Do shale gas and oil productions move in convergence? An investigation using unit root tests with structural breaks

This paper investigates the long-run trends of shale gas and shale oil productions by applying univariate and panel Lagrange Multiplier (LM), GARCH-based, and PANICCA unit root tests to discover the mean-reverting behaviors. We employ monthly data from January 2007 to December 2016 of shale gas withdrawals and shale oil productions in the U.S. The empirical results both on specific state/oil well and panel data show that most structural breaks emerge around 2007–2011, during which shale energy was massively produced in the U.S. and the global financial crisis and energy shock occurred. Our results also indicate that most external shocks are transitory and the trends soon converge, and that cross-state/well factors have greater potential as temporary shocks than the state-specific/well-particular components. For robust analysis, we conduct additional LM tests of natural gas and crude oil productions for a comparison with the unconventional shale energy. The unit root test of Narayan and Popp (2010) on shale gas and shale oil productions help us to find more stationary evidence. Overall, we present powerful findings of the mean-reversion property and propose critical implications for authorities and market participants.     

美国大规模页岩气开发的若干问题

美国大规模页岩气开发取得了显著成效,能源安全得到有力保障,为经济复苏提供了坚实保障,增加了就业及政府收入,并有助于减少温室气体的排放。美国大规模开发页岩气,除源于能源供应紧张外,还有政府鼓励开发非常规能源以及页岩气开发技术日臻完善。水力压裂技术是页岩气开发的关键技术,但存在水资源被过度使用、地下水及环境被污染及人工诱发地震等潜在风险。美国页岩气持续稳定发展也面临气田产量衰减和公司盈利能力等问题。目前,为缓解天然气紧缺,欧洲也在考虑开发页岩气,但美国页岩油气爆发式发展的成功有许多是美国自身的因素,其他国家要照搬并不可取。     

中国利率期限结构中的宏观经济风险因素分析——基于宏观-金融模型的研究途径

本文应用宏观-金融模型对我国利率期限结构动态过程中的时变宏观经济风险价格进行定量估计,在此基础上,对利率期限结构的预期成分和风险溢价成分进行分解,并且模拟了宏观经济对利率期限结构的冲击效应。研究结果表明,我国利率期限结构中存在着显著的时变宏观经济风险价格;不同期限利率可以明显地分解出预期成分和风险溢价成分,风险溢价成分的变动具有阶段性特点;宏观经济冲击在短期内对利率期限结构的整体水平与坡度均有明显影响,在长期内则仅对整体水平的影响较为明显。因此,我国利率期限结构可以体现出宏观经济形势的变化,应该进一步提高利率期限结构在货币政策制定中的作用。     

Assessing the Degree of Spot Market Integration for U.S. Natural Gas: Evidence from Daily Price Data

This paper assesses the degree of market integration in the U.S. natural gas market following the FERC’s ‘open access’ reforms. Daily spot prices at 76 market locations from 1993 to 1997 are used to examine the geographic extent of the market and the speed with which market forces move prices toward equilibrium in the face of ongoing price shocks. The empirical results suggest that the East and Central regions form a highly integrated market, but that this market is quite segmented from the more loosely integrated Western market.     

Fuel inventory and price relationships in the U.S. electric power sector under regulatory and market change

Long-run relationships among coal inventories at U.S. electric power plants, corporate bond rates and coal, natural gas, and electricity prices are estimated over the period July 1976 to October 2014. Tests for constancy of the long-run relationships show periods of instability which coincide with major regulatory events in the electric power sector. Deregulation of the natural gas and electricity markets are likely sources of instability for the period mid-1994 to mid-2001. Additionally, inventory behavior may have had a smoothing effect over instability caused by natural gas prices during the recent U.S. shale boom. Policy makers should be aware that altering the regulatory environment can result in considerable fluctuations in how firms’ inventory decisions interact with input and output markets and opportunity costs in the long run.     

Energy prices and exchange rates of the U.S. dollar: Further evidence from linear and nonlinear causality analysis

The causality relationships between energy prices and exchange rates have been investigated in many existing studies. Previous investigations ignore the possible nonlinear behaviors which may be caused by asymmetry, persistence or structural breaks. To fill this gap, we apply both linear and nonlinear causality tests to examine the causal relationships between energy prices and exchange rates of the U.S. dollar. Our results show that in the period before recent financial crisis, unidirectional linear causality running from petroleum prices to exchange rates and unidirectional nonlinear causality running from exchange rates to natural gas prices are revealed. In the period after the financial crisis, the bidirectional nonlinear causality relationships between petroleum prices and exchange rates can be found and there are no causality between exchange rates and natural gas prices. Moreover, we examine the source of nonlinear behaviors of causality relationships. Our evidence indicates that both volatility spillover and regime shift contribute to nonlinear causality and the explanation power of the former one is much stronger.     

The Volatility of Real Exchange Rates: The Australian Case

This paper presents an empirical investigation into factors underlying the real U.S.-Australian dollar exchange rate. We find that the random walk model of the real exchange rate can be improved by various GARCH specifications. In particular, we find that the estimated risk premium from a GARCH-M model is not robust to model specification. When the model is extended to include the $US/Yen real exchange rate and an index of commodity prices the GARCH-in-mean term is no longer significant. The additional variables seem to account for the increased volatility of the real exchange rate in the post-1983 period. Somewhat surprisingly, we find that changes in the Australian term spread and US-Australian interest rate differential have little or no explanatory power for the real exchange rate.     

Technological and Institutional Interaction in the Shale Oil Revolution

A decade ago, peak oil was widely discussed. By early 2015, U.S. oil production reached 9.7 million barrels per day, a figure not seen since the nation’s previous peak production in 1971. The dramatic increase in U.S. production is commonly referred to as the shale oil revolution. It is often alleged that the shale oil revolution was the result of technological change, particularly horizontal drilling and fracking. Technological change contributed to the increase in production, but such change involved much more than horizontal drilling and fracking. Institutional changes also contributed to the shale oil revolution. Besides market changes, new mechanisms of financing exploration and production were facilitated by low interest rates and quantitative easing. The political and regulatory environments changed as well. We investigate the peculiar interaction of institutions and technology in the shale oil industry between 2010 and 2015.     

Do Energy Prices Affect U.S. Investor Sentiment?

The current literature has examined the effect of investor sentiment on energy prices, but no study ever has explored the validity of the reverse question. Therefore, this article explore whether energy prices (i.e., crude oil and natural gas prices) affect U.S. investor sentiment, using the methodology of quantile regression. The empirical results document that controlling for a number of U.S. macroeconomic and financial factors, there exists a statistically significant association between oil and natural gas prices and investor sentiment. However, only natural gas prices appear to retain their statistical significance over the majority of quantiles. These findings received robust support under alternative measures of the investor sentiment index.     

Information in stock prices: the case of the 2016 U.S. presidential election

On the day before the 2016 U.S. presidential election, the odds of Hillary Clinton winning the presidency, according to political prediction markets, were above 90%. Surprisingly, Donald Trump won the Electoral College handily. In this study, we examine how movements in specific stock prices foreshadowed the eventual outcome. Specifically, we conduct a series of standard event-study tests focused on pharmaceutical companies, which became a focal point during the presidential campaign. Results show that while stocks of pharmaceutical companies significantly underperformed the market prior to the election, prices substantially increased beginning three days before the election outcome. This increase is both statistically significant and economically meaningful and robust to various event-study methodologies. These results suggest that some sectors of the stock market seemed to anticipate the election outcome.     

Determinants of the premium in forward contracts

Whilst the benefits of forward contracting for goods and services have been extensively researched in terms of mitigating market power effects in spot markets, we analyse how the risk in spot price formation induces a counteracting premium in the contract prices. We consider and test a wide-ranging set of propositions, involving fundamental, behavioural, dynamic, market conduct and shock components, on a long data set from the most liquid of European electricity forward markets, the EEX. We show that part of what is conventionally regarded as the market price of risk in electricity is actually that of its underlying fuel commodity, gas; that market power has a double effect on prices, insofar as it increases spot prices and induces a forward premium; that oil price sentiment spills over and that the premium reacts to scarcity and the higher moments of spot price uncertainty. We observe that considerations of the scale and determinants of the forward premium are at least as important as the market power effects in spot market price formation when evaluating the efficiency of wholesale power trading.     

Financial amplification of foreign exchange risk premia

Theories of financial frictions in international capital markets suggest that financial intermediaries' balance sheet constraints amplify fundamental shocks. We present empirical evidence for such theories by decomposing the U.S. dollar risk premium into components associated with macroeconomic fundamentals, and a component associated with financial intermediary balance sheets. Relative to the benchmark model with only macroeconomic state variables, balance sheets amplify the U.S. dollar risk premium. We discuss applications to financial stability monitoring.     

Bad volatility is not always bad: evidence from the commodity markets

ABSTRACT

Using exchange-traded fund (ETF) options data, we examine the predictive power of variance risk premium on returns of four commodities: crude oil, natural gas, gold and silver. We also analyze the predictive power of upside and downside variance risk premiums using a decomposition model conditional on the direction of the underlying market movement. We find that both the undecomposed and decomposed variance risk premiums are able to predict commodity prices. The decomposed variance risk premiums, however, outperform the undecomposed premium. The importance of upside and downside variance risk premiums differs across markets, related to hedging demand. In energy markets, both upside and downside premiums have strong predictive power, while in precious metal markets, only the upside premium is predictive.     

Firm Market Performance and Volatility in a National Real Estate Sector

We present empirical evidence using daily data for stock prices for 17 real estate companies traded in the Sao Paulo, Brazil stock exchange, from August 26, 2006 to March 31, 2010. We use the U.S. house price bubble, financial crisis and risk measures to instrument for momentums and reversals in the domestic real estate sector. We find evidence of conditional premium persistence and conditional volatility persistence in the market. We find that the conditional risk-return relationship in the sector is consistent with the prospect theory of risk attitudes in this period. Certain companies seem to be operating on a perceived potential industry return above the target, while most others are below the target, and the whole sector is below target on average.     

Diverse beliefs and time variability of risk premia

Why do risk premia vary over time? We examine this problem theoretically and empirically by studying the effect of market belief on risk premia. Individual belief is taken as a fundamental primitive state variable. Market belief is observable; it is central to the empirical evaluation and we show how to measure it. Our asset pricing model is familiar from the noisy REE literature but we adapt it to an economy with diverse beliefs. We derive equilibrium asset prices and implied risk premium. Our approach permits a closed form solution of prices; hence we trace the exact effect of market belief on the time variability of asset prices and risk premia. We test empirically the theoretical conclusions. Our main result is that, above the effect of business cycles on risk premia, fluctuations in market belief have significant independent effect on the time variability of risk premia. We study the premia on long positions in Federal Funds Futures, 3- and 6-month Treasury Bills (T-Bills). The annual mean risk premium on holding such assets for 1?C12?months is about 40?C60 basis points and we find that, on average, the component of market belief in the risk premium exceeds 50% of the mean. Since time variability of market belief is large, this component frequently exceeds 50% of the mean premium. This component is larger the shorter is the holding period of an asset and it dominates the premium for very short holding returns of less than 2?months. As to the structure of the premium we show that when the market holds abnormally favorable belief about the future payoff of an asset the market views the long position as less risky hence the risk premium on that asset declines. More generally, periods of market optimism (i.e. ??bull?? markets) are shown to be periods when the market risk premium is low while in periods of pessimism (i.e. ??bear?? markets) the market??s risk premium is high. Fluctuations in risk premia are thus inversely related to the degree of market optimism about future prospects of asset payoffs. This effect is strong and economically very significant.     

Offshoring,Sourcing Substitution Bias,and the Measurement of Growth in U.S. Gross Domestic Product and Productivity

The decade before the financial crisis of 2008 was a time of large changes in sourcing patterns for manufactured goods, particularly after China's entry into the WTO in 2001. Sourcing substitution reduced the prices paid by wholesale level buyers of these goods, but these price reductions were mostly not captured in the U.S. import price indexes and the U.S. GDP deflator. To find plausible values for sourcing bias we first use data on changes in sourcing patterns over 1997–2007 to predict the effect of the reported price discount from the new emerging market suppliers. Next, we compare adjusted import price indexes for products used for household consumption with consumer price indexes. In the GDP deflator for apparel imports, sourcing bias is found to average 0.6 percent per year, and for durable goods it averages 1 percent per year. During the decade of rapidly changing sourcing patterns, a tenth of the reported speedup in multifactor productivity growth of the U.S. private business sector may have come from sourcing bias in the deflators for imports.     

Stock prices,inflation and inflation uncertainty in the U.S.: testing the long-run relationship considering Dow Jones sector indexes

We test for the long-run relationship between stock prices, inflation and its uncertainty for different U.S. sector stock indexes, over the period 2002M7–2015M10. For this purpose we use a cointegration analysis with one structural break to capture the crisis effect, and we assess the inflation uncertainty based on a time-varying unobserved component model. In line with recent empirical studies we discover that in the long run, the inflation and its uncertainty negatively impact the stock prices, opposed to the well-known Fisher effect. In addition we show that for several sector stock indexes the negative effect of inflation and its uncertainty vanishes after the crisis outburst. However, in the short run the results provide evidence in favour of a negative impact of uncertainty, while the inflation has no significant influence on stock prices, except for the consumption indexes. The consideration of business cycle effects confirms our findings, which proves that the results are robust, both for long- and short-run relationships.     

INFORMATION AND THE BEAUTY PREMIUM IN POLITICAL ELECTIONS

We use data on 800 candidates from the 2012 U.S. election cycle in U.S. and state congressional races to examine the degree to which beauty affects electoral outcomes. We find that a candidate that is one standard deviation more beautiful receives a 1.1 percentage point higher vote share and is 6.0 percentage points more likely to win the election. This beauty premium is larger in situations where voters are less likely to have more information about the candidate. The beauty premium is much smaller for U.S. congressional races than for state congressional races, and is also much smaller for incumbent candidates. In addition, we find a correlation that the beauty premium is lower when a candidate spends more money on the election. (JEL D72, J70)     

美国购油策略分析及对中国的启示

美国页岩油革命改变了美国原油贸易格局,使得美国进口原油品质趋于重质化,且地域来源趋于集中化。本文通过挖掘页岩油革命后美国原油进口策略转变的内在原因,提出美国国内页岩油需求与对加拿大原油进口之间存在互补效应,而与对欧佩克原油进口之间存在替代效应,并通过协整检验和格兰杰因果关系检验,分析了美国页岩油需求和对各国原油进口的互动关系。本文的研究结果对中国的页岩油战略和中美原油贸易关系均有重要的政策启示。     

Comovements among U.S. state housing prices: Evidence from fractional cointegration

This study investigates the relationship between U.S. state housing prices and overall U.S. housing prices as well as the relationship among state housing prices using fractional integration and cointegration techniques. The results based on parametric and semiparametric estimators reveal that some states contain unit roots though we fail to find cointegrating relations between U.S. states housing prices and the overall U.S. housing prices as well as among state housing prices. The results raise doubts regarding the long-run convergence in U.S. state housing prices and the presence of the ripple effect.