Time‐varying market price of risk in the crude oil futures market

In this study, a three‐factor model of crude oil prices is estimated, which incorporates a time‐varying market price of risk. The model is able to accurately capture the term structure of futures prices with evidence suggesting that risk premiums in the crude oil market are time‐varying. Using the cross‐section of futures prices, we estimate a time‐series of the market price of risk in the crude oil market implied by the model. We find that the risk premiums in the crude oil market are driven by the same risk factors as equity and bond markets. © 2010 Wiley Periodicals, Inc. Jrl Fut Mark 31:779–807, 2011     

The impact of crude oil inventory announcements on prices: Evidence from derivatives markets

This study examines the impact of weekly crude oil storage announcements on oil futures and options prices. We document evidence of a strong announcement day effect on both markets, and find prices to move in anticipation of the inventory surprise. Futures returns significantly decrease with positive surprises and increase with negative surprises. There is no evidence of an asymmetric impact on futures prices. Near‐the‐money options exhibit the greatest price sensitivity, and the magnitude of the price response of both futures and options declines with maturity. The results remain robust even after controlling for various macroeconomic and other storage‐related news variables.     

Oil and the economy: evolution not revolution

Oil price shocks have had significant effects on the U.S. economy, keeping energy supply, energy policy, and energy security always in focus. The U.S. energy industry has become more efficient and productive, with increased output despite a smaller energy sector. Since the oil price shocks of the 70s, both the impact of oil price shocks and the way we think about them have changed. The impact of an oil price shock on GDP and core inflation is much smaller in magnitude than in the past and depends on the source of the price shock. The recent shale boom in the U.S. has significantly increased oil production to a record high. The short-cycle supply response of shale producers to price changes have trimmed the peaks and troughs of oil prices in the medium term. The shale boom has lowered our dependence on foreign oil and made us less vulnerable to a classic oil supply shock, but we need to contemplate the vulnerabilities that arise from the externalities of our energy use, which will become more critical as we go forward.     

The impact of oil price movements on bank non-performing loans: Global evidence from oil-exporting countries

It is generally believed that economic and financial performance in oil-rich countries are interlinked to oil price movements. On this assumption, we consider whether oil prices shocks have any impact on bank non-performing loans (NPLs), and if so, whether the effect is homogenous across banks. This paper addresses these questions by applying a dynamic GMM model on data from 2310 commercial banks in 30 oil-exporting countries over the period 2000–2014. Three main results emerge. First, changes in oil prices do have a significant impact on bank NPLs: A rise (fall) in oil prices is associated with a decrease (increase) in NPLs. Second, oil prices shocks have asymmetric effects on bank problem loans, with negative oil price movements generally have a greater impact than positive oil price movements. Third, the unfavourable impact of adverse oil prices shocks on the quality of bank loans tends to be more pronounced in large banks. Overall, these robust results favour the adaptation of appropriate macroprudential policies and diversification of the economy, in order to mitigate the adverse impact of oil prices shocks.     

Co-movement among oil,stock, bond,and housing markets: An analysis of U.S., Asian,and European economies

This study explores the co-movement among oil and the stock, bond, and housing markets of the U.S. and major developed countries across Europe and Asia. The results indicate that oil is long-run integrated with each asset class, and that the extent of convergence has increased after the onset of the 2007–2009 global financial crisis (GFC). Moreover, oil contributes most heavily toward the common trends, implying that oil is the “leader” sector that drives each asset class toward long-run equilibrium relationships. Short-run analyses indicate that oil shocks induce a negative response in stock and housing returns and a positive reaction in bond returns, showing a tendency to become more intense and persistent after the GFC. When oil shocks are disentangled, the results indicate that supply and demand have heterogeneous effects on the three global asset classes. Over the long-run, demand shocks make the most significant contribution to the common trends and “lead” the other asset classes, whereas supply shocks have either a negligible or a weaker impact. Over the short-run, demand shocks positively impact the stock and housing markets and negatively impact bonds, while supply shocks induce negative and weaker impacts on all three asset classes.     

On commodity price limits

This paper examines the behavior of futures prices and trader positions around the occurrence of price limits in commodity futures markets. We ask whether limit events are the result of shocks to fundamental volatility or the result of temporary volatility induced by the trading of noncommercial market participants (speculators). We find little evidence that limits events are the result of speculative activity, but instead associated with shocks to fundamentals that lead to persistent price changes. When futures trading halts price discovery migrates to options markets, but option prices provide a biased estimate of subsequent future prices when trading resumes.     

Volatility spillover effects and cross hedging in corn and crude oil futures

Using a volatility spillover model, we find evidence of significant spillovers from crude oil prices to corn cash and futures prices, and that these spillover effects are time‐varying. Results reveal that corn markets have become much more connected to crude oil markets after the introduction of the Energy Policy Act of 2005. Furthermore, when the ethanol–gasoline consumption ratio exceeds a critical level, crude oil prices transmit positive volatility spillovers into corn prices and movements in corn prices are more energy‐driven. Based on this strong volatility link between crude oil and corn prices, a new cross‐hedging strategy for managing corn price risk using oil futures is examined and its performance is studied. Results show that this cross‐hedging strategy provides only slightly better hedging performance compared with traditional hedging in corn futures markets alone. The implication is that hedging corn price risk in corn futures markets alone can still provide relatively satisfactory performance in the biofuel era. © 2010 Wiley Periodicals, Inc. Jrl Fut Mark     

Options on bond futures: Isolating the risk premium

The introduction of unspanned sources of risk (and frictions) implies that option prices include a risk premium. Prima facie evidence of the existence of risk premia in option prices is contained in the implied volatility smile patterns reported in the literature. This article isolates the risk premium (defined as the simple difference between estimated and observed option prices) on options on U.K. Gilts, German Bunds, and U.S. Treasury bond futures using models that include price jumps and stochastic volatility. This study finds that single and multi‐factor stochastic volatility models with jumps may explain the empirical regularities observed in bond futures. © 2003 Wiley Periodicals, Inc. Jrl Fut Mark 23:169–215, 2003     

An N‐factor Gaussian model of oil futures prices

This article studies the ability of an N‐factor Gaussian model to explain the stochastic behavior of oil futures prices when estimated with the use of all available price information, as opposed to traditional approaches of aggregating data for a set of maturities. A Kalman filter estimation procedure that allows for a time‐dependent number of daily observations is used to calibrate the model. When applied to all daily oil futures price transactions from 1992 to 2001, the model performs very well, requiring at least three factors to explain the term structure of futures prices, but four factors to fit the volatility term structure. The model also performs very well for daily copper futures transactions from 1992 to 2001 and for out‐of‐sample daily oil futures transactions from 2002 to 2004. © 2006 Wiley Periodicals, Inc. Jrl Fut Mark 26:243–268, 2006     

Forecasting oil price movements: Exploiting the information in the futures market

Relying on the cost of carry model, the long‐run relationship between spot and futures prices is investigated and the information implied in these cointegrating relationships is used to forecast out of sample oil spot and futures price movements. To forecast oil price movements, a vector error correction model (VECM) is employed, where the deviations from the long‐run relationships between spot and futures prices constitute the equilibrium error. To evaluate forecasting performance, the random walk model (RWM) is used as a benchmark. It was found that (a) in‐sample, the information in the futures market can explain a sizable portion of oil price movements; and (b) out‐of‐sample, the VECM outperforms the RWM in forecasting price movements of 1‐month futures contracts. © 2008 Wiley Periodicals, Inc. Jrl Fut Mark 28:34–56, 2008     

The Effects of Oil Price Shocks on Output

This analysis explores the effects of oil price shocks on U.S. economic growth. We begin with a well-known model developed by James Hamilton, consider refinements to his definition of an oil price “shock,” and then explore alternatives to his basic reduced-form model. We find that a structurally inspired error-correction model for non-farm business output, which allows for oil price changes to have both long-run and short-run effects, performs better than the basic reduced-form model and also shows significantly smaller adverse effects of rising oil prices. Our preferred model suggests that oil prices reduced GDP growth by about 0.4 percentage point on average through the first three quarters of 2008, before contributing 1.7 percentage points in the fourth quarter as prices plummeted.     

Regime switching in the reactions of stock markets in Saudi Arabia to oil price variations

The study revisits the stock–oil nexus by examining the reactions of equity markets to oil price shocks at national and sectoral levels for Saudi Arabia in a time‐varying framework by employing the Markov switching EGARCH model developed by Henry (2009, Journal of Banking and Finance, 33, 405). Based on weekly data, the findings reveal that the behaviour of all stock markets switches between an expansion regime and a recession regime, with more persistence for the expansion state. Additionally, influential international events associated with stock market drops are clearly identified in the recession regime. Furthermore, there is evidence of asymmetric reactions of the equity index returns and the probabilities of transition from one state to another to oil price variations, with heterogeneous impacts across sectors and regimes. The stock markets are more sensitive to oil price decreases than to oil price increases. Although the evidence of relatively slight differences in some findings across weekdays, the study allows investors and policymakers to understand well the interactions of stock sector markets vis‐à‐vis the world oil market in a regime‐switching framework, in order to make the right decision as regards portfolio diversification and regulation of the stock markets.     

Real-time price discovery in global stock, bond and foreign exchange markets

Using a unique high-frequency futures dataset, we characterize the response of U.S., German and British stock, bond and foreign exchange markets to real-time U.S. macroeconomic news. We find that news produces conditional mean jumps; hence high-frequency stock, bond and exchange rate dynamics are linked to fundamentals. Equity markets, moreover, react differently to news depending on the stage of the business cycle, which explains the low correlation between stock and bond returns when averaged over the cycle. Hence our results qualify earlier work suggesting that bond markets react most strongly to macroeconomic news; in particular, when conditioning on the state of the economy, the equity and foreign exchange markets appear equally responsive. Finally, we also document important contemporaneous links across all markets and countries, even after controlling for the effects of macroeconomic news.     

Real-time price discovery in global stock,bond and foreign exchange markets

Using a unique high-frequency futures dataset, we characterize the response of U.S., German and British stock, bond and foreign exchange markets to real-time U.S. macroeconomic news. We find that news produces conditional mean jumps; hence high-frequency stock, bond and exchange rate dynamics are linked to fundamentals. Equity markets, moreover, react differently to news depending on the stage of the business cycle, which explains the low correlation between stock and bond returns when averaged over the cycle. Hence our results qualify earlier work suggesting that bond markets react most strongly to macroeconomic news; in particular, when conditioning on the state of the economy, the equity and foreign exchange markets appear equally responsive. Finally, we also document important contemporaneous links across all markets and countries, even after controlling for the effects of macroeconomic news.     

A maximal affine stochastic volatility model of oil prices

This study develops and estimates a stochastic volatility model of commodity prices that nests many of the previous models in the literature. The model is an affine three‐factor model with one state variable driving the volatility and is maximal among all such models that are also identifiable. The model leads to quasi‐analytical formulas for futures and options prices. It allows for time‐varying correlation structures between the spot price and convenience yield, the spot price and its volatility, and the volatility and convenience yield. It allows for expected mean‐reversion in the short term and for an increasing expected long‐term price, and for time‐varying risk premia. Furthermore, the model allows for the situation in which options' prices depend on risk not fully spanned by futures prices. These properties are desirable and empirically important for modeling many commodities, especially crude oil. © 2009 Wiley Periodicals, Inc. Jrl Fut Mark 30:101–133, 2010     

The relationship between spot and futures prices: Evidence from the crude oil market

This article examines the relationship between the spot and futures prices of WTI crude oil using a sample of daily data. Linear causality testing reveals that futures prices lead spot prices, but nonlinear causality testing reveals a bidirectional effect. This result suggests that both spot and futures markets react simultaneously to new information. © 1999 John Wiley & Sons, Inc. Jrl Fut Mark 19: 175–193, 1999     

Forecasting futures returns in the presence of price limits

In a futures market with a daily price‐limit rule, trading occurs only at prices within limits determined by the previous day's settlement price. Price limits are set in dollars but can be expressed as return limits. When the daily return limit is triggered, the true equilibrium futures return (and price) is unobservable. In such a market, investors may suffer from information loss if the return “moves the limit.” Assuming normally distributed futures returns with unknown means but known volatilities, we develop a Bayesian forecasting model in the presence of return limits and provide some numerical predictions. Our innovation is the derivation of the predictive density for futures returns in the presence of return limits. © 2005 Wiley Periodicals, Inc. Jrl Fut Mark 25:199–210, 2005     

国际油价与人民币汇率传导效应研究

随着全球经济一体化进程加速,国际油价波幅加大,国际油价冲击对汇率的传导作用问题为国际社会所关注。通过实证研究证明国际油价冲击对人民币兑美元实际双边汇率存在传导效应,当国际油价上涨时,人民币实际汇率先贬值再升值。在国际油价波动日益剧烈的今天,人民币名义汇率保持稳定将有利于中国经济的发展。     

The macroeconomics outcome of oil shocks in the small Eurozone economies

In this work, we provide an analysis over the period 1999–2015 of the effects of oil shocks on prices and GDP in a group of small Euro-area economies. The group includes Austria, Belgium, Finland, Greece, Ireland, Italy, Netherlands, Portugal and Spain. In order to characterise the macroeconomic outcomes of movements in oil prices, we adopt the structural vector autoregression (VAR) methodology. We find that under the European Monetary Union (EMU), oil price shocks have been important drivers of business cycle fluctuations in almost all these countries. Moreover, an increase in oil prices produces significant recessionary effects in all the countries included in the investigation. Thus, although there are different sizes in the responses of output in the investigated countries, our main conclusion is that despite the structural changes experienced by the European economies in the last decades, oil prices still matter for these countries. In the light of these results, we also stress some important challenges for the conduct of monetary policy in the Euro area.     

A cointegrated commodity pricing model

We propose a commodity pricing model that extends the Gibson–Schwartz two‐factor model to incorporate the effect of linear relations among commodity spot prices, and provide a condition under which such linear relations represent cointegration. We derive futures and call option prices for the proposed model, and indicate that, unlike in Duan and Pliska (2004), the linear relations among commodity prices should affect commodity derivative prices, even when the volatilities of commodity returns are constant. Using crude oil and heating oil market data, we estimate the model and apply the results to the hedging of long‐term futures using short‐term ones.