This study is motivated by an ongoing controversy over banks' interest rate setting conduct in the Australian mortgage market. We examine heterogeneity in the response of variable interest rates on owner-occupied housing loans to the ‘cost of funds' rates, including the cash rate and the cost...

We provide empirical evidence regarding the effect of stock market regimes on Social Responsible Investment (SRI). Using the Markov Switching Model, we identify three market regimes for the study period between June 2001 and December 2009 in the US. These regimes are the low, medium, and high...

This paper aims to investigate does foreign trade matter for the stock markets integration by segmenting Australian trade partners into three groups based on bilateral trade relations. We further explore time-varying correlations of pairwise stock market returns by employing asymmetric...

The widespread failures in the financial sector during the Global Financial Crisis prompted many governments worldwide to re-intervene in a market that had become increasingly state-free over the years. The re-intervention, however, has re-ignited a global debate on the role of the state in...

We investigate the fundamental company variables that can serve as indicators of profitability of investment in global water company stocks. More specifically, we examine the relationship between eleven company variables and abnormal returns with regards to the twenty companies that comprise the...

Using DEA Window Analysis and Tobit regression for 30 Vietnamese banks over 1995-2011, we examine the effects of bank reforms on cost, revenue and profit efficiency. We find that state-owned banks (SOBs) are more efficient than joint-stock banks (JSBs). Banks selected by foreign investors are...

This study aims to provide an in-depth understanding of the BRICs’ ADR markets with respect to their linkages with the corresponding economic fundamentals. Specifically, the paper attempts to explore the (a) long run relationship and (b) short run lead-lag relationship between the ADR market...

Purpose: The Group Method of Data Handling (GMDH) neural network has demonstrated good performance in data mining, prediction, and optimization. Scholars have used it to forecast stock and real estate investment trust (REIT) returns in some countries and region, but not in the United States (US)...

Although the many perceived benefits of a stock market may have led to their rapid formation and development aspirations across economies, emerging findings that stock markets may not be as useful as previously thought, even a detraction in the case of some developing economies, raises the...