scholarly journals Macroeconomic Variables Affecting Fish Production in Nigeria

2019 ◽  
Vol 9 (2) ◽  
pp. 216-230
Author(s):  
Edet Joshua Udoh ◽  
Sunday Brownson Akpan
Keyword(s):  
Exchange Rate ◽  
Fish Production ◽  
Demand Shocks ◽  
Macroeconomic Variables ◽  
Long Run ◽  
Short Run ◽  
Total Fish ◽  
Food Imports ◽  
The Stability ◽  
Aquaculture Production

The study is an attempt to examine the influence of macroeconomic variables on the growth of fishery sub-sector in Nigeria. The study covers the period from 1961 and 2017. The results apparently revealed that aquaculture production, artisanal fish production, and total fish production, grew exponentially at the rate of 8.90%, 3.75%, and 4.25% respectively. To be more precise, various other factors like, demand shocks, food imports, and variable exchange rate, affected artisanal fish production in the long-run; while exchange rate and demand shocks were significant in the short-run period. For the aquaculture production, demand shocks, credit potential, inflation, food imports, and exchange rate were some significant policy variables in the long-run; whereas demand shocks and exchange rate were also significant in the short-run period. Finally, as far as the total fish production is concerned, demand shocks, food imports, and exchange rate were significantly trending variables, both in the short and long-run periods. To promote fish production in Nigeria, fish imports should be gradually restricted and the economic system regulated to ensure the stability of naira exchange for the US dollar.

Exploring the relationship between macroeconomic indicators and sovereign credit default swap in Pakistan

2017 ◽  
Vol 18 (4) ◽  
pp. 368-380
Author(s):  
Abdul Rashid ◽  
Farooq Ahmad ◽  
Ammara Yasmin
Keyword(s):  
Exchange Rate ◽  
Credit Default Swap ◽  
Content Type ◽  
Macroeconomic Variables ◽  
Long Run ◽  
Credit Default ◽  
Macroeconomic Indicators ◽  
Short Run ◽  
The Exchange Rate ◽  
The Interest Rate

Purpose This paper aims to empirically examine the long- and short-run relationship between macroeconomic indicators (exchange rates, interest rates, exports, imports, foreign reserves and the rate of inflation) and sovereign credit default swap (SCDS) spreads for Pakistan. Design/methodology/approach The authors apply the autoregressive distributed lag (ARDL) model to explore the level relationship between the macroeconomic variables and SCDS spreads. The error correction model is estimated to examine the short-run effects of the underlying macroeconomic variables on SCDS spreads. Finally, the long-run estimates are obtained in the ARDL framework. The study uses monthly data covering the period January 2001-February 2015. Findings The results indicate that there is a significant long-run relationship between the macroeconomic indicators and SCDS spreads. The estimated long-run coefficients reveal that both the interest rate and foreign exchange reserves are significantly and negatively, whereas imports and the rate of inflation are positively related to SCDS spreads. Yet, the results suggest that the exchange rate and exports do not have any significant long-run impact on SCDS spreads. The findings regarding the short-run relationship indicate that the exchange rate, imports and the rate of inflation are positively, whereas the interest rate and exports are negatively related to SCDS spreads. Practical implications The results suggest that State Bank of Pakistan should design monetary and foreign exchange rate polices to minimize unwanted variations in the exchange rate to reduce SCDS spreads. The results also suggest that it is incumbent to Pakistan Government to improve the balance of payments to reduce SCDS spreads. The findings also suggest that the inflation targeting policy can also help in reducing SCDS spreads. Originality/value This is the first study to examine the empirical determinants of SCDS spreads for Pakistan. Second, it estimates the short- and long-run effects in the ARDL framework. Third, it considers both internal and external empirical determinants of SCDS spreads.

scholarly journals Determinants of Islamic Rural Bank Financing in Indonesia

JEJAK ◽  
2017 ◽  
Vol 10 (2) ◽  
pp. 273-288
Author(s):  
Arif Widodo ◽  
Istianah Asas
Keyword(s):  
Exchange Rate ◽  
Global Financial Crisis ◽  
Positive Impact ◽  
Impulse Response Function ◽  
Third Party ◽  
Correction Model ◽  
Macroeconomic Variables ◽  
Bank Financing ◽  
Long Run ◽  
Short Run

This research is designed to empirically investigate the determinants of Islamic rural banking financing in Indonesia after 2008 global financial crisis covering period 2009.1-2014.12. The methods applied in this research are Error Correction Model (ECM) and VAR/VECM. The results of ECM model demonstrate that the variable third party funds (DPK) and non-performing financing can significantly affect Islamic rural banking financing both in the short run and long run, while Return on Asset (ROA) and Profit-and-loss sharing does not have a significant influence. Islamic rural bank financing, however, was influenced by inflation and exchange rate as the proxy of macroeconomic variables in the short and long run. Furthermore, Impulse Response Function (IRF) and variance decomposition results show that Profit-and-loss sharing (PLS) has the largest positive impact to financing (39.08%), followed by third party fund (19.6%) and inflation (8.9%). While, the variables that contribute to reduce financing are non-performing financing (9.02%), followed by ROA (7.76%) and exchange rate (2.48%).

Rupee-Dollar Exchange Rate and Macroeconomic Fundamentals: An Empirical Analysis Using Flexible-Price Monetary Model

2011 ◽  
Vol 12 (2) ◽  
pp. 88-105
Author(s):  
C S Shylajan ◽  
Sreejesh S ◽  
Suresh K G
Keyword(s):  
Exchange Rate ◽  
Monetary Model ◽  
Macroeconomic Variables ◽  
Indian Context ◽  
Long Run ◽  
Macroeconomic Fundamentals ◽  
Short Run ◽  
Us Dollar ◽  
Casual Relationship ◽  
Test Result

This paper empirically investigates the link between Indian rupee-US dollar exchange rates and a set of macroeconomic fundamentals using flexible-price monetary model (FPMM) for the period 1996 M1 to 2010 M12. The Johanson-Juselius cointegration test result indicates the existence of long run relationship between exchange rate and the macroeconomic variables, implying the validity of FPMM model in Indian context even though there is no short run casual relationship exist in the VECM analysis.

scholarly journals Exchange Rate Volatility and Its Implications on Macroeconomic Variables in East African Countries

2020 ◽  
Vol 7 (3) ◽  
pp. 145
Author(s):  
Nicas Yabu ◽  
Deogratius Kimolo
Keyword(s):  
Exchange Rate ◽  
Positive Impact ◽  
Export Performance ◽  
Exchange Rate Volatility ◽  
Mitigation Measures ◽  
Macroeconomic Variables ◽  
Long Run ◽  
Short Run ◽  
Lending Rates ◽  
The Exchange Rate

The study examines the extent of exchange rate volatility and its impact on key macroeconomic variables such as exports, FDI inflows, interest rate and inflation in Tanzania, Kenya and Uganda. The GARCH model is used to compute the extent of exchange rate volatility while the Panel Autoregressive Distributed Lag (ARDL) technique or pooled mean group (PMG) estimator was used to estimate the effects of exchange rate volatility on selected macroeconomic variables. The results indicate that volatility in the exchange rate is a real issue in all the sampled countries and is fundamentally driven by exports and FDI dynamics for the period under consideration. The results indicate a positive impact of the exchange rate volatility to export performance and lending rates in the long run. Exchange rate volatility appears to be detrimental to both export performance and leads to a reduction in lending rates in the short run. Also, the response of FDI to exchange rate volatility seems to be negative in the long run while in the short run the response from the volatility of real exchange rate seems is insignificant. Though not significant, the volatility of the exchange rate appears to have a positive impact on inflation. The study recommends that policymakers need institute mitigation measures which could smooth out excessive exchange rate volatility to minimize its likely impact on the economy. The study also indicated a need for the EAC countries to consider adopting inflation targeting monetary policy framework in order to contain inflation at the appropriate level.

scholarly journals Empirical Relationship between Macroeconomic Variables and Stock Prices of Indian Banking Sector: A Vector Error Correction Model Approach

2020 ◽  
Vol 12 (2) ◽  
pp. 189-198
Author(s):  
Aastha Khera ◽  
◽  
Neelam Dhanda ◽  
Keyword(s):  
Exchange Rate ◽  
Stock Market ◽  
Stock Prices ◽  
Banking Sector ◽  
Empirical Relationship ◽  
Correction Model ◽  
Macroeconomic Variables ◽  
Foreign Reserve ◽  
Long Run ◽  
Short Run

This existing study aims to investigate the relationship between Indian Bankingstock market prices and macroeconomic variables. The proxy for the Indian Banking stockmarket is Nifty Bank while Foreign Reserve, Exchange Rate (Indian vs US Dollar), Interestrate, and CPI are proxies of macroeconomic variables. Johansen Cointegration and VectorError Correction Model (VECM) on monthly data from January 2013 to July 2020 have beenapplied. Considering the results of cointegration, it is found that there is a long-run asso-ciation between the Indian Banking stock market and constituent macroeconomic variables.Next, the employment of VECM is done for inspecting long run and short-run causality.The result reveals long-run equilibrium in Indian commercial bankís stock prices comingfrom macroeconomic variables. This study has considerable imputations that investors candiversify their portfolio according to the ináuencing power of constituent selected macro-economic variables in the short run and the long run. Exchange rate and foreign reservesdrive the banking stock market in the short run whereas CPI and Interest rate do not createany signiÖcant impact.

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.  

THE IMPACT OF EXCHANGE RATE, FISCAL DEFICIT AND TERMS OF TRADE ON EXTERNAL DEBT OF PAKISTAN: A Cointegration and Causality Analysis

2011 ◽  
Vol 01 (03) ◽  
pp. 10-24
Author(s):  
Asma Awan ◽  
Nabeela Asghar ◽  
Hafeez ur Rehman
Keyword(s):  
Exchange Rate ◽  
Foreign Debt ◽  
External Debt ◽  
Terms Of Trade ◽  
Fiscal Deficit ◽  
Causality Analysis ◽  
Long Run ◽  
Short Run ◽  
The Stability ◽  
The Impact

The massive debt burden of Pakistan calls for a detailed analysis of trends in the foreign debt levels, its causative factors and implications for economic growth. The present study is an attempt to analyze the relationship between external debt and exchange rate, fiscal deficit and deterioration of terms of trade for the period 1974-2008. Using Johansen approach, the study found significant long-run relationship between external debt and exchange rate and deterioration of terms of trade. The results of the study revealed that fiscal deficit had no significant impact on external debt. In the short-run all the variables failed to establish relationship with external debt. However, the existence of long-run causality was observed and three channels of uni-directional causalities were found actively running from (i) fiscal deficit to external debt, (ii) terms of trade to exchange rate, and (iii) fiscal deficit to terms of trade. Diagnostic test confirmed the validity of the model and CUSUM and CUSUMSQ test revealed the stability of the model.

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.

scholarly journals Mobile Money Use: The Impact of Macroeconomic Policy and Regulation

Economies ◽  
2021 ◽  
Vol 9 (2) ◽  
pp. 51
Author(s):  
Lorna Katusiime
Keyword(s):  
Exchange Rate ◽  
Interest Rates ◽  
Financial Innovation ◽  
Macroeconomic Policy ◽  
Mobile Money ◽  
Distributed Lag ◽  
Distributed Lag Model ◽  
Long Run ◽  
Short Run ◽  
The Impact

This paper examines the effects of macroeconomic policy and regulatory environment on mobile money usage. Specifically, we develop an autoregressive distributed lag model to investigate the effect of key macroeconomic variables and mobile money tax on mobile money usage in Uganda. Using monthly data spanning the period March 2009 to September 2020, we find that in the short run, mobile money usage is positively affected by inflation while financial innovation, exchange rate, interest rates and mobile money tax negatively affect mobile money usage in Uganda. In the long run, mobile money usage is positively affected by economic activity, inflation and the COVID-19 pandemic crisis while mobile money customer balances, interest rate, exchange rate, financial innovation and mobile money tax negatively affect mobile money usage.

scholarly journals Currency Depreciation, Trade Balance and Intra-Industry Trade Interactions in Turkey’s OECD Trade

2016 ◽  
Vol 8 (4) ◽  
pp. 8 ◽  
Author(s):  
Mehmet Demiral
Keyword(s):  
Exchange Rate ◽  
Trade Balance ◽  
Real Effective Exchange Rate ◽  
Series Data ◽  
Adjustment Process ◽  
Industry Trade ◽  
Long Run ◽  
Effective Exchange ◽  
Short Run ◽  
Effective Exchange Rate

<p>This study re-examines the determinants of Turkey’s trade balance in its manufactures trade with 33 OECD-member countries for the short-run and the long-run. Unlike other studies, in the relationships we also control the moderating effects of the availability of import substitutes proxied by intra-industry trade. We analyze quarterly aggregated time-series data of the period spanning from 1998.QI to 2015.QIII, following the autoregressive distributed lag (ARDL) bounds testing approach to the cointegration and the error correction modeling. Estimation results reveal that real effective exchange rate, together with domestic and foreign incomes are still among the core determinants of Turkey’s trade balance in the manufacturing sectors. There is no significant impact of domestic final oil prices that also include all the taxes on gasoline. The trade balance depends on domestic income negatively and the aggregated income of the OECD countries positively. The finding that real depreciation of Turkish lira against to those of Turkey’s OECD trade partners improves trade balance in both the short-run and the long-run, indicates no evidence of J-curve adjustment process. Unsurprisingly, the intra-industry trade seems to be an important factor that moderates the elasticities of trade balance to its determinants, especially to real effective exchange rate and domestic income. Overall results underline the importance of import-substitution capability besides the export-oriented production to ease the longstanding large trade deficits for Turkey.</p><strong></strong>

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