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The purpose of this paper is to investigate the possible asymmetric response of inflation expectations to oil price and policy uncertainty shocks.

The authors used the test of asymmetric impulse responses proposed by Kilian and Vigfusson (2011) to explore the issue of asymmetry.

Unlike other studies that assume symmetric effects, this study finds asymmetric effects of oil price and policy uncertainty on inflation expectations for positive and negative shocks and for pre- and post-financial-crisis periods. In particular other things being same, a same magnitude oil price shock has greater effect on inflation expectations in post-crisis period than in pre-crisis period. Moreover, in post-crisis period a positive increasing oil price shock has greater effect on inflation expectations than a negative decreasing oil price shock.

The paper concludes that FED’s greater focus on output stabilization since financial crisis has made inflation expectations less anchored and a sudden surge in oil price may quickly trigger inflation through inflation expectations.

Exploring the issue of the possible asymmetric effects of oil price and economic policy uncertainty on inflation expectations is a relatively new topic (as other studies only assumed symmetry and did not investigate the possible asymmetry in this regard).

This study examines the value implications of oil price uncertainty for investors in diversified firms using a sample of 922 USA firms from 2001 to 2019.

Our study employs a panel dataset to examine the value implications of oil price uncertainty for diversified firm investors. We consider several alternative specifications to account for unobserved factors and measurement errors that could potentially bias our results. In particular, we use alternative measures of the excess value of diversified firms and oil price uncertainty, additional control variables, fixed-effects models, the Oster test, impact threshold for confounding variable (ITCV) analysis, two-stage least square instrumental variable (2SLS-IV) analysis and the system-GMM model.

We find that the excess value of diversified firms, relative to a benchmark portfolio of single-segment firms, increases with high oil price uncertainty. The impact of oil price uncertainty is asymmetric, as corporate diversification is value-increasing for diversified firm investors only when the volatility is due to positive oil price changes and amidst supply-driven oil price shocks. The excess value increases irrespective of diversified firms’ financial constraints and oil usage. Diversified firms become conservative in their internal capital allocations with high oil price uncertainty. Such conservatism is value-increasing for diversified firm investors, as it supports higher performance in response to oil price uncertainty.

Our study has three important implications: first, they are relevant to investors in understanding the portfolio value implications of oil price uncertainty. Second, they are helpful for firm managers while comprehending the value-relevant implications of internal capital allocations. Finally, our findings are policy relevant in the context of the future of diversified firms in developed markets.

This study investigates the nexus between the returns on oil prices (OP) and unemployment (UR) while taking into account the influences of two of the most representative measures of uncertainty, the Baker et al. (2016) and Caldara and Iacovello (2021) indexes of economic policy uncertainty (EP) and geopolitical risks (GP), in the relationship.

The authors use data on the US, Canada, France, Italy, Germany and Japan from January 2000 to February 2022 and the UK from January 2000 to December 2021. The authors then apply the continuous wavelet transform (CWT), wavelet coherence (WC), partial wavelet coherence (PWC) and multiple wavelet coherence (MWC) to examine the returns within a time and frequency framework.

The CWT tracks the movement and evolution of individual return series with evidence of high variances and heterogenous tendencies across frequencies that also align with critical events such as the GFC and COVID-19 pandemic. The WC reveals the presence of a bidirectional relationship between OP and UR across economies, showing that the two variables affect each other. The authors’ findings establish the predictive influence of oil price on unemployment in line with theory and also show that the variation in UR can impact the economy and alter the dynamics of OP. The authors employ the PWC and MWC to capture the impact of uncertainty indexes in the co-movement of oil price and unemployment in line with the theory of “investment under uncertainty”. Taking into account the common effects of EP and GP, PWC finds that uncertainty measures significantly drive the co-movement of oil prices and unemployment. This result is robust when the authors control for the influence of economic activity (proxied by the GDP) in the co-movement. Furthermore, the MWC reveals the combined intensity, strength and significance of both oil prices and the uncertainty measures in predicting unemployment across countries.

This study investigates the relationship between oil prices, uncertainty measures and unemployment under a time and frequency approach.

1. Wavelet approaches are used to examine the relationship between oil prices and unemployment in the G7.

2. We account for uncertainty measures in the dynamics of oil prices and unemployment.

3. We observe a bidirectional relationship between oil prices and unemployment.

4. Uncertainty measures significantly drive oil prices and unemployment co-movement.

5. Both oil prices and uncertainty measures significantly drive unemployment.

Wavelet approaches are used to examine the relationship between oil prices and unemployment in the G7.

We account for uncertainty measures in the dynamics of oil prices and unemployment.

We observe a bidirectional relationship between oil prices and unemployment.

Uncertainty measures significantly drive oil prices and unemployment co-movement.

Both oil prices and uncertainty measures significantly drive unemployment.

This paper aims to investigate how oil price uncertainty affects real gross domestic product (GDP) and industrial production in eight Central and Eastern European countries (CEEC).

In the research process, the authors use the Bayesian method of inference for the two applied methodologies – Markov switching generalized autoregressive conditional heteroscedasticity (GARCH) model and quantile regression.

The results clearly indicate that oil price uncertainty has a low effect on output in moderate market conditions in the selected countries. On the other hand, in the phases of contraction and expansion, which are portrayed by the tail quantiles, the authors find negative and positive Bayesian quantile parameters, which are relatively high in magnitude. This implies that in periods of deep economic crises, an increase in the oil price uncertainty reduces output, amplifying in this way recession pressures in the economy. Contrary, when the economy is in expansion, oil price uncertainty has no influence on the output. The probable reason lies in the fact that the negative effect of oil volatility is not strong enough in the expansion phase to overpower all other positive developments which characterize a growing economy. Also, evidence suggests that increased oil uncertainty has a more negative effect on industrial production than on real GDP, whereas industrial share in GDP plays an important role in how strong some CEECs are impacted by oil uncertainty.

This paper is the first one that investigates the spillover effect from oil uncertainty to output in CEEC.

The purpose of this study is to examine the effect of product market competition on the oil uncertainty–investment relation.

The authors use firm-level financial data from the COMPUSTAT database, competition proxies from Hoberg and Phillips (2016) and macroeconomic data on crude oil price uncertainty. Corporate investment is measured as capital expenditure scaled by total assets or as the annual change in (net) total fixed assets plus depreciation. Since our panel data covers a short period (22 years) and the regressions include a combination of a lagged dependent variable and firm fixed effects, the authors apply Blundell and Bond’s (1998) GMM system when regressing corporate investment on the interaction between oil uncertainty and competition.

Consistent with the theories in the irreversible investment literature, the authors first show that investments are negatively related to oil uncertainty. Second, they show that firms in competitive industries decrease their investments in response to heightened uncertainty by a higher degree than firms in concentrated industries, suggesting that competition can exacerbate negative investment outcomes when success is uncertain. The authors also examine how competition relates to investment asymmetric reactions to positive and negative oil price return volatilities and find a stronger negative relationships between competition and investment-positive oil price volatility, indicating that increasing the probability of a negative outcome due to uncertainty leads firms to reduce investment to a larger extent.

The findings provide useful insights to guide corporate investment decisions under oil price change uncertainty. In particular, if firms can wait for the resolution of uncertainty before deciding to pursue irreversible investment in a competitive market, they can avoid potentially large losses by foregoing investment when the outcomes are unfavorable. This is because competition brings a greater uncertainty to firm performance if the investment outcome is poor, as firms in competitive industries share a large proportion of industry-wide profits with rivals and, thus, competition could erode profit margins and increases the likelihood of being driven out of the market. Hence, firms in competitive markets should balance between strategic preemptive motives and waiting for the resolution of uncertainty before deciding to pursue investment.

This study is the first to examine the effect of competition on the relationship between investment and oil price uncertainty. Moreover, it is the first to examine the effect of competition on the asymmetric response of investment to oil price uncertainty emanating from positive and negative changes in oil price.

This paper examines the effect of oil price uncertainty on corporate social responsibility (CSR) for 507 US firms over the period 1985–2019.

To investigate the nexus between oil price uncertainty and CSR, we have proceeded with a fixed-effects panel regression model over the period 1985–2019.

Using a dataset of 507 US firms, different specifications of CSR and two alternatives measures of oil price uncertainty, we show that oil price uncertainty negatively influences the CSR in the global US panel and firm's characterized panel. This negative effect is dependent on firms' size, firm's age and value of book share of firms.

US firms are exposed to more risk when carrying high levels of debt, resulting in reduced spending to improve social and environmental conditions. While the negative effect of oil price uncertainty on CSR is exacerbated in economic crisis periods.

US firms are influenced by energy price volatility especially by oil price fluctuations which are the main factor of American economic growth. The rise of oil price uncertainty reduces sustainable corporate development and investment in the green economy.

Rethinking renewable energies as an alternative solution in order to guarantee the performance and sustainability of social, environmental and cultural activities.

Young and small firms, lower-share outstanding firms and high book value per share firms are the most negatively affected by oil price uncertainty and therefore their social responsibilities are reduced. However, by introducing interaction variables in the main model, we find that the most indebted firms on one hand and big firms and high-number shares outstanding firms, on the other hand, are the most influenced by oil price uncertainty which consequently limits their social and environmental responsibility.

This paper aims to examine the impact of oil price uncertainty on the stock market returns of ten oil importing and exporting countries in the Middle East and North Africa (MENA) region. The sample contains both oil importing and oil exporting countries that depend heavily on oil production and exports.

This paper intuitively applies the generalized autoregressive conditional heteroskedasticity (GARCH)-in-mean vector autoregression (VAR) model using weekly data over the period January 2001-February 2014.

The findings indicate that oil uncertainty matters in the determination of real stock returns. There is a negative and significant relationship between oil price uncertainty and real stock returns in all countries in the sample. The influence of oil price risk is more serious in those economies that depend heavily on oil revenues to grow.

The findings have important implications. For instance, managers should be aware of the linkages between oil price uncertainty and equity returns when they use oil to hedge and diversify equities, particularly in economies where oil is important for economic growth. The policymakers in oil importing countries should encourage companies to improve efficiency in the usage of energy and to resort to alternative sources to avoid fluctuations in earnings and equity prices. In the countries that heavily depend on oil efforts should focus on diversifying the domestic economy away from oil to protect against oil price fluctuations.

To the best of our knowledge, this is the first attempt to study the influence of oil price uncertainty in the MENA region. The sample contains both oil importing and oil exporting countries that depend heavily on oil production and exports. The empirical findings of the paper have valuable policy implications for investors, market participants and policymakers.

This research unfolds a holistic association between economic policy uncertainty (EPU) and three important markets (oil, stock and gold) in the Indian context. To do same, the current study uses the monthly dataset of each variable spanning from November 2005 to March 2022.

The authors have portrayed the wavelet-based coherence, correlation and covariance plots to explore the interaction between EPU and markets' behavior. Then, a wavelet-based quantile on quantile regression model and wavelet-based Granger causality has been applied to examine the cause-and-effect relation and causality between the EPU and markets.

The authors’ findings report that the Indian crude oil buyers do not need to consider Indian EPU while negotiating the oil deals in the short term and medium term. However, in case of the long-term persistence of uncertainty, it becomes difficult for a buyer to negotiate oil deals at cheap rates. EPU causes unfavorable fluctuation in the stock market because macroeconomic decisions have a substantial impact on it. The authors have also found that gold is a gauge for economic imbalances and an accurate observer of inflation resulting from uncertainty, showing a safe haven attribute.

The authors’ work is original in two aspects. First, their study solely focused on the Indian economy to investigate the impact and causal power of Indian EPU on three major components of the Indian economy: oil, stock and gold. Second, they will provide their findings after analyzing data at a very microlevel using a wavelet-based quantile on quantile and wavelet-based Granger causality.

This paper aims to examine the effects of oil price uncertainty on corporate investment of Islamic stocks during the COVID-19 pandemic.

The study uses a panel data set that covers 398 listed Islamic stocks from seven major Asia Pacific countries over the period of five years from 2017 to 2021, yielding 1,990 observations. Specifically, this paper investigates the said association by combining the real options theory regarding investment and the panel data-based econometric method that captures the dynamic relationship, the generalized method of moments estimators.

The findings show that the relationship between the oil price volatility and corporate investment of Islamic stocks is significant and nonlinear in nature, suggesting the presence of both the growth options and the waiting options. Overall, the results reveal that corporate investment of Islamic stocks is hindered during the unprecedented corona crash, when oil price increases at exponential rates.

The findings suggest that considering the information caused by unprecedented events like the COVID-19 pandemic is crucial for investment decisions of Islamic stocks. Therefore, policymakers and regulators should incorporate the impact of oil price uncertainties caused by unprecedented events like the COVID-19 pandemic on firm’s investment expansion and diversification strategies.

To the best of the authors’ knowledge, this paper is the first to examine the relationship between the investment of Islamic stocks and the oil price uncertainty under compound options theory in top Asian oil-importing countries.

This paper examines the impact of macroeconomic and risk factors on the profitability and volatility of professional momentum portfolios for the US, the UK, Japan and Germany, for the period 1998–2018. Many of the factors employed, such as energy price changes and economic policy uncertainty, have been largely neglected in the relevant literature.

Regression analysis, VECTOR AUTOREGRESSION (VAR), Panel-VAR, Variance Decomposition Analysis

The results indicate that, since the financial crises in the US and the EU, energy prices and economic-policy uncertainty have become important return determinants, along with market-related uncertainty that seems to have a stable impact over time, especially for the U.S. and U.K. portfolios.

Economic policy uncertainty significantly affects contemporaneous momentum returns in the US, UK and Japan, mainly between 2007 and 2018, while market-related uncertainty affects all markets during all subperiods. In addition, the variance of market-related uncertainty (VIX) explains a large percentage of the variance in the momentum returns for the US, UK and Germany.

The main implication of the findings for portfolio managers is that a manager may increase (decrease) exposure to the momentum factor during optimistic (pessimistic) periods and during periods of rising energy prices (high economic policy and market-related uncertainty).

The paper examines the impact of factors, such as energy prices and economic policy uncertainty, which have been largely neglected in the relevant literature on the possible drivers of the momentum strategies. It employs professional portfolios that are often used in practice as benchmark indexes.