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Author: Mohan Singh Nandha
Publisher:
ISBN:
Category :
Languages : en
Pages : 408
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Book Description
Oil is a special type of commodity which plays a significant role in modem economic activity. The influence of the oil (crude oil) price on stock markets is often recognised and reported in the financial press. This thesis examines the role of the oil price in explaining stock market returns. By applying different methodologies and datasets, empirical evidence has been gathered on various dimensions of the issue which include short-run and long-run comparisons, cross-country analysis, sector¬focused analysis, cross-sector comparisons and a global view. Four of the studies included in this thesis use multi-country data and four are based on multi-sector equity data. Overall, all countries and all sectors (subject to data availability) have been covered in one or another study. Results of a study focused on India, Pakistan and Sri Lanka (all net oil importers) indicate several industries to be significantly sensitive to the oil price factor in the long-run, whereas very little sensitivity to oil price is detected in the short run. Perhaps, this might be an indication that because of the regulated nature of fuel pricing in all three countries, it could take time before the price change is aJlowed to impact consumers and firms. Cross country and cross sector comparisons suggest that the oil price impact on stock market returns is inconsistent across countries and varies across sectors. These differences might be a consequence of regulatory and structural disparities across countries. Across sector variations may result from differing sector abilities to pass on higher fuel costs to customers. In addition, intensity of a sector to the use of oil and its by-products would also make a difference. Two of the studies are sector focused, covering the 'oil and gas' and 'transportation' sectors. These sectors are special in a sense that oil is the main output for the first sector and a major cost component for the second sector. Evidence from the U.S. market suggests that oil and gas stock returns are positively sensitive to the oil price, but an oil risk premium is not priced in the returns. This finding could suggest that oil price risk is diversifiable or can be effectively hedged by investors in oil and gas stocks. The transport sector focused study provides a global perspective in a sense that all countries are covered. This study is supportive of oil playing a jointly significant role in the transport sector returns for the Developed, Europe and 07 country groups. Finally, a study based on global sector indices is indicative of a negative impact on all sector returns except the mining, and oil and gas sectors. These results are consistent with the theoretical logic that a rise in the oil price is likely to reduce the profitability of firms which use oil and/or by-products of oil. This type of agreement between the theory and empirical evidence may also suggest that globally diversified and sector specific portfolios are the best choice for analysing the oil price sensitivity of stock market returns. Overall, oil appears to have some connectivity with the pricing of equities but various types of cross country and cross sector disparities make the pricing dynamics complex and difficult to quantify in exact terms.
Author: Mohan Singh Nandha
Publisher:
ISBN:
Category :
Languages : en
Pages : 408
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Book Description
Oil is a special type of commodity which plays a significant role in modem economic activity. The influence of the oil (crude oil) price on stock markets is often recognised and reported in the financial press. This thesis examines the role of the oil price in explaining stock market returns. By applying different methodologies and datasets, empirical evidence has been gathered on various dimensions of the issue which include short-run and long-run comparisons, cross-country analysis, sector¬focused analysis, cross-sector comparisons and a global view. Four of the studies included in this thesis use multi-country data and four are based on multi-sector equity data. Overall, all countries and all sectors (subject to data availability) have been covered in one or another study. Results of a study focused on India, Pakistan and Sri Lanka (all net oil importers) indicate several industries to be significantly sensitive to the oil price factor in the long-run, whereas very little sensitivity to oil price is detected in the short run. Perhaps, this might be an indication that because of the regulated nature of fuel pricing in all three countries, it could take time before the price change is aJlowed to impact consumers and firms. Cross country and cross sector comparisons suggest that the oil price impact on stock market returns is inconsistent across countries and varies across sectors. These differences might be a consequence of regulatory and structural disparities across countries. Across sector variations may result from differing sector abilities to pass on higher fuel costs to customers. In addition, intensity of a sector to the use of oil and its by-products would also make a difference. Two of the studies are sector focused, covering the 'oil and gas' and 'transportation' sectors. These sectors are special in a sense that oil is the main output for the first sector and a major cost component for the second sector. Evidence from the U.S. market suggests that oil and gas stock returns are positively sensitive to the oil price, but an oil risk premium is not priced in the returns. This finding could suggest that oil price risk is diversifiable or can be effectively hedged by investors in oil and gas stocks. The transport sector focused study provides a global perspective in a sense that all countries are covered. This study is supportive of oil playing a jointly significant role in the transport sector returns for the Developed, Europe and 07 country groups. Finally, a study based on global sector indices is indicative of a negative impact on all sector returns except the mining, and oil and gas sectors. These results are consistent with the theoretical logic that a rise in the oil price is likely to reduce the profitability of firms which use oil and/or by-products of oil. This type of agreement between the theory and empirical evidence may also suggest that globally diversified and sector specific portfolios are the best choice for analysing the oil price sensitivity of stock market returns. Overall, oil appears to have some connectivity with the pricing of equities but various types of cross country and cross sector disparities make the pricing dynamics complex and difficult to quantify in exact terms.
Author: Junchuan Jesse Zeng
Publisher:
ISBN:
Category : Electronic dissertations
Languages : en
Pages : 104
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Book Description
This dissertation studies two major topics related to the crude oil price and the economy. The first topic studied is about the relationship between speculation and the crude oil price and the related implications on the macroeconomic growth and inflation. The second topic is about the relationship between the oil price volatility and the US stock market. It includes two subtopics: i) the volatility spillovers between the crude oil market and the US stock market and ii) the relationship between oil price volatility and real stock returns on the US market. This dissertation has four chapters, with each of the two major topics studied relatively independently in their respective chapters. In the first chapter, we introduce the background and motivation for the topics studied in this dissertation. Additionally, we also give an overview of the results and important findings. In the second chapter, we examine the impact of speculative information on the oil price and the corresponding implications on the macroeconomy. We use a structural vector autoregression (VAR) model to decompose the shocks of the crude oil price and use the gold price as a proxy for the speculative information. We argue that using the gold price to account for speculative information is a very informative alternative to the other indicators used in literature. Our results show that speculative information plays a very important role in driving crude oil price shocks; it accounts for about 20% of the variation of the oil price. Furthermore, we show that speculative shocks to the crude oil price are correlated to future macroeconomic downturns. We also show that speculative shocks may create inflation pressure, although the effect is not as strong as that on the macroeconomic output growth. In the third chapter, we use a generalized autoregressive conditional heteroskedasticity (GARCH) specification to model the volatility on both the oil and stock markets and then utilize an extension of the GARCH-M (GARCH in mean) vector autoregression (VAR) model introduced in Elder (2004) to capture the volatility spillover relationship between the two markets and the relationship between the volatility of the oil price and stock returns at the same time. Further, we detect a structural change of the oil price-stock returns relationship near the middle of 1987. A unidirectional volatility spillover from the stock market to the oil market is found to be statistically significant before the break, while a negative relationship between oil price volatility and the conditional mean of stock returns is more pronounced afterwards. We argue that several events happening around the break point are likely to be the causes for the structural change. In the last chapter, we summarize the work and highlight the important results in this dissertation. In addition, we also discuss possible future research directions.
Author: Abderrazak Dhaoui
Publisher:
ISBN:
Category :
Languages : en
Pages :
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Author: Vaneet Bratia
Publisher: Dayalbagh Educational Institute
ISBN: 9788787159036
Category :
Languages : en
Pages : 0
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Book Description
The objective of this thesis is to investigate the dynamic conditional correlation between commodity markets (crude oil and precious metals) and stock markets in a transnational set-up. This thesis is segregated into three independent essays. First essay investigates the dynamic conditional correlation between crude oil and precious metals (gold, silver, platinum and palladium). Second essay examines the dynamic conditional correlation between precious metals (gold, silver, platinum and palladium) and stock indices of representative advanced (G7) and emerging economies (BRICS) over newlinedifferent time horizons. Third essay aims to scrutinize the time varying relationship newlinebetween crude oil and stock markets (G7 and BRICS). This thesis primarily employs newlineGARCH models to analyse the dynamic relationship between selected variables. newlineResults of this thesis can be summarised as follows. First essay indicates that, on an newlineaverage the dynamic conditional correlation between crude oil and precious metals newlineincrease during the periods characterised by unexpected events and events with newlineuncertain outcomes. Different precious metals respond differently to the changes in the newlineprices of crude oil. Markov switching approach (two regime model) shows that the newlinerelationship between crude oil and precious metals persist in both regime one and newlineregime two for different time durations. Moreover, the strength of the relationship newlinevaries with regimes, indicating the non-linear relationship between crude oil and newlineprecious metals. newlineFindings of the second essay indicate that the dynamic conditional correlation between newlineprecious metals and stock markets varies with timescales (short-run and long-run) both newlinein terms of dynamicity and strength of relationship. Developed (G7) and emerging newline(BRICS) markets exhibit different dynamic patterns over the study period. Both at newlinereturns level (without time scale decomposition) and higher timescales (16-128 weeks), the dynamic conditional correlation between stock markets and precious metals in the case of developed natio
Author: Mondher Bellalah
Publisher: Cambridge Scholars Publishing
ISBN: 1443833126
Category : Business & Economics
Languages : en
Pages : 880
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Book Description
Financial markets, the banking system, and the real estate, commodity and energy markets have, since 2007, been experiencing higher integration, more volatility and have undergone several shocks. More coordination is needed between G20 and market authorities. Regulators, banking supervision agencies and politicians are worried about economic growth and financial crisis. This book covers seven aspects related to financial economic issues, along with some connected topics. The first covers risk assessment, corporate governance and value creation through an appropriate risk management system. The second covers international investments, market correlation, institutional holdings and market reactions during crisis. The third part is devoted to empirical and quantitative analysis of the observed economics and finance issues. The fourth part is devoted to the role of debt in financial crisis and its impact on financial markets and the world economy. The fifth part is devoted to debt policy, free cash flows and the structure of governance. The sixth part deals with management control and the importance of communication. The last part covers Islamic finance as an alternative to conventional finance for the debt solution, the importance of the energy sector and the role of financial innovations.
Author: Hankyeung Choi
Publisher:
ISBN:
Category :
Languages : en
Pages :
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Book Description
In this dissertation, three related issues concerning empirical time series models for energy financial markets and the stock market were investigated. The purpose of this dissertation was to analyze the interdependence of price movements, focusing on the forecasting models for crude oil prices and the hedging models for gasoline prices, and to study the change in the contemporaneous causal relationship between investors' activities and stock price movements in the Korean stock market. In the first essay, the nature of forecasting crude oil prices based on financial data for the oil and oil product market is examined. As crack spread and oil-related Exchange-Traded Funds (ETFs) have enabled more consumers and investors to gain access to the crude oil and petroleum products markets, I investigated whether crack spread and oil ETFs were good predictors of oil prices and attempted to determine whether crack spread or oil ETFs were better at explaining oil price movements. In the second essay, the effectiveness of diverse hedging models for the unleaded gasoline price is examined using futures and ETFs. I calculated the optimal hedge ratios for gasoline futures and gasoline ETF utilizing several advanced econometric models and then compared their hedging performances. In the third essay, the contemporaneous causal relationship between multiple players' activities and stock price movements in the Korean stock market was investigated using the framework of a DAG model. The causal impacts of three players' activities in regard to stock return and stock price volatility are examined, concentrating on foreign investor activities. Within this framework, two Korean stock markets, the KSE and KOSDAQ markets, are analyzed and compared. Recognizing the global financial crisis of 2008, the change in casual relationships was examined in terms of pre- and post-break periods. In conclusion, when a multivariate econometric model is developed for multi-markets and multi-players, it is necessary to consider a number of attributes on data relations, including cointegration, causal relationship, time-varying correlation and variance, and multivariate non-normality. This dissertation employs several econometric models to specify these characteristics. This approach will be useful in further studies of the information transmission mechanism among multi-markets or multi-players.
Author: Abdulla Alikhanov
Publisher: LAP Lambert Academic Publishing
ISBN: 9783846550229
Category :
Languages : en
Pages : 84
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Book Description
The purpose of our paper is to examine the relationship and interactions between oil price movements and stock markets in main two oil exporting countries - Russia and Norway and test how and to what extent oil prices together with other variables influence stock markets. Some macroeconomic explanatory variables that are directly linked to stock market performance are included to our model, too. The notion of comparative analysis of oil price changes and stock market performance between a developing country- Russia and a developed country- Norway is also one of the major empirical aspects of our master thesis. First, we run simple OLS regression to understand the effect of oil prices on stock returns. In order to examine deeply the interaction and impact among different variables, we employ a VAR model. Results reveal a diverse pattern in all share and industrial level in two markets. Finally, for further analysis, we run asymmetric tests using dummy variables to show the difference between oil price increases and the normal case.
Author: Constantinos Katrakilidis
Publisher:
ISBN:
Category :
Languages : en
Pages :
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Book Description
We investigate the dynamic linkages between oil prices and the stock market behaviour in a small and oil dependent economy. Particularly, we analyse empirically the relationships among stock market returns, the volatility of the stock market index, the oil price and the volatility of oil price in Greece. We employ VAR modelling in conjunction with Granger-causality tests. Contrary to the majority of the internationally reported evidence, our findings show the existence of significant positive causal effects from oil price changes on the stock market.
Author: Ben S. Bernanke
Publisher: MIT Press
ISBN: 9780262523233
Category : Business & Economics
Languages : en
Pages : 398
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Book Description
Current issues in macroeconomics.
Author: Tatevik Zohrabyan
Publisher:
ISBN:
Category :
Languages : en
Pages :
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Book Description
Financial market and its various components are currently in turmoil. Many large corporations are devising new ways to overcome the current market instability. Consequently, any study fostering the understanding of financial markets and the dependencies of various market components would greatly benefit both the practitioners and academicians. To understand different parts of the financial market, this dissertation employs time series methods to model causality and structure and degree of dependence. The relationship of housing market prices for nine U.S. census divisions is studied in the first essay. The results show that housing market is very interrelated. The New England and West North Central census divisions strongly lead house prices of the rest of the country. Further evidence suggests that house prices of most census divisions are mainly influenced by house price changes of other regions. The interdependence of oil prices and stock market indices across countries is examined in the second essay. The general dependence structure and degree is estimated using copula functions. The findings show weak dependence between stock market indices and oil prices for most countries except for the large oil producing nations which show high dependence. The dependence structure for most oil consuming (producing) countries is asymmetric implying that stock market index and oil price returns tend to move together more during the market downturn (upturn) than a market boom (downturn). In the third essay, the relationship among stock returns of ten U.S. sectors is studied. Copula models are used to explore the non-linear, general association among the series. The evidence shows that sectors are strongly related to each other. Energy sector is relatively weakly connected with the other sectors. The strongest dependence is between the Industrials and Consumer Discretionary sectors. The high dependence suggests small (if any) gains from industry diversification in U.S. In conclusion, the correct formulation of relationships among variables of interest is crucial. This is one of the fundamental issues in portfolio analysis. Hence, a thorough examination of time series models that are used to understand interactions of financial markets can be helpful for devising more accurate investment strategies.
