Hedging long‐term commodity risk

This study focuses on the problem of hedging longer‐term commodity positions, which often arises when the maturity of actively traded futures contracts on this commodity is limited to a few months. In this case, using a rollover strategy results in a high residual risk, which is related to the uncertain futures basis. We use a one‐factor term structure model of futures convenience yields in order to construct a hedging strategy that minimizes both spot‐price risk and rollover risk by using futures of two different maturities. The model is tested using three commodity futures: crude oil, orange juice, and lumber. In the out‐of‐sample test, the residual variance of the 24‐month combined spot‐futures positions is reduced by, respectively, 77%, 47%, and 84% compared to the variance of a naïve hedging portfolio. Even after accounting for the higher trading volume necessary to maintain a two‐contract hedge portfolio, this risk reduction outweighs the extra trading costs for the investor with an average risk aversion. © 2003 Wiley Periodicals, Inc. Jrl Fut Mark 23:109–133, 2003     

Hedging and value at risk: A semi‐parametric approach

The non‐normality of financial asset returns has important implications for hedging. In particular, in contrast with the unambiguous effect that minimum‐variance hedging has on the standard deviation, it can actually increase the negative skewness and kurtosis of hedge portfolio returns. Thus, the reduction in Value at Risk (VaR) and Conditional Value at Risk (CVaR) that minimum‐variance hedging generates can be significantly lower than the reduction in standard deviation. In this study, we provide a new, semi‐parametric method of estimating minimum‐VaR and minimum‐CVaR hedge ratios based on the Cornish‐Fisher expansion of the quantile of the hedged portfolio return distribution. Using spot and futures returns for the FTSE 100, FTSE 250, and FTSE Small Cap equity indices, the Euro/US Dollar exchange rate, and Brent crude oil, we find that the semiparametric approach is superior to the standard minimum‐variance approach, and to the nonparametric approach of Harris and Shen (2006). In particular, it provides a greater reduction in both negative skewness and excess kurtosis, and consequently generates hedge portfolios that in most cases have lower VaR and CVaR. © 2009 Wiley Periodicals, Inc. Jrl Fut Mark 30:780–794, 2010     

Financial research in Canada: A long‐term assessment of journal publications

We examined the financial research among Canadian academic institutions between 1990–2008. Overall, Canadian institutions contribute 3.79% of all publications in 23 leading finance journals. The five most productive universities are the University of British Columbia, the University of Toronto, Wilfrid Laurier University, McGill University, and the University of Alberta. The research productivity of Canadian universities is comparable to their counterparts in Australia and the UK. However, when examining only the top four finance journals, Canadian universities clearly outperform their counterparts in Australia and the UK. In addition, we find that the sufficiency of research funding, the size of faculty, as well as the assembly of a cohort of research‐active faculty contribute to the research productivity of finance programs in Canada. Copyright © 2010 ASAC. Published by John Wiley & Sons, Ltd.     

Cross‐commodity analysis and applications to risk management

The understanding of joint asset return distributions is an important ingredient for managing risks of portfolios. Although this is a well‐discussed issue in fixed income and equity markets, it is a challenge for energy commodities. In this study we are concerned with describing the joint return distribution of energy‐related commodities futures, namely power, oil, gas, coal, and carbon. The objective of the study is threefold. First, we conduct a careful analysis of empirical returns and show how the class of multivariate generalized hyperbolic distributions performs in this context. Second, we present how risk measures can be computed for commodity portfolios based on generalized hyperbolic assumptions. And finally, we discuss the implications of our findings for risk management analyzing the exposure of power plants, which represent typical energy portfolios. Our main findings are that risk estimates based on a normal distribution in the context of energy commodities can be statistically improved using generalized hyperbolic distributions. Those distributions are flexible enough to incorporate many characteristics of commodity returns and yield more accurate risk estimates. Our analysis of the market suggests that carbon allowances can be a helpful tool for controlling the risk exposure of a typical energy portfolio representing a power plant. © 2009 Wiley Periodicals, Inc. Jrl Fut Mark 29:197–217, 2009     

Examination of long‐term bond iShare option selling strategies

This article examines volatility trades in Lehman Brothers 20+ Year US Treasury Index iShare (TLT) options from July 2003 through May 2007. Unconditionally selling front contract strangles and straddles and holding for one month is highly profitable after transactions costs. Short‐term option selling strategies are enhanced when implied volatility is high relative to time series volatility forecasts. Risk management strategies such as stop loss orders detract from profitability, while take profit orders have only modest favorable effects on profitability. Overall, the results demonstrate that TLT option selling strategies offered attractive risk‐return tradeoffs over the sample period. © 2009 Wiley Periodicals, Inc. Jrl Fut Mark 30:465–489, 2010     

Small‐cost asymptotics for long‐term growth rates in incomplete markets

This paper provides a rigorous asymptotic analysis of long‐term growth rates under both proportional and Morton–Pliska transaction costs. We consider a general incomplete financial market with an unspanned Markov factor process that includes the Heston stochastic volatility model and the Kim–Omberg stochastic excess return model as special cases. Using a dynamic programming approach, we determine the leading‐order expansions of long‐term growth rates and explicitly construct strategies that are optimal at the leading order. We further analyze the asymptotic performance of Morton–Pliska strategies in settings with proportional transaction costs. We find that the performance of the optimal Morton–Pliska strategy is the same as that of the optimal one with costs increased by a factor of . Finally, we demonstrate that our strategies are in fact pathwise optimal, in the sense that they maximize the long‐run growth rate path by path.     

Refining momentum strategies by conditioning on prior long‐term returns: Canadian evidence

Cross‐sectional returns in Canada are predictable using both momentum and reversal strategies. Synergies realized by focusing on the entire term structure of prior returns lead to better predictability. An enhanced index strategy based on these synergies is profitable most of the time after controlling for transaction costs, although the degree of profitability changes over time. Simulation shows that recent profitability is mainly attributable to the short‐side of the momentum strategy. Copyright © 2007 ASAC. Published by John Wiley & Sons, Ltd.     

A contango‐constrained model for storable commodity prices

This article presents a model of commodity price dynamics under the risk‐neutral measure where the spot price switches between two distinct stochastic processes depending on whether or not inventory is being held. Specifically, the drift of the spot price is equal to the cost of carry when the stock is positive. Conversely, whenever the drift of the spot price is less than the cost of carry, no inventory is being held. The properties of the spot price and the forward curves implied by this model are illustrated and analyzed with the use of numerical examples. A comparison with the single‐factor model by E. S. Schwartz (1997) is also provided. © 2005 Wiley Periodicals, Inc. Jrl Fut Mark 25:1025–1044, 2005     

Is investor misreaction economically significant? Evidence from short‐ and long‐term S&P 500 index options

Several recent studies present evidence of investor misreaction in the options market. Although the interpretation of their results is still controversial, the important question of economic significance has not been fully addressed. Here this gap is addressed by formulating regression‐based tests to identify misreaction and its duration and constructing trading strategies to exploit the empirical patterns of misreaction. Regular S&P 500 index options and long‐dated S&P 500 LEAPS are used to find an underreaction that on average dissipates over the course of 3 trading days and an increasing misreaction that peaks after four consecutive daily variance shocks of the same sign. Option trading strategies based on these findings produce economically significant abnormal returns in the range of 1–3% per day. However, they are not profitable in the presence of transaction costs. © 2005 Wiley Periodicals, Inc. Jrl Fut Mark 25:717–752, 2005     

The long‐term effects of sales promotions on brand attitude across monetary and non‐monetary promotions

This study compares the influence of sales promotions on brand attitude across promotion types over time. An experiment is conducted with 154 subjects, who are exposed to test materials for 12 weeks. Evidence shows that the long‐term effects of sales promotions on brand attitude vary across deal types. Non‐monetary promotions seem to work better in eliciting consumers' favorable brand attitude than monetary promotions over time. However, such effects are moderated by consumers' deal proneness. Although monetary promotions may induce more negative effects than non‐monetary promotions, these effects are weaker for high deal‐prone consumers than for low deal‐prone consumers. © 2011 Wiley Periodicals, Inc.     

Monetary policy and long‐term interest rates: Evidence from the U.S. economy

This paper addresses the ability of central banks to affect the structure of interest rates. We assess the causal relationship between the short‐term Effective Federal Funds Rate (FF) and long‐term interest rates associated with both public and private bonds and specifically, the 10‐Year Treasury Bond (GB10Y) and the Moody's Aaa Corporate Bond (AAA). To do this, we apply Structural Vector Autoregressive models to U.S. monthly data for the 1954–2018 period. Based on results derived from impulse response functions and forecast error variance decomposition, we find: a bidirectional relationship when GB10Y is considered as the long‐term rate and a unidirectional relationship that moves from short‐ to long‐term interest rates when AAA is considered. These conclusions show that monetary policy is able to permanently affect long‐term interest rates and the central bank has a certain degree of freedom in setting the levels of the short‐term policy rate.     

Multidimensional Variance‐Optimal Hedging in Discrete‐Time Model—A General Approach

One of the well‐known approaches to the problem of option pricing is a minimization of the global risk, considered as the expected quadratic net loss. In the paper, a multidimensional variant of the problem is studied. To obtain the existence of the variance‐optimal hedging strategy in a model without transaction costs, we can apply the result of Monat and Stricker. Another possibility is a generalization of the nondegeneracy condition that appeared in a paper of Schweizer, in which a one‐dimensional problem is solved. The relationship between the two approaches is shown. A more difficult problem is the existence of an optimal solution in the model with transaction costs. A sufficient condition in a multidimensional case is formulated.     

Satisfaction of disabled rural elders and adults with the quality of community‐based long‐term care services

This study estimates the probability of being satisfied with community‐based health care services in a rural area and compares the formation of satisfaction for elders and younger disabled adults. Using data from a state in New England, USA, a multivariate binomial logit model was used to estimate the probability of being satisfied. The formation of satisfaction differs for rural disabled adults and elders. Two out of five need characteristics were found to influence satisfaction with quality of care, and four out of six enabling characteristics were found to influence satisfaction. The impact of these characteristics differs for disabled elders and adults, pointing to the need to differentiate the disabled population when developing systems of home‐based care.     

Dealing with downside risk in a multi‐commodity setting: A case for a “Texas hedge”?

This study analyzes the problem of multi‐commodity hedging from the downside risk perspective. The lower partial moments (LPM₂)‐minimizing hedge ratios for the stylized hedging problem of a typical Texas panhandle feedlot operator are calculated and compared with hedge ratios implied by the conventional minimum‐variance (MV) criterion. A kernel copula is used to model the joint distributions of cash and futures prices for commodities included in the model. The results are consistent with the findings in the single‐commodity case in that the MV approach leads to over‐hedging relative to the LPM₂‐based hedge. An interesting and somewhat unexpected result is that minimization of a downside risk criterion in a multi‐commodity setting may lead to a “Texas hedge” (i.e. speculation) being an optimal strategy for at least one commodity. © 2009 Wiley Periodicals, Inc. Jrl Fut Mark 30:290–304, 2010