can costs of consumption adjustment explain asset pricing puzzles we investigate grossman and laroque s 1990 conjecture that costs of adjusting consumption can account in part for the empirical failure of the consumptionbased capital asset pricing model ccapm we incorporate small fixed costs of consumption adjustment into a ccapm with heterogeneous agents we find that undetectably small consumption adjustment costs can account for much of the discrepancy between the observed variance of nondurable aggregate consumption growth and the predictions of the ccapm and can partially reconcile nondurable consumption data with the observed equity premium we conclude that the ccapm s implications are nonrobust to extremely small adjustment costs the consumption based capital asset pricing models ccapms 1 of lucas 1978 breeden 1979 and grossman and shiller 1982 have difficulty matching the high volatility of equity returns and the high mean equity premium found in u s data first the variance of the ccapm asset pricing kernel is too low to generate plausible equity return volatility more precisely hansen and jagannathan 1991 and cochrane and hansen 1992 show that for any conjectured pricing kernel mean the variance of the kernel is too low to satisfy the hansen jagannathan bounds without implausibly high risk aversion or substantial habit formation 2 second the covariance between the ccapm asset pricing kernel and excess equity returns is too low to generate a plausible equity premium more precisely let us define ep as follows

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

trying to explain home bias in equities and consumption investors hold a substantially larger proportion of their wealth portfolios in domestic assets than standard portfolio theory would suggest a phenomenon called equity home bias in the absence of this bias investors would optimally diversify domestic output risk using foreign equities therefore consumption growth rates would tend to co move across countries even when output growth rates do not empirically however consumption growth rates tend to have a lower correlation across countries than do output growth rates a phenomenon i call consumption home bias in this paper i discuss these two biases and their potential relationship as suggested by the literature

child allowances and allocative decisions in romanian households in this paper it is tested whether increasing child allowances will affect the intra household allocation of consumption measured by child and adult goods holding total household resources constant the analysis is based on household survey data collected in romania where cash payments are made to families according to the number and age of children selectivity is controled for since there is the potential for self selection bias in terms of the level of child allowances received the findings suggest that holding total household resources constant child allowances increase demand for child goods and calories and reduce demand for adult goods

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

durable goods an explanation for their slow adjustment at the microeconomic level durable purchases are often discontinuous and relatively large this feature has the potential to explain why aggregate expenditure on durables responds only slowly relative to the frictionless permanent income model to wealth and other aggregate innovations in this paper i develop new results on the problem of dynamic aggregation of stochastically heterogeneous units which help to characterize the connection between microeconomic behavior and aggregate dynamics in the presence of nonconvex adjustment costs using these results and splitting postwar u s aggregate durable purchases into different subcategories and time periods i provide further support for the view that lumpy microeconomic purchases play an important role in explaining the time series behavior of aggregate expenditure on durable goods

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

asset returns with transactions costs and uninsured individual risk abstract we explore whether incorporating an explicit motive for holding liquid assets within an equilibrium asset pricing model helps explain the following features of asset returns and turnover in the post war u s economy i the low risk free real interest rate ii the large spread between returns on liquid assets and stocks and iii the greater transaction velocity of liquid assets relative to stocks we introduce a demand for liquid assets by adding uninsured individual risk together with differential costs of trading securities numerical simulations attempting to match the return data generate a ratio of liquid assets to income considerably below observed levels

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

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

full insurance in the presence of aggregate uncertainty this paper tests implications of full consumption insurance the object is to determine how much mileage can be obtained from a model with complete markets with such features as private information or liquidity constraints omitted the implication exploited is that individual consumption responds to aggregate risk but not to idiosyncratic risk the test involves regressing the change in household consumption onto the change in aggregate consumption and other right hand side variables such as the change in household income and change in employment status all variables other than the change in aggregate consumption are predicted to be insignificant in explaining the change in household consumption with observations on consumption and income for 10 695 households from the consumer expenditure survey the results are mixed the results for one specification exponential utility are mostly consistent with full consumption insurance the results for the other specification power utility are not

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

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

leverage time preference and the equity premium puzzle abstract we re examine the mehra and prescott 1985 model a combination of the time preference factor greater than one and reasonable leverage ratios in the equity market resolve the equity premium puzzle such parameter values can be consistent with finite expected utility and a positive risk free rate of interest rate the model performs better for the mp target values than for economically reasonable variations around those values

broad and narrow bracketing in gift certificate spending abstract we survey 1050 consumers who have just redeemed one or more open loop gift certificates to learn whether they view gift certificate income cash gifts and non gift income as substitutes we find that the majority 83 of recipients spend the certificates in the same way as cash the other respondents 17 bought an item they would not have bought otherwise but adjustments in their shopping pattern do not seem to result from constraints in redeeming the certificates 80 of all respondents in this group says they have used the certificate to buy an item they really love to have while inconsistent with standard microeconomic demand theory this behavior can be explained by narrow bracketing in spending gift certificates these consumers consider a limited choice set of nice personal items our data show that females are more likely to narrow bracket gift certificate income and that positive reciprocity towards the giver induces narrow bracketing in case the giver is a household member who suggests to buy a particular item using the certificate previous studies have found that both giving in kind gifts waldfogel 1993 as giving gift cards offenberg 2007 entail a welfare loss of 10 30 when compared to giving cash we find that the welfare effects of open loop gift certificates among users are limited the consumption of broad bracketing consumers is unaffected and narrow bracketing consumers seem to value the possibility to separate gift certificate income from other income sources

the risk free rate in heterogeneous agent incomplete insurance economies abstract why has the average real risk free interest rate been less than one percent the question is motivated by the failure of a class of calibrated representative agent economies to explain the average return to equity and risk free debt i construct an economy where agents experience uninsurable idiosyncratic endowment shocks and smooth consumption by holding a risk free asset i calibrate the economy and characterize equilibria computationally with a borrowing constraint of one year s income the resulting risk free rate is more than one percent below the rate in the comparable representative agent economy

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

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

the impact of food stamps on food expenditures rejection of the traditional model for food stamp recipients whose normal food purchases exceed their coupon allotment the traditional economic model predicts that the impact of food stamps on food spending will be the same as for an equal cash transfer the tobit analysis in this study indicates that for these recipients food stamps have a substantially greater impact on at home food expenditures than an equal amount of cash income these results reject the traditional model several possible explanations of this behavior are discussed

dietary effects of the food stamp program based on data from the 1979 80 survey of food consumption in low income households this paper estimates the effects of changes in cash income and the food stamp benefit on household nutrient availability while controlling for two potential sources of selection bias the major finding of the empirical analysis is that the estimated dietary effects of changes in food stamp benefits are considerably larger than those resulting from changes in cash income with estimates of the ratios of the mpc for the food stamp benefit to the cash income mpc ranging from three to seven across nutrients no significant evidence of selection bias was found and the estimated dietary effects of food stamp benefits from the selection bias models are similar to those from the basic model estimated by ordinary least squares regression

forecasting realized volatility of crude oil futures with equity market uncertainty this paper examines whether the equity market uncertainty emu index contains incremental information for forecasting the realized volatility of crude oil futures we use 5 min high frequency tran

hedging derivative securities and incomplete markets an e arbitrage approach given a european derivative security with an arbitrary payoff function and a corresponding set of underlying securities on which the derivative security is based we solve the optimal replication problem find a self financing dynamic portfolio strategy involving only the underlying securities that most closely approximates the payoff function at maturity by applying stochastic dynamic programming to the minimization of a mean squared error loss function under markov state dynamics we derive recursive expressions for the optimal replication strategy that are readily implemented in practice the approximation error or e of the optimal replication strategy is also given recursively and may be used to quantify the degree of market incompleteness to investigate the practical significance of these e arbitrage strategies we consider several numerical examples including path dependent options and options on assets with stochastic volatility and jumps

the effect of the food stamp program on nutrient intake i introduction one of the goals of the food stamp program as stated in the preamble of the law is to ensure that low income households have the opportunity to attain a nutritionally adequate diet previous economic studies evaluating the effects of food stamp income on nutrient intake have typically found a positive usually small correlation between the receipt of food stamps and nutrition two recent papers by devaney and moffitt 1991 and horton and campbell 1991 reach very positive conclusions concerning the effect of income in general papers from the nutrition literature generally find positive but weak and often insignificant effects of income on nutrition we employ information on two groups of low income people and find slightly different results for the two groups but very different results from many of the other studies for a sample of rural families taken from data from the rural income maintenance experiment we find almost no effect of food stamp income or evidence of selection bias 1 however for a sample of elderly people from the food stamp cashout project we find strong evidence that self selection into the food stamp program is highly correlated with attaining nutritional adequacy and that controlling for the self selection food stamp income and other income have a negative effect on nutrition we re examine the relationship between food stamp income and the nutrient intake of the poor and improve upon the existing literature in several important ways first it is possible that the positive correlation between the receipt of food stamps and nutrition is not a direct causal link but rather is the result of other factors affecting both for example in one of the samples examined in this paper only 50 percent of those eligible actually apply for and receive food stamps it could be the case that those who care more about nutrition are at the same time more likely to apply for and receive food stamps and more likely to maintain a nutritionally adequate diet these possible self selection problems can be disentangled from possible direct effects of food stamp income on nutrition using estimation procedures which correct for selection bias another issue which our research addresses is that the level of one nutrient may be correlated with the levels of other nutrients this may occur either because individuals who care about nutrition may be more likely to attain adequate levels of all nutrients or because combinations of nutrients occur naturally in foods we posit a multi equation model of the levels of nutrients and allow the disturbances in each equation to be correlated none of the previous studies considered this correlation finally we recognize the fact that above some level extra nutrients are superfluous if an individual has attained a nutritionally adequate diet then whether or not food stamp income allows him or her to consume more nutrients is irrelevant we are primarily interested in therefore whether or not an individual attains an adequate level of a nutrient rather than the absolute amount of a nutrient consumed in previous studies devaney and moffitt 1991 had addressed simultaneously the issues of selection bias and the superfluity of nutrients above some level the finding that food stamp income actually lowers nutrient intake ceteris paribus is a novel result for studies of the food stamp program but it would not be novel in the literature on nutrition in less developed countries pitt and rosenzweig 1985 behrman and deolalikar 1987 it is reasonable to believe that as income increases households employ relatively more money than time in household production this is silberberg s 1985 explanation for decreased efficiency in producing pure nutrients in other words as income increases people spend less time preparing meals and more money on foods which are easier to prepare if as is often the case foods which are more convenient to prepare are less nutritious than foods which require a lot of time to prepare then our result is not surprising

computing multi period information constrained optima this paper presents a detailed theoretical derivation and justification for methods used to compute solutions to a multi period including infinite period continuum agent unobservedeffort economy actual solutions are displayed illustrating cross sectional variability in consumption and labour effort in the population at a point in time and variability for a typical individual over time the optimal tradeoff between insurance and incentives is explored and the issue of excess variability is addressed by consideration of the analogue full information economy and various restricted contracting regimes

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

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

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

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

the food stamp program and food insufficiency food stamp participants have higher food insufficiency rates than eligible nonparticipants even after controlling for other factors given the food stamp program s prominent role in the alleviation of hunger this is a counterintuitive result we conjecture that these higher rates are due to adverse selection insofar as households more likely to be food insufficient are also more likely to receive food stamps we establish a theoretical framework to address this adverse selection using a simultaneous equation model with two probits we show that once one controls for this adverse selection food stamp recipients have the same probability of food insufficiency as nonrecipients copyright 2001 oxford university press

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

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

consumption commitments and habit formation we analyze the implications of household level adjustment costs for the dynamics of aggregate consumption we show that an economy in which agents have consumption commitments is approximately equivalent to a habit formation model in which the habit stock is a weighted average of past consumption if idiosyncratic risk is large relative to aggregate risk consumption commitments can thus explain the empirical regularity that consumption is excessively sensitive and excessively smooth findings that are typically attributed to habit formation unlike habit formation and other theories but consistent with empirical evidence the consumption commitments model also predicts that excess sensitivity and smoothness vanish for large shocks these results suggest that behavior previously attributed to habit formation may be better explained by adjustment costs we develop additional testable predictions to further distinguish the commitment and habit models and show that the two models have different welfare implications

valuing food store access policy implications for the food stamp program food stamp recipients may lack access to larger stores reducing the availability of nutritious food reliance on smaller stores may have undesirable impacts policy alternatives include limiting food stamp redemption to larger stores and subsidizing store development i estimate that limiting redemption to supermarkets and grocery stores or supermarkets alone results in losses ranging from 499 2 million to 1 05 billion or 1 17 billion to 2 44 billion respectively annual loss in food stamp recipient welfare nationwide the impact of improving access is also significant ranging from 333 6 million to 931 2 million

moral hazard imperfect risk sharing and the behavior of asset returns abstract this paper develops a model of endogenous idiosyncratic risk in a simple two period general equilibrium setting and examines its implications for the behavior of asset returns the model readily generates empirically plausible idiosyncratic risk in consumption and yields more realistic behavior of asset returns than comparable models with perfect insurance the most dramatic effects of imperfect risk sharing however are not on the spreads between asset returns but on their absolute levels overall the results suggest allowing for incomplete markets can contribute to a resolution of the equity premium puzzle

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

does it matter how we survey demand for food evidence from kenya and the philippines abstract this article examines the reliability of food quantity information collected from expenditure surveys and finds that measurement errors will very often be systematically correlated with income such that the response of food intakes to increases in income is seriously overstated this may be firstly because food quantities are not measured independently of income if total expenditures are the proxy used for income and secondly because food transfers in the form of guest and hired worker meals are under recorded these biases are illustrated using household surveys from kenya and the philippines

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

portfolio selection with consumption ratcheting abstract in this paper we study the portfolio selection problem of a finite lived agent who does not tolerate a decline in standard of living the preference can be regarded as exhibiting extreme form of habit formation and also related to loss aversion in the prospect theory we show that the agent s optimal portfolio exhibits a trend chasing behavior and the portfolio share of the risky asset fluctuates between 0 and the value of an unconstrained individual the fluctuations do not attenuate as time gets near the end of the planning horizon we also explore implications of the model for asset pricing and show that the model has a potential to match better the recent us data than traditional habit models we provide a complete solution to the problem by considering a transformed problem which is similar in its formal structure to an irreversible incremental investment problem and equivalent to an infinite series of optimal stopping problems

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

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

the effect of income and food programs on dietary quality a seemingly unrelated regression analysis with error components this article employs new food guide pyramid servings data to measure how food intake is affected by income and two food programs the analysis uses a maximum likelihood estimator that combines the seemingly unrelated regression and one way error component models to account for two types of intrahousehold correlations participation in the food stamp program is associated with higher intake of meats added sugars and total fats participation in the special supplemental nutrition program for women infants and children is associated with lower intake of added sugars

nutrient availability food costs and food stamps nutrient consumption patterns of low income households were analyzed using data from the special low income component of the 1977 78 nationwide food consumption survey a system of simultaneous equations for estimating food cost and diet component availability levels in home food supply was applied the derived reduced form showed that food stamp program participation had a positive impact on diet component availability levels impacts of other socioeconomic variables examined for diet component availability were generally larger than those for program participation and income diet component availability levels were relatively constant across households with different income and food stamp program bonus levels

optimal multiperiod contracts and the gain from enduring relationships under private information informational asymmetries can play a key role in explaining the existence and nature of multiperiod contracts in an illustrative risk sharing model even relatively short two period contracts can be mutually beneficial if there is private information though one period contracts suffice otherwise further contracts which are pareto optimal relative to the environment and the information structure are defined and partially characterized an example illustrates how otherwise inefficient intertemporal tie ins can be used optimally to mitigate incentive problems the obvious borrowing lending schemes are not private information pareto optimal in these period by period actions are not sufficiently constrained discounting affects the form of the optimal contract but none of these qualitative conclusions

partial identification methods for evaluating food assistance programs a case study of the causal impact of snap on food insecurity we illustrate how partial identification methods can be used to provide credible inferences on the causal impacts of food assistance programs focusing on the impact that the supplemental nutrition assistance program snap formerly known as the food stamp program has on food insecurity among households with children recent research applies these methods to address two key issues confounding identification missing counterfactuals and nonrandomly misclassified treatment status in this paper we illustrate and extend the recent literature by using data from the survey of income and program participation sipp to study the robustness of prior conclusions the sipp confers important advantages the detailed information about income and eligibility allows us to apply a modified discontinuity design to sharpen inferences and the panel nature allows us to reduce uncertainty about true participation status we find that snap reduces the prevalence of food insecurity in households with children by at least six percentage points

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

genetic variation in financial decision making individuals differ in how they construct their investment portfolios yet empirical models of portfolio risk typically account only for a small portion of the cross sectional variance this paper asks whether genetic variation can explain some of these individual differences following a major pension reform swedish adults had to form a portfolio from a large menu of funds we match data on these investment decisions with the swedish twin registry and find that approximately 25 of individual variation in portfolio risk is due to genetic variation we also find that these results extend to several other aspects of financial decision making

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

income and wealth heterogeneity in the macroeconomy how do movements in the distribution of income and wealth affect the macroeconomy we analyze this question using a calibrated version of the stochastic growth model with partially uninsurable idiosyncratic risk and movements in aggregate productivity our main finding is that in the stationary stochastic equilibrium the behavior of the macroeconomic aggregates can be almost perfectly described using only the mean of the wealth distribution this result is robust to substantial changes in both parameter values and model specification our benchmark model whose only difference from the representative agent framework is the existence of uninsurable idiosyncratic risk displays far less cross sectional dispersion and skewness in wealth than u s data however an extension that relies on a small amount of heterogeneity in thrift does succeed in replicating the key features of the wealth data furthermore this extension features aggregate time series that depart significantly from permanent income behavior

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

asset pricing puzzles and incomplete markets the representative agent theory of asset pricing is modified to incorporate heterogeneous agents and incomplete markets the model features two types of agents who differ up to a nontradable idiosyncratic component in their endowment processes numerical solutions indicate that individuals are able to diversify a substantial portion of their idiosyncratic income risk through riskless borrowing and lending alone restrictions on the variability of intertemporal marginal rates of substitution hansen and jagannathan 1991 are used to argue that incomplete markets as modeled here cannot account for the properties of asset returns that are anomalous from the perspective of representative agent theory a large literature in financial economics has investigated the extent to which variants of the lucas 1978 general equilibrium theory of asset pricing can account for the joint behavior of aggregate u s consumption and asset returns by and large this literature has concluded that a theory based upon frictionless arrow debreu markets and or a representative agent makes strongly counterfactual predictions regarding even the simple unconditional properties of this relationship mehra and prescott 1985 for instance show that the theory drastically underpredicts the average excess rate of return on u s stocks the so called equity premium puzzle weil 1989 points out as did mehra and prescott that the magnitude of the average risk free rate is far below that predicted by the theory this has been dubbed the risk free rate puzzle numerous authors including grossman melino and shiller 1987 and backus gregory and zin 1989 show that the theory cannot account for term premia inherent in the yield curve hodrick 1987 surveys a large literature which documents the theory s shortcomings in accounting for excess expected returns in foreign exchange markets the notion that the representative agent model cannot account for excess returns across a wide array of asset markets can be made more precise by using tools developed by hansen and jagannathan 1991 and shiller 1982

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

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

opening up pandora s box the effect of gender targeting and conditionality on household spending behavior in mexico s progresa program summary this paper evaluates the behavioral impact of conditionality and gender targeting on spending behavior in the progresa conditional cash transfer cct program from rural mexico results indicate that transfer income is not spent differently from general income suggesting that transfers exert only an income effect in addition women who have increased control over their extra cash are not significantly more likely to spend it in a family friendly way than they do household earned income both features entail significant costs to beneficiaries and program budgets our results indicate that further evidence is needed to confidently advocate for their inclusion in cash transfer ct programs

a simple test of consumption insurance are consumers effectively insured against idiosyncratic shocks to income or wealth either by formal institutions such as charities private insurance and government programs or by informal mechanisms such as gifts and loans from relatives friends and neighbors under full insurance consumption growth should be cross sectionally independent of idiosyncratic variables that are exogenous to consumers this proposition is tested by cross sectional regressions of consumption growth on a variety of exogenous variables full insurance is rejected for long illness and involuntary job loss but not for spells of unemployment loss of work due to strike and an involuntary move

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

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

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

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

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

asymmetric volatility spillovers between oil and stock markets evidence from china and the united states abstract the relationship between oil and stock markets is a hot topic but little research has focused on the time varying asymmetric volatility spillover in a quantitative manner in this study we use a new spillover directional measure and asymmetric spillover measures to investigate the dynamic asymmetric volatility spillover between oil and stock markets during the period of 2007 to 2016 using the intra day data of wti future prices the sp the results also show strong evidence of asymmetries in volatility shocks between the oil and stock markets due to bad volatility

equilibrium in securities markets with heterogeneous investors and unspanned income risk abstract in a finite time horizon incomplete market continuous time setting with dividends and investor incomes governed by arithmetic brownian motions we derive closed form solutions for the equilibrium risk free rate and stock price for an economy with finitely many heterogeneous cara investors and unspanned income risk in equilibrium the sharpe ratio is the same as in an otherwise identical complete market economy whereas the risk free rate is lower and consequently the stock price is higher the reduction in the risk free rate is highest when the more risk averse investors face the largest unspanned income risk

market frictions and consumption based asset pricing a fundamental equilibrium condition underlying most utility based asset pricing models is the equilibration of intertemporal marginal rates of substitution imrs previous empirical research however has found that the comovements of consumption and asset return data fail to satisfy the restrictions imposed by this equilibrium condition in this paper we examine whether market frictions can explain previous findings our results suggest that a combination of short sale borrowing solvency and trading cost frictions can drive a large enough wedge between imrs so that the apparent violations may not be inconsistent with market equilibrium

optimal consumption and investment strategies with a perishable and an indivisible durable consumption good abstract we study the consumption and investment choice of an agent in a continuous time economy with a riskless asset several risky financial assets and two consumption goods namely a perishable and a durable good with an uncertain price evolution assuming lognormal prices and a multiplicatively separable isoelastic utility function we provide an explicit merton type solution for the optimal strategies for the case where the durable and all other assets can be traded without transaction costs for the case where the durable good is indivisible in the sense that durable trades imply transaction costs proportional to the value of the current durable holdings we show analytically that the optimal durable trading policy is characterized by three constants z z as long as the ratio z of the total current wealth to the value of current durable holdings of the investor is in z z it is optimal not to trade the durable at the boundaries of this interval it is optimal to trade the durable to attain z z the model is used to examine the optimal substitution between perishable and durable consumption and the importance of the durable price uncertainty and the correlation between the price of the durable good and financial asset prices

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

saving and liquidity constraints this paper is concerned with the theory of saving when consumers are not permitted to borrow and with the ability of such a theory to account for some of the stylized facts of saving behavior the models presented in the paper seem to account for important aspects of reality that are not explained by traditional life cycle models copyright 1991 by the econometric society

index arbitrage with heterogeneous investors a smooth transition error correction analysis abstract the traditional index arbitrage model assumes a constant threshold mispricing between the futures and cash prices for all investors allowing for heterogeneity in investors transaction costs objectives and capital constraints we model the intraday mispricing of djia futures as a smooth transition autoregressive star process with the speed of adjustment toward equilibrium varying directly with the mispricing we show that the observed mean reversion in mispricing changes is induced by heterogeneous arbitrageurs instead of a statistical illusion infrequent trading of index portfolio stocks we further use a star error correction model to describe the nonlinear dynamics between the djia futures and index this model describes not only which market is more informationally efficient than the other but also the legging process the nonsimultaneous establishing of cash and futures positions

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

accounting for forward rates in markets for foreign currency absteract forward and spot exchange rates between major currencies imply large standard deviations of both predictable returns from currency speculation and of the equilibrium price measure the intertemporal marginal rate of substitution representative agent theory with time additive preferences cannot account for either of these properties we show that the theory does considerably better along these dimensions when the representative agent s preferences exhibit habit persistence but that the theory fails to reproduce some of the other properties of the data in particular the strong autocorrelation of forward premiums since the advent of flexible exchange rates in the early 1970s a large body of statistical work has established that forward rates for major currencies are not optimal predictors of future spot rates relevant evidence is reported in studies by baillie lippens and mcmahon 1983 bekaert 1991 bilson 1981 boothe and longworth 1984 cumby 1988 cumby and obstfeld 1984 fama 1984 gregory and mccurdy 1984 hansen and hodrick 1983 hodrick and srivastava 1984 and korajczyk and viallet 1990 a more complete list of references is provided by hodrick 1987 these papers indicate that returns from speculation in forward and spot currency markets are predictable and that the predictable components vary considerably over time a number of alternative explanations have been offered for the predictable variation in foreign currency market excess returns kaminsky 1988 korajczyk 1985 and krasker 1980 suggest that infrequent extreme events may make returns appear predictable in small samples the so called peso problem lewis 1989 argues that rational learning following infrequent changes in the process governing equilibrium prices can explain part of the ex post predictability of currency returns froot and frankel 1989 and froot and thaler 1990 examine the hypothesis that market forecasts of future spot

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 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

moving costs nondurable consumption and portfolio choice the substantial adjustment cost for housing affects nondurable consumption and portfolio allocations as well as the frequency of housing transactions a simple theoretical model roughly calibrated is used to assess the quantitative impact of adjustment costs on those decisions the impact on portfolios is found to be significant suggesting that housing wealth should be useful in empirical studies of portfolio choice the welfare loss from the transaction cost is also substantial the effect on nondurable consumption is small however so adjustment costs can explain only a small part of the equity premium puzzle

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

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

on efficient distribution with private information this paper is a study of the dynamics of the efficient distribution of consumption in an exchange economy with many consumers each of whom is subject to private idiosyncratic taste shocks we propose a recursive method for finding feasible allocations that are incentivecompatible and that are pareto optimal within this set the method is applied to several parametric examples we find that in an efficient allocation the degree of inequality continually increases with a diminishing fraction of the population receiving an increasing fraction of the resources we discuss the extent to which these allocations can be decentralized via market arrangements this paper is a study of the dynamics of the efficient distribution of consumption in an exchange economy with private information the economy we study has a constant endowment flow of a single non storable consumption good which is to be allocated each period among a large number of consumers each period these consumers experience unpredictable idiosyncratic privately observed taste shocks affecting their marginal utility of current consumption efficiency dictates that more resources be allocated to those consumers who in any given period have a high marginal utility of current consumption

the sensitivity of tests of the intertemporal allocation of consumption to near rational alternatives suppose a consumer sets consumption equal to income each period rather than following the optimal permanent income decision rule how much utility does he lose this paper finds that the answer is typically less than 10 cents 1 per quarter in environments specified by popular tests on aggregate data it includes calculations of the costs of excess sensitivity and excess smoothness to income and interest rate changes and the costs of ignoring information it concludes that the theory does not make predictions for aggregate tests that are robust to small costs such as information or transactions copyright 1989 by american economic association

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

who feels the calorie crunch and when the impact of school meals on cyclical food insecurity abstract monthly welfare programs such as the supplemental nutrition assistance program snap produce consistent cycles of expenditure and consumption among recipients food insecurity health status crime poor behavior and test scores track these cycles this paper leverages new data from the usda the foodaps survey to better understand these cycles in three ways first i find that expenditure and consumption cycles are correlated within households a fact not previously established second i study diet quality over the benefit month and find that it worsens potentially compounding the harmful consequences of cyclical food insecurity third i find that kids bear less of the burden of the consumption cycle than adults and that much of this difference may be driven by school meal programs this finding suggests large potential gains in child welfare from expanding summer meal programs