Tax‐loss carryforward and futures hedging

Our research is motivated by the Corn Products vs Arkansas Best Supreme court decisions that brought on the controversy of the tax treatment of gains and losses from futures hedging. The usefulness of a futures contract as risk management tool depends on the tax code. In this paper we address implications of capital treatment of futures positions (disallowing offset for tax purposes) when tax‐loss carryover is allowed. Our analysis utilizes a two‐period model to capture the inter‐temporal effects. We investigate the optimal hedge ratios under these scenarios analytically where possible, and numerically where necessary. Copyright © 2002 John Wiley & Sons, Ltd.     

Tax asymmetry and futures hedging under liquidity constraints

This paper examines the optimal futures hedging decision of a firm facing uncertain income that is subject to asymmetric taxation with no loss‐offset provisions. All futures contracts are marked to market and require interim cash settlement of gains and losses. The firm is liquidity constrained in that it is forced to prematurely close its futures position on which the interim loss incurred exceeds a threshold level. The liquidity risk created by the interim funding requirement of a futures hedge is shown to proffer the firm perverse incentives, thereby making an under‐hedge optimal. This under‐hedging result holds irrespective of whether the firm is risk neutral or risk averse. Copyright © 2005 John Wiley & Sons, Ltd.     

Crack spread hedging: accounting for time‐varying volatility spillovers in the energy futures markets

Crude oil, heating oil, and unleaded gasoline futures contracts are simultaneously analysed for their effectiveness in reducing price volatility for an energy trader. A conceptual model is developed for a trader hedging the ‘crack spread’. Various hedge ratio estimation techniques are compared to a Multivariate GARCH model that directly incorporates the time to maturity effect often found in futures markets. Modelling of the time‐variation in hedge ratios via the Multivariate GARCH methodology, and thus taking into account volatility spillovers between markets is shown to result in significant reductions in uncertainty even while accounting for trading costs. Copyright © 2002 John Wiley & Sons, Ltd.     

Corporate hedging and input price risk

Input price variability is an important source of risk for corporations that process raw commodities. Models of optimal input hedging are developed in this paper based on the maximization of managerial expected utility. The relationship between hedging strategies and output decisions is examined to assess the impact of the ability to set output prices on futures market participation. As a firm's ability to set output prices diminishes in the short run, input futures positions increase although the optimal hedge ratio may either increase or decrease. For a perfectly competitive firm, however, shifts in output price caused by input price changes provide a natural cash market hedge of input price risk and reduce the firm's optimal input futures position.     

International tenders and futures hedging

This paper examines the optimal bidding and hedging decisions of a risk‐averse firm that takes part in an international tender. The firm faces multiple sources of uncertainty: exchange rate risk, risk of an unsuccessful tender, and business risk. The firm is allowed to trade unbiased currency futures contracts to imperfectly hedge its contingent foreign exchange risk exposure. We show that the firm shorts less (more) of the unbiased futures contracts when its marginal utility function is convex (concave) as compared with the case that the marginal utility function is linear. We further show that the curvature of the marginal utility function plays a decisive role in determining the impact of currency futures hedging on the firm's bidding behavior. Sufficient conditions that ensure the firm bids more or less aggressively than in the case without hedging opportunities are derived. Copyright © 2006 John Wiley & Sons, Ltd.     

Firm‐Driven Management of Longevity Risk: Analysis of Lump‐Sum Forward Payments in Japanese Nursing Homes

This study analyzes a unique economic circumstance of longevity risk management in the Japanese private nursing home market. This circumstance takes the form of a lump‐sum forward payment of lifetime rent by residents, which leaves most longevity risk to be covered by homes. To analyze this circumstance, I construct a structural econometric model of industrial organization for this market. For the underlying structure of longevity risk, I assume that both individual consumers and nursing homes utilize the subjective evaluation. My empirical analysis detects excess payments that can be compensated for only by an unrealistically long stay in nursing homes. This finding implies the existence of the exaggerated evaluation of longevity by economic agents. Thus, appropriate government intervention to help hedge longevity risk might improve social welfare.     

INTERFUEL SUBSTITUTION: A META‐ANALYSIS

Abstract This paper provides the first meta‐analysis of the interfuel substitutability literature. The sample includes 47 studies of interfuel substitution in the industrial sector, in manufacturing industry or manufacturing sub‐industries, or in the macro‐economy of a variety of developed and developing countries. Meta‐regressions are estimated for the six shadow elasticities of substitution between coal, oil, gas and electricity. I find that at the level of the industrial sector as a whole the oil–coal, oil–gas, oil–electricity and gas–electricity shadow elasticities of substitution are significantly greater than unity. The remaining elasticities – between coal and gas and coal and electricity – are insignificantly different from unity or zero due to their large standard errors. Substitution possibilities seem more constrained at the macro level and less constrained at lower levels of aggregation. Estimates of the elasticities of substitution from cross‐section regressions are generally largest whereas fixed effects panel estimates are intermediate in magnitude, and time‐series estimates are mostly much smaller. In order to obtain more precise and less biased estimates of long‐run elasticities of substitution, there is a need for additional primary studies using large samples and/or the between estimator which econometric research suggests is likely to provide the best estimates of long‐run elasticities.     

Long‐run relations in European electricity prices

This paper analyses the interdependencies existing in wholesale electricity prices in six major European countries. The results of a robust multivariate long‐run dynamic analysis reveal the presence of four highly integrated central European markets (France, Germany, the Netherlands and Austria). The trend shared by these four electricity markets appears to be common also to gas prices, but not to oil prices. The existence of a common long‐term dynamics among electricity prices and between electricity prices and gas prices can be explained by the similarity of the market design across Europe and by the same marginal generation technology. Since standard unit root and cointegration tests are not robust to the peculiar characteristics of electricity prices time series, we also develop a battery of robust inference procedures that should assure the reliability of our results. Copyright © 2009 John Wiley & Sons, Ltd.     

Wavelet domain correlation between the futures prices of natural gas and oil

This paper studies the relationship between futures prices of natural gas and oil. Using wavelet analysis, our research reveals that, throughout the sampled period: (1) the prices of natural gas futures and oil futures have high covariance at high frequencies but not so much at low frequencies; (2) an increase in financialization of commodities commensurate with investors search for yield results in higher covariance between the futures prices of natural gas and oil; and (3) the volatility of neither time series consistently leads the other even at high frequencies.     

Assessing and valuing the nonlinear structure of hedge fund returns

Several studies have put forward that hedge fund returns exhibit a nonlinear relationship with equity market returns, captured either through constructed portfolios of traded options or piece‐wise linear regressions. This paper provides a statistical methodology to unveil such nonlinear features with respect to returns on benchmark risk portfolios. We estimate a portfolio of options that best approximates the returns of a given hedge fund, account for this search in the statistical testing of the nonlinearity, and provide a reliable test for a positive valuation of the fund. We find that not all fund categories exhibit significant nonlinearities, and that only a few strategies provide significant value to investors. Our methodology helps identify individual funds that provide value in an otherwise poorly performing category. Copyright © 2010 John Wiley & Sons, Ltd.     

Hedging with the Nikkei index futures: The convential model versus the error correction model

This study estimates and compares the hedge ratios of the conventional and the error correction models using Japan's Nikkei Stock Average (NSA) index and the NSA index futures with different time intervals. Comparisons of out-of-sample hedging performance reveal that the error correction model outperforms the conventional model, suggesting that the hedge ratios obtained by using the error correction model do a better job in reducing the risk of the cash position than those from the conventional model. In addition, this paper evaluates the effects of temporal aggregation on hedge ratios. It is found that temporal aggregation has important effects on the hedge ratio estimates.     

Production and hedging in futures markets with multiple delivery specifications

This paper examines the behavior of the competitive firm under price uncertainty. To hedge the price risk, the firm trades unbiased commodity futures contracts with multiple delivery specifications from which delivery risk prevails. We show that the firm optimally produces less in the presence than in the absence of the delivery risk. We show further that the concept of expectation dependence that describes how the delivery risk is correlated with the random spot price plays a pivotal role in determining the firm’s optimal futures position. Specifically, an under-hedge is optimal if the random spot price is positively expectation dependent on the delivery risk. The firm’s optimal futures position becomes indeterminate if the random spot price is negatively expectation dependent on the delivery risk.     

Real‐time forecast combinations for the oil price

Baumeister and Kilian (Journal of Business and Economic Statistics, 2015, 33(3), 338–351) combine forecasts from six empirical models to predict real oil prices. In this paper, we broadly reproduce their main economic findings, employing their preferred measures of the real oil price and other real‐time variables. Mindful of the importance of Brent crude oil as a global price benchmark, we extend consideration to the North Sea‐based measure and update the evaluation sample to 2017:12. We model the oil price futures curve using a factor‐based Nelson–Siegel specification estimated in real time to fill in missing values for oil price futures in the raw data. We find that the combined forecasts for Brent are as effective as for other oil price measures. The extended sample using the oil price measures adopted by Baumeister and Kilian yields similar results to those reported in their paper. Also, the futures‐based model improves forecast accuracy at longer horizons.     

An identification‐robust test for time‐varying parameters in the dynamics of energy prices

We test for the presence of time‐varying parameters (TVP) in the long‐run dynamics of energy prices for oil, natural gas and coal, within a standard class of mean‐reverting models. We also propose residual‐based diagnostic tests and examine out‐of‐sample forecasts. In‐sample LR tests support the TVP model for coal and gas but not for oil, though companion diagnostics suggest that the model is too restrictive to conclusively fit the data. Out‐of‐sample analysis suggests a random‐walk specification for oil price, and TVP models for both real‐time forecasting in the case of gas and long‐run forecasting in the case of coal. Copyright © 2010 John Wiley & Sons, Ltd.     

Hedging Foreign Project Risk

We study the firm's hedging problem when there is uncertainty about whether its bid on a foreign project will be accepted. Most treatments of this problem suggest that foreign currency options are the preferred hedging instrument. However, we show that when the uncertainty pertaining to the realization of the foreign cash flow is unrelated to the exchange rate, which typically will be the case, futures dominate options as hedge vehicles.
Conversely, options hedging will be appropriate when the viability of the foreign project depends also on an exchange-rate contingency, as would be the case when the bidding firm can withdraw its bid if the foreign currency depreciates sufficiently.
In many cases, both futures and options will form part of the best hedge position. The general principle in forming the hedge is that futures will best offset exchange-rate exposure the existence of which is not exchange-rate contingent. Options will best hedge any costs or revenues that might occur in a foreign currency depending on the outcome of an exchange-rate contingency.     

螺纹钢期货市场功能的实证检验

上海螺纹钢期货市场的巨大持仓量、成交量,表明其市场功能很可能得到了充分发挥。文章针对螺纹钢期货市场应有的套期保值、价格发现、套利功能,选择相应期、现数据进行了实证检验。检验结果表明:市场具备良好的套期保值效率,存在较为明显的跨期套利机会,期货价格对现货价格具有较强的引导作用。     

Dynamic spillover and connectedness between oil futures and European bonds

This paper examines the spillovers and connectedness between crude oil futures and European bond markets (EBMs) having different maturities. We also analyze the hedging effectiveness of crude oil futures-bond portfolios in tranquil and turbulent periods. Using the spillovers index of Diebold and Yilmaz (2012, 2014), we show evidence of time-varying spillovers between markets under investigations, which varies between 65% and 83%. Moreover, three-month, six-month, one-year, three-year and thirty-year bonds and crude oil futures are net receivers of risk from other markets, whereas the remaining bonds are net contributors of risk to the other markets. Crude oil futures receive more risk from long-term than short-term bonds. Moreover, the magnitude of risk transmission is low for the pre-crisis and economic recovery periods. Crude oil futures market contributes significantly to the risk of other markets during the oil crisis and Brexit period. A portfolio risk analysis shows that that most investments should be in oil rather than bonds (except the short-term bonds). The hedge ratio is sensitive to market conditions, where the cost of hedging increases during GFC and ESDC period. Finally, a crude oil futures-bond portfolio offers the best hedging effectiveness during the COVID-19 pandemic period.     

DEMAND,CUSTOMER BASE‐LINE AND DEMAND RESPONSE IN THE ELECTRICITY MARKET: A SURVEY

The increasing use of demand‐side management, as a tool to reliably meet electricity demands at peak time, has stimulated interest among researchers, consumers and producer organiza‐tions, managers, regulators and policymakers. This research reviews the growing literature on models which are used to study demand, customer base‐line (CBL) and demand response in the electricity market. After characterizing the general demand models, the CBL, based on which the demand response models are studied, is reviewed. Given the experience gained from the review and existing conditions, the study combines an appropriate model for each case for a possible application to the electricity market; moreover, it discusses the implications of the results. In the literature, these aspects are studied independently. The main contribution of this survey is attributed to the treatment of the three issues as sequentially interdependent. The review is expected to enhance the understanding of the demand, CBL and demand response in the electricity market and their relationships. The objective is conducted through a combination of demand and supply side managements in order to reduce demand through different demand response programs during peak times. This enables electricity suppliers to save costly electricity generation and at the same time reduce energy vulnerability.     

Corporate income tax and futures hedging

Our research is motivated by the Corn Products vs. Arkansas Best Supreme Court decisions that pitched the controversy of the tax treatment of gains and losses from futures hedging. The use of futures contracts as risk management tools depends on the tax code. In this paper we address complications in the current tax code that allow for asymmetric offset: Ordinary losses can be applied against capital gains; however, capital losses cannot by applied against ordinary gains. Also we consider the issue of tax loss carryover. We investigate the optimal hedge ratios under these scenarios analytically where possible, and numerically where necessary. Michael Metz is an independent commodity market consultant.     

Some Recent Developments in Futures Hedging

The use of futures contracts as a hedging instrument has been the focus of much research. At the theoretical level, an optimal hedge strategy is traditionally based on the expected–utility maximization paradigm. A simplification of this paradigm leads to the minimum–variance criterion. Although this paradigm is quite well accepted, alternative approaches have been sought. At the empirical level, research on futures hedging has benefited from the recent developments in the econometrics literature. Much research has been done on improving the estimation of the optimal hedge ratio. As more is known about the statistical properties of financial time series, more sophisticated estimation methods are proposed. In this survey we review some recent developments in futures hedging. We delineate the theoretical underpinning of various methods and discuss the econometric implementation of the methods.