scholarly journals Markov-Switching Vector Autoregressive Modelling (Intercept Adjusted); Application to International Trade and Macroeconomic Stability in Nigeria (2000M1–2019M6)

2021 ◽  
pp. 41-57
Author(s):  
Tuaneh, Godwin Lebari ◽  
Essi, Isaac Didi
Keyword(s):  
International Trade ◽  
Exchange Rate ◽  
Inflation Rate ◽  
Markov Switching ◽  
Total Export ◽  
Series Data ◽  
Total Import ◽  
Vector Autoregressive ◽  
Duration Of Stay ◽  
Macroeconomic Stability

Economic relationships are often modelled without consideration of a possible regime switch, the transmission from one regime to another and the duration of stay in a particular regime which are not captured by linear models. This study aimed to model and estimate the interdependence existing among Nigeria’s International Trade and Macroeconomic Stability. Specifically, this study sought to estimate and compare the estimated Models, select the best Model and determine the probabilities of stay, the expected duration of stay in a particular regime. The study adopted a quasi-experimental design. Time series data on the study variables from January 2000 to June 2019 were obtained from the Statistical Bulletin of the Central Bank of Nigeria. Models were specified accordingly, the statistical analyses were carried out using the Markov Switching Intercept Vector Autoregressive Models, the pre and post-diagnostic tests were also conducted. The unit root test results showed I (1). VAR lag length selection criteria choose lag 2. The MS-VAR analysis identified two regimes (expansion and contraction), the information criteria selected the Markov-Switching Intercept Autoregressive Heteroschedastic 2 Variance Auto-regression 2 [MSIARH (2) - VAR (2)]. The MS-VAR results in regime 1 showed that lags 1 and 2 of total export significantly affected total export and total import, Lags 1 and 2 of total import had significant effects on exchange rate while lags 1 of exchange rate and lags 1 and 2 of exchange rate had significant effects on inflation rate. In Regime 2, lag 1 of total export and lag 2 of exchange rate had significant effects on total export. Only lag 2 of inflation rate had significant effects on exchange rate while lag 2 of total export and lags 1 and 2 of exchange rate had significant effects on the inflation rate. The results also showed an 89% probability of staying in regime 1 for a duration of 8 months 8 days and 57% probability of staying in regime 2 for 2 months 10 days. It was concluded that the MSIARH (2) - VAR (2). It was recommended that the right-hand side variables should be tested for endogeneity before concluding on single or system equation. It was also recommended that the possibility of regimes should be verified before concluding on linear or nonlinear models.

scholarly journals Dynamic Linear Interdependence between International Trade and Macroeconomic Stability in Nigeria: A Vector Error Correction Modelling.

2021 ◽  
Vol 9 (12) ◽  
pp. 65-90
Author(s):  
Godwin Lebari Tuaneh ◽  
Isaac Didi Essi ◽  
C Johnbosco Ozigbu
Keyword(s):  
International Trade ◽  
Exchange Rate ◽  
Error Correction ◽  
Inflation Rate ◽  
Total Export ◽  
Test Results ◽  
Total Import ◽  
Vector Error Correction ◽  
Vector Error ◽  
Right Hand

Causal relationships are often treated erroneously in isolation as a single equation without the consideration of the endogeneity of right-hand side variables and also without recourse to the presence of coco-integration. This study modelled and estimated the dynamic linear interdependence between international trade and macroeconomic stability in Nigeria. The specific objectives were to, establish the trend of the study variables, model and estimate the interdependence existing among total export, total import, exchange rate, and inflation rate, determine the significant causalities and summarize the causal channels among the study variables. The study used the quasi-experimental design. The study used monthly time series data which span from January, 2000 to June, 2019. The data on all the variables were sourced from the Central Bank of Nigeria Statistical Bulletin. Appropriate models were specified in line with the objectives. The study used the Vector Error Correction Models, the pre and post-diagnostic tests were also conducted.  The unit root test results showed that the variables were integrated of order one [I(1)]. The co-integration test results showed 1 co-integrating equation and VAR lag length selection criteria choose lag 2. The Vector Error Correction Result showed that inflation rate was the most explained by variations in the independent variables (R2 =73.4%) while exchange Rate was the least explained (R2 =18.8%), the total export model had R2 =53.8% and total import model had (R2 =59.2%. Significant bi-directional causality was found between total export and inflation rate, and also between total import and inflation rate. There was also significant joint causality on total import and also on exchange rate. The post test showed that the models were stable. It was recommended that the right-hand side variables should be tested for endogeneity before concluding on single or system equation. It was also recommended that policies to check inflation rate should consider possibility of shocks to international trade.

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.

scholarly journals International Trade and Economic Misery in African Countries with Low Human Development

2021 ◽  
Vol 2 (4) ◽  
pp. 212-243
Author(s):  
Uchechukwu C. Nwogwugwu ◽  
Collins C. Umeghalu
Keyword(s):  
Growth Rate ◽  
International Trade ◽  
Exchange Rate ◽  
Trade Agreements ◽  
Balance Of Payments ◽  
Total Export ◽  
Manufacture Export ◽  
African Countries ◽  
Gdp Growth Rate ◽  
Per Capita

Puzzled by the demeaning level of poverty most African countries continue to grapple with despite their extensive participation in international trade, the study attempts to examine the encumbrances that tend to impede African countries from optimally reaping the developmental gains inherent in partaking in international trade, which seems to also worsen the economic misery the inhabitants endlessly contend with. The System Generalized Method of Moments (System-GMM) estimation technique was used in the study which involves 17 African countries and spans from 1995 - 2018. While misery index is used to measure economic misery, the impact of international trade on economic misery is captured by means of its effect via economic misery, economic growth rate, balance of payment, total export, manufacture export and exchange rate. The results of the study reveal that balance of payments, total export, manufacture export, per capita GDP growth rate, exchange rate and lagged form of economic misery all have positive effect on economic misery. While the effects of total export, manufacture export, per capita GDP growth rate, and exchange rate on economic misery are significant, those of balance of payments and lagged form of economic misery are insignificant. While the study recommends that international trade be engaged strategically such that it results in favourable balance of payments, it also encourages the discarding of obsolete trade policies such as outright bans on importation of certain commodities. Bilateral trade agreements are recommended over multilateral trade agreements, since they are more mutually beneficial and binding on the parties involved

scholarly journals The Impact of Macroeconomic Variables on Sectoral Indices in Indonesia

ETIKONOMI ◽  
2017 ◽  
Vol 16 (1) ◽  
pp. 71-80 ◽  
Author(s):  
Bambang Sutrisno
Keyword(s):  
Exchange Rate ◽  
Interest Rate ◽  
Inflation Rate ◽  
Emerging Market ◽  
Estimation Method ◽  
Least Square ◽  
Series Data ◽  
Macroeconomic Variables ◽  
The Interest Rate ◽  
The Impact

This study aims to examine the effect of macroeconomic variables on sectoral indices in the Indonesian Stock Exchange. The difference in sensitiveness among sectors is an interesting issue to investigate this relationship in an emerging market, such as Indonesia. This study employs ordinary least square (OLS) as an estimation method with monthly time-series data from January 2005 to December 2014. The results document that the interest rate, inflation rate, and exchange rate simultaneously have a significant effect on sectoral indices in Indonesia. The interest rate partially shows a significant negative influence on all sectors except basic industry and chemical, finance, infrastructure, utilities, and transportation, and miscellaneous industry sectors. The inflation rate partially has no significant effect on all sectors. The exchange rate partially has a significant negative impact on all industries.DOI: 10.15408/etk.v16i1.4323

scholarly journals Analysis of Effect Macro Variable on International Trade of Indonesia

2016 ◽  
Vol 6 (2) ◽  
pp. 228
Author(s):  
Evania Rahma Octavia ◽  
Dwi Wulandari
Keyword(s):  
International Trade ◽  
Exchange Rate ◽  
Interest Rates ◽  
Money Supply ◽  
Price Index ◽  
Time Series Data ◽  
Consumer Price Index ◽  
Series Data ◽  
The Exchange Rate ◽  
Macro Variables

This study aims to determine the effect of macro variables which include Indonesia's real gross domestic income, money supply, consumer price index and interest rates on international trade mediated by the exchange rate of rupiah against the dollar. This type of research is descriptive research with quantitative approach. Determination of the sample based on quarterly time series data 2010-2014. This study uses path analysis. The results showed domestic gross product, the money supply, and interest rates together  have a significant effect on the exchange rate but the consumer price index do not have significant effect on the exchange rate. The results also show that the exchange rate has no significant effect on imports and exports. 

DO EXCHANGE RATE CHANGES HAVE SYMMETRIC OR ASYMMETRIC EFFECTS ON INTERNATIONAL TRADE INTEGRATION?

2019 ◽  
Vol 14 (03) ◽  
pp. 1950013
Author(s):  
SURESH KUMAR OAD RAJPUT ◽  
NIAZ HUSSAIN GHUMRO ◽  
NADIA ANJUM
Keyword(s):  
International Trade ◽  
Exchange Rate ◽  
Negative Impact ◽  
Real Effective Exchange Rate ◽  
Series Data ◽  
Trade Integration ◽  
Asymmetric Effects ◽  
Long Run ◽  
Short Run ◽  
Exchange Rate Changes

This paper investigates whether exchange rate changes have symmetric or asymmetric effects on international trade integration, using quarterly time series data from 1980: Q1 till 2018: Q2. The recent innovation in cointegration techniques allows us to estimate nonlinear effects. We apply both linear autoregressive distributed lags (ARDL) and nonlinear ARDL models. The empirical results indicate that asymmetric relationship exists between exchange rate (REER) and international trade integration (ITI) in the short-run as well as in the long-run, meaning that real effective exchange rate has negative and statistically significant effects on international trade integration. Robustness checks indicate no role of various crisis including GFC on the relationship between ITI and REER, however, regime change has significantly negative impact in short-run and positive in long-run on ITI. The results are important because when we separate currency appreciation from the depreciation, it has the significant and different effects on international trade integration.

scholarly journals THE EXCHANGE RATE REGIME AND INTERNATIONAL TRADE: EVIDENCE FROM GHANA

2021 ◽  
pp. 1-8
Author(s):  
Adubofour Isaac
Keyword(s):  
International Trade ◽  
Exchange Rate ◽  
Foreign Trade ◽  
Electric Power ◽  
Time Series Data ◽  
Labour Force ◽  
Series Data ◽  
Inverse Association ◽  
The Impact ◽  
The Relationship

The degree of fluctuation of a country’s currency in relation to other currencies is an important factor in determining her foreign trade position. The study employed both theoretical and empirical approaches to examine Ghana’s real exchange rate and the impact on her foreign trade. A time series data, spanning from 1991 to 2019 was analyzed in an attempt to establish the relationship between exchange rate and economic growth. It is argued in the study that exchange rate has impact on a country’s export volumes. A verification on the relationship between labour force and international trade was also conducted. The study was also extended to examining the impact of a country’s access to stable electric power on export volumes. Findings of the study revealed a statistically significant and inverse association existing between exchange rate and international trade. The study also found that, wide electricity coverage has statistically significant and direct effect on foreign trade, resulting from an increased production capacity due to the availability of electric power. The study however found no suggestive evidence to support the claim that, labour force has impact on her foreign trade. A test on granger causality found no causal linkage between the variables. KEYWORDS: Exchange rate, international trade, labour force, exports.

scholarly journals An Econometric Analysis of the Relationship between Changes in Government Bonds, Exchange Rate and Inflation Dynamics in South Africa

2018 ◽  
Vol 10 (4(J)) ◽  
pp. 165-173
Author(s):  
Sanusi K A ◽  
Meyer D F
Keyword(s):  
South Africa ◽  
Exchange Rate ◽  
Empirical Analysis ◽  
Inflation Rate ◽  
Series Data ◽  
Government Bond ◽  
Government Bonds ◽  
Depth Analysis ◽  
The Exchange Rate ◽  
The Empirical Analysis

The study examined the dynamic interaction between government bonds, exchange rate and inflation in South Africa. The study follows a quantitative research method, using monthly time series data from 2007 to 2017 within the framework of a Vector Autoregressive Analysis (VAR). Evidence from the empirical analysis shows that government bond accounts for significant variation in the exchange rate and inflation rate within the study period. The causality test also suggests the presence of uni-directional causal relationships from government bonds to exchange rate, and also to the inflation rate. The principal conclusion that emanates from the empirical analysis is that government bonds are an important policy instrument in the management of the exchange rate and the inflation rate in South Africa. The study recommends that the South African Reserve Bank is a coordinator of government bond and should carry out an in-depth analysis of the economic conditions before issuing the government bonds, taking into account its impeding effects on the exchange rate and inflation rate and many other macroeconomic variables. 

scholarly journals A Study of Intercept Adjusted Markov Switching Vector Autoregressive Model in Economic Time Series Data

2013 ◽  
Vol 5 (8) ◽  
pp. 379-384
Author(s):  
Seuk Wai ◽  
Mohd Tahir Ismail . ◽  
Siok Kun Sek .
Keyword(s):  
Time Series ◽  
Time Series Data ◽  
Markov Switching ◽  
Stock Index ◽  
Smooth Transition ◽  
Series Data ◽  
Var Model ◽  
Economic Time Series ◽  
Vector Autoregressive ◽  
Economic Time

Commodity price always related to the movement of stock market index. However real economic time series data always exhibit nonlinear properties such as structural change, jumps or break in the series through time. Therefore, linear time series models are no longer suitable and Markov Switching Vector Autoregressive models which able to study the asymmetry and regime switching behavior of the data are used in the study. Intercept adjusted Markov Switching Vector Autoregressive (MSI-VAR) model is discuss and applied in the study to capture the smooth transition of the stock index changes from recession state to growth state. Results found that the dramatically changes from one state to another state are continuous smooth transition in both regimes. In addition, the 1-step prediction probability for the two regime Markov Switching model which act as the filtered probability to the actual probability of the variables is converged to the actual probability when undergo an intercept adjusted after a shift. This prove that MSI-VAR model is suitable to use in examine the changes of the economic model and able to provide significance, valid and reliable results. While oil price and gold price also proved that as a factor in affecting the stock exchange.

scholarly journals Pengaruh tingkat inflasi terhadap nilai tukar rupiah (Studi pada Bank Indonesia periode tahun 2011-2015)

2017 ◽  
Vol 5 (1) ◽  
pp. 32
Author(s):  
Yati Wijayanti Sudarmiani
Keyword(s):  
Time Series ◽  
Regression Analysis ◽  
Exchange Rate ◽  
Inflation Rate ◽  
Time Series Data ◽  
Linear Regression Analysis ◽  
Secondary Data ◽  
Coefficient Of Determination ◽  
Series Data ◽  
Simple Linear Regression

<p><em>This study aimed to analyze the influence of the inflation rate of the Rupiah. Population and samples used in this study are all monthly time series data rate of inflation and the Rupiah during the period January 2011-December 2015 as many as 60. The data used are secondary data obtained from the official website of Bank Indonesia<a href="http://www.bi.co.id/"> (www.bi.co.id).</a> The analytical method used in this study is a simple linear regression analysis. The result of the coefficient of determination (r2) which shows that the percentage of the effect of the inflation rate to changes in the rupiah exchange rate of 7,9%. From the calculations, the equation Y = 3.941 + 0,073X , it can be concluded that the level of inflation is positive and significant effect on the rupiah.</em></p>

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