Covariance breakdowns and connectedness of crude oil futures markets with non-synchronous data

ABSTRACT

This article identifies the breakdowns in the covariance of three benchmark crude oil futures markets (WTI, Brent and Dubai) and investigates the changes of market connectedness across the breakdown periods. As the crude oil futures are traded in different regions, this article eliminates the non-synchronous trading data by employing the Vector Moving Average structure and the Bayesian data augmentation approach, which keeps the integrity of original data without changing its properties. The results show that there are significant breaks in the covariance structure of crude oil futures markets. The breakdown periods are consistent with the periods when the market volatilities are at high level and the returns are volatile. The changes of market connectedness are independent of the covariance states, which supports the globalization hypothesis for the crude oil market. The results also suggest that there is more information flow out of the WTI than to the WTI during the sample period, particularly during the breakdown periods in 2008–2009.     

Hedging against bunker price fluctuations using petroleum futures contracts: constant versus time-varying hedge ratios

The effectiveness of hedging marine bunker price fluctuations in Rotterdam, Singapore and Houston is examined using different crude oil and petroleum future contracts traded at the New York Mercantile Exchange (NYMEX) and the International Petroleum Exchange (IPE) in London. Using both constant and dynamic hedge ratios, it is found that in and out-of-sample hedging effectiveness is different across regional bunker markets. The most effective futures instruments for out of sample hedging of spot bunker prices in Rotterdam and Singapore are the IPE crude oil futures, while for Houston it is the gas oil futures. Differences in hedging effectiveness across regional markets are attributed to the varying regional supply and demand factors in each market. In comparison to other markets, the cross-market hedging effectiveness investigated in the bunker market is low.     

Contract settlement specification and price discovery: Empirical evidence in Australia individual share futures market

This study applies Geweke [J. Am. Stat. Assoc. 76 (1982) 304] measures of information flow and dependence between Australian individual share futures (ISF) contract and its underlying stock market to investigate whether the price discovery function of futures price has been enhanced after the switch of futures contracts from cash settlement to physical delivery. It is found that the spot market leads the futures market as the futures trading volume is rather small. Further tests suggest that the switch from cash settlement to physical delivery in the ISF contracts has reinforced the information flow from the spot market to the futures market.     

Determinants of futures contract success: Empirical examinations for the Asian futures markets

This study examines key factors that influence the success of exchange-traded futures contracts of Asian futures markets. The results show that successful futures contracts benefit from a large and volatile spot market. In addition, a smaller contract size has a positive effect on the futures trading volume, which in turn contributes to the success of the futures contract. For specific institutional factors, the choice of the trading platform and the relative size of exchanges are both important to the success of futures contracts.     

The price–volume relationship in the crude oil futures market Some results based on linear and nonlinear causality testing

This article presents some evidence for the presence of a causal relationship between price and volume in the crude oil futures market. The results of linear causality testing reveal the presence of causality running from volume to price but not vice versa. While the results of testing for nonlinear causality are inconsistent, most of the evidence shows that causality runs in both directions. In general, there is evidence for the sequential information arrival hypothesis and the noise trading model, but not for market efficiency. There is also some evidence for the presence of a maturity or a liquidity effect. Finally, there is some variation in the results, depending on the sample period.     

Revealing asymmetries in the loss function of WTI oil futures market

This paper examines behavioural aspects of the West Texas Intermediate (WTI) oil 1-month futures from 1995 to 2012. We consider that oil futures are formed based on an underlying generalised loss function with an unknown shape parameter that provides information regarding preferences. Even without observing fundamentals of WTI oil futures we can assess whether preferences lean towards a symmetric or asymmetric loss function. Our empirical evidence is robust across information sets and shows that overall loss preferences of WTI 1-month oil futures are rather optimistic and thus the underlying loss function is asymmetric. This implies that if one disregards this asymmetry the WTI oil futures should not be viewed as rational. We further provide statistical tests that allow deviations from a symmetric loss function. As part of a sensitivity analysis, and given the long span of our sample, we perform a novel analysis for detecting breakdowns in our series over time. Based on this analysis we re-examine the shape parameters of the loss function for WTI oil month futures for sub-periods. Interestingly, preferences of WTI 1-month oil futures have shifted towards optimism post 2008 period, marking the collapse of Lehman Brothers.     

Volatility,maturity and volume in the Indian metals futures

This study examines the validity of Samuelson hypothesis and the mixture of distribution hypothesis to uncover time-to-maturity and trading volume as the sources of volatility in gold and copper futures. Exponential generalized autoregressive conditional heteroskedasticity model is used for empirical analysis. Leverage effect is found in copper futures but not in gold futures. We find evidence of the Samuelson maturity effect even after controlling for the trading volume. The mixture of distribution hypothesis is strongly supported. Hence trading volume, a proxy for information arrival, is one of the important determinants of volatility, and it dominates time-to-maturity. The results have implications for setting the desired level of margin requirements in futures contracts, designing effective hedging strategy and strengthening the risk management practices.     

Relationships among U.S. oil prices and oil industry equity indices

The cointegration analysis suggests that the pure oil industry equity system and the mixed oil price/equity index system offers more opportunities for long-run portfolio diversification and less market integration than the pure oil price systems. On a daily basis, in the oil price systems all oil prices with the exception of the 3-month futures can explain the future movements of each other. In the mixed system, none of the daily oil industry stock indices can explain the daily future movements of the New York Mercantile Exchange (NYMEX) futures prices, whereas these prices can explain the movements of independent companies engaged in exploration, refining, and marketing. The spillover analysis of oil volatility transmission suggests that the oil futures market has a matching or echoing volatility effect on the stocks of some oil sectors and a volatility-dampening effect on the stocks of others. The policy implication is that, during times of high oil volatility, traders should choose the S&P oil sector stocks that match their tolerance for volatility and use the right financial derivative to hedge against or profit from this volatility. The day effect for volatility transmission suggests that Friday has a calming effect on the volatility of oil stocks in general. The effect for Monday is not significant.     

An investigation into the dynamic relationship between international and China’s crude oil prices

This article studies the dynamic relationship between international (WTI, Brent and Dubai) and domestic (Da Qing) crude oil prices in China using threshold cointegration method. We find evidence of a long-run equilibrium relationship between each pair of international and Da Qing oil prices, favouring the market integration hypothesis. We also estimate asymmetric adjustments under the momentum threshold autoregressive (M-TAR) specification in a TVECM, and the results show that adjustments to eliminate disequilibrium happen faster when oil price spread increases than when it decreases. The long-run and short-run Granger causality tests support the notion that China has influence on the international oil markets. The results imply that China should open up its domestic and imported oil markets, and also establish a well-functioning crude oil futures market, as they are essential for arbitrage and hedging strategies.     

Introducing the mini-futures contract on Ibex 35: implications for price discovery and volatility transmission

This paper analyzes the effects of the introduction of the mini-futures contract in the Spanish stock index futures market. The objective of the paper is twofold: (a) to analyze the potential destabilizing effect of the mini futures trading activity on the distribution of spot returns, and (b) to test whether the mini futures contract significantly contributes to the price discovery process. A non-parametric approach is used to estimate the density function of spot return conditional to both spot and futures trading volume. Empirical findings using 15-min intraday data reveal that the mini futures trading activity enhances the price discovery function of the derivative market and does not destabilize spot prices. A preliminary version of this paper has been previously published as a working paper of the Instituto Valenciano de Investigaciones Económicas, WP-EC 2004-13. M. Illueca and Juan A. Lafuente acknowledge financial support from Spanish ministry of Science and Technology through grants SEJ-2005-02776, and both SEJ2006-14354 and BEC-2003-03965, respectively.     

Risk assessment of oil price from static and dynamic modelling approaches

The price gap between West Texas Intermediate (WTI) and Brent crude oil markets has been completely changed in the past several years. The price of WTI was always a little larger than that of Brent for a long time. However, the price of WTI has been surpassed by that of Brent since 2011. The new market circumstances and volatility of oil price require a comprehensive re-estimation of risk. Therefore, this study aims to explore an integrated approach to assess the price risk in the two crude oil markets through the value at risk (VaR) model. The VaR is estimated by the extreme value theory (EVT) and GARCH model on the basis of generalized error distribution (GED). The results show that EVT is a powerful approach to capture the risk in the oil markets. On the contrary, the traditional variance–covariance (VC) and Monte Carlo (MC) approaches tend to overestimate risk when the confidence level is 95%, but underestimate risk at the confidence level of 99%. The VaR of WTI returns is larger than that of Brent returns at identical confidence levels. Moreover, the GED-GARCH model can estimate the downside dynamic VaR accurately for WTI and Brent oil returns.     

Oligopolistic Pricing of Crude Oil Futures

This paper applies a game-theoretic model of oligopolistic pricing to the crude oil futures contracts traded on the Brent 15-Day market and the London International Petroleum Exchange (IPE). Particular attention is given to the organizational features of the Brent 15-Day market and to the successive changes in the IPE contract     

Information Linkages between Chinese and World Copper Futures Markets

In this paper, we examine the price discovery process and volatility spillover effects in informationally linked futures markets. Using synchronous trading information from the Shanghai Futures Exchange (SHFE), the New York Mercantile Exchange (NYMEX), and the London Metal Exchange (LME) for copper futures from 2000 to 2012, we show that the cointegration relationships of these futures markets changed during 2006–2008. The results indicate that there is a bidirectional relationship in terms of price and volatility spillovers between the LME and NYMEX and the SHFE, with a stronger effect from the LME and NYMEX to the SHFE (versus the effect from the SHFE to the LME and NYMEX) prior to 2006. Our results also highlight the increasingly prominent role of the SHFE in the price formation process and cross-volatility spillover effects since 2008. Finally, we show that volatility spillover has important implications for constructing optimized portfolios for copper investors.     

中日天然橡胶期货市场风险比较研究

本文利用相关性分析、协整检验等方法以及基差分析和成交量与交割率分布等指标,分别对中日天然橡胶期货市场价格的非正常波动和流动性风险状况进行了比较分析。结果表明:中国天然橡胶期货市场价格的非正常波动风险与日本市场相比较低;中国天然橡胶期货市场的流动性水平在不断增强,但中日两国天然橡胶期货市场的成交量和交割率的分布差异较大,给持有不同目的的交易者带来的风险均有差异。     

Baltic freight futures: Random walk or seasonally predictable?

Ocean freight futures, the only futures contract on a service, began trading on the BIFFEX Exchange in 1985. The Chow and Denning (1993) refinement to the Lo and MacKinlay (1989) variance ratio methodology is used to examine daily BIFFEX price, volume, and index quotes for randomness. Results suggest the possibility of seasonality in the index values between 1985 and 1989. Evidence of seasonality in the index suggests the possibility of the potential for exploitation by some market participants. However, evidence of randomness in the futures contract prices, suggests that index seasonality has not here-to fore been exploited.     

中国棕榈油期货价格发现效率变动——基于ECM模型的实证

大商所的棕榈油期货价格发现功能对棕榈油最大进口国的中国来说意义重大。文章回答了＂大商所棕榈油期货是否具有价格发现功能＂这一疑问。选择代表性强的合约为研究对象,采用ECM模型分三个阶段研究了不同时期我国棕榈油期货市场的价格发现效率。结果发现我国棕榈油期货市场正逐步走向成熟,目前已具备价格发现的功能并且价格发现有效率。     

Forecasting realized volatility of crude oil futures with equity market uncertainty

This paper examines whether the equity market uncertainty (EMU) index contains incremental information for forecasting the realized volatility of crude oil futures. We use 5-min high-frequency transaction data for WTI crude oil futures and develop six heterogeneous autoregressive (HAR) models based on classical HAR-type models. The empirical results suggest that EMU contains more incremental information than the economic policy uncertainty (EPU) for forecasting the realized volatility of crude oil futures. More importantly, we argue that EMU is a non negligible additional predictive variable that can significantly improve the 1-day ahead predictive accuracy of all six HAR-type models, and improve the 1-week ahead forecasting performance of the HAR-RV, HAR-RV-J, HAR-RSV, HAR-RV-SJ models. These findings highlight a strong short-term and a weak mid-term predictive ability of EMU in the crude oil futures market.     

Optimization agricultural production under financial risk of water constraint in the Jordan Valley

Using high-frequency data the co-movements among crude oil prices are analysed in order to address the question of regionalization of the world crude oil market. Time-series econometrics in the form of error-correction modelling is applied for daily crude oil price data covering the time period 1988 to 2004 and in this framework topics like weak and strong exogeneity among three major oil prices – represented by Brent, OPEC and Texas (WTI) – are addressed. The empirical results are that causality is most likely bi-directional among these crude oil prices – and hence rejecting a regionalization hypothesis of the global oil market – and also an influence from the OPEC oil price towards Bent and WTI, which are usually claimed to have a benchmark role.     

Dynamic price formation in a futures market via double auctions

Summary We report an exploratory study of the process of price formation in a speculative market in the absence of liquidity traders. Traders exchange a futures contract because they interpret information differently. We formulate trading as a sequence of anonymous double auctions and introduce a notion of bounded rationality in which traders use approximate models of market response in forming their bids. We prove existence of a perfect equilibrium in the sequential anonymous auctions game, and show that the equilibrium has a no-regret property. After learning the market price, a trader regrets neither the bid that he made nor the position that he holds. We show that trading volume is related to changes in the distribution of information in the economy. We also show that volume and expected change in price are related to two different attributes of the pattern of private information flow. Fundamentally, no particular relationship between the time series of these variables is always valid for all futures contracts. This point is emphasized by an example.I am thankful for useful comments made by Avraham Beja, James Gammil, Chi-fu Huang, David Scharfstein and three anonymous referees. Financial support from Stanford Graduate School Faculty Fellowship is gratefully acknowledged.     

基于ARIMA与GARCH模型的国际油价预测比较分析

在分析影响油价波动因素的基础上,利用1986年1月至2010年12月的WTI国际原油价格月度数据,分别建立ARIMA和GARCH模型对油价进行预测。并通过对2011年1月至2012年4月WTI原油价格进行外推预测,检验模型的预测效果。比较分析发现,在短期预测中,ARIMA和GARCH模型对油价的预测均比较准确,但当油价由于受到重大事件的影响而有较大波动时,模型的预测精度下降;在长期预测中,GARCH模型的预测效果优于ARIMA模型;整体来看,GARCH模型预测的精度高于ARIMA模型。因此,在国际油价预测中,用GARCH模型是比较合适的。