Foreign Direct investment (FDI) is considered to be an important source of capital especially in developing countries. FDI supplements local savings and brings a series of benefits in host countries. This research has focused OIC on countries since these countries are still far behind in attracting FDI compared to other developing countries. OIC member countries inhibit diversity in their resources from resource rich to resource poor countries. They lack behind the developed world in terms of economic development pertaining to weak economies. Since for these types of countries FDI can prove to be a vital source of capital, it becomes important to study the factors that affect it. This study exactly does the same by incorporating a series of determinants (inflation, size of the economy, trade openness, infrastructure, and institutional quality) to assess the impact they have in attracting FDI. We have used data for 42 countries spanning over 1996-2013. The choice of data selection has been dictated by data availability. For estimation we have used panel fixed effects and random effects estimators. Our results indicate that size of economy, infrastructure and trade openness are positively and significantly related in attracting FDI in those countries. Institutions on the other hand are negatively related. The effects of inflation are somewhat mixed according to our estimation and not robust. The implications of our findings are that policy makers should expend efforts in making more trade oriented policies, improve infrastructure and increase the size of economy.
The recent literature shows that COVID-19 has impacted stock markets around the world in many ways. In this paper, we examine the reaction of the Indonesian stock market to COVID-19. We apply the continuous wavelet coherence methodology to daily COVID-19 related deaths and daily conventional and Islamic stock indices inIndonesia. We find that COVID-19 negatively impacts the returns of both indices and enhances their volatility. We find the Islamic stock index to be more volatile as compared to its conventional counterpart during the COVID-19 outbreak.
Recently, Financial linkages among the most advanced countries are being explored. It is very crucial matter for investors, regulators and government alike. For investor so that they can effectively manage their portfolio and for regulators to implement right policies. However, there is lack of study on identifying existence of the financial linkages and measuring direction and strength of causality among the most advanced countries based on the most updated .Hence, this paper examines linkages between stock markets of four advanced stock markets (the United States, Australia , Euro zone and UK) during the period of January 2004 to December 2013. The method applied are the error correction and variance decompositions technique including recently improved “long run structural modelling (LRSM)”. Our findings, based on the above mentioned rigorous techniques, tend to suggest that there is direction of causation largely from U.K, and Euro Area and lowly from Australia to the US.
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