This article analyses the impact of monetary and fiscal policies on economic growth in Malaysia, Singapore and Thailand from 1980:Q1 to 2017:Q1. Autoregressive distributed lag (ARDL) approach is employed to determine the long-run relationship. Further, a range of econometric models, such as fully modified least squares method (FMOLS), canonical cointegration regression (CCR) and dynamic ordinary least squares method (DOLS), are applied to check the robustness. The results are stable and robust as all the models yield consistency result. The main findings in this study demonstrate that: (a) interest rate had a negative impact on economic growth in three selected countries. (b) Government spending had a negative impact on economic growth in Malaysia and Singapore, but had a positive impact in Thailand. (c) Monetary policy is more effective in Malaysia and Singapore, while fiscal policy is more effective in Thailand. JEL Classification: E52, E58, E62, C01

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This study discusses the relationship between hot money and stock market in China by employing the Autoregressive Distributed Lag (ARDL) and Nonlinear Autoregressive Distributed Lag (NARDL) methods. The data used in this study is quarterly data over the period 2000: Q1 to 2017: Q4. The results show that oil price, economic growth and hot money possess a long-run relationship towards stock market in China, whereas, no effect is found from inflation. The oil price and economic growth are both positively related to stock market while there is a negative relationship from hot money. Furthermore, the study supports the existence of an asymmetric effect between hot money and stock market. The findings imply that policymakers should form better monitoring systems to control the inflow of hot money, thus, strengthening investors’ confidence and avoiding unwanted bubbles in China’s stock market.

This paper investigates whether monetary policies in Malaysia, Thailand and Singapore are best represented by either the Taylor rule or the augmented Taylor rule. It finds that the augmented Taylor rule, which incorporates the exchange rate and government spending, best represents monetary policies in these countries. The results show that past inflation and the output gap play a role in the monetary policy reaction function in Malaysia and Thailand. The results further show a strong preference towards interest rate smoothing, government spending, and the exchange rate by the central banks.

The purpose of this study is to examine the long-run relationship monetary and fiscal policy on inflation in Thailand by employing an Autoregressive Distributed Lag (ARDL). This study uses quarterly data from 1980: Q1 to 2017:Q1 and divides the sample data into pre-crisis period (1980Q1-1997Q3) and post crisis period (1997Q4-2017Q1). The results revealed that the longrun relationship between government spending and inflation was positive. The results implied that government spending was one of the important components when determining the inflation. However, interest rate was positive in pre-crisis and negative in post-crisis. The results indicated that monetary policy is more effective on inflation in the post-crisis period. Both pre-crisis and post-crisis period show that fiscal policy is more effective in influencing the inflation in Thailand. These results suggest that inflation in Thailand inflation is highly sensitive to the change in monetary and fiscal policies, especially as it emerges from a financial crisis.