The volatility has been one of the cores of the financial theory research, in addition to the futures market is an important part of modern financial markets, the futures market volatility is an important part of the theory of financial markets research.

Seminar paper from the year 2012 in the subject Business economics - Miscellaneous, grade: 1,6, Humboldt-University of Berlin (School of Business and Economics ), course: Power Games in Energy Markets, language: English, abstract: Crude oil is currently the most important source of energy in the world. Thanks to advanced production and extraction methods, and due to new discoveries, the available reserves have grown over the last ten years. During this period of time, oil prices rose considerably. These increases in price are associated with the increasing energy demands of growing economies across the planet and a shifting of weight between the physical and financial oil market. The goal of this work is to examine the correlation between physical and financial crude oil markets as well as establish an explanation for the drastic increase in crude oil price in the past decade. The work is organized as follows: To begin, the characteristics of crude oil as well as its value chain are presented and examined. This is followed by an explanation of the physical and financial oil trade. To conclude, the fundamentals of the world oil market and the financial oil trade are examined to determine the relevance of causation with respect to the recent price increase.

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.

As OPEC has loosened its grip over the past ten years, the oil market has been rocked by wild price swings, the likes of which haven't been seen for eight decades. Crafting an engrossing journey from the gushing Pennsylvania oil fields of the 1860s to today's fraught and fractious Middle East, Crude Volatility explains how past periods of stability and volatility in oil prices help us understand the new boom-bust era. Oil's notorious volatility has always been considered a scourge afflicting not only the oil industry but also the broader economy and geopolitical landscape; Robert McNally makes sense of how oil became so central to our world and why it is subject to such extreme price fluctuations. Tracing a history marked by conflict, intrigue, and extreme uncertainty, McNally shows how—even from the oil industry's first years—wild and harmful price volatility prompted industry leaders and officials to undertake extraordinary efforts to stabilize oil prices by controlling production. Herculean market interventions—first, by Rockefeller's Standard Oil, then, by U.S. state regulators in partnership with major international oil companies, and, finally, by OPEC—succeeded to varying degrees in taming the beast. McNally, a veteran oil market and policy expert, explains the consequences of the ebbing of OPEC's power, debunking myths and offering recommendations—including mistakes to avoid—as we confront the unwelcome return of boom and bust oil prices.

The time-varying correlation between oil prices returns and European industrial sector indices returns, considering the origin of the oil price shock, is investigated. A time-varying multivariate heteroskedastic framework is employed to test the above hypothesis based on data from 10 European sectors. The contemporaneous correlations suggest that the relationship between sector indices and oil prices change over time and they are industry specific. In addition, the supply-side oil price shocks result in low to moderate positive correlation levels, the precautionary demand oil price shocks lead to almost zero correlation levels, whereas the aggregate demand oil price shocks generate significant changes in the correlation levels (either positive or negative). Both the origin of the oil price shock and the type of industry are important determinants of the correlation level between industrial sectors' returns and oil prices. Prominent among the results is the fact that during the financial crisis of 2008 some sectors were providing diversification opportunities to investors dealing with the crude oil market.

This paper investigates the response of consumer price inflation to changes in domestic fuel prices, looking at the different categories of the overall consumer price index (CPI). We then combine household survey data with the CPI components to construct a CPI index for the poorest and richest income quintiles with the view to assess the distributional impact of the pass-through. To undertake this analysis, the paper provides an update to the Global Monthly Retail Fuel Price Database, expanding the product coverage to premium and regular fuels, the time dimension to December 2020, and the sample to 190 countries. Three key findings stand out. First, the response of inflation to gasoline price shocks is smaller, but more persistent and broad-based in developing economies than in advanced economies. Second, we show that past studies using crude oil prices instead of retail fuel prices to estimate the pass-through to inflation significantly underestimate it. Third, while the purchasing power of all households declines as fuel prices increase, the distributional impact is progressive. But the progressivity phases out within 6 months after the shock in advanced economies, whereas it persists beyond a year in developing countries.

Ever since crude oil became a lifeline to the world economy, there is no doubt that oil is the most traded commodity in the world’s stock markets. There have been numerous articles and research papers written about the relationship between oil prices and stock markets, and the correlation between the two. Vast majority of them have shown that there is a correlation between them, and that changes in one affect the other. However, very few have examined the determinants of co-movements between oil prices and stock markets using a vector autoregressive (VAR) model. This thesis examines determinants of co-movements between three oil importing countries stock market indices, as well as three oil exporting countries stock indices and the crude oil prices. What makes this study relevant is that it is not only examining stock indices of randomly selected countries, but it shows indices of three chosen oil importing and oil exporting countries. For the purpose of this research the oil importing countries used to demonstrate the effects in changes in determinants of co-movements between oil prices and stock markets are USA, China, and Germany. Each is chosen to represent certain parts of the world. For the oil exporting countries, we excluded countries whose entire GDP or at least huge portion of it, is only consistent of oil exports. Therefore, Norway, the European largest oil exporter, Russia, the world's second largest oil exporter, and Canada, largest North American oil exporter, are taken in order to reflect the effects of changes in determinants of co-movements in their respective stock markets. Economic policy uncertainty Index (EPU), Geopolitical Risk Index (GPR), the exchange rate between US dollar and all the other countries’ currencies. These are the factors affecting both oil prices and stock markets. EPU Index shows how often do national newspaper articles in a certain country write about issues pertaining to the economy uncertainty and policy-related matters. When it comes to GPR Index, it is based on measuring the frequency of words related to geopolitical tensions in leading international newspapers. The US dollar is the world’s most important currency; therefore, all the other countries in the world strive to maintain steady exchange rate between the US dollar and currencies of their own. By using vector autoregressive (VAR) model, this study will show the effects of each determinant on stock markets of US, Germany, China, Russia, Norway, and Canada.

This paper presents a simple macroeconomic model of the oil market. The model incorporates features of oil supply such as depletion, endogenous oil exploration and extraction, as well as features of oil demand such as the secular increase in demand from emerging-market economies, usage efficiency, and endogenous demand responses. The model provides, inter alia, a useful analytical framework to explore the effects of: a change in world GDP growth; a change in the efficiency of oil usage; and a change in the supply of oil. Notwithstanding that shale oil production today is more responsive to prices than conventional oil, our analysis suggests that an era of prolonged low oil prices is likely to be followed by a period where oil prices overshoot their long-term upward trend.

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