Short-term influences on Canadian wood pulp prices and exports: a vector autoregression analysis

1996 ◽  
Vol 26 (4) ◽  
pp. 566-572 ◽  
Author(s):  
Janaki R.R. Alavalapati ◽  
Martin K. Luckert ◽  
Wiktor L. Adamowicz

The short-run dynamic impacts of macroeconomic variables on the Canadian pulp industry are investigated using the vector autoregression approach. The results show that shocks in the G10 exchange rate and the U.S. pulp price significantly affect Canadian pulp prices but not Canadian pulp exports. Short-term contracts, changes in the domestic demand for pulp, and limitations on pulp processing capacities are thought to be responsible for the limited responsiveness of pulp exports. The results also suggest that the indirect effect of shocks in the macroeconomy are important in explaining the dynamics of Canadian pulp price and pulp exports.

2017 ◽  
Vol 18 (4) ◽  
pp. 368-380
Author(s):  
Abdul Rashid ◽  
Farooq Ahmad ◽  
Ammara Yasmin

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.


JEJAK ◽  
2017 ◽  
Vol 10 (2) ◽  
pp. 273-288
Author(s):  
Arif Widodo ◽  
Istianah Asas

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%).


2021 ◽  
Vol 4 (6) ◽  
pp. 561-570
Author(s):  
Nur Habibah Asri ◽  
Dwi Wulandari

Sukuk or Sharia bonds are one of the investment instruments in Indonesia. Since the 19th century, Sukuk has become popular with investors. Several previous studies found contradictory results that macroeconomic variables have a relationship and influence on Sukuk by observing the year before the pandemic. This study uses a quantitative descriptive method with a Vector Autoregression (VAR) approach. Through the optimum lag value, namely, lag 3, statistically it was found that there was a significant relationship between the variables of GDP, interest rates, and the exchange rate on Sukuk. In addition, several analysis results found a causal relationship between these variables.


2011 ◽  
Vol 12 (2) ◽  
pp. 88-105
Author(s):  
C S Shylajan ◽  
Sreejesh S ◽  
Suresh K G

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.


2019 ◽  
Vol 8 (1) ◽  
Author(s):  
Arash Habibi

Abstract This paper contributes to the literature on the nexus between production and exchange rate in the United States (U.S.) by considering non-linear adjustments of exchange rate effects on industrial production in several sectors of the U.S. economy. We employ a Non-linear Autoregressive Distributed Lags (NARDL) model which is built upon the Solow model. We show that there exists a non-linear relationship between these two variables in some of the MMIGs. We document short-run non-linear effects of exchange rate on production of non-energy materials, durable manufacturing, consumer goods and business equipment. The short-run effects last into the long-run for all the sectors. While exchange rate changes have short-run linear effects on production of electricity in the U.S., there are no effects of exchange rate movements on the production of mining, and energy materials. Moreover, the paper finds misspecification error of the model for the case of durable manufacturing. The existence of non-linearities considering import content of exports, support our hypothesis and conclusions. Further, the factors that influence demand provide justifications for our results.


2013 ◽  
Vol 15 (4) ◽  
pp. 391-415
Author(s):  
Muhammad Syafii Antonio ◽  
Hafidhoh Hafidhoh ◽  
Hilman Fauzi

This study attempts to examine the short-term and long-term relationship among selected global anddomestic macroeconomic variables fromeach country (Fed rate, crude oil price, Dow Jones Index, interest rate, exchange rate and inflation) for Indonesia and Malaysia Islamic capital market (Jakarta Islamic Index (JII) and FTSE Bursa Malaysia Hijrah Shariah Index (FHSI). The methodology used in this study is vector error correction model (VECM) for the monthly data starting from January 2006 to December 2010. The result shows that in the long-term, all selectedmacroeconomic variables except Dow Jones Index variable have significantly affect in both Islamic stock market FHSI and JII, while in the short-term there is no any selected macroeconomic variables that significantly affect FHSI and only inflation, exchange rate and crude oil price variables seem to significantly affect JII. Keywords : Islamic Stock Market, Jakarta Islamic Index, FTSE Hijrah Shariah Index, VAR/VECMJEL Classification: E52, E44


2020 ◽  
Vol 7 (3) ◽  
pp. 145
Author(s):  
Nicas Yabu ◽  
Deogratius Kimolo

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.


Significance Instead it ordered that all foreign exchange purchases should occur through commercial banks. This move aims to stabilise the value of the naira by reducing effective domestic demand for foreign currency. Impacts The CBN may allow commercial banks to provide forex to retail dealers as an alternative policy. The cost of imported goods and services will increase. A USD3.35bn IMF special drawing rights (SDR) allocation will bolster Nigeria’s short-term reserve position. Full exchange rate unification will not occur under President Muhammadu Buhari’s administration.


2012 ◽  
Vol 2012 ◽  
pp. 1-10 ◽  
Author(s):  
Bishnu Kumar Adhikary

This paper investigates the impact of foreign direct investment (FDI), trade openness, domestic demand, and exchange rate on the export performance of Bangladesh over the period of 1980–2009 using the vector error correction (VEC) model under the time series framework. The stationarity of the variables is checked both at the intercept and intercept plus trend regression forms under the ADF and PP stationarity tests. The Johansen-Juselius procedure is applied to test the cointegration relationship between variables followed by the VEC regression model. The empirical results trace a long-run equilibrium relationship in the variables. FDI is found to be an important factor in explaining the changes in exports both in the short run and long-run. However, the study does not trace any significant causal relationship for the cases of trade openness, domestic demand, and exchange rate. The study concludes that Bangladesh should formulate FDI-led polices to enhance its exports.


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