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.     

How does leverage in stock market influence the margin of stock index futures?

In this article, we propose a margin-setting model under the assumption of extreme stock price changes. Specifically, extreme stock price changes are caused by the positive feedback effect of leverage and market impact. By introducing these factors into the futures price changes through a cost-of-carry model for setting the margin of stock index futures, we find that leverage and market impact in stock market are positively correlated with the margin.     

An analysis of extreme movements of exchange rates of the main currencies traded in the Foreign Exchange market

This article analyses the extreme movements of exchange rates of the seven main currencies traded in the Foreign Exchange market against the US dollar: Euro, British pound, Canadian dollar, Japanese Yen, Swiss franc, Australian dollar and New Zealand dollar by using tail index indicators. Payaslio?lu (2009) considers the case of the Turkish exchange rate using the traditional Hill (1975) estimator as a tool. In this article, we employ also an alternative estimator proposed in Iglesias and Linton (2009) that is shown to have, in some cases, improved finite sample properties and it provides substantially different results versus the Hill estimator. We find that for the Euro, Japanese Yen, Swiss franc, Canadian, Australian and New Zealand dollars, the Hill estimator provides a better measure to analyse the extreme behaviour; while for the British pound, the Iglesias and Linton alternative estimator is superior by using Hausman-type tests of misspecification. Measures of value at risk are also provided for the seven markets. We also find that the largest estimated value at risk by far is for the Japanese Yen, followed by the Swiss franc, the Canadian dollar, the Euro, the New Zealand dollar and the Australian dollar. The UK pound has the smallest value at risk when extreme movements occur.     

Risk premia in forward foreign exchange rates: a comparison of signal extraction and regression methods

We investigate possible presence of time-varying risk premia in forward pound, yen, and Euro monthly exchange rates versus the US dollar over the last two decades. We study this issue using regression techniques and separately using a signal plus noise model. Our models account for time-varying volatility and non-normality in the observed series. Our regression model rejects the hypothesis that the forward rate is an unbiased predictor of future spot exchange rate, indicating the existence of time-varying risk premium under rational expectations. Our signal plus noise model reveals a time-varying risk premium component in yen and Euro. The same model provides evidence for the presence of risk premium in pound over a shorter sample period, though not over the entire sample. We conclude that risk premia exist, although we may fail to detect these for some currencies over specific time periods.     

The Expectations Theory of the Term Structure of Interest Rates in Australia*

The aim of this paper is to test the expectations theory of the term structure of interest rates in the Australian market for short-term financial assets. The paper finds that the joint hypothesis of the expectations theory and zero (or a constant risk premium) cannot be rejected in the period since the introduction of the tender system for sale of government securities in 1979. The floating of the Australian dollar in 1983 did not alter the findings.     

Testing the efficiency of the futures market for crude oil in the presence of a structural break

The efficiency of the futures market for crude oil has been the subject of significant study, with the basis regression representing a popular methodology. However, the parameters of this model are subject to a structural break, casting doubt on any conclusion regarding the efficiency of the futures market. To address this problem, this article employs a simple generalization which is capable of testing the efficiency of a futures market in the presence of a structural break. Using this approach, strong evidence of inefficiency is found in the one month futures contract for West Texas Intermediate for the period between 1985 and 2013, which is otherwise not detected.     

Nonlinear dynamics in arbitrage of the S&P 500 index and futures: A threshold error-correction model

Using a three-regime threshold error-correction model, we investigate the nonlinear dynamics of the S&P 500 index and futures. First, using the SupLM statistic, we report estimates of two thresholds for the three-regime model to explain the nonlinear dynamics in arbitrage of the S&P 500 index and futures. This provides empirical evidence of the no-arbitrage band predicted by the cost-of-carry model. Second, using quasi-maximum likelihood estimation, we demonstrate that those indexes that are located outside the no-arbitrage band are a nonlinear stationary process of mean-reversion to the no-arbitrage band. However, index and futures that are located within the no-arbitrage band are non-stationary. Third, we confirm an earlier finding that futures price leads the nonlinear mean-reverting behavior of the index but not vice versa. Impulse response function analysis and forecasting performance of three-regime error-correction model reinforce our findings and our estimation results are robust with different specifications of pricing error terms and endogenous variables.     

Growth: some combined cross- sectional and time series evidence from OECD countries

The uncovered interest rate parity hypothesis and three variants of the monetary approach to exchange rate determination are assessed under a vector autoregression representation of the available information variables, using monthly data on six major US dollar exchange rates over the period 1978–90. A large information set is used, and the time series properties of the information variables are taken into account. The cross-equation restrictions imposed on the estimated parameters are tested statistically and the economic significance of the models is evaluated independently on the basis of appropriate volatility tests. A weak test for exchange rate bubbles, based on a decomposition of market noise, is proposed.     

Nonlinearities in Exchange-Rate Dynamics: Evidence from Five Currencies, 1973–94

Although exchange rates appear to follow a random walk when tested against linear alternatives, the null hypothesis of a random walk is rejected against a cubic alternative which embodies the intuition that the rate of mean-reversion increases with distance from equilibrium. A possible theoretical foundation for such a model is suggested. The model is tested on bilateral real exchange rates between four major currencies, and on the real effective exchange rate of these four plus the Australian dollar. The cubic model consistently outperforms its linear counterpart and the results imply that real exchange rates are in fact stationary.     

FUTURES MARKET EFFICIENCY,THE UNBIASEDNESS HYPOTHESIS AND VARIANCE-BOUNDS TESTS: THE CASE OF THE FTSE-100 FUTURES CONTRACT*

The efficiency of futures markets is critical to their price discovery role. This paper investigates the joint hypothesis of market efficiency and unbiasedness of futures prices for the FTSE-100 stock index futures contract. Unlike previous studies, it tests for both long-run and short-run efficiency using cointegration and error correction models. Variance-bounds tests are developed and utilized for examining the question of efficiency. Results show that the market is efficient and provides an unbiased estimate of future spot prices for one and two months away from expiration. However, for three and more months away from expiration this is not the case, which has implications for the users of this market.     

ASYMMETRIC INFORMATION IMPACTS: EVIDENCE FROM THE AUSTRALIAN TREASURY-BOND FUTURES MARKET

Abstract.  The effect of information flows on the return volatility of Australian 3-year Treasury bond futures is examined using linear and non-linear GARCH models. Results show significant asymmetric information effects, where bad news has a greater impact on volatility than good news and a non-linear Threshold ARCH(1,1) in mean model provides the most accurate estimation of return volatility. Diagnostic tests confirm this finding and out of sample forecasting error statistics verify that the Threshold ARCH(1,1) in mean model yields the lowest forecasting error. The Threshold ARCH(1,1)-M model is best at capturing the asymmetric information impact on the Australian three-year T-Bond futures return volatility.     

Sources of Exchange Rate Movements in Japan: Is the Exchange Rate a Shock‐Absorber or a Source of Shock?

This paper investigates the sources of movements of the yen–dollar exchange rate using a structural vector autoregression (VAR) with a combination of short‐run and long‐run zero restrictions. We find that real shocks dominate nominal shocks in explaining the exchange rate movements, with relative real demand shocks as the major contributor. The exchange rate market does not seem to be a major source of disturbances to the Japanese economy. The overall results support the view that the bilateral dollar exchange rate in Japan is a shock‐absorber rather than a source of shocks.     

The Efficiency of the Market for Bank Accepted Bills*

The speculative efficiency of the Sydney Futures Exchange's market in bank accepted bills is examined by considering if the futures price is an unbiased predictor of the subsequent spot price and if other publicly available information can improve on this predictor. Data spanning the period 1980(1) to 1986(5) are employed The results are adverse to the efficiency hypothesis in that the futures price in some cases is not an unbiased predictor and neither is it an optimal predictor.     

Measuring Monetary Policy in Germany: A Structural Vector Error Correction Approach

Abstract. A structural vector error correction (SVEC) model is used to investigate several monetary policy issues. While being data-oriented the SVEC framework allows structural modeling of the short-run and long-run properties of the data. The statistical model is estimated with monthly German data for 1975–98 where a structural break is detected in 1984. After splitting the sample, three stable long-run relations are found in each subsample which can be interpreted in terms of a money-demand equation, a policy rule and a relation for real output, respectively. Since the cointegration restrictions imply a particular shape of the long-run covariance matrix this information can be used to distinguish between permanent and transitory innovations in the estimated system. Additional restrictions are introduced to identify a monetary policy shock.     

The forecasting ability of a cointegrated VAR system of the UK tourism demand for France, Spain and Portugal

This paper uses the vector autoregressive (VAR) methodology as an alternative to Deaton and Muellbauer’s Almost Ideal Demand System (AIDS), to establish the long-run relationships between I(1) variables: tourism shares, tourism prices and UK tourism budget. With appropriate testing, the deterministic components and sets of exogenous and endogenous variables of the VAR are established, and Johansen’s rank test is used to determine the number of cointegrated vectors in the system. The cointegrated VAR structural form is identified and the long-run structural parameters are estimated. Theoretical restrictions such as homogeneity and symmetry are tested and not rejected by the VAR structure. The fully restricted cointegrated VAR model reveals itself a theoretically consistent and statistically robust means to analyse the long-run demand behaviour of UK tourists, and an accurate multi-step forecaster of the destinations’ shares when compared with unrestricted reduced form and first differenced VARs, or even with the structural AIDS model.     

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.     

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.     

Is there an asymmetric effect of monetary policy over time? A Bayesian analysis using Austrian data.

The present paper assesses whether monetary policy effects are asymmetric over the business cycle by estimating a univariate model for GDP including additionally the first difference of the 3-month Austrian interest rate as a measure for monetary policy. The asymmetry of the effects is captured by allowing for state-dependent parameters where the latent state variable follows a Markov switching process. The model is estimated within a Bayesian framework using Markov Chain Monte Carlo simulation methods. Model selection and specification tests are performed by means of marginal likelihood. The results document significant negative effects of monetary policy during periods of below-average growth, while the effect seems insignificant during periods of normal or above-average growth. These results corroborate those derived in theoretical models assuming price rigidities and implying a convex supply curve. Additionally, the concern of using appropriate state-identifying restrictions is raised to obtain an unbiased posterior inference. Finally, the analysis concludes by assessing the robustness of the results with respect to alternative measures of monetary policy. First Version Received: December 2000/Final Version Received: May 2001     

Financial Deregulation And The Relationship Between The Economy And The Share Market In Australia

In this paper we investigate the effect of financial deregulation on the relationship between the macro-economy and the share market within the framework of a VAR using quarterly Australian data for four variables – aggregate share prices, real output, the term premium and the default premium. After an analysis of stationarity and cointegration of the variables, we specify the VAR in the first differences of the logs of share prices and output and the levels of the premia. We identify December 1983 as the most appropriate date for testing for a structural break in our model due to financial deregulation and find strong evidence supporting our hypothesis of a break at this date. We go on to estimate and simulate the model separately over two sub-samples: 1978(1)–1983(4) and 1984(1)–2001(2). While our results are not clear-cut, we find that, if anything, the deregulation of financial markets weakened the relationship between the share market and the rest of the economy.     

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.