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The main purpose of this study is to examine the dynamic relationship between tourist arrivals, inflation, unemployment and crime rates in Malaysia. This study covered the annual data from 1970 to 2008.

The multivariate Johansen‐Juselius cointegration test is employed to examine the potential long‐run equilibrium relationship. While the Granger causality test within the vector error‐correction modelling (VECM) framework is applied to determine the causal relationship between crime rate and its determinants.

The Johansen‐Juselius cointegration test result reveals that the variables are cointegrated and the dynamic ordinary least squares estimator suggest that unemployment, inflation and tourist arrivals are positively related to crime rates in Malaysia. For Granger causality, in the long‐run tourist arrivals, inflation and unemployment rates Granger cause crime rate in Malaysia. However, in the short run we find bilateral causality between unemployment, crime and tourist arrivals. Finally, the variance decompositions and impulse response functions analyses implied that unemployment, inflation and tourist arrivals are important in explaining the variation in crime for Malaysia.

The estimated crime rate function for Malaysia demonstrated that promoting supply‐side economy and also increases the numbers of police and patrolling duties in the potential crime areas will reduce the crime rate in Malaysia and in the same time attract more tourist arrivals to Malaysia.

The purpose of this study is to attempt to analyze Granger causality in the frequency domain framework between producers' prices measured by wholesale price index (WPI) and consumers' prices measured by consumer price index (CPI) in the context of India.

Analysis was carried out in the framework of time series and for analysis Johansen and Juselius's maximum likelihood approach for cointegration was applied after confirming that variables are integrated of order one, i.e. I(1) through the Lee and Strazicich unit root test. Finally, Granger causality was tested in the frequency domain by utilizing a recently developed approach of Lemmens et al. over the period January 1957‐February 2009.

The paper finds that CPI Granger cause WPI at a lower, intermediate as well as higher levels of frequency, reflecting very long‐run, intermediate as well as short‐run cycles. By contrast WPI Granger cause CPI at 5 percent level of significance was found at intermediate frequencies, reflecting significant intermediate cycles.

The study reveals that CPI is a leading indicator of producers' prices and inflation (i.e. WPI). This gives an indication that Indian policy analysts ought to control for factors affecting CPI in order to have control on WPI since WPI is used for making various macroeconomic indicators in real terms.

The main contribution of the paper is to show the evidence of bidirectional causality between WPI and CPI. Furthermore, use of a recent approach developed by Lemmens et al. for Granger causality in the frequency domain in this study is also relatively new. To the best of the author's knowledge there is no such study in this area either for developed or developing economy to date.

The purpose of this paper is to examine the causal relationships between stock prices and macroeconomic variables in Sri Lanka, in order to examine the validity of the semi‐strong form of the efficient market hypothesis.

The paper adopts unit roots and cointegration, error‐correction modelling, variance decomposition analysis, and impulse responses analysis to examine the causal relationship between six macroeconomic variables.

The results indicate that there are both short and long‐run causal relationships between stock prices and macroeconomic variables. These findings refute the validity of the semi‐strong version of the efficient market hypothesis for the Sri Lankan share market and have implications for investors, both domestic and international.

The paper addresses several methodological weaknesses in relation to unit root and cointegration tests which previous studies in the area of the paper have overlooked. Further, it uses more variables than those used in a previous study using Sri Lankan data.

Applies new tests for parameter instability in cointegrated models to evaluate the traditional export demand function. The determinants of exports considered are world real income, export price and competitors’ export price. The data for Singapore (a newly industrializing economy), from 1973‐1997, are used as a case study. Results suggest that Singapore does not satisfy the conditions of a small, price‐taking country in world trade. Irrespective of whether one normalizes export demand function by price or quantity, the state of external demand appears to be a key ingredient in Singapore’s export growth. This finding differs markedly from Riedel’s evidence. It is found that the estimation of Singapore’s export demand model requires the inclusion of some dummy variables in order to achieve not only cointegration but also long‐run parameter stability. However, once the structural breaks are accounted for, a stable relation is found, which resists a series of specification tests.

Given the potential of the stock market to provide required capital for agro-based companies, a time series analysis of the performance of major agricultural-based companies in the Nigerian stock exchange (NSE) was carried out.

Monthly records of volume of shares traded (VOL) as well as its determinants – current market price (CMP), dividend (DIV), earnings per share (EPS), price-earning ratio (PER), earning yield (EARN) and dividend yield (YIELD) were obtained from the NSE as indicators of performance through 11 years (1998-2008). Non-stationarity of the variables under consideration led to re-conceptualisation of the model as a vector autoregressive (VAR) system. Existence of more than one co-integrating vector in the data through the Johansen test, led to estimation of restricted VAR using the Vector Error Correction Model (VECM) imposing normalisation of VOL and PER.

The result of the analysis revealed that VOL is positively related to YIELD and CMP while it is inversely related to EARN, EPS and DIV. On the other hand PER increases with increasing EPS and DIV but reduces with increase in EARN and CMP. Short-run adjustment coefficients were generally large ranging from four months to ten years.

However, variables coefficients were more elastic in the long run.

This paper is an original article and has not been done by any other researcher. Furthermore, this paper has not been submitted to any other publishing house prior to this.

The purpose of this paper is to examine the level of capital market integration between the Montenegrin stock market and a number of European Union (EU) countries and the USA.

The authors use an equity data set at the daily frequency from 12 countries and 4 broad regions, spanning the period from March 2003 to September 2008. They investigate long-run and short-run dynamics using cointegration techniques, Granger causality tests and vector error correction models.

The authors provide evidence for the existence of a long-run equilibrium between Montenegro and the developed countries of Western Europe and the USA. The investigation of short-run dynamics reveals that Montenegro follows an autonomous path, influenced mainly by domestic developments.

This is the first study on the Montenegrin stock market which has been neglected by the academic community. Montenegro’s accession in the EU is imminent; thus the study of the level of its integration with the rest of EU countries, before its actual accession, is useful for regulators and policymakers. Various lessons of a more general nature can also be drawn from the analysis of this paper.

The purpose of this paper is to analyze possible causal relationships between exports, inward foreign investment and economic growth in Portugal and identify their direction.

The paper uses a three‐stage procedure based on unit root, cointegration and causality tests applied to annual data from 1977 to 2004.

The paper reveals that exports and FDI foster growth in the long‐run while in the short‐run there is a bi‐directional causal relationship between FDI and growth and a univariate causal relationship running from FDI to exports. FDI is viewed as a major determinant of economic growth, both directly and indirectly, via exports for both long and short‐run cases.

The results provide important corollaries in terms of policy implications and their relevance is far from being parochial. Some lessons in terms of domestic policies can be drawn by many countries that are now becoming EU members with economic structures and problems similar to those presented by the Portuguese economy in the 1980s.

This paper is the first of its kind to analyze the role of both FDI and exports in the Portuguese economy during the 1977‐2004 period, over which many efforts were developed in order to increase the external competition of the economy, in particular in the context of community structural frameworks. In order to reinforce the inflows of FDI, authorities should continue the progressive reduction of barriers to FDI and the reforms of the labour market which started in the early 2000s.

This paper aims to examine the dynamic interactions between monetary and financial variables in the Indian context.

In this paper, the authors have applied a recently developed asymmetric autoregressive distributed lag (ARDL) model by Shin et al. (2014), for detecting nonlinearities focusing on the long-run and short-run asymmetries among economic variables.

The results point toward the presence of asymmetric reaction of stock prices to changes in interest rate and exchange rate in full sample, as well as in pre-crisis. However, no asymmetry was found in the post-crisis period. The results further suggest that tight monetary policies appear to retard the stock prices, more than easy monetary policies that stimulate them.

The findings of the study can be helpful in understanding the policy transmission mechanism through asset price channel.

To the best of the authors’ knowledge, this is the first study that examines the interactions between monetary and financial variables in the Indian context in an asymmetric framework. The findings of this study are quite interesting and are different from several existing studies in the literature.