scholarly journals The Turkish stock market integration with oil prices: Cointegration analysis with unknown regime shifts

2013 ◽  
Vol 60 (4) ◽  
pp. 499-513 ◽  
Author(s):  
Umut Halaç ◽  
Taşkın Dilvin ◽  
Çağlı Çağlar
Keyword(s):  
Stock Market ◽  
Stock Prices ◽  
Market Integration ◽  
Structural Breaks ◽  
Emerging Market ◽  
Oil Prices ◽  
Economic Factor ◽  
Cointegration Analysis ◽  
Dynamic Relationship ◽  
Long Run

Oil prices are often considered as a vital economic factor due to the dependence of the world economy on oil. The goal of this paper is to contribute to the literature on the dynamic relationship between oil prices and stock prices under the presence of possible structural breaks in an emerging market, Turkey. The empirical evidence suggests that the oil prices are important in explaining the stock market movements. Stock prices, oil prices and nominal exchange rates are found as cointegrated after taking structural breaks into account. Moreover, results of parameter stability test are consistent with our findings indicating that relationship between series is strong in the long-run. The results are important in the way that they show the global factors are also dominant on the Turkish stock market.

Dynamic Relationship between Crude Oil and Stock Prices in India: Before And After the Subprime Financial Crisis 2008

GIS Business ◽  
2019 ◽  
Vol 14 (6) ◽  
pp. 96-104
Author(s):  
P. Sakthivel ◽  
S. Rajaswaminathan ◽  
R. Renuka ◽  
N. R.Vembu
Keyword(s):  
Financial Crisis ◽  
Crude Oil ◽  
Stock Prices ◽  
Oil Prices ◽  
Energy Index ◽  
Data Set ◽  
Dynamic Relationship ◽  
Crude Oil Prices ◽  
Long Run ◽  
Before And After

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.

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.

scholarly journals The Impact of Macroeconomic Variables on Stock Prices in Kuwait

2019 ◽  
Vol 14 (6) ◽  
pp. 99 ◽  
Author(s):  
Ahmad M. Al-Kandari ◽  
Sadeq J. Abul
Keyword(s):  
Stock Prices ◽  
Stock Exchange ◽  
Oil Prices ◽  
Macroeconomic Factors ◽  
Macroeconomic Variables ◽  
Dynamic Relationship ◽  
Long Run ◽  
Short Run ◽  
Johansen Cointegration Test ◽  
The Impact

The Kuwaiti Stock Exchange was established in April 1977 and is among the oldest stock exchanges in the GCC countries. This study aims to add new evidence about the impact of macroeconomic factors on the Kuwaiti Stock Exchange. It examines empirically the dynamic relationship between the Kuwaiti Stock Exchange Index and the main macroeconomic variables. These variables included M2, the three-month deposit interest rate, oil prices, the US Dollar vs Kuwaiti Dinar exchange rate and the inflation rate. By applying the Johansen cointegration test, together with the Var Error Correction Model (VECM), the study found that there a long-run unidirectional relationship exists between the Kuwaiti Stock Exchange Index and the aforementioned macroeconomic variables. This study also confirmed the existence of a short-run relationship between oil prices and stock prices in Kuwait.

scholarly journals DYNAMICS OF CONSUMER EXPENDITURE AND STOCK MARKET PRICES AND UNCERTAINTY: MALAYSIAN EVIDENCE

2013 ◽  
Vol 58 (04) ◽  
pp. 1350025
Author(s):  
MANSOR H. IBRAHIM ◽  
SIONG HOOK LAW
Keyword(s):  
Stock Market ◽  
Stock Prices ◽  
Stock Price ◽  
Private Consumption ◽  
Emerging Market ◽  
Market Volatility ◽  
Stock Market Volatility ◽  
Consumer Expenditure ◽  
Market Uncertainty ◽  
Long Run

The present paper analyzes the role of stock market, more specifically real stock prices and stock market uncertainty/volatility, on private consumption behavior for an emerging market, Malaysia, using quarterly data from 1991 to 2009. Employing the autoregressive distributed lag approach to cointegration test, the paper establishes a long-run equilibrium that ties private consumption to its determinants — real income, real stock prices, real lending rate, and stock market volatility. In the long run, the presence of the stock market wealth effect is documented. At the same time, the stock market volatility is also noted to depress private consumption particularly when the volatility is at the degree as observed during the Asian crisis. The authors further note the short-run influences of real stock price changes on consumption growth and the adjustment of private consumption to the long-run level when it is modeled in an error-correction setting. Our simple simulation indicates that the drop in the private consumption due to the decline in stock market wealth post-crisis is substantial, amounting to 2.7% of average post-crisis gross domestic product.

scholarly journals Cointegration and Causality between Stock Prices and Exchange Rate: Empirical Evidence from India

2017 ◽  
Vol 8 (1) ◽  
pp. 39 ◽  
Author(s):  
D. Bhuvaneshwari ◽  
K. Ramya
Keyword(s):  
Exchange Rate ◽  
Stock Market ◽  
Stock Prices ◽  
Pearson Correlation ◽  
Causality Test ◽  
Market Prices ◽  
Dynamic Relationship ◽  
Long Run ◽  
Pearson Correlation Test ◽  
Short Run

Predicting the exchange rate fluctuations and volatility is possibly one of the very toughest exercises in economics as it affects the market movement. The dynamic relationship between stock prices and exchange rate have drawn the attention of many economists for both theoretical and empirical reasons and plays an important role in influencing the development of a country’s economy (Nieh & Lee, 2001). Therefore, the present study is focusing on stock market prices and exchange rate, which in theory, is expected that one affects the other. The US Dollar (USD)-Indian Rupee (INR) exchange rates and stock market prices of India from January 2006 to December 2015 are considered as sample data for this study. In this research, Augmented Dickey-Fuller (ADF) and Phillips-Perron (PP) unit root tests are applied to test stationarity of data and the data was found stationary at first difference. Karl Pearson correlation test was used to find the correlating relationship between the variables and it is found that both the variables are significantly correlated. Johansen’s cointegration test is applied to determine the long-run equilibrium relationship between the study variables and identified that the variables are not cointegrated. Granger causality test is employed to determine the causality and short-run relationship between the variables and the result revealed bidirectional causality between variables.

scholarly journals Can Macroeconomic Variables Explain Long Term Stock Market Movements? A Study of Nepali Capital Market

2016 ◽  
Vol 1 (1) ◽  
pp. 26-38 ◽  
Author(s):  
Niranjan Phuyal
Keyword(s):  
Stock Market ◽  
Stock Prices ◽  
Emerging Market ◽  
Wald Test ◽  
Stock Market Index ◽  
Monthly Basis ◽  
Macroeconomic Variables ◽  
Long Run ◽  
Short Run

The quest of whether there is a long-run relation between macroeconomic variables and stock prices has found significant place in literature of finance. An existence of such relation would assure long-term investors a confidence in the market as long as the macroeconomic environment is sound. This study investigated using Johansen’s cointegration method, whether a long-term association of selected macroeconomic variables existed with stock prices in the emerging market like Nepali stock market. For this objective, monthly data from January 2003 to December 2012 were used with a set of six macroeconomic variables and stock market return. The results indicated that the Nepali stock market had a long run equilibrium relationship with a set of macroeconomic variables, like inflation rate, interest rate and remittance flow with the short term disequilibrium corrected by 1.79% on monthly basis. It further showed that there was Granger causality between them. In the short run, the stock market index was affected by the lag values of NEPSE index up to six levels and remittance income, as shown by Wald test. These findings hold practical implications for policy makers, stock market regulators, investors and stock market analysts.Journal of Business and Management Studies Vol.1(1) 2016: 26-38

scholarly journals Oil prices and the US effective exchange rate: A hidden cointegration analysis

2016 ◽  
Vol 5 (4) ◽  
pp. 134 ◽  
Author(s):  
Panagiotis Rafailidis ◽  
Constantinos Katrakilidis
Keyword(s):  
Exchange Rate ◽  
Structural Breaks ◽  
Oil Prices ◽  
Cointegration Analysis ◽  
Long Run ◽  
The Us ◽  
Effective Exchange ◽  
Us Dollar ◽  
Effective Exchange Rate ◽  
The Relationship

AbstractWe investigate the long-run relationship between the US Dollar effective exchange and the oil prices (wti) over the period from January 1986 to August 2014. We allow for the relationship to be nonlinear by employing the hidden cointegration technique of Granger and Yoon (2002) and Schorderet (2004). The Quandt – Andrews approach allows accounting for structural breaks. The results reveal a long-run relationship between the two markets.

scholarly journals Disposition Effect and Return Predictability in the Tunisian Stock Market

2017 ◽  
Vol 4 (1) ◽  
pp. 1
Author(s):  
Cheïma Hmida ◽  
Ramzi Boussaidi
Keyword(s):  
Stock Market ◽  
Behavioral Finance ◽  
Stock Prices ◽  
Stock Price ◽  
Return Predictability ◽  
Capital Gains ◽  
Disposition Effect ◽  
Individual Investors ◽  
Long Run ◽  
Return Reversal

The behavioral finance literature has documented that individual investors tend to sell winning stocks more quickly than losing stocks, a phenomenon known as the disposition effect, and that such a behavior has an impact on stock prices. We examined this effect in the Tunisian stock market using the unrealized capital gains/losses of Grinblatt & Han (2005) to measure the disposition effect. We find that the Tunisian investors exhibit a disposition effect in the long-run horizon but not in the short and the intermediate horizons. Moreover, the disposition effect predicts a stock price continuation (momentum) for the whole sample. However this impact varies from an industry to another. It predicts a momentum for “manufacturing” but a return reversal for “financial” and “services”.

A Sectoral Analysis of the Role of Stock Market Development on Economic Growth: Empirical Evidence from Indian Economy

2017 ◽  
Vol 18 (4) ◽  
pp. 911-923 ◽  
Author(s):  
Madhu Sehrawat ◽  
A.K. Giri
Keyword(s):  
Economic Growth ◽  
Stock Market ◽  
Stock Prices ◽  
Stock Price ◽  
Time Series Data ◽  
Trade Openness ◽  
Series Data ◽  
Causality Test ◽  
Long Run ◽  
Short Run

The present study examines the relationship between Indian stock market and economic growth from a sectoral perspective using quarterly time-series data from 2003:Q4 to 2014:Q4. The results of the autoregressive distributed lag (ARDL) approach bounds test confirm the existence of a cointegrating relationship between sector-specific gross domestic product (GDP) and sector-specific stock indices. The empirical results reveal that sector-specific economic growth are significantly influenced by changes in the respective sector-specific stock price indices in the long run as well as in the short run. Apart from that, the control variables, such as trade openness and inflation, act as the instrument variables in explaining the variations in the sector-specific GDP of the economy. The results of Granger causality test demonstrate unidirectional long-run as well as short-run causality running from sector specific stock prices to respective sector GDP. The findings suggest that economic growth of the country is sensitive to respective sub-sector stock market investments. The findings highlight the reasons for cyclical and counter-cyclical business phase for the overall economy.

Sign in / Sign up

Export Citation Format

Share Document