Hedging inflation with individual US stocks: A long-run portfolio analysis

This paper examines whether individual stocks can act as inflation hedgers. We focus on longer investment horizons and construct in- and out-of-sample portfolios based on the long-run relationship (cointegration) of stock prices with respect to consumer prices. Empirical evidence suggests that investors are better off by holding a portfolio of stocks with higher long-run betas as part of asset selection and allocation strategy. Stocks that outperform inflation tend to be drawn from the Energy and Industrial sectors. Finally, we observe that the companies average inflation hedging ability declined steadily over the past ten years, while the number of firms that hedge inflation has decreased considerably after the recent downturn of the US economy.     

Willow tree algorithms for pricing Guaranteed Minimum Withdrawal Benefits under jump-diffusion and CEV models

This paper presents the willow tree algorithms for pricing variable annuities with Guaranteed Minimum Withdrawal Benefits (GMWB), where the underlying fund dynamics evolve under the Merton jump-diffusion process or constant-elasticity-of-variance (CEV) process. The GMWB rider gives the policyholder the right to make periodic withdrawals from his policy account throughout the life of the contract. The dynamic nature of the withdrawal policy allows the policyholder to decide how much to withdraw on each withdrawal date, or even to surrender the contract. For numerical valuation of the GMWB rider, we use willow tree algorithms that adopt more effective placement of the lattice nodes based on better fitting of the underlying fund price distribution. When compared with other numerical algorithms, like the finite difference method and fast Fourier transform method, the willow tree algorithms compute GMWB prices with significantly less computational time to achieve a similar level of numerical accuracy. The design of our pricing algorithm also includes an efficient search method for the optimal dynamic withdrawal policies. We perform sensitivity analysis of various model parameters on the prices and fair participating fees of the GMWB riders. We also examine the effectiveness of delta hedging when the fund dynamics exhibit various jump levels.     

Are there common factors in individual commodity futures returns?

We explore whether there are common factors in the cross-section of individual commodity futures returns. We test various asset pricing models which have been employed for the equities market as well as models motivated by commodity pricing theories. The use of these families of models allows us also to test whether the commodities and equities market are integrated. In addition, we employ principal components factor models which do not require à priori specification of factors. We find that none of the models is successful. Our results imply that commodity markets are segmented from the equities market and they are considerably heterogeneous per se.     

一个考虑基差收敛性的最适保值比率模型——上期所铜期货卖空保值实证分析

本文针对商品期货市场在基差持续朝一个方向变动的情况下卖空保值风险大、成本高的重大现实问题，基于商品期货的持有成本理论，推导出具有普遍实用价值的考虑基差收敛性的动态最适保值比率模型。然后，综合应用时间序列分析和截面分析方法，在现货价格与到期期间恒定的利率调整基差间构建BV-GARCH模型，并利用BEKK形式的BV-GARCH模型，以上海期货交易所铜期货为实证对象，检验和比较了考虑与未考虑基差收敛性的最适保值比率模型的保值绩效，得出了有意义的具体结论。     

Strategic use of futures and options by commodity processors

The impacts of input–output price relationships on end-users' demands for positions in futures and options are analyzed using a mean-variance portfolio model and applied to price risk management in the bread manufacturing industry. A production relationship was assumed between the input and resultant output, and correlation between the input and output prices were introduced into the portfolio model. The optimal hedge ratio can be either positive or negative depending upon the relationship between the input and output price standard deviation adjusted for production technology and input–output price correlation. Introduction of a call option into the portfolio (in addition to the futures) does not change the hedging demand for futures; however, the speculative component changes. The results show that the addition of input–output linear production and price correlation relationships would not justify a hedging role for options unless there is bias in the futures and/or options markets.     

Can modeling the natural gas futures market as a threshold cointegrated system improve hedging and forecasting performance?

The calculation of the hedge ratio, and therefore the effectiveness of the hedge, is dependent upon the correct specification of the relationship between the futures and spot price. Likewise, a forecast of the future spot or futures price is dependent upon the model specification. This article investigates the appropriateness of using a threshold cointegrated model of the natural gas markets as the basis for hedging and forecasting. The findings suggest that the threshold model is more appropriate for longer contract length and that the threshold model does not offer much improvement in hedging or forecasting efficiency.     

Operational hedging against adverse circumstances

This paper investigates operational hedging against severe disruptions to normal operations. It offers a new method to evaluate the extent that operations policy serves as a hedge against adverse circumstances. We apply the proposed method to explore how supply chain characteristics affect the responses of airlines to the acute demand fall off after the September 11 terrorist attacks. Results indicate that operational hedging vehicles (fleet standardization, high-fleet utilization, an aircraft ownership policy rather than leasing, and international operations) are more powerful in protecting firms than using financial instruments. The study contributes in guiding managers as to how operations policy can serve as an imperative factor in mitigating exposures to low-end performance levels.     

Diversification and optimal hedges for socially responsible investment in Brazil

This study contributes to the literature on socially responsible investing by examining the diversification potential of commodities, specifically oil, gold and clean energy together with the Brazilian Corporate Sustainability Index (ISE). Multivariate GARCH models are used to model volatility spillovers and conditional correlation in pairs of stocks containing ISE. Specifically, A-BEKK and A-DCC models with spillovers are estimated. The models’ results are used to compute and analyze the optimal weights and hedge ratios for stock portfolio holdings. The greatest benefit from diversification is obtained through the acquisition of gold and then OVX.     

Modelling exchange-traded barrier options traded in the Australian options market

Barrier options traded in the Australian market vary considerably in terms of the extent to which the barrier is monitored and in terms of the location of the barrier level relative to the exercise price. This paper examines the impact of these differences on prices and also on deltas and gammas. We find that it is not possible to generalize results concerning hedge parameter values to all barrier options. We find that options examined by Easton et al. (2004) do not display discontinuity of deltas at the barrier levels and that their apparent overpricing cannot be attributed to hedging difficulties.     

Pricing and hedging European options with discrete-time coherent risk

The aim of the paper is to provide as explicit as possible expressions for upper/lower prices and for superhedging/subhedging strategies based on discrete-time coherent risk measures. This is done on three levels of generality. For a general infinite-dimensional model, we prove the fundamental theorem of asset pricing. For a general multidimensional model, we provide expressions for prices and hedges. For a wide class of models, in particular, including GARCH, we give more concrete formulas, a sufficient condition for the uniqueness of a hedging strategy, and a numerical algorithm.