Domestic interest rate, foreign direct investment, and corruption

2021 ◽  
Author(s):  
Nadine McCloud ◽  
Michael S. Delgado
Keyword(s):  
Foreign Direct Investment ◽  
Interest Rate ◽  
Direct Investment ◽  
Domestic Interest Rate

scholarly journals Exchange Rate Volatility and Foreign Direct Investment

2020 ◽  
Vol 12 (3) ◽  
pp. 38
Author(s):  
Samuel Erasmus Alnaa ◽  
Ferdinand Ahiakpor
Keyword(s):  
Foreign Direct Investment ◽  
Exchange Rate ◽  
Interest Rate ◽  
Gross Domestic Product ◽  
Real Exchange Rate ◽  
Direct Investment ◽  
Exchange Rate Volatility ◽  
External Factors ◽  
Conditional Heteroskedasticity ◽  
Data Set

The paper seeks to determine the effect of exchange rate volatility on foreign direct investment in Ghana from 1986 to 2017. The study adopted the Generalized Autoregressive Conditional Heteroskedasticity model to fit the data set from 1986-2017. The results indicate that, previous quarter information can influence current quarter volatility in Foreign Direct Investment. Real exchange rate, gross domestic product and treasure bill rate considered as external factors, are all found to be significant. This shows that, volatility from these factors can spillover to volatility in foreign direct investment.  To ensure stable inflow of foreign direct investment, we recommend that policies should gear towards stability in the forex market and interest rate among others.

scholarly journals DETERMINANTS OF ASSETS GROWTH OF FOREIGN OWNED BANKS IN INDONESIA

2020 ◽  
Vol 13 (2) ◽  
pp. 41-50
Author(s):  
Aswin Rivai ◽  
Rina Indiastuti
Keyword(s):  
Foreign Direct Investment ◽  
Interest Rate ◽  
Direct Investment ◽  
Bilateral Trade ◽  
Operating Experience ◽  
Local Environment ◽  
Least Square ◽  
Policy Makers ◽  
Foreign Countries ◽  
Long Time

The aim of this research is to assess the dominant factors enabling foreign owned banks to increase their assets in Indonesia and to confirm whether the “follow the customers hypothesis” is also applicable in motivating foreign owned banks to do business in Indonesia to support investment and trade activities of the companies originated from foreign countries. Using the panel data of 28 foreign owned commercial banks in Indonesia between 2006-2015 obtained from Indonesian Banking Directory, Indonesian Banking Statistics databases, foreign country central bank websites, a least square dummy variable (LSDV) regression model was applied to examine the effect of Bilateral Trade, Foreign Direct Investment (FDI), Interest Rate Differences, Domestic Deposits, Parent banks Return on Assets (ROA) and Length of Time presence of the foreign owned banks in Indonesia on Assets or Size of Foreign Owned Banks. The main findings is that the decisions by foreign owned banks to operate and to expand its business in Indonesia is predominantly affected by the increase in realization of projects funded by Foreign Direct Investment from counterpart countries, third parties fund or domestic deposit denominated in foreign currencies, profitability of the parent banks in home country and long time presence in Indonesia to enable parent bank and their branches or subsidiaries gain better operating experience, better general managerial expertise and better knowledge of local environment. Bilateral Trade and Interest Rate Differences between home and host country has no impacts at all on Assets of Foreign Owned Banks. “Follow the customer hypothesis” is applicable in Indonesia only in terms of FDIs but not applicable in terms of bilateral trade. The findings will help management of the banks in designing more reliable business plan and also used as input or tools for policy makers prior issuing the license for the newly open foreign owned banks offices or increase of its branch offices. It is suggested foreign owned banks to consider empowering its trade financing scheme which will increase the banks size or assets.

scholarly journals ANALISIS INVESTASI ASING LANGSUNG (FDI) DI NEGARA ASEAN TAHUN 2000-2017

2019 ◽  
Vol 3 (3) ◽  
pp. 397-409
Author(s):  
Futuhatul Barorah ◽  
Nazaruddin Malik ◽  
Zainal Arifin
Keyword(s):  
Foreign Direct Investment ◽  
Panel Data ◽  
Interest Rate ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Direct Investment ◽  
Trade Openness ◽  
Analytical Tool ◽  
Gdp Growth ◽  
Testing Hypotheses

The aim of this research is nalyze foreign direct investment (FDI) from 2000 to 2017. The analytical tool used was multiple linear regression with panel data method by testing hypotheses namely F test, t-test, and Determination Coefficient R2. The software used in the analysis of this study was Eviews 9. The finding of the study denotes that all of influence of GDP growth, Trade Openness, Interest Rate and Inflation gave influence toward on Foreign Direct Invesment with a probability value of 0,0000. While individually, The country of Myanmar has the highest intercept inversely proportional to Malaysia which has the smallest intercept. While individually GDP growth and Trade Openness has a positive and significant effect on Foreugn Direct Invesment, Interest Rate and inflation has a negative and significant effect on Forign Direct Invesment.

scholarly journals Trade Openness and Economic Growth Nexus in Pakistan

2020 ◽  
Vol V (III) ◽  
pp. 22-33
Author(s):  
Ghulam Yahya Khan ◽  
Muhammad Masood Anwar ◽  
Aftab Anwar
Keyword(s):  
Economic Growth ◽  
Foreign Direct Investment ◽  
Exchange Rate ◽  
Interest Rate ◽  
Granger Causality ◽  
Direct Investment ◽  
Trade Openness ◽  
Explanatory Variables ◽  
Integration Approach ◽  
Long Run

This study explores the nexus amongst trade openness and economic growth for Pakistan for 1981-2019. Trade-openness is a dependent variable, and it is measured as imports plus exports to GDP ratio. Economic growth, Foreign Direct Investment, Inflation, Exchange rate, and interest rate are taken as explanatory variables. Co-integration approach by Johansen and Juselius (1988, 1991) has been used for long-run relationships. Results indicate that Trade-Openness has significantly affected the economic growth and other control variables of the study for Pakistan. There exist bidirectional Granger Causality in the selected variables.

scholarly journals Current account determinants in ASEAN 6

2018 ◽  
Vol 21 (2) ◽  
Author(s):  
Novi Ariyani ◽  
Fajar Wahyu Priyanto ◽  
Lilis Yuliati
Keyword(s):  
Foreign Direct Investment ◽  
Exchange Rate ◽  
Interest Rate ◽  
Gross Domestic Product ◽  
Current Account ◽  
Direct Investment ◽  
Domestic Product ◽  
Annual Data ◽  
The Current Account

This study aims to analyze the factors that influence the export activity in the ASEAN region countries such as Indonesia, Singapore, Thailand, Malaysia, Philippines and Vietnam during 2001 - 2016 by using annual data. The factors that influence gross domestic product (GDP), interest rate, foreign direct investment (FDI) and exchange rate. The method used in the research is panel Vector Error Correlation Model (PVECM). The results show that Gross Domestic Product (GDP) negatively affects the current account in the short term. The interest rate variable negatively affects the current account in the long term. The Foreign Direct Investment (FDI) variable negatively affects the current account in the long term. Furthermore, the exchange rate variable negatively affects the current account in the long term.

scholarly journals FOREIGN DIRECT INVESTMENT AND EXPORT PERFORMANCE OF THE PAKISTAN COINTEGRATION AND CAUSALITY APPORACH

2015 ◽  
Vol 11 (1) ◽  
Author(s):  
Abdur Rahman Aleemi ◽  
Keyword(s):  
Growth Rate ◽  
Foreign Direct Investment ◽  
Interest Rate ◽  
Interest Rates ◽  
Direct Investment ◽  
Export Performance ◽  
Gdp Growth ◽  
Local Market ◽  
Long Run ◽  
Gdp Growth Rate

FDI is a bridge between the world markets and local market and works as a way to increase the capabilities of the host country through investments that help in transfer of technology and creation of employment opportunities. The aim of this paper was to investigate the nexus of Foreign Direct Investment and the Export performance in the economic settings of Pakistan along in the presence of explanatory variables, based on well-established economic theory and long standing relationships. Supplementing the variables into a linear regression model, tested under the OLS and checked for the assumptions of normally and identically distributed errors, it was found that exports are positively affected by FDI and CPI whereas negatively affected by the interest rates in the case of Pakistan. Furthermore the long run relationship between the variables has been tested under the Johensen Cointegration test, which suggest that a long run relationship exist between the variables. Finally the direction of causality has been investigated with the help of Granger Causality test, indicating a bidirectional causality between CPI and interest rate, exports and interest rate, unidirectional causality from exports to CPI, CPI to GDP growth rate, interest rate to GDP growth rate, exports to FDI and exports to GDP growth rate.

scholarly journals Macroeconomic Influence on the Nepalese Stock Market

2019 ◽  
Vol 31 (1) ◽  
pp. 47-64
Author(s):  
Mukti Bahadur Khatri
Keyword(s):  
Foreign Direct Investment ◽  
Exchange Rate ◽  
Interest Rate ◽  
Stock Market ◽  
Money Supply ◽  
Stock Prices ◽  
Economic Activity ◽  
Direct Investment ◽  
Negative Relationship ◽  
Short Run

This study examines the dynamic relationship among the stock market and macroeconomic factors such as nominal domestic variables (inflation, money supply, and interest rate), real economic activity (gross domestic product) and foreign variable (exchange rate and foreign direct investment) of Nepal. It has used Johansen and Juselius (1990) method of multivariate cointegration for the period Mid-July 1994 to Mid-July 2015. The finding of this study shows that the stock prices are positively and significantly related to money supply. Real economic activity and interest rate have insignificant and negative relationship with the stock prices. Similarly, foreign direct investment, inflation (CPI) and exchange rate with US dollar have a positive and insignificant relationship with the Nepalese stock market. Accordingly, the VEC estimates suggest that there is no significant effect of macroeconomic variables to the Nepalese stock price in the short run. In general, the presence of cointegration and causality suggest that Nepalese stock market is not efficient in both the short run and the long run.

scholarly journals The Use of Auto-Regressive Distributed Lag Method in Investigating The Impact of Interest Rate on Foreign Direct Investment in Yemen for the Period 1990-2018

2020 ◽  
Vol 26 (123) ◽  
pp. 145-157
Author(s):  
Saif Sallam Alhakimi
Keyword(s):  
Foreign Direct Investment ◽  
Interest Rate ◽  
Interest Rates ◽  
Direct Investment ◽  
Inflation Rate ◽  
Trade Openness ◽  
Fdi Inflows ◽  
Distributed Lag ◽  
Auto Regressive ◽  
The Impact

 Foreign direct investment has seen increasing interest worldwide, especially in developing economies. However, statistics have shown that Yemen received fluctuating FDI inflows during the period under study. Against this background, this research seeks to determine the relationship and impact of interest rates on FDI flows. The study also found other determinants that greatly affected FDI inflows in Yemen for the period 1990-2018. Study data collected from the World Bank and International Monetary Fund databases. It also ensured that the time series were made balanced and interconnected, and then the Auto Regressive Distributed Lag method used in the analysis. The results showed that the interest rates and inflation rate harmed FDI flows and, therefore, could not be used for policymaking purposes. The research also discovered that GDP growth and trade openness are the main determinants of foreign direct investment in Yemen. Trade openness policies should be encouraged, and GDP growth facilitated if the economy is to achieve long-term FDI flows. Purpose –The purpose of the paper is to discover the impact of interest rate on foreign direct investment with a combination of the exchange rate, inflation, gross domestic product, and trade openness. Design/methodology/approach – The paper implements the Auto Regressive Distributed Lag (ARDL)-Bounds testing approach to analyze maintaining the time series properties in terms of stationarity. Findings – The results indicate that there is a long-run equilibrium between the Foreign Direct Investment and the explanatory variables. Furthermore, the significant factors influencing, positively, FDI in Yemen are Growth domestic product, Exchange rate, and Trade openness. In contrast, both the Interest rate and Inflation rate have a substantial negative impact on Foreign Direct Investment. Practical implications – Policymakers in Yemen advised reconsidering many of the general state policies, including investment policies, financial and administrative governance, and monetary policy that focuses on maintaining an adequate interest rate and reduce the rate of inflation. Originality/value – As for the case of Yemen, this the first study empirically explores the impact of interest rate and the foreign direct investment using the Auto Regressive Distributed Lag method aiming for more reliable results.

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