Price dynamics in corn cash and futures markets: cointegration,causality, and forecasting through a rolling window approach

Financial Markets and Portfolio Management - This paper examines the causal structure among the daily corn futures and seven cash price series from Midwestern states from January 3, 2006, to March...     

Market imperfections and the information content of implied and realized volatility

The information content of option implied volatility and realized volatility under market imperfections are studied in the context of GARCH modeling and volatility forecasts of Taiwan stock market (TAIEX) returns. Consistent with most studies, we find that the Taiwan implied volatility index (TVIX) calculated from the TAIEX option prices contains most of the information, and that White's [White, H., 2000. A reality check for data snooping. Econometrica 68, 1097–1126] reality check test cannot reject the null hypothesis that the TVIX provides the best forecast. Possibly due to market imperfections, however, the incremental information content of realized volatility as well as daily returns cannot be ruled out. Finally, we also find that the information is found only in the most recent TVIX, indicating information is being efficiently impounded on the TAIEX option prices. This finding suggests that appropriately designed derivative products can alleviate the problems caused by market imperfections.     

Price limits in futures markets: effects on the price discovery process and volatility

Price limits are actively employed by many futures exchanges as a regulatory mechanism directed at reducing volatility and improving price discovery process. The aim of this paper is to investigate whether price limits achieve these goals without affecting market liquidity for a number of agricultural futures contracts. We employ models of changing volatility in order to show that price limits do not appear to significantly reduce market volatility. In addition, we find evidence confirming the hypothesis that price limits delay price discovery instead of facilitating it. Our results also suggest that the impact of price limits on volatility and price reversals, found in previous studies, are mainly due to the properties inherent to the futures returns, such as volatility clustering. Finally, although trading decreases significantly due to the price limits, traders do not seem to switch from the contracts affected by price limits to other maturities in order to minimize the impact of circuit breakers.     

The relationship between implied and realized volatility: evidence from the Australian stock index option market

This paper examines the relationship between the volatility implied in option prices and the subsequently realized volatility by using the S&P/ASX 200 index options (XJO) traded on the Australian Stock Exchange (ASX) during a period of 5 years. Unlike stock index options such as the S&P 100 index options in the US market, the S&P/ASX 200 index options are traded infrequently and in low volumes, and have a long maturity cycle. Thus an errors-in-variables problem for measurement of implied volatility is more likely to exist. After accounting for this problem by instrumental variable method, it is found that both call and put implied volatilities are superior to historical volatility in forecasting future realized volatility. Moreover, implied call volatility is nearly an unbiased forecast of future volatility.

Risk premia in the term structure of crude oil futures: long-run and short-run volatility components

Review of Quantitative Finance and Accounting - This paper studies how volatility affects the risk premium in crude oil futures through a discrete-time term structure model with long-run and...     

Japanese foreign exchange intervention and the yen-to-dollar exchange rate: A simultaneous equations approach using realized volatility

We use realized volatility to study the influence of Japanese central bank interventions on the yen-to-dollar exchange rate. A system of equations for returns, logarithmic realized volatility, and interventions provides a comprehensive view on the problem without endogeneity bias, unlike earlier latent variable specifications. We find that during the period 1991 through 1995, interventions of the Japanese monetary authorities could not move the yen-to-dollar rate into the desired direction. We measure an increase in volatility associated with interventions. During the period 1995 through 1998, the estimations are consistent with interventions that successfully influenced returns. After 1998 up to the last intervention episode in 2004, interventions did not have a significant impact on returns but reduced realized exchange rate volatility.     

The distribution of realized variances: Marginal behaviors, asymmetric dependence and contagion effects

We examine the unconditional distribution of the realized variance of three European stock market indexes obtained from intraday transaction prices. We find that they share common distributional features: a significant mass close to zero, a sharp decrease afterwards and a significant right tail. Their important differences, however, compel us to model them non-parametrically through lognormal kernel estimators. We then move to the analysis of their dependence structure and find strong evidence of asymmetry. Hence, unlike common practice, we resort to non-exchangeable copula models. Such a characterization also allows us to assess the direction of greater contamination among stock market variances.     

Market closure effects on return, volatility, and turnover patterns in the Hong Kong index futures market

This paper examines the market closure effect of the Stock Exchange of Hong Kong (SEHK) on the intraday behaviour of the index futures contract which continues to trade for 5–15 min after the close of the SEHK. The behaviour of the index futures market in Hong Kong is consistent with the contagion model of King and Wadhwani (1990) in that the close of the SEHK leads to an immediate downturn in the return, volatility, and turnover in the index futures market. The long period of nontrading before the morning also leads to a higher morning volatility and turnover.     

The innovations of e-mini contracts and futures price volatility components: The empirical investigation of S&P 500 stock index futures

The effect of the initiation of e-mini stock index futures (ESIFs) on the volatility components of S&P 500 stock index futures is herein investigated. The study decomposes S&P 500 stock index-related observed volatilities into unobserved fundamental volatility and transitory noise and utilizes the decomposition to test two hypotheses: the “clientele factor hypothesis” and the “information adjustment hypothesis”. The first hypothesis proposes that the ESIFs attract more noisy traders who prefer trading the friendly-size futures contracts. The second one proposes that the innovations of ESIFs improve the information flow of the futures markets. Using a stochastic volatility model, the empirical results are consistent with both of our proposed hypotheses.     

Intraday dynamics of volatility and duration: Evidence from Chinese stocks

We propose a new joint model of intraday returns and durations to study the dynamics of several Chinese stocks. We include three U.S. stocks for comparison. Flexible innovation distributions are used for durations and returns, and the total variance of returns is decomposed into different volatility components associated with different transaction horizons. The new model provides strong improvements in density forecasts for duration and returns and only modest gains for points forecasts of the variance of returns. The conditional hazard functions are non-monotonic and there is strong evidence for different volatility components. Although diurnal patterns, volatility components, and market microstructure implications are similar across the markets, there are interesting differences. Durations for lightly traded Chinese stocks tend to carry more information than heavily traded stocks. Chinese investors usually have longer investment horizons, which may be explained by the specific trading rules in China.     

The role of stochastic volatility and return jumps: reproducing volatility and higher moments in the KOSPI 200 returns dynamics

This paper investigates the role of stochastic volatility and return jumps in reproducing the volatility dynamics and the shape characteristics of the Korean Composite Stock Price Index (KOSPI) 200 returns distribution. Using efficient method of moments and reprojection analysis, we find that stochastic volatility models, both with and without return jumps, capture return dynamics surprisingly well. The stochastic volatility model without return jumps, however, cannot fully reproduce the conditional kurtosis implied by the data. Return jumps successfully complement this gap. We also find that return jumps are essential in capturing the volatility smirk effects observed in short-term options.

International CO2 taxation and the dynamics of fossil fuel markets

International CO₂ taxation may have major implications for fossil fuel markets. These effects must be taken into account in calculating the net gain from CO₂ taxation. The paper assumes that buyers have formed an agency that applies a CO₂ tax and sellers are competitive or constitute a resource cartel. When sellers are competitive, buyers' agency may use monopsony power by applying an import tariff. At the resulting time-consistent equilibrium, the sellers lose their resource rent. In contrast, the solution where the sellers' cartel maximizes its profits is time inconsistent. At the time-consistent Nash feedback equilibrium, the seller's monopoly power vanishes asymptotically. The sellers' export fee reduces the buyers' pollution tax. At this equilibrium, the buyers' pollution tax includes an import subsidy, and the tax falls below the present value of the marginal pollution damage. In the Nash feedback equilibrium, higher pollution damage may imply higher initial producer prices, although this effect is always the reverse in the Pareto optimum.     

On expectations,term premiums and the volatility of long-term interest rates

Shiller has shown that the variance of the holding-period yield on long-term bonds may frequently exceed a bound implied by the rational expectations model of the term structure. This paper extends Shiller's variance inequality to allow for the possible presence of time-varying term premiums. The paper then explores the question of whether term premiums, or perhaps transactions costs, are likely to reverse prior findings of excess volatility.     

Interdependence and dynamics in currency futures markets: A multivariate analysis of intraday data

This paper investigates long-term interdependencies and short-term dynamics in currency futures utilizing intraday data for six major foreign currencies: the British Pound, Deutsche Mark, Swiss Franc, Australian Dollar, Canadian Dollar, and Japanese Yen. Lack of cointegration (CI) among the foreign exchange futures is found to be the prevailing mode of behavior, but some temporary deviations from the no-CI condition are detected. There is a notable overlap between detected CI relationships and the timing of policy changes, world events, and regime shifts, indicating that the observed CIs are event-driven. The robustness of the CI results is checked with respect to variations in the model, lag structure, data period, sample horizon, and currency basket grouping. Impulse–response functions (IRFs) reveal that currency markets are in general efficient and absorb new information within the day. The interdependence among currencies is found to be asymmetric.     

The monetary model in the presence of I(2) components: long-run relationships, short-run dynamics and forecasting of the Greek drachma

This paper re-examines the long-run properties of the monetary exchange rate model using data for the drachma–dollar and drachma–mark exchange rates under the hypothesis that the system contains variables that are I(2). Using the recent I(2) test by Paruolo (On the determination of integration indices in I(2) systems. J. Economet. 72 (1996) 313–356) to examine the presence of I(2) and I(1) components in a multivariate context we find that the system contains two I(2) variables in both cases and this finding is reconfirmed by the estimated roots of the companion matrix (Do purchasing power parity and uncovered interest rate parity hold in the long-run? An example of likelihood inference in a multivariate time-series model. Juselius, J. Economet. 69 (1995) 211–240). The I(2) component led to the transformation of the estimated model by imposing long-run but not short-run proportionality between domestic and foreign money. Two statistically significant cointegrating vectors were found and, by imposing linear restrictions on each vector as suggested by Johansen and Juselius (Identification of the long-run and the short-run structure: an applicaion to the ISLM model. J. Economet. 63 (1994) 7–36) and Johansen (Identifying restrictions of linear equations with applications to simultaneous equations and cointegration. J. Economet. 69 (1995b) 111–132), the order and rank conditions for identification are satisfied, but the test for overidentifying restrictions was not significant only for the case of the drachma/mark rate. The main findings suggest that we reject the forward-looking version of the monetary model for the drachma/dollar case but not when the drachma/mark rate is used, a result that is attributed to the monetary and exchange rate policy followed by the Greek authorities since Greece's joining of the European Union. Furthermore, we test for parameter stability using the tests developed by Hansen and Johansen (Recursive estimation in cointegrated VAR-models. Working paper (1993) University of Copenhagen) and it is shown that the dimension of the cointegration rank is sample independent while the estimated coefficients do not exhibit instabilities in recursive estimations. Finally, it is shown that the monetary model outperforms the random walk model in an out-of-sample forecasting contest.     

The politics of anticipation: On knowing and governing environmental futures

In this article we describe how the historical emergence and rise of future studies, since the founding issue of Futures in 1968, has been intricately connected to the emergence and development of environmental anticipation as discourse and practice. We trace a dialectical and inter-twined relationship between technologies of environmental anticipation and forecasting, and technologies of anti-environmentalist anticipation and counter-intervention, one which we argue shapes not only the contemporary politics of anticipation, but in a very material sense, the future conditions of biological and social life on Earth. In so doing we want to address the possible contributions that the field of futures studies can make to reimagining collective agency and ways of being on Earth, whilst reflecting critically upon its genealogical relations to the political reason and strategic horizons of powerful fossil fuel interests, from the crisis of the 1970s to the present. The article also offers a more in-depth contextualization to the other articles in this special issue of Futures on “The Politics of Environmental Anticipation”. The aim is to bring to the fore the role that social scientists play in environmental anticipation − i.e. drawing attention to the fact that the future could always have been otherwise.     

Detecting and modelling the jump risk of CO2 emission allowances and their impact on the valuation of option on futures contracts

Modelling CO₂ emission allowance prices is important for pricing CO₂ emission allowance linked assets in the emissions trading scheme (ETS). Some statistical properties of CO₂ emission allowance prices have been discovered in the literature ignoring price jumps. By employing real data from the ETS, this research first detects the jump risk using a jump test and then verifies jump effects in modelling CO₂ emission allowance prices by comparing the in-sample and out-of-sample model performance. We suggest a model which can capture the statistical properties of autocorrelation, volatility clustering and jump effects is more appropriate for modelling CO₂ emission allowance prices. We establish a general framework for pricing CO₂ emission allowance options on futures contracts with these properties and find that the jump risk significantly affects the value of the CO₂ emission allowance option on futures contracts. More importantly, we demonstrate that the dynamic jump ARMA–GARCH model can provide more accurate valuations of the CO₂ emission allowance options on futures than other models in terms of pricing error.     

Volume, volatility, and the dispersion of beliefs

I examine a two-period noisy rational expectations model ofa futures market and show that the dispersion of expectationsabout a weighted average of future prices measures both theadditional volatility and the additional expected volume oftrade associated with noisy information. The role played bydispersion helps clarify several stylized facts concerning volumeand price behavior. Specifically, dispersion can be a factorcontributing to the positive correlation between volume andabsolute price changes, and the positive correlation betweenconsecutive absolute price changes.