The Great Financial Crisis of 2007-09 confirmed the vital importance of advancing our understanding of macrofinancial linkages, the two-way interactions between the real economy and the financial sector. The crisis was a bitter reminder of how sharp fluctuations in asset prices, credit and...

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...

Møller and Rangvid (2015) report that economic growth at the end of the year is a strong predictor of future stock returns for the post-WWII period, whereas economic growth during the rest of the year does not. Revisiting these results with an extended period 1926-2020, we find that this...

Artificial neural networks have become increasingly popular for statistical model fitting over the last years, mainly due to increasing computational power. In this paper, an introduction to the use of artificial neural network (ANN) regression models is given. The problem of predicting the GDP...

This paper attempts an eclectic synthesis on long-term growth of Indian economy. Paper establishes a model from different theories of growth within a unified framework. Artificial Neural Network (ANN) has been used to analyze determinants of growth in Indian economy from 1971 to 2008. ANN...

This paper argues that since China closes her asset markets, investors turn to Hong Kong instead. The initial public offerings (IPO) of Chinese firms in the Hong Kong stock market and the local housing market of Hong Kong improve the prediction of each other, as they may serve as a coordinator...