Risk-Taking Behavior and Capital Adequacy in a Mixed Banking System: New Evidence from Malaysia Using Dynamic OLS and Two-Step Dynamic System GMM Estimators

This study is the first attempt to investigate the relationship between the level of risky assets and capital level in a mixed Malaysian banking system covering 83 months starting December 2006. The results of dynamic ordinary least squares indicate positive relationship between capital ratio (CAR) and risk-weighted asset ratio (RWA) in the long run. Furthermore, the causality analysis based on panel vector error correction model (VECM) and two-step dynamic system generalized method of moments indicates unidirectional causality from CAR to RWA. Our results further suggest that higher capital growth and capital buffer provide an extra cushion for the Malaysian banks to pursue relatively riskier financial activities, and the nature of risk-taking behavior of Islamic banks follows that of the conventional banks.     

Immigration and the unemployment benefit programme in Australia

A widely held view is that immigrants contribute to public debt through their over representation in the unemployment benefit programme. An empirical investigation, based on the 1990 Income Distribution Survey, finds support for this view. In contrast to the US and Canadian studies, this paper observes that the probability of receiving unemployment benefits is higher for immigrants than the native-born population and immigrants, who participate in the unemployment benefit programme, also receive a greater amount of unemployment benefits.     

Initial public offer pricing,corporate governance and contextual relevance: Australian evidence

This study examines the relationship between initial public offer (IPO) corporate governance, IPO pricing and possible contextual relevance. A comprehensive inventory of IPO governance attributes is modelled. A positive association is reported between the inventory and IPO initial returns. This relationship is attenuated for IPOs where a diminished price relevance of governance structure is posited: smaller scale firms and/or those with alternative monitoring agents in place. Relevance appears modified and even supplanted by particular corporate priorities or the presence of other monitoring mechanisms. These contexts inform the motivation of key players regarding whether and how to act in response to the governance signal.     

Sterilisation and Monetary Control by the GCC Member Countries

The prevailing dollar peg of the Gulf Cooperation Council (GCC) countries and the absence of any significant current and capital account restrictions led some to believe that these countries have lost monetary independence. However, the paper presents evidence that interest rates of the GCC countries did not converge to the interest rates of the US implying that the assets of the GCC countries are not perfect substitutes to the US assets. This imperfect asset substitutability has allowed the GCC countries to manoeuvre their monetary policies and the central banks of the GCC countries have had some control over their money growth rates by sterilising the changes in international reserves. Results indicate that the monetary authorities of these countries used domestic credit policy to attain some domestic policy objective while engaging in sterilised foreign exchange intervention. This result implies that the proposed GCC central bank should be able to maintain the monetary independence as a group and can reap the benefit of monetary efficiency of the proposed Gulf Monetary Union.     

Dynamic linkages and the propagation mechanism driving major international stock markets: An analysis of the pre- and post-crash eras

The stock market crash of October 1987 earmarked fears of a deep-seated financial crisis. In recent years, while there has been a number of empirical studies devoted to examinations of the number of common trends in a system of stock price indexes, only a minority has focused on what effect the crash has had on the characteristics [namely, the amount of co-movements amongst markets, their dynamic linkages, and implications for the transmission or propagation mechanism] of major stock markets. In this paper, we demonstrate how the techniques of unit root testing, cointegration, vector error-correction modelling (VECM) and forecast error variance decomposition (VDC) analysis, may be used to shed some light on these concerns in the context of six major international stock markets. Using two non-overlapping samples, we find evidence of a single cointegrating vector (or five common trends) over each of the pre- and post crash samples. A VECM is then constructed in which the temporal causal dynamics are examined, followed by decomposing the total impact of an unanticipated shock to each of the variables beyond the sample period, into proportions attributable to shocks in the other variables including its own. Results tend to broadly indicate: (1) the crash does not appear to have affected the relative leading role played by the US market over other markets; (2) the German and, British markets seem to have become more dependent on other markets over the post-crash era relative to the pre-crash; and (3) provide confirming evidence that, in general, the crash has brought about a greater interaction amongst markets, with a greater role for fluctuations in explaining shocks across markets (including that for the U.S.).     

A closer look at return predictability of the US stock market: evidence from new panel variance ratio tests

This paper examines the return predictability of the US stock market using portfolios sorted by size, book-to-market ratio and industry. We use novel panel variance ratio tests, based on the wild bootstrap proposed in this paper, which exhibit desirable size and power properties in small samples. We have found evidence that stock returns have been highly predictable from 1964 to 1996, except for a period leading to the 1987 crash and its aftermath. After 1997, stock returns have been unpredictable overall. At a disaggregated level, we find evidence that large-cap portfolios have been priced more efficiently than small- or medium-cap portfolios; and that the stock returns from high-tech industries are far less predictable than those from non-high-tech industries.     

Out‐of‐sample stock return predictability in emerging markets

This article builds on the widely debated issue of stock return predictability by applying a broad range of predictor variables and comprehensively considering the in‐sample and out‐of‐sample stock return predictability of ten advanced emerging markets. It compares forecasts from models with a single predictor variable, multiple predictor variables and a combination forecast approach. The results confirm the findings of Welch and Goyal (2008) for US data that only a limited number of individual predictor variables are able to deliver significant out‐of‐sample forecasts. However, a combination forecast approach provides statistically and economically significant out‐of‐sample forecast results.     

A Fractional Cointegration Approach to Testing Mean Reversion Between Spot and Forward Exchange Rates: A Case of High Frequency Data with Low Frequency Dynamics

This paper applies a relatively new but generalised concept of fractional cointegration to shed some light on the validity of a long-run relationship between high frequency daily spot and the lagged forward Australian-US dollar exchange rate. An investigation of the stochastic properties of these rates reveals that, while the relationship is not cointegrated in their logs, they appear to be fractionally cointegrated if we allow for mean reverting processes that are CI (1, d ) with 0< d <1. The paper demonstrates that relaxing the condition that the residual from the cointegration equation must be a I (0) process, captures a much wider class of mean-reversion behaviour. This result is interpreted in the context of the speculative EMH between the spot and forward exchanges rates, as having some empirical support. Furthermore, an analysis of the short-run dynamics propelling the long-run relationship tends to imply that in both the short- and long-term, the forward rate is led by the spot rate. In the longer term, the spot rate is found to be the initial receptor of any exogenous shock to the equilibrium and it is the forward exchange rate that bears the brunt of short-run adjustment to re-establish the long-run equilibrium relationship. The approach illustrated in this paper is shown to hold enormous potential for tests of mean reversion involving hypotheses popular to financial econometrics in general, where the dynamics of high frequency data are under scrutiny.     

Australian financial firms’ exposures to the level,slope, and curvature of the interest rate term structure

This study examines the risk exposure of Australian financial firms to changes in the term structure of interest rates. Non-linearity in the interest rate term structure is captured by the three-factor model of interest rate level, slope, and curvature. We observe that financial firms have negative exposures to the interest rate level, while non-financial firms have positive exposures. This finding suggests that financial firms need to hedge against rising interest rates, while non-financial firms need to hedge against falling interest rates. Small banks and insurance companies have a positive risk exposure to the slope factor, while real estate firms have a negative risk exposure to the curvature factor. Though the interest rate level is the most important factor, ignoring the slope and curvature factors could lead to underestimating a financial firm’s overall interest rate risk exposure. These findings are robust to controlling for the orthogonalized market return, time-varying equity risk premium, and the global financial crisis. This study offers practical tools to regulators, such as the Reserve Bank of Australia and Australian Prudential Regulatory Authority for assessing interest rate risk exposures of the financial and non-financial sectors.