Interrelationship between crude oil and the stock markets of major demanders and suppliers in emerging and developed markets

This paper investigates the time-varying relationship between the stock markets of advanced and emerging oil-exporting and oil-importing countries and the international crude oil price indices. The results reveal that the time-varying among the oil-exporting and oil-importing countries responds similarly to aggregate supply- and demand-side effects. Oil-exporting countries have a slightly higher integration with the oil markets, while oil supply shocks have a slightly higher impact on emerging oil-exporting countries. The oil markets exhibit a lower time-varying relationship with the Asia-Pacific oil-importing markets, which indicates those markets may be attractive to investors during periods of turbulence in the oil market.     

Return and volatility transmission between oil prices and oil-exporting and oil-importing countries

This paper provides further evidence of the comovements and dynamic volatility spillovers between stock markets and oil prices for a sample of five oil-importing countries (USA, Italy, Germany, Netherland and France) and four oil-exporting countries (United Arab Emirates, Kuwait, Saudi Arabia and Venezuela). We make use of a multivariate GJR-DCC-GARCH approach developed by Glosten et al. (1993). The results show that: i) dynamic correlations do not differ for oil-importing and oil-exporting economies; ii) cross-market comovements as measured by conditional correlation coefficients increase positively in response to significant aggregate demand (precautionary demand) and oil price shocks due to global business cycle fluctuations or world turmoil; iii) oil prices exhibit positive correlation with stock markets; and iv) oil assets are not a good ‘safe haven’ for protection against stock market losses during periods of turmoil.     

Oil shocks and stock volatility: new evidence via a Bayesian,graph-based VAR approach

ABSTRACT

This article examines the temporal dependence between three oil shocks and realized volatility in the stock markets of G20 countries between 1994 and 2019. By applying a novel, graphical, Bayesian VAR (BGVAR) model, we calculate unidirectional linkages of oil and stock volatility with a full and segmented sample. The results suggest an overall causality from stock volatility to oil shocks. For certain short, specific periods, the causal direction reverses. Depending on the country and the source of an oil shock, the magnitude and type of the effect can vary considerably. Specific oil-market shocks occur most often in our full sample. In a time-varying structure, oil supply shocks’ impact on stock volatility is more prominent, and net oil-importing countries’ responses to these shocks are greater than for oil-exporting countries. In addition, we find that relationship dynamics can capture market information, such as global economic growth during the 2008–2009 financial crisis.     

Responses of Economic Activity to Global Oil Market Shocks: A Comparative Analysis of Major Net Oil‐Producing and ‐Consuming Countries

We argue that four channels drive oil price shocks during 1986M5–2013M1, namely the oil supply, aggregate demand, oil‐specific demand and real exchange rates. Our findings are that oil price shocks driven by oil supply positively affect net oil‐consumer countries faster than net oil‐producer countries. Oil price shocks driven by aggregate demand are largely country‐specific. Oil shocks driven by other demands influence net oil‐producers faster than net oil‐consumers negatively, and persistently mostly among net oil‐producers. Other shocks have large negative effects on the industrial production of all countries, with responses appearing very quickly and persisting for at least a year.     

Exchange rates of oil exporting countries and global oil price shocks: a nonlinear smooth-transition approach

This paper models logistic and exponential smooth transition adjustments of real exchange rates for six major oil-exporting countries in response to different shocks affecting oil prices. The logistic form captures asymmetric and the exponential form symmetric adjustments in regards to positive and negative oil price shocks. We chose oil-exporting countries that do not peg their exchange rates. For most countries, we detect no statistically significant non-linearities for the adjustment process of real exchange rate returns, be they asymmetric or symmetric, in response to oil supply shocks, idiosyncratic oil-market-specific shocks, and speculative oil-market shocks. Exceptions are oil supply shocks in the UK and possibly Brazil, where exchange rates respond nonlinearly, though the effects are symmetric for both countries. On the other hand, global aggregate demand shocks, which are shocks not originating directly in the oil market, have nonlinear asymmetric effects on real exchange rate returns for Canada, Mexico, Norway and Russia, and nonlinear symmetric effects for Brazil and the UK.     

OIL PRICE SHOCKS AND STOCK MARKET BOOMS IN AN OIL EXPORTING COUNTRY

This paper analyses the effects of oil price shocks on stock returns in Norway, an oil-exporting country, highlighting the transmission channels of oil prices for macroeconomic behaviour. To capture the interaction between the different variables, stock returns are incorporated into a structural VAR model. I find that following a 10% increase in oil prices, stock returns increase by 2.5%, after which the effect gradually dies out. The results are robust to different (linear and non-linear) transformations of oil prices. The effects on the other variables are more modest. However, all variables indicate that the Norwegian economy responds to higher oil prices by increasing aggregate wealth and demand. The results also emphasize the role of other shocks; monetary policy shocks in particular, as important driving forces behind stock price variability in the short term.     

Oil shocks,US economic uncertainty,and emerging stock markets

This paper investigates the impacts of oil price shocks and US economic uncertainty on emerging equity markets within a structural VAR model. I find that both precautionary oil demand and US economic uncertainty shocks have significant negative effects on emerging stock returns, whereas aggregate demand shocks cause a sustained rise of the returns. In particular, the direct effects of oil shocks on emerging stock returns are amplified by the endogenous response of US economic uncertainty. Variance decomposition analysis shows that oil market fundamentals and US economic uncertainty are an important determinant of emerging equity returns, accounting for 35% and 24% of their long-term variations, respectively. The heterogeneous impacts of structural shocks on individual emerging markets, however, suggest that a well-diversified portfolio can be obtainable.     

Responses of international stock markets to oil price surges: a regime-switching perspective

We propose an enhanced regime-switching model to investigate the relationships between oil price surges and stock market cycles in five oil-dependent countries. Our model accounts for the joint effects of the West Texas Intermediate (WTI) and Brent oil markets and simultaneously captures asymmetry, volatility persistence and regime shifts contained in the underlying financial data. We find that stock market returns strongly exhibit a regime-switching behaviour, but they react differently to the increases in the price of oil. More precisely, the conditional volatility of studied stock markets during the bear market phases is found to be less affected by oil price surges than during the bull market phases. Whether the effects of oil shocks are positive or negative depends greatly on the degree of reliance on imported oil, the share of the cost of oil in the national income and the degree of improvement in energy efficiency of a given country. Finally, the relatively opposite effects of the WTI and Brent oil markets suggest the potential of substitution between them as well as the necessity of a diversification strategy of oil supply sources.     

THE IMPACT OF OIL PRICE SHOCKS ON THE U.S. STOCK MARKET*

It is shown that the reaction of U.S. real stock returns to an oil price shock differs greatly depending on whether the change in the price of oil is driven by demand or supply shocks in the oil market. The demand and supply shocks driving the global crude oil market jointly account for 22% of the long‐run variation in U.S. real stock returns. The responses of industry‐specific U.S. stock returns to demand and supply shocks in the crude oil market are consistent with accounts of the transmission of oil price shocks that emphasize the reduction in domestic final demand.     

Crude oil and BRICS stock markets under extreme shocks: New evidence

In this paper, we propose an extreme Granger causality analysis model to uncover the causal links between crude oil and BRICS stock markets. Instead of analyzing the average causal relationship, as is usually done, we first decompose the data into three cumulative components and investigate the causality between different combinations of extreme positive, extreme negative and normal shocks. These types of combinations can describe all facets of the interactions between crude oil and BRICS stock markets, especially under extreme shocks. In contrast to the results obtained by the traditional Granger causality test, our empirical findings demonstrate that the effect of oil price changes on the stock markets is stronger under extreme circumstances than under normal circumstances. Furthermore, large upward or downward oil price changes have an asymmetric impact on extreme upward or downward stock price changes. Finally, robustness checks verify the rationality and validity of the extreme Granger causality analysis.     

Asymmetric effects of oil price shocks on stock returns: evidence from a two-stage Markov regime-switching approach

The asymmetric effects of oil price shocks on stock returns have attracted the attention of many researchers in the past several decades. Most of these researchers’ studies, however, do not separate out the sources of oil price shocks when examining the asymmetric effects. In this article, we address this limitation using a two-stage Markov regime-switching approach. Our results indicate that oil supply and demand shocks have a null or minimal impact on stock returns in a low-volatility regime and a statistically significant impact in a high-volatility regime. We observe that oil demand shocks affect stock returns significantly more than oil supply shocks. A positive aggregate demand shock significantly increases stock returns, whereas a positive oil-specific demand shock markedly decreases stock returns. These results have important implications for policymakers and investors.     

Optimal exchange rate policy for a small oil-exporting country: A dynamic general equilibrium perspective

This paper examines the choice of optimal exchange rate regime for an oil-exporting small open economy using a welfare-based model. The paper extends the standard New Keynesian Small Open Economy model to include three countries: a small oil-exporting country and two large foreign countries. The model also features three sectors: traded, non-traded, and primary-commodity (crude-oil). The sources of uncertainty are random monetary (demand), productivity (real), and real oil price (supply) shocks. Despite the absence of a non-oil traded sector in this primary-commodity economy, the welfare analysis suggests that flexible exchange rate regimes can reduce external shocks and consumption volatility given certain caveats about pricing-schemes. The analysis also suggests that a basket peg is more welfare-improving than a unilateral peg, as higher volatility of the anchor currency reduces consumer welfare.     

Nominal Wage Flexibility and Economic Performance: Evidence and Implications Across Industrial Countries

By considering the theoretical connection between labour and product markets, the paper evaluates the economic relationship of these markets within the contractual wage rigidity New Keynesian explanation of business cycles. The empirical analysis focuses on the short‐run cyclical behaviour of real output, prices and wages for 19 industrial countries. Time‐series and cross‐sectional regressions are estimated. Cross‐sectional cyclical correlations in the labour and goods markets are also evaluated across countries. Consistent with the theoretical predictions, aggregate uncertainty is an important factor in increasing the flexibility of the nominal wage in response to aggregate demand shocks. Wage flexibility accelerates price inflation and moderates the response of real output growth to aggregate demand shocks. Wage flexibility does not appear to be an important factor in differentiating the real and inflationary effects of energy price shocks across countries. Finally, aggregate uncertainty increases the responsiveness of output and price to productivity shocks.     

Financial development shocks and contemporaneous feedback effect on key macroeconomic indicators: A post Keynesian time series analysis

In this paper we take into account the role of the banking system, credit and stock market in stimulating aggregate demand in post Keynesian tradition. According to the results of impulse response analysis; it appears all three financial development indicators contributed as expected in improving macroeconomic performance of South Korean economy. Stock market capitalisation and domestic credit availability are strongly responsible for stimulation of investment, saving and productivity Growth in Hong Kong. The UK financial system seems vulnerable to future shocks, whether by shocks in the credit markets or stock markets.     

Assessing the impacts of oil price fluctuations on stock returns in emerging markets

This paper investigates the effects of oil price shocks on stock market returns in emerging countries. It differs from previous works in three main aspects: i) we distinguish three groups of countries, the largest net-oil importing countries, the moderately oil-dependent countries, and the largest net-oil exporting countries; ii) The potential influence of bullish and bearish market conditions on the causal relationship between oil and stock returns is controlled for in our analysis; iii) The empirical investigation is based on an analysis of long-term correlation and a conditional multifactor pricing model. Using data from twenty-five emerging countries, our results suggest that oil price risk is significantly priced in emerging markets, and that the oil impact is asymmetric with respect to market phases.     

When is market incompleteness irrelevant for the price of aggregate risk (and when is it not)?

In a standard incomplete markets model with a continuum of households that have constant relative risk aversion (CRRA) preferences, the absence of insurance markets for idiosyncratic labor income risk has no effect on the premium for aggregate risk if the distribution of idiosyncratic risk is independent of aggregate shocks and aggregate consumption growth is independent over time. In equilibrium, households only use the stock market to smooth consumption; the bond market is inoperative. Furthermore, the cross-sectional distributions of wealth and consumption are not affected by aggregate shocks. These results hold regardless of the persistence of idiosyncratic shocks, even when households face tight solvency constraints. A weaker irrelevance result survives when we allow for predictability in aggregate consumption growth.     

Oil price effects over individual Portuguese stock returns

During the last decades, the world energy dependence increased significantly. Understanding how companies depend on oil prices is essential, especially for countries highly dependent or importers. The work intends to investigate the relationship between oil price changes and Portuguese listed companies’ returns. Using the generalized autoregressive conditional heteroskedasticity model, we conclude that nearly 20 % of the companies are significantly affected by oil prices, finding also evidence that these effects are asymmetric, depending on the company’s current situation in the market (result attributed to the lack of liquidity and the small number of firms included within the sample). There exists some differences among economic sectors in the way they are impacted by oil price changes, although not so much significant. The results show that the bigger the company, the higher the probability of being significantly affected by oil price changes. Results suggest that lagged oil price positive shocks increase Portuguese companies’ returns, by opposition to the current oil price change. Findings highlight the key role played by aggregate demand-side oil price shocks over the financial economic activity, showing sector and individual companies’ differences, thus inducing the possibility of results being highly dependent over the economic context faced by the country under analysis, that firms are more sensitive to oil prices when the equity market is busiest and that oil price increases affect companies returns in a negative way, but price decreases cause more positive than negative effects over company returns.     

Non-linear causality between the stock and real estate markets of Western European countries: Evidence from rank tests

Using the non-parametric rank tests proposed by Breitung (2001), we set out in this study to determine whether any non-linear long-run equilibrium relationship exists between the stock and real estate markets of Western European countries. We go on to adopt the threshold error-correction model (TECM) to determine whether a similar relationship is discernible possibly non-linear functions of the log-price of these two markets. The findings clearly point to the existence of long-run unidirectional and bidirectional causality between the real estate market and the stock market in regions both above and below the threshold level. Finally, we find the existence of both wealth and credit price effects in the real estate markets and stock markets of Western European countries, which thereby offer financial institutions and individual investors in their construction of long-term investment portfolios within these two asset markets.     

Markets contagion during financial crisis: A regime-switching approach

Within a Markov regime-switching VAR framework, we investigate the contagion effects among the stock market, real estate market, credit default market, and energy market covering the most recent financial crisis period when markets experience regime shifts. The results demonstrate that the watershed of regimes occurs around the start of the subprime crisis in 2007, after which the “risky” regime dominates the evolution of market chaos. During the financial crisis, excluding their own shocks, stock market shock and oil price shock are the main driving forces behind the credit default market and stock market variations, respectively. The energy market also appears to be more responsive to the stock market movements than the shocks originating from housing and credit markets. However, the impacts from the credit default market on the real estate market are not significant as expected.     

Oil price risk in the Spanish stock market: An industry perspective

This study examines the sensitivity of the Spanish stock market at the industry level to movements in oil prices over the period 1993–2010, paying special attention to the presence of endogenously determined structural changes in the relationship between oil price changes and industry equity returns. The empirical results show that the degree of oil price exposure of Spanish industries is rather limited, although significant differences are found across industries. The oil price sensitivity is very weak in the 1990s, a period of fairly stable and low oil prices. Instead, the link between crude oil and stock prices seems to have increased during the 2000s, becoming primarily positive. This evidence highlights the key role played by aggregate demand-side oil price shocks associated with the global real economic activity in the link between oil price fluctuations and the Spanish stock market.