scholarly journals Oil Price and Stock Prices of EU Financial Companies: Evidence from Panel Data Modeling

Energies ◽  
2019 ◽  
Vol 12 (21) ◽  
pp. 4072 ◽  
Author(s):  
Alexandra Horobet ◽  
Georgiana Vrinceanu ◽  
Consuela Popescu ◽  
Lucian Belascu

Crude oil is an indispensable resource for the world economy and European Union (EU) countries are strongly dependent on oil imports. In a framework defined by generally positive correlations between oil and stock prices, the paper investigates the relationship between financial companies’ stock prices and crude oil price using a sample of major financial companies headquartered in the EU. The link between stock prices and oil price risk is modelled using a set of macroeconomic variables that includes local stock market indices, the EUR/USD exchange rate, the oil imports dependency, inflation rate, and global volatility indices. We employ panel data as the base econometric model and an ARDL extension that is more appropriated for our research objectives. Our findings show that the EU financial sector is pervasively exposed to oil price changes over the long-run and this exposure is a component of financial companies’ exposure to real economy risk factors, which points towards the key role of the financial sector in the EU economy in transmitting systemic shocks. At the same time, we detect signs of a different behavior of market investors over the short-versus the long-run concerning the valuation of financial companies’ stock prices in relation to oil price and other macroeconomic variables, which raises distressing challenges for financial authorities.

2020 ◽  
Vol 6 (12) ◽  
pp. 2381
Author(s):  
Devi Rahmiyanti ◽  
Bayu Arie Fianto

This study investigate the effect of macroeconomic variables and international stock index on the stock index Jakarta Islamic Index (JII) using monthly data over period January 2013 to December, 2018. Macroeconomic variables used in this study are inflation, exchange rate, international crude oil price, World Gold Price and for the international stock index using Dow Jones Islamic Market. The study employs the eror correction model (ECM). The empirical result reveal that there is co-integration between the four macroeconomic variables, one international stock index and stock index in Jakarta Islamic Index indicating long run equilibirium relationship. Furhther, the result reveal that with significancy 0,5% only exchange rate, international crude oil price, world gold price had significant effect on Jakarta Islamic Index while inflation and Dow jones Islamic Market did not have a significant effect on Jakarta Islamic Index.Keywords: The stock Index, the Jakarta Islamic Index, the macroeconomic variables


Author(s):  
Idowu Paul Olanitori ◽  
Olaiya Hawley Ademulegun ◽  
Olateru Olagbegi Adeparubi

Since the first oil price oscillation in 1973s, macroeconomists have viewed sharp measures in the price of oil are generally as an important source of economic vacillations. The go-slow of economic activities has important implications for economic agents and markets. Therefore, this paper models and forecasts the crude oil price, stock price and selected macroeconomic variables in Nigeria. A model predicated on the Keynesian model using yearly data between 1986 and 2016 and analysed using VECM and GARCH approaches. The findings showed that there is long run relationship through Vector Error Correction Model which was achieved well in forecasting the selected macroeconomic variables while the volatility in crude oil price and stock price causes by external and internal forces also captured by General Autoregressive Conditional Heteroskadasticity. The long run negative effect of macroeconomic variable on economy growth can be controlled by making strong fiscal and monetary policies. The 2016 recession was reinforced by all share index and exchange rate as the path of growth declined over the forecast horizon. Further checks carried out using normality test validated the choice of this work. The paper concludes that monetary and exchange rate policy consistency are decisive for smoothening business rotation vacillations and promoting market stability. JEL: L10; E30 <p> </p><p><strong> Article visualizations:</strong></p><p><img src="/-counters-/edu_01/0851/a.php" alt="Hit counter" /></p>


2020 ◽  
Author(s):  
Alexandra Lavinia Horobet ◽  
Georgiana Maria Vrinceanu ◽  
Ana-Maria Barsan

Our paper investigates the exposure to oil price fluctuations of financial companies listed on stock exchanges from Eastern European countries: Romania, Bulgaria, Hungary, Poland, Czech Republic, Slovakia, Slovenia and Croatia. Using monthly datasets covering the period from February 2010 to February 2018, we examine the relationship between stock prices of these financial companies, oil prices and other macroeconomic variables, such as local stock indices, a European stock index designed to measure the performance of companies from this region (FTSE Europe), an indicator of a country’s international price competitiveness (NEER), interest rates and an indicator of systemic stress, named Composite Indicator of Systemic Stress (CISS). Applying the panel data methodology, our results indicate an unexpected fact. We show that there is a significant exposure of financial companies to the oil price fluctuations. We discover that in the financial sector, high oil prices may have indeed positive effects on the stock prices. The price of oil has a higher impact on the stock prices of financial companies than we expected and it proved be a risk factor for this sector. Our results indirectly highlight the pervasive exposure of economies from the region to risk factors through the financial sector channels, which raises serious challenges from the perspective of macroeconomic and financial policies. Keywords: oil price, financial sector, panel data analysis


2017 ◽  
Vol 12 (1) ◽  
pp. 61-78 ◽  
Author(s):  
A. K. Giri ◽  
Pooja Joshi

AbstractThe purpose of the present study is to examine the long run and the short run relationship between stock price and a set of macroeconomic variables for Indian economy using annual data from 1979 to 2014. The long run relationship is examined by implementing the ARDL bounds testing approach to co-integration. VECM method is used to test the short and long run causality and variance decomposition is used to predict long run exogenous shocks of the variables. The results confirm a long run relationship among the variables. Evidence suggests that Economic growth, inflation and exchange rate influence stock prices positively. However, crude oil price influences the stock price negatively. This implies that the increase in oil price induces inflationary expectation in the mind of investors and hence stock prices are adversely affected. The VECM result indicates that short run and long run unidirectional causality running from economic growth and FDI to stock prices in India. The result of the variance decomposition shows that stock market development in India is mostly explained by its own shocks. The Government can take steps to control the crude oil price in India and Investors’ confidence has to be gained by boosting the economic growth of the economy through appropriate policy tools.


GIS Business ◽  
2019 ◽  
Vol 14 (6) ◽  
pp. 96-104
Author(s):  
P. Sakthivel ◽  
S. Rajaswaminathan ◽  
R. Renuka ◽  
N. R.Vembu

This paper empirically discovered the inter-linkages between stock and crude oil prices before and after the subprime financial crisis 2008 by using Johansan co-integration and Granger causality techniques to explore both long and short- run relationships.  The whole data set of Nifty index, Nifty energy index, BSE Sensex, BSE energy index and oil prices are divided into two periods; before crisis (from February 15, 2005 to December31, 2007) and after crisis (from January 1, 2008 to December 31, 2018) are collected and analyzed. The results discovered that there is one-way causal relationship from crude oil prices to Nifty index, Nifty energy index, BSE Sensex and BSE energy index but not other way around in both periods. However, a bidirectional causality relationship between BSE Energy index and crude oil prices during post subprime financial crisis 2008. The co-integration results suggested that the absence of long run relationship between crude oil prices and market indices of BSE Sensex, BSE energy index, Nifty index and Nifty energy index before and after subprime financial crisis 2008.


2017 ◽  
Vol 1 (2) ◽  
pp. 61
Author(s):  
Arif Fadlilah ◽  
Sri Hermuningsih

This research is meant to find out the influence of exchange rates and crude oil price either simultaneous or partial to the stock return at PT. Indomobil Sukses Internasional Tbk. and PT Astra Internasional Tbk. The data which is applied in this research is the automotive companies’ stock prices, Rupiah exchange rates, and crude oil price from 2006 to 2016. The multiple linear regressions are applied as the analysis technique by carrying out F test and t test. Based on the F test it is found that simultaneously the rupiah exchange rates and crude oil prices have influence to the stock return. Based on the t test it is found that partially the rupiah exchange rates have no influence to PT. Indomobil Sukses Internasional Tbk stock return but have influence to PT. Astra Internasional Tbk stock return and crude oils prices have influence to stock return. t test indicates the dominant influence to the stock return PT. Indomobil Sukses International Tbk is crude oils variable and stock return PT. Astra International Tbk is exchange rates variable


Complexity ◽  
2020 ◽  
Vol 2020 ◽  
pp. 1-12 ◽  
Author(s):  
Daniel Štifanić ◽  
Jelena Musulin ◽  
Adrijana Miočević ◽  
Sandi Baressi Šegota ◽  
Roman Šubić ◽  
...  

COVID-19 is an infectious disease that mostly affects the respiratory system. At the time of this research being performed, there were more than 1.4 million cases of COVID-19, and one of the biggest anxieties is not just our health, but our livelihoods, too. In this research, authors investigate the impact of COVID-19 on the global economy, more specifically, the impact of COVID-19 on the financial movement of Crude Oil price and three US stock indexes: DJI, S&P 500, and NASDAQ Composite. The proposed system for predicting commodity and stock prices integrates the stationary wavelet transform (SWT) and bidirectional long short-term memory (BDLSTM) networks. Firstly, SWT is used to decompose the data into approximation and detail coefficients. After decomposition, data of Crude Oil price and stock market indexes along with COVID-19 confirmed cases were used as input variables for future price movement forecasting. As a result, the proposed system BDLSTM + WT-ADA achieved satisfactory results in terms of five-day Crude Oil price forecast.


2016 ◽  
Vol 9 (1) ◽  
pp. 62-80 ◽  
Author(s):  
Waheed Ibrahim

Abstract This study investigates the determinants of real effective exchange rate in Nigeria for the period between 1960 and 2015 using the vector error correction mechanism to separate long run from the short run fundamentals. The findings from the regression estimates revealed that; terms of trade, openness of the economy, net capital inflow and total government expenditure were the major long run determinants of real effective exchange rate in the country while variables such as; broad money supply (M2), nominal effective exchange rate, structural adjustment program dummy, June 12 crisis and change to civil rule dummies were revealed as the major short run determinants of exchange rate in Nigeria between 1960 and 2015. The study concludes by recommending that since the major variable of terms of trade (crude oil price) is out of the government control, the effect of shocks due to the fluctuations of crude oil price can be minimized by shifting the economy from a mono-product nation and diversify the economy to increase productive capacity. Also, the change to civil rule dummy used in the study revealed that the system has not been friendly with the country’s real effective exchange rate, thus needing to review the system and bringing out all negative activities there in to ensure Nigeria’s currency appreciation. Guided openness is also suggested to avert the danger that unguided trade liberalization may bring into the country.


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


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