pollution without subsidy what is the environmental performance index overlooking abstract agriculture is heavily subsidized in most organization for economic cooperation and development oecd countries and environmental externalities can occur due to pollution caused by protectionist policies this study examines the structure of agricultural protection in oecd countries from a chronological and comparative perspective in addition the policy environment interaction is scrutinized to better explain the environmental implications of agricultural policies in the era of globalization this paper critically evaluates the environmental performance index and recommends that this index includes polluting inputs in future calculations

the economic determinants of interest rate option smiles we address three questions relating to the interest rate options market what is the shape of the smile what are the economic determinants of the shape of the smile do these determinants have predictive power for the future shape of the smile and vice versa we investigate these issues using daily bid and ask prices of euro interest rate caps floors we find a clear smile pattern in interest rate options the shape of the smile varies over time and is affected in a dynamic manner by yield curve variables and the future uncertainty in the interest rate markets it also has information about future aggregate default risk our findings are useful for the pricing hedging and risk management of these derivatives

the impact of firm specific news on implied volatilities we study the implied volatility behavior of call options around scheduled news announcement days implied volatilities increase significantly during the pre event period and reach a maximum on the eve of the news announcement after the news release implied volatility drops sharply and gradually moves back to its long run level only on the event date are movements in the price of the underlying significantly larger than expected these results confirm the theoretical results of merton 1973

option pricing when the variance changes randomly theory estimation and an application in this paper we examine the pricing of european call options on stocks that have vari ance rates that change randomly we study continuous time diffusion processes for the stock return and the standard deviation parameter and we find that one must use the stock and two options to form a riskless hedge the riskless hedge does not lead to a unique option pricing function because the random standard deviation is not a traded security one must appeal to an equilibrium asset pricing model to derive a unique option pricing function in general the option price depends on the risk premium associated with the random standard deviation we find that the problem can be simplified by assuming that volatility risk can be diversified away and that changes in volatility are uncorrelated with the stock return the resulting solution is an integral ofthe black scholes formula and the distribution function for the variance of the stock price we show that accurate option prices can be computed via monte carlo simulations and we apply the model to a set of actual prices

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

time series forecasts of international travel demand for australia abstract this paper analyses stationary and non stationary international tourism time series data by formally testing for the presence of unit roots and seasonal unit roots prior to estimation model selection and forecasting various box jenkins autoregressive integrated moving average arima models are estimated over the period 1975 1 1989 4 for tourist arrivals to australia from hong kong malaysia and singapore the mean absolute percentage error and root mean squared error rmse are used as measures of forecast accuracy as the best fitting arima model is found to have the lowest rmse this model is used to obtain post sample forecasts tourist arrivals data for 1990 1 1996 4 are compared with the forecast performance of the arima model for each origin market the fitted arima model forecasts tourist arrivals from singapore for the period 1990 1 1996 4 very well although the arima model outperforms the seasonal arima models for hong kong and malaysia the forecasts of tourist arrivals are not as accurate as in the case of singapore

how important is the term structure in implied volatility surface modeling evidence from foreign exchange options we claim that previously proposed parametric specifications that linearly approximate the term structure of the implied volatility surface ivs in option prices fail to capture important information regarding the expectations of market participants this paper proposes a parametric specification for describing the ivs that allows flexible modeling of the term structure through a nelson and siegel 1987 factorization recently proposed by diebold and li 2006 in the context of yield curve modeling the specification is tested on implied volatilities from the over the counter foreign exchange options market where contracts with long expiries are actively traded and thus the term structure dimension of the surface should be very important we first show that the proposed volatility specification can consistently and remarkably improve our ability to describe the surface on any given day we then establish the economic relevance of the incremental information captured by our proposed specification by showing that it can produce more accurate forecasts of implied volatility that can support long term profitable trading strategies in the absence of transaction costs

models of stock returns a comparison in this paper a discrete mixture of normal distributions is proposed to explain the observed significant kurtosis fat tails and significant positive skewness in the distribution of daily rates of returns for a sample of common stocks and indexes stationarity tests on the parameter estimates of this discrete mixture of normal distributions model revealed significant differences in the mean estimates that can explain the observed skewness and significant differences in the variance estimates that can explain the observed kurtosis an alternative explanation for the observed fat tails is the symmetric student model the result of a comparison between the models is that the discrete mixture of normal distributions model has substantially more descriptive validity than the student model for many years both financial economists and statisticians have been concerned with the description of stock market returns the form of the distribution of stock returns is a crucial assumption for mean variance portfolio theory theoretical models of capital asset prices and the prices of contingent claims for example understanding the behavior of the variance is essential to option pricing models empirical tests of asset pricing models and the efficient markets hypothesis draw statistical inferences that are also conditional on distributional assumptions the most convenient assumption for financial theory and empirical methods is that the distribution of security rates of return be multivariate normal with parameters that are stationary over time since the normal distribution is stable under addition any arbitrary portfolio of stocks will also be normally distributed with the additional assumption of risk aversion mean variance theory follows furthermore the assumptions of normality and parameter stationarity are required for most of the econometric techniques typically used in empirical research tests of the normality hypothesis on the daily returns of the dow jones industrial stocks by fama 121 revealed more kurtosis fatter tails than that predicted from a sample of independent and identically distributed normal variates fama concluded from this evidence that the distribution of price changes conforms better to the stable paretian distribution with characteristic exponent

measuring persistence in croatian tourism evidence from the adriatic region this study examines the degree of persistence in foreign tourist arrivals and overnight stays for seven croatian coastal counties over the period january 1998 to december 2013 using fractional integration techniques our findings reveal that the respective regional tourism indicators exhibit seasonal unit roots which require seasonal first differences to render the respective time series stationary with respect to the long run evolution of the respective time series both the parametric and semi parametric fractional integration approaches show the degree of persistence is greater than zero but significantly less than one for the majority of the coastal counties impulse response analysis reveals indeed shocks to the deseasonalized time series either foreign tourist arrivals or foreign tourist overnight stays appear short lived with the exception of istria and primorje gorski kotar counties policy implications of the results are also discussed

approximate option valuation for arbitrary stochastic processes abstract we show how a given probability distribution can be approximated by an arbitrary distribution in terms of a series expansion involving second and higher moments this theoretical development is specialized to the problem of option valuation where the underlying security distribution if not lognormal can be approximated by a lognormally distributed random variable the resulting option price is expressed as the sum of a black scholes price plus adjustment terms which depend on the second and higher moments of the underlying security stochastic process this approach permits the impact on the option price of skewness and kurtosis of the underlying stock s distribution to be evaluated

the term structure of volatility implied by foreign exchange options this paper illustrates regression and kalman filtering methods for estimating the time varying term structure of volatility expectations revealed by options prices short and long term expectations are estimated for four currencies using daily phlx options prices from 1985 to 1989 throughout this period there were important differences between shortand long term expectations the slope of the term structure changed frequently and there were significant variations in long term volatility expectations the expectation estimates can be used to value otc options to improve hedging strategies and to test the hypothesis that the options market overreacts

the volatility risk premium embedded in currency options this study employs a non parametric approach to investigate the volatility risk premium in the over the counter currency option market using a large database of daily delta neutral straddle quotes in four major currencies the british pound the euro the japanese yen and the swiss franc we find that volatility risk is priced in all four currencies across different option maturities we find that the volatility risk premium is negative with the premium decreasing in maturity finally we also find evidence that jump risk may be priced in the currency option market

valuation of power options under heston s stochastic volatility model abstract we derive semi analytic solutions for power option prices under the heston model specifically the pricing formula is shown to be valid whenever the power of the underlying asset price has a finite moment unlike the majority of stochastic volatility models there remains a significant problem to check the existence of moments of assets prices of order higher than one fortunately the moment explosion property under the heston model is examined systematically in andersen and piterbarg 2000 incorporating with their results we present explicit formulas for moment generating function of log price and for power option prices under the circumstances when the corresponding moments are finite in case that the corresponding moment explodes we provide two numerical methods to derive prices of power put and capped power call options in spite of a simple idea numerical examples show that the approximations are extremely accurate and efficient

a piecewise linear approach to modeling and forecasting demand for macau tourism abstract in this paper we construct and use a piecewise linear method to model and forecast on a monthly basis the demand for macau tourism data over the period january 1991 december 2005 and a seasonally adjusted series for tourism demand are used the study examines 4 forecasting horizons ranging from 6 to 24 months in advance mean absolute percentage errors and root mean square errors are adopted as criteria for evaluating the accuracy of the forecasting exercises finally the forecasts of piecewise linear model are compared with those of autoregressive trend model seasonal autoregressive integrated moving average and its arch rival fractionally integrated autoregressive moving average models the piecewise linear model is more accurate than the three benchmark models tested and the improvement is practically significant

environmental kuznets curves real progress or passing the buck abstract recent research has examined the hypothesis of an environmental kuznets curve ekc the notion that environmental impact increases in the early stages of development followed by declines in the later stages these studies have focused on the relationship between per capita income and a variety of environmental indicators results imply that ekcs may exist for a number of cases however the measures of environmental impact used generally focus on production processes and reflect environmental impacts that are local in nature and for which abatement is relatively inexpensive in terms of monetary costs and or lifestyle changes significantly more consumption based measures such co2 emissions and municipal waste for which impacts are relatively easy to externalize or costly to control show no tendency to decline with increasing per capita income by considering consumption and trade patterns the author re examines the concept of the ekc and proposes the use of alternative consumption based measures of environmental impact the author speculates that what appear to be improvements in environmental quality may in reality be indicators of increased ability of consumers in wealthy nations to distance themselves from the environmental degradation associated with their consumption

a contribution to event study methodology with an application to the dutch stock market abstract this paper proposes an extended market model for event studies based on daily stock returns for actual data the assumptions of the simple market model are violated the return distribution is not normal and neither the variance of the error term nor the risk parameter beta are constant our model incorporates the generalized autoregressive conditional heteroskedasticity garch model with t distributed errors and a time dependent beta we test for anomalies by adding dummy variables in the regression equation our model is fairly general and could be used in a wide variety of event study situations we illustrate the model by an analysis of the weekend and the option expiration effect we use return data from the dutch stock market the weekend effect on stock returns is significant but no expiration effect could be detected

displaced diffusion option pricing this paper develops a new option pricing formula that pushes the underlying source of risk back to the risk of individual assets of the firm the formula simultaneously encompasses differential riskiness of the assets of the firm their relative weights in determining the value of the firm the effects of firm debt and the effects of a dividend policy with both constant and random components although this setting considerably generalizes the black scholes 1 analysis it nonetheless produces a formula via riskless arbitrage arguments that given estimated inputs is as easy to use as the black scholes formula

modeling and forecasting tourism demand for arrivals with stochastic nonstationary seasonality and intervention abstract this paper presents the use of time series sarima and marima with interventions in forecasting tourism demand using ten arrival series for hong kong augmented dickey fuller tests indicated that all the series were seasonal nonstationary significant interventions such as relaxation of the issuance of out bound visitors visas the asian financial crisis the handover and the bird flu epidemic were all empirically identified with significant test results and expected signs the forecasts obtained using models that capture stochastic nonstationary seasonality and interventions sarima and marima with intervention analysis are compared with other eight time series models and were found to have the highest accuracy

conditional heteroscedasticity in time series of stock returns evidence and forecasts this article presents new evidence about the time series behavior of stock prices daily return series exhibit significant levels of second order dependence and they cannot be modeled as linear white noise processes a reasonable return generating process is empirically shown to be a first order autoregressive process with conditionally heteroskedastic innovations in particular generalized autoregressive conditional heteroskedastic garch 1 1 processes fit to data very satisfactorily various out of sample forecasts of monthly return variances are generated and compared statistically forecasts based on the garch model are found to be superior copyright 1989 by the university of chicago

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

forest resource trade between japan and southeast asia the structure of dual decay abstract forest resource trade between southeast asia and japan has been noteworthy because of its documented effects on the deforestation of southeast asia s environment this paper expands the focus of this issue to include an examination of the effects of this trade on japanese domestic forests our goal is to redefine the scope of discussions of trade environment issues we assert that the environmental problems of the importer and the exporter can be understood as a set of structurally connected phenomena which we refer to as dual decay we examine the underlying dynamics of renewable resource trade and the effects of trade liberalization on both importers and exporters environments

pricing hang seng index options around the asian financial crisis a garch approach abstract this paper investigates how well the hang seng index options the most important class of option contracts traded in hong kong are priced using the garch approach we calibrated the garch parameters using the call and put option data and used them to price options in the subsequent weeks we found the garch model performs very well in comparison with the black scholes model even after allowing for a smile smirk adjustment its superior performance was also evident both before and during the recent asian financial turmoil

long memory in foreign exchange rates using the geweke porter hudak test we find evidence of long memory in exchange rate data this implies that the empirical evidence of unit roots in exchange rates may not be robust to long memory alternatives fractionally integrated autoregressive moving average arfima models are estimated by both the time domain exact maximum likelihood ml method and the frequency domain approximate ml method impulse response functions and forecasts based on these estimated arfima models are evaluated to gain insight into the long memory characteristics of exchange rates some tentative explanations of the long memory found in the exchange rates are discussed

capital standard forbearance and deposit insurance pricing under garch abstract we propose a multiperiod deposit insurance pricing model that simultaneously incorporates the capital standard and the possibility of forbearance the model employs the recently developed garch option pricing technique in determining the deposit insurance value our model offers two distinctive advantages first it explicitly considers the implications of the strict enforcement on capital standard as stipulated in fdic improvement act of 1991 second the use of the garch model allows us to capture many robust features exhibited by financial asset returns by the garch option pricing theory the value of a contingent claim is a function of the asset risk premium this unique feature is found to be prominent in determining the bank s deposit insurance value we also examine the effects of capital forbearance and moral hazard behavior in this multiperiod deposit insurance setting

tourism demand modelling and forecasting a review of recent research abstract this paper reviews the published studies on tourism demand modelling and forecasting since 2000 one of the key findings of this review is that the methods used in analysing and forecasting the demand for tourism have been more diverse than those identified by other review articles in addition to the most popular time series and econometric models a number of new techniques have emerged in the literature however as far as the forecasting accuracy is concerned the study shows that there is no single model that consistently outperforms other models in all situations furthermore this study identifies some new research directions which include improving the forecasting accuracy through forecast combination integrating both qualitative and quantitative forecasting approaches tourism cycles and seasonality analysis events impact assessment and risk forecasting

pricing european currency options a comparison of the modified black scholes model and a random variance model we use the modified black scholes model and a random variance option pricing model to study prices of european currency options traded in geneva the options which cannot be exercised early include calls and puts on the dollar swiss franc exchange rate in the empirical analysis we examine the model fit and the biases with respect to the strike price time to maturity and volatility there is some evidence of mispricing and there are small gains available by trading with the random variance model

an intertemporal general equilibrium model of asset prices this paper develops a continuous time general equilibrium model of a simple but complete economy and uses it to examine the behavior of asset prices in this model asset prices and their stochastic properties are determined endogenously one principal result is a partial differential equation which asset prices must satisfy the solution of this equation gives the equilibrium price of any asset in terms of the underlying real variables in the economy in this paper we develop a general equilibrium asset pricing model for use in applied research an important feature of the model is its integration of real and financial markets among other things the model endogenously determines the stochastic process followed by the equilibrium price of any financial asset and shows how this process depends on the underlying real variables the model is fully consistent with rational expectations and maximizing behavior on the part of all agents our framework is general enough to include many of the fundamental forces affecting asset markets yet it is tractable enough to be specialized easily to produce specific testable results furthermore the model can be extended in a number of straightforward ways consequently it is well suited to a wide variety of applications for example in a companion paper cox ingersoll and ross 7 we use the model to develop a theory of the term structure of interest rates many studies have been concerned with various aspects of asset pricing under uncertainty the most relevant to our work are the important papers on intertemporal asset pricing by merton 19 and lucas 16 working in a continuous time framework merton derives a relationship among the equilibrium expected rates of return on assets he shows that when investment opportunities are changing randomly over time this relationship will include effects which have no analogue in a static one period model lucas considers an economy with homogeneous individuals and a single consumption good which is produced by a number of processes the random output of these processes is exogenously determined and perishable assets are defined as claims to all or a part of the output of a process and the equilibrium determines the asset prices our theory draws on some elements of both of these papers like merton we formulate our model in continuous time and make full use of the analytical tractability that this affords the economic structure of our model is somewhat similar to that of lucas however we include both endogenous production and

forecasting international tourist flows to macau abstract the vector autoregressive var modelling technique is used to forecast tourist flows to macau from eight major origin countries regions over the period 2003 2008 the existing literature shows that the var model is capable of producing accurate medium to long term forecasts and also separate forecasts of the explanatory variables are not required a further justification for using the var technique is that it permits an impulse response analysis to be performed in order to examine the ways in which the demand for macau tourism responds to the shocks in the economic variables within the var system the implications of this analysis are discussed the forecasts generated by the var models suggest that macau will face increasing tourism demand by residents from mainland china since the needs of chinese tourists tend to be different from those from other origin countries regions especially western countries the business sectors in macau need to pay considerable attention to catering for the needs of chinese tourists

volatility persistence and stock valuations some empirical evidence using garch summary in this paper issues of volatility persistence and the changing risk premium in the stock market are investigated using the garch estimation technique we get a point estimate of the index of relative risk aversion of 4 5 and confirm the existence of changing equity premiums in the us during 1962 1985 the persistence of shocks to the stock return volatility is so high that the data cannot reject a non stationary volatility process specification the results of this paper are consistent with malkiel and pindyck s hypothesis that it is the unforseen rise ini the investment uncertainty during 1974 that causes the market to plunge

a fractionally integrated autoregressive moving average approach to forecasting tourism demand the primary aim of this paper is to incorporate fractionally integrated arma p d q arfima models into tourism forecasting and to compare the accuracy of forecasts with those obtained by previous studies the models are estimated using the volume of monthly international tourist arrivals in singapore empirical findings demonstrate the evidence that the approach we propose generates relatively lower sample mean absolute percentage errors mapes this study also deals with the volatile data faced by a forecaster we use the asian financial crisis and the september 11 event as examples of economic and political shocks with respect to the objective of shaving the coefficient mape forecasts based on the selected arfima models dominate convincingly

s p 100 index option volatility using transaction data on the s p 100 index options we study the effect of valuation simplifications that are commonplace in previous research on the timeseries properties of implied market volatility using an american style algorithm that accounts for the discrete nature of the dividends on the s p 100 index we find that spurious negative serial correlation in implied volatility changes is induced by nonsimultaneously observing the option price and the index level negative serial correlation is also induced by a bid ask price effect if a single option is used to estimate implied volatility in addition we find that these same effects induce spurious and unreasonable negative cross correlations between the changes in call and put implied volatility an important area of current research is the estimation and behavior of market volatility implied by option pricing models for example stein 1989 concludes that the s p 100 index option market is inefficient because longer term options overreact to changes in the implied volatility of short maturity options day and lewis 1988 document an increase in volatility around the quarterly expiration cycle schwert 1990 draws conclusions about the behavior of volatility around the stock market crash of 1987 by using implied volatility all of these studies use a simplified option pricing framework to estimate implied market volatility previous research generally assumes that the s p 100 index option is european style this option is actually american style it is also common to assume that the dividend yield is constant the dividends are not constant and exhibit distinct seasonal patterns harvey and whaley 1991b show that large pricing errors can be induced in the option prices if the american feature and the discrete dividends are ignored option pricing errors translate into errors in the implied volatility estimates this paper uses s p 100 index call and put transactions and an american style option pricing model with the exact discrete dividend series to calculate a time series of implied volatilities this valuation method

forecasting stock return variance toward an understanding of stochastic implied volatilities we examine the behavior of measured variances from the options market and the underlying stock market under the joint hypotheses that markets are informationally efficient and that option prices are explained by a particular asset pricing model forecasts from time series models of the stockreturn process should not have predictive content given the market forecast as embodied in option prices both in sample and out of sample tests suggest that this hypothesis can be rejected using simulations we show that biases inherent in the procedure we use to imply variances cannot explain this result thus we provide evidence inconsistent with the orthogonality restrictions of option pricing models that assume that variance risk is unpriced these results also have implicationsfor optimal variance forecast rules

overreactions in the options market this paper examines the term structure of options implied volatilities using data on s p 100 index options because implied volatility is strongly mean reverting the implied volatility on a longer maturity option should move by less than one percent in response to a one percent move in the implied volatility of a shorter maturity option empirically this elasticity turns out to be larger than suggested by rational expectations theory long maturity options tend to overreact to changes in the implied volatility of short maturity options are investors rational do they behave like bayesian statisticians when it comes to incorporating new information into asset prices proponents of the efficient markets hypothesis would answer this question in the affirmative many others however believe that bayesian rationality is a poor description of investor behavior and that as a consequence asset prices tend to be informationally inefficient one way in which inefficiencies might arise is through the overreactions of traders to the arrival of new information 1 this possibility is raised by experimental and survey findings which indicate that people have a systematic tendency to overemphasize recent data at the expense of other information when making projections 2 the objective of this paper is to search for evidence of such overreactive behavior in a semingly peculiar place the options market options may appear to be unlikely candidates for overreaction because unlike primary securities their prices are closely tied down by arbitrage considerations as black and scholes 1973 demonstrate if stock price volatility is known options prices are completely determined any deviation from the prescribed value implies a riskless profit opportunity however given that volatility is in fact unknown and changing options do retain something of an independent nature not wholly redundant with their underlying stocks options can be thought of as reflecting a speculative market in volatility the implied volatility on a given option obtained by inverting a

estimation methods for stochastic volatility models a survey abstract although stochastic volatility sv models have an intuitive appeal their empirical application has been limited mainly due to difficulties involved in their estimation the main problem is that the likelihood function is hard to evaluate however recently several new estimation methods have been introduced and the literature on sv models has grown substantially in this article we review this literature we describe the main estimators of the parameters and the underlying volatilities focusing on their advantages and limitations both from the theoretical and empirical point of view we complete the survey with an application of the most important procedures to the s p 500 stock price index

basic attributes of trade and environment what do the numbers tell us abstract this paper analyzes 79 categorical case studies in trade and the environment to determine basic attributes of the field it intends to describe these attributes organized into four intellectual clusters in order to set some basic standards for measuring trends and making initial quantitative generalizations about policy in the trade and environment field this general review and categorization is a necessary step in the development of any field of study and absolutely critical to building a basis for cumulative research and advancement of knowledge the findings suggest that the data mirror general beliefs about trade and environment with respect to the types of problems actors involved remedies industries and other key attributes notably the findings highlight the difference between process and product in environmental cases and the relation between rich and poor countries in trade and environment issues

statistical inference for random variance option pricing this article deals with the estimation of continuous time stochastic volatility models of option pricing we argue that option prices are much more informative about the parameters than are asset prices this is confirmed in a monte carlo experiment that compares two very simple strategies based on the different information sets both approaches are based on indirect inference and avoid any discretization bias by simulating the continuous time model we assume an ornstein uhlenbeck process for the log of the volatility a zero volatility risk premium and no leverage effect we do not pursue asymptotic efficiency or specification issues rather we stick to a framework with no overidentifying restrictions and show that given our option pricing model estimation based on option prices is much more precise in samples of typical size without increasing the computational burden

evolution of market uncertainty around earnings announcements abstract this paper investigates theoretically and empirically the dynamics of the implied volatility or implied standard deviation isd around earnings announcements dates the volatility implied by option prices can be interpreted as the level of volatility expected by the market over the remaining life of the option we propose a theoretical framework for the evolution of the isd that takes into account two well known features of the instantaneous volatility volatility clustering and the leverage effect in this context the isd should decrease after an earnings announcement but the post announcement isd path depends on the content of the earnings announcement good news or bad news an empirical investigation is conducted on the swiss market over the period 1989 1998

analysis of the term structure of implied volatilities from various empirical work it is well known that the volatility of asset returns changes over time this might be one of the reasons that implied volatilities differ for options that only differ in time to maturity we construct models for the relation between short and long term implied volatilities based on three different assumptions of stock return volatility behavior i e mean reverting garch and egarch models we test these relations on option price data and conclude that egarch gives the best description of asset prices and the term structure of options implied volatilities

tourism forecasting and the policymaker criteria of usefulness abstract this article is a sequel to one by the author in the september 1982 issue of tourism management in which the question of what futures research could contribute to tourism policy was raised here the subject is explored further and a comparison of various forecasting techniques is used to investigate how far forecasting is and could be useful in supporting tourism policies

modelling and forecasting australian domestic tourism abstract in this paper we model and forecast australian domestic tourism demand we use a regression framework to estimate important economic relationships for domestic tourism demand we also identify the impact of world events such as the 2000 sydney olympics and the 2002 bali bombings on australian domestic tourism to explore the time series nature of the data we use innovations state space models to forecast domestic tourism demand combining these two frameworks we build innovations state space models with exogenous variables these models are able to capture the time series dynamics in the data as well as economic and other relationships we show that these models outperform alternative approaches for short term forecasting and also produce sensible long term forecasts the forecasts are compared with the official australian government forecasts which are found to be more optimistic than our forecasts

predictable dynamics in implied volatility surfaces from otc currency options recent empirical studies report predictable dynamics in the volatility surfaces that are implied by observed index option prices such as those prescribed by general equilibrium models using an extensive data set from the over the counter options market we document similar predictability in the factors that capture the daily variation of surfaces implied by options on 25 different foreign exchange rates we proceed to demonstrate that simple vector autoregressive specifications for the factors can help produce accurate out of sample forecasts of the systematic component of the surface at short horizons profitable delta hedged positions can be set up based on these forecasts however profits disappear when typical transaction costs are taken into account and when trading rules on wide segments of the surface are sought

portfolio insurance gap risk under conditional multiples abstract the research on financial portfolio optimization has been originally developed by markowitz 1952 it has been further extended in many directions among them the portfolio insurance theory introduced by leland and rubinstein 1976 for the option based portfolio insurance obpi and perold 1986 for the constant proportion portfolio insurance method cppi the recent financial crisis has dramatically emphasized the interest of such portfolio strategies this paper examines the cppi method when the multiple is allowed to vary over time to control the risk of such portfolio management a quantile approach is introduced together with expected shortfall criteria in this framework we provide explicit upper bounds on the multiple as function of past asset returns and volatilities these values can be statistically estimated from financial data using for example arch type models we show how the multiple can be chosen in order to satisfy the guarantee condition at a given level of probability and for various financial market conditions

option pricing when the variance is changing the monte carlo method is used to solve for the price of a call when the variance is changing stochastically

stochastic volatility movements in short term interest rates and bond option values abstract two classes of models for pricing interest rate contingent claims are compared the first contains standard single factor models while the second includes stochastic volatility variants of these it is demonstrated that incorporating stochastic volatility significantly improves the ability of the models to fit movements in short term interest rates the fundamental reason for this is that standard univariate models do not generate enough conditional heteroskedasticity the models are also compared on the basis of bond option prices when each is constrained to fit a particular yield curve the results suggest that stochastic volatility models will typically produce lower option values than corresponding single factor models particularly for near the money to deep out of the money options this is because estimated historical volatilities are significantly lower under stochastic volatility when single factor models are constrained to the same level of volatility as implied by stochastic volatility models in most cases the pricing differences become minor

risk inflation and the stock market most explanations for the decline in share values over the past two decades have focused on the concurrent increase in inflation this paper considers an alternative explanation a substantial increase in the riskiness of capital investments we show that the variance of firms real gross marginal return on capital has increased significantly increasing the relative riskiness of investors returns on equity and that this can explain a large part of the market decline we also assess the effects of increase in the mean and variance of the inflation rate and a decline in firms expected return on capital this abstract was borrowed from another version of this item this abstract was borrowed from another version of this item this abstract was borrowed from another version of this item this abstract was borrowed from another version of this item this abstract was borrowed from another version of this item this abstract was borrowed from another version of this item this abstract was borrowed from another version of this item this abstract was borrowed from another version of this item this abstract was borrowed from another version of this item this abstract was borrowed from another version of this item this abstract was borrowed from another version of this item this abstract was borrowed from another version of this item this abstract was borrowed from another version of this item this abstract was borrowed from another version of this item this abstract was borrowed from another version of this item this abstract was borrowed from another version of this item this abstract was borrowed from another version of this item this abstract was borrowed from another version of this item

conditional volatility and the informational efficiency of the phlx currency options market abstract the relative performance of implied and historical volatility predictors is compared for four exchange rates from 1985 to 1991 for three currencies arch models estimated up to 1989 show that phlx implied volatilities provide specifications for daily conditional variances which can not be significantly improved by using past returns this result is consistent with the informational efficiency of the philadelphia currency options market out of sample forecasts of the average volatility over four week periods are evaluated for 1990 and 1991 once more the implied predictors are superior to historical predictors

forecasting tourism demand with arma based methods abstract the forecast of tourism volume in the form of arrivals is of special importance for tourism and other hospitality industries because it is an indicator of future demand thereby providing basic information for subsequent planning and policy making in this paper three univariate arma based models are applied to tourism demand as represented by the number of world wide visitors to hong kong japan korea taiwan singapore thailand the philippines australia and new zealand the study employs both monthly and quarterly time series generated from nine principal tourist destinations in asian pacific region in the forecasting exercise to ensure the reliability of the forecasting evaluation forecasting performance based on disaggregated arrival series in a particular destination is examined as well the general impression is that the arma based models perform very well and in some cases the magnitude of mean absolute percentage error is lower than 2 level

back propagation learning in improving the accuracy of neural network based tourism demand forecasting abstract traditional tourism demand forecasting techniques concentrate predominantly on multivariate regression models and univariate time series models these single mathematical function based forecasting techniques although they have achieved a certain degree of success in tourism forecasting are unable to represent the relationship of demand for tourism as accurate as a multiprocessing node based feed forward neural network previous research has demonstrated that using a feed forward neural network can accomplish a higher forecasting accuracy than the regression and time series techniques for a set of linearly separable tourism demand data this research extends the applicability of neural networks in tourism demand forecasting by incorporating the back propagation learning process into a non linearly separable tourism demand data empirical results indicate that utilizing a back propagation neural network outperforms regression models time series models and feed forward neural networks in terms of forecasting accuracy

the persistence of volatility and stock market fluctuations this paper examines the potential influence of changing volatility in stock market prices on the level of stock market prices it demonstrates that volatility is only weakly serially correlated implying that shocks to volatility do not persist these shocks can therefore have only a small impact on stockmarket prices since changes in volatility affect expected required rates of return for relatively short intervals these findings lead us to be skeptical of recent claims that the stock market s poor performance during the 1970 s can be explained by volatility induced increases in risk premia this abstract was borrowed from another version of this item this abstract was borrowed from another version of this item this abstract was borrowed from another version of this item this abstract was borrowed from another version of this item this abstract was borrowed from another version of this item this abstract was borrowed from another version of this item this abstract was borrowed from another version of this item this abstract was borrowed from another version of this item this abstract was borrowed from another version of this item this abstract was borrowed from another version of this item this abstract was borrowed from another version of this item this abstract was borrowed from another version of this item this abstract was borrowed from another version of this item this abstract was borrowed from another version of this item this abstract was borrowed from another version of this item this abstract was borrowed from another version of this item this abstract was borrowed from another version of this item this abstract was borrowed from another version of this item

a non structural investigation of vix risk neutral density abstract we propose a non structural method to retrieve the risk neutral density rnd implied by options on the cboe volatility index vix the methodology is based on orthogonal polynomial expansions around a kernel density and yields the rnd of the underlying asset without the need for a parametric specification the classic family of laguerre expansions is extended to include the gig and the generalized weibull kernels we show that orthogonal polynomial expansions yield accurate approximations of the rnd of vix and they generally outperform commonly used non parametric methods when controlling for accuracy based on a panel of observed vix options we retrieve the variance swap term structure the time series of vvix the vix risk neutral moments and the volatility at risk which reveal a number of stylized facts on the rnd of vix

option values under stochastic volatility theory and empirical estimates abstract this paper numerically solves the call option valuation problem given a fairly general continuous stochastic process for return volatility statistical estimators for volatility process parameters are derived and parameter estimates are calculated for several individual stocks and indices the resulting estimated option values do not differ dramatically from black scholes values in most cases although there is some evidence that for longer maturity index options black scholes overvalues out of the money calls in relation to in the money calls

unspanned stochastic volatility in affine models evidence from eurodollar futures and options unspanned stochastic volatility usv refers to the inability of bonds to replicate volatility sensitive derivative securities affine term structure models require special restrictions on the parameters to exhibit usv we use a joint eurodollar futures and options data set to estimate affine three factor models with and without usv restrictions the unrestricted model captures prices of futures and options well option pricing errors are much larger in the usv model the usv model is rejected in favor of the unrestricted model based on the likelihood ratio and wald tests we use the implications of the unrestricted model as a benchmark for understanding the extant evidence that favors usv specifically we replicate extant tests in samples simulated from the unrestricted model we show that none of the existing findings contradict the model without usv restrictions

the creation and resolution of market uncertainty the impact of information releases on implied volatility we model and examine the impact of information releases on market uncertainty as mea sured by the implied standard deviation isd from option markets distinguishing between scheduled and unscheduled announcements we hypothesize that since the timing although not the content of scheduled announcements is known a priori the pre release isd will impound the anticipated impact of important releases on price volatility and that the isd will normally decline post release as this uncertainty is resolved conversely we hypothesize that the unexpected high volatility caused by major unscheduled releases will cause market participants to adjust upward their estimates of likely volatility over the remaining life of the option resulting in an increase in the isd our evidence supports both hypotheses the isds that we consider are from the t bond eurodollar and deutschemark options markets we examine scheduled macroeconomic news releases such as the employment report and the ppi we also find that the observed tendency for the isd to fall on fridays and rise on mondays is due to the weekday pattern of scheduled news releases

tourism forecasting to combine or not to combine abstract existing non tourism related literature shows that forecast combination can improve forecasting accuracy this study tests this proposition in the tourism context by examining the efficiency of combining forecasts based on three different combination methods the data used for this study relate to tourist arrivals in hong kong from the top ten tourism generating countries regions the forecasts are derived from four different forecasting models autoregressive integrated moving average arima model autoregressive distributed lag model adlm error correction model ecm and vector autoregressive var model all forecasts are ex post and the empirical results show that the relative performance of combination versus single model forecasts varies according to the origin destination tourist flow under consideration which parallels previous findings regarding the relative performance of individual forecasting methods the results also vary with the combination techniques used furthermore although the combined forecasts do not always outperform the best single model forecasts almost all the combined forecasts are not outperformed by the worst single model forecasts this suggests that forecast combination can considerably reduce the risk of forecasting failure this conclusion also implies that combined forecasts are likely to be preferred to single model forecasts in many practical situations

the surface of implied firm s asset volatility abstract this paper analyzes the surface of cds implied firm s asset volatility at the aggregate market level using a sample of european investment grade firms during the 2007 2014 period the term structure of asset implied volatilities is backed out from the term structure of cds spreads while the moneyness dimension is proxied by the ratio of the default barrier to asset value we find both a downward sloping term structure and a negative skew principal component analysis on the entire volatility surface shows that the first four components interpreted as a level a term structure a skew and a moneyness related curvature mode capture 86 of the daily variation in asset implied volatility we also find that the term structure slope is related to market and funding illiquidity investors risk aversion informational frictions demand supply factors and momentum

option arbitrage and strategy with large price changes abstract arbitrage pricing theorems are derived for options on stocks with jumps as a well as local movements the resulting valuation formulas depend on observable variables only closed form valuation expressions are obtained in the case of large positive and negative jumps these results translate into a simple algebra for characterizing the risk of arbitrage and investment portfolios a continuous time formulation of the infinite variance hypothesis leads to isomorphic pricing expressions

variances of security price returns based on high low and closing prices in a recent paper garman and klass 1980 studied the problem of estimating capital asset price volatility parameters developing an idea first introduced by parkinson 1980 they argue that improved volatility measures can be obtained by taking into account the daily high low and opening prices in addition to the traditionally used closing prices this paper is concerned mainly with testing the empirical validity of different volatility estimators based on high low and closing prices

information quality and options microstructure researchers have long understood that information quality has an effect on price formation in the underlying asset market however option researchers have largely ignored the fact that information quality might also impact the options market this article characterizes the nature of the impact by showing how option prices and implied volatility levels are related to the forward looking information quality path this result follows from a noisy rational expectations model that abandons the normal distribution in favor of the gamma distribution but maintains the standard assumption of exponential utility thus the new model bridges the gap between the microstructure literature that relies so heavily on the normal exponential framework and the options literature that relies exclusively on models that are consistent with the limited liability of stock prices the model s tractability allows for a robustness check against the standard framework and provides a viable setting for analyzing the empirical implications of information quality for the options market jel d8 gl

parametric and semi parametric modelling of vacation expenditures we analyse several limited dependent variable models explaining the budget share that dutch families spend on vacations to take account of the substantial number of zero shares two types of models are used the first is the single equation censored regression model we estimate and test several parametric and semi parametric extensions of the tobit model second we consider two equation models in which the participation decision and the decision on the amount to spend are treated separately the first decision is modelled as a binary choice model the second as a conditional regression we estimate and test parametric and semi parametric specifications

american option pricing under garch by a markov chain approximation abstract we propose a numerical method for valuing american options in general and for the garch option pricing model in particular the method is based on approximating the underlying asset price process by a finite state time homogeneous markov chain since the markov transition probability matrix can be derived analytically the price of an american option can be computed by simple matrix operations the markov transition probability matrix is typically sparse the use of a sparse matrix representation can substantially increase the dimension of the markov chain to obtain better numerical results the markov chain method works well for the garch option pricing framework and it serves as an alternative to the existing numerical methods for the valuation of american options in other pricing settings we provide a convergence proof for the markov chain method and analyze its numerical performance for the black scholes 1973 and garch option pricing models

valuation of american futures options theory and empirical tests this paper reviews the theory of futures option pricing and tests the valuation principles on transaction prices from the s p 500 equity futures option market the american futures option valuation equations are shown to generate mispricing errors which are systematically related to the degree the option is in the money and to the option s time to expiration the models are also shown to generate abnormal risk adjusted rates of return after transaction costs the joint hypothesis that the american futures option pricing models are correctly specified and that the s p 500 futures option market is efficient is refuted at least for the sample period january 28 1983 through december 30 1983 futures option contracts now trade on every major futures exchange and on a wide variety of underlying futures contracts the chicago mercantile exchange the chicago board of trade the new york futures exchange and the commodity exchange now collectively have more than twenty options written on futures contracts where the underlying spot commodities are financial assets such as stock portfolios bonds notes and eurodollars foreign currencies such as west german marks swiss francs and british pounds precious metals such as gold and silver livestock commodities such as cattle and hogs and agricultural commodities such as corn and soybeans moreover new contract applications are before the commodity futures trading commission and should be actively trading in the near future with the markets for these new contingent claims becoming increasingly active it is appropriate that the fundamentals of futures option valuation be reviewed and tested black 5 provides a framework for the analysis of commodity futures options although his work is explicitly directed at pricing european options on forward contracts it applies to european futures contracts as well if the riskless rate of interest is constant during the futures option life 1 the options currently

impacts of tariff escalation on the environment literature review and synthesis abstract writers on trade and environment often claim that tariff escalation harms the environment it skews exports toward raw materials and away from processed goods so to the extent that primary production degrades the environment more than processing it will harm exporting countries this paper reviews the literature on tariff escalation and the environment focusing on 1 a impact of escalating tariffs on the allocation of production and processing between exporters and importers 2 b comparison of the environmental impacts of primary production and processing 3 c impact of increased income from removing tariff escalation on environmental protection expenditures 4 d environmental impact of decreased transport of freight it concludes that tariff escalation is not likely to be a significant source either of economic distortion or of environmental harm

misreaction or misspecification a re examination of volatility anomalies abstract existing research examines the impact of volatility shocks on the relative pricing of long term vs short term options and documents patterns of short horizon underreaction and long horizon overreaction in the options market these studies however rely on implied volatilities derived from specific option pricing models and are thus subject to model specification errors in this paper we show that these anomalous patterns are the result of model misspecification as opposed to market misreaction we provide evidence that these patterns are consistent with in both direction and magnitude inherent biases in the misspecified models we also apply a model free approach to re examine the anomalous patterns and find no evidence of market misreaction

stock returns and volatility most asset pricing models postulate a positive relationship between a stock portfolio s expected returns and risk which is often modeled by the variance of the asset price this paper uses garch in mean models to examine the relationship between mean returns on a stock portfolio and its conditional variance or standard deviation after estimating a variety of models from daily and monthly portfolio return data we conclude that any relationship between mean returns and own variance or standard deviation is weak the results suggest that investors consider some other risk measure to be more important than the variance of portfolio returns