Non-storables, Simultaneity and Price Determination: The Australian (Finished) Live Cattle Market

Empirical studies of simultaneous rational expectations (RE) models of spot and futures markets for non-storable commodities, such as finished live cattle, are rare. Indeed, only two countries, the US and Australia, have produced data sets for the study of such markets. This paper develops, and presents estimates of a simultaneous RE model of the live cattle market in Australia, the world's leading beef exporting country. The model contains functional relationships for short hedgers and short speculators, long hedgers and long speculators, and consumers, and is completed with a spot price equation and market clearing identity. Augmented Dickey-Fuller and Phillips-Perron tests for unit roots are executed, and Johansen cointegration tests are employed to investigate whether the I(1) variables are cointegrated. Structural equations are estimated by maximum likelihood when ARCH effects are present, by instrumental variables in the absence of serial correlation, and by non-linear least squares when a correction for autocorrelation is required. The estimates of all structural parameters are significant at the five per cent level. Post-sample, the model forecasts spot and futures prices with per cent RMSE's of 4.4 per cent and 2.5 per cent, respectively. In forecasting the spot price, the model outperforms but not significantly, a random walk, an ARIMA model, and a lagged futures price as a predictor of the spot price. The outcome of this last comparison implies that the efficient markets hypothesis cannot be rejected.     

Rational Expectations and Price Determination in the US Oats Market

This paper develops a simultaneous rational expectations model of the US oats market Consistent estimates of the structural parameters are obtained by the instrumental variables method and 15 of 16 parameter estimates are significant at the 5 per cent level Estimated elasticities suggest that hedged stocks are more responsive to price changes than unhedged stocks, and that consumption demand for oats is more responsive to income changes than to changes in price. Post-sample forecasts of the spot price derived from this model are employed to test the semi-strong form efficient markets hypothesis (EMH), although the futures price outperforms the model as a predictor of the spot price. Hence the EMH cannot be rejected     

Simultaneity,Forecasting and Profits in London Copper Futures

Previous research on price determination for non‐ferrous metals at the London Metal Exchange (LME) suffers from three limitations: first it has employed single equation methods only, which cannot explain the simultaneous determination of spot and futures prices; second, by focusing on current and lagged prices, previous research does not analyse the effect on price determination of critical variables such as expectations, consumption and inventories; third, the outcome of prior research regarding market efficiency is ambiguous. This paper, which addresses these issues, develops a simultaneous model of the copper market at the LME, with representation of the activities of hedgers, speculators and consumers. This model produces post‐sample forecasts of the spot price which outperform conventional benchmarks, thus providing evidence against the efficient market hypothesis. Model‐derived forecasts are employed as the foundation of a trading program which produces risk‐adjusted profits (net of commission costs) for holding periods of one week and one month, thus fulfilling the ‘sufficient condition’ for market inefficiency. This study, therefore, provides new insights into price determination on the LME copper market, and resolves the ambiguity of previous research regarding the efficiency of that market. This is the first application of the model forecasting approach to the question of performance of the market for copper.     

The forecasting approach to efficiency in the wool market

This paper develops and presents estimates of a simultaneous equations model of the Australian wool market, the world's largest producer and exporter of fine wool. The model contains functional relationships for unhedged inventories, consumption of raw wool, and the activities of both hedgers and speculators in wool futures. Expectations are represented by the adaptive hypothesis. This model extends the work of Leuthold and Hartmann (1979) and Leuthold and Garcia (1988) by including expectations in the spot-futures model, and that of Goss and Giles (1986) by including composite equations for hedger-speculators, extending the expectations hypothesis to the consumption equation, and by using the model to test the efficient markets hypothesis. Wald tests and likelihood ratio tests for unit roots in wool cash prices are conducted and in no case can the hypothesis of a single unit root be rejected. Estimation is by three stage least squares, with correction for first order serial correlation. The model provides good intra- and post-sample forecasts of most variables, especially of unhedged inventories and consumption of wool, both important spot market relationships. The model-derived forecast of the spot price is inferior to the forecast implicit in the futures price, although a compositive predictor clearly outperforms the futures price as an anticipation of subsequent cash prices. Nevertheless, it is suggested that the efficient markets hypothesis should not be rejected, because there is evidence that futures market agents are learning to use the information contained in the model.     

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.     

Modelling the dynamics of European carbon futures price: A Zipf analysis

This article investigates the European carbon futures price dynamics by applying the Zipf analysis. The results show that: first, carbon price behaviour is asymmetric, and the long-term bearish probability is greater than the long-term bullish probability. Second, time-scales of investment and speculators' expectations of returns have dual effects on carbon price behaviour. The longer the time-scales of investment, the higher the bearish probability. The lower the expectations of returns, the smaller the distortion of carbon price behaviour. Third, the differences in carbon market cognitions from non-greedy speculators with different expectations of returns mainly lie in the amplitudes and occasions of carbon price fluctuations, rather than in the carbon price fluctuations themselves. Fourth, speculators' expectations of returns have critical points. Once the critical points are reached, they will no longer be able to distort carbon price behaviour. Finally, we discuss some investment advice for supports of the decision-makers. For non-greedy-type speculators, they will choose to hold negatively in the short term and buy and hold in the long term, while for greedy-type speculators they will sell their European Union Allowances (EUAs) in the short term, and buy and hold in the long term. The results are helpful to hedge against unwanted carbon price movements, and to understand the transactions between different types of agents.     

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.     

Can Economists Forecast Exchange Rates? The Debate Re‐Visited: The Case of the USD/GBP Market

In the debate on forecasting exchange rates, critics claimed that traditional macroeconomic models could not outperform a random walk in post‐sample forecasts. Perceived deficiencies include inadequate allowance for simultaneity, and expectations hypotheses inconsistent with the structure of models employed. This paper re‐visits the debate, first to address critics' major concerns, and second because in the view of the present authors, the debate closed on an unduly pessimistic note. This paper develops a simultaneous, rational expectations model of the USD/GBP market, with functional relationships for hedgers, speculators and a spot rate equation. The model is estimated with data contemporaneous to the debate, including a period during which the US Commodity Futures Trading Commission did not collect data on traders' open positions. Using the results of post‐debate research on tests for stationarity with missing observations, the model, using only public information, outperforms a random walk in post‐sample forecasts of the spot rate. Recent microstructure models of the exchange rate based on order flow have re‐kindled the forecasting debate. The model developed here, however, is differentiated from these microstructure models, first because order flow utilises both public and private information, and second because the microstructure models do not directly address critics' concerns.     

Separating the Roles of Speculators and Consumers: a Model of Futures Trade

The general equilibrium model of Britto (1984) is criticised. In particular, it is shown that allowing consumers to trade on the futures market leads to more complicated results than necessary. If consumers do not trade futures, and only producers and speculators do, results are greatly simplified. Consumer risk parameters, and parameters of producers production function are irrelevant. The differential between the futures price and the expected spot price, and the direction of futures trade is shown to depend in a straightforward way on the price elasticity of demand for the product on the spot market.     

The impact of liquidity constraints on the cash-futures basis dynamics: Evidence from the Chinese market

This study investigates the impact of liquidity constraints on the dynamics of the cash-futures basis in the Chinese futures market. By analyzing the trading behaviors of hedgers, speculators, and arbitrageurs in a liquidity constraint context, we document two effects: the expectation effect and the liquidity effect. We further propose a set of threshold vector error correction models (VECMs) for the CSI 300 index and CSI 300 index futures to examine these two effects separately and jointly. We find evidence for both effects. We also find that a basis-liquidity-based threshold VECM, which includes both effects, performs well in explaining why the degree of persistence of a large basis depends on the direction of divergence in the cash-futures price relationship, a stylized fact we observe in the Chinese futures market.     

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.     

The links between international parity conditions and Granger causality: a study of exchange rates and prices

This article provides a simple equilibrium model of a futures market. Since the futures market is a zero sum game, some firms will, in equilibrium, end up being ‘speculators’ who bet against ‘hedgers’. We show it is firms that have high initial capital and/or poor production opportunities that are the most likely candidates to bet against the hedgers. In equilibrium, these groups earn a premium in order to provide this insurance so that speculating increases value. We also provide some results that imply an inverted U shaped relationship between trading volume and the level of futures prices. Empirical evidence from the S&P futures contract provides strong empirical support for this theoretical result.     

期货投机交易对现货市场的稳定效应及福利分析

设立股指期货市场 ,引入大量投机交易者是否会对证券现货市场产生负面影响 ,是导致目前市场管理者在设立股指期货市场时犹豫不决的重要原因。本文通过建立两阶段的理论模型以及国际股指期货币市场数据的实证表明 ,股指期货的风险分担和信息传递功能将导致我国股票现货市场波动的减缓和原有市场参与者福利的提高     

外汇市场干预信号渠道与投机头寸相关性研究

文章主要通过研究外汇市场干预操作与货币政策改变之间是否存在相关性,来考察中央银行在外汇市场上进行冲销干预的效果。在央行拥有内部信息,投机者拥有基本面私有信息的条件下,文章使用GARCH时间序列模型,以期货市场上能够反映市场参与者对公开及私有信息理解的投机净头寸(变化)数据作为预期的代理变量展开分析。文章的结论不支持信号渠道,外汇市场上的可预期干预结果更可能与央行期望的干预方向相反,并且过去的投机者净头寸持有量可以促使干预发生。     

我国商品期货市场节约社会试错成本研究

随着市场经济的发展,对期货市场功能的认识不断深化。文章在总结已有研究的基础上提出了价格发现是期货市场基本功能的观点,并将价格发现功能归结到微观上的套期保值、投机、套利和宏观上的节约社会试错成本。文章通过南华期货商品综合指数与PPI的关系检验,证实我国商品期货市场起到了节约社会试错成本的作用。为更好地发挥这一功能,应大力推进期货市场建设,完善商品期货体系,推出权威合理的商品期货指数。     

基于“期货＋制造”视角的我国PVC产业链模式研究

在石化行业高成本支撑时代下，“期货＋制造”这一新颖产业模式是我国PVC产业可持续发展的路径选择。本文基于产业链升级作用机理提出的以期货工具为纽带的企业价值链模型和立体旋转“钻石”模型，构建了我国PVC期现市场共同健康发展的理论分析框架。实证结果显示，PVC期货价格发现功能有限，回避风险功能效果较差，现货市场仍起主要作用，因此PVC期现市场之间的互动还需进一步加强。     

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.     

Dynamic hedge ratio for stock index futures: application of threshold VECM

This study represents one of the first papers in stock-index-futures arbitrage literature to investigate the effects of arbitrage threshold on stock index futures hedging effectiveness by using threshold vector error correction model (hereafter threshold VECM). Moreover, in contrast to prior studies focusing on examining case studies involving mature stock markets, this study not only adopts US S&P 500 stock market as the sample but also adds an analysis of one emerging stock market, Hungarian BSI and examines the differences between them. Finally, this investigation employs a rolling estimation process to examine the impact of arbitrage threshold behaviours on the setting of futures hedging ratio. The empirical findings of this study are consistent with the following notions. First, arbitrage behaviour reduces co-movement between futures and spot markets and increases the volatility of both futures and spot markets. Second, this article denotes the outer regime of futures-spot market for the case of Hungarian BSI (US S&P 500) as a crisis (an unusual) condition. Moreover, arbitrage threshold behaviours make remarkable (unremarkable) shift on optimal hedge ratio between two different market regimes for the case of Hungarian BSI (US S&P 500). Finally, the framework involving regime-varying hedge ratio designed in this study provides a more efficient futures hedge ratio design for Hungarian BSI stock market, but not for US S&P 500 stock market.     

Strategic noise traders and liquidity pressure with a physically deliverable futures contract

Do physically deliverable futures contracts induce liquidity pressure in the underlying spot market? The answer is believed to be no since the asset is delivered sometimes after the expiration of the contract so that the futures trader's payoff does not clearly depend on the price of the underlying stock at expiration. We construct a rational expectations equilibrium model in which a strategic uninformed trader induces liquidity pressure in the underlying spot market at the expiration of a physically deliverable futures contract. Liquidity pressure is the result of a pure informational advantage: if it is known that futures traders hedge their position in the spot market then a strategic trader with no information about the fundamental value of the underlying has an incentive to create noise in the futures market in order to gain information on the composition of the spot order flow at future auctions. We show that informed traders benefit from this form of strategic noise and that the efficiency of the prices remains unaffected.     

Index arbitrage and dynamics between REIT index futures and spot prices

This article contributes to the real estate literature by investigating the pricing relationship between REIT index futures and spot. Based on the cost-of-carry model, we first show that there exist three arbitrage regimes in Australia’s REIT spot-futures price dynamics. Further analysis indicates that the two thresholds, which separate the regimes, are largely consistent with the level dictated by transaction costs. We then estimate a threshold vector error correction model (TVECM). The results show that mean reversion of the mispricing error only takes place in the two outer regimes. Furthermore, we find evidence that REIT spot market is more informationally efficient than the futures market. Given its short history, it will take time for REIT index futures market to mature. Finally, we find that we can enhance hedging performance by accommodating the feature of threshold cointegration displayed by the data. As the futures-spot relationship differs across regimes, we can develop a hedging strategy by adjusting the hedge ratio based on arbitrage regimes. It leads to a greater variance reduction for the hedged portfolio than some conventional methods examined in the existing real estate literature.