a generalized schwartz model for energy spot prices estimation using a particle mcmc method we propose an energy spot price model featuring a two factor price process and a two component stochastic volatility process the first factor in the price process captures the normal variations the second accounts for spikes the two component volatility allows for a flexible autocorrelation structure instead of using various filtering techniques for splitting the two factors as often found in the literature we estimate the model in one step using an adaptive mcmc method with a rao blackwellized particle filter we fit the model to uk natural gas spot prices and investigate the importance of spikes and stochastic volatility we find that the inclusion of stochastic volatility is crucial and that it strongly impacts the jump intensity in the spike process furthermore our estimation method enables us to consider both continuous and purely jump driven volatility processes and thereby assess if the volatility specification also influences the spike process and the overall model fit

model complexity and out of sample performance evidence from s p 500 index returns abstract we apply a range of out of sample specification tests to more than forty competing stochastic volatility models to address how model complexity affects out of sample performance using daily s p 500 index returns model confidence set estimations provide strong evidence that the most important model feature is the non affinity of the variance process despite testing alternative specifications during the turbulent market regime of the global financial crisis of 2008 we find no evidence that either finite or infinite activity jump models or other previously proposed model extensions improve the out of sample performance further applications to value at risk demonstrate the economic significance of our results furthermore the out of sample results suggest that standard jump diffusion models are misspecified

dynamic asset allocation with event risk major events often trigger abrupt changes in stock prices and volatility we study the implications of jumps in prices and volatility on investment strategies using the event risk framework of duffie pan and singleton 2000 we provide analytical solutions to the optimal portfolio problem event risk dramatically affects the optimal strategy an investor facing event risk is less willing to take leveraged or short positions the investor acts as if some portion of his wealth may become illiquid and the optimal strategy blends both dynamic and buy and hold strategies jumps in prices and volatility both have important effects

the pricing of options on assets with stochastic volatilities one option pricing problem that has hitherto been unsolved is the pricing of a european call on an asset that has a stochastic volatility this paper examines this problem the option price is determined in series form for the case in which the stochastic volatility is independent of the stock price numerical solutions are also produced for the case in which the volatility is correlated with the stock price it is found that the black scholes price frequently overprices options and that the degree of overpricing increases with the time to maturity one option pricing problem that has hitherto remained unsolved is the pricing of a european call on a stock that has a stochastic volatility from the work of merton 12 garman 6 and cox ingersoll and ross 3 the differential equation that the option must satisfy is known the solution of this differential equation is independent of risk preferences if a the volatility is a traded asset or b the volatility is uncorrelated with aggregate consumption if either of these conditions holds the risk neutral valuation arguments of cox and ross 4 can be used in a straightfoward way this paper produces a solution in series form for the situation in which the stock price is instantaneously uncorrelated with the volatility we do not assume that the volatility is a traded asset also a constant correlation between the instantaneous rate of change of the volatility and the rate of change of aggregate consumption can be accommodated the option price is lower than the blackscholes b s 1 price when the option is close to being at the money and higher when it is deep in or deep out of the money the exercise prices for which overpricing by b s takes place are within about ten percent of the security price this is the range of exercise prices over which most option trading takes place so we may in general expect the b s price to overprice options this effect is exaggerated as the time to maturity increases one of the most surprising implications of this is that if the b s equation is used to determine the implied volatility of a near the money option the longer the time to maturity the lower the implied volatility numerical solutions for the case in which the volatility is correlated with the stock price are also examined the stochastic volatility problem has been examined by merton 13 geske 7 johnson 10 johnson and shanno 11 eisenberg 5 wiggins 16 and

are interest rate options important for the assessment of interest rate risk abstract fixed income options contain substantial information on the price of interest rate volatility risk in this paper we ask if those options will also provide information related to other moments of the objective distribution of interest rates based on dynamic term structure models within the class of affine models we find that interest rate options are useful for the identification of interest rate quantiles two three factor models are adopted and their adequacy to estimate value at risk of zero coupon bonds is tested we find significant difference on the quantitative assessment of risk when options are or not included in the estimation process of each of these dynamic models statistical backtests indicate that bond estimated risk is clearly more adequate when options are adopted although not yet completely satisfactory

the nature of government expenditures and the shape of the laffer curve abstract the existence of a negatively sloped section on the tax revenue tax rate relationship is shown to crucially depend on the nature of government expenditures it is proved that a sufficient condition for existence is that the government expenditures should take the form of cash transfers to consumers rather than being used to provide a government good

jump risks and the intertemporal capital asset pricing model the specification of the stochastic process for stock prices is an important assumption underlying most equilibrium and option pricing models in modern finance this is particularly true of the continuous time capital asset pricing models where it is assumed that asset prices follow diffusion processes with continuous sample paths see merton 1973a breeden 1979 grossman and shiller 1982 the extent to which the implications of these models generalize to discontinuous sample paths is an unanswered question in theoretical finance however the answer to this question is of more than just theoretical interest since accumulated empirical evidence appears to be inconsistent with the continuous sample path assumption see rosenberg 1972 oldfield rogalski and jarrow 1977 rosenfeld 1982 one purpose of this paper is to provide some answers to this question we do this by extending merton s 1973a intertemporal asset pricing model in the special case of a constant investment opportunity set to include discontinuous sample paths for asset prices the constant investment opportunity set assumption is imposed because we are interested in obtaining sufficient conditions under which an instantaneous capital asset pricing model capm results the extension of our model to a stochastic opportunity set is discussed briefly in the text this paper investigates an economy where stock prices follow a jump diffusion process the first part of the analysis derives a sufficient condition under which an instantaneous capm will characterize equilibrium expected returns the sufficient condition is that the jump component of a stock s return must be unsystematic and diversifiable in the market portfolio the second part of the paper is an empirical investigation of the satisfaction of this condition the evidence is seen to be inconsistent with the satisfaction of this hypothesis that is the market portfolio appears to contain a jump component

nature of transfers income tax function and empirical estimation of elasticity of taxable income for brazil abstractthis article aims to estimate the elasticity of taxable income eti taking into account the nature of transfers and their use as a redistribution package involving cash and in kind transfers to households in brazil our contributions are twofold first we provide a simple model with balanced budget government that reveals the role played by cash and in kind transfers on the labour supply and income tax revenues thereof next in order to estimate eti in the presence of cash and in kind transfers brazilian population surveys pesquisa nacional por amostra de domicilios pnad are used to explore a limited tax reform that was implemented between 1997 and 1998 this reform only affected the higher income tax bracket our findings suggest that in kind cash transfers are positively negatively associated with reported taxable income and precise estimation of eti requires estimates of both types of transfers last we estimate the eti for brazil in the range from 0 4 to 1 3 not different fro

out of sample density forecasts with affine jump diffusion models abstract we conduct out of sample density forecast evaluations of the affine jump diffusion models for the s p 500 stock index and its options contracts we also examine the time series consistency between the model implied spot volatilities using options returns and only returns in particular we focus on the role of the time varying jump risk premia particle filters are used to estimate the model implied spot volatilities we also propose the beta transformation approach for recursive parameter updating our empirical analysis shows that the inconsistencies between options returns and only returns are resolved by the introduction of the time varying jump risk premia for density forecasts the time varying jump risk premia models dominate the other models in terms of likelihood criteria we also find that for medium term horizons the beta transformation can weaken the systematic effect of misspecified ajd models using options returns

partial information about contagion risk self exciting processes and portfolio optimization abstract this paper compares two classes of models that allow for additional channels of correlation between asset returns regime switching models with jumps and models with contagious jumps both classes of models involve a hidden markov chain that captures good and bad economic states the distinctive feature of a model with contagious jumps is that large negative returns and unobservable transitions of the economy into a bad state can occur simultaneously we show that in this framework the filtered loss intensities have dynamics similar to self exciting processes besides we study the impact of unobservable contagious jumps on optimal portfolio strategies and filtering

detecting and removing discrimination under equal opportunities policies abstract this paper surveys part of the recent voluminous literature on the economics of discrimination focusing on two key questions first how should discrimination be measured and can in fact unambiguous estimates be derived as the basis for detecting where discrimination is present and setting in train measures to eliminate it second to what extent has the implementation of equal opportunities legislation improved the relative standing of women and minority workers in the labour force this section includes a discussion of the likely effects of recent changes in the law such as the equal value amendment in the uk or the introduction of comparable worth in the usa the survey concludes that our ability to detect discrimination at all precisely is still rudimentary and consequently policy measures are likely to be inefficient for this reason

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

gender differences in first jobs for economists over the last several decades women have made substantial progress into traditionally maledominated professions reflecting this trend much recent research has focused on explaining the choice of profession and the gender composition of the workforce 5 23 16 however a focus on occupation choice may conceal interesting patterns within professions because a profession can include a number of different job types with a distinct mix of professional activities the dual labor market phenomenon of primary and secondary jobs may also be present although perhaps to a lesser extent within a particular profession 17 gender differences in composition of employment among the various jobs within a profession could thus affect the status pay and advancement of women in the occupation if women primarily place in secondary type jobs the advantages of entering a profession will be lower for women relatively little is known about career choice within a profession 15 in this paper we model the first job choice of economists among several careers and use data on new ph d economists over the last thirty years to examine whether career choices differ by gender over a period of low but increasing representation of women an advantage of our single profession analysis is that it contains a relatively homogeneous set of workers with quantitative human capital measures that other studies of job choice suggest are important 7 there is significant variation in career choices available within economics that permits possible market segmentation 2 there are research and teaching academic jobs and the government and private sectors employ large numbers of economists we find significant structural differences in the placements of male and female economists indicating that the choices of female economists differ from those of their male counterparts both within academia and between this and other sectors the economics profession provides a useful background to examine gender differences in the career choices of professionals in a male dominated occupation over the last 30 years the average number of ph d s conferred annually in the u s has increased from approximately 300 to over 800 reflecting increased opportunities for economists within economics departments and expansion of other academic government and private sector jobs at the same time the proportion

short term interest rates as subordinated diffusions in this article we cbaracterize and estimate the process for short term interest rates using federal funds interest rate data we presume that we are observing a discrete time sample of a stationary scalar diffusion we concentrate on a class of models in whicb the local volatility elasticity is constant and the drift has aflexible specufication to accommodate missing observations and to break the link between economic time and calendar time we model the sampling scheme as an increasing process that is not directly observed we propose and implement two new methods for estimation we find evidence for a volatility elasticity between one and onehalf and two when interest rates are high local mean reversion is smaul and the mechanism for inducing stationarity is the increased volatility of the diffusion process

some analytics of the laffer curve abstract it is shown that in a general equilibrium model with one private good one public good labour and an income tax certain widely assumed properties of the laffer curve do not necessarily hold for well behaved functional forms it may not be continuous and may not have an interior maximum its slope depends on technology as well as on the tax elasticity of labour supply for certain technologies a more negative elasticity may imply a more positive slope moreover the relevant tax elasticity is a general equilibrium one which may differ in sign from the widely quoted partial equilibrium one

from bond yield to macroeconomic instability a parsimonious affine model abstract we present a hybrid heston model with a common stochastic volatility to describe government bond yield dynamics the model is analytically tractable and therefore can be efficiently estimated using the maximum likelihood approach and a specific expansion in order to cope with the curse of dimensionality twofold is the model contribution first it captures changes in the yield volatility and predict future yield values of germany french italy and spain the result is an early warning indicator which anticipates phases of instability characterizing the time series investigated then the model describes convergence divergence phenomena among european government bond yields and explores the countries reactions to a common monetary policy described through the eonia interbank rate we also investigate the potential of this indicator on u s data treasury bills

mcmc analysis of diffusion models with application to finance this article proposes a new method for estimation of parameters in diffusion processes from discrete observations the method is based on markov chain monte carlo methodology and applies to a wide class of models including systems with unobservable state variables and nonlinearities the method is applied to the estimation of parameters in one factor cev interest rate models and a two factor model with a latent stochastic volatility component sv the cev model is found to do a poor job in capturing the time varying volatility interest rate data the sv model provides vastly superior fit to that of the cev model the article also presents a simulation study that demonstrates that the method provides accurate parameter estimates of the sv model at moderate sample sizes

estimating the effects of information surprises and trading on stock returns using a mixed jump diffusion model i present a methodology that uses the mixed jump diffusion model for stock returns to estimate the separate effects of information surprises and strategic trading around corporate events using simulation techniques i show that for events with multiple announcements spread over a long time the estimators derived from the mixed jump diffusion model are more powerful compared to the traditional cumulative abnormal return estimators the new methodology is used to study the separate effects of information surprises and strategic trading associated with blockholdings and subsequent targeted repurchases i find that for more than 93 percent of the firms in our sample the mixed jump diffusion model is statistically superior to the pure diffusion model in describing stock returns more important i find a statistically significant negative effect due to trading while the average effect around announcements is statistically insignificant in contrast the standard cumulative abnormal return is not statistically different from zero article published by oxford university press on behalf of the society for financial studies in its journal the review of financial studies

volatility dynamics for the s p 500 further evidence from non affine multi factor jump diffusions we apply markov chain monte carlo methods to time series data on s p 500 index returns and to its option prices via a term structure of vix indices to estimate 18 different affine and non affine stochastic volatility models with one or two variance factors and where jumps are allowed in both the price and the instantaneous volatility the in sample fit to the vix term structure shows that the second stochastic long term volatility factor is required to fit the vix term structure out of sample tests on the fit to individual option prices as well as in sample tests show that the inclusion of jumps is less important than allowing for non affine dynamics the estimation and testing periods together cover more than 21 years of daily data

optimal filtering of jump diffusions extracting latent states from asset prices this paper provides an optimal filtering methodology in discretely observed continuoustime jump diffusion models although the filtering problem has received little attention it is useful for estimating latent states forecasting volatility and returns computing model diagnostics such as likelihood ratios and parameter estimation our approach combines time discretization schemes with monte carlo methods it is quite general applying in nonlinear and multivariate jump diffusion models and models with nonanalytic observation equations we provide a detailed analysis of the filter s performance and analyze four applications disentangling jumps from stochastic volatility forecasting volatility comparing models via likelihood ratios and filtering using option prices and returns jel c11 c13 c15 c51 c52 g11 g12 g17 this paper develops a filtering approach for learning about unobserved shocks and states from discretely observed prices generated by continuous time jumpdiffusion models the optimal filtering problem which has received little attention is the natural companion to the parameter estimation problem as filters allow researchers to analyze and use their models for practical applications 1 despite its usefulness there is currently no general method for solving the filtering problem in continuous time models

inferring volatility dynamics and risk premia from the s p 500 and vix markets abstract we estimate a flexible affine model using an unbalanced panel containing s p 500 and vix index returns and option prices and analyze the contribution of vix options to the model s in and out of sample performance we find that they contain valuable information on the risk neutral conditional distributions of volatility at different time horizons which is not spanned by the s p 500 market this information allows enhanced estimation of the variance risk premium we gain new insights on the term structure of the variance risk premium present a trading strategy exploiting these insights and show how to improve s p 500 return forecasts

u s stock market crash risk 1926 2010 abstract this paper examines how well alternate time changed levy processes capture stochastic volatility and the substantial outliers observed in u s stock market returns over the past 85 years the autocorrelation of daily stock market returns varies substantially over time necessitating an additional state variable when analyzing historical data i estimate various one and two factor stochastic volatility levy models with time varying autocorrelation via extensions of the bates 2006 methodology that provide filtered daily estimates of volatility and autocorrelation the paper explores option pricing implications including for the volatility index vix during the recent financial crisis

systemic risk and international portfolio choice returns on international equities are characterized by jumps moreover these jumps tend to occur at the same time across countries leading to systemic risk we capture these stylized facts using a multivariate system ofjump diffusion processes where the arrival of jumps is simultaneous across assets we then determine an investor s optimal portfolio for this model of returns systemic risk has two effects one it reduces the gains from diversification and two it penalizes investors for holding levered positions we find that the loss resulting from diminished diversification is small while that from holding very highly levered positions is large returns on international equities are characterized by jumps 1 moreover these jumps tend to occur at the same time across countries implying that conditional correlations between international equity returns tend to be higher in periods of high market volatility or following large downside moves 2 our objective in

small dimension pde for discrete asian options abstract this paper presents an efficient method for pricing discrete asian options in presence of smile and non proportional dividends using an homogeneity property we show how to reduce an n 0 dimensional problem to a one or two dimensional one we examine different numerical specifications of our dimension reduced pde using a crank nicholson method interpolation method grid boundaries time and space steps as well as the extension to the case of non proportional discrete dividends using a jump condition we benchmark our results with quasi monte carlo simulation and a multi dimensional pde

pricing weather derivatives this article presents a general method for pricing weather derivatives specification tests find that a temperature series for fresno ca follows a mean reverting brownian motion process with discrete jumps and autoregressive conditional heteroscedastic errors based on this process we define an equilibrium pricing model for cooling degree day weather options comparing option prices estimated with three methods a traditional burn rate approach a black scholes merton approximation and an equilibrium monte carlo simulation reveals significant differences equilibrium prices are preferred on theoretical grounds so are used to demonstrate the usefulness of weather derivatives as risk management tools for california specialty crop growers

equity index variance evidence from flexible parametric jump diffusion models this paper analyzes a wide range of flexible drift and diffusion specifications of stochastic volatility jump diffusion models for daily s p 500 index returns we find that model performance is driven almost exclusively by the specification of the diffusion component whereas the drift specifications is of second order importance further the variance dynamics of non affine models resemble popular non parametric high frequency estimates of variance and their outperformance is mainly accumulated during turbulent market regimes finally we show that jump diffusion models yield more reliable estimates for the expected return of variance swap contracts

estimating the parameters of stochastic volatility models using option price data this article describes a maximum likelihood method for estimating the parameters of the standard square root stochastic volatility model and a variant of the model that includes jumps in equity prices the model is fitted to data on the s p 500 index and the prices of vanilla options written on the index for the period 1990 to 2011 the method is able to estimate both the parameters of the physical measure associated with the index and the parameters of the risk neutral measure associated with the options including the volatility and jump risk premia the estimation is implemented using a particle filter whose efficacy is demonstrated under simulation the computational load of this estimation method which previously has been prohibitive is managed by the effective use of parallel computing using graphics processing units gpus the empirical results indicate that the parameters of the models are reliably estimated and consistent with values reported in previous work in particular both the vola

the gender pay gap beyond human capital heterogeneity in noncognitive skills and in labor market tastes abstract focused on human capital economists typically explain about half of the gender earnings gap for a national sample of mbas we account for 82 percent of the gap by incorporating noncognitive skills for example confidence and assertiveness and preferences regarding family career and jobs those two sources of gender heterogeneity account for a quarter of the explained pay gap with half due to human capital variables and the other quarter due to hours worked and current job characteristics female mbas appear to pay a penalty for good citizen behavior choosing jobs that contribute to society and characteristics higher ethical standards

executive compensation female executives and networking the phrase it s who you know not what you know that counts is often heard in conversations about people who get ahead in economic terms this phrase translates into it s your connections not your human capital investments that count this study attempts to determine the influence of networking in addition to human capital investments by examining a sample of top female executives in the united states we conclude that networking is as important as performance variables in helping women climb the corporate ladder

sequential bayesian analysis of time changed infinite activity derivatives pricing models this article investigates time changed infinite activity derivatives pricing models from the sequential bayesian perspective it proposes a sequential monte carlo method with the proposal density generated by the unscented kalman filter this approach overcomes to a large extent the particle impoverishment problem inherent to the conventional particle filter simulation study and real applications indicate that 1 using the underlying alone cannot capture the dynamics of states and by including options the precision of state filtering is dramatically improved 2 the proposed method performs better and is more robust than the conventional one and 3 joint identification of the diffusion stochastic volatility and jumps can be achieved using both the underlying data and the options data

labor supply taxes and government spending a microeconometric analysis the effect of government spending on labor supply behavior is critical to predicting the balanced budget effect of income taxes and to estimating the marginal social cost of public funds yet its very existence not to mention direction and magnitude has not been empirically investigated this research estimates a labor supply function that incorporates income taxation and government spending using microeconomic data for men and women the empirical results suggest that public sector spending may have a significant effect on labor supply thereby leading to estimates of the marginal social cost of public funds that differ from those typically calculated

likelihood based specification analysis of continuous time models of the short term interest rate an extensive collection of continuous time models of the short term interest rate is evaluated over data sets that have appeared previously in the literature the analysis which uses the simulated maximum likelihood procedure proposed by durham and gallant 2002 provides new insights regarding several previously unresolved questions for single factor models i find that the volatility not the drift is the critical component in model specification allowing for additional flexibility beyond a constant term in the drift provides negligible benefit while constant drift would appear to imply that the short rate is nonstationary in fact stationarity is volatility induced the simple constant elasticity of volatility model fits weekly observations of the three month treasury bill rate remarkably well but is easily rejected when compared with more flexible volatility specifications over daily data the methodology of durham and gallant can also be used to estimate stochastic volatility models while adding the latent volatility component provides a large improvement in the likelihood for the physical process it does little to improve bond pricing performance

regime shifts in a dynamic term structure model of u s treasury bond yields this article develops and empirically implements an arbitrage free dynamic term structure model with priced factor and regime shift risks the risk factors are assumed to follow a discrete time gaussian process and regime shifts are governed by a discrete time markov process with state dependent transition probabilities this model gives closed form solutions for zero coupon bond prices an analytic representation of the likelihood function for bond yields and a natural decomposition of expected excess returns to components corresponding to regime shift and factor risks using monthly data on u s treasury zero coupon bond yields we show a critical role of priced state dependent regime shift risks in capturing the time variations in expected excess returns and document notable differences in the behaviors of the factor risk component of the expected returns across high and low volatility regimes additionally the state dependence of the regime switching probabilities is shown to capture an interesting asymmetry in the cyclical behavior of interest rates the shapes of the term structure of volatility of bond yield changes are also very different across regimes with the well known hump being largely a low volatility regime phenomenon jel g12 this article develops and empirically implements an arbitrage free dynamic term structure model dtsm with priced factor and regimeshift risks the risk factors are assumed to follow a discrete time gaussian process and regime shifts are governed by a discrete time markov process with state dependent transition probabilities agents are assumed to know both the current state of the economy and the regime they are currently in this leads to regime dependent risk neutral pricing and an equilibrium term structure that reflects the risks of both changes in the state and shifts in regimes

a multifactor stochastic volatility model of commodity prices we propose a novel representation of commodity spot prices in which the cost of carry and the spot price volatility are both driven by an arbitrary number of risk factors nesting many existing specifications the model exhibits unspanned stochastic volatility provides simple closed form expressions of commodity futures and yields analytic formulas of european options on futures we estimate the model using oil futures and options data and find that the pricing of traded contracts is accurate for a wide range of maturities and strike prices the results suggest that at least three risk factors in the spot price volatility are needed to accurately fit the volatility surface of options on oil futures highlighting the importance of using general multifactor models in pricing commodity contingent claims

maximum likelihood estimation of latent affine processes this article develops a direct filtration based maximum likelihood methodology for estimating the parameters and realizations of latent affine processes filtration is conducted in the transform space of characteristic functions with a version of bayes rule used for recursively updating the joint characteristic function of latent variables and the data conditional upon past data an application to daily stock returns over 1953 96 reveals substantial divergences from emm based estimates in particular more substantial and time varying jump risk the implications for stock index options prices are discussed

o papel das redes sociais na condicao do desempregado uma analise usando a teoria de matching the paper investigates whether the size of social networks can aect the unemployment rate of the economy therefore based on a theoretical model of matching i propose a technique for simulating the eects of networks on the employability of workers the proposal is applied to a database of portugal noting evidence that there is an optimal size of network that minimizes the unemployment rate

asymmetry in the jump size distribution of the s p 500 evidence from equity and option markets this paper studies alternative distributions for the size of price jumps in the s p 500 index we introduce a range of new jump diffusion models and extend popular double jump specifications that have become ubiquitous in the finance literature the dynamic properties of these models are tested on both a long time series of s p 500 returns and a large sample of european vanilla option prices we discuss the in and out of sample option pricing performance and provide detailed evidence of jump risk premia models with double gamma jump size distributions are found to outperform benchmark models with normally distributed jump sizes

bond yields and the federal reserve bond yields respond to policy decisions by the federal reserve and vice versa to learn about these responses i model a high frequency policy rule based on yield curve information and an arbitrage free bond market in continuous time the fed s target is a pure jump process jump intensities depend on the state of the economy and the meeting calendar of the federal open market committee the model has closed form solutions for yields as functions of a few state variables introducing monetary policy helps to match the whole yield curve because the target is an observable state variable that pins down its short end and introduces important seasonalities around fomc meetings the volatility of yields is snake shaped which the model explains with policy inertia the policy rule crucially depends on the two year yield and describes fed policy better than taylor rules

general equilibrium pricing of options on the market portfolio with discontinuous returns when the price process for a long lived asset is of a mixed jump diffusion type pricing of options on that asset by arbitrage is not possible if trading is allowed only in the underlaying asset and a risk less bond using a general equilibrium framework we derive and analyze option prices when the underlying asset is the market portfolio with discontinuous returns the premium for the risk of jumps and the diffusion risks forms a significant part of the prices of the options in this economy an attempted replication of call and put options by the black scholes type of trading strategies may require substantial infusion of funds when jumps occur we study the cost and risk implications of such dynamic hedging plans article published by oxford university press on behalf of the society for financial studies in its journal the review of financial studies

simulated likelihood estimation of diffusions with an application to exchange rate dynamics in incomplete markets abstract we present an econometric method for estimating the parameters of a diffusion model from discretely sampled data the estimator is transparent adaptive and inherits the asymptotic properties of the generally unattainable maximum likelihood estimator we use this method to estimate a new continuous time model of the joint dynamics of interest rates in two countries and the exchange rate between the two currencies the model allows financial markets to be incomplete and specifies the degree of incompleteness as a stochastic process our empirical results offer several new insights into the dynamics of exchange rates

the statistical and economic role of jumps in continuous time interest rate models this paper analyzes the role of jumps in continuous time short rate models i first develop a test to detect jump induced misspecification and using treasury bill rates find evidence for the presence of jumps second i specify and estimate a nonparametric jump diffusion model results indicate that jumps play an important statistical role estimates of jump times and sizes indicate that unexpected news about the macroeconomy generates the jumps finally i investigate the pricing implications of jumps jumps generally have a minor impact on yields but they are important for pricing interest rate options

the risk of a mortality catastrophe we develop a continuous time model for analyzing and valuing catastrophe mortality contingent claims based on stochastic modeling of the force of mortality we derive parameter estimates from a 105 year time series of u s population mortality data using a simulated maximum likelihood approach based on a particle filter relying on the resulting parameters we calculate loss profiles for a representative catastrophe mortality transaction and compare them to the official loss profiles that are provided by the issuers to investors and rating agencies we find that although the loss profiles are subject to great uncertainties the official figures fall significantly below the corresponding risk statistics based on our model in particular we find that the annualized incidence probability of a mortality catastrophe defined as a 15 increase in aggregated mortality probabilities is about 1 4 compared to about 0 1 according to the official loss profiles

taxation as a social choice problem the scope of the laffer argument abstract this paper studies the form of the tax equilibrium set in simple diamond mirrlees models and characterizes the corresponding laffer curves the curves need not ever slope downward and can have multiple local maxima local information about them is thus not sufficient to place restrictions on optimal choice among tax systems in this simple framework the problem of choice among tax systems is shown to have no more structure than an abstract social choice problem