Optimal hedging with higher moments

This study proposes a utility-based framework for the determination of optimal hedge ratios (OHRs) that can allow for the impact of higher moments on hedging decisions. We examine the entire hyperbolic absolute risk aversion family of utilities which include quadratic, logarithmic, power, and exponential utility functions. We find that for both moderate and large spot (commodity) exposures, the performance of out-of-sample hedges constructed allowing for nonzero higher moments is better than the performance of the simpler OLS hedge ratio. The picture is, however, not uniform throughout our seven spot commodities as there is one instance (cotton) for which the modeling of higher moments decreases welfare out-of-sample relative to the simpler OLS. We support our empirical findings by a theoretical analysis of optimal hedging decisions and we uncover a novel link between OHRs and the minimax hedge ratio, that is the ratio which minimizes the largest loss of the hedged position. © 2011 Wiley Periodicals, Inc. Jrl Fut Mark

Hedging effectiveness of total returns swaps: application to the Japanese market

The development of the real estate swap market offers many opportunities for investors to adjust the exposure of their portfolios to real estate. A number of OTC transactions have been observed in markets around the world. In this paper we examine the Japanese commercial real estate market from the point of view of an investor holding a portfolio of properties seeking to reduce the portfolio exposure to the real estate market by swapping an index of real estate for LIBOR. This paper explores the practicalities of hedging portfolios comprising small numbers of individual properties against an appropriate index. We use the returns from 74 properties owned by Japanese Real Estate Investment Trusts over the period up to September 2007. The paper also discusses and applies the appropriate stochastic processes required to model real estate returns in this application and presents alternative ways of reporting hedging effectiveness. We find that the development of the derivative does provide the capacity for hedging market risk but that the effectiveness of the hedge varies considerably over time. We explore the factors that cause this variability.

Pricing and hedging short sterling options using artificial neural networks

This paper compares the performance of artificial neural networks (ANNs) with that of the modified Black model in both pricing and hedging Short Sterling options. Using high frequency data, standard and hybrid ANNs are trained to generate option prices. The hybrid ANN is significantly superior to both the modified Black model and the standard ANN in pricing call and put options. Hedge ratios for hedging Short Sterling options positions using Short Sterling futures are produced using the standard and hybrid ANN pricing models, the modified Black model, and also standard and hybrid ANNs trained directly on the hedge ratios. The performance of hedge ratios from ANNs directly trained on actual hedge ratios is significantly superior to those based on a pricing model, and to the modified Black model.

The (de)merits of minimum-variance hedging: application to the crack spread

We study the empirical performance of the classical minimum-variance hedging strategy, comparing several econometric models for estimating hedge ratios of crude oil, gasoline and heating oil crack spreads. Given the great variability and large jumps in both spot and futures prices, considerable care is required when processing the relevant data and accounting for the costs of maintaining and re-balancing the hedge position. We find that the variance reduction produced by all models is statistically and economically indistinguishable from the one-for-one “naïve” hedge. However, minimum-variance hedging models, especially those based on GARCH, generate much greater margin and transaction costs than the naïve hedge. Therefore we encourage hedgers to use a naïve hedging strategy on the crack spread bundles now offered by the exchange; this strategy is the cheapest and easiest to implement. Our conclusion contradicts the majority of the existing literature, which favours the implementation of GARCH-based hedging strategies.

The cross-currency hedging performance of implied versus statistical forecasting models

This article examines the ability of several models to generate optimal hedge ratios. Statistical models employed include univariate and multivariate generalized autoregressive conditionally heteroscedastic (GARCH) models, and exponentially weighted and simple moving averages. The variances of the hedged portfolios derived using these hedge ratios are compared with those based on market expectations implied by the prices of traded options. One-month and three-month hedging horizons are considered for four currency pairs. Overall, it has been found that an exponentially weighted moving-average model leads to lower portfolio variances than any of the GARCH-based, implied or time-invariant approaches.

Foreign debt and financial hedging : evidence from Australia

We investigate the role of foreign currency denominated debt (FCDD) as a natural hedging instrument using a sample of Australian firms. Our results show that the incidence of foreign debt use among industrial sector firms is associated with a lower level of exchange rate exposure. The practice of issuing foreign debt within the industrial sector also conforms better to the hypothesis that firms do so to satisfy a demand for hedging. In contrast, although the incidence of foreign debt issues is higher in the resource/mining sector, the underlying motive for such arises from a demand for financing.

Investigating the determinants of the decision to engage in a corporate hedging strategy

This paper investigates the decision to engage in a comprehensive corporate hedging strategy for Australian listed companies. Specifically the pursuit of a comprehensive hedging strategy is gauged by jointly investigating the corporate use of foreign currency derivatives; interest rate derivatives; commodity derivatives and foreign debt. The results show that firm size, leverage, dividend yield and block holdings are incentive factors to the comprehensive hedging decision, while executive shares is a disincentive factor. Consistent with hedging theory, the significance of the leverage variables supports the financial distress cost hypothesis. Support is also found for the dividend decision is a substitute for corporate hedging.

An evolutionary computing approach to minimize dynamic hedging error

The objective of our present paper is to derive a computationally efficient genetic pattern learning algorithm to evolutionarily derive the optimal rebalancing weights (i.e. dynamic hedge ratios) to engineer a structured financial product out of a multiasset, best-of option. The stochastic target function is formulated as an expected squared cost of hedging (tracking) error which is assumed to be partly dependent on the governing Markovian process underlying the individual asset returns and partly on
randomness i.e. pure white noise. A simple haploid genetic algorithm is advanced as an alternative numerical scheme, which is deemed to be
computationally more efficient than numerically deriving an explicit solution to the formulated optimization model. An extension to our proposed scheme is suggested by means of adapting the Genetic Algorithm parameters based on fuzzy logic controllers.

Economic linkages across commodity futures : hedging and trading implications

We investigate cross-market trading dynamics in futures contracts written on seemingly unrelated commodities that are consumed by a common industry. On the Tokyo Commodity Exchange, we find such evidence in natural rubber (NR), palladium (PA) and gasoline (GA) futures markets. The automobile industry is responsible for more than 50% of global demand for each of these commodities. VAR estimation reveals short-run cross-market interaction between NR and GA, and from NR to PA. Cross-market influence exerted by PA is felt in longer dynamics, with PA volatility (volume) affecting NR (GA) volume (volatility). Our findings are robust to lag-specification, volatility measure, and consistent with full BEKK-GARCH estimation results. Further analysis, which benchmarks against silver futures market, TOCOM index and TOPIX transportation index, confirms that our results are driven by a common industry exposure, and not a commodity market factor. A simple trading rule that incorporates short-run GA and long-run PA dynamics to predict NR return yields positive economic profit. Our study offers new insights into how commodity and equity markets relate at an industry level, and implications for multi-commodity hedging.

Are firms hedging or speculating? The relationship between financial derivatives and firm risk

The focus of this article is an investigation of the relationship between the use of financial derivatives and firm risk using a sample of Australian firms. Our results suggest that this relationship is nonlinear in nature. Specifically, the use of financial derivatives is associated with a risk reduction for moderate derivative users. Derivative usage among extensive derivative users, on the other hand, appears to lead to an increase in firm risk. Nevertheless, compared to firms that do not make use of derivatives, there is no evidence that extensive derivative users are exposed to a risk level in excess of that of nonderivative users. The results are, therefore, indicative of a hedging motive behind the use of financial derivatives.

Thai hedging practices : post Asian financial crisis

This paper provides survey evidence captured from a sample of 113 respondents to a 2008 questionnaire that was sent to 344 listed non-financial companies in Thailand. The study examines how Thai companies manage their exchange rate exposure post Asian Financial Crisis.

Thailand is an interesting case study because it was a country at the core of the 1997 financial meltdown and was one of the first forced by the crisis to move from a fixed to a floating exchange rate regime. It is therefore constructive to examine how businesses in Thailand have coped with a shift from a fixed to floating exchange rate and to examine how they manage their exchange rate exposure post 1997.

Findings indicate that companies that use currency derivatives do so to reduce volatile cash flows are less risky and tend to be more profitable than companies that do not use currency derivatives. This is consistent with the theory that hedging increases the value of the firm.

The type of instruments that companies in Thailand use and how they are used is similar to what other studies find in other countries. Matching and the use of forward contracts are the most common ways that companies manage transaction exposure. The study also confirms that companies with higher levels of international business engagement are more likely to use currency derivatives.

What is unique in Thailand is that Thai businesses are less rigorous in their internal control of their currency hedging activities. It is therefore recommended that companies consider a documented hedging policy and that senior management actively monitor the policy and currency hedging activity.

Post Asian financial crisis : a survey of Thai hedging practices

This thesis examines how companies in Thailand coped with exchange rate volatility post Asian Financial Crisis. Findings indicate businesses quickly adjusted to the transition from a fixed to floating regime. However, Thai businesses appear to be less rigorous in their internal control of currency hedging activities. The thesis recommends strategies to overcome this risk.

Dynamic currency hedging for international stock portfolios

The paper studies dynamic currency risk hedging of international stock portfolios using a currency overlay. A dynamic conditional correlation (DCC) multivariate GARCH model is employed to estimate time-varying covariance among stock market returns and currency returns. The conditional covariance is then used in the estimation of risk-minimizing conditional hedge ratios. The study considers seven developed economies over the period January 2002 to April 2010 and estimates daily conditional hedge ratios for portfolios of various stock market combinations. Conditional hedging is shown to dominate traditional static hedging and unconditional hedging in terms of risk reduction both in-sample and out-of-sample, especially during the recent global financial crisis. Conditional hedging also proves to consistently reduce portfolio risk for various levels of foreign investments.

Thai hedging practices post-Asian financial crisis

This paper provides survey evidence captured from a sample of 113 respondents to a 2008 questionnaire sent to 344 companies in Thailand. The study examines Thai hedging practices following the Asian Financial Crisis of 1997. Thai companies, like their international counterparts, rely predominantly on matching and forward contracts to hedge transaction exposure. Thai companies, however, appear to be less rigorous when it comes to internal control and supervision of derivative activity. It is recommended that Thai companies improve their risk management practices by putting into place a documented hedging policy, which includes a requirement that senior staff be actively engaged in the risk management activities of the firm.