model choice and value at risk performance broad agreement exists among both the investment banking and regulatory communities that the use of internal risk management models is an efficient means for calculating capital risk requirements the determination of model parameters laid down by the basle committee on banking supervision as necessary for estimating and evaluating the capital adequacies however has received little academic scrutiny we investigate a number of issues of statistical modeling in the context of determining market based capital risk requirements we highlight several potentially serious pitfalls in commonly applied methodologies and conclude that simple methods for calculating value at risk often provide superior performance to complex procedures our results thus have important implications for risk managers and market regulators

intergenerational economic mobility in the united states 1940 to 2000 we estimate trends in intergenerational economic mobility by matching men in the census to synthetic parents in the prior generation we find that mobility increased from 1950 to 1980 but has declined sharply since 1980 while our estimator places greater weight on location effects than the standard intergenerational coefficient the size of the bias appears to be small our preferred results suggest that earnings are regressing to the mean more slowly now than at any time since world war ii causing economic differences between families to become more persistent however current rates of positional mobility appear historically normal

value at risk estimation with the optimal dynamic biofuel portfolio abstract in the past petroleum companies only paid attention to hedging the variation in the crude oil price and volatility however they have now expanded their analysis to encompass renewable sources such as corn and soybeans under the current low carbon biofuel obligations this paper employs garch 1 1 and arji models to estimate the one day ahead value at risk var of the optimal dynamic biofuel portfolio which consists of crude oil corn and soybeans the optimal blended standard is subject to the dual limitations of minimum production costs and the lowest biofuel using requirements our empirical findings confirm that the arji model is more suitable than the garch 1 1 model and further captures the discontinuous jump behavior from the in the sample data the results of out of sample forecasts also are represented that our models play important roles in var estimation and risk management for biofuel portfolio we therefore suggest that the petroleum companies should simultaneously pay attention to jump risk in hedging material costs in the prices of energy related crops

oil prices brownian motion or mean reversion a study using a one year ahead density forecast criterion abstract for oil related investment appraisal an accurate description of the evolving uncertainty in the oil price is essential for example when using real option theory to value an investment a density function for the future price of oil is central to the option valuation the literature on oil pricing offers two views the arbitrage pricing theory literature for oil suggests geometric brownian motion and mean reversion models empirically driven literature suggests arma garch models in addition to reflecting the volatility of the market the density function of future prices should also incorporate the uncertainty due to price jumps a common occurrence in the oil market in this study the accuracy of density forecasts for up to a year ahead is the major criterion for a comparison of a range of models of oil price behaviour both those proposed in the literature and following from data analysis the kullbach leibler information criterion is used to measure the accuracy of density forecasts using two crude oil price series brent and west texas intermediate wti representing the us market we demonstrate that accurate density forecasts are achievable for up to nearly two years ahead using a mixture of two gaussians innovation processes with garch and no mean reversion

evaluating interval forecasts a complete theory for evaluating interval forecasts has not been worked out to date most of the literature implicitly assumes homoskedastic errors even when this is clearly violated and proceed by merely testing for correct unconditional coverage consequently i set out to build a consistent framework for conditional interval forecast evaluation which is crucial when higher order moment dynamics are present the new methodology is demonstrated in an application to the exchange rate forecasting procedures advocated in risk management

a theory of real wage growth in ldcs abstract a general equilibrium framework is presented to explain a variety of developmental experiences the demand side is modelled by assuming a system of preferences that incorporate engel s law in a stark way the framework explains why poverty might be impervious to industrial progress in some countries it also explains why countries which have been able to boost the exports of manufactured goods have been more successful in raising real wages in their economies than countries which have continued to export primary goods the framework indicates how the initial conditions in terms of the level and distribution of wealth influence the growth of real wages in an economy

understanding the mechanisms through which an influential early childhood program boosted adult outcomes a growing literature establishes that high quality early childhood interventions targeted toward disadvantaged children have substantial impacts on later life outcomes little is known about the mechanisms producing these impacts this paper uses longitudinal data on cognitive and personality traits from an experimental evaluation of the influential perry preschool program to analyze the channels through which the program boosted both male and female participant outcomes experimentally induced changes in personality traits explain a sizable portion of adult treatment effects

the nature and nurture of economic outcomes this paper uses data on adopted children to examine the relative importance of biology and environment in determining educational and labor market outcomes i employ three long term panel data sets which contain information on adopted children their adoptive parents and their biological parents in at least two of the three data sets the mechanism for assigning children to adoptive parents is fairly random and does not match children to adoptive parents based on health race or ability i find that adoptive parents education and income have a modest impact on child test scores but a large impact on college attendance marital status and earnings in contrast with existing work on iq scores i do not find that the influence of adoptive parents declines with child age this abstract was borrowed from another version of this item

rich dad smart dad decomposing the intergenerational transmission of income we construct a simple model consistent with becker and tomes that decomposes the intergenerational income elasticity into the causal effect of financial resources the mechanistic transmission of human capital and the role that human capital plays in the determination of fathers permanent incomes we show how a particular set of instrumental variables could separately identify the money and human capital transmission effects using data from a 35 percent sample of swedish sons and their fathers we show that only a minority of the intergenerational income elasticity can be plausibly attributed to the causal effect of fathers financial resources

trends in intergenerational income mobility previous studies of recent u s trends in intergenerational income mobility have produced widely varying results partly because of large sampling errors by making more efficient use of the available information in the panel study of income dynamics we generate more reliable estimates of the recent time series variation in intergenerational mobility our results which pertain to the cohorts born between 1952 and 1975 do not reveal major changes in intergenerational mobility

competition for university places and parental time investments evidence from the united kingdom across the industrialized world college educated parents invest more time in their children relative to noncollege educated parents yet the reason for the education gradient in parental time investments is not well understood using 24 hour diary surveys since the 1970s we document an inverse u shape in the education gradient in the united kingdom theories unfolding gradually and monotonically cannot easily explain this pattern using an exogenous increase in the number of students going on to university in the 1980s we show that an alternative explanation based on competition for university places can explain the temporal and spatial variation in the education gradient jel j13 j24

does education expansion increase intergenerational mobility education expansion may lead to over education where the social connections of parents may exert more significant influence on the return to education of children with the assumption of a positive correlation between return on human capital and parental income in the presence of over education we show that i the expansion of education may cause horizontal inequity in education opportunities and inefficiency in human capital accumulation ii the positive correlation between return on human capital and parental income causes a more persistent intergenerational immobility iii an expansion of education especially higher education leads to more persistent intergenerational immobility

modeling and forecasting extreme commodity prices a markov switching based extreme value model abstract we propose a markov switching multifractal peaks over threshold msm pot model to capture the dynamic behavior of the random occurrences of extreme events exceeding a high threshold in time series of returns this approach allows introducing changes of regimes in the conditional mean function of the inter exceedance times i e the time between two consecutive extreme events in order to admit the presence of short and long term memory patterns further through its multifractal structure the msm pot approach is able to capture the typical stylized facts of extreme events observed in financial time series such as temporal clustering of the size of exceedances and temporal behavior of tail thickness we compare the performance of the msm pot model with competing self exciting models and a garch evt approach in an in and out of sample var forecasting exercise based on the extreme returns of six daily commodity futures prices i e brent and wti crude oil cocoa cotton copper and gold empirical results suggest that the var estimates generated by the msm pot model for the returns analyzed produce the most accurate forecasts

the changing roles of education and ability in wage determination this study examines changes in returns to formal education and cognitive skills over the past 20 years using the 1979 and 1997 waves of the national longitudinal survey of youth we show that cognitive skills had a 30 50 larger effect on wages in the 1980s than in the 2000s returns to education were higher in the 2000s these developments are not explained by changing distributions of workers observable characteristics or by changing labor market structure we show that the decline in returns to ability can be attributed to differences in the growth rate of technology between the 1980s and 2000s

education finance reform and the distribution of education resources between 1971 and 1996 opponents of local funding for public schools successfully challenged the constitutionality of school finance systems in sixteen states using the variation across states in the timing of these cases the authors investigate the impact of reform on the distribution of school resources their results suggest that court ordered finance reform reduced within state inequality in spending by 19 to 34 percent successful litigation reduced inequality by raising spending in the poorest districts while leaving spending in the richest districts unchanged thereby increasing aggregate spending on education reform led states to fund additional spending through higher state taxes copyright 1998 by american economic association

value at risk estimation of energy commodities a long memory garch evt approach abstract in this paper we evaluate value at risk var and expected shortfall es for crude oil and gasoline market we adopt three long memory models including figarch hygarch and fiaparch to forecast energy commodity volatility by capturing some volatility stylized fact such as long range memory heteroscedasticity asymmetry and fat tails then we consider extreme value theory which concentrates on the tail distribution rather than the entire distribution evt is considered as a potential framework for the separate treatment of tails of distributions which allows for asymmetry our results show that the fiaparch model with extreme value theory performs better in predicting the one day ahead var using the fitted long memory garch model and a simulation approach to estimate var for horizons over than one day backtesting results show that our approach still performs for lower estimation frequencies overall our findings confirm that taking into account long range memory asymmetry and fat tails in the behavior of energy commodity prices returns combined with filtering process such as evt are important in improving risk management assessments and hedging strategies in the high volatile energy market

fortunate sons new estimates of intergenerational mobility in the united states using social security earnings data previous studies relying on short term averages of fathers earnings have estimated the intergenerational elasticity ige in earnings to be approximately 0 4 due to persistent transitory fluctuations these estimates have been biased down by approximately 30 or more using administrative data containing the earnings histories of parents and children the ige is estimated to be around 0 6 this suggests that the united states is substantially less mobile than previous research indicated estimates of intergenerational mobility are significantly lower for families with little or no wealth offering empirical support for theoretical models that predict differences due to borrowing constraints

economic and mechanical models of intergenerational transmission the author critically examines gary beckers attempt to integrate the theory of income distribution intragenerational differences with the theory of mobility intergenerational differences in an economic model of the family he assesses beckers claims of distinctiveness integration explanatory power and surprise and arrives at a rather skeptical view of the contribution that the core of microeconomics has made to this study of the family a reply by becker is included pp 514 8 excerpt

does parents money matter abstract this paper asks whether parents income per se has a positive impact on children s abilities previous research has established that income is positively correlated across generations this does not prove that parents money matters however since income is presumably correlated with ability this paper estimates the impact of parents income by focusing on income variation due to factors union industry and job loss that arguably represent luck i find that changes in parents income due to luck have a negligible impact on children s human capital for most families although parents money does matter for families whose father has low education

the impact of liquidity on portfolio value at risk forecasts abstracthistorical crisis events have highlighted the insufficiency of value at risk var as a measure of market risk because such metric does not take liquidity into account unlike previous stud

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

does money matter for intergenerational income transmission the intergenerational income elasticity iie is a crucial measure of income mobility in this article we develop a structural model to examine the channels through which this elasticity operates using data from the panel study of income dynamics we separately identify the human capital and the financial components the human capital component examines the transmission of human capital independent of financial investments whereas the financial component examines the impact of income that is uncorrelated with human capital that is exogenous income using a two stage framework we show that the iie operates through both channels moreover our estimates show that the financial component may have a larger effect than previously estimated plausibly attributing to 36 of intergenerational income transmission indeed this result holds even when the financial component is defined in an incredibly narrow manner this suggests that cash payments could promote intergenerational mobility

galton versus the human capital approach to inheritance a century ago francis galton proposed a simple yet powerful model of inheritance gary backer s human capital model is often used to analyze important empirical and policy questions but does it dominate galton s from a positive point of view i derive nine implicatiions of the human capital approach that are distinct from galton s evidence from the pis scf and nlsy micro data sets as well as results reported in previous literatures suggest that four of the unique implications are refuted two implications are verified and mixed results are obtained for three others some extensions of economics recently developed by becker and others when applied to inheritance may improve economics predictions

accounting for intergenerational income persistence noncognitive skills ability and education we analyse in detail the factors that lead to intergenerational persistence among sons where this is measured as the association between childhood family income and later adult earnings we seek to account for the level of income persistence in the 1970 bcs cohort and also to explore the decline in mobility in the uk between the 1958 ncds cohort and the 1970 cohort the mediating factors considered are cognitive skills non cognitive traits educational attainment and labour market attachment changes in the relationships between these variables parental income and earnings are able to explain over 80 of the rise in intergenerational persistence across the cohorts

changes in the characteristics of american youth implications for adult outcomes we examine changes in the characteristics of american youth between the late 1970s and the late 1990s with a focus on characteristics that matter for labor market success the current generation is more skilled than the previous one blacks and hispanics have gained relative to whites and women have gained relative to men however the skill distribution has widened overall shifts in parental education generate many of the observed changes we also provide speculative estimates suggesting that if recent trends in technology and the supply of human capital continue wage inequality will increase substantially by 2025

estimation of value at risk for energy commodities via fat tailed garch models the choice of an appropriate distribution for return innovations is important in var applications owing to its ability to directly affect the estimation quality of the required quantiles this study investigates the influence of fat tailed innovation process on the performance of one day ahead var estimates using three garch models garch n garch t and garch ht daily spot prices of five energy commodities wti crude oil brent crude oil heating oil 2 propane and new york harbor conventional gasoline regular are used to compare the accuracy and efficiency of the var models empirical results suggest that for asset returns that exhibit leptokurtic and fat tailed features the var estimates generated by the garch ht models have good accuracy at both low and high confidence levels additionally mrsb indicates that the garch ht model is more efficient than alternatives for most cases at high confidence levels these findings suggest that the heavy tailed distribution is more suitable for energy commodities particularly var calculation

life cycle variations in the association between current and lifetime income replication and extension for sweden we apply haider and solon s generalized errors in variables model to swedish income tax data to produce estimates of the association between current and lifetime income our estimates demonstrate strong life cycle patterns this implies that the widespread use of current income as a proxy for lifetime income leads to inconsistent parameter estimates i e life cycle bias even when the proxy is used as the dependent variable estimates for comparable cohorts of swedish and american men demonstrate surprising similarities there are however significant gender and cohort differences in this association that lead to statistically significant and quantitatively meaningful differences in life cycle biases

forecasting the var of crude oil market do alternative distributions help abstract accurate modeling of the empirical distribution of crude oil market returns is extremely important in estimating risk measures in addition to several commonly used distributions alternative distributions are explored in this study some of which account for the asymmetry and heavy tails simultaneously found in distributions and contain more tail parameters to separately depict the right and left tails when forecasting the value at risk var of crude oil markets during highly volatile periods seven backtests are also conducted to compare the var forecasting accuracy among different distributions the empirical results indicate that a highly volatile environment challenges the commonly used distributions and the four risk models based on commonly used distributions are rejected about 27 to 38 of the time the alternative distributions i e skewed general error distributions sged generalized hyperbolic skewed student t distributions ghst and generalized asymmetric student t gast distributions generally produce more accurate var measurement and gast gives the best measurement accuracy the empirical results imply that risk managers or policymakers should further consider more flexible distributions such as sged ghst or gast in particular when quantifying or managing the risk in turbulent market times

residual shape risk on natural gas market with mixed jump diffusion price dynamics abstract this paper introduces residual shape risk as a new subclass of energy commodity risk residual shape risk is caused by insufficient liquidity of energy forward market when retail energy supplier has to hedge his short sales by a non flexible standard baseload product available on wholesale market because of this inflexibility energy supplier is left with residual unhedged position which has to be closed at spot market the residual shape risk is defined as the difference between spot and forward prices weighted by residual unhedged position whose size depends on the shape of customers portfolio of a given retail energy supplier we evaluated residual shape risk over the years 2014 2018 with a real portfolio of a leading natural gas retail supplier in the czech republic the size of residual shape risk in our example corresponds approximately to 1 percent of the profit margin of the natural gas retail supplier

government spending and intergenerational mobility abstract the standard model of intergenerational mobility suggests that holding constant endowments investments in children s human capital increases their future income if true the source of the investment should not matter even though almost all research on intergenerational mobility considers only parental investment much government spending is intended to reduce the investment gap between rich and poor children we assess the relationship between government spending and intergenerational economic mobility using data from the panel study of income dynamics and data on state spending from the u s census of governments we find greater intergenerational mobility in high spending states compared to low spending states two additional findings also suggest that government spending increases intergenerational mobility first the difference in mobility between advantaged and disadvantaged children is smaller in high spending compared to low spending states and second expenditures aimed at low income populations increase the future income of low income but not high income children

changing roles of ability and education in u s intergenerational mobility using data on young adults from the 1979 and 1997 national longitudinal survey of youth we investigate the changing roles of ability and education in the transmission of economic status across generations we find that ability plays a substantially diminished role for the most recent cohort whereas education plays a much larger role the first finding results primarily from a smaller effect of children s ability on status the second from an increased correlation between parental status and educational attainment a replication of the analysis by gender reveals that the changes in the role of ability are largely driven by men whereas the changes in education s role are largely driven by women jel j62 i24

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 inheritance of inequality how level is the intergenerational playing field what are the causal mechanisms that underlie the intergenerational transmission of economic status are these mechanisms amenable to public policies in a way that would make the attainment of economic success more fair these are the questions we will try to answer

modelling general dependence between commodity forward curves abstract this study proposes a novel framework for the joint modelling of commodity forward curves its key contribution is twofold first we introduce a family of dynamic conditional correlation models based on hierarchical archimedean copulae hac dcc which are flexible but parsimonious instruments that capture a wide range of dynamic dependencies second we apply these models in the context of commodity forward curves as part of the framework an extensive value at risk analysis shows that certain hac dcc models consistently outperform other introduced benchmarks in terms of the preciseness of their out of sample distribution forecasts of the returns of various commodity futures portfolios this shows that the proposed modelling framework as one of its possible applications can be a useful and convenient risk management tool

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

decomposing economic mobility transition matrices the intergenerational mobility literature has consistently found that the distribution of adult economic outcomes differ markedly depending on parental economic status yet much remains to be understood about the drivers or determinants of this relationship existing literature on potential drivers focuses primarily on mean effects to help provide a more complete picture of the potential forces driving economic persistence we propose a method to decompose transition matrices and related indices specifically we decompose differences between an estimated transition matrix and a benchmark transition matrix into portions attributable to differences in characteristics between individuals from different households a composition effect and portions attributable to differing returns to these characteristics between individuals from different households a structure effect we also incorporate a detailed decomposition based on copula theory that decomposes the composition effect into portions attributable to specific covariates and their interactions we illustrate our method using data on white men from the 1979 national longitudinal survey of youth estimation is based on an extended mincer equation that includes cognitive and non cognitive measures to address the potential endogeneity of education we implement an iv strategy that allows us to estimate causal effects and investigate the role of unobserved ability

value at risk for long and short trading positions in this paper we model value at risk var for daily stock index returns using a collection of parametric models of the arch family based on the skewed student distribution we show that models that rely on a symmetric density distribution for the error term underperform with respect to skewed density models when the left and right tails of the distribution of returns must be modelled thus var for traders having both long and short positions is not adequately modelled using usual normal or student distributions we suggest using an aparch model based on the skewed student distribution to fully take into account the fat left and right tails of the returns distribution this allows for an adequate modelling of large returns defined on long and short trading positions the performances of all models are assessed on daily data for the cac40 dax nasdaq nikkei and smi stock indexes we also compute the expected short fall and the average multiple of tail event to risk measure for the new model