the incremental information content of investor fear gauge for volatility forecasting in the crude oil futures market abstract this paper aims to investigate whether investor fear gauge ifg contains incremental information content for forecasting the volatility of crude oil futures for this purpose we use oil volatility index ovx to measure the ifg adding the ifg to existing heterogeneous autoregressive har models we develop many har models with ifg subsequently we employ these har models to predict the volatility of crude oil futures the results from the parameter estimation and out of sample forecasting show that the in sample and out of sample performances of har models with ifg are significantly better than their corresponding har models without ifg the results are robust in different ways thus the har models with ifg are more beneficial to the decision making of all participants including financial traders manufacturers and policymakers in the crude oil futures market more importantly the results suggest that the investor fear gauge has a significant positive effect on volatility forecasting and can help improve the performances of almost all the existing har models

the american business cycle continuity and change in recent decades the american economy has experienced the worst peace time inflation in its history and the highest unemployment rate since the great depression these circumstances have prompted renewed interest in the concept of business cycles which joseph schumpeter suggested are like the beat of the heart of the essence of the organism that displays them in the american business cycle some of the most prominent macroeconomics in the united states focuses on the questions to what extent are business cycles propelled by external shocks how have post 1946 cycles differed from earlier cycles and what are the major factors that contribute to business cycles they extend their investigation in some areas as far back as 1875 to afford a deeper understanding of both economic history and the most recent economic fluctuations seven papers address specific aspects of economic activity consumption investment inventory change fiscal policy monetary behavior open economy and the labor market five papers focus on aggregate economic activity in a number of cases the papers present findings that challenge widely accepted models and assumptions in addition to its substantive findings the american business cycle includes an appendix containing both the first published history of the nber business cycle dating chronology and many previously unpublished historical data series

why does the cyclical behavior of real wages change over time the cyclical behavior of real wages has evolved from mildly countercyclical during the interwar period to modestly procyclical in the postwar era this paper presents a general equilibrium business cycle model that helps explain the evolution in the model changes in the real wage cyclicality arise from interactions between nominal wage and price rigidities and an evolving input output structure

identifying jumps in financial assets a comparison between nonparametric jump tests we perform a comprehensive monte carlo comparison between nine alternative procedures available in the literature to detect jumps in financial assets using high frequency data we evaluate size and power properties of the procedures under alternative sampling frequencies persistence in volatility jump size and intensity and degree of contamination with microstructure noise the overall best performance is shown by the andersen bollerslev and dobrev 2007 and lee and mykland 2008 intraday procedures abd lm provided the price process is not very volatile we propose two extensions to the existing battery of tests the first regards the finite sample improvements based on simulated critical values for the abd lm procedure the second regards a procedure that combines frequencies and tests able to reduce the number of spurious jumps finally we report an empirical analysis using real high frequency data on five stocks listed in the new york stock exchange

performance evaluation of optimized portfolio insurance strategies abstract we use s p 500 index return data for the time period 1985 2013 to evaluate the performance of portfolio insurance strategies we shed light on the question if the performance of a constant proportion portfolio insurance cppi strategy can be improved by means of a time varying multiplier which depends on the estimated future volatility neglecting any inter temporal hedging demand the theoretical foundation of the strategies is given by maximizing the expected utility of a hara investor in a diffusion model setup if the risk premium is assumed to be proportional to the variance the optimal strategy is a cppi strategy otherwise the multiple is time varying ppi it turns out that even time varying multiple strategies based on a rolling window of historical volatility estimates give a significant improvement of cppi strategies the out performance is robust w r t alternative performance measures and is also true for proportional transaction costs and adequate trigger trading

answering the skeptics yes standard volatility models do provide accurate forecasts a voluminous literature has emerged for modeling the temporal dependencies in financial market volatility using arch and stochastic volatility models while most of these studies have documented highly significant in sample parameter estimates and pronounced intertemporal volatility persistence traditional ex post forecast evaluation criteria suggest that the models provide seemingly poor volatility forecasts contrary to this contention we show that volatility models produce strikingly accurate interdaily forecasts for the latent volatility factor that would be of interest in most financial applications new methods for improved ex post interdaily volatility measurements based on high frequency intradaily data are also discussed

omega performance measure and portfolio insurance abstract we analyze the performance of the two main portfolio insurance methods the obpi and cppi strategies using downside risk measures for this purpose we introduce kappa performance measures and especially the omega measure these measures take account of the entire return distribution we show that the cppi method performs better than the obpi as a by product we determine the set of threshold values for these risk reward performance measures

adding risks samuelson s fallacy of large numbers revisited samuelson called accepting a sequence of independent positive mean bets that are individually unacceptable a fallacy of large numbers and subsequent researchers have extended samueison s condition on utility functions to assure that they would not allow this fallacy by contrast some behavioralists arguing the merits of diversification believe that it is simply wrong headed to refuse a long series of independent good bets out of a misguided faith in expected utility theory contrary to what one might infer from the literature this paper shows that accepting sequences of good bets is both consistent with expected utility theory and quite usual

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

recovering probability distributions from option prices this article derives underlying asset risk neutral probability distributions of european options on the s p 500 index nonparametric methods are used to choose probabilities that minimize an objective function subject to requiring that the probabilities are consistent with observed option and underlying asset prices alternative optimization specifications produce approximately the same implied distributions a new and fast optimization technique for estimating probability distributions based on maximizing the smoothness of the resulting distribution is proposed since the crash the risk neutral probability of a three four standard deviation decline in the index about 36 percent 46 percent over a year is about 10 100 times more likely than under the assumption of lognormality recently the increasing popularity of derivatives and some highly publicized failures to control risk have led to increased efforts to find reasonable methods to measure the sensitivity of large institutional derivatives portfolios to extreme events merely because such events are rare is not sufficient to ignore them since on the few occasions when they do occur significant amounts of money can change hands potentially wiping out profits accumulated over long prior periods a key assumption behind methods of estimation is the joint probability distribution of constituent underlying asset returns this has long been a concern of financial economists since probability assumptions are critical to much of their research during the last quarter century heretofore probability distributions of stock market returns have typically been estimated from historical time series unfortunately common hypotheses may not capture the probability of extreme events and the events of interest are rare or may not be present in the historical record even though they are clearly possible

roughing it up including jump components in the measurement modeling and forecasting of return volatility a rapidly growing literature has documented important improvements in financial return volatility measurement and forecasting via use of realized variation measures constructed from high frequency returns coupled with simple modeling procedures building on recent theoretical results in barndorff nielsen and shephard 2004a 2005 for related bi power variation measures the present paper provides a practical and robust framework for non parametrically measuring the jump component in asset return volatility in an application to the dm exchange rate the s p500 market index and the 30 year u s treasury bond yield we find that jumps are both highly prevalent and distinctly less persistent than the continuous sample path variation process moreover many jumps appear directly associated with specific macroeconomic news announcements separating jump from non jump movements in a simple but sophisticated volatility forecasting model we find that almost all of the predictability in daily weekly and monthly return volatilities comes from the non jump component our results thus set the stage for a number of interesting future econometric developments and important financial applications by separately modeling forecasting and pricing the continuous and jump components of the total return variation process

real wages over the business cycle evidence from panel data one topic on which keynes did not disagree with classical economists was the cyclical behavior of real wages keynes 1936 as well as various classical writers predicted that real wages should move countercyclically quoting the general theory p 17 in general an increase in employment can only occur through the accompaniment of a decline in real wages thus i am not disputing this vital fact which the classical economists have rightly asserted as indefeasible this prediction is based on the premise of competition and a given short run capital stock increases in employment then correspond to more intensive use of capital and through diminishing product lower real wages for this reason evidence by dunlop 1938 and tarshis 1939 that real wages move procyclically was viewed as paradoxical both dunlop and tarshis based their findings on an observed positive correlation between real and money wages which given the procyclical movement of money wages implies a positive correlation between

forecasting volatility of crude oil markets abstract this article investigates the efficacy of a volatility model for three crude oil markets brent dubai and west texas intermediate wti with regard to its ability to forecast and identify volatility stylized facts in particular volatility persistence or long memory in this context we assess persistence in the volatility of the three crude oil prices using conditional volatility models the cgarch and figarch models are better equipped to capture persistence than are the garch and igarch models the cgarch and figarch models also provide superior performance in out of sample volatility forecasts we conclude that the cgarch and figarch models are useful for modeling and forecasting persistence in the volatility of crude oil prices

optimal portfolio choice under loss aversion this paper analyzes the optimal investment strategy for loss averse investors assuming a complete market and general ito processes for the asset prices the loss averse investor follows a partial portfolio insurance strategy when the investor s planning horizon is short less than 5 years he or she considerably reduces the initial portfolio weight of stocks compared to an investor with smooth power utility the empirical section of the paper estimates the level of loss aversion implied by historical u s stock market data using a representative agent model we find that loss aversion and risk aversion cannot be disentangled empirically

nominal wage rigidity and the rate of inflation using the accurate and extensive data available in the uk new earnings survey this paper investigates the extent to which nominal wages are downwardly rigid and whether such rigidity interferes with necessary real wage adjustments when inflation is low despite the substantial numbers of individuals whose nominal wages fall from one year to the next we find that if long run inflation is one percent higher the number of individuals with negative real pay growth increases by around 1 4 percent this is controlling for the median and dispersion of the real wage change distribution

investment horizon and the attractiveness of investment strategies a behavioral approach we analyze the attractiveness of investment strategies over a variety of investment horizons from the viewpoint of an investor with preferences described by cumulative prospect theory cpt currently the most prominent descriptive theory for decision making under uncertainty a bootstrap technique is applied using historical return data of 1926 2008 to allow for variety in investors preferences we conduct several sensitivity analyses and further provide robustness checks for the results in addition we analyze the attractiveness of the investment strategies based on a set of experimentally elicited preference parameters our study reveals that strategy attractiveness substantially depends on the investment horizon while for almost every preference parameter combination a bond strategy is preferred for the short run stocks show an outperformance for longer horizons portfolio insurance turns out to be attractive for almost every investment horizon interestingly we find probability weighting to be a driving factor for insurance strategies attractiveness

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

forecasting the conditional volatility of oil spot and futures prices with structural breaks and long memory models this paper extends previous studies by investigating the relevance of structural breaks and long memory in modeling and forecasting the conditional volatility of oil spot and futures prices using a variety of garch type models our results can be summarized as follows first we provide evidence of parameter instability in five out of nine garch based conditional volatility processes for energy prices second long memory is effectively present in all the series considered and a figarch model seems to better fit the data but the degree of volatility persistence diminishes significantly after adjusting for structural breaks finally the out of sample analysis shows that volatility models accommodating instability and long memory characteristics of the data provide the best volatility forecasts for most cases

good bad cojumps and volatility forecasting new evidence from crude oil and the u s stock markets abstract in this article we investigate the impacts of jumps cojumps and their signed components on forecasting oil futures price volatility in the framework of the heterogeneous autoregressive realized volatility model our empirical results reveal several noteworthy findings first the effects of signed jumps and cojumps based on the daily and intraday jump tests on future volatility are asymmetric and the negative components are much more powerful in forecasting volatility moreover our proposed models including the signed jump and cojump components are able to generate higher forecasting accuracy and we find that disentangling the effects of positive and negative jumps and cojumps can significantly improve forecasts of future volatility lastly our findings are reliable for various robustness checks and our study provides some new insights into forecasting oil price realized volatility which are useful for researchers market participants and policymakers

option pricing with mean reversion and stochastic volatility many underlying assets of option contracts such as currencies commodities energy temperature and even some stocks exhibit both mean reversion and stochastic volatility this paper investigates the valuation of options when the underlying asset follows a mean reverting lognormal process with stochastic volatility a closed form solution is derived for european options by means of fourier transform the proposed model allows the option pricing formula to capture both the term structure of futures prices and the market implied volatility smile within a unified framework a bivariate trinomial lattice approach is introduced to value path dependent options with the proposed model numerical examples using european options american options and barrier options demonstrate the use of the model and the quality of the numerical scheme

a simple approximation for semivariance abstract semivariance can differentiate among skewed return distributions but variance is unable to do so thus semivariance has been used as a risk surrogate in portfolio analysis and capital budgeting problems unfortunately semivariance analysis is relatively unknown and poses difficult analytic and computational problems in this paper an expression is derived which very closely approximates semivariance this expression is simple in form and uses only familiar statistics namely mean variance critical value and cumulative probability below the critical value

retail banking and behavioral financial engineering the case of structured products abstract we apply cumulative prospect theory and hedonic framing to evaluate discount reverse convertibles drcs and reverse convertible bonds rcbs as important examples of structured products from a boundedly rational investor s point of view while common expected utility theory would also conclude that drcs and rcbs are of interest to investors with moderate return expectations and underestimated stock return volatility that theory would overestimate the market success of drcs and underestimate that of rcbs in comparison to a situation with bounded rationality hedonic framing and relatively low subjectively felt competence levels of investors are decisive for the demand for rcbs

keynesian controversies on wages in the general theory keynes advanced two hypotheses about movements in wages and urged their empirical investigation john dunlop lorie tarshis and henry richardson responded to this call with articles published in the economic journal in the late 1930s in turn keynes replied to their findings this exchange is described and the subsequent literature on the cyclical movement of real wages and the rigidity of money wages is outlined

initial labor market conditions and long term outcomes for economists each year graduate students entering the academic job market worry that they will suffer due to uncontrollable macroeconomic risk given the importance of general human capital and the relative ease of publicly observing productivity in academia one might expect that long term labor market outcomes for students graduating in unfavorable climates will resemble long term outcomes for those graduating in favorable climates in this paper i analyze the relationship between macroeconomic conditions at graduation initial job placement and long term outcomes for ph d economists from seven programs using macroeconomic conditions as an instrument for initial placement i show that a quality and type of initial job have a causal effect on long term job characteristics i also show that better initial placement increases research productivity which helps to limit the set of economic models that can explain the effect of initial placement on long term jobs

the relation between implied and realized volatility abstract previous research finds the volatility implied by s p 100 index option prices to be a biased and inefficient forecast of future volatility and to contain little or no incremental information beyond that in past realized volatility in contrast we find that implied volatility outperforms past volatility in forecasting future volatility and even subsumes the information content of past volatility in some of our specifications our results differ from previous studies because we use longer time series and nonoverlapping data a regime shift around the october 1987 crash explains why implied volatility is more biased in previous work

modeling special day effects for forecasting intraday electricity demand abstract we propose and apply a novel approach for modeling special day effects to predict electricity demand in korea notably we model special day effects on an hourly rather than a daily basis hourly specified predictor variables are implemented in the regression model with a seasonal autoregressive moving average sarma type error structure in order to efficiently reflect the special day effects the interaction terms between the hour of day effects and the hourly based special day effects are also included to capture the unique intraday patterns of special days more accurately the multiplicative sarma mechanism is employed in order to identify the double seasonal cycles namely the intraday effect and the intraweek effect the forecast results of the suggested model are evaluated by comparing them with those of various benchmark models for the following year the empirical results indicate that the suggested model outperforms the benchmark models for both special and non special day predictions

business cycles in international historical perspective business cycle models seek to answer the question of why economies go through cycles of recession and recovery or boom and bust any theory of the business cycle makes two sorts of claims what shocks are most important in disturbing the economy and what economic structure is necessary for propagating these shocks for example one common explanation of business cycles begins with monetary shocks and then seeks to explain why monetary shocks are not purely neutral as neoclassical theory would have it and instead have real effects at least in the short term early models in this vein were often implicitly or explicitly based on the proposition that markets do not clear continuously early equilibrium real business cycle theories instead emphasized the importance of real shocks especially to technology which may cause socially efficient fluctuations even when markets are always in equilibrium more recent models have attempted to marry the equilibrium approach to macroeconomics with the substantive keynesian ideas that money is not neutral and that economic fluctuations are costly new keynesian theories of the business cycle admit the possibility of a number of economic shocks including monetary and technology shocks but then focus on explaining how nominal price rigidities within the economy can turn these shocks into recessions or booms other models show that business cycles driven by keynesian animal spirits are consistent with rigorous microfoundations and rational expectations seeking empirical evidence for and against these various approaches we turn business cycle theories loose on perhaps the greatest macroeconomic laboratory

the effect of implicit contracts on the movement of wages over the business cycle evidence from micro data in this paper we address the question of whether wages are affected by labor market conditions in a manner more consistent with a contract approach than with a standard spot market model from a simple implicit contract model we derive implications about the links between wages and past labor market conditions using individual data from the current population survey and the panel study of income dynamics we find that an implicit contract model with costless mobility describes these links better than either a simple spot market model or an implicit contract model with costly mobility

volatility in crude oil futures a comparison of the predictive ability of garch and implied volatility models the wti future contract quoted at the nymex is the most actively traded instrument in the energy sector this paper compares the predictive ability of two approaches which can be used to forecast volatility garch type models where forecasts are obtained after estimating time series models and an implied volatility model where forecasts are obtained by inverting one of the models used to price options although the main scope of the research discussed here is to evaluate which model produces the best forecast of volatility for the wti future contract evaluated according to statistical and regression based criteria we also investigate whether volatility of the oil futures are affected by asymmetric effects whether parameters of the garch models are influenced by the distribution of the errors and whether allowing for a time varying long run mean in the volatility produces any improvement on the forecast obtained from garch models

estimating oil price value at risk using the historical simulation approach abstract in this paper we propose using value at risk var for oil price risk quantification var provides an estimation for the maximum oil price change associated with a likelihood level and can be used for designing risk management strategies we analyse three var calculation methods the historical simulation standard approach the historical simulation with arma forecasts hsaf approach developed in this paper and the variance covariance method based on autoregressive conditional heteroskedasticity models forecasts the results obtained indicate that hsaf methodology provides a flexible var quantification which fits the continuous oil price movements well and provides an efficient risk quantification

predicting volatility in the foreign exchange market measures of volatility implied in option prices are widely believed to be the best available volatility forecasts in this article we examine the information content and predictive power of implied standard deviations isds derived from chicago mercantile exchange options on foreign currency futures the article finds that statistical time series models even when given the advantage of ex post parameter estimates are outperformed by isds isds however also appear to be biased volatility forecasts using simulations to investigate the robustness of these results the article finds that measurement errors and statistical problems can substantially distort inferences even accounting for these however isds appear to be too variable relative to future volatility it is widely believed that the volatility implied in option prices is the market s best estimate of future volatility after all if it were not one could devise a trading strategy that could generate profits by identifying mispriced options the purpose of this article is to investigate the information content and predictive power of volatility implied in options on foreign currencies the paper focuses on options on currency futures traded on the chicago mercantile exchange cme because of the depth and liquidity of cme futures and options traded side by side in the same market implied standard deviations isds allow for clean tests of the predictive power of implied volatilities early studies of the information content of isds have generally found that these contain substantial information for future volatility latane and rendleman 1976 chiras and manaster 1978 and beckers 1981 for example regress future volatility on the weighted implied volatility across a broad sample of chicago board options exchange cboe stocks and find that options contain volatility forecasts that are more accurate than historical measures 1 these studies performed shortly after the 1973 beginning of the cboe option market could only use a relatively short time span and therefore focused on cross sections rather than time series predictions

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

a closed form garch option valuation model this paper develops a closed form option valuation formula for a spot asset whose variance follows a garch p q process that can be correlated with the returns of the spot asset it provides the first readily computed option formula for a random volatility model that can be estimated and implemented solely on the basis of observables the single lag version of this model contains heston s 1993 stochastic volatility model as a continuous time limit empirical analysis on s p500 index options shows that the out of sample valuation errors from the single lag version of the garch model are substantially lower than the ad hoc black scholes model of dumas fleming and whaley 1998 that uses a separate implied volatility for each option to fit to the smirk smile in implied volatilities the garch model remains superior even though the parameters of the garch model are held constant and volatility is filtered from the history of asset prices while the ad hoc black scholes model is updated every period the improvement is largely due to the ability of the garch model to simultaneously capture the correlation of volatility with spot returns and the path dependence in volatility article published by oxford university press on behalf of the society for financial studies in its journal the review of financial studies

are structured products fairly priced an analysis of the german market for equity linked instruments abstract based on a unique data set this paper examines the pricing of equity linked structured products in the german market the daily closing prices of a large variety of structured products are compared to theoretical values derived from the prices of options traded on the eurex european exchange for the majority of products the study reveals large implicit premiums charged by the issuing banks in the primary market a set of driving factors behind the issuers pricing policies is identified for example underlying and type of implicit derivative s for the secondary market the product life cycle is found to be an important pricing parameter

higher moment risk premiums for the crude oil market a downside and upside conditional decomposition abstract relying on options written on the uso an exchange traded fund tracking the daily price changes of the wti light sweet crude oil we extract variance and skew risk premiums in a model free way we further decompose these risk premiums into downside and upside conditional components and show that they can be partially explained by uso excess returns and more importantly these decomposed risk premiums enable a much better prediction of uso excess returns than the standard or undecomposed variance and skew risk premiums a comparison with existing results for the equity index option market further confirms the usefulness of the decomposition for the crude oil market

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

nominal wage stickiness and aggregate supply in the great depression building on earlier work by eichengreen and sachs we use data for 22 countries to study the role of wage stickiness in propagating the great depression recent research suggests that monetary shocks transmitted internationally by the gold standard were a major cause of the depression accordingly we use money supplies and other aggregate demand shifters as instruments to identify aggregate supply relationships we find that nominal wages adjusted quite slowly to falling prices and that the resulting increases in real wages depressed output these findings leave open the question of why wages were so inertial in the face of extreme labor market conditions

real wage cyclicality of job stayers within company job movers and between company job movers using the british new earnings survey panel data nespd for the period 1975 to 2001 we estimate the wage cyclicality of job stayers those remaining within single jobs in a given company within company job movers and between company job movers we also examine how the proportion of internal and external job moves varies over the business cycle we find that the wages of internal movers are slightly more procyclical and wages of external movers considerably more procyclical than those of stayers notwithstanding a decomposition shows that in britain wage cyclicality arises almost entirely from the procyclicality of wages for job stayers with across and within firm mobility playing a lesser role thus there is little evidence for rigid wage models that imply that employers use changes in job titles as a means of adjusting wages to the business cycle we also show that the distinctions between private and public sectors and between workers covered and uncovered by collective agreements have important impacts on the wage estimates of both stayers and movers

the cyclicality of real wages within employer employee matches using data from the panel study of income dynamics the author examines the cyclicality of wages within employer employee matches for the years 1970 91 recent research on wage cyclicality has suggested that wages are very procyclical tending to rise and fall with economic upturns and downturns even for workers who remain with the same employer the author finds however that the evidence for wage procyclicality within the matches he examines is rather weak except for the small group of workers who were paid by piece rate or commissions despite having acyclical wage rates men who were paid hourly had earnings movements that were very procyclical salaries exhibited little cyclicality but salaried workers who had income sources from bonuses commissions or overtime had procyclical earnings the results suggest that the increasing prevalence of incentive based pay will increase the procyclicality of wages within matches

forecasting realized volatility a bayesian model averaging approach summary how to measure and model volatility is an important issue in finance recent research uses high frequency intraday data to construct ex post measures of daily volatility this paper uses a bayesian modelaveraging approach to forecast realized volatility candidate models include autoregressive and heterogeneous autoregressive specifications based on the logarithm of realized volatility realized power variation realized bipower variation a jump and an asymmetric term applied to equity and exchange rate volatility over several forecast horizons bayesian model averaging provides very competitive density forecasts and modest improvements in point forecasts compared to benchmark models we discuss the reasons for this including the importance of using realized power variation as a predictor bayesian model averaging provides further improvements to density forecasts when we move away from linear models and average over specifications that allow for garch effects in the innovations to log volatility copyright 2009 john wiley sons ltd

forecasting the realized volatility of the oil futures market a regime switching approach considering nonlinear and highly persistent dynamics of realized volatility we introduce markov regime switching models to the heterogeneous autoregressive model of the realized volatility har rv models to forecast the realized volatility of the crude oil futures market in sample results demonstrate that the high volatility regime is short lived out of sample results suggest that har rv models with regime switching increase the forecasting ability significantly than those without regime switching moreover these findings are robust for different actual volatility benchmarks forecasting windows and model settings

the samuelson hypothesis in futures markets an analysis using intraday data this paper considers the samuelson hypothesis which argues that the futures price volatility increases as the futures contract approaches its expiration utilizing intraday data from 20 futures markets in six futures exchanges we find strong support for the samuelson hypothesis in agricultural futures however the samuelson hypothesis does not hold for other futures contracts we also provide supporting evidence that the negative covariance hypothesis is the key factor for the empirical support of the samuelson hypothesis in addition our findings remain largely unaltered even after we control for seasonality and liquidity effects

a utility and cpt based comparison of life insurance contracts with guarantees abstract some recent literature studies whether contracts including financial guarantees can be preferred by a utility maximizing investor the main result for contracts exposed solely to financial risk e g doskeland and nordahl 2008 dichtl and drobetz 2011 is that expected utility theory eut fails to interpret demand for guarantees while cumulative prospect theory cpt is able to support the demand while the development of the financial market has a significant impact on the portfolio choice some other non financial risk might play an important role too in the present paper we take life insurance products as an example where the long term nature of these contracts places a special emphasis on the uncertain lifetime of the investor we incorporate the mortality risk and investigate its effect on the attractiveness of contracts offering minimum interest rate guarantees to eut and cpt investors for this purpose we introduce two approaches for the consideration of multiple risk sources within cpt we illustrate the theoretical framework with numerous simulations and our numerical results show that a long term risk averse eut investor prefers products with guarantees

a markov switching model of the conditional volatility of crude oil futures prices abstract this paper examines the temporal behaviour of volatility of daily returns on crude oil futures using a generalised regime switching model that allows for abrupt changes in mean and variance garch dynamics basis driven time varying transition probabilities and conditional leptokurtosis this flexible model enables us to capture many complex features of conditional volatility within a relatively parsimonious set up we show that regime shifts are clearly present in the data and dominate garch effects within the high volatility state a negative basis is more likely to increase regime persistence than a positive basis a finding which is consistent with previous empirical research on the theory of storage e g fama and french 1988a fama and french 1988b and ng and pirrong 1994 the volatility regimes identified by our model correlate well with major events affecting supply and demand for oil out of sample tests indicate that the regime switching model performs noticeably better than non switching models regardless of evaluation criteria we conclude that regime switching models provide a useful framework for the financial historian interested in studying factors behind the evolution of volatility and to oil futures traders interested short term volatility forecasts

futures based forecasts how useful are they for oil price volatility forecasting oil price volatility forecasts have recently attracted the attention of many studies in the energy finance field the literature mainly concentrates its attention on the use of daily data using garch type models it is only recently that efforts to use more informative intraday data to forecast oil price realized volatility have been made despite all these previous efforts no study has examined the usefulness of futures based models for oil price realized volatility forecasting although the use of such models is extensive for oil price predictions this study fills this void and shows that futures based forecasts based on intra day data provide informative forecasts for horizons that span between 1 day and 66 days ahead more importantly these results hold true even during turbulent times for the oil market such as the global financial crisis of 2007 09 and the oil collapse period of 2014 15

news good or bad and its impact on volatility predictions over multiple horizons we examine whether the sign and magnitude of intra daily returns have impact on expected volatility the next day or over longer future horizons we first let the data speak namely with minimal interference we capture the mapping between intra daily returns and future volatility we revisit the concept of news impact curves introduced by engle and ng 1993 overall we find that moderately good intra daily news reduces volatility the next day while both very good news unusual high intra daily positive returns and bad news negative returns increase volatility with the latter having a more severe impact the asymmetries disappear over longer horizons we also introduce a new class of parametric models which feature asymmetries and with close ties to arch type models albeit applicable to a mixture of high and low frequency data models featuring asymmetries dominate especially during the 2007 2008 financial crisis

forecasting crude oil market volatility further evidence using garch class models abstract this paper extends the work of kang et al 2009 we use a greater number of linear and nonlinear generalized autoregressive conditional heteroskedasticity garch class models to capture the volatility features of two crude oil markets brent and west texas intermediate wti the one five and twenty day out of sample volatility forecasts of the garch class models are evaluated using the superior predictive ability test and with more loss functions unlike kang et al 2009 we find that no model can outperform all of the other models for either the brent or the wti market across different loss functions however in general the nonlinear garch class models which are capable of capturing long memory and or asymmetric volatility exhibit greater forecasting accuracy than the linear ones especially in volatility forecasting over longer time horizons such as five or twenty days

household portfolio diversification a case for rank dependent preferences the proliferation of novel preference theories in financial economics is hampered by a lack of non experimental evidence and by the theories additional complexity which has not been shown to be critical in applications in this article i present arguments in support of preferences with rank dependency using the survey of consumer finances data i document two widespread patterns inconsistent with expected utility i many households simultaneously invest in well deversified funds and in poorly diversified portfolios of stocks and ii some households with substantial savings do not invest anything in equities i show that portfolio choice models with rank dependent preferences plausibly parameterized and under fully rational assumptions are quantitatively consistent with the observed diversification these results call for further efforts to integrate the models of rank dependent preferences in portfolio theory and asset pricing the decision theoretic literature has long acknowledged the shortcomings of the expected utility theory of von neumann and morgenstern 1944 several generalizations of the theory are inspired by the experimental evidence and aimed at improving its descriptive accuracy however there are few applications of new models of preferences in finance and expected utility continues to dominate the field 1 two principal hurdles slow the proliferation of novel preferences in financial economics first the lack of empirical non experimental or field data confirming that the behavior motivating non expected utilities is widespread outside the laboratory settings second the additional and often significant complexity of the alternative preferences which has not been shown to be critical in applications where the models based on expected utility fall short of reasonable predictions this article presents empirical and theoretical this paper was previously circulated under the title household portfolio diversification the paper has benefited from the comments of shlomo benartzi luca benzoni markus brunnermeier john dickhaut maria perozek raj singh hersh shefrin and workshop participants at minnesota finance bag lunch 2003 wharton conference household financial decision making and portfolio choice and 2003 summer meetings of econometric society i would like to thank cam harvey the editor and an anonymous referee for many helpful comments and suggestions a special thanks to jack kareken for comments and editorial help on an earlier draft i am grateful to donna zerwitz for editorial assistance the views expressed herein are those of the author and not necessarily of the federal reserve bank of minneapolis or the federal reserve system all errors and omissions are the sole responsibility of the author address correspondence to valery polkovnichenko finance 3 122 csom 319 19 th

worker job matches job mobility and real wage cyclicality using the british new earnings survey panel data nespd this paper examines male and female real wage cyclicality over the period 1975 2001 estimation is undertaken separately for job stayers and job movers stayers are defined with respect to single jobs within the company while movers refers to individuals changing jobs both within and between companies core estimates concern real hourly standard wage rates additional features include differentiating between manual and non manual workers and distinguishing between hourly wage rates and hourly wage earnings

good volatility bad volatility signed jumps and the persistence of volatility abstract using estimators of the variation of positive and negative returns realized semivariances and high frequency data for the s p 500 index and 105 individual stocks this paper sheds new light on the predictability of equity price volatility we showthat future volatility is more strongly related to the volatility of past negative returns than to that of positive returns and that the impact of a price jump on volatility depends on the sign of the jump with negative positive jumps leading to higher lower future volatility we show that models exploiting these findings lead to significantly better out of sample forecast performance

theory of constant proportion portfolio insurance abstract we study constant proportion portfolio insurance cppi a dynamic strategy that maintains the portfolio s risk exposure a constant multiple of the excess of wealth over a floor up to a borrowing limit we use this simple rule to investigate how transaction costs and borrowing constraints affect portfolio insurance type strategies absent transaction costs cppi is equivalent to investing in perpetual american call options and is optimal for a piecewise hara utility function with a minimum consumption constraint as the multiple increases the payoffs under cppi approach those of a stop loss strategy the expected holding period return is not monotonic in the multiple and a higher expected return can be obtained under cppi than with a stop loss strategy

forecasting the volatility of crude oil futures using intraday data abstract we use the information in intraday data to forecast the volatility of crude oil at a horizon of 1 66 days using a variety of models relying on the decomposition of realized variance in its positive or negative semivariances part and its continuous or discontinuous part jumps we show the importance of these decompositions in predictive in sample regressions using a number of specifications nevertheless an important empirical finding comes from an out of sample analysis which unambiguously shows the limited interest of considering these components overall our results indicates that a simple autoregressive specification mimicking long memory and using past realized variances as predictors does not perform significantly worse than more sophisticated models which include the various components of realized variance

why are wages cyclical in the 1970 s this article investigates cyclicality in real wages between 1969 and 1982 using panel study of income dynamics data there is little evidence that movements in and out of the labor market induced aggregate wage cyclicality during these years however cyclicality in the movement of workers between heterogeneous labor market sectors affected aggregate wage cyclicality while sector location is important sector selectivity is not correlated with wages yet even within sectors cyclicality is present in real wages over this time period and is the result of cyclicality in overall wage levels as well as in the coefficients associated with particular worker characteristics

job selection and wages over the business cycle we consider a model with on the job search where current wages depend only on current aggregate labor market conditions and idiosyncratic match specic productivities we show theoretically that the model replicates the ndings in bils 1985 and beaudry and dinardo 1991 on the history dependence in wages we develop a method to measure match qualities in the data and show empirically that various variables summarizing past aggregate labor market conditions have explanatory power for current wages only because they are correlated with match qualities they lose any predictive power once match qualities are accounted for

the employment real wage relationship an international study the neoclassical and keynesian theories of employment both predict an inverse relationship between employment and real wages in the short run the observed correlation between employment and real wages however has usually failed to conform to this prediction dunlop 1938 and tarshis 1939 reported a positive correlation between real and money wages which given procyclical movement of money wages was interpreted as evidence against the theoretical prediction the statistical significance of these results was however challenged by ruggles 1940 and tobin 1948 more recent studies by kuh 1966 and bodkin 1969 failed to detect a significant relationship between real wages and employment these findings stimulated a series of contributions by solow and stiglitz 1968 barro and grossman 1971 1976 and others developing alternative models not apparently refuted by the evidence barro and grossman recast macro theory under the assumption that markets did not clear modigliani 1977 argued that the observed relationship between employment and real wages could be accounted for in an oligopolistic model of firm behavior thus both the competitive and equilibrium assumptions of the classical model were diagnosed as the sources of its apparent empirical refutation

performance pay and wage inequality an increasing fraction of jobs in the u s labor market explicitly pay workers for their performance using bonus pay commissions or piece rate contracts using data from the panel study of income dynamics we show that compensation in performance pay jobs is more closely tied to both observed and unobserved productive characteristics of workers than compensation in non performance pay jobs we also find that the return to these productive characteristics increased faster over time in performance pay than in non performance pay jobs we show that this finding is consistent with the view that underlying changes in returns to skill due for instance to technological change induce more firms to offer performance pay contracts and result in more wage inequality among workers who are paid for performance thus performance pay provides a channel through which underlying changes in returns to skill get translated into higher wage inequality we conclude that this channel accounts for 21 of the growth in the variance of male wages between the late 1970s and the early 1990s and for most of the increase in wage inequality above the eightieth percentile over the same period

on the volatility volume relationship in energy futures markets using intraday data this paper investigates the relationship between trading volume and price volatility in the crude oil and natural gas futures markets when using high frequency data by regressing various realized volatility measures with without jumps on trading volume and trading frequency our results feature a contemporaneous and largely positive relationship furthermore we test whether the volatility volume relationship is symmetric for energy futures by considering positive and negative realized semivariances we show that i an asymm etric volatility volume relationship indeed exists ii trading volume and trading frequency significantly affect negative and positive realized semivariance and iii the information content of negative realized semivariance is higher than for positive realized semivariance

correlated arch corrarch modelling the time varying conditional correlation between financial asset returns abstract although the time variation of the conditional correlations of asset returns is a well established stylized fact and of crucial importance for efficient financial decisions there is no explicit general model available for its estimation and forecasting in this paper we propose a bivariate garch covariance structure in which conditional variances can follow any garch type process while conditional correlation is generated by an explicit discrete time stochastic process the corrarch process a high order corrarch can parsimoniously be represented by a corgarch process the model successfully generates the reported stylized facts establishes an autocorrelation structure for correlations and thus provides an explicit framework for out of sample forecasting we provide empirical evidence from the g7 stock market indexes

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

commodity derivatives pricing with cointegration and stochastic covariances abstract empirically cointegration and stochastic covariances including stochastic volatilities are statistically significant for commodity prices and energy products to capture such market phenomena we develop a continuous time dynamics of cointegrated assets with a stochastic covariance matrix and derive the joint characteristic function of asset returns in closed form the proposed model offers an endogenous explanation for the stochastic mean reverting convenience yield the time series of spot and futures prices of wti crude oil and gasoline shows cointegration relationship under both physical and risk neutral measures the proposed model also allows us to fit the observed term structure of futures prices and calibrate the market implied cointegration relationship we apply it to value options on a single commodity and on multiple commodities

portfolio insurance and prospect theory investors popularity and optimal design of capital protected financial products abstract portfolio insurance strategies are used on both the institutional and the retail side of the asset management industry while standard utility theory struggles to provide an explanation this study justifies the popularity of portfolio insurance strategies in a behavioral finance context we run monte carlo simulations as well as historical simulations for popular portfolio insurance strategies and benchmark strategies in order to evaluate the outcomes using cumulative prospect theory our simulation results indicate that most portfolio insurance strategies are the preferred investment strategy for a prospect theory investor moreover the analysis provides insights into how portfolio insurance products should be designed and structured to meet the preferences of prospect theory investors as accurately as possible

beyond sharpe ratio optimal asset allocation using different performance ratios abstract as the assumption of normality in return distributions is relaxed classic sharpe ratio and its descendants become questionable tools for constructing optimal portfolios in order to overcome the problem asymmetrical parameter dependent performance ratios have been recently proposed in the literature the aim of this note is to develop an integrated decision aid system for asset allocation based on a toolkit of eleven performance ratios a multi period portfolio optimization up covering a fixed horizon is set up at first bootstrapping of asset return distributions is assessed to recover all ratios calculations at second optimal rebalanced weights are achieved at third optimal final wealth is simulated for each ratios eventually we make a robustness test on the best performance ratios empirical simulations confirm the weakness in forecasting of sharpe ratio whereas asymmetrical parameter dependent ratios such as the generalized rachev sortino satchell and farinelli tibiletti ratios show satisfactorily robustness

performance evaluation of portfolio insurance strategies using stochastic dominance criteria abstract this paper evaluates the performance of the stop loss synthetic put and constant proportion portfolio insurance techniques based on a block bootstrap simulation we consider not only traditional performance measures but also some recently developed measures that capture the non normality of the return distribution value at risk expected shortfall and the omega measure we compare them to the more comprehensive stochastic dominance criteria the impact of changing the rebalancing frequency and level of capital protection is examined we find that even though a buy and hold strategy generates higher average excess returns it does not stochastically dominate the portfolio insurance strategies nor vice versa our results indicate that a 100 floor value should be preferred to lower floor values and that daily rebalanced synthetic put and cppi strategies dominate their counterparts with less frequent rebalancing

real wages and the business cycle the objectives of this review are threefold 1 to characterize the empirical literature on the cyclical behavior of real wages 2 to identify the sources of the differences in results across studies and 3 to enumerate key factors that determine the cyclicality of real wages given a host of measurement and methodological issues drawing firm conclusions is difficult but several generalizations can be made the estimated cyclicality of real wages depends crucially on the time period of analysis and the choice of whether to examine the production or the consumption wage composition effects play an important but complicated role as well

modeling and forecasting the volatility of petroleum futures prices we investigate volatility models and their forecasting abilities for three types of petroleum futures contracts traded on the new york mercantile exchange west texas intermediate crude oil heating oil 2 and unleaded gasoline and suggest some stylized facts about the volatility of these futures markets particularly in regard to volatility persistence or long memory properties in this context we examine the persistence of market returns and volatility simultaneously using the following arfima garch class models arima garch arfima garch arfima igarch and arfima figarch although the arfima figarch model better captures long memory properties of returns and volatility the out of sample analysis indicates no unique model for all three types of petroleum futures contracts suggesting that investors should be careful when measuring and forecasting the volatility risk of petroleum futures markets

market risk in commodity markets a var approach we put forward value at risk models relevant for commodity traders who have long and short trading positions in commodity markets in a 5 year out of sample study on aluminium copper nickel brent crude oil and wti crude oil daily cash prices and cocoa nearby futures contracts we assess the performance of the riskmetrics skewed student aparch and skewed student arch models while the skewed student aparch model performs best in all cases the skewed student arch model delivers good results and its estimation does not require non linear optimization procedures as such this new model could be relatively easily integrated in a spreadsheet like environment and used by market practitioners

the effect of implicit contracts on the movement of wages over the business cycle evidence from the national longitudinal surveys a 1991 study by paul beaudry and john dinardo found evidence of internal labor markets that augment incumbent workers wages when the external labor market is tight when unemployment is low and shield their wages when it is slack current wages they found depend on the tightest labor market conditions observed since a worker was hired not current labor market tightness or labor market tightness at the time of hiring this paper replicates and extends that research using data from six cohorts of the national longitudinal surveys that together span more than three decades as well as an estimation framework more robust than that in the original study the author finds strong support for beaudry and dinardo s key prediction supplementary regressions confirm other implications of the theory as well recently at least the effect of implicit contracting on wages has been similar for men and women

forecasting oil price realized volatility using information channels from other asset classes motivated from ross 1989 who maintains that asset volatilities are synonymous to the information flow we claim that cross market volatility transmission effects are synonymous to cross market information flows or information channels from one market to another based on this assertion we assess whether cross market volatility flows contain important information that can improve the accuracy of oil price realized volatility forecasting we concentrate on realized volatilities derived from the intra day prices of the brent crude oil and four different asset classes stocks forex commodities and macro which represent the different information channels by which oil price volatility is impacted from we employ a har framework and estimate forecasts for 1 day to 66 days ahead our findings provide strong evidence that the use of the different information channels enhances the predictive accuracy of oil price realized volatility at all forecasting horizons numerous forecasting evaluation tests and alternative model specifications confirm the robustness of our results

variance vs downside risk is there really that much difference abstract the popularity of downside risk among investors is growing and mean return downside risk portfolio selection models seem to oppress the familiar mean variance approach the reason for the success of the former models is that they separate return fluctuations into downside risk and upside potential this is especially relevant for asymmetrical return distributions for which mean variance models punish the upside potential in the same fashion as the downside risk the paper focuses on the differences and similarities between using variance or a downside risk measure both from a theoretical and an empirical point of view we first discuss the theoretical properties of different downside risk measures and the corresponding mean downside risk models against common beliefs we show that from the large family of downside risk measures only a few possess better theoretical properties within a return risk framework than the variance on the empirical side we analyze the differences between some us asset allocation portfolios based on variances and downside risk measures among other things we find that the downside risk approach tends to produce on average slightly higher bond allocations than the mean variance approach furthermore we take a closer look at estimation risk viz the effect of sampling error in expected returns and risk measures on portfolio composition on the basis of simulation analyses we find that there are marked differences in the degree of estimation accuracy which calls for further research

a cross country comparison of the cyclicality of real wages this paper contains the first cross country comparison of the cyclical behaviour of real wages using microdata after controlling for changes in labour quality i find that real wages are strongly procyclical in canada the united kingdom and the united states in contrast the cyclicality of government published real aggregate hourly wages varies substantially across these three countries the disparity suggests that a direct comparison of the cyclical behaviour of real aggregate wages is misleading finally i show that variations in labour quality also bias the cross country correlation of several key labour market variables jel classification j3 e3 une comparaison transversale entre pays du caractere cyclique des salaires reels ce memoire presente la premiere comparaison entre pays du comportement cyclique des salaires reels a l aide de micro donnees apres normalisation pour tenir compte des changements dans la qualite du travail cette etude montre que les salaires reels sont pro cycliques au canada au royaume uni et aux etats unis au contraire le caractere cyclique des donnees sur les salaires horaires agreges varie substantiellement entre ces trois pays cette disparite suggere qu une comparaison directe du comportement cyclique des salaires reels agreges peut etre trompeuse finalement cette etude montre que les variations dans la qualite du travail biaisent aussi les correlations entre pays de plusieurs variables du marche du travail

how relevant is volatility forecasting for financial risk management it depends if volatility fluctuates in a forecastable way volatility forecasts are useful for risk management hence the interest in volatility forecastability in the risk management literature volatility forecastability however varies with horizon and different horizons are relevant in different applications moreover existing assessments of volatility forecastability are plagued by the fact that they are joint assessments of volatility forecastability and an assumed model and the results can vary not only with the horizon but also with the assumed model to address this problem we develop a model free procedure for assessing volatility forecastability across horizons perhaps surprisingly we find that volatility forecastability decays quickly with horizon volatility forecastability although clearly of relevance for risk management at the short horizons relevant for say trading desk management may be much less important at longer horizons

in search of a stylised fact do real wages exhibit a consistent pattern of cyclical variability the paper surveys the studies on the cyclical behaviour of real wages published from the twenties onwards the traditional simple neoclassical model of the labour market suggests that real wages tend to move countercyclically however from a theoretical viewpoint there are few reasons to expect this behaviour once the simple model is extended to account for imperfect competition uncertainty lagged responses or contracting between firms and workers empirical studies give different answers to the problem the contributions reviewed in the paper are arranged roughly in a chronological order the interwar period the postwar pre econometric studies the econometric work using aggregate data the evidence produced on the basis of longitudinal data the analyses of the shock responsiveness of real wages and finally the most recent papers attempting a reconciliation of the somewhat conflicting evidence derived from aggregate and panel data

forecasting petroleum futures markets volatility the role of regimes and market conditions in this paper we employ regime volatility models to describe time dependency in petroleum markets using a sample of nymex and ice futures contracts we establish the existence of a regime process and link this process to market fundamentals this formulation results in two distinct states a highly persistent conditional volatility process characterised by long memory and low sensitivity to market shocks and a relatively short lived nonstationary process with less memory but higher sensitivity to shocks moreover to investigate the relationship between disequilibrium and volatility of oil futures across high and low volatility regimes we use augmented regime garch models to address in a realistic way the potential diverse response of volatility to forward curve shocks the performance of these models is compared to benchmarks using both statistical tests and risk management loss functions to test the robustness of the forecasting strategies we also perform a reality check employing the stationary bootstrap approach the findings of this paper have important implications for decision making concerning trading and risk management as well as energy market operations such as refining and budget planning by providing valuable information on the oil price volatility dynamics and the ability to predict risk

loss aversion under prospect theory a parameter free measurement agrowing body of qualitative evidence shows that loss aversion a phenomenon formalized in prospect theory can explain a variety of field and experimental data quantifications of loss aversion are however hindered by the absence of a general preference based method to elicit the utility for gains and losses simultaneously this paper proposes such a method and uses it to measure loss aversion in an experimental study without making any parametric assumptions thus it is the first to obtain a parameter free elicitation of prospect theory s utility function on the whole domain our method also provides an efficient way to elicit utility midpoints which are important in axiomatizations of utility several definitions of loss aversion have been put forward in the literature according to most definitions we find strong evidence of loss aversion at both the aggregate and the individual level the degree of loss aversion varies with the definition used which underlines the need for a commonly accepted definition of loss aversion