Crude Oil Futures as an Indicator of Market Changes: A Graphical Analysis

This study investigates the changing relationship between price and volume traded of short- and long-maturity NYMEX light sweet crude oil futures contracts and major changes in the physical crude oil market during the last decade. Monthly series for the #1-month to 84-month out maturity contracts are generated from daily price and volume data for NYMEX West Texas Intermediate (WTI) futures contracts for the period from January 2000 to the middle of 2009. 3-D graphical analysis of the futures prices, contract volumes, maturity dates, and time is used to demonstrate the changing trading volume pattern and evolution of the shape of futures price term structure across various contract maturities in different market regimes. The study observes the impacts of both May 2004, when excess production capacity reached nearly zero, and September 2006, when electronic trading was implemented on the NYMEX WTI futures markets. This analysis will be used to determine if futures contract information can provide an early indication of market regime shifts and improve short-run crude oil spot price forecast models.     

Time‐Varying Spot and Futures Oil Price Dynamics

In this paper, we investigate the role of crude oil spot and futures prices in the process of price discovery by using daily data over the period from January 1992 to September 2012. We provide evidence that futures markets play a more important role than spot markets, but their relative contributions turn out to be highly unstable, especially for the most deferred contracts. Furthermore, considering the time‐varying dynamics provides evidence of a smaller role for futures markets and a greater role for fundamental factors in driving oil prices during the global financial turmoil of 2007–2008. The implications of the main results for hedging and forecasting crude oil spot prices are also discussed.     

Modelling risk premia in CO2 allowances spot and futures prices

This article analyzes the modelling of risk premia in CO₂ allowances spot and futures prices, valid for compliance under the EU Emissions Trading Scheme (EU ETS). Similarly to electricity markets, a salient characteristic of CO₂ allowances is that the theory of storage does not hold, as CO₂ allowances only exist on the balance sheets of companies regulated by the scheme. The main result features positive time-varying risk premia in CO₂ spot and futures prices, which are strictly higher for post-2012 contracts (€6–9/ton of CO₂) than for Phase II contracts (€0–6/ton of CO₂). Contrary to Benth et al.'s (2008) for electricity markets, a positive relationship between risk premia and time-to-maturity is found in the EU ETS. As for relative differences between CO₂ futures and spot prices, CO₂ futures traded between + 1% (December 2008 contract) and + 33% (December 2014 contract) above spot prices during February 2008–April 2009. Contrary to Bessembinder and Lemmon (2002) for the electricity market, a positive relationship between risk premia and the variance/skewness of CO₂ spot prices is found. The futures-spot bias to the EU ETS explains around 1–6% of the variance of CO₂ futures premia.     

DYNAMICS BETWEEN NORTH AMERICAN AND EUROPEAN AGRICULTURAL FUTURES PRICES DURING TURMOIL AND FINANCIALIZATION

North American and European agricultural futures markets faced significant changes in recent years, i.e., the financialization which originated in the USA, the increase of futures trading in Europe and the recent price turmoils in international commodity markets. We analyse the long‐ and short‐run dynamics between North American and European agricultural futures prices during these institutional changes. The empirical results show that the US markets lead in terms of price transmissions and volatility spillovers. US markets, however, predominantly react to deviations from the long‐run equilibrium which indicates a rising impact of European agricultural markets on a global scale.     

沪铜期货市场价格发现的动态贡献——基于状态空间模型的实证研究

商品期货价格与现货价格的相互关系一直是学术界研究的热点,但大都基于静态的模型。本文从期货定价的持有成本理论出发,通过误差修正方程构建状态空间模型,利用卡尔曼滤波算法从动态的角度研究了2004-2012年期间我国沪铜期货市场价格发现的贡献。实证结果显示:2004-2012年,我国沪铜期货市场价格发现的贡献随着时间的变化而变化。2004-2008年逐步增强;2008年金融危机后,逐步下滑,到2010年,落后于现货市场;之后又有回升趋势。总体来看,沪铜期货市场在价格发现中处于主导地位,但具有明显的波动性。     

Volatility–volume co-movements: evidence from China metal markets

This article investigates the interactional relationship between price volatility and futures trading activity for three heavily traded metal products on the Shanghai Metal Exchange and the Shanghai Futures Exchange. Using models based on vector autoregression and generalized method of moments, we show, in particular, that futures trading activity has a strong impact on both spot and futures price volatility in copper and aluminium markets. Futures trading activity leads spot market volatility in copper and aluminium markets which suggests that futures markets have a destabilizing effect. In order to disentangle the effect of different traders’ types on asset price movements, we decompose futures trading into speculators’ and hedgers’ trading and investigate their contributions to volatility. As a robustness check, we investigate the impact of endogenous structural breaks on the interactional relationship between price volatility and futures trading.     

A frequency domain causality investigation between futures and spot prices of Indian commodity markets

This paper examines the direction, strength and extent of causal relationship between futures and spot prices of Indian commodity markets using frequency domain approach of Breitung and Candelon (2006). Frequency domain analysis offers an effective alternative tool by examining the causality in frequency domain, whereas in traditional econometric causality analysis tools focus only on the time domain. Daily futures and spot price series on eight commodities from the Indian commodity exchanges (MCX and NCDEX) were examined for the period 3rd January, 2008 to 31st December, 2012. The results of frequency domain analysis suggest that there is a strong uni-directional relationship from futures to spot in almost all the selected commodities. This indicates that futures market has a powerful price discovery function in all the selected commodities; which in turn indicates the efficiency of Indian commodity futures market.     

Price discovery and volatility spillover in spot and futures markets: evidences from steel-related commodities in China

The price discovery and spillover effect are significant indicators in futures markets. This study examines the price discovery and spillover effects using vector error correction model and generalized autoregressive conditional heteroskedastic for seven types of steel products in Chinese spot and futures markets. The results show that the price discovery exists in all of steel futures market. It is also confirmed that futures prices in all items are mainly leading spot prices via permanent-transitory and information share. In the results of spillover effects, it is found that wire rod, coking coal, coke and silico-manganese have the effects between spot and futures market. In rebar market, there is the spillover effect from spot to futures. This information about futures prices can help the market participants to make decisions when they predict the spot prices.     

The forward pricing function of industrial metal futures – evidence from cointegration and smooth transition regression analysis

The prices of internationally traded metals have experienced wild swings and increased volatility in recent years. The relationship between spot and futures prices is an important topic in this context, as the current period’s price of a futures contract should be an unbiased estimator of next period’s spot price under the joint assumption of risk neutrality and rationality. Taking as a basis data from the Dow Jones UBS Commodity Index, which uses metals traded on the London Metal Exchange and US exchanges, this study adopts nonlinear smooth transition models to analyze whether the forward spread is a leading indicator of future spot price movements. Our findings suggest that such a price discovery function can in most cases only be identified in periods of low volatility or small previous spreads. Moreover, the underlying dynamics are captured best by the use of a logistic transition function.     

期货市场与现货市场之间的价格研究--中国农产品市场的经验

本文借助于信息共享模型与波动溢出效应模型对我国大豆和小麦的期、现货市场之间的价格发现进行了多层次的实证研究,定量描述了期、现货市场在价格发现中作用的大小,深入刻画了我国农产品期、现货市场之间的动态关系.研究结果显示:大豆期、现货价格之间存在双向引导关系,小麦仅存在期货对现货的单向引导关系;期、现货市场均扮演着重要的价格发现角色,且期货市场在价格发现中处于主导地位;期、现货市场之间均存在双向波动溢出关系,但现货市场来自期货市场的波动溢出效应均强于期货市场来自现货市场的波动溢出效应;并且,随着期货市场的发展,期、现货市场之间的波动溢出程度均呈逐渐增强态势.     

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.     

Price Discovery and Efficiency of Indian Agricultural Commodity Futures Market: An Empirical Investigation

This study examines the price discovery process and relative efficiency of ten most liquid agricultural commodities’ futures contracts, traded on the largest agricultural commodity exchange of India (National Commodity and Derivative Exchange Limited). Three different common factor methodologies—component share method (Gonzalo and Granger in J Bus Econ Stat 13:27–35, 1995), information share method (Hasbrouck in J Financ 50:1175–1199, 1995), and modified information share method (Lien and Shrestha in J Futures Mark 29:377–395, 2009)—have been employed to determine the extent of price discovery contribution by spot and futures markets. The sample consists of daily data for the period from January 1, 2009 to October 20, 2015. Stationarity and Cointegration test results reveal that spot and futures prices are integrated and cointegrated for all commodities. The price discovery results show that the futures market leads the spot market in case of six commodities, i.e., castor seed, coriander, cottonseed oilcake, soy oil, sugarM and turmeric. Whereas, in the case of four commodities (chana (chickpea), guar seed, jeera, and mustard seed), price discovery takes place in the spot market. Therefore, it could be inferred that futures market is more efficient in price discovery of agricultural commodities. Policymakers could use these results to design futures contracts on other commodities or to plan concrete policies to curb speculation without hampering the efficiency of the agricultural commodity derivatives market.

     

Market efficiency in the Spanish derivatives markets: An empirical analysis

This paper analyzes Granger caUSAlity between daily prices of the Spanish stock index (Ibex 35) and its futures contract using Johansen cointegration methodology. The study differentiates between short-run and long-run caUSAlity. The empirical results prove that, in the short run, the futures price causes the spot price. However, the opposite is not true. On the other hand, long-run caUSAlity is embodied in the response of futures prices after deviations from the long-run equilibrium. These results say that during the period of study, the Spanish futures market behaved as an efficient market.     

Futures price dynamics of CO2 emission allowances

We analyze the pricing and lead–lag relationship between spot and futures prices of CO₂ emission allowances in the EU emission trading scheme. We show that the cost-of-carry hypothesis between spot and futures prices holds for the trial period. In this period we focus on how fast a deviation from equilibrium due to shocks is restored. We derive testable restrictions on the loading coefficients and the short term dynamics within a vector error correction model. Previous studies in this field did not take into account the effects of lagged differences in the determination of the speed of adjustment. The results indicate that deviations from equilibrium are restored faster for the futures price series maturing in 2006 than for the futures price series maturing in 2007. Furthermore, we conduct an impulse response analysis using local projections with conditional confidence bands. Finally, we give an outlook for the Kyoto commitment period which is already running. In this time period so far we find that the cost-of-carry hypothesis does not hold.     

A cointegration analysis of agricultural,energy and bio-fuel spot,and futures prices

This article features an analysis of the cointegration relationships among agricultural commodity, ethanol and Cushing crude oil spot, and future prices. The use of grains for the creation of bio-fuels has sparked fears that these demands are inflating food prices. We analyse approximately 10 years of daily spot and futures prices for corn, wheat, sugar ethanol, and oil prices from Datastream for the period 19 July 2006 to 2 July 2015. The analysis features Engle-Granger pairwise cointegration and partial cointegration. Pairs of series, that are cointegrated, are analysed using Markov-switching VECM and Impulse Response Analysis, which confirms that these markets have significant linkages that vary according to whether they are in low or high volatility regimes.     

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.     

Nonlinearities in carbon spot-futures price relationships during Phase II of the EU ETS

This paper uses the Vector Autoregressive (VAR) model and the Switching Transition Regression-Exponential GARCH models (STR-EGARCH) to examine the dynamic relationships between the EU Emission Allowances (EUA) spot and futures prices during Phase II. Compared to the majority of previous studies, our empirical approach allows us to simultaneously capture asymmetry and nonlinearity effects in both return and volatility processes of carbon allowance prices. Our main findings show that carbon spot and futures returns are asymmetrically and nonlinearly linked, suggesting the usefulness of nonlinear models in pricing and forecasting carbon allowances prices.     

FUTURES MARKETS AND BUBBLE FORMATION IN EXPERIMENTAL ASSET MARKETS*

Abstract. We construct asset markets of the type studied in Smith et al. (1988) , in which price bubbles and crashes are widely observed. In addition to a spot market, there are futures markets in operation, one maturing at the beginning of each period of the life of the asset. We find that when futures markets are present, bubbles do not occur in the spot markets. The futures markets seem to reduce the speculation and the decision errors that appear to give rise to price bubbles in experimental asset markets.     

Financial frictions and the futures pricing puzzle

In perfect capital markets, the futures price of an asset should be an unbiased forecast of its realized spot price when the contract matures. In reality, futures prices are often higher for some assets and lower for others. However, there is no stability in the relationship between futures prices and the realized spot prices. This instability has been a puzzle in the existing financial literature. The key to this puzzle may lie in the nature of the model and the lack of market imperfections. In this study, we take a theoretical approach in a dynamic multi-period environment. We incorporate competition between disparate economic agents and impose financial frictions (i.e., imperfections) that are in the form of hedging and borrowing limits on them. Our model gives rise to multiple equilibria, each with unique market clearing prices, with the market switching between these equilibria. Our analysis incorporates a comprehensive consideration of the risks faced by the futures markets participants (i.e., speculators and hedgers) and leads to a better understanding of the puzzle.     

Price and volatility dynamics between securitized real estate spot and futures markets

This study is among the first to examine the price, volatility and covariance dynamics between securitized real estate spot and futures markets. It provides a distinctive and yet complementary perspective on the predictability of real estate spot return and spot volatility based on the information from the spot market alone. The results show that for the EPRA/NAREIT Europe index, the spot market tends to lead its futures market in the long run during the sample period, which can be attributed to a rather illiquid real estate futures market in sharp contrast with a voluminous spot market. Furthermore, we find the V-shaped asymmetric effect of the basis on the futures market volatility, which represents the primary channel of strong volatility transmission between securitized real estate spot and futures markets during the whole sample and the post-crisis period. This sheds light on the hedging effectiveness for the REIT index.