On the Long Run Effects of Public Capital and Disaggregated Public Capital on Aggregate Output

We study the cointegration properties of data on aggregate output, five proxies for labor, two proxies for private capital, public capital, and disaggregated public capital for the United States for 1948–1993. We find evidence of multiple cointegrating vectors; we typically find three or four cointegrating vectors depending on which combination of proxies is evaluated. When public capital is disaggregated by type there is less evidence for cointegration. Finally, innovations in public capital have long lasting effects on output, labor, and private capital, and innovations to output, labor, and private capital also have long lasting effects on public capital.     

ARE COMMON STOCKS A HEDGE AGAINST INFLATION?

We test whether U.K. common stocks hedge against inflation using a framework of the tax‐augmented Fisher hypothesis. Aggregate and disaggregate (seven industry groups) monthly data covering 48 years are used. All pairs of stock and retail price indexes are cointegrated. Tests in most cases reveal significant shifts in the cointegrating vectors, and accounting for these shifts improves the precision of the estimates. The point estimates of goods price elasticity are significantly above unity in all but two cases. These findings, though in sharp contrast to most existing findings that report price elasticity of below unity, appear theoretically more plausible because nominal stock returns must exceed the inflation rate to insulate tax‐paying investors.     

What is going on in the oil market?

Conclusion In this article, we propose a consistent view on the recent oil-price history based on fundamental data and economic theory. We sum up: After the turn of the century three major stylized shocks have hit market. First, the demand curve has shifted fight outwards, mainly driven, as extensively reported in the media, by sustained growth in China and other Asian Countries. Second, supply disruptions in countries with low extraction costs (Iraq and Venezuela) have shifted the supply curve to the left. Third, we show that speculators adjust their inventories in order to take advantage of predictable price fluctuations and play themselves a major role in the price formation. Optimal storage theory implies that aggregate inventories are negatively related to the oil price and positively to the volatility of supply and demand shocks. We provide evidence that the political events in the last years have increased volatility and induced the inventory curve to shift right outwards. We analyze in a graphical framework the interaction of all these shocks and conclude that speculators have caused the oil price to overshoot in the short run its long-run fundamental value. However, this is not at all attributable to market failure or the harmfulness of speculators. In fact, the opposite is true. Speculators have in general a dampening effect on the oil price. The record oil price in the very recent history is partly a consequence of speculators maintaining or building-up inventories to cope with the supply and demand shocks to come. Hence, high prices represent a short-term toll for future price stability. It follows from our analysis that the oil price is expected to fall towards its long-term mean, provided that no further shocks hit the economy and, critically, the oil supply. As we saw, this prediction is consistent with the observed prices in the futures markets. Also in terms of future price volatility, the outlook is rather upbeat. The increased inventory levels held by speculators will cushion the spot market against fluctuations in natural supply and demand and limit the degree to which the currently high underlying volatility will translate into higher price volatility. We would like to thank Manuel Ammann, Bernd Brommundt, Stephan Kessler, Ralf Seiz, Michael Verhofen, Hemrich von Wyss, and two anonymous referees for helpful comments We are particularly indebted to Sergej Peisotchenko at United Energy System (UES) of Russia and Jan Gjerde at Shell for clearing us up on technical aspects of oil production     

Asymmetric Impact of Oil Price Shock on Stock Market in China: A Combination Analysis Based on SVAR Model and NARDL Model

This article integrates the SVAR model and nonlinear ARDL (NARDL) model to analyze the long-run and short-run asymmetric effect of structural oil price shocks on the Chinese stock market. We reveal that the demand-side shocks of oil price have a significant impact on the Chinese stock market in both short and long run, but the supply shock is an exception. In terms of asymmetric nature, there is no evidence of asymmetric impact when it refers to the supply shock and the oil-specific demand shock on stock market, and only the aggregate demand shock has asymmetric effect in short run.     

Relative Price Variability,Real Shocks,and the Stock Market

In this paper, we investigate the effects of relative price variability on output and the stock market and gauge the extent to which inflation proxies for relative price variability in stock return-inflation regressions. The evidence shows that the negative stock return-inflation relations proxy for the adverse effects of relative price variability on economic activity, particularly during the seventies, when the U.S. experienced oil supply shocks. Hence, it appears that inflation spuriously affects the stock market in two ways: the aggregate output link of Fama (1981) and the supply shocks reflected in relative price variability.     

Learning and price volatility in duopoly models of resource depletion

The combination of learning and depletion in non-renewable resource markets adds significant volatility to commodity prices. The market consists of a small number of suppliers who make depletion plans based on their perceptions of how sensitive price is to supply. Learning leads to changes in these perceptions and hence the revision of depletion plans, which can have a dramatic effect on market supply and price. Firstly, price trends upwards faster than the rate of time preference as the non-renewable resource approaches exhaustion. Secondly, there are frequent escape episodes in which price rises rapidly before gradually falling back. The striking volatility and nonstationarity in commodity prices that results has parallels in oil price data.     

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。     

中国原油价格的外生性检验

本文基于条件ECM模型,对中国原油价格与原油供给和需求以及影响供给和需求的国内生产总值和原油已探明储量的内生性或外生性进行检验。结果表明,原油价格具有弱外生性、强外生性的特点,已经成为中国经济体系的外生变量;中国原油价格脱离国内供求关系,没有完全反映中国自身原油资源稀缺程度。中国势必要推进原油定价机制的转型,为夺取定价权提供基础。     

International Stock Market Efficiency and Integration: A Study of Eighteen Nations

This study examines the relationships among stock prices in eighteen national stock markets by using unit root and cointegration tests for the period 1961--92. All the markets were analyzed individually and collectively in regions to test for market efficiency. The results from unit root tests suggest that the world equity markets are weak-form efficient. The cointegration test results show that there are only a small number of significant cointegrating vectors over the last three decades. However, the number of significant cointegrating vectors increases after the October 1987 stock market crash, a result that is consistent with the contagion effect.     

Asymmetric impacts of disaggregated oil price shocks on uncertainties and investor sentiment

This paper aims to examine short- and long-run asymmetries in the impacts of disaggregated oil price shocks on economic policy uncertainty, stock market uncertainty, treasury rates, and investor (bullish and bearish) sentiment in the US. To this end, we use a nonlinear auto-regressive distributed lag cointegration approach, which allows us to capture both positive and negative disaggregated oil shocks. We find that oil demand shocks are the main drivers of both measures of uncertainty, while oil supply shocks affect treasury rates. However, both oil demand shocks and oil supply shocks affect investor sentiment, with certain differences in the effects of positive and negative shocks. The overall effects of both oil demand and supply shocks—whether positive or negative—are stronger in the long-run than in the short-run. Additionally, we apply rolling causality and reveal evidence of a rather homogenous causal flow from disaggregated oil shocks to the variables studied, particularly around global stress periods. Our findings have implications for asset pricing and portfolio risk management and suggest policy formulations that differentiate between disaggregated positive and negative oil price shocks.

     

Oil price shocks and the US stock market: A nonlinear approach

We study the response of US stock market returns to oil price shocks and to what extent it behaves asymmetrically over the different phases of the business cycle. For this purpose, we decompose the oil price changes into supply and demand shocks in the oil market and assess the state-dependent dynamics of structural shocks on US stock returns using a smooth transition vector autoregression model. When nonlinearity is considered, quantitatively very different asymmetric dynamics are observed. Our findings show that the responses of US stock returns to disaggregated shocks are asymmetric over the business cycle and that the impact of demand-driven shocks on US stock returns is stronger and more persistent, especially when economic activity is depressed. Furthermore, the contribution of shocks to expectation-driven precautionary demand in recessions accounts for a larger share of the variability of US stock market returns than that predicted by standard linear vector autoregressions.     

The Role of Oil Price Shocks in Causing U.S. Recessions

Although oil price shocks have long been viewed as one of the leading candidates for explaining U.S. recessions, surprisingly little is known about the extent to which oil price shocks explain recessions. We provide a formal analysis of this question with special attention to the possible role of net oil price increases in amplifying the transmission of oil price shocks. We quantify the conditional effect of oil price shocks in the net oil price increase model for all episodes of net oil price increases since the mid‐1970s, analyze its determinants, and show that the linear model fits the data better.     

Does Bitcoin affect decomposed oil shocks differently? Evidence from a quantile-based framework

This paper studies the impact of Bitcoin on decomposed oil price shocks within a quantile-based framework, through which the underlying investment sheltering role of Bitcoin for various oil price fluctuations is explored. The aggregate oil price shock is decomposed into three perspectives of the demand, the supply, and the changing attitudes towards risk. A comparison of the sheltering role between Bitcoin and gold is further evaluated. By using a non-parametric causality test, we find that there exists an asymmetric and unidirectional causal relationship from Bitcoin/gold to oil shocks. Such the unidirectional causality appears only to the demand and supply shocks of oil instead of the risk-specific shocks, and is more evident at median quantiles. By jointly considering the data distribution of both dependent and independent variables realized by a quantiles-on-quantiles method, both Bitcoin and gold generally depict the hedge and safe haven abilities for oil shocks, and such the ability is shown to be different not only between Bitcoin and gold but also for various sources of oil shocks. The sheltering role of gold is found to be greater than that of Bitcoin for the supply shock, while the results reverse for the demand shock. Moreover, shocks from the identified shocks from the COVID-19 pandemic and the Russia–Ukraine conflict are found to not change the cross-market relationship. A series of robustness checks confirm our findings that possess important implications for various stakeholders.     

The non-linear response of US state-level tradable and non-tradable inflation to oil shocks: The role of oil-dependence

This paper investigates the effects of oil supply, oil-specific consumption demand, oil inventory demand shocks, and global economic activity shocks on state-level tradable and non-tradable inflation in the US. We use oil shock data following the work of Baumeister and Hamilton (2019) and estimate both linear and non-linear impulse responses using a lag-augmented local projections model in a panel context. Our results from a linear model show that both supply and demand-side oil shocks have a statistically significant impact on both types of inflation. While supply, global economic activity, and demand shocks have a greater impact on tradable inflation, non-tradable inflation responds more strongly to inventory shocks. Further, the non-linear model results provide evidence of heterogeneity in the magnitude and persistence of impact between high- and low-oil dependence regimes. Non-tradable inflation is more sensitive to nearly all components of oil price shocks in the high-oil dependence regime.     

Dollar exchange rate and stock price: evidence from multivariate cointegration and error correction model

In this paper, we investigate existence of long-run equilibrium relationships among the aggregate stock price, industrial production, real exchange rate, interest rate, and inflation in the United States. Applying Johansen's cointegration analysis to monthly data for the 1974:01-1998:12 period, we find that the S&P 500 stock price is positively related to the industrial production but negatively to the real exchange rate, interest rate, and inflation. Analysis of error correction mechanism reveals that the stock price, industrial production, and inflation adjust to correct disequilibrium among the five variables, while variance decompositions indicate that the stock price is driven to a considerable extent by innovations in the interest rate. Structural stability tests show that the parameters of the cointegrating system and the error correction term are stationary.     

2006年石油价格展望

本文对影响2006年石油价格的因素做了系统分析。认为2006年形成油价风险的主要动因已从需求的波动转向供给的波动;2006年油价将由于供求的脆弱平衡维持高位运行的格局,并且,由于供给链中潜在的危机,油价波动性将会非常大;但在全球经济增速下降、石油需求增长放缓、石油生产国家和公司仍然在努力满足市场需求、炼油瓶颈有望缓和的大背景下,油价在2006年按2005年可比价格计不会大幅上升,不会对全球经济产生重大负面影响。     

Symmetric and asymmetric nonlinear causalities between oil prices and the U.S. economic sectors

This study investigates the causal dynamics of the U.S. sector price changes and oil price changes using the symmetric nonlinear and asymmetric nonlinear causality tests. We find a unidirectional causality from each sector to the oil market using the Granger and MWald linear causality tests. However, the symmetric nonlinear and asymmetric nonlinear causality for negative price changes tests yield unidirectional causality from the oil to the sector price changes which sharply contrast the evidence using the linear models. We find bidirectional causality using the asymmetric nonlinear test for positive price changes, suggesting temporal, dual and nonlinear information flow during bull markets. Our results from the nonlinear and asymmetric causality tests remain robust after accounting for structural breaks. The empirical findings unravel nonlinear interactions between sector price and oil price changes as well as the importance of signs of changes in the interacting variables, implying oil returns may need to be priced when forecasting sector returns.     

Purchasing power parity in ASEAN-5 countries: revisit with cross-sectional dependence and structural breaks

This paper re-examines the purchasing power parity (PPP) hypothesis for a panel of ASEAN-5 countries. The panel unit root and cointegration tests, which incorporate cross-sectional dependence and multiple structural breaks, are innovatively used for testing the PPP hypothesis. We could not find evidence that supports the existence of a long-run equilibrium between the relative price ratio and the nominal exchange rate for the whole period. Nevertheless, there is evidence of a cointegrating relationship for the post-crisis period. Our finding implies that a flexible exchange rate regime is suitable for the individual ASEAN countries.     

Oil price shocks and their transmission mechanism in an oil-exporting economy: A VAR analysis informed by a DSGE model

This paper examines the macroeconomic effects of oil price shocks and the oil shock transmission mechanism in an oil-exporting country, Canada. We use a structural VAR with sign restrictions that comes from a two-country dynamic stochastic general equilibrium (DSGE) model to jointly identify oil price, domestic supply and U.S. and domestic monetary policy shocks. This identification strategy not only controls for reverse causality from the Canadian and U.S. macroeconomic conditions to the real oil prices, but more importantly, it also allows for contemporaneous interactions between the Canadian and U.S. variables. We find that oil shocks have a stimulative effect on Canadian aggregate demand, appreciate the Canadian dollar, improve the terms of trade and reduce real wages. Foreign disturbances, including innovations in oil prices and the U.S. interest rate, have a significant influence on Canadian economic activities. Our counterfactual analysis indicates that the reaction of the U.S. interest rate as an indirect transmission channel for oil price shocks plays a moderate role in explaining the real exchange rate and inflation, but has negligible impacts on the Canadian output and interest rate.     

Do the stock and CDS markets price credit risk equally in the long-run?

In this paper, we examine the existence and stability of the long-run equilibrium relation between the price of credit risk in the stock and CDS markets for a sample of non-financial iTraxx Europe companies during the 2004–2017 period. We show that standard cointegration tests with no breaks frequently fail to detect cointegration. Once we formally account for the breaks in the cointegrating vector, we are able to detect cointegration over the entire sample period for the vast majority of the companies considered. An application of these results to CDS-equity trading shows that the profitability of traditional trading strategies crucially depends on the presence of cointegration and on the stability of the cointegrating vector. Finally, we find that CDS illiquidity factors decrease the likelihood of the stock and CDS market cointegration.