Forecasting the Volatility of Stock Market and Oil Futures Market

Forecasting the Volatility of Stock Market and Oil Futures Market
Author: Dexiang Mei
Publisher: Scientific Research Publishing, Inc. USA
Total Pages: 139
Release: 2020-12-17
Genre: Business & Economics
ISBN: 164997048X

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

Research on the Volatility of Oil Futures and European Stock Markets

Research on the Volatility of Oil Futures and European Stock Markets
Author: Dexiang Mei
Publisher: Scientific Research Publishing, Inc.
Total Pages: 165
Release: 2020-08-13
Genre: Juvenile Nonfiction
ISBN: 1618969811

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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.

Forecasting Accuracy of Crude Oil Futures Prices

Forecasting Accuracy of Crude Oil Futures Prices
Author: Mr.Manmohan S. Kumar
Publisher: International Monetary Fund
Total Pages: 54
Release: 1991-10-01
Genre: Business & Economics
ISBN: 1451951116

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This paper undertakes an investigation into the efficiency of the crude oil futures market and the forecasting accuracy of futures prices. Efficiency of the market is analysed in terms of the expected excess returns to speculation in the futures market. Accuracy of futures prices is compared with that of forecasts using alternative techniques, including time series and econometric models, as well as judgemental forecasts. The paper also explores the predictive power of futures prices by comparing the forecasting accuracy of end-of-month prices with weekly and monthly averages, using a variety of different weighting schemes. Finally, the paper investigates whether the forecasts from using futures prices can be improved by incorporating information from other forecasting techniques.

Forecasting Oil Futures Market Volatility in a Financialized World

Forecasting Oil Futures Market Volatility in a Financialized World
Author: Kam C. Chan
Publisher:
Total Pages:
Release: 2018
Genre:
ISBN:

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We analyze the relation between volatility and speculative activities in the crude oil futures market and provide short-term forecasts accordingly. By incorporating trading volume and opening interest (speculative ratio) into the volatility dynamics, we document the subtle interaction between the two measures of which the volatility-averse behavior of speculative activities plays a considerable role in the market. Moreover, by accounting for structural changes, we find significant evidence that this behavior currently becomes weaker than in the past, which implies the oil futures market is less informative and/or less risk-averse in recent time period. Our forecasts based on these features perform very well under the predictive preferences that are consistent with the volatility-averse behavior in the oil futures market. We provide discussions and policy inferences.

Oil Price Volatility and the Role of Speculation

Oil Price Volatility and the Role of Speculation
Author: Samya Beidas-Strom
Publisher: International Monetary Fund
Total Pages: 34
Release: 2014-12-12
Genre: Business & Economics
ISBN: 1498303846

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How much does speculation contribute to oil price volatility? We revisit this contentious question by estimating a sign-restricted structural vector autoregression (SVAR). First, using a simple storage model, we show that revisions to expectations regarding oil market fundamentals and the effect of mispricing in oil derivative markets can be observationally equivalent in a SVAR model of the world oil market à la Kilian and Murphy (2013), since both imply a positive co-movement of oil prices and inventories. Second, we impose additional restrictions on the set of admissible models embodying the assumption that the impact from noise trading shocks in oil derivative markets is temporary. Our additional restrictions effectively put a bound on the contribution of speculation to short-term oil price volatility (lying between 3 and 22 percent). This estimated short-run impact is smaller than that of flow demand shocks but possibly larger than that of flow supply shocks.

Volatility Transmission between the Oil and Stock Markets

Volatility Transmission between the Oil and Stock Markets
Author: Fidel Farias
Publisher: GRIN Verlag
Total Pages: 108
Release: 2016-07-11
Genre: Business & Economics
ISBN: 3668256152

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Diploma Thesis from the year 2010 in the subject Economics - Finance, grade: 1,3, University of Potsdam (Makroökonomische Theorie und Politik), language: English, abstract: Besonders in jüngster Zeit kommt der Analyse von Ölpreisvolatilität aus volkswirtschaftlicher Sicht eine bedeutende Rolle zu. Gegenwärtig werden bestimmte Rohstoffe wie Rohöl als relevante Anlageinstrumenten von Investoren benutzt, um sich gegen Risiken an den Finanzmärkten abzusichern. Diese Diplomarbeit beschäftigt sich mit der Berechnung von Ölpreisvolatilität in der Zeitperiode von Januar 2002 bis Juli 2009. Dabei werden Berechnungen von Ölpreisvolatilität während der Finanzkrise im Jahre 2008 untersucht. Diese Finanzkrise hat sich tiefgreifend auf die Entwicklung der Preise von Kapital- und Finanzgütern ausgewirkt. Dabei weisen die exzessiven gemessenen Werte von Preisvolatilität während der Finanzkrise auf eine strukturelle Veränderung der Preisbildung von Kapital- und Finanzgütern an den Kapital- und Finanzmärkten hin. Interessanterweise lassen sich bei der Analyse von Ölpreisvolatilität bedeutende Fakten feststellen, deren Existenz die gegenwärtig verwendeten statistischen Modelle, die sich mit der Messung von Preisvolatilität befassen, in künftigen Arbeiten komplementieren könnten. Im Rahmen dieser Diplomarbeit werden fünf wichtige statistische Modelle analysiert: ARCH, GARCH, BEKK-GARCH und Markov-switching Modell. Dazu wird aus den Ölpreisdaten der letzten 8 Jahre die tägliche Preisvolatilität berechnet, um mögliche Relationen zwischen der Volatilität am Ölmarkt und der Volatilität am Finanzmarkt zu untersuchen. Dabei werden diese implementierten Verfahren auf ihre Gültigkeit in Berechnung und Vorhersage von plötzlichen Preisveränderungen untersucht. Insbesondere wird darauf eingegangen unter welchen Bedingungen die Verfahrensergebnisse als zuverlässig gelten. Diese Diplomarbeit wurde im Rahmen eines Forschungspraktikums bei der Organisation erdölexportierender Länder (OPEC) in Wien, Österreich unter Betreuung des Lehrstuhls für Wirtschaftstheorie der Universität Potsdam, fertiggestellt

Forecasting Volatility of Oil Prices & Their Effect on the Economy

Forecasting Volatility of Oil Prices & Their Effect on the Economy
Author: May Al- Issa
Publisher:
Total Pages: 0
Release: 2023-09-27
Genre:
ISBN: 9781916761629

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With the importance of crude oil and its effect on the macro and micro economy alike and with the fluctuations of oil prices mainly due to geopolitical reasons -speculators taking this advantage in raising the prices in 2008; forecasting crude oil volatility becomes vital. This project addresses three main areas: modelling volatility, forecasting and calculating options premiums and finally examining the effect of oil prices on the economy. Five year daily prices of OPEC, being the reference to oil prices, Brent being one of the main oil markets, BP.plc as one of the giant oil companies, and S&P500 being the important market index are obtained from different approved resources. Auto Regressive Conditional Heteroskedasticity series proved, as examined by vast number of studies in the literature reviewed; to be better in forecasting volatility in time series. GARCH and EGARCH are estimated under normality using random walk with drift for a better fit. Upon choosing the optimal models according to the Akaike and Schwartz Information Criteria; EGARCH(1,2) is of better fit to volatility for OPEC containing recent shocks to the prices, yet GARCH(1,2) and GARCH(5,4) provided almost similar results. EGARCH(1,1) proves to be yet another good model for both modelling and forecasting volatility of Brent crude returns by covering the asymmetry and the leverage effects. Options premiums calculated of 31-day forecast period using Black-Scholes model show different outcome to that obtained from Bloomberg implying the attraction of more investors to buy more profitable options since higher risk leads to higher profits. By performing the Johansen cointegration method, it is evident that oil price fluctuations have longer term relationship between OPEC and BP than between OPEC and S&P500 yet all three are in equilibrium portraying for more downturn in the economy.

Crude Volatility

Crude Volatility
Author: Robert McNally
Publisher: Columbia University Press
Total Pages: 336
Release: 2017-01-17
Genre: Business & Economics
ISBN: 0231543689

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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.

Forecasting Volatility of the U.S. Oil Market

Forecasting Volatility of the U.S. Oil Market
Author: Erik Haugom
Publisher:
Total Pages: 46
Release: 2015
Genre:
ISBN:

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We examine the information content of the CBOE Crude Oil Volatility Index (OVX) when forecasting realized volatility in the WTI futures market. Additionally, we study whether other market variables, such as volume, open interest, daily returns, bid-ask spread and the slope of the futures curve, contains predictive power beyond what is embedded in the implied volatility. In out-of-sample forecasting we find that econometric models based on realized volatility can be improved by including implied volatility and other variables. Our results show that including implied volatility significantly improves daily and weekly volatility forecasts, while including other market variables significantly improves daily, weekly and monthly volatility forecasts.