Aggregate Demand Shocks Research Articles

Is the Influence of Oil Shocks on Economic Policy Uncertainty Fading?

Anecdotal evidence indicates that the influence of crude oil shocks on US economic performance and, by extension, economic policy uncertainty is in decline. While existing studies present mixed evidence on the relationship between economic policy uncertainty and structural oil shocks, they fail to assess any time variation in this relationship. We examine the temporal nature of the influence of three structural oil shocks, oil supply shocks, global aggregate demand shocks, and shocks due to oil market-specific demand, on categorical economic policy uncertainty indexes from 1986 to 2023. We find that out of three oil shocks, only oil market-specific demand shocks negatively and significantly affect the US policy uncertainty over high-uncertainty regimes, with monetary policy uncertainty being the most influenced. At the same time, the impact of the other two shocks, oil supply shocks and aggregate demand shocks on EPU, is found to be fading. The oil shocks-EPU relationship exhibits regime dependencies with higher impact during the high volatile regime. Also, the role of partisan conflict in influencing the oil shocks-EPU relationship is established specifically in EPU subcategories relating to government expenditures. Hence, this paper uncovers interesting dynamics of the oil shocks-EPU relationship, such as regime dependencies, time-varying relationship, the importance of partisan conflict, and the fading influence of global oil supply shocks and oil shocks due to aggregate demand in the global economy.

Impact of crude oil price innovations on global stock market volatility: Evidence across time and space

This study investigates the impact of crude oil price innovations on global stock market volatility through a ripple-spreading network model, incorporating four dimensions of crude oil price changes: realized volatility, implied volatility, variance risk premium, and realized skewness volatility. Additionally, we assess the effects of three types of crude oil shocks—oil-specific, aggregate demand, and oil supply shocks. The results indicate that while all four dimensions exhibit similar temporal diffusion patterns, their spatial impacts differ. Global stock markets demonstrate heightened sensitivity to implied volatility and variance risk premium, followed by realized volatility and, lastly, realized skewness volatility. Moreover, we find that realized volatility spreads through multiple transmission pathways, albeit at a slower pace compared to implied volatility and the variance risk premium. Among the crude oil shocks, oil-specific shock induces the most rapid volatility transmission across global markets, with aggregate demand shock following and oil supply shock exerting the smallest influence.

G20 systemic risk: Are structural oil price shocks driving factors?

Investigating systemic risk and its driving factors has always been a hot topic. Based on this, we combine the tail-event driven network (TENET) and structural vector autoregression (SVAR) model to study characteristics of G20 systemic risk and the impact of structural oil price shocks on it. The results of TENET model are as follows: From a systemic perspective, G20 systemic risk is high and exhibits significant time-varying characteristics. It can reflect periods of economic stress. From a group perspective, systemic risk in developing countries is often higher than developed countries and is more susceptible to extreme events. The systemic risk in developing countries mainly transmits and receives within the group. The systemic risk in developed countries is more balanced in its sources and mainly releases risk to developing countries. From an individual perspective, the risk spillover in G20 stock markets shows significant regional characteristics. Additionally, Argentina is most sensitive to G20 systemic risk, while India exhibits the strongest risk spillover to other G20 members. The results of SVAR model are as follows: Oil price shocks are important factors in explaining changes in G20 systemic risk, with the most significant being specific demand shock. The supply shock exacerbates systemic risk. The aggregate demand shock increases systemic risk in the short term but reduce it in the long term. The specific demand shock significantly reduces systemic risk. Against the backdrop of increasing uncertainty and economic globalization, these findings are of great significance for accurately identifying key points in regulatory frameworks and mitigating systemic risk.

Is deflation cause for panic? Evidence from the National Banking era

This paper examines the relationship between deflation, real output, and bank panics in the United States during the National Banking era from 1868 to 1913, a period marked by frequent deflationary episodes and many bank panics. Using a structural vector autoregression with sign restrictions, I distinguish between deflation as part of negative aggregate demand shocks and deflation as part of positive aggregate supply shocks. My findings indicate that negative aggregate demand shocks are associated with an increased likelihood of bank panics, while positive aggregate supply shocks are not. I then bolster these findings with case studies of the major bank panics of 1873, 1893, and 1907, analyzing stock data, bank clearing data, and narrative evidence. Combined, these results suggest that unexpected declines in nominal income, rather than deflation itself, contribute to financial stress, aligning with recent theoretical work.

Energy-related uncertainty shocks and inflation dynamics in the U.S: A multivariate quantile-on-quantile regression approach

Existing literature suggests that uncertainty shocks can propagate like aggregate demand shocks or aggregate supply shocks. By way of extension, this study investigates the effect of energy-related uncertainty shocks on U.S. inflation while incorporating the effect of industrial production and interest rate uncertainty shocks. Using a multivariate quantile-on-quantile regression for the period 2000:M6 to 2019:M7, the findings reveal that energy-related uncertainty shocks amplify inflation by manifesting as cost-push shocks with a stronger connection emerging in quantiles slightly above the median quantile distribution of energy-related uncertainty. Although industrial production positively drives inflation, its effect is observed less around median quantiles of inflation than in the lower and upper quantiles. Furthermore, the effect of interest rate uncertainty is negative and stronger in quantiles around the median of inflation, suggesting that interest rate uncertainty behaves like aggregate demand shocks. Based on these findings, policy implications are offered.

From oil surges to renewable shifts: Unveiling the dynamic impact of supply and demand shocks in global crude oil market on U.S. clean energy trends

Transitioning to renewable energies has become undeniably important in recent decades, especially for the United States. Oil price shocks are prominent determinants of renewable energy. Hence, this study examines the impacts of oil supply, aggregate demand, and oil-specific demand shocks on renewable energy consumption from 1973:01 to 2021:05 using Structural VAR and Time-Varying Parameter VAR models. Based on the results, oil supply shocks generally have a negligible effect on renewable energy, except those that originate from sharp changes in Saudi Arabian oil production and the U.S. recession-induced oil supply deficit. Aggregate demand shocks, such as those caused by the Persian Gulf War and the Asian financial crisis, negatively affect renewable energy by reducing investments and making oil more affordable. Conversely, oil-specific demand shocks, such as the 1979 Iranian Revolution and the 2008 financial crisis, initially reduce renewable energy attractiveness but ultimately lead to increased renewable energy consumption due to soaring oil prices. This study’s unique approach of separately examining global oil market shocks provides new insights, complementing and extending previous research on the relationship between oil prices and renewable energy consumption. Eventually, policy implications for strengthening incentive policies and adding punitive policies to seeking investment in renewable energy are proposed.

The Feasibility of Coordinating International Monetary Policy Strategies in the Context of Asymmetric Demand Shocks

In the context of the increasing interdependence of countries due to the development of international trade, a relevant question arises as to whether it is necessary to conduct independent monetary policies for each country or whether it is advisable to coordinate these policies. This question becomes a key in the debate on optimal monetary policy strategies in open economies. The aim of this study is to analyze the impact of asymmetric aggregate demand shocks on the appropriateness of monetary policy coordination in a simple stochastic model of two interacting countries. The analysis of equilibrium states of the monetary authorities’ interaction strategies under study was carried out analytically by minimizing the loss function and solving one-period static optimization problems. The equilibrium states of macroeconomics of interacting countries under coordination of monetary policy and in cases of lack of coordination (Nash and Stackelberg equilibrium) in the presence of asymmetric, serially uncorrelated demand shocks have been analyzed. It is proven that the response of inflation to asymmetric demand shocks is smaller in the case of coordinated policy than in the case of non-cooperative policy. The loss function analysis shows that the compensation of demand shocks is found to be more costly in Nash equilibrium than in the case of monetary authority coordination policy. The analysis of the monetary authorities’ interaction strategies showed that the real exchange rate plays an important role in balancing supply and demand in the two economies.

Business cycles and healthcare employment.

Is healthcare employment recession-proof? We examine the long-standing hypothesis that healthcare employment is stable across the business cycle. We explicitly distinguish between negative aggregate demand and supply shocks in studying how healthcare employment responds to recessions, and show that this response depends largely on the type of the exogenous shock triggering the recession. First, aggregate healthcare employment responds procyclically during demand-induced recessions but remains stable during supply-induced recessions. Second, healthcare utilization drops significantly during demand-induced recessions, explaining the decline in healthcare employment during these periods. Finally, there is significant heterogeneity in the employment responses of the healthcare sub-sectors. While healthcare employment in most sub-sectors responds procyclically during recessions caused by both negative demand and supply shocks, it responds countercyclically in nursing-dominant sectors. Importantly, by isolating the recessionary impact of negative aggregate demand shocks from supply shocks on healthcare employment, we provide new empirical evidence that healthcare employment, in general, is not recession-proof.

Not all oil shocks are alike and symmetric for economic growth: evidence from Korea

ABSTRACT This study’s primary contribution lies in conducting a comprehensive evaluation of how oil supply and demand shocks affect Korea’s economic growth, particularly emphasizing the role of uncertainty in global trade policies. Our research is primarily motivated by the desire to comprehend how various oil-related shocks impact a highly oil-import-dependent advanced economy like Korea, especially amid the fluctuating landscape of global trade policies. Employing a multi-step methodology that includes Structural Vector Autoregression (SVAR), Autoregressive Distributed Lag (ARDL), and Nonlinear ARDL models, we delve into an extensive analysis spanning from 1998:Q1 to 2021:Q4. Our findings reveal that Korea’s economic growth is primarily influenced by aggregate and oil-specific demand shocks rather than oil supply shocks in the short and long term. Additionally, we observe an asymmetric influence of aggregate demand and oil-specific demand shocks on Korea’s long-term growth. However, such asymmetry is not evident across these three shock types in the short term. Lastly, we underscore the significant role of global trade policy uncertainty in assessing the impact of oil prices on Korea’s economic expansion. Our study’s unique focus on oil supply and demand shocks alongside policy uncertainty distinguishes it, emphasizing its distinct contribution to the field.

The effect of structural oil shocks on stock returns of Indian renewable energy companies across market conditions

PurposeThis study aims to evaluate the structural oil shocks effect on stock returns of Indian renewable energy companies across market conditions.Design/methodology/approachThis study applies the structural vector autoregression model to estimate sources of oil shocks such as oil supply shock, aggregate demand shock and oil price-specific demand shock. In the next step, the panel quantile regression model estimates the effect of these oil shocks on stock return across market conditions. Monthly data are collected from January 2009 to December 2019. All renewable energy companies listed on the National Stock Exchange of India are considered for the analysis.FindingsIn the whole sample analysis, this study finds that oil shocks negatively affect stock returns in most of the market conditions except oil price-specific demand shock. In sub-groups, oil shocks driven by supply and aggregate demand also negatively affect stock return in most market conditions. This study finds the positive interaction of oil price-specific demand shock. A majority of these positive interactions happen in bearish market conditions. In the whole sample, the asymmetric effects of shocks driven from oil supply and oil price-specific demand are seen in most quantiles or market conditions. At the same time, aggregate demand shock does not affect asymmetrically. In the sub-group analysis, standalone renewable energy companies stock returns are least asymmetrically affected by these oil shocks. The asymmetries of oil supply-driven shock on stock returns of the renewable energy sub-group companies are found in most quantiles.Originality/valueFirst, this is a company-level study of the stock returns response to the structural oil shocks in the renewable energy sector. Second, to the best of the authors’ knowledge, this type of study is the first in the Indian context. Third using panel quantile regression model along with capital asset pricing model framework, the authors investigate these effects across market conditions.

Do Exchange Rates Respond Asymmetrically to Crude Oil Market Shocks? Insights from BRICS and Pakistan

Abstract The shocks in the crude oil market are unlikely to have symmetric impacts on exchange rates, especially over various time periods. Furthermore, in low- and high-volatility regimes, exchange rates are predicted to respond differently to oil market shocks. By employing Markov-switching model and state-space model, this research empirically investigates whether oil market shocks exert asymmetric impacts on exchange rates, across the time and across different levels of volatility. In doing so, the study utilizes monthly data from January 1994-September 2017 for BRICS countries and Pakistan. The findings indicate that although oil supply shocks are mostly insignificant, oil price shocks appear statistically significant to affect the exchange rates whereas aggregate demand shocks are most volatile and are more likely to cause exchange rate fluctuations. The study concludes that various forms of oil shocks have a wide range of consequences on exchange rate determinations. Nonetheless, exchange rates’ response to oil shocks differ dramatically through low- and high-volatility states, implying that oil shocks exert a time-varying impact on exchange rates. Finally, the findings provide credence to the phenomenon of asymmetry in exchange rate responses to oil market shocks.

Monetary Policy, Employment Shortfalls, and the Natural Rate Hypothesis

Activity shortfalls are more costly than strong activity. I consider optimal monetary policy under discretion with an asymmetric (activity shortfalls) loss function. The model satisfies the natural rate hypothesis. The asymmetric loss function and resulting optimal monetary policy exacerbates shortfalls in activity. The additional frequency of activity shortfalls arises from the adjustment of expectations implied by the natural rate hypothesis. The shortfalls asymmetry leads to an inflationary bias, similar to results in the time-consistency literature. Mandating a central bank objective with greater symmetry than the social loss function improves outcomes. Greater symmetry lowers the magnitude of activity shortfalls. Greater symmetry also reduces inflation bias. The model also implies that an optimal monetary policy does not accommodate fluctuations from aggregate demand shocks, as is standard in such models. As a result, the analysis implies that monetary accommodation of strength in economic activity likely requires justifications other than asymmetric costs of shortfalls.

Asymmetric effects of oil demand and oil supply shocks on New Zealand's trade

We analyze how different types of oil price shocks affect trade and whether these effects are asymmetric. Our focus is on New Zealand, which has historically been a net oil importer but recently transitioned to an import-only model to meet its needs for finished petroleum products. The analysis proceeds in two stages. First, we identify oil supply shocks, aggregate demand shocks, and oil-specific demand shocks using a recursive structural vector autoregression model. Then, we study whether the effects of these shocks on New Zealand's exports to and imports from its key trading partners—Australia, China, and the United States—are asymmetric using nonlinear autoregressive distributed lag models. The results show differences in the effects of different types of oil price shocks on exports and imports in the short and long run; however, there is limited evidence of asymmetries in these effects, especially in the case of exports. Exports to Australia and China, the most critical markets for New Zealand's exporters, are largely insensitive to oil price shocks.

On the effects of crude oil demand and supply shocks on Korea’s bilateral trade balance: are the effects asymmetry?

ABSTRACT The contribution of the present article is to find any indication of whether three components of oil shocks – oil supply shocks, aggregate demand shocks, and oil-specific demand shocks – asymmetrically influence the bilateral trade balance of Korea with its top 10 partners. We discover that there is evidence that the three oil shocks asymmetrically influence Korea’s trade balance with some of its top 10 partners in the short- and long run. Additionally, the asymmetric impact appears to be a country-specific phenomenon and varies depending on different shock components.

The impact of oil shocks on the stock market

This paper investigates the reaction of real stock returns and their volatility in the three main euro area economies (France, Germany and Italy), the U.K. and the U.S. to oil price changes caused by different shocks in the supply-side and demand-side of the global crude oil market, including the shock on the demand for oil inventories. Our findings suggest that the impact of oil supply and aggregate demand shocks on real stock returns and volatility are not altered when oil inventories are explicitly considered in the modeling of global crude oil market. However, the effects of oil-specific demand shocks on real stock returns are modified by the inclusion of oil inventories in the model, stressing the importance of the uncertainty channel in the link between the oil and stock markets. Finally, oil inventory shocks have a negative impact at medium time horizons on real stock returns, as the surge in the price of oil causes depletion of inventories.

Unraveling the structural sources of oil production and their impact on CO2 emissions

In this study, we examine the structural short- and long-run effects of oil supply and demand shocks on the production of crude oil. Among these, oil supply shocks are the major determinant of oil production. Furthermore, we adopt local projections to elicit that oil supply and aggregate demand shocks are significant drivers of CO2 emissions, whereas oil-specific demand shocks have only limited impact on overall emissions in the short-, mid-, and long-term. These findings underscore the limitations of current demand-side policies within a selected group of countries, emphasizing the necessity for global support and binding commitments to effectively reduce emissions from oil production and meet the climate targets set by the Paris Agreement in 2015.

Korea’s neutral interest rate: Estimates, determinants, and monetary policy stance

A neutral interest rate is a key indicator of the monetary policy stance. This study estimates South Korea’s neutral interest rates and their determinants. Based on the results, we investigate the prior monetary policy patterns of the Bank of Korea (BOK) and evaluate its stance. We adopted a time-series model approach, with a Bayesian econometric strategy. We can summarize the empirical findings as follows. First, the neutral interest rate has continued to fall, and it tends to fall sharply during downturns, such as the global financial crisis and COVID-19 pandemic. Second, the fall over the past two decades is largely attributable to population aging and the neutral US interest rate. Meanwhile, the recent rebound in the neutral interest rate seems to be due to the increase in the net issuance of government bonds. Finally, the BOK responded substantially to aggregate demand shocks over recent decades. In particular, the BOK’s current monetary policy stance is contractionary because of its active response to inflation rather than real activity.

Does Crude Oil Production Respond Differently to Oil Supply and Demand Shocks? Evidence from Alaska

The paper conducts extensive research on how Alaska’s oil production is affected by shocks in oil supply, aggregate demand, and oil-specific demand under both symmetric and asymmetric scenarios. We demonstrate that employing an empirical model with the inclusion of an asymmetric assumption provides a more suitable approach for comprehensively understanding the short and long-term impacts of various oil shocks on Alaska’s oil production. We also find that Alaska’s oil production is significantly affected by oil supply and aggregate demand shocks over both short and long periods, whereas oil-specific demand shocks have a minimal impact. Finally, our research identifies asymmetric effects in the long term, particularly concerning the influence of aggregate demand and oil-specific demand shocks on Alaska’s oil production. However, no asymmetric effects are observed for the three oil shocks in the short term.

The time-varying and asymmetric impacts of oil price shocks on geopolitical risk

This paper explores whether and how three different types of oil price shocks, including the oil supply shock (OSS), aggregate demand shock (ADS), and oil-specific demand shock (ODS), affect geopolitical risk (GPR). Specifically, according to Granger causality tests, we find that changes in OSS and ODS can cause changes in GPR in a linear or nonlinear way, while ADS cannot significantly affect GPR. Based on this result, the dynamic impacts of OSS and ODS on GPR are discussed through the TVP-VAR model. Results of the study indicate that OSS adversely affects GPR in most cases, while the ODS positively affects GPR. More importantly, effects of the two oil shocks (OSS and ODS) on GPR are time-dependent, and the short-term effects are significantly stronger than the medium- and long-term effects. The asymmetric effects of OSS and ODS are further examined. It is found that OSS and ODS affect GPR asymmetrically during the short term, and impacts of the negative OSS and positive ODS are stronger than those of the positive OSS and negative ODS.

The impact of aggregate demand shocks on Germany’s trade balance and industry

ABSTRACT We examine the impact of aggregate demand shocks on Germany’s trade balance and industry after the adoption of the Euro. Using a Structural Vector Autoregression we find that Germany’s trade balance and industry are highly responsive to aggregate demand shocks. As Germany’s income increases, this leads to an increase in imports and a gradual reduction in its trade balance. However, Germany’s export capacity stabilizes its trade balance. This is over a period of rapid globalization, technological progress confronting all economies, several global trade disruptions and with disturbances to crucial energy requirements for Germany’s industry and export sector.