Download or read book Co Integration and Causal Relationship Among Crude Oil Prices Exchange Rate and Stock Market Performance written by Sanjeeta Shirodkar and published by . This book was released on 2020 with total page 9 pages. Available in PDF, EPUB and Kindle. Book excerpt: This paper has made an attempt to evaluate the combined impact of crude oil prices and exchange rate on the performance of Indian stock market. As the impact of dollar nominated oil prices on stock prices may not be quite relevant for Indian context. Therefore, in this study WTI Crude oil prices per Dollars along with the USD/Rupee exchange rate would be more meaningful and relevant to understand the impact of oil prices on stock market by using monthly data from 2003 to 2016 for S&P CNX Nifty Index, WTI Crude oil prices per Barrel (Dollars) and Dollar/Rupee Exchange rate. All the series were found to be stationery at First difference. The Granger causality tests revealed that there exists a Bi directional causality between stock prices and exchange rates in the short run i.e. stock prices lead exchange rates in the short run, but result of Johansen cointegration suggested that there is no long run relationship between these two financial variables. The results of the Johansen cointegration test suggest absence of any long term relationship between WTI crude oil price, USD/Rupee exchange rate and stock prices in India. The result of forecast error variances suggested that USD/Rupee exchange rate is influenced by Stock market performance. The forecast error variances of USD/Rupee exchange rate is significantly explained by the value of Nifty. Results also indicate that the values of oil price and exchange rate are comparatively less exogenous than the Indian stock market. Particularly, the contribution of Stock market shocks to the USD/Rupee exchange rate is greater than that of WTI Crude oil price shocks in all the periods.

Download or read book On Dynamic Relationship Among Oil Prices Exchange Rate and Stock Prices in India written by Vanita Tripathi and published by . This book was released on 2015 with total page 28 pages. Available in PDF, EPUB and Kindle. Book excerpt: This paper examines the long run and short run dynamics among oil prices, exchange rates and stock prices in India (one of the fastest growing emerging markets in the world) over the most recent 15 year period 1997-2011. Using Johansen's Co integration test we find the existence of long run equilibrium relationship among oil market, foreign exchange market and stock market in India. The short term dynamics among the three markets are analyzed using Vector Autoregression (unrestricted as well as VECM), VAR causality/Block Exogeneity Wald test and Impulse response analysis. We find unidirectional causality from stock market to oil market. An impulse originating in foreign exchange market results in a profound drop in stock as well as oil prices and is statistically significant for about three weeks in oil market and two weeks in stock market. The domino effect of up-waves in stock market is positive for oil market and remains statistically significant for few weeks, while being of opposite tendency in foreign exchange market. The optimism of oil market bulls up stock market in India while creating bearish trends in foreign exchange market. An assessment of impulse response graphs in pre-crisis, during crisis and post crisis period exhibits that the riposte of all the variables to a shock generating from within stays for a relatively longer period during crisis as compared to pre and post crisis period. These results have wider implications for market integration, policy makers and investors at large. Since these markets are integrated rather than segmented, from the perspective of investments, risk reduction cannot be achieved in the long run by holding assets from these markets in the same portfolio. However diversification opportunities are not ruled out in the short run. Stock market turns out to be the leader in all the three markets especially after the recent financial crisis. Rapidly rising stock prices in India signal the expectation of higher economic growth ahead. If the stock prices get trapped in a bubble, however, oil prices will overshoot in relation to economic fundamentals.

Download or read book Dynamic Linkages and Volatility Spillover written by Bhaskar Bagchi and published by Emerald Group Publishing. This book was released on 2016-11-01 with total page 224 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book examines the dynamic relationship and volatility spillovers between crude oil prices, exchange rates and stock markets of emerging economies. Unfortunately very little research has been conducted to analyze the volatility spillovers and dynamic relationship between crude oil prices, exchange rates and stock markets of India.

Download or read book An Analysis of Interaction Among Macroeconomic Variables Through Cointegration and Causality Approach written by Khalid Ashraf Chisti and published by . This book was released on 2020 with total page 15 pages. Available in PDF, EPUB and Kindle. Book excerpt: This paper aims at examining the relationship between stock market prices (Nifty 50) India & macroeconomic variables (Exchange rate, Foreign Institutional Investment and Crude oil prices) for the period 2007-08 Q1 to 2017-18 Q3. In order to achieve the objectives of the study, the researchers employed Granger Causality, multiple regression and Johansen's Cointegration test. The results confirmed that there is a unidirectional relationship between crude oil prices and stock prices. Further the study confirms that FII and Oil prices are individually capable of influencing stock prices. Johansen's Cointegration test exhibits the absence of long run relationship between stock prices and macroeconomic variables (Exchange Rate and Oil prices). However, the findings put forth by the present study affirmed that Foreign Institutional Investment and Oil prices are capable of individually influencing Stock prices of Nifty 50. The null hypothesis of regression model, that is, macroeconomic variables have no impact on stock prices has been rejected because the f-statistic shows that the macroeconomic variables have statistically significant relationship with stock prices (Nifty 50).

Download or read book A Dynamic Relationship Between Us Dollar Exchange Rate and Indian Crude Oil Prices written by Dr. Arpit Sidhu and published by . This book was released on 2020 with total page 8 pages. Available in PDF, EPUB and Kindle. Book excerpt: Present paper investigates the relationship among oil prices and exchange rates in Indian market. Present paper uses two econometrics tools of dependence to establish co-movement amongst the variables viz. Johansen co-integration and Granger Causality tests to demonstrate that the foreign exchange value of the US dollar (Crude oil prices) has a substantial impact on the prices of crude oil (Exchange rate of US dollar) in long-term as well as short-term or not. The results evidenced that data is stationary at first difference order. However, Johansen co-integration suggests no co-integrating equation. It signifies the possibilities to take advantage from arbitrage activities in the long-run through diversification of the investment portfolios in these two non-integrated markets. Granger causality and Wald statistics evidences unidirectional causality flowing from exchange rate to oil prices but not vice-versa. Since exchange rate granger causes the oil prices, the participants in the foreign exchange market can use information of exchange rates to improve the forecast of crude oil prices. The results of present study have policy implications for oil importing countries to frame foreign exchange risk management, fiscal and monetary policies in such a way to control exchange rate induced pressures on crude oil prices as crude oil prices predominantly affect the emerging oil dependent industrialized economies like India.

Download or read book Cointegration and Causal Relationship Between Exchange Rates and Stock Returns written by Satish Batchu and published by . This book was released on 2015 with total page 10 pages. Available in PDF, EPUB and Kindle. Book excerpt: The present study investigate the relationship between sensex returns and Indian-USD Exchange rates and the impact of the time series on each other. Exchange rate fluctuation will effect international trades, thus influence the stock market. The study is based on the secondary sources obtained from BSE and RBI database for the period from 1st January 2005 to 30th June, 2015. In the course of analysis, appropriate econometrics tools are used. ADF and PP Unit root test shows stationarity at level. Johansen cointegration test result indicates that there exist a long term relationship among the select variables. Correlation between exchange rates and stock rates was found to be negative. Granger causality test highlighted unidirectional relationship running from stock returns to exchange rates.

Download or read book A Cointegration and Causation Study of Gold Prices Crude Oil Prices and Exchange Rates written by Shilpa Lodha and published by . This book was released on 2018 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Using daily data for a period of nine years from May 2005 to June 2014, the present study examines the long-run and short-run interdependence between USD/INR exchange rates, gold prices and crude oil prices. The preliminary observation suggests that the three series are non stationary at level, but stationary at first difference, which suggests possiblity of long-run interdependence between the series. Therefore, the long-run relationship is tested using Johansen cointegration test. However, the results reveal there is no long-run interdependence between the variables. The study also examines the short-run relationship using Granger causality test and VAR model. The results reveal that a bidirectional Granger causality exists between crude oil and USD/INR exchange rate, whereas unidirectional Granger causality runs from crude oil to gold price series.

Download or read book Exchange Rates and Oil Prices written by Robert A. Amano and published by . This book was released on 1995 with total page 28 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Nexus Between Crude Oil Price Exchange Rate and Stock Market written by Muhammad Ashiq Am and published by . This book was released on 2017 with total page 3 pages. Available in PDF, EPUB and Kindle. Book excerpt: The relationship between stock prices and macroeconomic variables like crude oil price, exchange rate, gold price, GDP, Inflation etc. have been widely studied in the context of developed countries and few studies on emerging and developing countries are also done. An attempt is made here to study specifically the impact of crude oil price volatility on stock prices and exchange rates on the basis of crude oil export and import volume. Monthly data from January 2004 to December 2015 has been collected for nine countries from the list of top 20 oil importing and exporting countries for stock prices, exchange rate of each country against US dollar. We use the Johansen Fisher Panel Cointegration Test to ensure the existence of long-run relation and Fully Modified OLS (FMOLS) to estimate the Cointegrating parameters. Results reveals that there is a long run equilibrium relationship among Stock price, Exchange rate and Oil price in the case of both panels of selected countries.

Download or read book VAR Analysis on Mutual Relationship Between Stock Price Index and Exchange Rate and the Role of World Oil Price and World Gold Price written by Filus Raraga and published by . This book was released on 2015 with total page 17 pages. Available in PDF, EPUB and Kindle. Book excerpt: This study aims to analyze the influence of world oil price and world gold price on mutual relations between exchange rate and stock price index. This study uses monthly data of exchange rate (IDR/US$) and JCI from January 2000 to January 2013. Co integration test was used in analyzing long-term relationships between variables. VAR model was used in determining whether world oil prices and world gold price affect the exchange rate and stock index, and analyze the interrelationships between exchange rate and stock price index. Impulse Response Analysis is used to determine the response of exchange rate and the stock price index on world oil price shocks and world gold price shocks. Analysis of Variance Decomposition is used to determine the role of world oil prices and world gold prices in explaining the movement of exchange rate and JCI. Co integration analysis results show that all the variables, ie, world oil prices, gold prices, exchange rates and JCI have long run co integration. The analysis showed that the world oil price has significant effect on the exchange rate but has no effect on JCI; the world gold price has no effect on exchange rate and JCI; exchange rate has significant effect on JCI and vice versa. Granger causality test showed that JCI and exchange rate have bidirectional relationship. Impulse Response Analysis results indicate that the world oil price shocks responded negatively by exchange rate; shocks in world gold prices responded negatively by JCI and exchange rate; exchange rate changes responded positively by JCI, and JCI changes responded positively by exchange rate.

Download or read book An Econometric Investigation of Long and Short Run Relationship Among Crude Oil Price Exchange Rate and Stock Price in India written by Shekhar Mishra and published by . This book was released on 2016 with total page 19 pages. Available in PDF, EPUB and Kindle. Book excerpt: The present study aims to investigate the long and short run relationship between Crude Oil Price, Exchange Rate Volatility and Stock Price in India using ARDL-UECM approach. The study used monthly data from the period April 2000 to January 2015. The cointegration result reveals that crude oil price tends to have long run relationship with exchange rate and stock price and changes in the independent variables have significant impact on volatility of crude oil prices. The long run estimates of ARDL Process indicate that impact of exchange rate volatility on crude oil is negative whereas the interaction between NSE Stock price and crude oil price is positive. The Short Run Dynamic coefficients associated with long run relationships reveals that the estimated error correction coefficient is negative which indicates that adjustment process from short run deviation is quite slow. The analysis would enhance the understanding of dynamic interaction between the crude oil price, exchange rate and stock price. The empirical outcome is of wider interest and has large implications for market integration, policy makers and investors at large.

Download or read book Impact of Crude Oil Price and Exchange Rate on Performance of Indian Stock Market written by Saurabh Singh and published by . This book was released on 2016 with total page 13 pages. Available in PDF, EPUB and Kindle. Book excerpt: This paper attempts to investigate empirically the dynamic relationship among crude oil price, exchange rate and Indian stock market. Using daily data of Crude oil price, Dollar-Rupee value and Nifty returns from April 2010 to March 2015, correlation, regression and Granger-causality approach in a bi-variate VAR framework has been used to investigate the causality between crude oil and nifty returns; exchange rate and nifty returns. Augmented Dickey Fuller (ADF) test has been used to test whether the data is stationary or not. The outcome of the study was there is a significant negative correlation between nifty returns and exchange rate and significant positive correlation between nifty returns and crude oil, and a unidirectional causality running from nifty returns to exchange rates and crude oil price to nifty returns.

Download or read book Cointegration and Priority Relationships Between Energy Stocks and Oil Prices written by Yongli Luo and published by . This book was released on 2014 with total page 11 pages. Available in PDF, EPUB and Kindle. Book excerpt: This study investigates the cointegration and priority relationships between large-cap energy stocks and oil price changes over the last decade. The results reveal that energy stock prices have a long run linear relationship with oil price fluctuations. Asset prices are affected by the oil price deviations from the long run equilibrium as well as the short run dynamics. Moreover, some particular energy stocks have Granger causal impacts on oil market as well. The existence of this bivariate long run cointegration implies that employing portfolio diversification between these two markets would be efficient.

Download or read book Long Run Relationship Between Aggregate Stock Prices and Macroeconomic Factors in BRICS Stock Markets written by Vanita Tripathi and published by . This book was released on 2016 with total page 29 pages. Available in PDF, EPUB and Kindle. Book excerpt: This paper comprehensively examines the long run relationship between aggregate stock prices and select macroeconomic factors (i.e., GDP, Inflation, Interest Rate, Exchange Rate, Money Supply and International Oil Prices) in the emerging BRICS markets over the period 1995 to 2014 using quarterly data. To assess the impact of global financial crisis on this relationship, we consider two sub periods viz., a Pre Crisis period (1995:Q1 to 2007:Q2) and a Post Crisis Period (2007:Q3 to 2014:Q4). Long Run Granger Causality Test, Johansen's Cointegration Test (both Bivariate & Multivariate) and Vector Error Correction Mechanism (VECM) are applied. Overall, we find that there is unidirectional long run causality from Stock prices to GDP, Inflation & Interest Rate. A bidirectional long run causal relationship of Stock prices is found with Money Supply and Oil Prices. Also, the long run granger causal relationship differs significantly between pre and post crisis periods for all the macroeconomic variables. Johansen's Cointegration results suggest presence of long run equilibrium relationship between BRICS Stock prices and select Macroeconomic Factors (except Inflation and Oil Prices). There was no major difference in cointegration results in pre and post crisis periods except for Inflation and Interest rate, implying that global financial crisis has led to greater long run integration of stock market with the real economy. VECM results indicate that error correction to restore equilibrium is more in stock market than in macroeconomic factors. Thus, in times of any destabilisation or disequilibrium in long run the real economy leads the stock market to a new equilibrium. These findings, besides augmenting the empirical literature and knowledge domain on the topic, have significant implications for policy makers, regulators, academicians, researchers and investment community particularly in emerging markets.

Download or read book Asymmetric Effect of Gold and Oil Prices on Stock Market Performance in Pakistan written by Muhammad Saeed Meo and published by . This book was released on 2019 with total page 22 pages. Available in PDF, EPUB and Kindle. Book excerpt: The previous studies on stock market modelling in Pakistan context has assumed a linear relationship between stock market performance and its determinants. Most of the macroeconomic variables do not have linear properties, therefore considering asymmetric features of macroeconomic fundamentals, this study is a first attempt to explore the asymmetric impact of gold and oil prices on the stock market performance of Pakistan, covering the time period of 1990 - 2016. For the consideration of nonlinear, short-run and long-run associations between gold, oil prices and stock market performance, a novel approach of nonlinear ARDL or asymmetric ARDL is being used. The long-run parameters of the study affirm the asymmetric association between gold, oil prices and stock market performance, while short-run dynamics validate the asymmetric association between oil prices and stock market performance. Furthermore, negative and significant link between the exchange rate and the stock market was also found. The empirical outcomes propose that ignoring intrinsic asymmetries may lead to the misrepresentative implications in case of stock market performance. The achieved suggestion of asymmetries, both short and long-run dynamics could be of key prominence for more effective policy-making and to forecast the Pakistan Stock Market.

Download or read book Cointegration and Nonlinear Causality Amongst Gold Oil and the Indian Stock Market written by Elie Bouri and published by . This book was released on 2017 with total page 17 pages. Available in PDF, EPUB and Kindle. Book excerpt: The emerging economy of India counts gold and oil amongst its top imports, suggesting that the prices of these resources affect the domestic inflation and stock market. Expectations on future volatility in these prices might lead to changes in the expected (implied) volatility of the Indian stock market. Unlike prior studies, we use implied volatility indices to examine the cointegration and nonlinear causality amongst international gold, crude oil, and the Indian stock market. Results indicate the presence of cointegration relationships and a nonlinear and positive impact of the implied volatilities of gold and oil on the implied volatility of the Indian stock market. Interestingly, there is evidence of an inverse bi-directional causality between the implied volatilities of gold and oil prices.

Download or read book An Introduction to Wavelets and Other Filtering Methods in Finance and Economics written by Ramazan Gençay and published by Elsevier. This book was released on 2001-10-12 with total page 383 pages. Available in PDF, EPUB and Kindle. Book excerpt: An Introduction to Wavelets and Other Filtering Methods in Finance and Economics presents a unified view of filtering techniques with a special focus on wavelet analysis in finance and economics. It emphasizes the methods and explanations of the theory that underlies them. It also concentrates on exactly what wavelet analysis (and filtering methods in general) can reveal about a time series. It offers testing issues which can be performed with wavelets in conjunction with the multi-resolution analysis. The descriptive focus of the book avoids proofs and provides easy access to a wide spectrum of parametric and nonparametric filtering methods. Examples and empirical applications will show readers the capabilities, advantages, and disadvantages of each method. The first book to present a unified view of filtering techniques Concentrates on exactly what wavelets analysis and filtering methods in general can reveal about a time series Provides easy access to a wide spectrum of parametric and non-parametric filtering methods