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.

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 Budget Deficits and Economic Growth: A Vector Error Correction Modelling of South Africa

2017 ◽  
Vol 9 (2(J)) ◽  
pp. 215-223
Author(s):  
Kagiso Molefe ◽  
Andrew Maredza
Keyword(s):  
Economic Growth ◽  
South Africa ◽  
Error Correction ◽  
Budget Deficit ◽  
Time Series Data ◽  
Series Data ◽  
Budget Deficits ◽  
Vector Error Correction ◽  
Vector Error ◽  
Long Run

The primary motivation behind this study was to explore the consequential effects of budget deficit on South Africa`s economic growth. Six variables were used, namely: real GDP, budget deficit, real interest rate, labour, gross fixed capital formation and unemployment. The Vector Error Correction Model (VECM) was used to estimate the long-run equation and also measure the correction from disequilibrium of preceding periods. Using annual time series data spanning the period 1985 to 2015, empirical evidence from the study revealed that budget deficits and economic growth are inversely related. It was therefore concluded that high levels of budget deficit in South Africa have detrimental effects on the growth of the economy. The estimate of the speed of adjustment coefficient found in this study revealed that about 29 per cent of the variation in GDP from its equilibrium level is corrected within one year. The results obtained in this study are favourably similar to those in the literature and are also sustained by previous studies.

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

scholarly journals Budget Deficits and Economic Growth: A Vector Error Correction Modelling of South Africa

2017 ◽  
Vol 9 (2) ◽  
pp. 215
Author(s):  
Kagiso Molefe ◽  
Andrew Maredza
Keyword(s):  
Economic Growth ◽  
South Africa ◽  
Error Correction ◽  
Budget Deficit ◽  
Time Series Data ◽  
Series Data ◽  
Budget Deficits ◽  
Vector Error Correction ◽  
Vector Error ◽  
Long Run

The primary motivation behind this study was to explore the consequential effects of budget deficit on South Africa`s economic growth. Six variables were used, namely: real GDP, budget deficit, real interest rate, labour, gross fixed capital formation and unemployment. The Vector Error Correction Model (VECM) was used to estimate the long-run equation and also measure the correction from disequilibrium of preceding periods. Using annual time series data spanning the period 1985 to 2015, empirical evidence from the study revealed that budget deficits and economic growth are inversely related. It was therefore concluded that high levels of budget deficit in South Africa have detrimental effects on the growth of the economy. The estimate of the speed of adjustment coefficient found in this study revealed that about 29 per cent of the variation in GDP from its equilibrium level is corrected within one year. The results obtained in this study are favourably similar to those in the literature and are also sustained by previous studies.

scholarly journals Stock Prices, News, and Economic Fluctuations: Comment

2014 ◽  
Vol 104 (4) ◽  
pp. 1439-1445 ◽  
Author(s):  
André Kurmann ◽  
Elmar Mertens
Keyword(s):  
Error Correction ◽  
Unique Solution ◽  
Stock Prices ◽  
News Shocks ◽  
Error Correction Models ◽  
Vector Error Correction ◽  
Identification Scheme ◽  
Vector Error ◽  
Long Run ◽  
Vector Error Correction Models

Beaudry and Portier (2006) propose an identification scheme to study the effects of news shocks about future productivity in vector error correction models (VECMs). This comment shows that, when applied to their VECMs with more than two variables, the identification scheme does not have a unique solution. The problem arises from a particular interplay of cointegration assumptions and long-run restrictions. (JEL E32, E44, G12, G14)

scholarly journals Twin deficits in small open Baltic economies

2014 ◽  
Vol 61 (2) ◽  
pp. 227-239
Author(s):  
Veronika Suliková ◽  
Marianna Sinicáková ◽  
Denis Horváth
Keyword(s):  
Current Account ◽  
Current Account Deficit ◽  
Exchange Rate Regime ◽  
Budget Balance ◽  
Twin Deficits ◽  
Vector Error Correction ◽  
Baltic Countries ◽  
Vector Error ◽  
Long Run ◽  
Causality Tests

This paper analyzes the twin deficit hypothesis - simultaneous current account deficit and budget deficit - in three small open Baltic countries (Estonia, Latvia and Lithuania) running under certain forms of the fixed exchange rate regime. The idea of twin deficits is tested using the vector error correction model (VECM), Granger causality tests and forecast variance decomposition, involving three variables: current account, budget balance, and investments. The new estimates confirm significant long-run positive relation between budget balance and current account in Estonia and Lithuania on one hand and the negative one in case of budget balance and investments in all three considered countries. The results of the analysis are specific to each country as they depend on their particular macroeconomic background. The contribution was elaborated within the project VEGA 1/0973/11.

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