scholarly journals DYNAMIC EFFECTS OF REMITTANCES ON EXTERNAL RESERVES IN NIGERIA: THE ROLE OF INFLATION AND STRUCTURAL BREAKS

2019 ◽  
Vol 13 (1) ◽  
pp. 119-141
Author(s):  
E. A. OLUBIYI ◽  
A. RAHEEM ◽  
A. A. ADEMOKOYA
Keyword(s):  
Exchange Rate ◽  
Structural Breaks ◽  
Flexible Exchange Rate ◽  
Jel Classification ◽  
Additional Information ◽  
Distributed Lag ◽  
Autoregressive Distributed Lag ◽  
Long Run ◽  
Floating Exchange Rate ◽  
Short Run

This study provides additional information about the drivers of external reserves in Nigeria.  The result using Autoregressive Distributed Lag (ARDL) model estimation approach for the period 1980-2015 shows that remittances, among other macroeconomic variables, increased external reserves in the short run but weakens it in the long run. Remittances depletes external reserves through its effect on inflation rate and the nonsterilized intervention of the Central Bank.  Furthermore, regime shift to relatively floating exchange rate causes remittances to increase reserves.  From the foregoing, it is important for the authorities to continue operating relatively flexible exchange rate, and curtail excessive spending of remittances.   Keywords: , , , , . JEL Classification: F31, F24, C22, F31  

FAKTOR-FAKTOR YANG MEMPENGARUHI NILAI IMPOR KEDELAI INDONESIA

2014 ◽  
Vol 8 (1) ◽  
pp. 117-138 ◽  
Author(s):  
Aziz Muslim
Keyword(s):  
Time Series ◽  
Exchange Rate ◽  
Soybean Oil ◽  
Secondary Data ◽  
Cointegration Analysis ◽  
Distributed Lag ◽  
Autoregressive Distributed Lag ◽  
Long Run ◽  
Government Role ◽  
Short Run

Kajian ini bertujuan untuk menentukan faktor-faktor yang mempengaruhi impor kedelai Indonesia. Data yang digunakan adalah data sekunder berbentuk time series, diolah dan dianalisis dengan metode estimasi dan kointegrasi Autoregressive Distributed Lag (ARDL). Hasil penelitian menunjukkan bahwa faktor-faktor yang mempengaruhi impor kedelai Indonesia dalam jangka pendek adalah impor kedelai sebelumnya, harga kedelai USA, harga minyak kedelai Argentina, dan nilai tukar Rupiah. Dalam jangka panjang faktor yang berpengaruh adalah harga minyak kedelai Argentina, PDB Indonesia, dan nilai tukar Rupiah. Kajian ini merekomendasikan bahwa mekanisme pengamanan stok kedelai maupun minyak kedelai bermanfaat untuk menjaga ketersediaan pangan dalam negeri. Peran aktif pemerintah dalam mengamankan stok kedelai nasional serta pengumpulan data-data tentang impor kedelai merupakan tuntutan yang mendesak. Untuk menjaga kestabilan harga dan pasokan kedelai dalam negeri perlu ada upaya untuk mendiversifikasi negara asal impor. The aim of this study is to determine the factors that affect Indonesia’s imports of soybean. The study utilized time series secondary data and Autoregressive Distributed Lag (ARDL) cointegration analysis. The results reveal that in the short run Indonesia’s import of soybean are influenced by Indonesia's soybean imports in the previous year, price of USA’s soybean, Argentina’s soybean oil price, and the Rupiah exchange rate. In the long run Indonesia’s imports of soybean are influenced by Argentina’s soybean oil, Indonesia GDP, and the Rupiah exchange rate. This study recommends that mechanism to maintain soybean stocks demanded is useful for food security.Therefore Government role is important in providing the accurate data on soybean stock, and diversification of the country of origin is crucial to maintain price stability and supply continuity in the country

Dynamic Effects of Exchange Rate Movements on Productivity Levels: New Evidence From Nigeria Based on NARDL

2021 ◽  
pp. 245513332110507
Author(s):  
Emmanuel Uche ◽  
Sunday Ikedinobi Nwamiri
Keyword(s):  
Exchange Rate ◽  
Output Growth ◽  
Distributed Lag ◽  
Dynamic Relationship ◽  
Autoregressive Distributed Lag ◽  
Long Run ◽  
Exchange Rate Movements ◽  
Short Run ◽  
Pass Through ◽  
Exchange Rate Depreciation

The dynamic relationship between exchange rate movements (appreciation and depreciation) and macroeconomic fundamentals had preoccupied the minds of researchers across the globe. Consequently, extensive research works have been conducted to unravel the puzzle; however, the findings remain inconclusive. The inconclusiveness of these researches may not be unconnected with the choice of model, the omission of key variables and erroneous assumption of symmetric interrelationships of the variables. To mitigate such error and fill the observed research gaps, this study leveraged on the non-linear autoregressive distributed lag to trace the possible asymmetric pass-through of the exchange rate to output growth in Nigeria. The study made use of monthly time series for the period 2000M1–2018M12 for empirical estimations. The empirical findings reveal an asymmetric pass-through from exchange rate to productivity. Exchange rate depreciation led to output retardation in the short run, but neither appreciation nor depreciation of the exchange affected output in the long run. The findings highlight that exchange rate depreciation of the local currency does not improve the country’s productivity. This reveals a disconnection and misalignment between exchange and productivity in Nigeria. The findings call for proper alignment of the Naira exchange rate with the U.S. dollar for improved productivity in the economy.

scholarly journals Currency Substitution and Exchange Rate Volatility in Nigeria: An Autoregressive Distributed Lag Approach

2021 ◽  
pp. 1-28
Author(s):  
Isaiah O. Ajibola ◽  
Sylvanus U. Udoette ◽  
Rabia A. Muhammad ◽  
John O. Anigwe
Keyword(s):  
Exchange Rate ◽  
Structural Breaks ◽  
Exchange Rate Volatility ◽  
Empirical Support ◽  
Currency Substitution ◽  
Distributed Lag ◽  
Autoregressive Distributed Lag ◽  
Long Run ◽  
The Relationship ◽  
Real Exchange Rate Volatility

This study investigates the relationship between exchange rate volatility and currency substitution in Nigeria, using Autoregressive Distributed Lag (ARDL) model. After accounting for the presence of structural breaks, evidence from the findings shows that domestic interest rate and expected changes in exchange rate are important determinants of currency substitution. In addition, there is empirical support for a positive relationship between exchange rate volatility and currency substitution both in the short- and long-run. This implies that higher real exchange rate volatility is associated with an increased level of currency substitution. In view of these findings, the paper calls for sustained efforts by the monetary authority in containing exchange rate volatility and inflation as a way of curbing the spate of currency substitution in the country.

Exchange rate effect on money demand in Pakistan

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Iffat Zehra ◽  
Muhammad Kashif ◽  
Imran Umer Chhapra
Keyword(s):  
Exchange Rate ◽  
Money Demand ◽  
Demand Model ◽  
Content Type ◽  
Distributed Lag ◽  
Autoregressive Distributed Lag ◽  
Long Run ◽  
Non Linear ◽  
Short Run ◽  
Nardl Model

PurposeThis paper aims to examine association of money demand with key macroeconomic variables in Pakistan. The paper also investigates the asymmetric effect of real effective exchange rate (REER) on money demand.Design/methodology/approachThe study employs both linear autoregressive distributed lag (ARDL) and non-linear autoregressive distributed lag (NARDL) model. Annual data from 1970 to 2018 is used which is subjected to non-linearity through partial sum concept. Empirical analysis is conducted to prove if money demand is influenced by currency appreciation or depreciation, for long and short run.FindingsCointegration test indicates existence of a long-run relationship between money demand and its determinants. Results from NARDL model suggest negative relation between money demand and inflation in long and short run. Real income shows positive but a very minimal and insignificant effect on money demand in long and short run. Impact of call money rates is statistically significant and negative on M1 and M2. Wald tests and differing coefficient sign confirm presence of asymmetric relation of REER in long run with M2, whereas in short run we observe a linear, symmetrical relation of REER with M1 and M2. Stability diagnostic tests (CUSUM and CUSUMSQ) verify stability of M2 demand model in Pakistan.Practical implicationsResults signify that role of money demand is imperative as a monetary policy tool and it can be utilized to achieve objective of price stability. Additionally, exchange rate movements should be critically examined by monetary authorities to avoid inflationary pressures resulting from an increase in demand for broad monetary aggregate.Originality/valueThe paper contributes to scarce monetary literature on asymmetrical effects of exchange rate in Pakistan. Impact of variables has been studied through linear approach, but this paper is unique since it attempts to explore non-linear relationships.

scholarly journals Attention to the Fads and Fashions in the Indian Stock Markets During COVID-19

2021 ◽  
pp. 097226292110025
Author(s):  
Paritosh Chandra Sinha
Keyword(s):  
Online Search ◽  
Additional Information ◽  
Distributed Lag ◽  
Autoregressive Distributed Lag ◽  
Arch Effect ◽  
Long Run ◽  
Short Run ◽  
Search Data ◽  
Best Linear Unbiased ◽  
Online Searches

Do people show fads and fashions in their attention searches? With the Google online search data during COVID-19, particularly from January to May 2020 for the socio-economic keywords, this study examines if online searches show short-run and long-run attention dynamics leading to fads and fashions in attention to the NSE Nifty and BSE Sensex indices. This study employs the methodology of cointegrating relationship with autoregressive distributed lag (ARDL) model and explains investors’ attention search dynamics at the ‘NSE Nifty Index’ and ‘BSE Sensex Index’ caused by socio-economic attention searches. It also examines if the dynamics of attention coordination are parsimonious in nature and it explores the same with the generalized autoregressive conditional heteroskedastic (GARCH-X) model. With the ARDL models, this study finds robust and unbiased cointegrating impacts of socio-economic attention searches on the attention search for the NSE Nifty index but these are not the best linear unbiased and efficient (BLUE) ones, while the same on the BSE Sensex Index are BLUE. For the NSE Nifty index, the attention dynamics at the GARCH-X specification are BLUE while for the BSE Sensex index, the GARCH-X specification also has some additional information in terms of the ARCH effect only.

scholarly journals The Dynamics of Exchange Rate, Inflation, and Trade Balance in Indonesia

2021 ◽  
pp. 273
Author(s):  
Nayaka Artha Wicesa ◽  
Yon Widiyono ◽  
David Kaluge
Keyword(s):  
Exchange Rate ◽  
Open Economy ◽  
Jel Classification ◽  
Economic Activities ◽  
Trade Surplus ◽  
Distributed Lag ◽  
Autoregressive Distributed Lag ◽  
J Curve ◽  
Short Run ◽  
Balance Of Trade

Balance of trade has become an essential indicator for economic activities, particularly in countries adopting the open economy. During the last two decades, Indonesia has had trade surplus. The open economy has created dynamics in macroeconomic variables. The purpose of this research is to identify any dynamics between exchange rate, inflation, and balance of trade in Indonesia. Using the Autoregressive Distributed Lag, this study finds the dynamics between the said variables. In the short run, there are causalities between exchange rate and balance of trade, exchange rate and inflation, and balance of trade and inflation. In addition, J-Curve also occurred in Indonesia, where depreciation in exchange rate gradually improves the country’s balance of trade in the second and fourth quarters. Keywords: Exchange Rate, Inflation, Balance of Trade, Autoregressive Distributed Lag JEL Classification: F1, F4, C1  

scholarly journals Short Term Portfolio Investment and BI Rate: Do They Determine the Stabilization of Rupiah Exchange Rate in Indonesia?

2019 ◽  
Vol 8 (1) ◽  
pp. 18
Author(s):  
Chenny Seftarita ◽  
Fitriyani Fitriyani ◽  
Cut Zakia Rizki ◽  
Diana Sapha ◽  
Abd. Jamal
Keyword(s):  
Exchange Rate ◽  
Stock Price ◽  
Short Term ◽  
Private Debt ◽  
Distributed Lag ◽  
Autoregressive Distributed Lag ◽  
Long Run ◽  
Short Run ◽  
The Stability ◽  
Portfolio Investments

This study aims to investigate the influence of short-term portfolio investments and BI interest rate on fluctuation of rupiah exchange rate in Indonesia. The data used is quarterly data from 2010 to 2016 collected from Indonesia Central Bank. Using the Autoregressive Distributed Lag (ARDL) method, the result showed that rupiah exchange rate was strongly influenced by shocks in the private debt securities, joint stock price index, and BI Rate, both in the long run and short run. Moreover, it is found that there was a short-run and long-run balance relationship between Short Term Portfolio Investments and BI rate against the rupiah exchange rate. Thus, it is recommended that in order to stabilize the exchange rate, it is necessary to maintain the stability of short-term portfolio investments.  

scholarly journals Asymmetric Effects of Remittances on Economic Growth in Nigeria: Evidence From Non-linear ARDL Analysis

2020 ◽  
Author(s):  
David Oluseun Olayungbo ◽  
Clement Olalekan Olaniyi ◽  
Titus Ayobami Ojeyinka
Keyword(s):  
Economic Growth ◽  
Jel Classification ◽  
Asymmetric Effects ◽  
Distributed Lag ◽  
Autoregressive Distributed Lag ◽  
Long Run ◽  
Short Run ◽  
Linear Effects ◽  
Nonlinear Autoregressive ◽  
Nardl Model

Abstract Most of the extant studies on remittance-growth nexus have been limited to symmetric and linear effects of remittance on economic growth. Unlike previous studies, we examine asymmetric and nonlinear association between remittance and economic growth within the framework of nonlinear autoregressive distributed lag (NARDL) model utilizing Nigeria’s data from 1981 to 2018. The study finds the evidence to support that growth responds asymmetrically to remittances only in the long-run. It is established that both positive and negative variations in remittance inflows dampen the productive base of the economy in the long-run while positive and negative changes in remittances are growth-retarding and growth-enhancing respectively in the short-run. The study, therefore, concludes that persistent increase in remittance inflows have not been channeled to productive ventures that are capable of stimulating growth in Nigeria. Thus, consistent with the view of pessimistic theorists, continual inflows of remittances to Nigeria could not be termed brain gains to the economy. JEL CLASSIFICATION: F24, F43, O11

The Recent Inflation Crisis and Long-run Economic Growth in India: An Empirical Survey of Threshold Level of Inflation

2017 ◽  
Vol 6 (1) ◽  
pp. 105-132 ◽  
Author(s):  
Jaganath Behera ◽  
Alok Kumar Mishra
Keyword(s):  
Economic Growth ◽  
Structural Break ◽  
Threshold Level ◽  
Jel Classification ◽  
Empirical Survey ◽  
Distributed Lag ◽  
Autoregressive Distributed Lag ◽  
Long Run ◽  
Equilibrium Relationship ◽  
Short Run

This article investigates the existence of a threshold level of inflation and how any such level affects the growth of Indian economy. The article also seeks to examine the dynamic short-run and long-run relationship between inflation and economic growth in India. By employing spline regression method to estimate the threshold level of inflation and the long-run and short-run relationships, the results show a statistically significant structural break in the relationship between inflation and economic growth at 4 per cent. The study suggests that if inflation exceeds the threshold point, that is, 4 per cent, it will negatively affect economic growth. The autoregressive distributed lag (ARDL) model bound testing cointegration suggests that there are two cointegration vectors when gross domestic product and rate of interest are considered as the dependent variables. This result confirms the existence of the long-run equilibrium relationship between economic growth, inflation, exchange rate and rate of interest. From the long-run analysis, the study found that inflation is positively related to economic growth, whereas the other variables are not significant. JEL Classification: E4, E6

scholarly journals Exchange rate and trade balance: J-curve effect

2010 ◽  
Vol 57 (1) ◽  
pp. 23-41 ◽  
Author(s):  
Pavle Petrovic ◽  
Mirjana Gligoric
Keyword(s):  
Exchange Rate ◽  
Trade Balance ◽  
Impulse Response Functions ◽  
Distributed Lag ◽  
Autoregressive Distributed Lag ◽  
Long Run ◽  
J Curve ◽  
Curve Effect ◽  
Short Run ◽  
Current Account Adjustments

This paper shows that exchange rate depreciation in Serbia improves trade balance in the long run, while giving rise to a J-curve effect in the short run. These results add to the already existent empirical evidence for a diverse set of other economies. Both Johansen's and autoregressive distributed lag approach are respectively used giving similar long-run estimates showing that real depreciation improves trade balance. Corresponding errorcorrection models as well as impulse response functions indicate that, following currency depreciation, trade balance first deteriorates before it later improves, i.e. exhibiting the J-curve pattern. These results are relevant for policy making both in Serbia and in a number of other emerging Europe countries as they face major current account adjustments after BoP crises of 2009.

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