scholarly journals The Asymmetric Impacts of Crude Oil Prices, Inflation, the Exchange Rate, Institutional Quality, and Trade Balance on Tourist Arrivals in Bangladesh: A Nonlinear ARDL Model Approach

2022 ◽  
Vol 30 (1) ◽  
pp. 781-800
Author(s):  
Rehana Parvin
Keyword(s):  
Exchange Rate ◽  
Trade Balance ◽  
Time Series Data ◽  
Institutional Quality ◽  
Oil Prices ◽  
Series Data ◽  
Tourism Demand ◽  
Distributed Lag ◽  
The Exchange Rate ◽  
Bound Test

The nonlinear interaction of oil prices, inflation, the exchange rate, institutional quality, and trade balance on tourist arrivals in Bangladesh is scrutinized in this study. The technique utilized in this study, Nonlinear Autoregressive Distributed Lag (NARDL), is a novel co-integrating strategy. The yearly time series data used in this study spanned 1995 to 2019. The NARDL bound test is performed to assess if variables like oil prices, inflation, the exchange rate, institutional quality, and trade balance on tourist arrivals are co-integrated. Oil prices and exchange rates, according to the findings, have a long-run negative and significant impact on tourism demand, whereas improvements in institutional quality are positively associated with tourist arrivals. Moreover, the study’s findings revealed a nonlinear kinship between the trade balance, inflation, and tourism demand across time. The asymmetric results obtained could enable Bangladeshi policymakers to make more precise decisions.

Monetary Policy and Nigeria's Trade Balance, 1980-2018

2021 ◽  
Vol 10 (1) ◽  
pp. 129-138
Author(s):  
Musa Abdullahi Sakanko ◽  
Kanang Amos Akims
Keyword(s):  
Monetary Policy ◽  
Exchange Rate ◽  
Interest Rates ◽  
Trade Balance ◽  
Time Series Data ◽  
Policy Instruments ◽  
Flexible Exchange Rate ◽  
Series Data ◽  
Distributed Lag ◽  
Long Run

Several countries have integrated monetary easement into their foreign policy to faucet the gains from trade thereby, assuring that market forces determine monetary policy instruments such as interest rate and exchange rate. It is on this note and this paper empirically evaluate the effect of monetary policy on Nigeria's trade balance using the Autoregressive Distributed Lag Model on the time series data spanning from 1980 to 2018. The findings reveal that monetary policy tools of real interest and effective exchange rate have a long-run co-integration relationship and significant adverse effects on Nigeria's trade balance both in the short-run and long-run. Thus, the paper concludes that monetary policy is a veritable tool through which Nigeria can maintain a favorable trade balance. Therefore, policymakers should step on measures that will maintain low-interest rates to sustain a flexible exchange rate and remove all rigidities associated with the international payment system.JEL Classification: C22, E52, F13How to Cite:Sakanko, M. A., & Akims, K. A. (2021). Monetary Policy and Nigeria’s Trade Balance, 1980-2018. Signifikan: Jurnal Ilmu Ekonomi, 10(1), 129-138. https://doi.org/10.15408/sjie.v10i1.18132.

scholarly journals Analysing the Exchange Rate Volatility Relative to Trade Balance: The Case of SACU Countries

2020 ◽  
pp. 60-74
Author(s):  
Christine M. Haansende ◽  
Jacob M. Nyambe
Keyword(s):  
Exchange Rate ◽  
Trade Balance ◽  
Foreign Exchange Market ◽  
Time Series Data ◽  
Negative Impact ◽  
Exchange Rate Volatility ◽  
Series Data ◽  
Impulse Response Functions ◽  
Short Run ◽  
The Exchange Rate

The term exchange rate volatility is widely used in the financial market. The exchange rate is determined in the foreign exchange market, which is said to be the largest market in the world and it trades in financial assets. The main focus of this study is to analyse the nature of the relationship between exchange rate and trade balance in the selected member states of the SACU region in which the selected countries are Botswana, Namibia, Swaziland and South Africa. This study uses time series data from the period of 1986 to 2016. The Generalized Autoregressive Conditional Heteroscedasticity (GARCH) model, the impulse response functions and variance decompositions are used in the analysis. Results show that there is a short-run relationship between exchange rate volatility and trade balance. It was found that there is a positive and negative impact between these two variables, with high volatility. Furthermore, this study recommends all Central Banks in the SACU region to intervene in order to mitigate exchange rate volatility.

scholarly journals Estimasi model neraca perdagangan Indonesia dalam periode 1998-2017

2019 ◽  
Vol 7 (3) ◽  
pp. 123-136
Author(s):  
Liza Azizah ◽  
Syamsurijal Tan ◽  
Emilia Emilia
Keyword(s):  
Exchange Rate ◽  
Interest Rates ◽  
Trade Balance ◽  
Time Series Data ◽  
Series Data ◽  
Estimation Model ◽  
The Exchange Rate ◽  
Quantitative Descriptive ◽  
Balance Dynamics ◽  
Descriptive Method

This study aims to analyze Indonesia's trade balance dynamics and the factors that influence fluctuations in Indonesia's trade balance in the period 1998-2017. The method used in this study is a quantitative descriptive method. The data used in this study is time-series data on Indonesia's trade balance, exchange rate, GDP, inflation, and interest rates from 1998-2017. The data is processed through multiple regression analysis and development model analysis. The results showed that the variables of the exchange rate, GDP, inflation, and interest rates simultaneously significantly affected Indonesia's trade balance. Partially, the exchange rate, GDP, and interest rates have a significant effect on Indonesia's trade balance. In contrast, inflation does not substantially impact Indonesia's trade balance during the study period. R-square is 0.6882 or 68.82%, which means that Indonesia's trade balance for 1998-2017 is influenced by exchange rates, GDP, inflation, and interest rates, while other factors outside the estimation model influence the remaining 31.18%. Keywords: Trade balance, Exchange rate, GDP, Inflation, Interest rates.

scholarly journals Analisis Faktor-faktor Yang Mempengaruhui Cadangan Devisa Indonesia Bukti (Kointegrasi dan Kausalitas)

2020 ◽  
Vol 3 (2) ◽  
pp. 32
Author(s):  
Hijri Juliansyah ◽  
Putri Moulida ◽  
Apridar Apridar
Keyword(s):  
Exchange Rate ◽  
Foreign Exchange ◽  
Time Series Data ◽  
Cointegration Test ◽  
Series Data ◽  
Foreign Exchange Reserves ◽  
Causality Test ◽  
Long Run ◽  
The Exchange Rate ◽  
Bound Test

This study aims to analyze the factors that influence Indonesia's foreign exchange reserves by proving cointegration (long-run relationships) and causality (reciprocal relationships). The data used is time series data during the period January 2014-December 2018. The analytical method used in this study is cointegration test and granger causality with the approach of auto regressive lag (ARDL). The cointegration test results using the Bound test test indicated that between the variables of foreign exchange reserves, exports, the exchange rate, the BI Rate and inflation had a stability relationship of movements in the long run. While the results of the causality test showed that there is a one-way relationship between foreign exchange reserves and exports, and so there was a unidirectional relationship between foreign exchange reserves and the exchange rate and the same relationship between the BI Rate and foreign exchange reserves. Keywords: foreign exchange reserves, exports, exchange rates, BI Rate, inflation.

scholarly journals How Consumer Confidence, Corruption and Credit Rating Effect the Exchange Rate: Emerging Market Perspective

2020 ◽  
Vol 6 (2) ◽  
pp. 367-379
Author(s):  
Muhammad Asif Khan ◽  
Ghulam Mujtaba Chaudhary ◽  
Khalid Latif
Keyword(s):  
Exchange Rate ◽  
Credit Rating ◽  
Time Series Data ◽  
Emerging Market ◽  
Consumer Confidence ◽  
Series Data ◽  
Bounds Testing ◽  
Distributed Lag ◽  
Long Run ◽  
The Exchange Rate

The paper empirically examines whether the international rating influences the rate of exchange of an economy in the long run? The paper employs Autoregressive Distributed Lag (ARDL) Bounds testing methodology on the exchange rate of China and contemporary international rating, using time series data from 1996Q1 to 2016Q4. The empirical analysis confirms the presence of a cointegration relationship between country rating and the exchange rate. To be more specific; corruption index, credit rating, and inflation are significantly and negatively cointegrated with the exchange rate of China. Conversely, consumer confidence is uncorrelated with the exchange rate over the long run. The paper focuses only on the exchange rate of CNY-USD; this may limit the generalizability of results for exchange rate with other nations. Nevertheless, the results add to the exchange rate determinants literature by including country-rating indicators in the analysis. Prior literature documents that there is some relationship between inflation and exchange rate. This research is novel in the application of robust ARDL and bounds testing to examine the long and short-run association of country rating of China with its exchange rate, after controlling for inflation.

Faktor-Faktor Yang Mempengaruhi Nilai Tukar Dollar Amerika Serikat Terhadap Rupiah Tahun 2000–2013

2017 ◽  
Vol 1 (2) ◽  
pp. 177-191
Author(s):  
Rizki Rahma Kusumadewi ◽  
Wahyu Widayat
Keyword(s):  
Time Series ◽  
Exchange Rate ◽  
Money Supply ◽  
Time Series Data ◽  
The United States ◽  
Economic Conditions ◽  
Series Data ◽  
Arch Model ◽  
United States Dollar ◽  
The Exchange Rate

Exchange rate is one tool to measure a country’s economic conditions. The growth of a stable currency value indicates that the country has a relatively good economic conditions or stable. This study has the purpose to analyze the factors that affect the exchange rate of the Indonesian Rupiah against the United States Dollar in the period of 2000-2013. The data used in this study is a secondary data which are time series data, made up of exports, imports, inflation, the BI rate, Gross Domestic Product (GDP), and the money supply (M1) in the quarter base, from first quarter on 2000 to fourth quarter on 2013. Regression model time series data used the ARCH-GARCH with ARCH model selection indicates that the variables that significantly influence the exchange rate are exports, inflation, the central bank rate and the money supply (M1). Whereas import and GDP did not give any influence.

Impact of exchange rate and oil price on the yield of sovereign bond and sukuk: Evidence from Malaysian capital market

2017 ◽  
Vol 5 (4) ◽  
pp. 27
Author(s):  
Huda Arshad ◽  
Ruhaini Muda ◽  
Ismah Osman
Keyword(s):  
Exchange Rate ◽  
Capital Market ◽  
Time Series Data ◽  
Oil Prices ◽  
Oil Price ◽  
Series Data ◽  
Sovereign Bond ◽  
Long Run ◽  
Short Run ◽  
The Impact

This study analyses the impact of exchange rate and oil prices on the yield of sovereign bond and sukuk for Malaysian capital market. This study aims to ascertain the effect of weakening Malaysian Ringgit and declining of crude oil price on the fixed income investors in the emerging capital market. This study utilises daily time series data of Malaysian exchange rate, oil price and the yield of Malaysian sovereign bond and sukuk from year 2006 until 2015. The findings show that the weakening of exchange rate and oil prices contribute different impacts in the short and long run. In the short run, the exchange rate and oil prices does not have a direct relation with the yield of sovereign bond and sukuk. However, in the long run, the result reveals that there is a significant relationship between exchange rate and oil prices on the yield of sovereign bond and sukuk. It is evident that only a unidirectional causality relation is present between exchange rate and oil price towards selected yield of Malaysian sovereign bond and sukuk. This study provides numerical and empirical insights on issues relating to capital market that supports public authorities and private institutions on their decision and policymaking process.

An Analysis of the Dynamic Relationships between Inflation Volatility, Exchange Rate and Output Gap Volatility in Turkey

2021 ◽  
Vol 11 (4) ◽  
pp. 4772-4787
Author(s):  
Sevilay Küçüksakarya ◽  
Mustafa Özer
Keyword(s):  
Exchange Rate ◽  
Time Series Data ◽  
Series Data ◽  
Output Gap ◽  
Bounds Testing ◽  
Inflation Volatility ◽  
Long Run ◽  
Study Results ◽  
Causality Tests ◽  
The Exchange Rate

This study investigates the short and long-run relationships between Inflation volatility, exchange rate, and output gap volatility using the ARDL bounds testing approach in Turkey. Also, we repeat the estimates by using the output gap as well. Moreover, we examine the causal relationship among these variables by using Toda-Yamamoto and frequency domain causality tests. For this purpose, the study uses quarterly time series data between 2005 Q1 and 2020 Q4. Both short and long-run results of the ARDL estimates indicate that there are statistically significant relationships between exchange rate and inflation volatility, between output gap volatility and inflation volatility, and between the output gap and inflation volatility. As expected long-run effect of the exchange rate on inflation, volatility is negative, and the effects of both output volatility and output gap on inflation volatility are positive. Also, causality tests results indicate that changes in the exchange rate, output gap volatility, and output gap will have permanent and temporary causal effects on inflation volatility. Therefore, the study results provide new evidence about the exchange rate, output gap volatility, and output gap. The policymakers should carefully consider these results to implement appropriate policies to reduce inflation volatility.

Factors Determining Gold Prices in Malaysia

2019 ◽  
Vol 1 (2) ◽  
pp. 75-82
Author(s):  
Anis Mat Dalam ◽  
Noorhaslinda Kulub Abd Rashid ◽  
Jaharudin Padli
Keyword(s):  
Crude Oil ◽  
Time Series Data ◽  
Oil Prices ◽  
Series Data ◽  
Distributed Lag ◽  
Autoregressive Distributed Lag ◽  
Crude Oil Prices ◽  
Inflation Rates ◽  
Ardl Approach ◽  
Gold Reserve

Gold is a valuable asset to a country because of its liquidity. Gold reserve can stabilize the currency in a country. The objective of this paper is to identify the factors contributing to the volatility of gold prices, such as Real Malaysia GDP, inflation rates, crude oil prices and exchange rates. The data was analysed using Autoregressive Distributed Lag (ARDL) approach with time series data, with 30-year coverage from 1987 to 2016. Findings showed that only Real Malaysia GDP and crude oil prices were significantly related to gold prices. As a conclusion, this study can be used as reference by other investors. The author suggests to other researchers to further improve upon this study by adding more variables or diversifying the variables that relate to volatility of gold prices.

Pengaruh Nilai Tukar (Kurs) dan Inflasi terhadap Tingkat  Non Performing  Financing (NPF) Pada Bank Syariah

2019 ◽  
Vol 2 (2) ◽  
pp. 214-224
Author(s):  
Muhammad Arfan Harahap ◽  
Anjur Perkasa Alam ◽  
Muspita Pradila
Keyword(s):  
Exchange Rate ◽  
Time Series Data ◽  
Sampling Technique ◽  
Series Data ◽  
Islamic Banks ◽  
Exogenous Variables ◽  
Independent Variables ◽  
Analysis Technique ◽  
The Exchange Rate ◽  
Conventional Banks

The level of Non-Performing Financing at Islamic Banks is higher than conventional banks, while in terms of total assets, Islamic Banks are smaller. This study aims to analyze the effect of exogenous variables consisting of the level of inflation and the exchange rate of the rupiah against non Performing Financing in Islamic banks. This study uses time series data from 2016-2018. The population in this study consisted of Islamic Commercial Banks. The sampling technique used in this research is purposive sampling technique. The data analysis technique used is Multiple Linear Regression. The results showed that the inflation variable had a positive and significant effect on Non Performing Financing. While the Exchange Rate has no effect on Non Performing Finance. Meanwhile, simultaneously the two independent variables affect the independent variables.

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