what has driven oil prices since 2000 a structural change perspective abstract this paper characterizes weekly international oil price fundamentals since 2000 by analyzing the transformation of the market mechanism based on structural change perspective using endogenously determined break tests that allow for changes in both level and trend we divide the price fluctuations in the international oil market after 2000 into three stages relatively calm market period january 07 2000 to march 12 2004 the bubble accumulation period march 19 2004 to june 06 2008 and the global economic crisis period june 13 2008 to september 11 2009 the results show the existence of structural breaks refutes the utility of investigation of the full sample period as a whole and in different structural periods the main drivers of oil price changes and their way of influence and degree are significantly distinct then we demonstrate the evolving process of market mechanism since 2000 through establishing comparative models we also quantitatively measure the roles of speculation and episodic events in oil price fluctuations

a simplified jump process for common stock returns the specification of a statistical distribution which accurately models the behavior of stock returns continues to be a salient issue in financial economics with the introduction of arithmetic and geometric brownian motion models much attention has recently focused on a poisson mixture of distributions as an appropriate specification of stock returns for example see 12 3 8 10 5 and 1 consistent with empirical evidence these models yield leptokurtic security return distributions and furthermore the specification has much economic intuition in particular one may always decompose the total change in stock price into normal and abnormal components the normal change may be due to variation in capitalization rates a temporary imbalance between supply and demand or the receipt of any other information which causes marginal price changes this component is modelled as a lognormal diffusion process the abnormal change is due to the receipt of any information which causes a more than marginal change in the price of the stock and is usually modeled as a poisson process

choose to lose health plan choices from a menu with dominated option we examine the health plan choices that 23 894 employees at a u s firm made from a large menu of options that differed only in financial cost sharing and premium these decisions provide a clear test of the predictions of the standard economic model of insurance choice in the absence of choice frictions because plans were priced so that nearly every plan with a lower deductible was financially dominated by an otherwise identical plan with a high deductible we document that the majority of employees chose dominated plans which resulted in excess spending equivalent to 24 of chosen plan premiums low income employees were significantly more likely to choose dominated plans and most employees did not switch into more financially efficient plans in the subsequent year we show that the choice of dominated plans cannot be rationalized by standard risk preference or any expectations about health risk testing alternative explanations with a series of hypothetical choice experiments we find that the popularity of dominated plans was not primarily driven by the size and complexity of the plan menu nor informed preferences for avoiding high deductibles but by employees lack of understanding of health insurance our findings challenge the standard practice of inferring risk preferences from insurance choices and raise doubts about the welfare benefits of health reforms that expand consumer choice

is the demand for crude oil inelastic for india evidence from structural var analysis abstract we examine the dynamics of crude oil demand crude oil price and economic growth over the period of 1997 2016 in case of india we derive the results from dns unit root test and it indicates that all variables are stationary in their first order difference further we apply narayan and popp 2010 two structure break test and find two break points one in january 2002 and another one in november 2011 in case of crude oil price finally the structural var analysis depicts that there exists a negative and significant relation between crude oil price dummy and crude oil demand over the period further the price elasticity shows that the percentage changes of crude oil demand response less as compare to the rise in crude oil price this clearly suggests that crude oil price is moderately inelastic this overall implies that global crude oil price fluctuation has not brought down india s crude oil import to a greater extent in order to erase the bulging oil import bill alternative strategies of producing methanol blended oil revival of sick oil well production and adoption of phase wise clean energy system could curb the import dependence of crude oil

stochastic convenience yield and the pricing of oil contingent claims this paper develops and empirically tests a two factor model for pricing financial and real assets contingent on the price of oil the factors are the spot price of oil and the instantaneous convenience yield the parameters of the model are estimated using weekly oil futures contract prices from january 1984 to november 1988 and the model s performance is assessed out of sample by valuing futures contracts over the period november 1988 to may 1989 finally the model is applied to determine the present values of one barrel of oil deliverable in one to ten years time

international evidence on crude oil price dynamics applications of arima garch models abstract we examine the usefulness of several arima garch models for modeling and forecasting the conditional mean and volatility of weekly crude oil spot prices in eleven international markets over the 1 2 1997 10 3 2009 period in particular we investigate the out of sample forecasting performance of four volatility models garch egarch and aparch and figarch over january 2009 to october 2009 forecasting results are somewhat mixed but in most cases the aparch model outperforms the others also conditional standard deviation captures the volatility in oil returns better than the traditional conditional variance finally shocks to conditional volatility dissipate at an exponential rate which is consistent with the covariance stationary garch models than the slow hyperbolic rate implied by the figarch alternative

why do defaults affect behavior experimental evidence from afghanistan we report on an experiment examining why default options impact behavior by randomly assigning employees to different varieties of a salary linked savings account we find that default enrollment increases participation by 40 percentage points an effect equivalent to providing a 50 matching incentive we then use a series of experimental interventions to differentiate between explanations for the default effect which we conclude is driven largely by present biased preferences and the cognitive cost of thinking through different savings scenarios default assignment also changes employees attitudes toward saving and makes them more likely to actively decide to save after the study concludes

manual wage differentials collective bargaining and multi locational firms an analysis using northern ireland nes data harris r 1994 manual wage differentials collective bargaining and multilocational firms an analysis using northern ireland nes data reg studies 28 483 493 a number of studies have appeared in the literature which consider the impact on the wage distribution of for example gender and ethnic differences of union membership or coverage by collective agreements of firm size of belonging to the private vis a vis public sector of being self employed as opposed to an employee another potentially important determinant of wages is whether the firm employing an individual is locally owned or whether it is part of a multiregional or multinational organization which operates branches in various locations this paper sets out to investigate the size of this locational wage differential across all sectors for a region of the uk using a bivariate sample selectivity model where the choice of firm type i e locally owned or externally owned and union coverage are endogenous the results confirm that

physical market determinants of the price of crude oil and the market premium abstract we analyze the determinants of the real price of crude oil by means of an equilibrium correction model over the last two decades where we focus on the aspects of the physical market that impact on the clearing price we find that two cointegrating relations affect the changes in prices one refers to opec s behavior attempting to control prices using its market power and quotas the other to the coverage rate of oecd expected future demand using inventory behaviors we derive a forecasting equation for the change in oil prices which we use to assess the speculative elements of the price increases of the period 2000 05 we show that worries alien to the physical markets were the causes of the increase in oil prices and we quantify their overall impact

on jumps in common stock prices and their impact on call option pricing the black scholes call option pricing model exhibits systematic empirical biases the merton call option pricing model which explicitly admits jumps in the underlying security return process may potentially eliminate these biases we provide statistical evidence consistent with the existence of lognormally distributed jumps in a majority of the daily returns of a sample of nyse listed common stocks however we find no operationally significant differences between the black scholes and merton model prices of the call options written on the sampled common stocks

geometric brownian motion and structural breaks in oil prices a quantitative analysis the purpose of this paper is to present a quantitative analyses of oil price s path we try to argue that despite its parsimony and simplicity geometric brownian motion can perform well as a proxy for the movement of oil prices and for a state variable to evaluate oil deposits we base our argument on evidences of very low speed of mean reverting or long half life since unit root tests only can reject its null hypothesis in a sample longer than 100 years on the other hand we reject the null hypothesis of unit root with two endogenous breaks showing that the usual rejection can be attributed to omitted structural breaks we conclude that the average half life of oil price between 4 and 8 years depending on the model chosen is long enough to allow a good approximation as a geometric brownian motion

peer effects in financial decision making abstract peer effects might play an important role in complex financial decisions because many consumers lack experience with them and the costs of thinking through such decisions can be very high we study peer effects in retirement savings life insurance purchase and two charitable giving programs in a military setting with plausibly exogenous assignment of individuals to social groups peers defined broadly as social groups which may include members of different ranks appear to play an important role in the charitable giving programs but not in the other outcomes we assess a number of potential reasons for the disparate findings and provide suggestive evidence that the observability of individuals choices is key

global economic activity and crude oil prices a cointegration analysis abstract this paper empirically investigates the cointegrating relationship between crude oil prices and global economic activity the kilian economic index is used as an indicator of global economic activity based on a supply demand framework and the cointegration theory we find that real futures prices of crude oil are cointegrated with the kilian economic index and a trade weighted us dollar index and crude oil prices are influenced significantly by fluctuations in the kilian economic index through both long run equilibrium conditions and short run impacts we also develop an empirically stable data coherent and single equation error correction model ecm which has sensible economic properties empirical results based on the ecm show that the adjustment implied by a permanent change in the kilian economic index is a relatively drawn out process

oil and the macroeconomy since world war ii all but one of the u s recessions since world war ii have been preceded typically with a lag of around three fourths of a year by a dramatic increase in the price of crude petroleum this does not mean that oil shocks caused these recessions evidence is presented however that even over the period 1948 72 this correlation is statistically significant and nonspurious supporting the proposition that oil shocks were a contributing factor in at least some of the u s recessions prior to 1972 by extension energy price increases may account for much of post opec macroeconomic performance

comparison friction experimental evidence from medicare drug plans consumers need information to compare alternatives for markets to function efficiently recognizing this public policies often pair competition with easy access to comparative information the implicit assumption is that comparison friction the wedge between the availability of comparative information and consumers use of it is inconsequential because information is readily available and consumers will access this information and make effective choices we examine the extent of comparison friction in the market for medicare part d prescription drug plans in the united states in a randomized field experiment an intervention group received a letter with personalized cost information that information was readily available for free and widely advertised however this additional step providing the information rather than having consumers actively access it had an impact plan switching was 28 percent in the intervention group versus 17 percent in the comparison group and the intervention caused an average decline in predicted consumer cost of about 100 per year among letter recipients roughly 5 percent of the cost in the comparison group our results suggest that comparison friction can be large even when the cost of acquiring information is small and may be relevant for a wide range of public policies that incorporate consumer choice

modelling energy spot prices empirical evidence from nymex this paper investigates the behaviour of spot prices in eight energy markets that trade futures contracts on nymex we consider two types of models a mean reverting model and a spike model with mean reversion that incorporates two different speeds of mean reversion one for the fast mean reverting behaviour of prices after a jump occurs and another for the slower mean reversion rate of the diffusive part of the model we also extend these models to incorporate time varying volatility in their specification modelled as a garch and an egarch process we compare the relative goodness of fit of the different modelling variations both in sample using monte carlo simulations as well as out of sample in a value at risk var setting our results indicate the presence of a leverage effect for wti heating oil and heating oil wti crack spread whereas for the remaining energy markets we find the presence of an inverse leverage effect also the addition of the egarch specification for the volatility process improves both the in sample fit as well as the out of sample var performance for most energy markets that we examine

short term variations and long term dynamics in commodity prices in this article we develop a two factor model of commodity prices that allows meanreversion in short term prices and uncertainty in the equilibrium level to which prices revert although these two factors are not directly observable they may be estimated from spot and futures prices intuitively movements in prices for long maturity futures contracts provide information about the equilibrium price level and differences between the prices for the short and long term contracts provide information about short term variations in prices we show that although this model does not explicitly consider changes in convenience yields over time this short term long term model is equivalent to the stochastic convenience yield model developed in gibson and schwartz 1990 we estimate the parameters of the model using prices for oil futures contracts and apply the model to some hypothetical oil linked assets to demonstrate its use and some of its advantages over the gibson schwartz model

threshold effect of the economic growth rate on the renewable energy development from a change in energy price evidence from oecd countries this paper uses a panel threshold regression ptr model to investigate the influence that energy prices have on renewable energy development under different economic growth rate regimes the empirical data are obtained from each of the oecd member countries over the period from 1997 to 2006 we show that there is one threshold in the regression relationship which is 4 13 of a one period lag in the annual gross domestic product gdp growth rate the consumer price index cpi in so far as it relates to variations in energy is significantly positively correlated with the contribution of renewables to energy supply in the regime with higher economic growth but there is no relationship in the regime with lower economic growth therefore countries characterized by high economic growth are able to respond to high energy prices with increases in renewable energy use while countries characterized by low economic growth countries tend to be unresponsive to energy price changes when they come to their level of renewable energy

oil price dynamics 2002 2006 abstract oil price dynamics during 2002 2006 have been characterized by high volatility high intensity jumps and strong upward drift and were concomitant with underlying fundamentals of oil markets and world economy namely pressure on oil prices resulting from rigid crude oil supply and expanding world demand for crude oil a change in the oil price process parameters would require a change in underlying fundamentals market expectations extracted from call and put option prices anticipated no change in underlying fundamentals in the short term markets expected oil prices to remain volatile and jumpy and with higher probabilities to rise rather than fall above the expected mean

price discontinuities in the market for rins abstract in the last few years a market has emerged for renewable identification numbers rins a unique 28 character alphanumeric code assigned to each domestically produced and imported gallon of renewable fuel as with many commodity markets the arrival of new information can lead to unexpectedly rapid changes or jumps in prices this suggests that rins prices may follow a more complex process than geometric brownian motion gbm we investigate the potential presence of jumps as well as time varying volatility in the spot price for rins our results demonstrate that allowing for jumps and time varying volatility provides statistically important improvements in the modeling of prices relative to gbm both jumps and time varying volatility can contribute to the fatness of the tails in the distribution of price returns which has implications for investments in capital projects linked to renewables

time changed levy processes and option pricing abstract the classic black scholes option pricing model assumes that returns follow brownian motion but return processes differ from this benchmark in at least three important ways first asset prices jump leading to non normal return innovations second return volatilities vary stochastically over time third returns and their volatilities are correlated often negatively for equities time changed levy processes can simultaneously address these three issues we show that our framework encompasses almost all of the models proposed in the option pricing literature and it is straightforward to select and test a particular option pricing model through the use of characteristic function technology

value at risk estimations of energy commodities via long memory asymmetry and fat tailed garch models abstract in this paper we evaluate the value at risk var and the expected shortfalls for some major crude oil and gas commodities for both short and long trading positions classical var estimations as well as riskmetrics and other extensions to cases considering for long range memory asymmetry and fat tail in energy markets volatility were conducted we computed the var for three arch garch type models including figarch fiaparch and hygarch these models were estimated in the presence of three alternative innovation s distributions normal student and skewed student our results show that considering for long range memory fat tails and asymmetry performs better in predicting a one day ahead var for both short and long trading positions moreover the fiaparch model outperforms the other models in the var s prediction these results present several potential implications for energy markets risk quantifications and hedging strategies

how much to save decision costs and retirement plan participation abstract deciding how much to save for retirement can be complicated drawing on a field experiment conducted with the department of defense we study whether such complexity depresses participation in an employer sponsored retirement saving plan we find that simplifying one dimension of the enrollment decision by highlighting a potential rate at which non participants might contribute increases participation in the plan similar communications that did not include a highlighted rate yield smaller effects the results highlight how reducing complexity on the intensive margin of a decision how much to contribute can affect extensive margin behavior whether to contribute at all in a setting of policy interest

forecasting the volatility of crude oil futures using har type models with structural breaks abstract we introduce sixteen har type volatility models with structural breaks and estimate their parameters by applying 5 min high frequency transaction data for wti crude oil futures we find significant structural breaks in the volatility of crude oil futures additionally the historical realized volatility continuous sample path variation negative realized semivariance signed jump signed semi jump and leverage components contain substantial and salient information for forecasting the volatility of crude oil futures then we use loss functions to assess the forecasting performance of these sixteen new models and finally rank these models using the promethee ii method our results indicate that different models exhibit different predictive power in forecasting the 1 day 1 week and 1 month volatility of crude oil futures of the new har type models the new har rsv model performs best at forecasting the 1 day and 1 month volatilities whereas the new har cj best forecasts the 1 week volatility

explaining credit default swap spreads by means of realized jumps and volatilities in the energy market abstract this paper studies the relationship between credit default swap cds spreads for the energy sector and oil futures dynamics using data on light sweet crude oil futures from 2004 to 2013 which contains a crisis period we examine the importance of volatility and jumps extracted from the futures in explaining cds spread changes the analysis is performed at an index level and by rating group as well as for the pre crisis crisis and post crisis periods our findings are consistent with merton s theoretical framework at an index level futures jumps are important when explaining cds spread changes with negative jumps having higher impact during the crisis the continuous volatility part is significant and positive indicating that futures volatility conveys relevant information for the cds market as for the analysis per rating group negative jumps have an increasing importance as the credit rating deteriorates and during the crisis period while the results for positive jumps and futures volatility are mixed overall the relation between the cds market and the futures market is stronger during volatile periods and strengthened after the global financial crisis

the fine structure of asset returns an empirical investigation we investigate the importance of diffusion and jumps in a new model for asset returns in contrast to standard models we allow for jump components displaying finite or infinite activity and variation empirical investigations of time series indicate that index dynamics are devoid of a diffusion component which may be present in the dynamics of individual stocks this leads to the conjecture confirmed on options data that the risk neutral process should be free of a diffusion component we conclude that the statistical and risk neutral processes for equity prices are pure jump processes of infinite activity and finite variation

small cues change savings choices we present evidence from randomized field experiments that 401 k savings choices are significantly affected by one to two sentence anchoring goal setting or savings threshold cues embedded in emails sent to employees about their 401 k plan even though these cues contain little to no marginal information cues that make high savings rates salient increased 401 k contribution rates by up to 2 9 of income in a pay period and cues that make low savings rates salient decreased 401 k contribution rates by up to 1 4 of income in a pay period cue effects persist between two months and a year after the email

on jump processes in the foreign exchange and stock markets exchange rates exhibit systematic discontinuities even after allowingfor conditional heteroskedasticity in the diffusion process the results are much more significant in theforeign exchange market than in the stock market which suggests differences in the structure of these markets finally this jump component is shown to explain some of the empirically observed mispricings in the currency options market the objective of this article is to analyze and compare the empirical distribution of returns in the stock market and in the foreign exchange market there are a number of reasons why a better understanding of the stochastic processes driving prices in these markets would be useful many financial models rely heavily on the assumption of a particular stochastic process while relatively little attention is paid to the empirical fit of the postulated distribution as a result models like option pricing models are applied indiscriminately to various markets such as the stock market and the foreign exchange market when the underlying processes may be fundamentally different the foreign exchange market for instance is characterized by active exchange rate man

retirement contribution rate nudges and plan participation evidence from a field experiment simple interventions like changing the default or sending a short message can induce individuals to save more for retirement however messages that emphasize high savings rates may increase the amount that savings plan participants save while reducing the total number of plan participants we study this possibility in the context of a field experiment designed to increase retirement savings by us military service members we find that service members who received a message emphasizing a low contribution rate were more likely to participate in a savings plan than were service members whose message emphasized a high contribution rate or no rate at all

jump spillovers in energy futures markets implications for diversification benefits abstract in this paper we investigate jump spillover effects of five energy petroleum futures and their implications for diversification benefits in order to identify the latent historical jumps for each of these energy futures we use a bayesian mcmc approach to estimate a jump diffusion model for each we examine the simultaneous jump intensities of pairs of energy futures and the probabilities that jumps in crude oil and natural gas cause jumps or usually large returns in other energy futures in all cases we find significant evidence that the diffusion jump process is a better characterization for energy futures prices we further find that jump spillovers significantly reduce the diversification benefits of an energy futures portfolio in a tranquil rather than crisis period

forecasting the good and bad uncertainties of crude oil prices using a har framework abstract good or bad uncertainty is the volatility that is associated with positive or negative innovations to asset prices this paper proposes new heterogeneous autoregressive type har type models to forecast the good and bad uncertainties of crude oil prices in this paper we investigate the effects of lagged bad and good uncertainties daily positive and negative signed jump variations and leverages on predicting good and bad uncertainties by in sample and out of sample analysis the in sample results show that bad and good uncertainties have long memory property and the predictability of long term good and bad uncertainties is stronger than that of short and mid term good and bad uncertainties the out of sample results indicate that lagged bad or good uncertainties daily positive signed jump variation and daily negative signed jump variation contain incremental out of sample information for forecasting good or bad uncertainties and in most cases lagged leverages also play indispensable roles in forecasting the good and bad uncertainties in the crude oil market moreover the results of out of sample analysis remain robust across using the other estimation window other har type models and the other sample

defaults and donations evidence from a field experiment we study the effects of defaults on charitable giving in a large scale field experiment on an online fundraising platform we exogenously vary default options along two choice dimensions the chari

choice inconsistencies among the elderly evidence from plan choice in the medicare part d program we evaluate the choices of elders across their insurance options under the medicare part d prescription drug plan using a unique data set of prescription drug claims matched to information on the characteristics of choice sets we document that elders place much more weight on plan premiums than on expected out of pocket costs value plan financial characteristics beyond any impacts on their own financial expenses or risk and place almost no value on variance reducing aspects of plans partial equilibrium welfare analysis implies that welfare would have been 27 higher if patients had all chosen rationally

jumps and stochastic volatility in oil prices time series evidence abstract in this paper we examine the empirical performance of affine jump diffusion models with stochastic volatility in a time series study of crude oil prices we compare four different models and estimate them using the markov chain monte carlo method the support for a stochastic volatility model including jumps in both prices and volatility is strong and the model clearly outperforms the others in terms of a superior fit to data our estimation method allows us to obtain a detailed study of oil prices during two periods of extreme market stress included in our sample the gulf war and the recent financial crisis we also address the economic significance of model choice in two option pricing applications the implied volatilities generated by the different estimated models are compared and we price a real option to develop an oil field our findings indicate that model choice can have a material effect on the option values

volatility persistence in crude oil markets financial market participants and policy makers can benefit from a better understanding of how shocks can affect volatility over time this study assesses the impact of structural changes and outliers on volatility persistence of three crude oil markets brent west texas intermediate wti and organization of petroleum exporting countries opec between january 2 1985 and june 17 2011 we identify outliers using a new semi parametric test based on conditional heteroscedasticity models these large shocks can be associated with particular event patterns such as the invasion of kuwait by iraq the operation desert storm the operation desert fox and the global financial crisis as well as opec announcements on production reduction or us announcements on crude inventories we show that outliers can bias i the estimates of the parameters of the equation governing volatility dynamics ii the regularity and non negativity conditions of garch type models garch igarch figarch and hygarch and iii the detection of structural breaks in volatility and thus the estimation of the persistence of the volatility therefore taking into account the outliers on the volatility modelling process may improve the understanding of volatility in crude oil markets

the effect of global oil price shocks on china s agricultural commodities abstract this paper studied the effect of global oil price shocks on agricultural commodities in china including strong wheat corn soybean bean pulp cotton and natural rubber we regarded oil price volatility process as a combination of continuous process and jump process we not only separated oil price shocks into positive and negative categories to identify different effects on agricultural commodities in continuous process but also investigated how jump behavior influenced these agricultural commodities we found that the oil price was characterized by volatility clustering and jump behavior at the same time oil price shocks had different effects on agricultural commodities in addition the shocks on most agricultural commodities were asymmetric only natural rubber was under influence of the jump intensity of the oil price in contrast to strong wheat corn soybean bean pulp and cotton

caviar based forecast for oil price risk abstract as a benchmark for measuring market risk value at risk var reduces the risk associated with any kind of asset to just a number amount in terms of a currency which can be well understood by regulators board members and other interested parties this paper employs a new var approach due to engle and manganelli engle r f manganelli s 2004 caviar conditional autoregressive value at risk by regression quantiles journal of business and economic statistics 22 367 381 to forecasting oil price risk in doing so we provide two original contributions by introducing a new exponentially weighted moving average caviar model and developing a mixed data regression model for multi period var prediction

implied volatility surface predictability the case of commodity markets abstract recent literature seek to forecast implied volatility derived from equity index foreign exchange and interest rate options using latent factor and parametric frameworks motivated by increased public attention borne out of the financialization of futures markets in the early 2000s we investigate if these extant models can uncover predictable patterns in the implied volatility surfaces of the most actively traded commodity options between 2006 and 2016 adopting a rolling out of sample forecasting framework that addresses the common multiple comparisons problem we establish that for energy and precious metals options explicitly modeling the term structure of implied volatility using the nelson siegel factors produces the most accurate forecasts

an information diffusion based model of oil futures price abstract inspired by the increasing evidence of financialization speculation in commodity pricing this paper constitutes a first attempt to build an information diffusion based asset pricing framework for the oil futures market with gradual information dissemination slowly decaying uncertainty about the asset s future fundamentals generates persistent conditional volatility and a drift in asset return volatility based proxies for information flows are proposed to examine empirically the asset pricing implications the results confirm a significant intertemporal relationship between return on the price of oil futures information diffusion and volatility components an important implication of our study is that the slow diffusion of information generates predictability in price dynamics a forecasting model is then constructed and tested in relation to our theory it is found that the lagged series of the pricing factors possess significant predicting power for returns