The inconsistent effect of foreign exchange earnings on economic development of Fiji: the strategies and long run relationship through vector error correction modelling

2020 ◽  
Vol 1 (1) ◽  
pp. 1
Author(s):  
Gyanendra Singh Sisodia ◽  
Alberto Ibanez ◽  
Murale Venugopalan
Keyword(s):  
Economic Development ◽  
Error Correction ◽  
Foreign Exchange ◽  
Vector Error Correction ◽  
Vector Error ◽  
Long Run

Dynamic Relationship between Stock Prices and Exchange Rates in Emerging Markets

2015 ◽  
pp. 166-181 ◽  
Author(s):  
Veli Akel ◽  
SerkanYılmaz Kandır ◽  
Özge Selvi Yavuz
Keyword(s):  
South Africa ◽  
Emerging Markets ◽  
Exchange Rates ◽  
Error Correction ◽  
Foreign Exchange ◽  
Stock Prices ◽  
Vector Error Correction ◽  
Vector Error ◽  
Long Run ◽  
Causality Tests

All the emerging markets are vulnerable to the fears of capital outflows after the US Federal Reserve's tapering on May 22, 2013. The term “Fragile Five” was introduced by a research note of Morgan Stanley to refer to the countries of Brazil, India, Indonesia, South Africa and Turkey. The aim of this study is to examine whether there are stock and foreign exchange markets integration among Brazil, India, Indonesia, South Africa and Turkey. The authors employ cointegration-based tests, vector error correction modeling techniques, and Granger causality tests to examine the long-run and short-run linkages between stock prices and exchange rates. The results of cointegration tests suggest that there is one long-run stationary relationship between the stock indices and the foreign exchange rates. Four of the Fragile Five (excluding Brazil) show that the stock prices are positively associated with exchange rates. Finally, vector error correction estimates lead to miscellaneous results.

scholarly journals DETERMINANTS OF THE DEMAND FOR IMPORT OF BANGLADESH: A COINTEGRATION AND VECTOR ERROR CORRECTION ANALYSIS

2020 ◽  
pp. 23-30
Author(s):  
Maila Lama
Keyword(s):  
Error Correction ◽  
Foreign Exchange ◽  
Trade Deficit ◽  
Import Demand ◽  
Foreign Exchange Reserves ◽  
Vector Error Correction ◽  
Real Gdp ◽  
Vector Error ◽  
Long Run ◽  
Short Run

This paper examines the determinants of import demand of Bangladesh by using the time series data for the period 1990-91 to 2015-16. The study found that both export and import of the country has increased significantly after the liberalization of its economy in early 1990s. But its import has always been higher than export resulting in widening of its trade deficit. Its export destinations are located in distant countries; USA, Germany and UK while its imports sources are neighbouring countries like China and India. Johansen’s cointegration method and vector error correction model was applied to estimate the determinants of its import demand. The results showed that there was a long-run relationship between real import, real GDP and Foreign exchange reserves. In the long-run, import was found to be more elastic to real GDP and inelastic with respect to foreign exchange reserves. The VEC model indicated that any deviation in import in the short-run would get corrected within a period of less than one year. The import was more elastic to real income in the short-run than in the long-run. The evidences showed that the volume of import would increase faster with increase in real GDP and would deteriorate the country’s trade balance unless accompanied by high export growth. Hence, there is a need to invest in establishing import substitute industries to control imports and promote exports to reduce trade deficit. KEYWORDS: Import, trade policy, real GDP, foreign exchange reserve, cointegration

Dynamic Relationship between Stock Prices and Exchange Rates in Emerging Markets

2016 ◽  
pp. 2257-2273
Author(s):  
Veli Akel ◽  
SerkanYılmaz Kandır ◽  
Özge Selvi Yavuz
Keyword(s):  
South Africa ◽  
Emerging Markets ◽  
Exchange Rates ◽  
Error Correction ◽  
Foreign Exchange ◽  
Stock Prices ◽  
Vector Error Correction ◽  
Vector Error ◽  
Long Run ◽  
Causality Tests

All the emerging markets are vulnerable to the fears of capital outflows after the US Federal Reserve's tapering on May 22, 2013. The term “Fragile Five” was introduced by a research note of Morgan Stanley to refer to the countries of Brazil, India, Indonesia, South Africa and Turkey. The aim of this study is to examine whether there are stock and foreign exchange markets integration among Brazil, India, Indonesia, South Africa and Turkey. The authors employ cointegration-based tests, vector error correction modeling techniques, and Granger causality tests to examine the long-run and short-run linkages between stock prices and exchange rates. The results of cointegration tests suggest that there is one long-run stationary relationship between the stock indices and the foreign exchange rates. Four of the Fragile Five (excluding Brazil) show that the stock prices are positively associated with exchange rates. Finally, vector error correction estimates lead to miscellaneous results.

scholarly journals An Investigation of the Effectiveness of Financial Development in Pakistan

2008 ◽  
Vol 13 (2) ◽  
pp. 27-44 ◽  
Author(s):  
Muhammad Tahir
Keyword(s):  
Economic Development ◽  
Error Correction ◽  
Financial Development ◽  
Output Variable ◽  
Vector Error Correction ◽  
Vector Error ◽  
Long Run ◽  
Error Correction Modeling ◽  
The Relationship ◽  
Correction Terms

This study attempts to discern the relationship between economic and financial development in Pakistan for the period 1973 - 2006. Vector error-correction modeling is used to identify the causality between economic and financial development and the exogeneity of the variable(s) in the model. These error correction terms have been derived from Johansen’s multivariate cointegrating procedure. Results indicate that, in the long run, economic development causes financial development. Furthermore, the real output variable is found to be exogenous. Thus, financial development is seen to be ineffective in terms of economic development determination in Pakistan.

scholarly journals Empirical evidence of a long-run relationship between agriculture and manufacturing industry output in Nigeria

2019 ◽  
Author(s):  
Eze Osuagwu
Keyword(s):  
Error Correction ◽  
Empirical Evidence ◽  
Manufacturing Industry ◽  
Policy Implications ◽  
Necessary Condition ◽  
Macroeconomic Factors ◽  
Vector Error Correction ◽  
Vector Error ◽  
Long Run ◽  
Industry Output

<p>This study investigates a relationship between agriculture and manufacturing industry output in Nigeria from 1982-2015, using the Granger causality, co-integration and error correction techniques. Empirical evidence reveals a bidirectional relationship between the sectors. Although, a positive and significant relationship exists in the short and long-run estimates, a long-run divergence from the vector error correction model suggest that changes in agricultural productivity are not restored to equilibrium, given that macroeconomic factors distort the linkage. Policy implications indicate that macroeconomic stability is a necessary condition for agricultural and manufacturing sectors to foster economic growth.</p>

scholarly journals Revisiting the Dynamic Linkages of Treasury Bond Yields for the BRICS: A Forecasting Analysis

Forecasting ◽  
2020 ◽  
Vol 2 (2) ◽  
pp. 102-129
Author(s):  
Stelios Bekiros ◽  
Christos Avdoulas
Keyword(s):  
Interest Rates ◽  
Error Correction ◽  
Term Structure ◽  
Parameter Instability ◽  
Vector Error Correction ◽  
Brics Countries ◽  
Vector Error ◽  
Long Run ◽  
Out Of Sample ◽  
Dynamic Linkages

We examined the dynamic linkages among money market interest rates in the so-called “BRICS” countries (Brazil, Russia, India, China, and South Africa) by using weekly data of the overnight, one-, three-, and six- months, as well as of one year, Treasury bills rates covering the period from January 2005 to August 2019. A long-run relationship among interest rates was established by employing the Vector Error Correction modeling (VECM), which revealed the validation of the Expectation Hypothesis Theory (EH) of the term structure of interest rates, taking into account long-run deviations from equilibrium and inherent nonlinearities. We unveiled short-run dynamic adjustments for the term structure of the BRICS, subject to regime switches. We then used Markov Switching Vector Error Correction models (MS-VECM) to forecast them dynamically during an out-of-sample period of May 2016 through August 2019. The MSIH-VECM forecasts were found to be superior to the VECM approaches. The novelty of our paper is mainly due to the exploration of the possibility of parameter instability as a crucial factor, which might explain the rejection of the restricted version of the cointegration space, and on the dynamic out-of-sample forecasts of the term structure over a more recent time span in order to assess further the usefulness of our nonlinear MS-VECM characterization of the term structure, capturing the effects of the global and domestic financial crisis.

The Role of Urbanisation in the Economic Development Process: Evidence from Nigeria

2017 ◽  
Vol 11 (3) ◽  
pp. 223-255 ◽  
Author(s):  
Sakiru Adebola Solarin
Keyword(s):  
Economic Growth ◽  
Least Squares ◽  
Error Correction ◽  
Industrial Development ◽  
Ordinary Least Squares ◽  
Vector Error Correction ◽  
Vector Error ◽  
Long Run ◽  
Determinants Of Economic Growth ◽  
The Relationship

The aim of this article is to investigate the relationship between urbanisation and economic growth, while controlling for the agricultural sector, industrial development and government expenditure in Nigeria. The autoregressive distributed lag (ARDL) approach to cointegration is applied to examine the long-run relationship between the variables over the period 1961–2012. In the process of estimating the long-run coefficients, the ARDL method is augmented with a fully modified ordinary least squares (FMOLS) estimator and a dynamic ordinary least squares (DOLS) estimator. The direction of causality between the variables is examined through the vector error correction method (VECM) Granger causality test. The results establish the existence of a long-run relationship in the variables. The results of the long-run regressions indicate the presence of long-run causality from urbanisation, agriculture and industrialisation to economic growth. Due to the deficiencies associated with the single-equation methods (including the ARDL model), we also use the structural vector error correction model (SVECM) to analyse the relationship between the variables. The impulse response and variance decomposition analyses derived from the SVECM method suggest that urbanisation, agriculture and industrialisation are important determinants of economic growth. The implications of the results are discussed. JEL Classification: Q43, O55, O18

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