This paper investigates the market pricing of subprime mortgage risk on the basis of data for the ABX.HE family of indices, which have become a key barometer of mortgage market conditions during the recent financial crisis. After an introduction into ABX index mechanics and a discussion of...

I examine the ability of equity market illiquidity to predict Australian macroeconomic variables, between 1976 and 2010. In contrast to existing, U.S.-based, studies, I find that stock market illiquidity does not, on average, have much predictive power over economic growth. Consistent with the...

This paper investigates the market pricing of subprime mortgage risk on the basis of data for the ABX.HE family of indices, which have become a key barometer of mortgage market conditions during the recent financial crisis. After an introduction into ABX index mechanics and a discussion of...

We propose a new investor sentiment index that is aligned with the purpose of predicting the aggregate stock market. By eliminating a common noise component in sentiment proxies, the new index has much greater predictive power than existing sentiment indices both in- and out-of-sample, and the...

Contemporaneous evidence of corporate revenue and profit forecasting error is provided in a different institutional context, Australian sharemarket initial public offerings. This article extends the literature on company forecast risk by incorporating new proxies for forecasting error (float...

We apply a number of forecasting models to Australian Government Bond yields. All methods rely solely on the history of yields. Consistent with findings from US Treasury data, we show that the simplest forecasting models across all maturities and forecasting horizons are also generally the best:...

This paper examines the predictive performance of a range of financial, economic, and sentiment variables that may predict the Australian All Ordinaries index equity risk premium using data for the last 28 years (1992–2020). The methods employed address a range of potential econometric biases...

Fine wine and alcohol prices can be predicted, but the accuracy of the prediction depends on the chosen forecasting horizon. In our study, we analyse the fine wine indices, as well as the retail and wholesale alcohol prices in the US from January 1992 to March 2022. We use comprehensive datasets...

This paper examines return predictability when the investor is uncertain about the right state variables. A novel feature of the model averaging approach used in this paper is to account for finite-sample bias of the coefficients in the predictive regressions. Drawing on an extensive...