Real‐time forecast combinations for the oil price

Baumeister and Kilian (Journal of Business and Economic Statistics, 2015, 33(3), 338–351) combine forecasts from six empirical models to predict real oil prices. In this paper, we broadly reproduce their main economic findings, employing their preferred measures of the real oil price and other real‐time variables. Mindful of the importance of Brent crude oil as a global price benchmark, we extend consideration to the North Sea‐based measure and update the evaluation sample to 2017:12. We model the oil price futures curve using a factor‐based Nelson–Siegel specification estimated in real time to fill in missing values for oil price futures in the raw data. We find that the combined forecasts for Brent are as effective as for other oil price measures. The extended sample using the oil price measures adopted by Baumeister and Kilian yields similar results to those reported in their paper. Also, the futures‐based model improves forecast accuracy at longer horizons.     

An identification‐robust test for time‐varying parameters in the dynamics of energy prices

We test for the presence of time‐varying parameters (TVP) in the long‐run dynamics of energy prices for oil, natural gas and coal, within a standard class of mean‐reverting models. We also propose residual‐based diagnostic tests and examine out‐of‐sample forecasts. In‐sample LR tests support the TVP model for coal and gas but not for oil, though companion diagnostics suggest that the model is too restrictive to conclusively fit the data. Out‐of‐sample analysis suggests a random‐walk specification for oil price, and TVP models for both real‐time forecasting in the case of gas and long‐run forecasting in the case of coal. Copyright © 2010 John Wiley & Sons, Ltd.     

Time-frequency co-movements between oil prices and interest rates: Evidence from a wavelet-based approach

This paper investigates time–frequency co-movements between crude oil prices and interest rates. To test this relationship, the study applied a continuous wavelet and cross wavelet approaches to data from West Texas Intermediate (WTI) crude oil prices and interest rates in the United States (U.S.). Results from the sample period revealed significant relationships, in the intermediate term, between WTI crude oil prices and U.S. interest rates. Moreover, co-movements between oil price and interest rate variables were especially sensitive during abnormal political events and periods of financial ‘meltdown’. We further use Partial Wavelet Coherence (PWC) and Multiple Wavelet Coherence (MWC) methods to investigate the impacts of five major control variables namely GDP growth, unemployment, three-month Treasury bill, CPI index and industrial production index. The results show a powerful impact of control variables on oil-interest rates co-movements under different frequencies. Finally, we show evidence of co-integrating long run relationship between oil markets and control variables. These results have important implications for energy investors and policy makers.     

Multi-scale interactions between economic policy uncertainty and oil prices in time-frequency domains

Dynamic interactions between policy uncertainty and economic activity, including oil prices, have attracted increasing amounts of scholarly interest, but few studies have considered the inherent feature that the entire market is composed of different stakeholders operating in different time horizons. To fill this gap and address this issue, this paper proposes a multi-scale correlation framework. Specifically, we use the wavelet coherence method and scale-by-scale linear Granger causality tests to explore the co-movement and causality of pairs of economic policy uncertainty indices of G7 countries, China, Brazil, and Russia and West Texas Intermediate (WTI) oil prices. Our results show that the interaction between economic policy uncertainty and oil prices in the short-term is weak but gradually strengthens towards the long-term, especially when significant historical political or financial events occurred. Moreover, a consistent conclusion is that the interaction is negative in the medium-term, while it is positive in the long-term. Further, Granger causality tests at different time-scales show that no Granger causality from economic policy uncertainty to oil prices exists in the short-term for all sample countries, except the US, while there is a strong unidirectional or bidirectional Granger causality for all researched countries in the medium- and the long-term.     

How can big data enhance the timeliness of official statistics?: The case of the U.S. consumer price index

The daily consumer price index (CPI) produced by the Billion Prices Project (BPP CPI) offers a glimpse of the direction taken by consumer price inflation in real time. This is in contrast to the official U.S. CPI, which is compiled monthly and released with an average of a three-week delay following the end of the reference month. A recent body of research contended that the movements of online prices are representative of those of offline retail prices, making the BPP CPI a natural candidate for accurately improving the timeliness of the official CPI. We assess the predictive content of the BPP CPI using a variety of MIDAS models that accommodate data sampled at different frequencies. These models generate estimates that remain robust to the variety of time periods considered and, by the standard of the existing literature, contribute to a significant upgrade in the forecast accuracy of official consumer price inflation figures. The paper then sketches the broad implications of BPP CPI for the consumer price statistics maintained by national statistics offices and discusses how the proposed improvement in the timeliness of the official CPI fits in this perspective.     

Oil prices and exchange rates in oil-exporting countries: evidence from TAR and M-TAR models

The paper studies the long-run relation and short-run dynamics between real oil prices and real exchange rates in a sample of 13 oil-exporting countries. The purpose of the study is to examine the possibility of Dutch disease in these countries. Tests of cointegration using threshold and momentum-threshold autoregressive (TAR and M-TAR) models suggest the possibility of the disease in 3-out-of 13 countries??Bolivia, Mexico and Norway. For these countries, we also find that (a) oil prices have a long-run effect on the exchange rates; and (b) exchange rates adjust faster to positive deviations from the equilibrium; and (c) there is no evidence of short-run causality between real exchange rates and real oil prices in either direction. Over all, these findings suggest a weak link between oil prices and real exchange rates and thus limited evidence in favor of the Dutch disease.     

Predicting crude oil prices: Replication of the empirical results in “What do we learn from the price of crude oil?”

In addition to their theoretical analysis of the joint determination of oil futures prices and oil spot prices, Alquist and Kilian (Journal of Applied Econometrics, 2010, 25(4), 539–573) compare the out‐of‐sample accuracy of the random walk forecast with that of forecasts based on oil futures prices and other predictors. The results of my replication exercise are very similar to the original forecast accuracy results, but the relative accuracy of the random walk forecast and the futures‐based forecast changes when the sample is extended to August 2016, consistent with the results of several other recent studies by Kilian and co‐authors.     

The London Business School with Gower Publishing

Collapsing oil prices and a falling dollar set the background to a Budget in which the Chancellor, hamstrung by lower oil revenues, was seen as having little room for manoeuvre. In fact the sharp fall in the sterling price of oil has provided him with the perfect excuse for not making significant cuts in personal income tax that were largely irrelevant to the needs of the economy. Instead of a boost to household demand we have had, thanks to OPEC, a transfer to companies in the form of a reduction in costs. This should enable them to expand output against a background of falling inflation. Our post-Budget assessment of macroeconomic prospects (Section I), made on the Treasury's assumption of a $15 oil price, shows output growing by 2 1/2 per cent this year and inflation falling below 3 per cent in 1987. We are thus less optimistic than the Treasury about output but more optimistic about inflation. How was the Chancellor able, within the confines of the Medium-Term Financial Strategy, to give anything away having lost so much oil revenue? A detailed analysis of the PSBR forecast (Section II) reveals good reasons why non-oil tax revenues should be some £3 1/2n higher than forecast this time last year. But, because we still expect public spending to be above the official figures, our PSBR forecast is £1bn higher than the Treasury's. Although the macroeconomic impact of the Budget was small (especially in relation to that of the fall in oil prices which preceded it), it continued the process of tax reform. We focus, in Section III, on the new proposals to deal with the problem of the pension fund surpluses to which we drew attention in the November issue of Financial Outlook. We conclude that the proposed measures could have a larger effect on tax revenues in the longer term than is indicated by the Treasury's Budget estimates.     

Time-frequency effect of crude oil and exchange rates on stock markets in BRICS countries: Evidence from wavelet quantile regression analysis

This study examines the effects of oil prices and exchange rates on stock market returns in BRICS countries (Brazil, Russia, China, India and South Africa) from a time–frequency perspective over the period 2009–2020. We use wavelet decomposition series to develop a threshold rolling window quantile regression to detect time–frequency effects at various scales. The empirical results are as follows. First, our findings confirm that the effects of both crude oil prices and exchange rates on BRICS stock returns are asymmetric. Positive shocks of crude oil have a greater impact on a bull market, whereas negative shocks have a greater impact on a bear market. Second, there is a short-term enhancement effect of crude oil and exchange rate on BRICS stock markets. In addition, volatility in the macro financial environment also exacerbates the impacts of oil prices and exchange rates on the stock market, and these fluctuations are heterogeneous. Overall, these findings provide useful insights for international investors and policy makers.     

Wavelet domain correlation between the futures prices of natural gas and oil

This paper studies the relationship between futures prices of natural gas and oil. Using wavelet analysis, our research reveals that, throughout the sampled period: (1) the prices of natural gas futures and oil futures have high covariance at high frequencies but not so much at low frequencies; (2) an increase in financialization of commodities commensurate with investors search for yield results in higher covariance between the futures prices of natural gas and oil; and (3) the volatility of neither time series consistently leads the other even at high frequencies.     

Retrieving the implicit risk neutral density of WTI options with a semi-nonparametric approach

This paper contributes to the literature on the estimation of the Risk Neutral Density (RND) function by proposing a log-semi-nonparametric (log-SNP) distribution as the implicit RND when the Gram-Charlier model is used for option pricing. The performance of the model is compared to the lognormal (Black Scholes) benchmark for a sample of option prices for West Texas Intermediate (WTI) crude oil that were traded in the period between January 2016 and December 2017. Results show that the lognormal specification tends to systematically undervalue option prices and that the proposed log-SNP distribution, which explicitly adjusts for negative skewness and excess kurtosis, results in markedly improved accuracy, especially in periods of market instability. As a result, the implied skewness and excess kurtosis are relevant sources of information on market expectations that should be used for hedging and risk management purposes.     

Speculation in the Oil Market

The run‐up in oil prices since 2004 coincided with growing investment in commodity markets and increased price co‐movement among different commodities. We assess whether speculation in the oil market played a role in driving this salient empirical pattern. We identify oil shocks from a large dataset using a dynamic factor model. This method is motivated by the fact that a small‐scale vector autoregression is not informationally sufficient to identify the shocks. The main results are as follows. (i) While global demand shocks account for the largest share of oil price fluctuations, speculative shocks are the second most important driver. (ii) The increase in oil prices over the last decade is mainly driven by the strength of global demand. However, speculation played a significant role in the oil price increase between 2004 and 2008 and its subsequent collapse. (iii) The co‐movement between oil prices and the prices of other commodities is mainly explained by global demand shocks. Our results support the view that the recent oil price increase is mainly driven by the strength of global demand but that the financialization process of commodity markets also played a role. Copyright © 2014 John Wiley & Sons, Ltd.     

The influence of international oil price fluctuation on the exchange rate of countries along the “Belt and Road”

In recent years, the international crude oil price has become increasingly volatile. It influences the exchange rate changes of relevant countries through economic growth, price level, international balance of payments, and other channels. Such exchange rate fluctuations have caused certain risks for the development of China’s “Belt and Road” Initiative. This article analyzes the impact of oil price changes on the exchange rates of countries. Because the fluctuation of oil prices and exchange rates has shown the characteristics of multiple time scales, this study used the empirical mode decomposition (EMD) method to obtain the long-cycle and short-cycle sequences of oil prices and the exchange rates of various countries, then analyzed the impact of oil price changes on exchange rates under different time scales. The results showed that oil price fluctuations have an impact on the exchange rate changes of countries along the “Belt and Road” under different time scales. However, this effect is asymmetric between oil-producing countries and non-oil-producing countries, and the transmission path of oil prices to exchange rates varies from cycle to cycle.     

Monetary effects on nominal oil prices

The paper presents a theory of nominal asset prices for competitively owned oil. Focusing on monetary effects, with flexible oil prices the US dollar oil price should follow the aggregate US price level. But with rigid nominal oil prices, the nominal oil price jumps proportionally to nominal interest rate increases. We find evidence for structural breaks in the nominal oil price that are used to illustrate the theory of oil price jumps. The evidence also indicates strong Granger causality of the oil price by US inflation as is consistent with the theory.     

The relationship between oil prices,the stock market and the exchange rate: Evidence from Mexico

This paper analyzes the variables of oil price, exchange rate and stock market index to explain how they interact with each other in the Mexican economy. The examined period includes monthly data from January 1992 to June 2017. A Vector Autoregressive Model (VAR) is implemented that includes oil prices, the nominal exchange rate, the Mexican stock market index, and the consumer price index. Results indicate that the exchange rate has a negative and statistically significant effect on the stock market index; this indicates that an appreciation of the exchange rate is related to an increase in the stock market index. It is also found that the consumer price index has a positive effect on the exchange rate and a negative effect on the stock market index. The results also indicate that oil prices are statistically significant against the exchange rate, concluding that an increase in oil prices creates an appreciation of the exchange rate. In addition, the impulse-response functions show that the effects found tend to disappear over time.     

The London Business School with Gower Publishing

The prospects for the industrial countries in 1980/81-already poor at the time of our last "World Outlook" in October 1979 - have weakened further as a result of the latest round of oil price increases. In the last 12 months oil prices have doubled, and, because of the greater weight of oil compared with 1974/75, we estimate that the real impact of the latest increase is three-quarters of the earlier rise when prices quad-rupled. But compared with the events of the mid-1970's the difference is that the earlier crisis was largely unexpected, which is not true of recent events. For this reason we expect the world economy to be less badly affected than in 1974/75.     

Adjusting to the Oil Price Fall

In his Budget speech last March Mr. Lawson said “If we can survive unscathed the loss of half our North Sea oil revenues in less than 25 weeks, then the prospective loss of the other half over the remainder of the next 25 years should not cause us undue concern.” In this Viewpoint we ask whether Mr. Lawson's optimism was premature. Although we continue to believe that the fall in oil prices will have favourable effects on the UK economy, there will be problems of adjustment which could be painful. We ask the following questions: (a) What adjustment to the balance of payments is needed to compensate for the fall in oil prices? (b) How will the adjustment occur? (c) How far can the recent weakness of sterling be explained by the fall in oil prices, or is there a more alarming explanation?     

能源价格对能源强度的影响——以国内制造业为例

本文运用1985-2003年的时间序列数据，对我国制造业、能源价格和能源强度之间的关系作了实证研究。计量检验的结果表明，能源相对价格的上升对于降低总能源强度、石油强度、电力强度和煤炭强度具有积极的贡献。提高能源价格是改善能源效率的一个有效政策工具。     

The asymmetric effect of crude oil prices on stock prices in major international financial markets

The aim of this paper is to explore the potential asymmetric impacts of positive and negative shocks in crude oil prices on stock prices in six major international financial markets which include China, Hong Kong, America, Japan, Britain, and Germany. We test for these asymmetric effects on 8 major international financial markets indices over the 2007M01–2020M03 periods. Our independent measures include the prices of Brent crude oil futures and West Texas Intermediate (WTI) futures. We use the nonlinear ARDL (NARDL) model proposed by Shin et al. (2014), which can capture both short- and long-run nonlinearities through positive and negative partial sum decompositions of the explanatory variables. This research finds that positive and negative fluctuations of oil price have asymmetric effects on stock price index in four financial markets, but the performance of the asymmetry is different. Specifically, the impacts of volatility in oil prices on two indices of Chinese stock prices are different, and the asymmetric effects of oil price volatility on stock price indices in China and other financial markets are significantly different.