scholarly journals Effect of Oil Prices Fluctuation on Stock Indices-Comparative Study

2021 ◽  
pp. 80-89
Author(s):  
Ahmed J. Al-Dahlaki ◽  
Ghadhanfer A. Hussein ◽  
Mohammed S. Ahmed
Keyword(s):  
New York ◽  
Saudi Arabia ◽  
Comparative Study ◽  
Financial Markets ◽  
Crude Oil ◽  
Oil Prices ◽  
Oil Price ◽  
Market Index ◽  
Stock Indices ◽  
The Relationship

The study aims to examine the nature of the relationship and the effect of oil price fluctuations on stock indices in the financial markets of exporting and importing countries. For achieving that, the price of Brent crude oil was chosen as an index from the stock markets in Saudi Arabia, Russia and Iraq as oilexporting countries. While the market index was chosen from the markets of New York, Shanghai and Nikkei as an oil importer. The study came out with a set of conclusions and recommendations. The most important is that the degree of response of stock indices to fluctuations in oil prices was greater in exporting countries than in importing countries.

scholarly journals Oil Price and Exchange Rate Nexus-Evidence From Nigeria

2019 ◽  
Vol 9 (1) ◽  
pp. 298 ◽  
Author(s):  
Dauda Mohammed ◽  
J. Udoma Afangideh ◽  
Oloruntoba S. Ogundele
Keyword(s):  
Exchange Rate ◽  
Crude Oil ◽  
Causal Effect ◽  
Oil Prices ◽  
Oil Price ◽  
Upward Movement ◽  
Oil Market ◽  
Daily Data ◽  
The Exchange Rate ◽  
The Relationship

Price swings at international crude oil market significantly impact on macroeconomic fundamentals of oil dependent countries. Hence, understanding the relationship between oil price movement and the exchange rate has become imperative especially for oil exporting countries. This paper examines the causal effect between oil prices and Nigerian naira–US dollar exchange rate using frequency daily data for the period 12/07/2010-31/08/2017. Generalized autoregressive conditional heteroskedasticity (GARCH) and exponential GARCH (EGARCH) models were used to estimate our oil prices and nominal naira exchange rate equation. Our findings reveal a positive relation between oil price and naira exchange rate meaning that an upward movement in the price of oil causes the naira to depreciate. Conversely, any fall in oil price leads to appreciation in the value of the naira. The result has important policy implication given that 90% of the total annual foreign revenue of Nigeria comes from oil thus oil price shocks have severe impact on the Nigerian economy. This justifies the need for Nigeria’s economic diversification to minimize the vulnerability of the Nigerian economy to vagaries of the international crude oil market and to delink the exchange rate and reserve movement from developments in oil prices.

scholarly journals The Impact of Oil Price Shocks on Oil-Dependent Countries’ Currencies: The Case of Azerbaijan and Kazakhstan

2021 ◽  
Vol 14 (9) ◽  
pp. 431
Author(s):  
Katarzyna Czech ◽  
Ibrahim Niftiyev
Keyword(s):  
Exchange Rate ◽  
Exchange Rates ◽  
Crude Oil ◽  
Oil Prices ◽  
Oil Price ◽  
Impulse Response Functions ◽  
The Caspian Sea ◽  
Crude Oil Prices ◽  
The Impact ◽  
The Relationship

The paper aims to assess the relationship between Azerbaijani and Kazakhstani exchange rates and crude oil prices volatility. The study applies the structural vector autoregressive (SVAR) model. The paper concentrates on Azerbaijan and Kazakhstan, the post-Soviet countries considered as some of the most oil-dependent countries in the Caspian Sea region. The impulse response functions suggest that the rise of crude oil prices is associated with the exchange rates decrease and thus with an Azerbaijani manat and Kazakhstani tenge appreciation against the U.S. dollar. Moreover, the results suggest that an oil price increase leads to the rise of Azerbaijani international reserves. However, the results are insignificant for the Kazakhstani foreign exchange reserves. Additionally, the study reveals a negative and significant relationship between crude oil prices and USD/KZT in both pre-crisis and the COVID-19 crisis periods. We reveal that the correlation has been stronger during the COVID-19 pandemic. However, the relationship is not significant in the case of the Azerbaijani manat. The USD/AZN exchange rate has been stable since 2017, and the first phase of the COVID-19 pandemic has not caused a change in the exchange rate and a weakening of the Azerbaijani currency, despite significant drops in crude oil prices.

scholarly journals Has COVID-19 changed the stock return-oil price predictability pattern?

2021 ◽  
Vol 7 (1) ◽  
Author(s):  
Fan Zhang ◽  
Paresh Kumar Narayan ◽  
Neluka Devpura
Keyword(s):  
Financial Markets ◽  
Stock Returns ◽  
Empirical Model ◽  
Economic Activity ◽  
Stock Return ◽  
Oil Prices ◽  
Trading Strategies ◽  
Oil Price ◽  
Seasonal Effects ◽  
The Relationship

AbstractIn this paper, we examine if COVID-19 has impacted the relationship between oil prices and stock returns predictions using daily Japanese stock market data from 01/04/2020 to 03/17/2021. We make a novel contribution to the literature by testing whether the COVID-19 pandemic has changed this predictability relationship. Employing an empirical model that controls for seasonal effects, return-related control variables, heteroskedasticity, persistency, and endogeneity, we demonstrate that the influence of oil prices on stock returns declined by around 89.5% due to COVID-19. This implies that when COVID-19 reduced economic activity and destabilized financial markets, the influence of oil prices on stock returns declined. This finding could have implications for trading strategies that rely on oil prices.

Forecasting Crude Oil price using Artificial Neural Network model

2021 ◽  
pp. 321-326
Author(s):  
Sivaprakash J. ◽  
Manu K. S.
Keyword(s):  
Neural Network ◽  
Time Series ◽  
Crude Oil ◽  
Back Propagation ◽  
Oil Prices ◽  
Oil Price ◽  
Back Propagation Algorithm ◽  
Crude Oil Price ◽  
Propagation Algorithm ◽  
Crude Oil Prices

In the advanced global economy, crude oil is a commodity that plays a major role in every economy. As Crude oil is highly traded commodity it is essential for the investors, analysts, economists to forecast the future spot price of the crude oil appropriately. In the last year the crude oil faced a historic fall during the pandemic and reached all time low, but will this situation last? There was analysis such as fundamental analysis, technical analysis and time series analyses which were carried out for predicting the movement of the oil prices but the accuracy in such prediction is still a question. Thus, it is necessary to identify better methods to forecast the crude oil prices. This study is an empirical study to forecast crude oil prices using the neural networks. This study consists of 13 input variables with one target variable. The data are divided in the ratio 70:30. The 70% data is used for training the network and 30% is used for testing. The feed forward and back propagation algorithm are used to predict the crude oil price. The neural network proved to be efficient in forecasting in the modern era. A simple neural network performs better than the time series models. The study found that back propagation algorithm performs better while predicting the crude oil price. Hence, ANN can be used by the investors, forecasters and for future researchers.

Exploring the inflationary effect of oil price in the US

2019 ◽  
Vol 13 (1) ◽  
pp. 60-76 ◽  
Author(s):  
Amine Lahiani
Keyword(s):  
Growth Rate ◽  
Structural Breaks ◽  
Oil Prices ◽  
Oil Price ◽  
Inflation Expectations ◽  
Oil Price Shocks ◽  
Price Shocks ◽  
Content Type ◽  
The Us ◽  
The Relationship

PurposeThe purpose of this paper is to explore the effect of oil price shocks on the US Consumer Price Index over the monthly period from 1876:01 to 2014:04.Design/methodology/approachThe author uses the Bai and Perron (2003) structural break test to split the data sample into sub-periods delimited by the computed break dates. Afterwards, the author uses the quantile treatment effects over the full sample and then, by including sub-periods dummies to accommodate the selected structural breaks that drive the relationship between inflation and oil price growth.FindingsThe findings include a decreased transmission effect of oil price changes on inflation in recent years; a varied elasticity of inflation to the growth rate of oil prices across the distribution; and, finally, evidence of asymmetry in the relationship between the growth rate of oil prices and inflation, with a higher transmission mechanism for decreasing rather than increasing oil prices.Practical implicationsPolicymakers should remain alert to monitoring potential inflation increases and should take precautionary measures to anchor inflation expectations, because inflation reacts differently to positive and negative oil price shocks. Moreover, authorities should consider the asymmetric reaction of inflation to oil price shocks to adopt an appropriate monetary policy strategy to achieve the price stability target.Originality/valueThe paper used a quantile regression model with structural breaks, which has not yet been used in the literature.

scholarly journals WTI OIL SHOCKS IN EASTERN EUROPEAN STOCK MARKETS: A VAR APPROACH

2021 ◽  
Author(s):  
Rui Dias ◽  
◽  
Hortense Santos ◽  
Paula Heliodoro ◽  
Cristina Vasco ◽  
...  
Keyword(s):  
Stock Markets ◽  
Oil Prices ◽  
Oil Price ◽  
Portfolio Diversification ◽  
Oil Shocks ◽  
Eastern European ◽  
Safe Haven ◽  
Wald Tests ◽  
Stock Indices ◽  
European Stock Markets

The 2020 Russia-Saudi Oil Price War was an economic war triggered in March 2020 by Saudi Arabia in response to Russia’s refusal to reduce oil production to keep oil prices at a moderate level. In view of these events, this study aims to analyze oil shocks (WTI) in the eastern European stock markets, namely the stock indices of Hungary (BUX), Croatia (CROBE), Russia (MOEX), Czech Republic (PRAGUE), Slovakia (SAX 16), Slovenia (SBI TOP), Bulgaria (SOFIX), from September 2019 to January 2021. The results show mostly structural breakdowns in March 2020, while the VAR Granger Causality/Block Exogeneity Wald Tests model shows two-way shocks between oil (WTI) and the stock markets analyzed. These findings show that the hypothesis of portfolio diversification may be called into question. As a final discussion, we consider that investors should avoid investments in stock markets, at least as long as this pandemic last, and rebalance their portfolios into assets considered “safe haven” for the purpose of mitigating risk and improving the efficiency of their portfolios.

scholarly journals Oil Market Shocks and Financial Instability in Asian Countries

2021 ◽  
Author(s):  
Fakhri Hasanov
Keyword(s):  
Stock Market ◽  
Financial Markets ◽  
Oil Prices ◽  
Financial Instability ◽  
Asian Countries ◽  
Fair Share ◽  
Economic Variables ◽  
Oil Market ◽  
Market Shocks ◽  
The Relationship

There is no commodity whose interlinkages with the macroeconomy have been studied as extensively as oil, starting with Hamilton’s (1983) seminal study. Thousands of subsequent studies have examined the relationship between oil prices and various economic variables, including the stock market. This strand of the literature began with the pioneering work of Kling (1985). Since then, other financial markets, such as banking, have also received a fair share of analysis.

scholarly journals Daqing Crude Oil Price Forecast Based on the ARIMA Model

2015 ◽  
Vol 8 (1) ◽  
pp. 457-462
Author(s):  
Li Quan
Keyword(s):  
Crude Oil ◽  
Arima Model ◽  
Oil Prices ◽  
Industrial Country ◽  
Oil Price ◽  
Crude Oil Price ◽  
Major Industrial Country ◽  
Price Forecast ◽  
Industrial Economy ◽  
Monthly Average

Oil is the lifeblood of the industrial economy, oil prices are affected by many factors. China is a major industrial country, changes in the price of oil will affect many aspects of economic development, and therefore the price of crude oil research is extremely important. In this paper, monthly average prices of crude oil in Daqing from January 2000 to December 2010 are utilized to do the research. Based on ARIMA model by building software using EVIEWS, rule of oil price movements is found and a prediction of oil price is made using the data from the first 10 months of 2011.

scholarly journals Oil price effect on sectoral stock returns: A conditional covariance and correlation approach for Mexico

2020 ◽  
Vol 16 (1) ◽  
pp. 1-15
Author(s):  
Rodrigo A. Morales Fernández Rafaelly ◽  
Roberto J. Santillán-Salgado
Keyword(s):  
Stock Returns ◽  
Stock Exchange ◽  
Spillover Effect ◽  
Oil Prices ◽  
Oil Price ◽  
Price Effect ◽  
Stock Market Performance ◽  
Original Contribution ◽  
Bivariate Garch Model ◽  
The Relationship

This paper analyzes the relationship between the volatility of oil price and selected sectoral stock returns in Mexico (industrials, materials, financials and consumer discretionary) by implementing a Diagonal VECH-type bivariate GARCH model in order to estimate conditional covariances and correlations. The econometric results suggest that there exists a statistically significant relationship between sector indices, as well as between Mexico’s aggregate stock exchange returns, and variations in oil prices. Conditional correlations suggest that during most of the analyzed period, the relationship between oil price fluctuations and sectoral stock returns is positive. The recommendation, supported by these results, is that investors should take into consideration the interaction between the analyzed variables in order to generate more robust risk-hedge strategies. An important limitation for this work is information availability at sector level in the country. The original contribution of this paper lies mainly in the analysis of the influence of oil prices over sectoral indices of the Mexican Stock Exchange. These results provide more support to the current that suggests that a price increase in oil has a direct spillover effect on stock market performance.

Sign in / Sign up

Export Citation Format

Share Document