Foreign Direct Investment and Investor Sentiment: A Causal Relationship

2016 ◽  
Vol 16 (4) ◽  
pp. 697-719
Author(s):  
M. Kabir Hassan ◽  
Mamunur Rashid ◽  
Esther Castro
Keyword(s):  
Interest Rate ◽  
Interest Rates ◽  
Investor Sentiment ◽  
Economic Stability ◽  
Vector Error Correction ◽  
Macroeconomic Conditions ◽  
Foreign Companies ◽  
Vector Error ◽  
Short Run ◽  
The Impact

Past studies investigated a number of fundamental variables influencing FDI in various countries. This study offers extensive evidence on the impact of investor sentiment on net FDI flows in Malaysia. Using a vector error correction framework, this study analyzed the net FDI flows in Malaysia for 56 quarterly observations between 1998 and 2011, and reported a strong positive connection between investor sentiment index and FDI flows in the presence of other macroeconomic variables in the long- and short-run. Other important factors deciding FDI in Malaysia are real GDP, interest rate and currency value. FDI exhibited a bi-directional Granger causality with investor sentiment and gross domestic product. FDI is also Granger caused by interest rate. Decomposing the sentiment index to two sub-indexes, we find that the attitude dimension of the index hold greater influence on FDI than the market trading dimensions although both are significant. The study concludes that expectation around financial market, expected economic condition of the country and the region (i. e. ASEAN), and interest rates are important determinants of FDI in Malaysia. It is one of the findings of this study that FDI cannot be attracted simply based on economic stability of the country; rather a conducive regional atmosphere is indeed necessary. Consequently, our findings suggest that rather than implementing policies to improve macroeconomic conditions, governments should attempt to improve the perception and outlook of Malaysia to foreign investors in order to increase FDI flows into the country. Investing in bilateral (and/or multilateral) relationships can be one of the steps to create a positive impression for the region to attract more foreign companies.

scholarly journals Do Erratic Rainfalls Hamper Grain Production? Analysis of Supply Response of Rice to Price and Non-Price Factors

Agronomy ◽  
2021 ◽  
Vol 11 (8) ◽  
pp. 1463
Author(s):  
Ghulam Mustafa ◽  
Azhar Abbas ◽  
Bader Alhafi Alotaibi ◽  
Fahd O. Aldosri
Keyword(s):  
Unit Root Test ◽  
Rice Production ◽  
Vector Error Correction ◽  
Supply Response ◽  
Target Time ◽  
Vector Error ◽  
Long Run ◽  
Short Run ◽  
The Government ◽  
The Impact

Increasing rice production has become one of the ultimate goals for South Asian countries. The yield and area under rice production are also facing threats due to the consequences of climate change such as erratic rainfall and seasonal variation. Thus, the main aim of this work was to find out the supply response of rice in Malaysia in relation to both price and non-price factors. To achieve this target, time series analysis was conducted on data from 1970 to 2014 using cointegration, unit root test, and the vector error correction model. The results showed that the planted area and rainfall have a significant effect on rice production; however, the magnitude of the impact of rainfall is less conspicuous for off-season (season 2) rice as compared to main-season rice (season 1). The speed of adjustment from short-run to long-run for season-1 rice production is almost two-and-a-half years (five production seasons), while for season-2 production, it is only about one-and-a-half year (three production seasons). Consequently, the study findings imply the supply of water to be enhanced through better water infrastructure for both seasons. Moreover, the area under season 2 is continuously declining to the point where the government has to make sure that farmers are able to cultivate the same area for rice production by providing uninterrupted supply of critical inputs, particularly water, seed and fertilizers.

scholarly journals Foreign capital flows, exports and growth in Zambia

2015 ◽  
Vol 5 (4) ◽  
pp. 26-37
Author(s):  
Kunofiwa Tsaurai
Keyword(s):  
Capital Flows ◽  
Foreign Capital ◽  
Growth Enhancement ◽  
Vector Error Correction ◽  
Vector Error ◽  
Long Run ◽  
Short Run ◽  
Foreign Capital Flows ◽  
Causality Relationship ◽  
The Impact

This study investigates the causality between FDI net inflows, exports and GDP using Vector Error Correction Model (VECM) approach. The words foreign capital flows and FDI are used interchangeably in this study. The findings from the VECM estimation technique is six fold: (1) the study revealed a long run causality relationship running from exports and GDP towards FDI, (2) the study showed a non–significant long run causality relationship running from FDI and exports towards GDP and (3) the existence of a weak long run causality relationship running from FDI and GDP towards exports in Zambia. The study also found out that no short run causality relationship that runs from FDI and exports towards GDP, short run causality running from FDI and GDP towards exports does not exist and there is no short run causality relationship running from exports and GDP towards FDI. Contrary to the theory which says that FDI brings along with it a whole lot of advantages (FDI technological diffusion and spill over effects), the current study found that the impact of FDI in Zambia is not significant in the long run. This is possibly because certain host country locational characteristics that ensures that Zambia can benefit from FDI inflows are not in place or they might be in place but still not yet reached a certain minimum threshold levels. This might be an interesting area for further research. On the backdrop of the findings of this study, the author recommends that the Zambian authorities should formulate and implement export promotion strategies and economic growth enhancement initiatives in order to be able to attract more FDI.

scholarly journals THE IMPACT OF POPULATION IMMIGRATION ON THE LABOUR MARKET OF THE UNITED KINGDOM

Ekonomika ◽  
2013 ◽  
Vol 92 (2) ◽  
pp. 64-78
Author(s):  
Gindra Kasnauskienė ◽  
Loreta Vėbraitė
Keyword(s):  
Labour Market ◽  
Linear Regression Models ◽  
Real Wages ◽  
Correction Model ◽  
Vector Error Correction ◽  
The United Kingdom ◽  
Vector Error ◽  
Short Run ◽  
The Impact ◽  
Structural Vector

Abstract. The impact of immigration on the labour market has become a very important subject of public and political debates in recent years. The aim of this study was to estimate the impact of immigration on the labour market of the United Kingdom in 1991–2010. Using a system of equations for immigration, unemployment, wage and gross domestic product, the structural vector error correction model and linear regression models were developed. The application of the structural vector error correction model has shown that immigration has a negative impact on the country’s labour market in the short run as it reduces real wages and increases unemployment. The linear regression models have indicated that immigration, ceteris paribus, negatively influencesunemployment and real wages in the long run.Key words: immigration, labour market, impact, short run, long run

THE CAUSAL RELATIONSHIP BETWEEN INSURANCE AND ECONOMIC GROWTH IN NIGERIA (1986-2010)

2012 ◽  
Vol 02 (12) ◽  
pp. 49-57
Author(s):  
TAIWO AKINLO
Keyword(s):  
Economic Growth ◽  
Interest Rate ◽  
Causal Relationship ◽  
Causality Test ◽  
Correction Model ◽  
Vector Error Correction ◽  
Vector Error ◽  
Long Run ◽  
Short Run

This study examined the causal relationship between insurance and economic growth in Nigeria over the period 1986-2010. The Vector Error Correction model (VECM) was adopted. The cointegration test shows that GDP, premium, inflation and interest rate are cointegrated when GDP is the edogeneous variable. The granger causality test reveals that there is no causality between economic growth and premium in short run while premum, inflation and interest rate Granger cause GDP in the long run which means there is unidirectional causality running from premium, inflation and interest rate to GDP. This means insurance contributes to economic growth in Nigeria as they provide the necessary long-term fund for investment and absolving risks.

Impact of Interest Rate Changes on the Profitability of four Major Commercial Banks in Pakistan

2014 ◽  
Vol 4 (1) ◽  
pp. 142 ◽  
Author(s):  
Waseem Ahmad Khan ◽  
Abdul Sattar
Keyword(s):  
Interest Rate ◽  
Interest Rates ◽  
Commercial Banks ◽  
Banking Sector ◽  
Pearson Correlation ◽  
Correlation Method ◽  
Economic Stability ◽  
Independent Variable ◽  
The Interest Rate ◽  
The Impact

The core objective of this project is to analyze the impact of interest rates changes on the profitability of commercial banks being operated in Pakistan by examining the financial statements of four major banks during 2008 to 2012. Like the efficiency of banking sector is considered most important for economic growth, monetary policy implementation and macro-economic stability. From the past few years, interest spread of banking sector of Pakistan is rising. As a result variations in the interest rate depress the savings and investment and on the other hand it increases the efficiency of banks’ lending. In this paper interest rate is an independent variable and bank profitability is a dependent variable. To examine the impact of interest rate changes on the profitability of commercial banks in Pakistan, Pearson correlation method is used in this study. As a result it is found that there is strong and positive correlation between interest rate and commercial banks’ profitability. It means if the value of interest rate is increases/decreases then as result value of banks’ profitability will also increases/decreases.

Unconventional US Monetary Policy: Impact on the Indian Economy

2021 ◽  
pp. 001946622199862
Author(s):  
Anshuman Jaswal ◽  
Bhavna Ranjan Ahuja
Keyword(s):  
Monetary Policy ◽  
Interest Rates ◽  
Correction Method ◽  
Jel Classification ◽  
Vector Error Correction ◽  
Indian Economy ◽  
Vector Error ◽  
The Us ◽  
The Usa ◽  
The Impact

This article examines the impact of the US Quantitative Easing (QE) on the Indian economy. Against the backdrop of indications of economic slowdown worldwide and developing countries lowering the interest rates and restarting the treasury purchases, it aims to understand the influence US QE had on Indian economy and how it will impact way forward. Macroeconomic variables pertaining to India and the USA were examined from September 2008 to June 2019 (fortnightly data) using the vector error correction method model. It was found that the influence of the US monetary base on the Indian money supply was far more as compared to the US policy rate. Overall, the impact of QE on the Indian economy has not been as large as on the other economies of the world due to regular RBI intervention in terms of interest rates, exchange rates and other active monetary policy measures. JEL Classification Codes: E44, E52, E58, F32, O16

scholarly journals Determinants of Household Debt in Botswana: 1994-2012

2015 ◽  
Vol 1 (1) ◽  
pp. 14 ◽  
Author(s):  
Faith M. Zimunya ◽  
Mpho Raboloko
Keyword(s):  
Interest Rates ◽  
Money Supply ◽  
Gdp Per Capita ◽  
Household Debt ◽  
Vector Error Correction ◽  
Vector Error ◽  
Long Run ◽  
Short Run ◽  
Per Capita ◽  
The Relationship

<p><em>The paper identifies the factors that are influential in determining the growth of household debt in Botswana. Understanding the relationship between household debt and other economic indicators is an important step towards formulating focused and effective policies that control the effects of household debt on the whole economy. Using quarterly data from the first quarter of 1994 to the second quarter of 2012,</em><em> </em><em>the paper employs the Vector Error Correction Model (VECM) to analyse the influence of </em><em>G</em><em>ross </em><em>D</em><em>omestic </em><em>P</em><em>roduct (GDP) per capita, interest rates, inflation, household consumption and money supply on household debt. The findings indicate that GDP per capita, interest rates and money supply determine changes in household debt in the long-run. Further analysis shows that lagged household debt, interest rates and money supply influence changes in household debt in the short-run.</em></p><p><em><br /></em></p>

scholarly journals Socially Responsible Investment And Macroeconomic Stability In South Africa: An Application Of Vector Error Correction Model

2013 ◽  
Vol 29 (6) ◽  
pp. 1623 ◽  
Author(s):  
Paul F. Muzindutsi ◽  
Tshediso J. Sekhampu
Keyword(s):  
Interest Rates ◽  
Vector Error Correction Model ◽  
Correction Model ◽  
Responsible Investment ◽  
Vector Error Correction ◽  
Vector Error ◽  
Long Run ◽  
Short Run ◽  
The Relationship ◽  
Macroeconomic Stability

<p>The study reported in this article investigated the relationship between the Social Responsible Investment (SRI) sector and macroeconomic stability in South Africa. Johansen co-integration approach and Vector Error Correction Model (VECM) were employed to test the relationship between SRI Index and a set of macroeconomic stability variables (inflation, real exchange rate, interest rates and money supply). Secondary data for the period April 2004 to December 2012 was analysed. There was a long-run association between all the variables during the period under consideration. However, the inflation rate, real effective exchange rate and money supply were not significant in predicting short-run changes in the SRI Index. A significant short-run relationship between SRI Index and the difference between long term and short-term interest rates (term structure) was observed. Macroeconomic variables are significant in explaining the behavior of the South African SRI sector in the long-run.</p>

Who Leads the Australian Interest Rates in the Short and Long Run? An Application of Long Run Structural Modelling

2006 ◽  
Vol 09 (01) ◽  
pp. 1-24 ◽  
Author(s):  
A. Mansur M. Masih ◽  
Trent Winduss
Keyword(s):  
Interest Rates ◽  
Structural Model ◽  
Policy Makers ◽  
Vector Error Correction ◽  
Vector Error ◽  
Long Run ◽  
Trading Partners ◽  
Short Run ◽  
Variance Decompositions ◽  
The Uk

The focus of this paper is to test the cointegrating and Granger-causal relationships between Australian short-run interest rate securities and those of the UK, US, Japan, Hong Kong, Singapore and New Zealand. A relatively new methodology known as Long Run Structural Model (LRSM) (Pesaran and Shin, 2002) followed by vector error-correction model, generalized variance decompositions, generalized impulse response, and persistence profile have been used. The findings tend to suggest that Australia's short-term interest rates are cointegrated with those of its major trading partners. The results of this paper indicate that the ability of Australian policy makers to target and manipulate domestic interest rates may be limited and that they should look to the policy decisions of the US and Japan in particular when setting domestic policy.

Nexus Between Interest Rate Risk and Economic Value of Equity of Banks

2021 ◽  
pp. 097215092110394
Author(s):  
Soundariya G. ◽  
Treesa Aleena David ◽  
Suresh G.
Keyword(s):  
Interest Rate ◽  
Interest Rates ◽  
Banking Sector ◽  
Economic Value ◽  
Impulse Response Function ◽  
Interest Rate Risk ◽  
Vector Error Correction ◽  
Market Risks ◽  
Rate Risk ◽  
The Impact

This analytical study looks to provide recommendations to the banking sector on different policies and regulations by examining certain aspects of the Basel III accord, which was designed to manage specific operational, capital and market risks of banks. A review of extant literature reveals that only a few papers have been written on simulation-based approaches, using basis and re-pricing risks. We look to connect this as a source while attempting to define and measure the impact of interest rate risk (IRR) on the economic value of equity (EVE) of banks. We propose to use the driver—driven method, wherein interest rate shocks are derived through prime lending rate (PLR) for the period of 2016–2019 in the context of India. Monte Carlo Simulation and OLS regression was performed to predict the IRR; Granger causality was used to examine the cause and effect relationship; the impulse response function (IRF) was used for sensitivity analysis; and the vector error correction model (VECM) technique was used for co-integrating relationships. Notably, the EVE movement caused due to shocks in interest rates had to be traced as it envisages probable EVE losses. Importantly, our study is among the first few to show the relationship between IRR and EVE of banks, especially after the deregulation of Indian banking sector.

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