Response : A defensible and workable approach to the income tax treatment of financial instruments

It is a privilege to have the opportunity to respond to the comments on my monograph1 provided by Mark Gergen, Glenn May, and Gordon Longhouse. Their comments, which are inevitably coloured by their very different perspectives, reflect the considerable expertise that each one of them has in the area of the income taxation of financial instruments. Indeed, it is with some hesitation that I offer a response in defence of various portions of the analysis presented in my monograph in support of some pretty modest proposals in this extremely difficult area of income tax law. Although I spent considerable time exploring some necessary first principles and their implications for the design of a system for the income taxation of financial instruments, I made several concessions to certain practical constraints that led me to support, in some measure, the status quo reflected in certain of the existing literature, as well as the legislation in a select group of countries. On the assumption that many readers may be unfamiliar with the monograph, I propose to respond by outlining much of my analysis in the monograph and the proposals that are the logical outcome. Throughout the outline, I will highlight and respond to what I see as the important points of difference emphasized by Gergen, May, and Longhouse.

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.

Further evidence on the corporate use of derivatives in Australia : the case of foreign currency and interest rate instruments

In a recent issue of this journal Nguyen and Faff (2002) reported on an empirical exploration of the motives behind the aggregate use of financial derivatives by Australian companies. Employing the same sample of firms, the current paper extends their analysis to investigate similar issues, this time focussing separately on foreign currency and interest rate derivatives. At a specific level, our results reveal the following. A firm is more likely to use foreign currency derivatives if it is large and has more debt in its capital structure. Interest rate derivatives, on the other hand, are more likely to be used if a firm is larger, more levered, more liquid and pays higher dividends. These results are consistent with existing hedging theories. Market to book value (proxying growth opportunities), however, portrays an inconsistent relationship with the likelihood of interest rate derivative usage. When it comes to the extent of usage, a firm uses foreign currency derivatives more extensively if it is smaller, pays higher dividends and has more debt. Similarly, interest rate derivatives are used more extensively to address a high level of debt and a high dividend payout policy. At a general level, the current study confirms the core finding of Nguyen and Faff (2002), namely, that Australian companies use derivatives with a view to value maximisation.

On the determinants of derivative usage by Australian companies

This paper provides an examination of the determinants of derivative use by Australian corporations. We analysed the characteristics of a sample of 469 firm/year observations drawn from the largest Australian publicly listed companies in 1999 and 2000 to address two issues: the decision to use financial derivatives and the extent to which they are used. Logit analysis suggests that a firm's leverage (distress proxy), size (financial distress and setup costs) and liquidity (financial constraints proxy) are important factors associated with the decision to use derivatives. These findings support the financial distress hypothesis while the evidence on the underinvestment hypothesis is mixed. Additionally, setup costs appear to be important, as larger firms are more likely to use derivatives. Tobit results, on the other hand, show that once the decision to use derivatives has been made, a firm uses more derivatives as its leverage increases and as it pays out more dividends (hedging substitute proxy). The overall results indicate that Australian companies use derivatives with a view to enhancing the firms' value rather than to maximizing managerial wealth. In particular, corporations' derivative policies are mostly concerned with reducing the expected cost of financial distress and managing cash flows. Our inability to identify managerial influences behind the derivative decision suggests a competitive Australian managerial labor market.

Time-varying hedge ratios: an application to the Indian stock futures market

This paper investigates time-varying optimal hedge ratios in individual stock futures markets in India. The analysis employs data on individual stock futures from an unexplored but highly traded (both in terms of volume and quantity) emerging market. The hedge ratios derived in this study incorporate mean reversion in volatility, which is an important extension of the bivariate BEKK-GARCH model of Engle and Kroner. This extension generates improved optimal hedge ratios over the traditional BEKK-GARCH model and static error correction type alternatives.

Time varying hedge ratios : an application to the Indian stock futures market

This paper investigates time-varying optimal hedge ratios in individual stock futures markets in India. The analysis employs data on individual stock futures from an unexplored but highly traded (both in terms of volume and quantity) emerging market. The hedge ratios derived in this study incorporate mean reversion in volatility, which is an important extension of the bivariate BEKK-GARCH model of Engle and Kroner. This extension generates improved optimal hedge ratios over the traditional BEKK-GARCH model and static error correction type alternatives.

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. 

Market makers v's the general public : a first look at S & P500 futures trade data

This paper considers 15 minute records of trading volume and traded prices coinciding with the reporting intervals required by the Commodity Futures Trading Commission. Records are extracted from trade records for market trade and also two way trade between market makers (CT1) and the general public (CT4) from January 1994 to June 2004. Futures price records are matched with S&P500 cash index price records. Simultaneous volatility models are specified and estimated to test trading volume to futures volatility lead/lag effects and also futures volatility to cash index volatility lead/lag effects. As we disaggregate from the market records to CT1 and CT4 records and further into year to year samples volume to futures volatility leading effects and also futures volatility to cash volatility leading effects dominate. The results raise important issues for risk management and dynamic hedging models employing intra-day trader data. A number of important issues for further analysis are also raised in this paper.

Computational exploration of the biological basis of Black-Scholes expected utility function

It has often been argued that there exists an underlying biological basis of utility functions. Taking this line of argument a step further in this paper, we have aimed to computationally demonstrate the biological basis of the Black-Scholes functional form as applied to classical option pricing and hedging theory. The evolutionary optimality of the classical Black-Scholes function has been computationally established by means of a haploid genetic algorithm model. The objective was to minimize the dynamic hedging error for a portfolio of assets that is built to replicate the payoff from a European multi-asset option. The functional form that is seen to evolve over successive generations which best attains this optimization objective is the classical Black-Scholes function extended to a multiasset scenario.

Dynamically opted protection envelope (DOPE) - A cost-effective strategy of insuring an investment portfolio

Popular ways of hedging downside risk of a stock portfolio is by means of a constant proportion portfolio insurance (CPPI) strategy or by means of an options-based portfolio insurance strategy (OBPI). However both have drawbacks in terms of practical applicability given transaction costs. Moreover they are not useful in times of very low liquidity e.g. in a market crash. Here we shall first review the common portfolio insurance techniques and then posit an alternative approach using a zero-coupon bond to extract downside coverage to the extent desired by an investor. While the posited strategy will not guarantee full downside protection for the entire investment horizon, it is unaffected by transaction costs resulting from need to periodically reallocate funds and is a lot easier to implement practically compared to options-based strategies. Unlike CPPI and OBPI, it will work in a crash situation too.

Optimal hedge ration with moving least squares - an empirical study using Indian single stock futures data

The use of commodity, currency and stock index futures to hedge risky exposures in the underlying assets is well documented in financial literature. However single stock futures are a relatively new addition to the family of futures and as such, academic research on its use as a hedging tool is relatively thin. In this study we have explored the efficacy of two different methodological approaches that may be applied when hedging a long position in the underlying stock with a single stock future. We use daily trading data covering years 2002 to 2007 from the Indian market, where single stock futures have been really thriving in terms of volume of trade, to extract the optimal hedge ratios using both static OLS as well as 30-day, 60-day and 90-day moving least squares. The method of moving least squares has been in use by market practitioners for some time primarily as a trend analysis and charting tool. Our results indicate that the moving least squares approach outperforms the static OLS in terms of the hedging efficiency, which has been measured by the root mean square hedging error.

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.

Working around a contested diagnosis : borderline personality disorder in adolescence

This discourse analytic study sits at the intersection of everyday communications with young people in mental health settings and the enduring sociological critique of diagnoses in psychiatry. The diagnosis of borderline personality disorder (BPD) is both contested and stigmatized, in mental health and general health settings. Its legitimacy is further contested within the specialist adolescent mental health setting. In this setting, clinicians face a quandary regarding the application of adult diagnostic criteria to an adolescent population, aged less than 18 years. This article presents an analysis of interviews undertaken with Child and Adolescent Mental Health Services (CAMHS) clinicians in two publicly funded Australian services, about their use of the BPD diagnosis. In contrast with notions of primacy of diagnosis or of transparency in communications, doctors, nurses and allied health clinicians resisted and subverted a diagnosis of BPD in their work with adolescents. We delineate specific social and discursive strategies that clinicians displayed and reflected on, including: team rules which discouraged diagnostic disclosure; the lexical strategy of hedging when using the diagnosis; the prohibition and utility of informal ‘borderline talk’ among clinicians; and reframing the diagnosis with young people. For clinicians, these strategies legitimated their scepticism and enabled them to work with diagnostic uncertainty, in a population identified as vulnerable. For adolescent identities, these strategies served to forestall a BPD trajectory, allowing room for troubled adolescents to move and grow. These findings illuminate how the contest surrounding this diagnosis in principle is expressed in everyday clinical practice.