Assessing the impact of monetary fundamentals on exchange rate fluctuations a Bayesian network approach

2019 ◽  
Vol 15 (1) ◽  
pp. 166-181
Author(s):  
Sahar Charfi ◽  
Salah BenHamad ◽  
Afif Masmoudi
Keyword(s):  
Exchange Rate ◽  
Bayesian Network ◽  
Money Supply ◽  
Inflation Rate ◽  
Granger Causality Test ◽  
Causality Test ◽  
Content Type ◽  
Exchange Rate Fluctuations ◽  
Bayesian Network Modeling ◽  
Rate Behavior

Purpose The purpose of this paper is to analyze how monetary fundamentals affect exchange rate movements. Design/methodology/approach To develop this paper, a Bayesian Network modeling is applied to explore the causal interactions between monetary fundamentals and exchange rate fluctuations. Subsequently, a sensitivity analysis is performed to asses and estimate exchange rate behavior with uncertain monetary fundamentals. Furthermore, a Granger Causality test is used as suggested in the Econometric literature to determine the causality direction among factors. Findings The empirical findings show that money supply and interest rate have a significant positive effect on exchange rate, whereas inflation rate has a considerable negative effect on exchange rate. In addition, the authors deduce that real income has an indirect impact on exchange rate and a direct impact on inflation rate, interest rate and money supply. Furthermore, the sensitivity analysis shows that monetary uncertainty has a considerable effect on exchange rate fluctuations. Moreover, the Granger Causality test reveals that there is a unique unidirectional causality running from money supply to exchange rate. Practical implications The model can be considered as a vital management tool for international investors and financial analysts to explore the effect of monetary fundamentals on exchange rate behavior. It allows estimating exchange rate fluctuations with uncertain monetary factors. Originality/value This study is the first one which applied a Bayesian Network modeling to examine the exchange rate determination problem. Results of this research are presented under a clear graphical representation that can be easily useful by monetary policymakers and international traders to determine the influential monetary factors on exchange rate behavior. Also, the model will help them in estimating the effect of monetary uncertainty on exchange rate fluctuations.

Cross-border merger and acquisition activities in Asia: the role of macroeconomic factors

2018 ◽  
Vol 35 (2) ◽  
pp. 307-329 ◽  
Author(s):  
Yusnidah Ibrahim ◽  
Jimoh Olajide Raji
Keyword(s):  
Exchange Rate ◽  
Interest Rate ◽  
Money Supply ◽  
Inflation Rate ◽  
Merger And Acquisition ◽  
The Philippines ◽  
Macroeconomic Factors ◽  
Content Type ◽  
Cross Border ◽  
Asean Countries

Purpose This paper aims to examine the influence of key macroeconomic factors on the inward and outward acquisition activities of six ASEAN (ASEAN: Association of Southeast Asian Nations) countries, namely, Indonesia, Malaysia, the Philippines, Singapore, Thailand and Vietnam, over the 1996-2015 period. Design/methodology/approach The study uses alternative panel data methods, including pooled mean group, mean group and dynamic fixed-effect estimators. Findings The results indicate that gross domestic product (GDP), interest rate, exchange rate, money supply and inflation rate are the most important macroeconomic factors explaining the trends of cross-border mergers and acquisition outflows of the ASEAN-6 countries. Specifically, GDP, money supply and inflation rate have significant positive relationships with acquisition outflows, while interest rate and exchange rate exert significant negative influence. On the other hand, the authors find four significant macroeconomic factors explaining the trends of the inward acquisitions. Essentially, GDP, money supply and inflation rate have significant positive impacts on inward acquisitions, while the impact of exchange rate is negatively significant. Research limitations/implications Unavailability of data limits this study to pool six sample countries from ASEAN, instead of ten representative member countries. Practical implications The results of this study can signal to firms or investors, involving in cross-border mergers and acquisitions, where to direct foreign resources flows. Moreover, having the knowledge about the relative levels of market size and other macroeconomic factors in both home and host countries can be of great importance for investment decision. Therefore, policymakers of ASEAN countries should make appropriate macroeconomic policies that can stimulate inward and outward acquisitions. Originality/value The main contribution of this paper is that it is the first to present the analysis of macroeconomic influences on the trends of inward and outward merger and acquisition activities in six ASEAN countries.

Dynamic linkages among international crude oil, exchange rate and Norwegian stock market: evidence from ARDL bound testing approach

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Shelly Singhal ◽  
Sangita Choudhary ◽  
Pratap Chandra Biswal
Keyword(s):  
Exchange Rate ◽  
Stock Market ◽  
Crude Oil ◽  
Granger Causality ◽  
Granger Causality Test ◽  
Oil Price ◽  
Causality Test ◽  
Content Type ◽  
Long Run ◽  
Integration Test

Purpose The purpose of this paper is to examine the long-run association and short-run causality among oil price, exchange rate and stock market in Norwegian context. Design/methodology/approach This work uses auto regressive distributed lag (ARDL) bound co-integration test to examine the long-run association among international crude oil, exchange rate and Norwegian stock market. Further to test the causality, Toda–Yamamoto Granger causality test is used. Daily data ranging from 1 January, 2011 to 31 December, 2018 is used in this study. Findings Findings of this study suggest the existence of long-run equilibrium relationship among oil price, exchange rate and Norwegian stock market when oil price is taken as dependent variable. Further, this study observes the bi-directional causality between Norwegian stock market and exchange rate and unidirectional causality between oil and Norwegian stock market (from oil to stock market). Originality/value To the best of the authors’ knowledge, this the first study in context of Norway to explore the long-run association and causal relationships among international crude oil price, exchange rate and stock market index. Particularly, association of exchange rate and stock market largely remains unexplored for Norwegian economy. Further, majority of studies conducted in Norwegian setup have considered the period up to year 2010 and association of these variables is found to be time varying. Finally, this study uses ARDL bound co-integration test and Toda–Yamamoto Granger causality test. These methodologies have been used in literature in context of other countries like India and Mexico but not yet applied to study the Norwegian case.

scholarly journals Impact of socioeconomic development on inflation in South Asia: evidence from panel cointegration analysis

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Md. Saiful Islam
Keyword(s):  
Exchange Rate ◽  
South Asia ◽  
Money Supply ◽  
Foreign Exchange ◽  
Socioeconomic Development ◽  
Foreign Exchange Rate ◽  
Causality Test ◽  
Content Type ◽  
Inflationary Pressure ◽  
Practical Implications

Purpose This study aims to examine the influence of socioeconomic development on inflation in South Asia using the foreign exchange rate and money supply as control variables. Design/methodology/approach The study uses annual panel data for five South Asian economies, namely, Bangladesh, India, Nepal, Pakistan and Sri Lanka over the period 1990–2018, applies cointegrating regression techniques, namely, the panel dynamic ordinary least square (OLS) and fully modified OLS estimators to examine the long-run relations and conducts the Toda-Yamamoto Granger causality test to detect the direction of causality among variables. Findings The cointegrating regression estimations have documented that the socioeconomic development proxied by the human development index (HDI) has no significant impact on inflation. Although economic development represented by gross domestic product (GDP) growth causes inflation, socioeconomic development represented by HDI has no impact on inflation and has demonstrated as a better macroeconomic indicator, and thus creates no inflationary pressure in the economy. The foreign exchange rate has a positive impact on inflation. The broad money supply has the usual positive effect on domestic inflation that endorses the monetarist view about prices. The Toda-Yamamoto Granger causality test has confirmed several unidirectional causalities: inflation causes HDI, money supply causes both inflation and HDI and the foreign exchange rate causes HDI. Practical implications The study has practical implications for policymakers in South Asia, to improve HDI, particularly GDP per capita, education and health-care facilities to realize continuous socioeconomic development, which will take care of inflation. Moreover, these counties may follow a conservative monetary policy to control inflationary pressure in their economies. Originality/value The study is original and claims to be the first to examine the impact of socioeconomic development on inflation. The findings have socioeconomic values regarding controlling inflation in South Asia.

scholarly journals Kausalitas Ekspor Indonesia ke Tiongkok dengan Inflasi Indonesia, Suku Bunga Dasar Tiongkok, dan Nilai Tukar Indonesia

2018 ◽  
Vol 6 (4) ◽  
pp. 475-482
Author(s):  
Teddy Aldwin Leonard
Keyword(s):  
Exchange Rate ◽  
Interest Rate ◽  
Granger Causality ◽  
Inflation Rate ◽  
Granger Causality Test ◽  
Test Results ◽  
Causality Test ◽  
Causality Relationship ◽  
The Exchange Rate

Tujuan penelitian ini adalah mengetahui hubungan kausalitas antara total nilai ekspor Indonesia ke Tiongkok dengan tingkat suku bunga Tiongkok, tingkat inflasi Indonesia, dan nilai tukar Rupiah Indonesia terhadap Yuan China. Penelitian ini menggunakan uji kausalitas granger dengan variabel total nilai ekspor Indonesia ke Tiongkok, tingkat inflasi Indonesia, tingkat suku bunga dasar Tiongkok, dan nilai tukar Rupiah Indonesia terhadap Yuan China untuk melihat hubungan kausalitas antar variabel. Hasil uji kausalitas granger menunjukkan hasil bahwa total nilai ekspor Indonesia ke Tiongkok memiliki hubungan satu arah dengan variabel tingkat suku bunga Tiongkok dan variabel nilai tukar Rupiah Indonesia terhadap Yuan China, namun tidak terdapat hubungan kausalitas dengan variabel tingkat inflasi Indonesia. Hubungan satu arah antara total nilai ekspor Indonesia ke Tiongkok dengan tingkat suku bunga Tiongkok adalah total nilai ekspor Indonesia ke Tiongkok menyebabkan perubahan tingkat suku bunga Tiongkok, sedangkan hubungan satu arah antara total nilai ekspor Indonesia ke Tiongkok dengan nilai tukar Rupiah Indonesia terhadap Yuan China adalah nilai tukar Rupiah Indonesia terhadap Yuan China menyebabkan perubahan total nilai ekspor Indonesia ke Tiongkok. The purpose of this study is to know the causality relationship between the total value of Indonesia's exports to Tiongkok with Tiongkok's interest rate, the inflation rate of Indonesia, and the exchange rate of Indonesian Rupiah against the Yuan China. This study uses granger causality test with total variable of Indonesian export value to Tiongkok, Indonesia inflation rate, interest rate of Tiongkok, and Indonesian Rupiah exchange rate to Yuan China to see the relation of causality among variables. Granger causality test results show that the total value of Indonesia's export to Tiongkok has unidirectional relationship with variable of Tiongkok interest rate and variable of Indonesian Rupiah exchange rate to Yuan China, but there is no causality relationship with Indonesian inflation rate variable. The unidirectional relationship between the total value of Indonesia's exports to Tiongkok and the Tiongkok interest rate is the total value of Indonesia's exports to Tiongkok causing a change in the Tiongkok interest rate, while the unidirectional relationship between the total value of Indonesia's exports to Tiongkok and the Indonesian rupiah against the Yuan China is the value The Indonesian rupiah exchange rate against the Yuan China led to a change in the total value of Indonesia's exports to Tiongkok

A dynamic regression panel approach to the determinants of monetary policy and economic growth

2019 ◽  
Vol 10 (3) ◽  
pp. 385-399
Author(s):  
Ebenezer Gbenga Olamide ◽  
Andrew Maredza
Keyword(s):  
Economic Growth ◽  
Monetary Policy ◽  
Exchange Rate ◽  
Money Supply ◽  
Inflation Rate ◽  
Commodity Prices ◽  
Series Data ◽  
Content Type ◽  
Dynamic Panel Regression ◽  
Economic Bloc

Purpose Empirically, the purpose of this paper is to investigate policy variables that determine monetary policy and economic growth of some selected countries within the economic bloc of Southern Africa Development Community (SADC). The selected countries are Botswana, Democratic Republic of Congo, Lesotho, Madagascar, Malawi, Mozambique, Namibia, South Africa, Swaziland, Zambia and Zimbabwe. Design/methodology/approach Annual time series data for a panel of 11 Southern African countries spanning 1980–2015 were employed in the study. The major instrument of estimation is the dynamic regression panel model. In order to conform to econometric principles, robustness checks were carried out on the variables of interest so as to avoid spurious results. An estimation of impulse response and variance decomposition analyses were to complement the approach to the study. Findings The result of the long-run dynamic panel regression reveals that GDP growth rate, inflation rate, exchange rate, money supply and oil and commodity prices do have profound impact on monetary policy within SADC. It was further revealed from the study that commodity price shock is the major exogenous determinant of monetary policy dynamics and the effect is transmitted via exchange rate channel to macroeconomics of the region; with inflation rate and money supply playing a major role in the transmission mechanism as it affects the economies of the countries in this region. Practical implications The policy implication is that inflation is seen as a major challenge to the countries under review. Among other things, a hybrid of inflation and monetary targeting should be adopted to complement each other as policy combination within the region. Originality/value The study accounts for the determinants of monetary policy vis-à-vis growth potentials of some selected countries in SADC, using a combination of dynamic regression panel approach and SVAR elements.

Why export competitiveness differs within Indian textile industry? Determinants and empirical evidence

2020 ◽  
Vol 30 (3) ◽  
pp. 375-397 ◽  
Author(s):  
Rahul Dhiman ◽  
Vinod Kumar ◽  
Sudhir Rana
Keyword(s):  
Exchange Rate ◽  
Granger Causality ◽  
Textile Industry ◽  
Granger Causality Test ◽  
Real Effective Exchange Rate ◽  
Causality Test ◽  
Content Type ◽  
Long Run ◽  
Integration Test ◽  
Export Competitiveness

Purpose This study aims to examine whether export competitiveness (EC) in the two groups of the Indian textile industry i.e. “textiles” and “textile products” group differ. Design/methodology/approach The study examines how exchange rate (ER), real effective exchange rate (REER) and EC of both the groups are related in the long run over the period 1991-1992 to 2018-2019 using Granger causality test and Johansen and Juselius co-integration test. Findings The study confirms that EC is a challenge that needs to be addressed to sustain in the international market, as the volatile trend can be found for EC in both groups. The econometric framework shedding light on both groups of the textile industry suggest that select determinants have different relationships with the EC for two groups. The findings of the Granger causality test reveal that the presence of unidirectional causality running from ER to EC in the case of both the groups. Also, the select variables are found to be co-integrated in the long run. However, in the case of REER, no causality is found running from REER to EC. Originality/value ER is a vital determinant of EC and exporters can sustain competitiveness in global markets by reducing their profit mark-up in the face of an appreciating currency.

scholarly journals External Debt Burden and Infrastructural Development Nexus in Nigeria: An ARDL Approach (1981-2020)

2021 ◽  
Author(s):  
Chinonye Emmanuel Onwuka
Keyword(s):  
Exchange Rate ◽  
Interest Rate ◽  
Inflation Rate ◽  
External Debt ◽  
Granger Causality Test ◽  
Causality Test ◽  
Debt Burden ◽  
Infrastructural Development ◽  
Long Run ◽  
Domestic Debt

Abstract This study focused on external debt burden and infrastructural development nexus in Nigeria using data spanning between the periods 1981 to 2020 by employing the use of Autoregressive Distributed Lag Model (ARDL) and granger causality test as the major statistical techniques of analysis. From the findings, the coefficient of error correction term shows that about 70 percent of the discrepancy between the actual and the long run or equilibrium value of infrastructural development is corrected or eliminated each year. The coefficient of determination (R2) is 0.680 which shows that about 68 percent variations in the infrastructural development were explained by the independent variables. The Augmented Dickey Fuller (ADF) unit root test shows that all variables were stationary at first difference. The results for the Bounds test reveal that there is a long run relationship among the variables. This is because the F-statistics value (5.194) is greater than upper Bounds critical values at 5% level of significant. The ARDL results show that external debt, domestic debt and inflation rate have a negative impact on infrastructural development in the long run while exchange rate and interest rate has a positive effect on infrastructural development in the long run. Also, domestic debt and exchange rate were found to have a significant impact on infrastructural development while external debt, inflation rate and interest rate were found to be insignificant in the long run. Furthermore, the granger causality test results indicate while there is no causality between external debt and infrastructural development, there seems to be a unidirectional causality between domestic debt and infrastructural growth in Nigeria. The study concludes that federal government of the country should cut down excessive borrowings and that the existing ones are invested in projects that would eventually generate enough returns to defray such debts accordingly. Also, an adoption of policy framework that will ensure macroeconomic stability such as price stability, job creation, increased output, political stability, etc. becomes fundamental in getting rid of heavy reliance on external debt in the country.

The relationship between financial development and economic growth in Eswatini (formerly Swaziland)

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Siphe-okuhle Fakudze ◽  
Asrat Tsegaye ◽  
Kin Sibanda
Keyword(s):  
Economic Growth ◽  
Granger Causality ◽  
Financial Development ◽  
Granger Causality Test ◽  
Causality Test ◽  
Content Type ◽  
Distributed Lag ◽  
Long Run ◽  
Short Run ◽  
The Relationship

PurposeThe paper examined the relationship between financial development and economic growth for the period 1996 to 2018 in Eswatini.Design/methodology/approachThe Autoregressive Distributed Lag bounds test (ARDL) was employed to determine the long-run and short-run dynamics of the link between the variables of interest. The Granger causality test was also performed to establish the direction of causality between financial development and economic growth.FindingsThe ARDL results revealed that there is a long-run relationship between financial development and economic growth. The Granger causality test revealed bidirectional causality between money supply and economic growth, and unidirectional causality running from economic growth to financial development. The results highlight that economic growth exerts a positive and significant influence on financial development, validating the demand following hypothesis in Eswatini.Practical implicationsPolicymakers should formulate policies that aims to engineer more economic growth. The policies should strike a balance between deploying funds necessary to stimulate investment and enhancing productivity in order to enliven economic growth in Eswatini.Originality/valueThe study investigates the finance-growth linkage using time series analysis. It determines the long-run and short-run dynamics of this relationship and examines the Granger causality outcomes.

scholarly journals EFECT OF FOREIGN EXCHANGE RATE FLUCTUATIONS ON NIGERIAN ECONOMY

10.26458/1814 ◽  
2018 ◽  
Vol 18 (1) ◽  
pp. 105-122
Author(s):  
Lawrence Olisaemeka UFOEZE ◽  
Camilus OKUMA, N. ◽  
Clem NWAKOBY ◽  
Udoka Bernard Alajekwu
Keyword(s):  
Economic Growth ◽  
Exchange Rate ◽  
Money Supply ◽  
Significant Positive Effect ◽  
Exchange Rate Fluctuations ◽  
Fixed Exchange Rate ◽  
Oil Revenue ◽  
Time Period ◽  
Negative Effect ◽  
Positive Effect

This study investigated the effect of exchange rate fluctuations on Nigerian economy. The fixed and floating exchange eras were compared to know the exchange rate system in which the economy has fairly better. The time period covered was 1970 to 2012. The study employed the ordinary least square (OLS) multiple regression technique for the analysis. The coefficient of determination (R2), F-test, t-test, beta and Durbin-Watson were used in the interpretation of the results. The resulted revealed that about 85% of the changes in macroeconomic indicators are explained in the fixed exchange era. In the floating exchange era, 99% was explained while the whole periods has 73% explanatory power, hence the floating exchange era (1986 to date) is more effective in explaining economic trend in Nigeria. Also, exchange rate has significant positive effect on GDP during the fixed exchange rate era and negative effect the eras floating and all-time; inflation has insignificant negative effect on GDP during the fixed exchange era; significant effect in floating era and significant negative effect in the all-time period; money supply has insignificant negative effect GDP in fixed exchange era; and significant positive effect during the floating and all-time period; and oil revenue has significant positive effect on the GDP in all the exchange rate regimes (floating, fixed and all-time) in Nigeria.  The study thus conclude that exchange rate movement is a good indicator for monitoring Nigerian economic growth. So far exchange rate has always been a key economic indicator for Nigeria. The floating exchange period has outperformed the fixed exchange rate in terms of contribution inflation, money supply and oil revenue to economic growth. This indicate that the floating exchange rate has been a better economic regime for sustainable economic growth in Nigeria. From the findings, it is evident that oil revenue has positive effect in Nigeria and has remained the mainstay of the economy. It is thus recommended among other things that a positive exchange rate stock should be monitored regularly, so as not to allow those that find exchange rate as an avenue of investment like banks and public carry out their business, which is more devastating to the economy. 

scholarly journals VECTOR AUTOREGRESSIVE APPROACH AFTER FIRST DIFFERENCING: A TIME SERIES ANALYSIS OF INFLATION AND ITS DETERMINANTS IN TANZANIA

2021 ◽  
pp. 43-56
Author(s):  
Rachel R. Cheti ◽  
Bahati Ilembo
Keyword(s):  
Time Series ◽  
Exchange Rate ◽  
Gross Domestic Product ◽  
Money Supply ◽  
Inflation Rate ◽  
Negative Impact ◽  
Causal Effect ◽  
Domestic Product ◽  
Series Data ◽  
Vector Autoregressive

The objective of the study was to examine the trend of inflation and its key determinants in Tanzania. We used secondary time series data observed annually from January 1970 to 2020 which are inflation rate, GDP, Exchange rate and money supply. The vector autoregressive (VAR) model was employed for modeling. Augmented Dickey-Fuller test (ADF) found that inflation rate, Gross Domestic Product (GDP), exchange rate and Money supply (M3) were initially non-stationary but they became stationary after first differencing so as to proceed with the analysis. Preliminary tests before obtaining vector auto regressive model were carried out before determining the relationship between the variables. Diagnostic test such as serial correlation, heteroscedasticity, stability and normality were also important to evaluate the model assumptions and investigate whether or not there are observations with a large, undue influence on the analysis. We used Granger causality test (GCT) to determine causal- effect relationship between the variables. The results show that, there is a long run relationship between the variables, also the results showed that exchange rate and money supply (M3) both have a positive impact on inflation rate while gross domestic product (GDP) revealed a negative impact on inflation rate. Finally, the forecast of inflation rate for 15 years ahead was performed. The study recommends that the government should pursue both contractionary monetary policy and fiscal policy in order to control inflation in the country.

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