Term structure of interest rates in the Singapore Asian dollar market

This paper investigates empirically the term structure of interest rates in the Singapore Asian Dollar Market. We consider extended versions of the ARCH-M model of Engle, Lilien, and Robins (1987). The extended models permit autocorrelation, skewness and leptokurtosis in the residuals. The robustness of the empirical tests with respect to alternative specifications of the ARCH process is examined. It turns out that there is significant time-varying term premium, and this conclusion is independent of the hypothesized ARCH model.     

The effect of more rules‐based guidance on expense disclosure under International Financial Reporting Standards

International Financial Reporting Standards (IFRS) are often described as principles‐based; however, we show that IFRS and Australian pre‐IFRS expense‐related standards are more rules‐based than pre‐IFRS expense disclosure in New Zealand. Thus, we examine expense disclosure in New Zealand and Australia around IFRS adoption to provide evidence on the effect of more or less rules‐based standards on voluntary disclosure. First, we add to the rules versus principles‐based standards debate by finding higher voluntary expense disclosure under more rules‐based standards (e.g. IFRS). This contrasts with expectations, as we would expect fewer voluntary disclosures under more rules‐based standards as there would be fewer possible voluntary disclosures. Second, we document that New Zealand firms have significantly less voluntary expense disclosure than size‐ and industry‐matched Australian firms in both the pre‐ and post‐IFRS period. However, all measures of expense disclosure significantly improved post‐IFRS for New Zealand, whilst little change occurred for Australian firms. Thus, there is greater financial statement comparability across these countries post‐IFRS, but not full harmonization. Third, we show that the relationship between most firm characteristics and expense disclosure is weaker post‐IFRS. In addition, cross‐listed firms and loss‐making firms have a higher level of expense disclosure, as contrasted with firms in the investment and property industry which have a lower percentage of unspecified expenses but also report fewer voluntary expenses.     

Creating a Testable, Estimable Model to Inform Our Response to the Test-Score Gap Crisis

The test-score gap between black and white students should be seen as a crisis. We propose a testable model based on readily available data that will allow us to estimate the impact and interrelationships of a multitude of factors that may be partially responsible for the problem. The estimation of this model will require the joint efforts of experts in many areas of education as well as of experts in multilevel structural equation modeling.     

Stock market volatility forecasting: Do we need high-frequency data?

The general consensus in the volatility forecasting literature is that high-frequency volatility models outperform low-frequency volatility models. However, such a conclusion is reached when low-frequency volatility models are estimated from daily returns. Instead, we study this question considering daily, low-frequency volatility estimators based on open, high, low, and close daily prices. Our data sample consists of 18 stock market indices. We find that high-frequency volatility models tend to outperform low-frequency volatility models only for short-term forecasts. As the forecast horizon increases (up to one month), the difference in forecast accuracy becomes statistically indistinguishable for most market indices. To evaluate the practical implications of our results, we study a simple asset allocation problem. The results reveal that asset allocation based on high-frequency volatility model forecasts does not outperform asset allocation based on low-frequency volatility model forecasts.