variations in trading volume return volatility and trading costs evidence on recent price formation models patterns in stock market trading volume trading costs and return volatility are examined using new york stock exchange data from 1988 intraday test results indicate that for actively traded firms trading volume adverse selection costs and return volatility are higher in the first half hour of the day this evidence is inconsistent with the admati and pfleiderer 1988 model which predicts that trading costs are low when volume and return volatility are high interday test results show that for actively traded firms trading volume is low and adverse selection costs are high on monday which is consistent with the predictions of the foster and viswanathan 1990 model academics investors and regulators alike are now intensively focused upon understanding the volatility of asset returns and its relation to trading volume this interest was undoubtedly piqued by the market break of october 1987 a time during which volatility and trading volume reached unprecedented levels but even beforehand researchers observed regular differences in the return process for various hours of the day and days of the week research concerning temporal patterns in stock market volatility and volume falls in two groups studies that document observed patterns and studies that develop models to predict patterns among the studies in the first group are oldfield and rogalski 1980 french and roll 1986 stoll and whaley 1990 harris 1986 and wood mcinish and ord 1985 who report evidence on seasonalities in daily and weekly return variances among the regularities that have been documented using interday data is that volatility is higher when the market is open than when it is closed oldfield and rogalski 1980 french and roll 1986 and stoll and whaley 1990 for example point out significant differences in return volatility between trading

understanding reference price shoppers a within and cross category analysis abstract the authors attempt to draw profiles of reference price shoppers specifically the authors study how selected factors that affect brand choice are correlated with consumer sensitivity to gains and losses with respect to internal reference prices they also study the interaction between sociodemographics and gain and loss sensitivity furthermore the authors analyze cross category correlations in gain and loss sensitivity to shed light on their individual and category specific characters in three categories the results show significant heterogeneity in loss sensitivity among consumers and indicate that loss sensitivity is greater and more heterogeneous than gain sensitivity across categories the results show that loss sensitive shoppers are less influenced by past brand use and that both loss and gain sensitive shoppers more sensitive to price display and feature than the average consumer loss sensitive households tend to be larger and their heads are less likely to be fully employed

day of the week effects and asset returns the number of empirical studies using daily stock returns is rapidly increasing researchers generally assume that the distribution of stock returns is identical for all days of the week a convenient statistical assumption but not a necessary condition of market equilibrium nevertheless there are reasons to suspect that the distribution of returns may vary according to the day of the week the most obvious is the impact of weekends on monday s return since monday s return is calculated over three instead of one calender day the mean and variance may well be higher on monday compared with any other daily return perhaps three times as large previous research has examined the daily distribution of stock returns for a monday effect while fama 1965 does not compare daily mean returns he does report that monday s variance is about 20o greater than other daily returns with a traditional distributional assumption regarding the returns on a financial asset specifies that the expected returns are identical for all days of the week contrary to this plausible assumption this paper discovers that the expected returns on common stocks and treasury bills are not constant across days of the week the most notable evidence is for monday s returns where the mean is unusually low or even negative several explanations of the results are investigated but none proves satisfactory aside from documenting significant day of the week effects the implications of the results for tests of market efficiency are examined while market adjusted returns continue to exhibit day of the week effects these effects are no longer concentrated on monday during the last year we have had many conversations with our colleagues throughout the professions we are particularly thankful to the participants at sessions of the western and american finance associations where preliminary versions of this paper were presented special thanks are due to gene fama gailen hite jon ingersoll robert jarrow merton miller clifford smith and rex thompson the expert research assistance of frank rabinovitch and youngsup yun is gratefully acknowledged 1 the list of papers using daily stock returns is too long to name recent examples include charest 1978 dodd 1980 banz 1981 and reinganum 1981

preference heterogeneity and asset prices an exact solution abstract we introduce a general equilibrium model of a multi agent pure exchange economy and find a set of conditions that enable us to obtain explicit closed form solutions to the equilibrium interest rate stock price risk premium and stock market volatility when investors have heterogenous risk aversions because the market is dynamically complete full risk sharing obtains and a representative agent can be constructed though the risk aversion of this agent fluctuates over time with the state of the economy as the relative wealth distribution of the individual investors changes we show that preference heterogeneity can cause asset prices to be significantly more volatile than the underlying dividends and that it can lead to leverage like effects in volatility in the sense that volatility increases after stock market declines

am i getting a good deal reference dependentdecision making when the reference price is uncertain models of consumer decision making commonly incorporate reference dependent preferences in these models the reference point is typically assumed to be known by the consumer however research on price recall and the reference formation process reveals that the reference price is often uncertain at the time of purchase reference price uncertainty creates ambiguity for the consumer about whether they are getting a good or bad deal this paper develops a model of consumer choice in the presence of reference dependent preferences when the reference price is uncertain data from two empirical studies that vary the product category and order of the elicitation of reference prices show that the new model generally outperforms conventional discrete choice models that either ignore reference prices or treat reference prices as certain the new model provides insights into the effect of reducing reference price uncertainty on consumer choice and reveals that high uncertainty smoothes the kink in the demand curve that is present in traditional reference price demand models

linking loss aversion and present bias with overspending behavior of tourists insights from a lab in the field experiment abstract building upon prospect theory and hyperbolic time discounting models we explore how behavioral factors influence the probability of overspending among outbound leisure travelers we construct our data in two steps first we collect demographics and travel related variables from a random sample of 314 singaporean tourists across different age groups and income levels second we conduct a field experiment to measure their risk and time preferences specifically loss aversion and present bias we then explore the link between the measured preferences to overspending behavior the findings reveal an interesting link between loss aversion present bias and traveling expenditure patterns outbound tourists with high loss aversion and high present bias are more likely to overspend finally our study also highlights the role of group identity in de biasing specifically individuals are more likely to behave according to standard economic models when making decisions in groups

a factor analytic probit model for representing the market structure in panel data internal market structure analysis infers both brand attributes and consumer preferences for those attributes from preference or choice data the authors exploit a new method for estimating probit models from panel data to infer market structures that can be displayed in few dimensions even though the model can represent every possible vector of purchase probabilities

returns and option activity over the option expiration week for s p 100 stocks abstract for s p 100 stocks we find that the weekly returns over option expiration oe weeks a month s third friday week tend to be high relative to 1 the third friday weekly returns of other stocks with less option activity 2 the own stock s other weekly returns 3 the risk based on asset pricing alphas for these same stocks a month s fourth friday weekly returns underperform modestly we suggest the following two avenues are likely partial contributors towards understanding these return patterns 1 delta hedge rebalancing by option market makers with a reduction in short stock hedge positions over the oe week and 2 declining risk perceptions over the oe week as measured by option derived implied volatilities our findings suggest option activity can induce reliable patterns in the weekly returns of option active large cap stocks

a probabilistic choice model for market segmentation and elasticity structure marketing scholars commonly characterize market structure by studying the patterns of substitution implied by brand switching though the approach is useful it typically ignores the destabilizing

promotion signal proxy for a price cut evidence suggests that some consumers react to promotion signals without considering relative price information we adopt petty and cacioppo s elaboration likelihood model elm to explain this behavior in terms of the elm s peripheral route to persuasion in which the promotion signal is taken as a cue for a price cut experimental results show that low need for cognition individuals react to the simple presence of a promotion signal whether or not the price of the promoted brand is reduced but that high need for cognition individuals react to a promotion signal only when it is accompanied by a substantive price reduction

a new look at the monday effect it is well documented that expected stock returns vary with the day of the week the monday or weekend effect in this article we show that the well known monday effect occurs primarily in the last two weeks fourth and fifth weeks of the month in addition the mean monday return of the first three weeks of the month is not significantly different from zero this result holds for most of the subperiods during the 1962 1993 sampling period and for various stock return indexes the monthly effect reported by ariel 1987 and lakonishok and smidt 1988 cannot fully explain this phenomenon

a reference price theory of the endowment effect abstract the common finding that selling prices exceed buying prices the so called endowment effect is typically explained by the assumptions that consumers evaluate potential transactions with respect to their current holdings and that the owners of a good regard its potential loss to be more significant than nonowners regard its potential acquisition in contrast to this pain of losing account the authors propose that the endowment effect reflects a reluctance to trade on terms that appear unfavorable with respect to salient reference prices in six experiments and eight more summarized in appendixes the authors show that manipulations that reduce the gap between valuations and reference prices reduce or eliminate the endowment effect these results suggest that the endowment effect is often best construed as an aversion to bad deals rather than an aversion to losing possessions

asymmetric information and options in an extension of the kyle 1985 model of continuous insider trading it is shown that asymmetric information can make it impossible to price options by arbitrage even when an option would appear to be redundant its introduction into the market can cause the volatility of the underlying asset to become stochastic this eliminates the potential for dynamically replicating the option the change in the price process of the asset reflects a change in the information transmitted by volume and prices when the option is traded article published by oxford university press on behalf of the society for financial studies in its journal the review of financial studies

trading mechanisms and stock returns an empirical investigation this paper examines the effects of the mechanism by which securities are traded on their price behavior we compare the behavior of open to open and close to close returns on nyse stocks given the differences in execution methods applied in the opening and closing transactions opening returns are found to exhibit greater dispersion greater deviations from normality and a more negative and significant autocorrelation pattern than closing returns we study the effects of the bid ask spread and the price adjustment process on the estimated return variances and covariances and discuss the associated biases we conclude that the trading mechanism has a significant effect on stock price behavior

quantity discount dependent consumer preferences and competitive nonlinear pricing abstract producers of consumer packaged goods often offer several package sizes of the same product and charge a lower unit price for a larger size in this article the authors investigate the quantity discount effect or the phenomenon that consumers derive transaction utility from the unit price difference between a small and a large package size of the same product the authors propose a modeling framework composed of a demand side model and a supply side model the empirical results suggest that quantity discount induced gains or losses have a significant impact on consumer buying behavior the authors also find a substantial amount of structural heterogeneity that is some consumers perceive quantity discounts as gains whereas others perceive quantity discounts as losses conversely the supply side analysis suggests that manufacturers in the empirical application do not consider quantity discount effects when setting prices through a series of policy experiments the authors show that by accou

looking for loss aversion in scanner panel data the confounding effect of price response heterogeneity recent work in marketing has drawn on behavioral decision theory to advance the notion that consumers evaluate attributes and therefore choice alternatives not only in absolute terms but asdeviations from a reference point the theory has important substantive and practical implications for the timing and execution of price promotions and other marketing activities choice modelers using scanner panel data have tested for the presence of these reference effects in consumer response to an attribute such as price in applications of the theory of reference dependent choice tversky and kahneman 1991 some modelers report empirical evidence of loss aversion when a consumer encounters a price above his or her established reference point a loss the response is greater than for a price below the reference point a gain researchers have gone so far as to suggest that evidence for the so called reference effect make it an empirical generalization in marketing e g kalyanaram and winer 1995 meyer and johnson 1995 it is our contention that the measurement of loss aversion in empirical applications of the reference dependent choice model is confounded by the presence of unaccounted for heterogeneity in consumer price responsiveness our reasoning is that the kinked price response curve implied by loss aversion is confounded with the slopes of the response curves across segments that are differentially responsive to price a more price responsive consumer with a steeper response function tends to have a lower price level as a reference point this consumer faces a larger proportion of prices above his reference point thus the response curve is steeperin the domain of losses similarly the less price responsive consumer sees a greater proportion of prices below his reference point so the response curve is less steep within the domain of gains as a result any cross sectional estimate of loss aversion that does not take this into account will be biased upward researchers who do not control for heterogeneity in price responsiveness may arrive at incorrect substantive conclusions about the phenomenon it is interesting to note that in this instance failure to control for heterogeneity induces a bias infavor of finding an effect rather than the more typical case of attenuation of the effect toward zero we first test our assertion regarding the referencedependent model using scanner panel data on refrigerated orange juice and subsequently extend this analysis to 11 additional product categories in all cases we find as predicted that accounting for price response heterogeneity leads to lower and frequently nonsignificant estimates of loss aversion we do however find some categories in which the effect does not disappear altogether we also estimate loss aversion using a sticker shock model of brand choice in which the reference prices arebrand specific in line with the results of the majority of prior literature we find smaller and insignificant estimates of loss aversion in this model we show that this is because in the sticker shock model there is no apparent correlation between the price responsiveness of the consumer and the representation of reference effects as losses or gains our findings strongly suggest that loss aversion may not in fact be a universal phenomenon at least in the context of frequently purchased grocery products

the predictive power of implied volatility evidence from 35 futures markets abstract using data from 35 futures options markets from eight separate exchanges we test how well the implied volatilities ivs embedded in option prices predict subsequently realized volatility rv in the underlying futures we find that for this broad array of futures options iv performs well in a relative sense for a large majority of the commodities studied the implieds outperform historical volatility hv as a predictor of the subsequently rv in the underlying futures prices over the remaining life of the option indeed in most markets examined regardless of whether it is modeled as a simple moving average or in a garch framework hv contains no economically significant predictive information beyond what is already incorporated in iv these findings add to previous research that has focused on currency and crude oil futures by extending the analysis into a very broad array of contracts and exchanges our results are consistent with the hypothesis that futures options markets in general with their minimal trading frictions are efficient

risk returns and values in the presence of differential taxation abstract we show that there exist separate security market lines smls for debt and equity securities in an equilibrium with differential taxation of debt and equity we characterize the conditions under which these smls have the same price of risk with different intercepts and the conditions under which the tax effect of leverage is linear in debt value as in the adjusted present value method we explore the implications of our results for cost of capital calculations how to calculate the cost of capital for debt and equity and how to unlever betas correctly accounting for differential taxation

option volume and stock prices evidence on where informed traders trade this paper investigates the informational role of transactions volume in options markets we develop an asymmetric information model in which informed traders may trade in option or equity markets we show conditions under which informed traders trade options and we investigate the implications of this for the linkage between markets our model predicts an important informational role for the volume of particular types of option trades we empirically test our model s hypotheses with intraday option data our main empirical result is that negative and positive option volumes contain information about future stock prices the information content of trading activity is a subject of widespread interest if trades are correlated with private information then the outcome of the transaction process may portend future movements in price the extension of trading to different venues or to derivative instruments however means that this link between transactions and information need not be easily discernible if there are alternative markets in which informed traders can profit from their information then where informed traders choose to trade may have important implications not only for security p rice movements but for the behavior of related prices as well this suggests that transactions in derivative markets may be an important predictor of future security price movements in this paper we investigate the informational role of transactions volume in options markets for some readers this focus may seem puzzling an option is a derivative security so its price should be dictated unilaterally by the behavior of the stock price this unidirectional linkage is only true however in complete markets if information is impounded into prices by trading then the ability of informed traders to transact in options markets mearns

the impact of heterogeneity in purchase timing and price responsiveness on estimates of sticker shock effects the notion that individuals have an internal reference price against which they compare observed prices is well supported by several psychological theories empirically several papers in the marketing literature employing scanner panel data have modeled the impact of reference prices on brand choice via the sticker shock formulation in which consumers evaluate choice alternatives using differences between shelf prices and reference prices most of the studies reported thus far have not accounted for heterogeneity in price response among consumers and have typically imputed reference prices from the shelf prices of brands that a consumer is supposed to have observed on previous purchases in the category since category marketing activity can differentially affect the purchase timing of households we argue that this measure of reference price may follow certain systematic patterns across consumers and when combined with unaccounted for price response heterogeneity may result in a spurious sticker shock effect specifically we show that estimates of sticker shock are biased upward if households that are price sensitive in the brand choice decision are also more responsive to category promotion activity in their purchase timing decision we discuss some general conditions under which the bias occurs and conduct a simulation experiment to confirm our specific hypotheses our simulation results show that changes in purchase timing are a critical determinant of the bias in the sticker shock effect we also show that unaccounted for price response heterogeneity can in itself result in a biased sticker shock parameter however this requires very large differences in price sensitivities across consumers far greater than what is normally observed we develop a hierarchical bayes version of the nested logit model which models heterogeneity via individual level parameters in a continuous random effects framework we estimate the model on scanner panel data from the yogurt and ketchup categories we find in both categories that the 95 probability interval of the posterior distribution of the mean sticker shock coefficient contains the value zero therefore at least for the data used in this study there is no evidence for the sticker shock effect at the aggregate level in contrast the corresponding coefficient from a standard model which ignores this heterogeneity is highly significant and supports the existence of a possibly spurious sticker shock effect consistent with our explanation of the underlying cause of the bias households that are more price sensitive in the choice decision are also found to be more responsive to category promotion activity in their decision to purchase in the category the results highlight the measurement problems associated with imputing reference prices from past prices since the frequency duration and price level of a retailer s promotional program depend on its size and prevalence accurate estimates of the sticker shock effect are essential for formulating optimal promotion strategies an adequate accounting of consumer heterogeneity is critical to this effort

decision making under uncertainty capturing dynamic brand choice processes in turbulent consumer goods markets we construct two models of the behavior of consumers in an environment where there is uncertainty about brand attributes in our models both usage experience and advertising exposure give consumers noisy signals about brand attributes consumers use these signals to update their expectations of brand attributes in a bayesian manner the two models are 1 a dynamic model with immediate utility maximization and 2 a dynamic forward looking model in which consumers maximize the expected present value of utility over a planning horizon given this theoretical framework we derive from the bayesian learning framework how brand choice probabilities depend on past usage experience and advertising exposures we then form likelihood functions for the models and estimate them on nielsen scanner data for detergent we find that the functional forms for experience and advertising effects that we derive from the bayesian learning framework fit the data very well relative to flexible ad hoc functional forms such as exponential smoothing and also perform better at out of sample prediction another finding is that in the context of consumer learning of product attributes although the forward looking model fits the data statistically better at conventional significance levels both models produce similar parameter estimates and policy implications our estimates indicate that consumers are risk averse with respect to variation in brand attributes which discourages them from buying unfamiliar brands using the estimated behavioral models we perform various scenario evaluations to find how changes in marketing strategy affect brand choice both in the short and long run a key finding obtained from the policy experiments is that advertising intensity has only weak short run effects but a strong cumulative effect in the long run the substantive content of the paper is potentially of interest to academics in marketing economics and decision sciences as well as product managers marketing research managers and analysts interested in studying the effectiveness of marketing mix strategies our paper will be of particular interest to those interested in the long run effects of advertising note that our estimation strategy requires us to specify explicit behavioral models of consumer choice behavior derive the implied relationships among choice probabilities past purchases and marketing mix variables and then estimate the behavioral parameters of each model such an estimation strategy is referred to as structural estimation and econometric models that are based explicitly on the consumer s maximization problem and whose parameters are parameters of the consumers utility functions or of their constraints are referred to as structural models a key benefit of the structural approach is its potential usefulness for policy evaluation the parameters of structural models are invariant to policy that is they do not change due to a change in the policy in contrast the parameters of reduced form brand choice models are in general functions of marketing strategy variables e g consumer response to price may depend on pricing policy as a result the predictions of reduced form models for the outcomes of policy experiments may be unreliable because in making the prediction one must assume that the model parameters are unaffected by the policy change since the agents in our models choose among many alternative brands their choice probabilities take the form of higher order integrals we employ monte carlo methods to approximate these integrals and estimate our models using simulated maximum likelihood estimation of the dynamic forward looking model also requires that a dynamic programming problem be solved in order to form the likelihood function for this we use a new approximation method based on simulation and interpolation techniques these estimation techniques may be of interest to researchers and policy makers in many fields where dynamic choice among discrete alternatives is important such as marketing decision sciences labor and health economics and industrial organization

modeling loss aversion and reference dependence effects on brand choice based upon a recently developed multiattribute generalization of prospect theory s value function tversky and kahneman 1991 we argue that consumer choice is influenced by the position of brands relative to multiattribute reference points and that consumers weigh losses from a reference point more than equivalent sized gains loss aversion we sketch implications of this model for understanding brand choice we develop a multinomial logit formulation of a reference dependent choice model calibrating it using scanner data in addition to providing better fit in both estimation and forecast periods than a standard multinomial logit model the model s coefficients demonstrate significant loss aversion as hypothesized we also discuss the implications of a reference dependent view of consumer choice for modeling brand choice demonstrate that loss aversion can account for asymmetric responses to changes in product characteristics and examine other implications for competitive strategy

private information trading volume and stock return variances new evidence is provided on the determinants of stock return variances first when the tokyo stock exchange is open on saturday the weekend variance increases weekly variance is unaffected however despite an increase in weekly volume second the listing of u s stocks in tokyo substantially increases the number of trading hours but tokyo volume is negligible for these u s stocks and their 24 hour variance is unaffected the overall results are consistent with the predictions of private information based rational trading models but inconsistent with both the irrational trading noise and public information hypotheses

semiparametric estimation of selection models some empirical results among the central theoretical developments in the econometric analysis of nonexperimental microeconomic data has been the analysis of selectivity bias following the work of james heckman 1974 statistical techniques were developed in the 1970s to consistently estimate the parameters of these models one potential drawback to the application of these techniques is their sensitivity to the assumed parametric distribution of the unobservable error terms in the model in recent years a number of estimation methods for selection models have been developed which do not impose parametric forms on error distributions these methods are termed semiparametric since only part of the model of interest the regression function is parametrically specified while the statistical theory of these semiparametric estimators has received much attention practical applications of the methods are lacking an exception being the paper by joel horowitz and george neumann 1987 in this paper we use semiparametric methods to reanalyze data on the labor supply of married women first studied by thomas mroz 1987 using parametric methods the object of this reanalysis is to determine whether mroz s results are sensitive to his parametric assumptions

the weekend effect on the distribution of stock prices abstract evidence of weekend effects on the distribution of security returns suggests that returns are generated by a process operating closer to trading time rather than calendar time in contrast accumulation of interest over the weekend follows a calendar time process since both the variance of returns and the interest rate are important parameters of the black scholes option pricing model this paper suggests that the model be stated to account for this by utilizing a trading time variance and a calendar time interest rate empirical evidence indicates that this allows the model to better explain market option prices

public information arrival we develop a measure of public information flow to financial markets and use it to document the patterns of information arrival with an emphasis on the intraday flows the measure is the number of news releases by reuter s news service per unit of time we find that public information arrival is nonconstant displaying seasonalities and distinct intraday patterns next we relate our measure of public information to aggregate measures of intraday market activity our results suggest a positive moderate relationship between public information and trading volume but an insignificant relationship with price volatility

equilibrium with investors using a diversity of deviation measures abstract it has been argued that investors who optimize their portfolios with attention paid only to mean and standard deviation will all end up choosing some multiple of a certain master fund portfolio justification for the capital asset pricing model of classical portfolio theory which relates individual assets to such a master fund has come from this direction in particular attempts have been made to provide solid mathematical support by showing that the imputed behavior of investors is a consequence of price equilibrium in a market in which assets are traded subject to budget constraints and optimization is carried out with respect to utility functions that depend only on mean and standard deviation in recent years reliance on standard deviation has come under increasing criticism because of inconsistencies in its effect on portfolio preferences one response has been to introduce generalized measures of deviation which lead to alternative master funds the market implications of such extensions of theory have hitherto been unclear but in this paper the existence of equilibrium is established in circumstances where nonstandard deviations are admitted equilibrium is guaranteed even when different investors use different measures of deviation and thereby end up with portfolios scaled from different master funds whether they employ the same measure or not they may impose caps on deviation which likewise may be different

the reference effects on a retailer s dynamic pricing and inventory strategies with strategic consumers we consider a retailer that sells the same or different versions of the product season after season at the beginning of each season stage 1 the retailer places an order and sells the product at the full price as the sales unfold the retailer has an opportunity to mark down the price stage 2 which creates an incentive for strategic consumers to delay their purchases for price discount however consumers do not know the markdown price exactly when they time their purchases instead they learn from the retailer s past prices and form their estimate of the markdown price called the reference price to decide if they purchase at the full price or wait for the markdown in the current selling season we characterize the properties of the optimal ordering and markdown decisions and show that markdowns if adopted appropriately do not necessarily destroy the stability of a business even in the presence of strategic consumers furthermore the consumers reference exhibits a mean reverting pattern under certain conditions that is the reference fluctuates around a mean value reflecting the practice of most stable businesses we conduct numerical studies to investigate the impact of consumer learning about the reference price and various system parameters on the retailer s optimal strategies and profitability in the presence of strategic consumers

arbitrage and martingales with taxation this paper extends the martingale analysis of no arbitrage pricing to worlds with taxation the absence of arbitrage is shown to imply the existence of different shadow prices for income streams that are subject to differing tax treatments for example no arbitrage implies the existence of different martingale measures for capita l gains and for ordinary income when they are differentially taxed andfor item s such as depreciation expenses that influence only after tax cash flows the analysis is applied to several topics in finance including the debt equity decision tax options and the taxation of dividends and pensions copyright 1987 by university of chicago press

the measurement of option mispricing abstract different studies have examined the ability of the black scholes option pricing model to estimate accurately market prices of publicly traded options and reached conflicting results this study examines commonly used ex ante measures of option mispricing finds that they can produce differing conclusions about option prices and develops an alternative measure for gauging option mispricing empirical analysis of returns to options selected using the various mispricing measures indicates that this new measure is more likely to detect mispricing and identify options that yield excess returns before commissions

the impact of overnight periods on option pricing this paper investigates the effect of closed overnight exchanges on option prices during the trading day asset prices follow the literature s standard affine model which allows asset prices to exhibit stochastic volatility and random jumps independently the overnight asset price process is modelled by a single jump we find that the overnight component reduces the variation in the random jump process significantly however neither the random jumps nor the overnight jumps alone are able to empirically describe all features of asset prices we conclude that both random jumps during the day and overnight jumps are important in explaining option prices where the latter account for about one quarter of total jump risk

comparative performance of the black scholes and roll geske whaley option pricing models the original black scholes bs 2 european call option pricing model does not take account of divided payments on the underlying stock and does not allow for the possibility of early exercise that may be optimal when the stock pays dividends black 1 has suggested that the original bs model can be modified to take account of dividends and sharpe 14 predicts that this modified or pseudo american bs approach while not exact is probably sufficient for many listed options

empirical generalizations from reference price research considerable theoretical justification for consumers use of psychological reference points exists from the research literature from a managerial perspective one of the most important applications of this concept is reference price an internal standard against which observed prices are compared in this paper we propose three empirical generalizations that are well supported in the marketing literature first there is ample evidence that consumers use reference prices in making brand choices second the empirical results on reference pricing also support the generalization that consumers rely on past prices as part of the reference price formation process third consistent with other research on loss aversion consumers have been found to be more sensitive to losses i e observed prices higher than reference prices than gains we also propose topics for further research on reference prices

the impact of public information on the stock market we study the relation between the number of news announcements reported daily by dow jones company and aggregate measures of securities market activity including trading volume and market returns we find that the number of dow jones announcements and market activity are directly related and that the results are robust to the addition of factors previously found to influence financial markets such as day of the week dummy variables news importance as proxied by large new york times headlines and major macroeconomic announcements and non information sources of market activity as measured by dividend capture and triple witching trading however the observed relation between news and market activity is not particularly strong and the patterns in news announcements do not explain the day of the week seasonalities in market activity our analysis of the dow jones database confirms the difficulty of linking volume and volatility to observed measures of information

a general equilibrium analysis of option and stock market interactions the traditional pricing methodology in finance values derivative securities as redundant assets that have no impact on equilibrium prices and allocations this paper demonstrates that when the market is incomplete primary and derivative asset markets generically interact the valuation of derivative and primary security prices depend on the contractual characteristics of the derivative assets available in a version of the mossin mean variance model the authors analyze an equilibrium in which a call option derivative asset is traded and the equilibrium stock price primary asset increases when the options market is opened copyright 1991 by economics department of the university of pennsylvania and the osaka university institute of social and economic research association

stock market structure and volatility the procedure for opening stocks on the nyse appears to affect price volatility an analytical framework for assessing the magnitude of the structurally induced volatility is presented the ratio of variance of open to open returns to closeto close returns is shown to be consistently greater than one for nyse common stocks during the period 1982 through 1986 tbe greater volatility at the open is not attributable to the way in which public information is released since both the opento open return and the close to close return span the same period of time instead the greater volatility appears to be attributable to private information revealed in trading and to temporaryprice deviations induced by specialist and other traders the implied cost of immediacy at the open is significantly higher than at the close other empirical evidence in this article documents the volume of trading at the open the time delays between the exchange opening and the first transaction in a stock the difference in daytime volatility versus overnight volatility and the extent to which volatility is related to trading volume

an empirical analysis of latitude of price acceptance in consumer package goods scanner panel data analyses for sweetened and unsweetened drink categories with four brands in each support the presence of a region of price insensitivity around a reference price the analyses also suggest that consumers with higher average reference price have a wider latitude of price acceptance consumers with a higher frequency of purchase i e shorter average interpurchase time interval are found to have a narrower latitude of price acceptance because they are more aware of the range of price distributions finally consumers with a higher average brand loyalty have a wider latitude of price acceptance demonstrating greater tolerance of price fluctuations

an investigation of transactions data for nyse stocks using transactions data the behavior of returns and characteristics of trades at the micro level is examined a minute by minute market return series is formed and tested for normality and autocorrelation evidence of differences in return distributions is found among overnight trades trades during the first 30 minutes following the market opening trades at the close and trades during the remainder of the day the latter distribution is found to be normal unusually high returns and standard deviations of returns are found at the beginning and the end of the trading day when the beginningand end of the day effects are omitted autocorrelation in the market return series is reduced substantially a number of patterns in trading are reported this paper empirically investigates the nature of the return generating process and the characteristics of trade size price changes trading frequency and trading interval at the level of individual trades for a large sample of nyse stocks previous studies of market indices have used daily weekly or monthly

the impact of trades on daily volatility this article proposes a trading based explanation for the asymmetric effect in daily volatility of individual stock returns previous studies propose two major hypotheses for this phenomenon leverage effect and time varying expected returns however leverage has no impact on asymmetric volatility at the daily frequency and moreover we observe asymmetric volatility for stocks with no leverage also expected returns may vary with the business cycle that is at a lower than daily frequency trading activity of contrarian and herding investors has a robust effect on the relationship between daily volatility and lagged return consistent with the predictions of the rational expectation models the non informational liquidity driven herding trades increase volatility following stock price declines and the informed contrarian trades reduce volatility following stock price increases the results are robust to different measures of volatility and trading activity jel c30 g11 g12 stock return volatility is fundamental to finance contingent claims pricing risk management asset allocation and market efficiency tests use volatility as a basic building block consequently volatility has been widely studied along several dimensions volatility clustering in financial data has been well documented and extensively modeled by the autoregressive conditional heteroskedasticity arch of engle 1982 and the generalized arch extension of bollerslev 1986 1 shiller 1981 leroy and porter 1981 roll 1984 1988 french and roll 1986 and cutler poterba and summers 1989 have all documented a significant amount of volatility that cannot be explained by changes in fundamentals and thus may be attributable to mispricing schwert 1989 has studied the variation in stock market volatility over time and has analyzed the

option prices implied price processes and stochastic volatility this paper characterizes all continuous price processes that are consistent with current option prices this extends derman and kani 1994 dupire 1994 1997 and rubinstein 1994 who only consider processes with deterministic volatility our characterization implies a volatility forecast that does not require a specific model only current option prices we show how arbitrary volatility processes can be adjusted to fit current option prices exactly just as interest rate processes can be adjusted to fit bond prices exactly the procedure works with many volatility models is fast to calibrate and can price exotic options efficiently using familiar lattice techniques

a comparative analysis of reference price models the effect of reference price on brand choice decisions has been well documented in the literature researchers however have differed in their conceptualizations and therefore in their modeling of reference price in this article we evaluate five alternative models of reference price of which two are stimulus based i e based on information available at the point of purchase and three that are memory based i e based on price history and or other contextual factors we calibrate the models using scanner panel data for peanut butter liquid detergent ground coffee and tissue to account for heterogeneity in model parameters we employ a latent class approach and select the best segmentation scheme for each model the best model of reference price is then selected on the basis of fit and prediction as well as on the basis of parsimony in cases where the fits of the models are not very different in all four categories we find that the best reference price model is a memory based model namely one that is based on the brand s own price history in the liquid detergent category however we find that one of the stimulus based models namely the current price of a previously chosen brand also performs fairly well we discuss the implications of these findings

a dynamic analysis of market structure based on panel data internal market structure analysis infers brand positions in an attribute space from preference and choice data given a market in which consumers have heterogeneous tastes for attributes previous market structure models have adopted a static framework e g elrod 1988 chintagunta 1994 elrod and keane 1995 furthermore they assumed that consumer perceptions of brand attributes do not vary across consumers yet these approaches may render inaccurate representations of market structure if there is state dependence in consumer choice behavior this paper attempts to incorporate consumer choice dynamics into market structure models by specifying the source of choice dynamics explicitly in particular the process by which past purchases affect current choices is modeled in a framework which captures both consumer habit persistence and variety seeking behavior more specifically consumer preferences for brand attributes are modeled to depend on the attributes of brands bought on the previous purchase occasion furthermore the modeling approach adopted incorporates heterogeneity in both consumer preferences and perceptions of brand attributes the audience of this paper includes practitioners and academics interested in understanding consumer choice processes and inferring market structure from consumer choice data the proposed models are estimated on nielsen scanner panel data for margarine peanut butter yogurt and liquid detergent using simulated maximum likelihood techniques the empirical results suggest that accounting for choice dynamics improves both in sample and out of sample fit the results indicate that the average consumer is habit persistent in all the product categories studied this result is consistent with the findings of kannan and sanchez 1994 who conducted an aggregate analysis of consumer variety seeking behavior across product categories however the results obtained in this paper suggest that consumers are heterogeneous with respect to the processes by which past purchases affect current purchases these results provide strong evidence for habit persistence and variety seeking in brand attributes to be the behavioral source of consumer choice dynamics in food categories thus consumer tastes utility weights seem to be affected by the attributes of the brands consumed in the past given the empirical result that a large proportion of consumers are habit persistent this suggests that tastes are reinforced by the brand attributes consumed in the past the empirical results also show that not accounting for state dependence in market structure models for panel data may produce misleading results that is depending on consumer behavior patterns models that do not account for state dependence may distort the true nature of competition among brands more specifically the results confirm the expectation that if there is habit persistence that is if consumer tastes are reinforced by attributes of brands consumed in the past models that do not capture this choice dynamics will overestimate the distance between similar brands furthermore the policy experiments conducted suggest that 1 static models overestimate the short run impact of a price cut on the sales of the brand on promotion 2 price cuts hurt the sales of the more similar brands more and 3 free samples affect relatively less similar brands the most finally this paper studies variety seeking and habit persistence across brands over purchase occasions however variety seeking behavior may also involve the purchase of a portfolio of brands or items at a purchase occasion consumers may buy multiple items knowing that prior to the next trip they may want to consume different items simanson 1990 walsh 1995 this type of behavior can be modeled within the context of dynamic expected utility maximization with forward looking consumers the development and estimation of market structure models that include forward looking consumers who maximize expected utility over a planning horizon incorporating their future tastes and needs and shopping for an inventory of brands remain an important future research issue

the dependence between hourly prices and trading volume this study provides evidence on joint characteristics of hourly common stock trading vol ume and returns on the new york stock exchange average volume traded shows signifi cant differences across trading hours of the day and across days of the week average returns differ across hours ofthe day and to some extent across days ofthe week there is a strong contemporaneous relation between trading volume and returns and also a rela tion between trading volume and returns lagged up to four hours furthermore the trading volume returns relation is steeper for positive returns than for nonpositive returns

risk preferences and demand drivers of extended warranties we disentangle and study the relative importance of different risk preferences in explaining extended warranty purchases and the high premia paid for them empirical and behavioral research on insurance is at odds with whether diminishing returns curvature of the utility function or loss aversion and nonlinear probability weighting lead to observed consumer behavior this lack of consensus is primarily due to the inability of standard choice data to separate different risk preferences and the consequent need to rely on strong parametric assumptions we design two conjoint studies consistent with simultaneous and sequential decision making with choices about washing machines and extended warranties where subjects are given failure probabilities and repair costs using stated choice data from the surveys we can nonparametrically identify product and risk preferences we find that loss aversion is significantly more important than curvature and probability weights in explaining extended warranty choices importantly failure to decompose risk averse behavior into that arising from curvature loss aversion and probability weighting leads to lower washer prices and profits these findings are robust to alternate reference point assumptions we rationalize the premia paid for warranties by exploring retailer incentives to price discriminate and test the theory on complementary goods pricing finally based on counterfactual analysis forcing separate retailers to sell washers and extended warranties is not necessarily welfare enhancing as cited in the media and previous literature

a note on capital asset pricing and heterogeneous taxes abstract in this paper we present a stylized model where we show how asset prices i e required expected rates of returns may be characterized in a world with heterogeneous asset taxes within a simple capm like framework we derive an after tax beta equal to the pre tax beta multiplied by a non obvious asset specific tax adjustment we further show in what sense the security market line here can be replaced by a security market fan well known capm relations are obtained as special cases and policy implications are analyzed

modeling heterogeneity and state dependence in consumer choice behavior in frequently purchased consumer goods markets consumer brand choices exhibit substantial persistence across purchase occasions in this article i estimate a choice model that admits of both heterogeneity in preferences and true state dependence as sources of this persistence using nielsen scanner data on ketchup i find evidence for true state dependence in the choice process even after controlling for a rich heterogeneity structure simulation of the model indicates that the long term effect of a promotion induced purchase on future purchase probabilities is positive but small

tax arbitrage and the existence of equilibrium prices for financial assets in models where both investors and securities are subject to differential taxation there may be no set of prices that rule out infinite gains to trade or tax arbitrage this paper characterizes the joint restrictions on financial asset returns and investors tax schedules that preclude tax arbitrage in the absence of short sale constraints the authors show that if there exists any configuration of marginal tax rates on investors tax schedules that rule out infinite gains to trade then no tax arbitrage prices will exist they also show that the existence of no tax arbitrage prices ensures the existence of equilibrium prices the effects of differential taxation on the equilibrium prices of financial assets have attracted much attention from financial economists in recent years otherwise identical securities that contribute to taxable income to different degrees will in general be valued differently by taxable investors as a result tax considerations have been useful in helping explain the effect of dividend yield on stock returns the effect of coupon levels and term to maturity on bond prices 2 the timing of investors portfolio transactions 3 and the observed capital structures of firms 4 while a rich set of observed behaviors can be better understood by reference to differential taxation there are well known difflculties in dealing with taxes in a general equilibrium setting to clear markets relative prices must reflect the marginal rates of substitution of all agents simultaneously when tax rates differ across investors however this condition can be impossible to achieve to illustrate consider a world of perfect certainty with two assets a tax exempt municipal bond and a taxable government bond to equate marginal rates of substitution the rate of return on the government bond rg must equal that on the municipal rm grossed up by one minus the investor s marginal tax rate ti that is rg rm 1 ti if there are investors in more than one tax bracket this condition will obviously be impossible to satisfy for all of them simultaneously both authors from graduate school of industrial administration carnegie mellon university we wish to thank scott richard steven spear and an anonymous referee for helping us sort through the issues considered here seminar participants at columbia wharton the johnson symposium on asset pricing at the university of wisconsin madison and the 1986 western finance association meeting also provided valuable comments we are also grateful for the financial support provided by the center for public policy research carnegie mellon university all errors are our own responsibility

trading breaks and asymmetric information the option markets abstract we find that weekend holiday and overnight trading breaks generate excessive perceived risk in the option markets presumably due to asymmetric information which in turn encourages uninformed option traders to postpone trading this perceived risk subsides after two days accompanied by an increase in the option trading volume and the underlying index s actual price volatility these results shed light on the informational role of index options and suggest that the theoretical models results regarding information processing and price discovery in the presence of private information are not limited to single stocks but also apply to the market as a whole

reference effects of price and promotion on brand choice behavior when consumers are exposed to pricing and promotional activity by frequently purchased packaged goods they may develop expectations that are used as points of reference in evaluating future activi

an empirical analysis of internal and external reference prices using scanner data single source yogurt data are used to examine whether both internal and external reference prices affect purchase decisions internal reference prices are memory resident prices based on actual fair or other price concepts external reference prices are observed stimuli such as regular prices that stores may display along with a sale price for comparability discrete choice models with variables representing the two types of reference prices are estimated and both types of variables are found to have significant effects on purchase probabilities this suggests that consumers may use multiple reference points in evaluating price in purchase decisions in addition a model using an indicator of a sale price discount explains purchase probabilities as well as one that models the actual discount which suggests that consumers may be reacting to the indication of savings rather than to the amount of the discount

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

differentiated price loss aversion in destination choice the effect of tourists cultural interest abstract this article looks into the differentiated effects of loss aversion depending on whether individuals show cultural interest when choosing a destination based on the fact that perceived value implies not only sacrifices but also the expectations of a certain level of quality and prospects of satisfaction together with the idea the prospect theory applies to tourism prices the article states the hypothesis that interest in culture when choosing a destination lowers people s loss aversion by incorporating the reference dependent model into a multinomial logit model with random parameters which controls for heterogeneity the empirical application shows that culture interested tourists are less loss averse i e the negative effect of finding a higher than expected price diminishes with cultural interest the expectation of enjoyment of these attributes and the more conscious attitude toward maintenance restoration activities of cultural sites are hypothesized to lead prices to be evaluated differently when selecting a destination

an investigation of reference price segments abstract empirical research on reference price has typically assumed that consumers use either an internal reference price irp or an external reference price erp but not both in brand choice decisions in this article the authors assume that consumers use both irp and erp but may consider one of them more salient than the other the authors develop a model that segments consumers on the basis of the differences in the importance they assign to each type of reference price as well as in their brand preferences and responses to marketing mix variables the authors calibrate the model on data for four categories liquid detergents ketchup tissue and yogurt in all four categories the proposed model performs significantly better than the one that assumes that consumers use either irp or erp exclusively the authors discuss the managerial implications of this finding

on the valuation of american call options on stocks with known dividends both the roll and the geske equations for the valuation of the american call option on a stock with known dividends are incorrectly specified this note presents the corrected valuation formula explains the misspecifications and provides a numerical example

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

patents as options some estimates of the value of holding european patent stocks in many countries holders of patents must pay an annual renewal fee in order to keep their patents in force this paper uses data on the proportion of patents renewed and the renewal fees faced by post world war ii cohorts of patents in france the united kingdom and germany in conjunction with a model of patent holders renewal decisions to estimate the returns earned from holding patents in these countries since patents are often applied for at a nearly stage in the innovation process the model allows agents to be uncertain about the sequence of returns that will be earned if the patent is kept inforce formally then the paper presents and solves a discrete choice optimal stochastic control model derives the implications of the model on aggregate behaviour and then estimates the parameters of the model from aggregate data the estimates enable a detailed description of the evolution of the distribution of returns earned from holding patents over their life spans and calculations of both the annual returns earned from holding the patents still in force or the patent stocks in the alternative countries and the distribution of the discounted value of returns earned from holding the patents in a cohort this abstract was borrowed from another version of this item

speed algorithmic trading and market quality around macroeconomic news announcements this paper documents that speed is crucially important for high frequency trading strategies based on u s macroeconomic news releases using order level data on the highly liquid s p 500 etf traded on nasdaq from january 6 2009 to december 12 2011 we find that a delay of 300 ms or more significantly reduces returns of news based trading strategies this reduction is greater for high impact news and on days with high volatility in addition we assess the effect of algorithmic trading on market quality around macroeconomic news in the minute following a macroeconomic news arrival algorithmic activity increases trading volume and depth at the best quotes but also increases volatility and leads to a drop in overall depth quoted half spreads decrease increase when we measure algorithmic trading over the full top of the order book

speculations in option markets enhance allocation efficiency with heterogeneous beliefs and learning abstract many studies investigate the impact of heterogeneous beliefs in the first moment while very few in the second moment this is partially due to continuous time setup which makes it difficult to incorporate heterogeneous beliefs in the second moment in a two period exponential normal model with bayesian learning i demonstrate that heterogeneous prior variances give rise to the economic value of option markets investors speculate in option market and public information improves allocation efficiency of markets only when there is heterogeneity in prior variances heterogeneity in mean is neither a necessary nor a sufficient condition for generating speculations in option markets with heterogeneous beliefs options are non redundant assets which can facilitate side betting and enable investors to take advantage of the disagreements and the differences in confidence this fact leads to a higher growth rate in the investors certainty equivalents and thus a higher equilibrium interest rate furthermore option exhibits a unique feature of enabling signal precision to affect the ex ante risk premium of underlying asset which quadratic derivative and stock do not have

anticipation of quarterly earnings announcements a test of option market efficiency abstract this study tests chicago board options exchange efficiency by examining option price behavior in the weeks surrounding a firm s quarterly earnings announcement the evidence presented here suggests that a first order autoregressive seasonal process describes quarterly earnings behavior and demonstrates that the information content of an earnings announcement is fully incorporated in option prices by the end of the announcement week

an examination of stock market return volatility during overnight and intraday periods 1964 1989 this paper examines the variance of hourly market returns during 1964 89 results indicate that return volatility falls from the opening hour until early afternoon and rises thereafter and is significantly greater for intraday versus overnight periods market variance is also shown to change significantly over time rising after nasdaq began in 1971 rising after trading in stock options began in 1973 falling after fixed commissions were eliminated in 1975 rising after trading in stock index futures was introduced in 1982 and falling after margin requirements for stock index futures became larger in 1988 copyright 1990 by american finance association

a transaction data study of weekly and intradaily patterns in stock returns abstract weekly and intradaily patterns in common stock prices are examined using transaction data for large firms negative monday close to close returns accrue between the friday close and the monday open for smaller firms they accrue primarily during the monday trading day for all firms significant weekday differences in intraday returns accrue during the first 45 minutes after the market opens on monday mornings prices drop while on the other weekday mornings they rise otherwise the pattern of intraday returns is similar on all weekdays most notable is an increase in prices on the last trade of the day

similarities in choice behavior across product categories differences between consumers in sensitivity to marketing mix variables have been extensively documented in the scanner panel data all studies of consumer heterogeneity focus on a specific category of products and ignore the fact that the purchase behavior of panel households is often observed simultaneously in multiple categories if sensitivity to marketing mix variables is a common consumer trait then one should expect to see similarities in sensitivity across multiple categories the goal in this paper is to measure the covariance of both observed linked to measured characteristics of households and unobserved heterogeneity in marketing mix sensitivity across multiple categories measurement of correlation in sensitivities across categories will serve to guide the interpretation of the literature on household heterogeneity if there is a large correlation one can be more confident that sensitivity to marketing variables is a fundamental household pr operty and not simply a category specific anomaly detection of correlation in sensitivities across categories requires an appropriate methodology that can handle the high dimensional covariance structures and properly account for uncertainty in estimatio n for example a simple approach might be to fit a brand choice model to each of the available categories in turn ignoring the data in the other categories for each category household parameter estimates could be obtained for the parameters corresponding to price display and feature sensitivity these parameter estimates could be viewed as data and the correlations across categories could be computed such a procedure could induce a downward bias in the estimation of correlation dueto the independent sampling errors which are present in each parameter estimate we develop a hierarchical model structure that introduces an explicit correlation structure across categories and utilizes the data in multiple categories at the same time to reduce the size of the covariance matrix we use a variance components approach we introduce household specific demographic variables to decompose the correlation across categories into that which can be ascribed to observable and unobservable sources shopping behavior variables such as shopping frequency and market basket size as well as intensity of shopping in a category are also included in the model using data on five categories we find substantial and statistically important correlations ranging from 32 for price sensitivities to 58 for feature sensitivity these correlations are much larger than the correlations obtained with the state of the art techniques available prior to our work we attribute our ability to detect substantial correlations to our method which involves the joint use of multiple category data in a parsimonious and efficient manner unlike previous studies with panel data household demographic variables are found to be strongly related to price sensitivity higher income households are less price sensitive and large families are more price sensitive shopping behavior variables are also important in explaining price sensitivity households that visit the store often are more price sensitive households with larger market baskets are less price sensitive confirming the view of bell and lattin 1998 heavy user households tend to be both less price sensitive and less display sensitive the evidence presented here of substantial correlations validates in part the notion that sensitivity to marketing mix variables is a consumer trait and is not unique to specific product categories it also opens the possibility of using information across categories in making inferences about consumer brand preference and marketing mix sensitivity providing a richer source of information for target marketing

hysteresis price acceptance and reference prices the existence of price thresholds in grocery retailing is well documented most authors explain the existence of price thresholds using assimilation contrast theory adaptation level theory or prospect theory however each of these theories is untenable if consumers are believed to behave rationally we offer a theoretical explanation grounded in real options theory rot and economic hysteresis we test the rot hypothesis against three plausible alternatives using a maximum likelihood friction model that we augment for unobserved heterogeneity our findings support the rot hypothesis and suggest that the existence of price thresholds in aggregate data are driven by a common recognition of real option values which do not disappear with the inclusion of consumer heterogeneity

weekend effects on stock returns a note some researchers have apparently been surprised to discover that the distribution of stock returns depends on the day of the week kenneth french 3 for example in testing whether daily stock returns are generated by a trading time or calendar time hypothesis provided convincing evidence of a negative market return on mondays as french carefully notes this finding runs counter to both hypotheses since a trading time view would have expected stock returns equal on different days and a calendar time view would have higher expected returns on monday to compensate for the longer holding period in this paper we offer a partial explanation for the apparently puzzling discovery of different daily returns we argue that the expected stock returns as measured for example from closing to closing prices should depend on the day of the week in general we argue that the expected returns on mondays should be lower than would be implied simply by a trading time or calendar time model and the returns on fridays should be higher in addition we anticipate that holidays will have complex effects on stock returns on other days of the week our argument is based on the delay between trading and settlements in stocks and in clearing checks the explanation that we offer for different measured daily returns does not contradict the efficient market hypothesis as correctly adjusted expected returns should not differ according to the day of the week

valuation of american call options on dividend paying stocks empirical tests abstract this paper examines the pricing performance of the valuation equation for american call options on stocks with known dividends and compares it with two suggested approximation methods the approximation obtained by substituting the stock price net of the present value of the escrowed dividends into the black scholes model is shown to induce spurious correlation between prediction error and 1 the standard deviation of stock return 2 the degree to which the option is in the money or out of the money 3 the probability of early exercise 4 the time to expiration of the option and 5 the dividend yield of the stock a new method of examining option market efficiency is developed and tested

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

the safety first expected utility model experimental evidence and economic implications abstract roy s roy a 1952 safety first and the holding of assets econometrica 20 3 431 449 safety first criterion advocates the minimization of the probability of outcomes below a certain disaster level this paper examines safety first theoretically and experimentally we find that safety first plays a crucial role in decision making inducing choices that cannot be explained by and even contradict risk aversion prospect theory and loss aversion in general yet safety first alone cannot explain individual choice therefore we propose an expected utility safety first eu sf model where decisions are made based on a weighted average of the safety first criterion and standard expected utility maximization we experimentally estimate these relative weights and discuss their economic implications