This paper discusses the implementation of the 2016 India demonetisation, and analyses its macroeconomic consequences. The pivotal issue here is a regional heterogeneity of CPI inflation caused by demonetisation. A dynamic panel CPI model has been estimated in order to find out whether unequal accessibility of banking services determines the inflation heterogeneity. The findings suggest that financial services accessibility is not a significant inflation-driving factor. Hence a hypothesis about a redistribution of wealth between rural and urban areas with different access to banking might be rejected.

This study attempts to revisit import demand function across three panels of frontier, emerging, and developed economy from 1980 to 2016. Long-run relationship exists among import demand, relative price, exchange rate, and real GDP in economy. Due to increase in real GDP, import demand responds positively across economies. It responds in same direction in short-run in frontier and emerging economies with relative price unlike that of long-run in same economies. However, it responds in same direction with relative price in developed economy. It moves in opposite direction with respect to movement in exchange rate of frontier economy unlike that of developed economy. Next, the behavior of import demand in short-run due to change in exchange rate varies from that of long-run in emerging economy. This study will help to predict the dynamics of import due to change in income level, relative price, and exchange rate at national and international level.

The aim of our research is to find out whether the fundamental strength of the company affects its investment performance. The research is provided for 27 non-financial companies listed on the Warsaw Stock Exchange in the years 2012–2017. These companies belong to the stock indexes WIG20 and mWIG40 portfolios. The obtained results show that the proposed synthetic measure makes it possible to estimate the fundamental strength of listed companies, and the correlation between values of the constructed measure and rates of return is positive but usually statistically insignificant.

The present study aims to investigate the dynamic relationship between economic growth and energy consumption. Specifically, the study tries to answer the questions whether energy consumption has any significance effect on economic growth of the country and it also determined the magnitude of the effect. In doing this, the study used an ARDL bound test approach to analyze Ethiopian data from 1970 to 2017 with real GDP as a function of energy consumption, human capital., physical capital., trade openness and policy change dummy. To do so, secondary data were obtained from WDI, UNCTAD stat and NBE. Co-integration test approves the existence of long-run relationship among the variables. Moreover, the estimation result reveals that, energy consumption found statistically insignificant in affecting economic growth in the long-run. However, it was positive and statistically significant in short-run. Likewise, the dummy variable incorporated to capture the policy change found insignificant in long-run and with positive significant result in short-run. Also, we applied the Granger causality test in linear multivariate models to evaluate how important is the causal impact of energy consumption on economic growth. The results give the evidence of causality running from economic growth to energy consumption supporting “conservation hypothesis”, implying that reducing energy consumption may be implemented with little or no adverse effect on economic growth. Hence, this study recommended the policy makers to improve the existing policies on energy consumption so as to enhance the level of efficiency in the energy sector i.e. energy regulation policies supporting the shift from lower-quality to higher-quality energy services.

This paper examines the cointegration and causal relationships between export, import, and economic growth in India using quarterly data from 1996:Q2 to 2019:Q2. Stationarity properties of the time series data are investigated using Augmented Dickey-Fuller (ADF) and Phillips-Perron (PP) unit root tests, and the existence of cointegrating relationship is studied using Johansen’s cointegration test. Finally, the causal relationships between the variables are examined using Vector Error Correction Model (VECM). The results show that, under both tests, the time series variables are non-stationary at their levels and are stationary at their first differences. The Johansen’s cointegration test shows the existence of a long run equilibrium relationship among the variables. The results from the VECM indicate that there is a unidirectional causal relationship running from economic growth to import in India. This implies that with an increase in the income of the nation, the nation’s spending will increase, and some of the spending will be on import.

The aim of the article is to assess the impact of the sector environment and of selected internal factors on the profitability level of the companies listed on the Warsaw Stock Exchange in 1998-2016. An increase in the financial leverage, financial liquidity, non-debt tax shield and enterprise size cause a drop in the ROA. An increase in the ratio of fixed assets to the total assets results in an increase in the ROA. Similar results were obtained for the models estimated for the ROE. It means, that profitability of the examined companies results from the decisions made by the managers and from the impact of the sector environment.

Sovereign CDS (Credit Default Swap) is a derivative that provides insurance of repayment of the government’s loans and may be considered as a market indicator of the insolvency risk of a country. The aim of the study is to identify factors affecting the sovereign CDS spreads of selected European countries for the period from 2008 to 2016. Factor analysis shows that there are two common factors that have explained about 93% of the variation of the CDS spreads. Next, the decomposition of the spreads presents the influence of these factors on CDS spreads of surveyed countries.

Market efficiency assumes that asset prices should be characterized by randomness and unpredictability, so that potential market participants are not able to generate above-average profits. This means that there should be no seasonal phenomenon in time series, which clearly projects a certain pattern of behavior of financial assets. The paper is an attempts to verify some specific seasonal effect called “the day of the week” on the precious metals market. The selection of this area is not accidental. Precious metals are an alternative to classic capital investments, especially in the case of financial and economic crises. In addition, the literature shows a gap in this area in terms of dynamics analysis on commodity markets, if compared to capital market. The analysis of day of the week effect was carried out taking into account both conditional mean and conditional variance. Results are not clear and strongly depends on the type of precious metal.

The purpose of this study is to explore commonality in liquidity on seven small emerging CEE stock markets in the Czech Republic, Hungary, Slovakia, Slovenia, Lithuania, Estonia, and Latvia, in the context of serious problems with stock illiquidity. The number of companies that reveal a substantial non-trading problem is large. A modified version of the Amihud measure is utilized as daily liquidity proxy for stocks. The OLS-HAC method and the GARCH-type models are employed to infer the patterns of commonality in liquidity. No reason has been found to support intra-market commonality in liquidity on each investigated stock exchange.

This study examines the causal relationship between the Nepalese Stock Exchange (NEPSE) Index, the interest rate, gold price, and the USD exchange rate in Nepal. The monthly time series data from January 2006 to June 2018 are used. Time series properties of the data are diagnosed using the Ng-Perron unit root test and Johansen's cointegration test. Finally, the Granger causality test based on the Vector Error Correction Model (VECM) is used to find the direction of causation, and to model the short and long-run relationships between the variables. The findings suggest that there exists a feedback relationship between the NEPSE Index and the interest rate, and there exists a unidirectional causation from the gold price to both the exchange rate and the interest rate. There is also a unidirectional causation from the exchange rate to the NEPSE Index during the sample period. These findings have implications for government agencies, investors, researchers, stakeholders, and others interested in the topic.