Pushing the future back: The impact of policy uncertainty on the market pricing of future earnings

We examine whether policy uncertainty triggered by presidential elections pushes the future back by reducing the extent to which current prices reflect information about future earnings. We estimate future earnings response coefficients (FERCs) for the years 1975–2013, a period that covers ten presidential elections. We find that FERCs are significantly lower (by 11.8%) during presidential election years compared to other years. Additional analyses using pseudo election years, ex‐ante polls, contract prices from the Iowa Electronic Political Market, and cross‐sectional firm characteristics provide corroborating evidence that the lower FERCs during election years are related to policy uncertainty. We also investigate potential explanations for the lower FERCs during election years. We find that the lower FERCs relate to forecasting difficulty rather than to changes in the discount rate or in the amount of noise trading. Finally, we find that market prices move toward future earnings to a greater degree during presidential election years compared with other years once the policy uncertainty is resolved. A trading strategy based on this drift yields significant abnormal returns. Overall, we contribute to the literature by providing the first empirical evidence that shocks to policy uncertainty influence the pricing of earnings information.     

Financial investor sentiment and the boom/bust in oil prices during 2003–2008

From both theoretical and policy perspectives, it is important to understand if financial speculation contributes to the boom/bust in oil prices during 2003–2008. In this paper, we disentangle the effects of financial speculation from those of economic fundamentals by focusing on exogenous changes of financial speculation in oil markets identified by changes in financial investor sentiment. Furthermore, we focus on a quasi-experiment setting, and investigate both sentiment-driven overvaluation of oil prices and subsequent mispricing correction. Our findings suggest that financial speculation might have contributed to the 2003–2008 boom/bust in oil prices.     

Do oil prices drive food prices? The tale of a structural break

It is frequently argued that biofuel (and ethanol) promotion policies in the United States have created a link between oil and corn prices that has accentuated the recent rally in the price of that crop and its substitutes (especially soybeans). Even though it is intuitively appealing, one problem with this hypothesis is that ethanol policies have been in place in the US for more than 35 years, whereas the run up in food prices dates back only to 2006. However, a significant change in US biofuel policy during that year provides an adequate framework to test for the existence of a structural break in the stochastic properties of the corn and soybean price processes. The results show that structural stability is rejected, and the transmission of oil price innovations to corn prices has become stronger after 2006 (no changes with respect to soybeans). There is also a significant transmission of corn price innovations to oil and soybean prices. Moreover, the data show evidence of a previously non-existent cointegration relationship between oil and corn prices.     

A Mixed Dependence Between the Exchange Rate and International Crude Oil Returns: An Application of Dynamic Mixture Copula

In this study, the dynamic dependence between the international crude oil return and the exchange rate return for Taiwan is examined. Two mixture copulas (symmetric Joe–Clayton, SJC, and mixture of Gumbel and survival Gumbel, GSG) and two dynamic dependences (a Markov-switching type and an AR-like type) are considered in order to study whether the dynamic dependence is mixed and asymmetric. The empirical results show that the Markov-switching GSG copula performs the best when compared to other specifications investigated in this article. The relationship is positive and symmetric during periods of volatile crude oil prices, while it is independent during periods of stable crude oil prices.     

Auditing regulations and bank shareholders’ wealth: An international analysis

This paper examines the ability of auditing regulation to protect bank shareholders’ wealth during the time of normal growth and during the 2007–2009 global financial crises. The study uses the bank regulation database available at the World Bank website. We select a sample of 2467 banks from 107 countries for the years 1999–2009. We perform multivariate regression analyses and find that while auditing regulations enhance bank equity prices in normal growth periods, there is no evidence that auditing regulations are associated with bank share prices during the period of financial crisis. We observe similar results for both developed and emerging countries and for the common and code law countries. Our results suggest an immediate need to strengthen audit regulations so that investor confidence is more likely to persist during periods of financial downturn.     

The dynamics of economic growth,oil prices,stock market depth,and other macroeconomic variables: Evidence from the G-20 countries

This paper examines the linkages between economic growth, oil prices, depth in the stock market, and three other key macroeconomic indicators: real effective exchange rate, inflation rate, and real rate of interest. We employ a panel vector autoregressive model to test Granger causality for the G-20 countries over the period 1961–2012. A novel approach to this study is that we clearly demarcate the long-run and short-run relations between the economic variables. The results show a robust long-run economic relationship between economic growth, oil prices, stock market depth, real effective exchange rate, inflation rate, and real rate of interest. In the long run, real economic growth is found to respond to any deviation in the long-run equilibrium relationship that is found to exist between the different measures of stock market depth, oil prices, and the other macroeconomic variables. In the short run we find a complex network of causal relationships between the variables. While the empirical evidence of short-run causality is mixed, there is clear evidence that real economic growth responds to various measures of stock market depth, allowing for real oil price movements and changes in the real effective exchange rate, inflation rate, and real rate of interest.     

Terrorist attacks and oil prices: Hypothesis and empirical evidence

Using a unique dataset that merges terrorism activity with oil prices, this paper develops and tests the hypothesis that terrorist attacks predict oil prices. We develop three insights. First, we show that terrorist attacks have a positive effect on oil prices, but it is attacks originating from oil producer countries that most influence oil prices. Second, we devise trading strategies based on terrorist attacks and show that attacks, by signaling buying and selling in the market, beat a buy-and-hold strategy. We also show that a mean–variance investor who utilizes our terrorism-based forecasting model makes economically meaningful profits. Our analysis also shows that the effect of terrorism on oil prices operates via both the oil production and oil investment channels.     

Bank ownership and stock price informativeness. Does politics matter?

This study investigates the effects of ownership on the informativeness of the stock prices of 636 commercial banks from 59 countries for 2002–2014. We find strong and robust evidence that state ownership is associated with stock prices having less information in developing countries. This result is consistent with the conjecture that state ownership is associated with a less transparent environment that discourages investors from trading on private information. Furthermore, we find that politics magnifies the effect of state ownership on the informativeness of stock prices during election years. In particular, we show that stock prices are less informative for state ownership in countries with civil law or parliamentary systems. These findings shows that the political channel plays an important role in determining the expropriation by government shareholders, especially in developing countries.     

Negative oil price shocks transmission: The comparative effects of the GFC,shale oil boom,and Covid-19 downturn on French gasoline prices

This article analyzes the transmission mechanisms between oil prices and fuel prices in France over the period 2005−2020. The econometric procedure focuses on three singular years marked by significant negative oil prices shocks: 2008 (the global financial crisis), 2014 (the sharp drop in prices due to the boom of US shale oil), 2020 (Covid-19 economic downturn). To analyze the linkages between oil and fuel prices, we use the ARDL bounds testing approach of cointegration with weekly data between January 7, 2005 and October 30, 2020. We find that over the entire period, fuel distributors report increases in oil prices more than decreases. We find that this asymmetry is highest in 2008. Our paper provides some policy recommendations based on our findings.     

Current accounts and oil price fluctuations in oil-exporting countries: The role of financial development

Oil-exporting countries usually experience large current account improvements following a sharp increase in oil prices. In this paper, we investigate this oil price-current account relationship on a sample of 27 oil-exporting economies. Relying upon the estimation of panel smooth transition regression models over the 1980–2010 period, we provide evidence that refines the traditional interpretation of oil price effects on current accounts. While current accounts are positively affected by oil price variations, this effect is nonlinear and depends critically on the degree of financial development of oil-exporting economies. More specifically, oil price variations exert a stronger impact on the current account position for less financially developed countries, this influence diminishing with financial deepness.     

Commodity Spread Option with Cointegration

We derive the valuation formula of a European call option on the spread of two cointegrated commodity futures prices, based on the Gibson–Schwartz with cointegration (GSC) model. We also analyze the American commodity spread option including the early exercise premium representation and an analytical approximation valuation formulae with cointegration. In the numerical analysis, we compare the spread option values calculated by the GSC model and the Gibson–Schwartz (GS) model that ignores cointegration. Consistent with the intuition that the cointegration prevents the prices from diverging, the GSC model prices the commodity spread option lower than the GS model which have longer maturity of more than 6 years. In other words, the GS model may overprice the commodity spread options for those with longer maturity without taking account of cointegration. Thus, incorporating cointegration is important for valuation and hedging of long-term commodity spread options such as large scale oil refining plant developments.     

去伪存真:油价趋势与股票市场——来自“一带一路”35国的经验证据

油价波动深刻影响全球经济,严重时会造成全球股市动荡,甚至引发系统性金融风险。然而油价中的信息噪音严重阻碍国际油价对股票市场的预测效果。本文提出的移动平均法可有效减弱信息噪音,研究表明,本文基于移动平均法构建的油价趋势因子对“一带一路”沿线国家股票市场具有良好的样本内和样本外可预测性。进一步研究发现,国际油价波动对产油国和非产油国股票市场的影响存在非对称性。本文为国际油价冲击股票市场提供了新的有力证据,同时本文研究成果提示了油价风险,对维持我国股票市场稳定,保持金融稳定具有一定意义。     

An inverted U‐shaped crude oil price return‐implied volatility relationship

We examined the return–volatility relationship for USO ETF oil price return and CBOE Crude Oil ETF Volatility Index, OVX. The data for the USO and OVX covers the period covering May 11, 2007 to February 28, 2013. Our OLS regression results suggest evidence of regular feedback and leverage effects. When we employ linear quantile regression techniques, we find evidence of regular and inverse feedback effects. The inverse feedback effects being noticeable in the upper quantile region of the oil return distribution. There is also support for a regular leverage effect in USO prices. We also examined the return–volatility relationship using quantile regression copula methods for measuring the degree of asymmetry in the relationships between the oil price return and implied volatility. The results of the analysis indicate, first, that there exists a negative relationship between contemporaneous oil VIX and USO ETF oil returns. Second, that the relationship between oil returns and implied volatilities depends on the quartile at which the relationship is being investigated. Third, there exists an inverted U-shaped dependency relationship between returns and implied volatilities across quantiles. Fourth, though an inverted U-shape exists, the shape is different from those observed in stock markets.     

Using Market Expectations to Test for Speculative Bubbles in the Crude Oil Market

The wide fluctuations of oil prices from 2003 to 2008 have attracted the interest of academics and policymakers. A popular view is that these fluctuations were caused by speculative bubbles due to the increased financialization of oil futures markets. This hypothesis, however, is difficult to examine since the fundamental price of oil is unobservable and, therefore, econometric evidence in favor of bubbles may actually be due to misspecified market fundamentals. In this paper, we extend two recently proposed methodologies for bubble detection that alleviate this problem by using market expectations of future prices. Both methodologies provide no evidence of speculative bubbles.     

Nonlinearity in forecasting energy commodity prices: Evidence from a focused time-delayed neural network

This paper aims to develop an artificial neural networkbased forecasting model employing a nonlinear focused time-delayed neural network (FTDNN) for energy commodity market forecasts. To validate the proposed model, crude oil and natural gas prices are used for the period 2007–2020, including the Covid-19 period. Empirical findings show that the FTDNN model outperforms existing baselines and artificial neural networkbased models in forecasting West Texas Intermediate and Brent crude oil prices and National Balancing Point and Henry Hub natural gas prices. As a result, we demonstrate the predictability of energy commodity prices during the volatile crisis period, which is attributed to the flexibility of the model parameters, implying that our study can facilitate a better understanding of the dynamics of commodity prices in the energy market.     

Volatility spillovers and hedging effectiveness between the oil market and Eurozone sectors: A tale of two crises

This paper aims to analyze the mean and volatility spillovers between oil prices and the Eurozone supersector returns. It uses daily data of the Brent prices and 19 Eurozone supersector indices for the period from August 2004 to August 2015. This area experienced two important instabilities in that period, the global financial crisis (GFC) and the Euro debt crisis (EDC). Because financial turbulences are suspected to induce changes in the volatility dynamics, the full sample is divided into three sub-samples. Empirically, this study employs a bivariate VAR-BEKK-GARCH model that allows for transmission in volatility. The obtained volatilities and covariances are used to compute the optimal weights and hedge ratios for oil–stock portfolio holdings. The findings show that both mean and volatility spillovers between the oil market and the different Eurozone sectors are time-varying and heterogeneous. In the GFC sub-period, there is evidence of contagion effects because there is an intensification of volatility spillovers. The EDC does not seem to have induced any particular change in the spillover effects. The optimal weights, hedge ratios, and correlation analysis results allow an accurate understanding of the time series relationship between the two markets and are useful for financial market participants and policymakers.     

Time-varying impacts of demand and supply oil shocks on correlations between crude oil prices and stock markets indices

This paper investigates the time-varying impacts of demand and supply oil shocks on correlations between changes in crude oil prices and stock markets returns. The findings, obtained by means of a DCC-GARCH from June 2006 to June 2016, indicate that demand shocks positively affected the correlations between crude oil prices and stock market returns from late 2007 to mid-2008, during the apex of the financial markets volatility; from early 2009 to mid-2013, during global economy recovery from the financial crisis; and after 2015, when uncertainties about the Chinese growth and the US economy upturning arose. The dynamic conditional correlation, obtained after the removal of demand shocks effects, presented an average value of 0.13 when all economy sectors were considered and of 0.03 when the energy sector returns were excluded from the stock index. These correlations, still positive on average, suggest that exogenous supply oil shocks had little impact on US mainly enterprises cash flows over the last 10 years. Exceptions are the periods from 2006 to financial crisis and from 2014 until April 2016, when significant and unpredicted changes in oil market happened, considerably affecting the value of the main US companies.     

The influence of oil prices on the banking sector in oil-exporting economies: Is there a psychological barrier?

This paper examines the relationship between crude oil prices and banking sector market indices in the oil-exporting economies of the Gulf Cooperation Council (GCC), using daily frequency data over 2010–2017. Controlling for global banking impacts (S&P500 Banking Index) and interest rates (T-bills), dynamic ordinary least squared (DOLS) and fully modified ordinary least squared (FM-OLS) analysis indicates that oil prices positively affect bank indices until the $95 per barrel mark, after which the impact becomes negative, close to the psychological barrier found in the US equity market. The S&P500 Banking Index positively affects the GCC banking sector, whereas the interest rate affects it negatively. The validity of an inverse U-shaped relationship between crude oil price and banking sector indices is demonstrated. Causality analysis reveals the existence of bidirectional causalities between the prices of crude oil, GCC banking sectors, and the US banking sector. This paper demonstrates a vital non-linear relationship for oil-banking portfolio management and hedging strategies with oil price risk.     

Oil prices,US stock return,and the dependence between their quantiles

In this article, we examine the relationship between oil prices and US equities by proposing a novel quantile-on-quantile (QQ) approach to construct estimates of the effect that the quantiles of oil price shocks have on the quantiles of the US stock return. This approach captures the dependence between the distributions of oil price shocks and the US stock return and uncovers two nuance features in the oil–stock relationship. First, large, negative oil price shocks (i.e. low oil price shock quantiles) can affect US equities positively when the US market is performing well (i.e. at high US return quantiles). Second, while negative oil price shocks could affect the US stock market, the influence of positive oil price shocks is weak, which suggests that the relationship between oil prices on the US equities is asymmetric.     

Mean Reversion in Equilibrium Asset Prices: Evidence from the Futures Term Structure

We use the term structure of futures prices to test whether investors anticipate mean reversion in spot asset prices. The empirical results indicate mean reversion in each market we examine. For agricultural commodities and crude oil the magnitude of the estimated mean reversion is large; for example, point estimates indicate that 44 percent of a typical spot oil price shock is expected to be reversed over the subsequent eight months. For metals, the degree of mean reversion is substantially less, but still statistically significant. We detect only weak evidence of mean reversion in financial asset prices.