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This study focuses on the challenge of accurately forecasting foreign direct investment (FDI) inflows to Bangladesh, which are crucial for the country's sustainable economic growth. Although Bangladesh has strong potential as an investment destination, recent FDI inflows have sharply declined due to global economic uncertainties and the impact of the COVID-19 pandemic. There is a clear gap in applying advanced forecasting models, particularly the autoregressive integrated moving average (ARIMA) model and machine learning techniques like random forest (RF), to predict FDI inflows in Bangladesh. This study aims to analyze and forecast FDI inflows in Bangladesh by employing a hybrid approach that integrates the ARIMA model and the RF algorithm. This study covers the period from 1986 to 2022. The analysis reveals that net FDI inflow in Bangladesh is integrated into the first order, and the ARIMA (3,1,2) model is identified as the most suitable based on the Akaike Information Criterion (AIC). Diagnostic tests confirm its consistency and appropriateness for forecasting net FDI inflows in the country. This study's findings indicate a decreasing trend in net FDI inflows over the forecasted period, with an average of USD 1664 million, similar to recent values. The results from the RF model also support these findings, projecting average net FDI values of USD 1588.99 million. To achieve the aims of Vision 2041, which include eradicating extreme poverty and becoming a high-economic nation, an increasing trend of FDI inflow is crucial. The current forecasting trends provide insights into the potential trajectory of FDI inflows in Bangladesh, highlighting the importance of attracting higher FDI to accomplish their economic goals. Additionally, strengthening bilateral investment agreements and leveraging technology transfer through FDI will also be essential for fostering sustainable economic growth. [ABSTRACT FROM AUTHOR]

This research paper focuses on figuring out the impact of trade openness on FDI inflows, which has received relatively less attention in the literature, specifically in the context of ASEAN economies. The ASEAN region, which is relatively more open in terms of both trade openness as well as FDI inflows, is chosen as a sample. Annual data are gathered from "World Development Indicators (WDI)" and "World Governance Indicators (WGI)". Reported results and findings are based on "Fixed Effect (FE) Modeling", and the "Generalized Least Square (GLS)" is utilized for the robustness check. The results indicated that trade openness matters significantly for attracting FDI inflows. Similarly, institutional quality has also exerted a positive and significant influence on the inflows of FDI. The disaggregated analysis shows that five aspects of institutional quality, such as rule of law, regulatory quality, control of corruption, voice and accountability, and political instability and absence of violence, have positively and significantly impacted the FDI inflows in the case of selected ASEAN economies. The results demonstrated that exchange rate depreciation is harmful for the inflows of FDI. Moreover, FDI inflows responded positively to market size. Furthermore, the results showed that the impact of natural resources and inflation on FDI inflows is insignificant statistically. The present study suggests that the ASEAN policymakers manage their exchange rate effectively, improve the quality of institutions, and adopt vigorous trade liberalization policies to attract more FDI inflows. [ABSTRACT FROM AUTHOR]

In recent years, a number of countries with emerging economies have proceeded to use market-oriented strategies, deregulation and reforms in order to attract more foreign investors and attract foreign direct investment (FDI) inflows. The present paper aims to empirically investigate the role of governance in attracting FDI using panel data and comparing two groups of fast-growing emerging countries, namely BRIC (Brazil, Russia, India, China) and CIVETS (Colombia, Indonesia, Vietnam, Egypt, Turkey and South Africa). The study includes a panel data analysis using the latest available secondary data ranging from 2002 to 2019. Empirical models are extended and presented. The findings suggest that FDI inflows in BRICS are attracted by rule of law, regulatory quality, political stability and absence of violence, while CIVETS absorb FDI inflows due to control of corruption, political stability, absence of violence, regulatory quality and government effectiveness. The paper contributes to the existing literature since it is the first attempt to investigate the role of governance in attracting FDI in BRIC and CIVETS economies, taking into consideration other FDI determinants. To our knowledge, it is the first paper to study and compare FDI and institutional determinants in the specific groups of emerging countries. [ABSTRACT FROM AUTHOR]