Regressive Oil Price Expectations Toward More Fundamental Values of the Oil Price

2010 ◽  
Vol 230 (4) ◽  
Author(s):  
Stefan Reitz ◽  
Jan-Christoph Rülke ◽  
Georg Stadtmann
Keyword(s):  
Random Walk ◽  
Rational Expectations ◽  
Forecast Accuracy ◽  
Oil Price ◽  
Economic Forecast ◽  
Roller Coaster ◽  
Price Expectations ◽  
Oil Market ◽  
Time Period ◽  
Fundamental Values

SummaryWe use oil price forecasts from the Consensus Economic Forecast poll for the time period Oct. 1989 - Dec. 2008 to analyze how forecasters form their expectations. Our findings indicate that the extrapolative as well as the regressive expectation formation hypothesis play a role. Standard measures of forecast accuracy reveal forecasters’ under performance relative to the random walk benchmark. We test the hypothesis of rational expectations by relying on the criteria of unbiasedness and orthogonality. Although both conditions are met, the forecast accuracy is significantly lower compared to naïve random walk forecast. The forecasters have problems to forecast the trends in the oil price. The recent roller-coaster movements in the international oil market have revealed forecasters’ inability to predict major trends in the spot oil price. As a consequence, some research institutes have stopped forecasting the oil price as an ingredient of their macroeconomic models and use a random walk forecast instead.

scholarly journals “Shale Revolution” in the United States as the Main Driver of the World Oil Market Transformation

2019 ◽  
Vol 12 (6) ◽  
pp. 71-93
Author(s):  
S. A. Zolina ◽  
I. A. Kopytin ◽  
O. B. Reznikova
Keyword(s):  
United States ◽  
Crude Oil ◽  
Oil Production ◽  
The United States ◽  
Oil Price ◽  
Oil Market ◽  
Oil Exports ◽  
The World ◽  
Oil Sector ◽  
The U.S

In 2018 the United States surpassed Saudi Arabia and Russia to become the largest world oil producer. The article focuses on the mechanisms through which the American shale revolution increasingly impacts functioning of the world oil market. The authors show that this impact is translated to the world oil market mainly through the trade and price channels. Lifting the ban on crude oil exports in December 2015 allowed the United States to increase rapidly supply of crude oil to the world oil market, the country’s share in the world crude oil exports reached 4,4% in 2018 and continues to rise. The U.S. share in the world petroleum products exports, on which the American oil sector places the main stake, reached 18%. In parallel with increasing oil production the U.S. considerably shrank crude oil import that forced many oil exporters to reorient to other markets. Due to high elasticity of tight oil production to the oil price increases oil from the U.S. has started to constrain the world oil price from above. According to the majority of authoritative forecasts, oil production in the U.S. will continue to increase at least until 2025. Since 2017 the tendency to the increasing expansion of supermajors into American unconventional oil sector has become noticeable, what will contribute to further strengthening of the U.S. position in the world oil market and accelerate its restructuring.  

The Co-Movements Between Crude Oil Price and Internet Concerns: Causality Analysis in the Frequency Domain

2020 ◽  
Vol 8 (3) ◽  
pp. 224-239
Author(s):  
Jingjing Li ◽  
Ling Tang ◽  
Ling Li
Keyword(s):  
Crude Oil ◽  
Test Method ◽  
Oil Price ◽  
Spot Price ◽  
Causality Analysis ◽  
Crude Oil Price ◽  
Causality Test ◽  
Low Frequencies ◽  
Oil Market

AbstractWith the boom of web technology, Internet concerns (IC) have become emerging drivers of crude oil price. This paper makes the first attempt to measure the frequency-varying co-movements between crude oil price and IC in five domains (i.e., fundamentals, supply-demand, crisis, war and weather) by using the frequency causality test method. Based on the monthly Brent spot price and search volumes (SVs) captured by Google Trends from January 2004 to September 2019, new and complementary insights regarding the co-movements between crude oil price and IC are obtained. 1) The co-movements between crude oil price and the IC of supply-demand, war, and weather support a neutral hypothesis at all frequencies due to the characteristics (low value or volatility) of these IC data. 2) There is a unidirectional causal relationship between crude oil price and the IC of fundamentals, running from the latter to the former at low frequencies (long-term). 3) There is a feedback relationship between crude oil price and the IC of crisis, with the IC of crisis driving crude oil price at medium and low frequencies (mid- and long-term) and crude oil price causing the IC of crisis to change permanently. The conclusions of this paper provide important implications for both oil market economists and investors.

Does Forecast Accuracy Matter to Security Analysts?

1999 ◽  
Vol 74 (2) ◽  
pp. 185-200 ◽  
Author(s):  
Michael B. Mikhail ◽  
Beverly R. Walther ◽  
Richard H. Willis
Keyword(s):  
Forecast Accuracy ◽  
Earnings Forecast ◽  
Statistical Relation ◽  
Security Analysts ◽  
Forecast Horizon ◽  
Stock Recommendations ◽  
Period Effects ◽  
Time Period ◽  
Turn Over ◽  
Relative Profitability

We investigate if earnings forecast accuracy matters to security analysts by examining its association with analyst turnover. Controlling for firm- and time-period effects, forecast horizon and industry forecasting experience, we find that an analyst is more likely to turn over if his forecast accuracy is lower than his peers. We find no association between an analyst's probability of turnover and his absolute forecast accuracy. We also investigate another observable measure of the analyst's performance, the profitability of his stock recommendations. There is no statistical relation between the absolute or relative profitability of an analyst's stock recommendations and his probability of turnover. We interpret our findings as indicating that forecast accuracy is important to analysts.

scholarly journals Oil Price Forecasting Using a Time-Varying Approach

Energies ◽  
2020 ◽  
Vol 13 (6) ◽  
pp. 1403
Author(s):  
Lu-Tao Zhao ◽  
Shun-Gang Wang ◽  
Zhi-Gang Zhang
Keyword(s):  
Crude Oil ◽  
Time Window ◽  
Oil Prices ◽  
Oil Price ◽  
Price Forecasting ◽  
Time Varying ◽  
Crude Oil Price ◽  
Trend Prediction ◽  
Oil Market ◽  
Polynomial Decomposition

The international crude oil market plays an important role in the global economy. This paper uses a variable time window and the polynomial decomposition method to define the trend term of time series and proposes a crude oil price forecasting method based on time-varying trend decomposition to describe the changes in trends over time and forecast crude oil prices. First, to characterize the time-varying characteristics of crude oil price trends, the basic concepts of post-position intervals, pre-position intervals and time-varying windows are defined. Second, a crude oil price series is decomposed with a time-varying window to determine the best fitting results. The parameter vector is used as a time-varying trend. Then, to quantitatively describe the continuation of the time-varying trend, the concept of the trend threshold is defined, and a corresponding algorithm for selecting the trend threshold is given. Finally, through the predicted trend thresholds, the historical reference data are selected, and the time-varying trend is combined to complete the crude oil price forecast. Through empirical research, it is found that the time-varying trend prediction model proposed in this paper achieves a better prediction than several common models. These results can provide suggestions and references for investors in the international crude oil market to understand the trends of oil prices and improve their investment decisions.

Fundamental Value Hypothesis and Return Behavior: Evidence from Emerging Equity Markets

2006 ◽  
Vol 09 (01) ◽  
pp. 97-127 ◽  
Author(s):  
Benjamas Jirasakuldech ◽  
Riza Emekter ◽  
Peter Went
Keyword(s):  
Rational Expectations ◽  
Equity Markets ◽  
The Philippines ◽  
Duration Dependence ◽  
Test Results ◽  
Time Reversibility ◽  
Return Behavior ◽  
Price Patterns ◽  
Fundamental Value ◽  
Fundamental Values

This study examines the return behavior of 15 emerging equity markets for persistent deviations from the fundamental value hypothesis. The duration dependence test shows that rational expectations bubble do not cause deviations from fundamental value in any of the markets. Markov chain test results imply that markets in China, Malaysia, the Philippines, and Singapore deviate from their fundamental values due to non-random price changes. A price decrease is more likely to follow two periods of price decrease in these four equity markets. Finally, time reversibility test reveals that all equity markets, except for Jordan and Egypt, exhibit asymmetrical price patterns, suggesting departures from fundamental values.

scholarly journals Infectious Diseases, Market Uncertainty and Oil Market Volatility

Energies ◽  
2020 ◽  
Vol 13 (16) ◽  
pp. 4090 ◽  
Author(s):  
Elie Bouri ◽  
Riza Demirer ◽  
Rangan Gupta ◽  
Christian Pierdzioch
Keyword(s):  
Infectious Diseases ◽  
Statistical Significance ◽  
Forecast Accuracy ◽  
Realized Volatility ◽  
Market Volatility ◽  
Market Uncertainty ◽  
Daily Newspaper ◽  
Oil Market ◽  
Crude Oil Prices ◽  
Long Run

We examine the predictive power of a daily newspaper-based index of uncertainty associated with infectious diseases (EMVID) for oil-market volatility. Using the heterogeneous autoregressive realized volatility (HAR-RV) model, we document a positive effect of the EMVID index on the realized volatility of crude oil prices at the highest level of statistical significance, within-sample. Importantly, we show that incorporating EMVID into a forecasting setting significantly improves the forecast accuracy of oil realized volatility at short-, medium-, and long-run horizons. Our findings comprise important implications for investors and risk managers during the unprecedented episode of high uncertainty resulting from the COVID-19 pandemic.

scholarly journals A Review of Alternative Expectations Regimes in Commodity Markets: Specification, Estimation, and Hypothesis Testing Using Structural Models

1996 ◽  
Vol 25 (2) ◽  
pp. 213-231 ◽  
Author(s):  
Diana M. Burton ◽  
H. Alan Love
Keyword(s):  
Risk Aversion ◽  
Rational Expectations ◽  
Critical Role ◽  
Structural Models ◽  
Commodity Markets ◽  
Information Collection ◽  
Industry Studies ◽  
Price Expectations ◽  
Expectations Hypothesis ◽  
Widespread Acceptance

Price expectations play a critical role in commodity markets where producers must make input decisions well before output is realized. This paper brings together alternative expectations regimes, their estimation, and hypothesis tests for use in structural commodity models to determine their use by commodity producers. Extrapolative mechanisms and rational expectations are considered under risk neutrality and risk aversion. The assumptions implicit in the use of aggregate data in these models are made explicit. Structural models using individual survey data are discussed. While Muth's rational expectations hypothesis has found widespread acceptance in the macroeconomic literature, empirical results from industry studies indicate that commodity producers may have heterogeneous price expectations, with no single expectations hypothesis dominating. This is not surprising given that different producers possess different information and have different costs associated with information collection and processing.

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