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.

Do long-short speculators destabilize commodity futures markets?

This paper contributes to the debate on the effects of the financialization of commodity futures markets by studying the conditional volatility of long–short commodity portfolios and their conditional correlations with traditional assets (stocks and bonds). Using several groups of trading strategies that hedge fund managers are known to implement, we show that long–short speculators do not cause changes in the volatilities of the portfolios they hold or changes in the conditional correlations between these portfolios and traditional assets. Thus calls for increased regulation of commodity money managers are, at this stage, premature. Additionally, long–short speculators can take comfort in knowing that their trades do not alter the risk and diversification properties of their portfolios.

Can the use of foreign currency derivatives explain variations in foreign exchange exposure? Evidence from Australian companies

We investigate the role of foreign currency derivatives (FCD) in alleviating foreign exchange rate exposure of Australian firms. While there is some evidence that the use of FCD reduces the level of ex-post short-term exposure, such an effect is absent with regard to the degree of foreign operations. Our results support the view that FCDs are used to hedge existing exchange rate exposures and that Australian firms, generally, are extensively exposed to currency fluctuations in the long run. While monthly exposure appears to be a function of a firm's size and financial hedging, exchange rate exposure of shorter horizons (1 and 3 months) appears to be negatively related to a firm's price earnings ratio (proxying growth opportunities)—thereby supporting the ‘underinvestment’ hypothesis. Further, the exposure of longer horizons (12 and 24 months) is positively related to a firm's liquidity, supporting the view that liquidity is a substitute for hedging.

Exchange rate exposure, foreign currency derivatives and the introduction of the euro: French evidence

We investigate the impact of the introduction of the Euro on exchange rate exposures for French corporations and examine the corporate use of foreign currency derivatives to hedge exchange rate exposure post-Euro. Our findings indicate that the introduction of the Euro is associated with both a reduction in the number of firms that have significant exchange rate exposure and the absolute size of exposure. Consistent with these reduced exposures, French firms use foreign currency derivatives less intensively. Furthermore, the use of foreign currency derivatives is found to be associated with lower exchange rate exposure but there is insufficient evidence that these instruments are more effective in the post-Euro environment.

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.

Estimating impacts of consumer prices on house prices

Real estate is widely considered as a reliable hedge of inflation rate and there have been many literatures examining the inflation-hedging characteristics of the real estate.  The study described in the paper focuses on testing the significances of impacts of consumer price on house price in eight Australia's capital cities.  The Autoregressive Distributed Lag model is introduced to obtain  the estimates of the coefficient.  The significances of the impacts are defined as the accept probability of t statistics of the coefficients.  Analyses and comparisons of these significances suggested that the impacts of consumer prices on house prices depend on the inherent characteristics of cities. 

Solving the halloween indictor puzzle : market efficiency still reigns

Prior research by Bouman and Jacobsen (2002) document unusually high monthly returns over the period November-April for both United States (U.S.) and foreign stock markets and label this phenomenon the Halloween effect. The implication is that the Halloween effect represents an exploitable anomaly, which has negative implications for stock market efficiency. We extend this research to the S&P 500 futures contract and find no evidence of an exploitable Halloween effect over the period April 1982 through April 2003. Re-examining Bouman and Jacobsen’s empirical results for the U.S., we find that two outliers drive their results. These two outliers are associated with the “Crash” in October 1987 and collapse of the hedge fund Long-Term Capital Management in August 1998. After inserting a dummy variable to account for the impact of the two identified outliers, the Halloween effect disappears.

Stock market efficiency withstands another challenge : solving the “sell in May/buy after Halloween” puzzle

Examining the years 1970 to 1998, Bouman and Jacobsen (2002) document unusually high monthly returns during the November-April periods for both United States (U.S.) and foreign stock markets and label this phenomenon the Halloween effect. Their research suggests that the Halloween effect represents an exploitable anomaly and has negative implications for claims of stock market efficiency.

Re-examining Bouman and Jacobsen’s empirical results for the U.S. reveals that their results are driven by two outliers, the “Crash” of October 1987 and the collapse of the hedge fund Long-Term Capital Management in August 1998. After inserting a dummy variable to account for the impact of the two identified outliers, the Halloween effect becomes statistically insignificant. This anomaly is not economically exploitable for U.S. equity markets. We extend the research to the S&P 500 futures contract and find no evidence of an exploitable Halloween effect over the period April 1982-April 2003.

Traditional knowledge, traditional cultural expressions and intellectual property law in the Asia-Pacific region

Contents

* The international debate about traditional knowledge and approaches in the Asia-Pacific region / Christoph Antons
* How are the different views of traditional knowledge linked by international law and global governance? / Christopher Arup
* Protection of traditional knowledge by geographical indications / Michael Blakeney
* An analysis of WIPO's latest proposal and the Model Law 2002 of the Pacific Community for the Protection of Traditional Cultural Expressions / Silke von Lewinski
* The role of customary law and practice in the protection of traditional knowledge related to biological diversity / Brendan Tobin
* Can modern law safeguard archaic cultural expressions? : observations from a legal sociology perspective / Christoph Beat Graber
* Branding identity and copyrighting culture : orientations towards the customary in traditional knowledge discourse / Martin Chanock
* Being indigenous' in Indonesia and the Philippines / Gerard A. Persoon
* Indigenous heritage and the digital commons / Eric Kansa
* Traditional cultural expression and the internet world / Brian Fitzgerald and Susan Hedge
* Cultural property and "the public domain" : case studies from New Zealand and Australia / Susy Frankel and Megan Richardson
* The recognition of traditional knowledge under Australian biodiscovery regimes : why bother with intellectual property rights? / Natalie Stoianoff
* Protection of traditional knowledge in the SAARC region and India's efforts / S.K. Verma
* The protection of expressions of folklore in Sri Lanka / Indunil Abeyesekere
* Traditional medicine and intellectual property rights : a case study of the Indonesian jamu industry / Christoph Antons and Rosy Antons-Sutanto.

Low-frequency volatility of yen interest rate swap market in relation to macroeconomic risk

Using ‘low-frequency’ volatility extracted from aggregate volatility shocks in interest rate swap (hereafter, IRS) market, this paper investigates whether Japanese yen IRS volatility can be explained by macroeconomic risks. The analysis suggests that this low-frequency yen IRS volatility has strong and positive association with most of the macroeconomic risk proxies (e.g., volatility of consumer price index, industrial production volatility, foreign exchange volatility, slope of the term structure and money supply) with the exception of the unemployment rate, which is negatively related to IRS volatility. This finding is fairly consistent with the argument that the greater the macroeconomic risk the greater is the use of derivative instruments to hedge or speculate. The relationship between the macroeconomic risks and IRS volatility varies slightly across the different swap maturities but is robust to alternative volatility specifications. This linkage between swap market and macroeconomy has practical implications since market makers and hedgers use the swap rate as benchmark for pricing long-term interest rates, corporate bonds and various other securities.

An examination of Australian gold mining firms' exposure over the collapse of gold price in the late 1990s

Purpose – The purpose of this study is to examine the exposures of Australian gold mining firms in the highly volatile period from 1995 to 2000. This period has been characterized by significant changes in gold price due to bulk sale of gold by collective central banks. Specifically, the paper aims to investigate several firm-specific factors that are hypothesized to carry substantial influence on gold beta.

Design/methodology/approach – To estimate gold beta, we use the following multifactor model: R_g,_t = a+ß_gGPR_t + ß_xFXR_t + ß_mR_m,_t + _Et , where R_g,_t is the return on the gold stock Index at time t, GPR_t is the gold price return denominated in US dollar at time t, FXR_t is the foreign exchange return of Australian dollar in terms of US dollar at time t, R_m,t is the market return at time t, and _Et is the random error term at time t.

Findings – The paper finds that the values of gold beta are consistently greater than one, implying the sensitive nature of firms’ stock returns to gold price changes. This also suggests that investors holding gold mining stock would receive higher percentage increases in stock returns from a percentage increase in gold price returns, as opposed to investors holding gold bullion. Furthermore, these values have changed substantially over time with significant changes in gold price volatility. The most important and consistent relationship that we find is the impact of firms’ hedging behavior on their respective gold betas. This is consistent with Tufano’s study. It implies that firms, which hedge a greater proportion of their gold reserves, are less sensitive to movements in gold prices. The finding therefore supports the risk management theory that hedging increases shareholder’s wealth. However, cash operating costs, cash reserves and the level of gold production seem to influence very little on the firms’ exposure to gold price changes.

Originality/value – This study is of interest and important to the stock mining companies and investors because the extent of the effect of gold price movements on the stock returns of gold mining companies has significant impacts on returns for both firms and investors especially in their risk management and investment decisions, respectively.

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.