulatory reform and market efficiency: The case of Indian agricultural commodity futures markets

We present the results of two efficiency measures that include intraday return predictability measure based on order imbalance and measures of several variance ratio tests on intraday subsamples of nine major Indian agricultural commodity futures (castor seed, cotton oil cake, rape mustard seed, soybean, refined soya oil, crude palm oil, jeera, chana, and turmeric) quoted in the National Commodity and Derivatives Exchange (NCDEX). We perform the efficiency measures on five subsamples with holding periods of 5, 10, 15, 30, and 60 min over two sample periods following the announcement of the merger between the Forward Market Commission (FMC) and Securities Exchange Board of India (SEBI). We compare results of tests of weak-form market efficiency of futures markets between two periods (pre-merger period and post-merger period). Our results confirm that Indian agricultural commodity futures markets continue to remain inefficient in the short-term during both pre-merger and post-merger periods. Based on these findings, it is likely that profitable trading strategies in the short intraday intervals will be available for traders and market participants during post-merger period. Thus, regulators must focus more on policy initiative so as to enhance market quality in order to address such inefficiencies in Indian commodity futures markets.     

Price-Formation Process of an Emerging Futures Market: Call Auction Versus Continuous Auction

This study assesses the market qualities of alternative price-formation processes for an emerging futures market—the Taiwan futures market. In 2002, the price formation process in the market changed during the period of trade between call auction and continuous auction. The performances of call auction and continuous auction are compared using intraday data. Empirical results show that the market is more liquid, and volatility is slightly lower, under continuous auction than under call auction. Also, there is robust evidence that continuous auction improves informative efficiency. The study suggests that for an emerging futures market like that of Taiwan, continuous auction offers a better trading environment for futures trading. In addition to demonstrating the virtue of continuous auction, this study also finds that the asymmetry in volatility is related to the price formation process. The asymmetry effect exists under continuous auction, but not under call auction.     

Price discovery in bitcoin futures

This paper studies the contribution of the newly launched future contracts to the bitcoin price discovery process. Using well-established methodologies in the literature of the evaluation of price discovery in financial markets, we find evidence that, although the volume of bitcoins traded in the decentralized spot market overwhelms that of the futures market, the latter plays a more important role in incorporating new information about the value of bitcoin. Our empirical investigation also provides evidence of strong bi-directional dependence in the intraday volatility of the spot and futures markets.     

Co-jumps in the U.S. interest rates and precious metals markets and their implications for investors

Using one-minute intraday data and wavelet decomposition of stochastic processes we obtain realised VCOV matrices with and without price discontinuities in the U.S. Treasuries and precious metals futures. Our work provides determinants of co-jumps in gold, silver and U.S. Treasuries across the yield curve and empirically demonstrates impact of price discontinues on hypothetical investor through realised correlations, hedging effectiveness ratios and several portfolio settings. We find that co-jumps in gold and silver have similar monetary characteristics to co-jumps in gold or silver with U.S. Treasuries futures. We further unpack investor choices between precious metals and U.S. bonds under the presence of high-frequency risks. We show that behaviour puzzle of simultaneous demand for safety and quality during market turmoils disappears if investors are seeking maximum diversification. We also find that runs to safety do not offer statistically significant improvements in diversification benefits unlike runs to short-term quality. Other results uncover higher investments to gold due to the shifts in the U.S. yield curve and potential gains in realised hedging effectiveness for the end of the yield curve investors through asymmetry in co-jumps of gold and U.S. Treasuries during periods of extreme market volatility such as beginning of the COVID-19 pandemic.     

Investor Trading Behavior and Sentiment in Futures Markets

This study investigates the effects of investor trading behavior and investor sentiment on futures market return. We find that the spot investor trading behavior, futures investor trading behavior, spot market sentiment, and futures market sentiment all have positive effects on daily futures returns in Chinese financial market. More importantly, we show that the effect of (spot) futures investor trading behavior has better explanatory power than (spot) futures market sentiment on futures returns. Further supporting our results, high investor trading behavior and high investor sentiment strengthen the positive relation between sentiment-returns and behavior-returns.     

股指期货与现货市场的关系研究

本文从市场结构、交易执行效率和市场信息传播三个方面，由浅入深地展开了期现货市场关系的梳理和分析。股指期货市场的出现，一是使得原本现货市场单轨运行的市场结构变为了期现货市场双轨运行的新结构，增加了市场稳定性；二是依托期货交易方式的独特机制，大大提高了交易执行效率；三是期货价格也因此包含了更多内容，促进了市场信息的传播与扩散。同时，股指期货的独特设计使得其非常适合在危机条件下充分发挥功能，是一个重要的风险管理工具，已经成为现代资本市场的重要组成部分和基础性的内在稳定机制。     

美国黄金期货与黄金现货互动关系的实证研究

文章通过建立误差修正模型（ Error Correction ModeL,ECM）和基于持有成本理论的误差修正模型（ Error Correction ModeL Cost of Carry,ECM-CoC）,对美国黄金市场的期货与现货市场在金融危机前后的互动关系进行了实证分析。结果表明：在2007年金融危机前美国黄金期货市场引导黄金现货市场,期货市场的价格发现功能得以实现;在金融风暴后美国黄金现货和期货市场存在双向引导关系;美国黄金期货市场和现货市场之间存在长期均衡关系,期货市场和现货市场均存在误差修正机制,美国现货市场价格恢复均衡的调整速度高于黄金期货市场。     

Nonlinear tail dependence in cryptocurrency-stock market returns: The role of Bitcoin futures

We investigate the median and tail dependence between cryptocurrency and stock market returns of BRICS and Developed countries using a newly developed nonparametric cumulative measure of dependence over the period January 4, 2016 – December 31, 2019 as well as before and after the introduction of Bitcoin futures on December 17, 2017. The new measure is model-free and permits measuring tail risk. The results highlight the leading role of S&P500, Nasdaq and DAX 30 in predicting BRICS and developed countries’ stock market returns. Among BRICS countries, BVSP shows a starring role in predicting stock market returns. BSE 30 is the most predictor of cryptocurrencies, which have a little predictability on stock market returns. Ethereum has the leading role in predicting cryptocurrencies and stock market returns followed by Bitcoin. Tail dependence shows substantial role of S&P500, Nasdaq and BVSP in predicting stock market returns. Subsample analysis show the role of Bitcoin futures in reshaping the mean and tail dependence between cryptocurrency and stock market returns. Our results have important policy implications for portfolio managers, hedge funds and investors.     

Futures volatility forecasting based on big data analytics with incorporating an order imbalance effect

Future markets play vital roles in supporting economic activities in modern society. For example, crude oil and electricity futures markets have heavy effects on a nation’s energy operation management. Thus, volatility forecasting of the futures market is an emerging but increasingly influential field of financial research. In this paper, we adopt big data analytics, called Extreme Gradient Boosting (XGBoost) from computer science, in an attempt to improve the forecasting accuracy of futures volatility and to demonstrate the application of big data analytics in the financial spectrum in terms of volatility forecasting. We further unveil that order imbalance estimation might incorporate abundant information to reflect price jumps and other trading information in the futures market. Including order imbalance information helps our model capture underpinned market rules such as supply and demand, which lightens the information loss during the model formation. Our empirical results suggest that the volatility forecasting accuracy of the XGBoost method considerably beats the GARCH-jump and HAR-jump models in both crude oil futures market and electricity futures market. Our results could also produce plentiful research implications for both policy makers and energy futures market participants.     

Are They Hedgers or Speculators? Evidence from South Korea's Political Elections

This study uses a simultaneous equation model based on a three-stage least squares estimation to offer new empirical evidence that investors are hedgers or speculators during South Korea's elections. Major investor groups include individuals, securities companies, and foreigners in the Korea Composite Stock Price Index (KOSPI 200) market. The results show that cash market volatility and futures market activity have lead behaviors with one another. However, the contemporaneous variables of cash market volatility and options market activity have only unidirectional causality. Most investors will trade futures and options contracts for speculating within the entire sample period. During political election periods, investors prefer to trade options contracts for hedging rather than futures contracts.     

Nonlinear serial dependence and the weak-form efficiency of Asian emerging stock markets

The objective of this paper is to re-examine the weak-form efficiency of 10 Asian emerging stock markets. Using a battery of nonlinearity tests, the statistical results reveal that all the returns series still contain predictable nonlinearities even after removing linear serial correlation from the data. The next stage of sub-sample analysis using the Hinich [Hinich, M., 1996. Testing for dependence in the input to a linear time series model. Journal of Nonparametric Statistics 6, 205–221] bicorrelation test shows that the 10 Asian series follow a pure noise process for long periods of time, only to be interspersed with brief periods of strong nonlinear dependence. The exploratory investigation found that the cross-country differences in nonlinear departure from market efficiency can be explained by market size and trading activity, while the transient burst of nonlinear periods in each individual market can be attributed largely to the occurrence of economic and political events.     

信息传导与市场整合——基于商品期货上市的准自然实验

从制度设计上打破市场分割、促进市场整合,对提高市场效率、促进经济有序健康发展具有重要意义。本文以商品期货上市作为准自然实验,构建双重差分模型,实证检验了商品期货上市交易对现货商品市场价格整合的影响。研究发现,现货商品市场价格整合程度在相应商品期货上市后显著提升,这是因为商品期货上市显著地促进了价格信息在全国范围内的传导,且这种提升效应主要体现在价格信息传导比较顺畅的地区。此外,商品期货上市提高了现货商品市场价格同步性,缓解了现货商品价格信息滞后程度,降低了现货商品交易成本。进一步研究发现,商品期货市场的交易信息质量越高,越有利于提高现货商品市场的整合程度。本研究为当前我国建设全国统一大市场提供了一定参考。     

A PRICING ANOMALY IN TREASURY BILL FUTURES

This research applies an entirely new approach to examining the efficiency of futures markets for Treasury bills and avoids many shortcomings of previous studies that rely on comparing yields on spot versus futures market positions. Efficiency is examined by comparing the consistency of yields within the futures market itself since, at one time, the International Monetary Market (IMM) traded futures contracts for both three-month and one-year bills. The results indicate a remarkably large average annual yield differential of 32 basis points when the yields on the one-year contract are compared to the appropriate corresponding strip of three-month contracts. Possible explanations such as low volume, market thinness, transaction costs, strategy interdependence, serial correlation among differences, and daily resettlement (the Cox, Ingersoll, and Ross effect) are unsuccessful in explaining this pricing anomaly.     

Efficiency of the silver futures market: An empirical study using daily data

This paper investigates whether the silver futures market is efficient with respect to the information contained in the time series of daily price changes. An analysis of the serial correlation of returns on silver futures supports the hypothesis that successive price changes are independent. However, a series of first and second order Markov chain models built using the direction as well as the magnitude of price change, reveals some short-term dependence. This result regarding the non-independence of successive price changes is reinforced by an analysis of upward and downward cycles, and by the extraordinary profits generated by using mechanical filter rules. The conclusion of this study is that the silver futures market does not seem to be efficient even in the weak form and that astute traders and investors can make modest excess risk-adjusted returns by using appropriate trading strategies.     

The Lead-Lag Relation Between Spot and Futures Markets Under Different Short-Selling Regimes

We examine the lead‐lag relation between index futures and the underlying index under three types of short‐selling restrictions on stocks in Hong Kong. Our results indicate that lifting short‐selling restrictions can enhance the informational efficiency of the stock market relative to the index futures. We also investigate the impact of two market characteristics, market conditions and the magnitude of mispricing on the lead‐lag relations under different short‐selling regimes. Our findings suggest that if we remove restrictions, the contemporaneous price relation between the futures and cash markets becomes stronger particularly in the falling market and when the cash market is relatively overpriced.     

Information Flows Between the U.S. and China Commodity Futures Trading

Using a bivariate GARCH model, we examine patterns of information flows for three commodity futures traded in both the developed U.S. market and the emerging China market (copper, soybeans and wheat). For copper and soybeans, the two commodities that are subject to less government regulation and fewer import restrictions in China, we find that the U.S. futures market plays a dominant role in transmitting information to the Chinese market, a result that confirms the importance of the U.S. role as a leader in the global financial market. For the heavily regulated and subsidized wheat commodity, our empirical results indicate that the U.S.-China futures markets are highly segmented in pricing, although information transmission via volatility spillover across markets is present.     

中国利率市场的价格发现——对国债现货、期货以及利率互换市场的研究

本文采用信息份额模型和基于向量自回归(VAR)模型的格兰杰因果检验,研究了国债现货、国债期货和利率互换三个市场之间的价格发现机制。信息份额模型表明,从整体来看利率互换相对于国债期货和国债现货都具有信息优势,而国债期货相对于国债现货具有信息优势。另外,国债期货的价格发现能力相对于另外两个市场都在随时间增强。格兰杰因果检验结果显示,利率互换在价格发现中单向引领国债期货以及国债现货,国债期货单向引领国债现货。所有结果一致表明, 利率互换和国债期货这两种利率衍生产品在引导中国利率市场价格发现中发挥了重要作用。     

Investor sentiment‐styled index in index futures market

In this paper, we define and analyze the sentiment‐styled index for the CSI 300 index futures in the Chinese futures market. Our sentiment‐styled index for the CSI 300 index futures from April 16, 2010 to April 30, 2019 is constructed by the first and second principal component analyses, rather than only by the first principal component analysis used in the Baker and Wurgler (Journal of Finance 61(4): 1645–1680, 2006) method. The sentiment‐styled index explains 78.38% of the sample variance. The vector error correction model is adapted to study the dynamics of cointegration of the sentiment‐styled index and the logarithmic futures price. We use the GARCH‐DCC model to illustrate the spillover effect between the sentiment‐styled index and the Chinese futures market. We show that this investor sentiment‐styled index does have the price discovery from the Granger causality and common factor weights and the hedging function from the Baba–Engle–Kraft–Kroner model empirically; furthermore, we use the curvature term of the sentiment‐styled index to determine the multiple unit roots. More empirical results for the sentiment‐styled index of the Chinese stock market, the sentiment‐styled index of the CSI 300 index futures, and the return of the CSI 300 index futures market are studied in this paper.