scholarly journals Measuring the volatility spill-over effects of crude oil prices on the exchange rate and stock market in Ghana

2019 ◽  
Vol 29 (4) ◽  
pp. 420-439
Author(s):  
Mutawakil M. Zankawah ◽  
Chris Stewart
Keyword(s):  
Exchange Rate ◽  
Stock Market ◽  
Crude Oil ◽  
Oil Prices ◽  
Crude Oil Prices ◽  
The Exchange Rate

scholarly journals AN EMPIRICAL STUDY ON THE DYNAMIC RELATIONSHIP BETWEEN CRUDE OIL PRICES AND NIGERA STOCK MARKET

2016 ◽  
Vol 4 (9) ◽  
pp. 157-169
Author(s):  
Rabia Najaf ◽  
Khakan Najaf
Keyword(s):  
Exchange Rate ◽  
Crude Oil ◽  
Stock Exchange ◽  
Oil Prices ◽  
Securities And Exchange Commission ◽  
Exchange Rate Policy ◽  
Trading System ◽  
Dynamic Relationship ◽  
Crude Oil Prices ◽  
Oil Crisis

In this paper, we have examined the crude oil price on the performance of Nigerian stock exchange and exchange rate act as the plausible countercyclical tool .we have applied the different models and collected the results that crude oil prices have direct impact on the stock exchange of Nigeria. The   Nigeria stock exchange is regulated by the Securities and Exchange Commission .Nigeria stock exchange has the automated trading system. The basic facility of Nigeria trading system is (ATS),it is helpful to remote trading system.Consequently, most of the investorsdo trade with the method of ATS.This study is also proving that Nigeria stock exchange has influenced on the performance of the economy, Impact of oil crisis on the Nigeria stock exchange, Impact of crude oil crisis on the development of country, Effect of exchange rate policy on the performance of Nigeria stock exchange.

scholarly journals Time-Gap effects of crude oil prices on the foreign exchange rates: Evidence from Nigeria

2021 ◽  
Vol 3 (3) ◽  
pp. 31-44
Author(s):  
Nenubari Ikue John ◽  
Emeka Nkoro ◽  
Jeremiah Anietie
Keyword(s):  
Exchange Rate ◽  
Exchange Rates ◽  
Crude Oil ◽  
Foreign Exchange ◽  
Oil Prices ◽  
Cointegration Analysis ◽  
External Information ◽  
Garch Models ◽  
Foreign Exchange Rates ◽  
Crude Oil Prices

There is a pool of techniques and methods in addressing dynamics behaviors in higher frequency data, prominent among them is the ARCH/GARCH techniques. In this paper, the various types and assumptions of the ARCH/GARCH models were tried in examining the dynamism of exchange rate and international crude oil prices in Nigeria. And it was observed that the Nigerian foreign exchange rates behaviors did not conform with the assumptions of the ARCH/GARCH models, hence this paper adopted Lag Variables Autoregressive (LVAR) techniques originally developed by Agung and Heij multiplier to examine the dynamic response of the Nigerian foreign exchange rates to crude oil prices. The Heij coefficient was used to calculate the dynamic multipliers while the Engel & Granger two-step technique was used for cointegration analysis.  The results revealed an insignificant dynamic long-term response of the exchange rate to crude oil prices within the periods under review. The coefficient of dynamism was insignificantly in most cases of the sub-periods. The paper equally revealed that the significance of the dynamic multipliers depends greatly on external information about both market indicators which are two-way interactions. Thus, the paper recommends periodic intervention in the foreign exchange market by the monetary authorities to stabilize the market against any shocks in the international crude oil market, since crude oil is the main source of foreign exchange in Nigeria.

scholarly journals The Dynamic Relationship between Crude Oil Prices and Stock Market Price Volatility in Nigeria: A Cointegrated VAR-GARCH Model

2019 ◽  
pp. 1-12
Author(s):  
David Adugh Kuhe
Keyword(s):  
Stock Market ◽  
Crude Oil ◽  
Market Price ◽  
Garch Model ◽  
Price Volatility ◽  
Oil Prices ◽  
Market Prices ◽  
Dynamic Relationship ◽  
Crude Oil Prices ◽  
Long Run

This study investigates the dynamic relationship between crude oil prices and stock market price volatility in Nigeria using cointegrated Vector Generalized Autoregressive conditional Heteroskedasticity (VAR-GARCH) model. The study utilizes monthly data on the study variables from January 2006 to April 2017 and employs Dickey-Fuller Generalized least squares unit root test, simple linear regression model, unrestricted vector autoregressive model, Granger causality test and standard GARCH model as methods of analysis. Results shows that the study variables are integrated of order one, no long-run stable relationship was found to exist between crude oil prices and stock market prices in Nigeria. Both crude oil prices and stock market prices were found to have positive and significant impact on each other indicating that an increase in crude oil prices will increase stock market prices and vice versa. Both crude oil prices and stock market prices were found to have predictive information on one another in the long-run. A one-way causality ran from crude oil prices to stock market prices suggesting that crude oil prices determine stock prices and are a driven force in Nigerian stock market. Results of GARCH (1,1) models show high persistence of shocks in the conditional variance of both returns. The conditional volatility of stock market price log return was found to be stable and predictable while that of crude oil price log return was found to be unstable and unpredictable, although a dependable and dynamic relationship between crude oil prices and stock market prices was found to exist. The study provides some policy recommendations.

The optimal thermal causal path analysis on the relationship between international crude oil price and stock market

Kybernetes ◽  
2018 ◽  
Vol 47 (6) ◽  
pp. 1242-1261 ◽  
Author(s):  
Can Zhong Yao ◽  
Peng Cheng Kuang ◽  
Ji Nan Lin
Keyword(s):  
Stock Market ◽  
Crude Oil ◽  
Stock Markets ◽  
Oil Prices ◽  
Oil Price ◽  
Chinese Stock Market ◽  
Crude Oil Price ◽  
Content Type ◽  
Crude Oil Prices ◽  
Causal Path

Purpose The purpose of this study is to reveal the lead–lag structure between international crude oil price and stock markets. Design/methodology/approach The methods used for this study are as follows: empirical mode decomposition; shift-window-based Pearson coefficient and thermal causal path method. Findings The fluctuation characteristic of Chinese stock market before 2010 is very similar to international crude oil prices. After 2010, their fluctuation patterns are significantly different from each other. The two stock markets significantly led international crude oil prices, revealing varying lead–lag orders among stock markets. During 2000 and 2004, the stock markets significantly led international crude oil prices but they are less distinct from the lead–lag orders. After 2004, the effects changed so that the leading effect of Shanghai composite index remains no longer significant, and after 2012, S&P index just significantly lagged behind the international crude oil prices. Originality/value China and the US stock markets develop different pattens to handle the crude oil prices fluctuation after finance crisis in 1998.

Common Trends and Common Cycles in Oil Price and Real Exchange Rate

2014 ◽  
Vol 14 (2) ◽  
pp. 249-263 ◽  
Author(s):  
Hem C. Basnet ◽  
Puneet Vatsa ◽  
Subhash Sharma
Keyword(s):  
Exchange Rate ◽  
Exchange Rates ◽  
Crude Oil ◽  
Real Exchange Rates ◽  
Oil Prices ◽  
Oil Price ◽  
Cycle Decomposition ◽  
The Real ◽  
Crude Oil Prices ◽  
Common Cycles

This study explores the long- and short-run movement between oil prices and the real exchange rates of two large oil-exporting countries – Canada and Norway. Cointegration and serial correlation common features tests are jointly used to identify the long-term common trend and short-term common cycles. Our test results find that oil prices and the real exchange rates of the Canadian Dollar and the Norwegian Krone have two shared trends and one shared cycle. The trend–cycle decomposition shows a great deal of positive comovement among the trend and cyclical components. The two currencies show economic dynamics very similar to crude oil prices. They do not exhibit any qualitative differences in the trajectory of the trend and cycles when controlling for different crude oil prices. Our results indicate that oil price fluctuations play significant role in explaining the exchange rate movements of oil-exporting countries.

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