scholarly journals INTERACTION AMONG EXCHANGE RATE, INFLATION RATE, EXPORT AND IMPORT IN NIGERIA USING VECTOR AUTOREGRESSIVE (VAR) MODELS

2021 ◽  
Vol 2 (3) ◽  
Keyword(s):  
Exchange Rate ◽  
Inflation Rate ◽  
Var Models ◽  
Vector Autoregressive

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 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.

Macroeconomic Variables and Private Investment: A Two Dimensional Study from Nigeria Economy

2019 ◽  
pp. 20-37
Keyword(s):  
Exchange Rate ◽  
Interest Rate ◽  
Private Equity ◽  
Inflation Rate ◽  
Private Investment ◽  
Financial Deepening ◽  
Equity Investment ◽  
Macroeconomic Variables ◽  
Insignificant Effect ◽  
Real Investment

The study investigated the impact of macroeconomic variables on private investment in Nigeria for the period 1990 to 2016. To achieve these objectives, the study tests for the study modeled private equity and private real investment as the function exchange rate, financial sector development, and interest rate, openness of the economy, real gross domestic product, inflation rate and broad money supply. Ordinary least square method of data analysis was used. From model one, the study found that real gross domestic product have positive but insignificant effect, openness of the economy have positive and insignificant effect, interest rate have positive and significant effect, financial deepening have positive and insignificant effect while interest rate, inflation rate and exchange rate have negative effect on private real investment. The coefficient of determination (R2) proved that the independent variables can explain 62 percent variation on private real investment; the f- statistics found that the model is significant while the Durbin Watson statistics proved the presence of serial autocorrelation. The effect of macroeconomic variables on private equity investment was presented in model two. The study found that openness of the economy; real gross domestic products, broad money supply, and interest rate have negative and insignificant effect on private equity investment except openness of the economy with significant effect. Inflation rate, financial sector deepening and exchange rate have positive and insignificant effect on private equity investment except financial deepening with significant effect. The R2 proved that the independent variables can predict 66.9 percent variation on private equity investment. The f- statistics found that the model is significant while the Durbin Watson statistics proved the presence of serial autocorrelation. We conclude that macroeconomic variable have significant effect on private investment in Nigeria. We recommend that interest rate must be able to encourage higher private investment by increasing the real interstate on private savings or household savings so that larger amount of income would be saved to accumulate more capital and hence private investment. Policies should be formulated by investors and government to discourage factors that affect negatively private investment.

scholarly journals Utilization of Vector Autoregressive and Linear Transfer Models to Follow Up the Antibiotic Resistance Spiral in Gram-negative Bacteria From Cephalosporin Consumption to Colistin Resistance

2018 ◽  
Vol 69 (8) ◽  
pp. 1410-1421 ◽  
Author(s):  
Hajnalka Tóth ◽  
Adina Fésűs ◽  
Orsolya Kungler-Gorácz ◽  
Bence Balázs ◽  
László Majoros ◽  
...  
Keyword(s):  
Antibiotic Resistance ◽  
Carbapenem Resistance ◽  
Gram Negative Bacteria ◽  
Vicious Cycle ◽  
Var Models ◽  
Gram Negative ◽  
Vector Autoregressive ◽  
E Coli ◽  
Cephalosporin Resistance ◽  
Klebsiella Spp

Abstract Background Increasing antibiotic resistance may reciprocally affect consumption and lead to use of broader-spectrum alternatives; a vicious cycle that may gradually limit therapeutic options. Our aim in this study was to demonstrate this vicious cycle in gram-negative bacteria and show the utility of vector autoregressive (VAR) models for time-series analysis in explanatory and dependent roles simultaneously. Methods Monthly drug consumption data in defined daily doses per 100 bed-days and incidence densities of gram-negative bacteria (Escherichia coli, Klebsiella spp., Pseudomonas aeruginosa, and Acinetobacter baumannii) resistant to cephalosporins or to carbapenems were analyzed using VAR models. These were compared to linear transfer models used earlier. Results In case of all gram-negative bacteria, cephalosporin consumption led to increasing cephalosporin resistance, which provoked carbapenem use and consequent carbapenem resistance and finally increased colistin consumption, exemplifying the vicious cycle. Different species were involved in different ways. For example, cephalosporin-resistant Klebsiella spp. provoked carbapenem use less than E. coli, and the association between carbapenem resistance of P. aeruginosa and colistin use was weaker than that of A. baumannii. Colistin use led to decreased carbapenem use and decreased carbapenem resistance of P. aeruginosa but not of A. baumannii. Conclusions VAR models allow analysis of consumption and resistance series in a bidirectional manner. The reconstructed resistance spiral involved cephalosporin use augmenting cephalosporin resistance primarily in E. coli. This led to increased carbapenem use, provoking spread of carbapenem-resistant A. baumannii and consequent colistin use. Emergence of panresistance is fueled by such antibiotic-resistance spirals.

MODELING THE INTERACTIONS OF STOCK PRICE AND EXCHANGE RATE IN MALAYSIA

2009 ◽  
Vol 54 (04) ◽  
pp. 605-619 ◽  
Author(s):  
MOHD TAHIR ISMAIL ◽  
ZAIDI BIN ISA
Keyword(s):  
Exchange Rate ◽  
Exchange Rates ◽  
Stock Prices ◽  
Stock Price ◽  
Price Index ◽  
Composite Index ◽  
Regime Shifts ◽  
Var Model ◽  
Vector Autoregressive ◽  
Stock Price Index

After the East Asian crisis in 1997, the issue of whether stock prices and exchange rates are related or not have received much attention. This is due to realization that during the crisis the countries affected saw turmoil in both their currencies and stock markets. This paper studies the non-linear interactions between stock price and exchange rate in Malaysia using a two regimes multivariate Markov switching vector autoregression (MS-VAR) model with regime shifts in both the mean and the variance. In the study, the Kuala Lumpur Composite Index (KLCI) and the exchange rates of Malaysia ringgit against four other countries namely the Singapore dollar, the Japanese yen, the British pound sterling and the Australian dollar between 1990 and 2005 are used. The empirical results show that all the series are not cointegrated but the MS-VAR model with two regimes manage to detect common regime shifts behavior in all the series. The estimated MS-VAR model reveals that as the stock price index falls the exchange rates depreciate and when the stock price index gains the exchange rates appreciate. In addition, the MS-VAR model fitted the data better than the linear vector autoregressive model (VAR).

scholarly journals Co-integration with score-driven models: an application to US real GDP growth, US inflation rate, and effective federal funds rate

2021 ◽  
pp. 1-21
Author(s):  
Szabolcs Blazsek ◽  
Alvaro Escribano ◽  
Adrian Licht
Keyword(s):  
Inflation Rate ◽  
Predictive Accuracy ◽  
Moving Average ◽  
Impulse Response Functions ◽  
Federal Funds ◽  
Federal Funds Rate ◽  
Vector Autoregressive ◽  
Autoregressive Moving Average Model ◽  
Long Run ◽  
The Us

Abstract Nonlinear co-integration is studied for score-driven models, using a new multivariate dynamic conditional score/generalized autoregressive score model. The model is named t-QVARMA (quasi-vector autoregressive moving average model), which is a location model for the multivariate t-distribution. In t-QVARMA, I(0) and co-integrated I(1) components of the dependent variables are included. For t-QVARMA, the conditions of the maximum likelihood estimator and impulse response functions (IRFs) are presented. A limiting special case of t-QVARMA, named Gaussian-QVARMA, is a Gaussian-VARMA specification with I(0) and I(1) components. As an empirical application, the US real gross domestic product growth, US inflation rate, and effective federal funds rate are studied for the period of 1954 Q3 to 2020 Q2. Statistical performance and predictive accuracy of t-QVARMA are superior to those of Gaussian-VAR. Estimates of the short-run IRF, long-run IRF, and total IRF impacts for the US data are reported.

scholarly journals Inflation Expectations in Turkey: Determinants and Roles in Missing Inflation Targets

2018 ◽  
Vol 7 (3) ◽  
pp. 73-90 ◽  
Author(s):  
Umit Bulut
Keyword(s):  
Exchange Rate ◽  
Inflation Targeting ◽  
Inflation Rate ◽  
Oil Price ◽  
Output Gap ◽  
Inflation Expectations ◽  
Inflation Target ◽  
Distributed Lag ◽  
Expected Inflation ◽  
Target Output

Abstract This paper aims at specifying the determinants of 12-month ahead and 24-month ahead inflation expectations in Turkey by using monthly data from April 2006 to December 2016. Put differently, this paper tries to shed light on how inflation expectations respond to changes in past inflation rate, inflation target, output gap, USD/TL exchange rate, oil price, and EMBI in Turkey. To this end, the paper first conducts unit root tests in order to detect the order of integration of the variables. Then, the paper employs the autoregressive distributed lag approach to examine whether there is a cointegration relationship among variables and to estimate long-run parameters. According to the findings, 12-month ahead expected inflation rate is positively related to past inflation rate, inflation target, output gap, USD/TL exchange rate, and oil price and is negatively related to EMBI. Besides, 24-month ahead expected inflation rate is positively related to past inflation rate and USD/TL exchange rate and is negatively related to inflation target and EMBI. Upon its findings, the paper makes some inferences about the success of inflation targeting strategy in Turkey.

scholarly journals Impact of Exchange Rate Management on the Nigerian Economic Growth: Empirical Validation

2019 ◽  
Vol 1 (2) ◽  
pp. 28-35
Author(s):  
Friday Osaru Ovenseri Ogbomo ◽  
Precious Imuwahen Ajoonu
Keyword(s):  
Economic Growth ◽  
Exchange Rate ◽  
Inflation Rate ◽  
Government Expenditure ◽  
Least Square ◽  
Ordinary Least Square ◽  
Exchange Rate Management ◽  
Long Run ◽  
Short Run ◽  
The Impact

This paper examined the impact of Exchange Rate Management on economic growth in Nigeria between 1980 and 2015. The study was set to gauge how the management of exchange rate in Nigeria has impacted the economy. The study employed the Ordinary Least Square (OLS) method in its analysis. Co-integration and Error Correction Techniques were used to establish the Short-run and Long-run relationships between economic growth and other relevant economic indicators. The result revealed that exchange rate management proxy by various exchange rates regimes in Nigeria was not germane to economic growth. Rather, government expenditure, inflation rate, money supply and foreign direct investment significantly impact on economic growth in Nigeria. It is against this backdrop that the Nigerian economy must diversify her export base to create room for more inflow of foreign exchange.  

scholarly journals Monetary Transmission Channel, Oil Price Shock and the Manufacturing Sector in Nigeria

2019 ◽  
Vol 19 (1) ◽  
pp. 89-113
Author(s):  
Adeleke Omolade ◽  
Philip Nwosa ◽  
Harold Ngalawa
Keyword(s):  
Monetary Policy ◽  
Exchange Rate ◽  
Inflation Rate ◽  
Manufacturing Sector ◽  
Output Growth ◽  
Oil Price ◽  
Monetary Transmission ◽  
Oil Price Shock ◽  
Price Shock ◽  
The Exchange Rate

Abstract Research background: The need for diversification of the Nigerian economy has been emphasized and the manufacturing sector has a major role in this. Being an oil producing country, monetary policy is an important macroeconomic policy that has always been used to manage the influence of oil price shock on the manufacturing sector. Purpose: The study examines the relationship between oil price shock, the monetary transmission mechanism and manufacturing output growth in Nigeria. Research methodology: The study applied the structural vector auto regression (SVAR) modelling technique and a descriptive analysis. Results: The results of the study show that the exchange rate is mostly affected by the oil price shock, while the monetary policy instruments and inflation rate are also very responsive to the exchange rate shock. The manufacturing sector output growth has also been shown to be strongly affected by the inflation rate and monetary policy shocks. Novelty: The study has revealed the most effective channel via which oil price shocks affect manufacturing output. The exchange rate channel of the monetary policy transmission mechanism is the most significant channel through which oil price shock affects manufacturing output growth in Nigeria. This shows that effective management of the exchange rate policy via the appropriate monetary policy approach can be used to minimize the adverse effect of oil price shocks on Nigerian manufacturing output.

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