electoral equilibria with entry some simulations the objective of this paper is to investigate by means of simulation the impact of third party entry on the spatial separation of candidates specifically we do real time simulations of palfrey s 1984 model of electoral equilibria with entry after relaxing some of its assumptions our finding that the threat of third party entry can induce virtually the same spatial separation of the major party candidates as entry with certainty is both a strong and interesting result

optimal insurance in incomplete markets this paper examines the theory of optimal insurance purchasing in the presence of uninsurable background risk existing theorems concerning the optimal level of insurance and the optimal form of an insurance contract are shown to hold only under restricted market and risk assumptions in particular conditions sufficient for the optimality of full coverage or sufficient for the optimality of deductible policies depend on the correlation between insurable and uninsurable risks these results may provide a partial explanation why existing theory is often contradicted by observable behavior

stochastic dominance and mean variance measures of profit and loss for business planning and investment in this paper we first extend the stochastic dominance sd theory by introducing the first three orders of both ascending sd asd and descending sd dsd to decisions in business planning and investment to risk averse and risk loving decision makers so that they can compare both return and loss we provide investors with more tools for empirical analysis with which they can identify the first order asd and dsd prospects and discern arbitrage opportunities that could increase his her utility as well as wealth and set up a zero dollar portfolio to make huge profit our tools also enable investors and business planners to identify the third order asd and dsd prospects and make better choices to complement the stochastic dominance approach we also introduce an improved mean variance criterion to decisions in business planning or investment on both return and loss for risk averse and riskloving investors we then illustrate the superiority of the present approaches with well known examples in the literature and discuss the relationship between the improved stochastic dominance and mean variance criteria

gains from diversification on convex combinations a majorization and stochastic dominance approach by incorporating both majorization theory and stochastic dominance theory this paper presents a general theory and a unifying framework for determining the diversification preferences of risk averse investors and conditions under which they would unanimously judge a particular asset to be superior in particular we develop a theory for comparing the preferences of different convex combinations of assets that characterize a portfolio to give higher expected utility by second order stochastic dominance our findings also provide an additional methodology for determining the second order stochastic dominance efficient set

spatial equilibrium with entry this paper examines spatial equilibrium in political competition when established parties choose their platforms competitively while rationally anticipating entry of a vote maximizing third party the resulting equilibrium is substantially different from the hotelling median equilibrium established parties are spatially separated and third parties will generally lose the election this provides one theoretical explanation for the stability of two party systems namely that non cooperative behavior between established parties can effectively prevent third parties from winning

analysis of protection and pricing strategies for digital products under uncertain demand abstract we analyze pricing and protection digital rights management strategies in a two echelon supply chain that consists of a manufacturer and a retailer of digital products the demand for the legal non pirated product which depends on both price and monetary investment in protection is assumed to be uncertain three different supply chain models are analyzed manufacturer stackelberg retailer stackelberg and vertical integration we show that the retailer s utility function has no effect on the equilibrium strategies and suggest schemes to find these strategies for any utility function of the manufacturer further results are obtained under assumptions of either a multiplicative or an additive demand model we study the players strategies under different profit criteria reflecting different attitudes toward risk specifically the expectation criterion and the target criterion and for each criterion we obtain the dependence between the pricing and the protection investment we show that there are situations in which the manufacturer can increase his profit by giving up his leadership to the retailer even if the power balance is in his favor

portfolio performance evaluation in a mean variance skewness framework abstract astronomical amounts of money are being invested in financial markets consequently the evaluation of portfolio performance has created a great deal of interest among practitioners as well as academic researchers the literature suggests that portfolio efficiency based on mean variance skewness is more desirable than the one based on mean variance however there are no well established procedures to measure efficiency in this framework mainly due to the computational difficulties the aim of this paper is to develop a portfolio performance measure based on mean variance skewness framework by utilizing a non parametric efficiency analysis tool namely data envelopment analysis

mean variance portfolio and contribution selection in stochastic pension funding abstract in this paper we study the problem of simultaneous minimization of risks and maximization of the terminal value of expected funds assets in a stochastic defined benefit aggregated pension plan the risks considered are the solvency risk measured as the variance of the terminal fund s level and the contribution risk in the form of a running cost associated to deviations from the evolution of the stochastic normal cost the problem is formulated as a bi objective stochastic problem of mean variance and it is solved with dynamic programming techniques we find the efficient frontier and we show that the optimal portfolio depends linearly on the supplementary cost of the fund plus an additional term due to the random evolution of benefits

on the theory of rational insurance purchasing a note the authors consider the optimal amount of insurance purchased by an individual who behaves according to the hurwicz criterion of choice under uncertainty their results are compared with earlier results obtained in alternative frameworks expected utility maximization and savage s regret criterion it is shown that a positive amount deductible is often suboptimal

parimutuel contests with strategic risk sensitive bettors abstractexisting models in the parimutuel betting literature typically explain betting data by either assuming a single representative bettor with certain risk preferences or by assuming that a number of risk neutral bettors compete strategically within a game theoretic framework we construct a theoretical framework of parimutuel markets in which we model both strategic interaction and individual bettor risk preferences distinguishing between sophisticated insiders and recreational outsiders we solve this model analytically for the optimal insider betting amount in a static symmetric nash equilibrium a new data set of 126 million individual horse race bets in new zealand from 2006 to 2014 allows us to calibrate the model we find that insiders those betting 100 or more outperform outsiders by 7 5 in terms of realized returns the best fit of the model to the data is obtained when insiders are assumed to be risk neutral and to have an information advantage of 0 08 in probability terms this findin

covering dominance and institution free properties of social change this paper shows that different institutional structures for aggregation of preferences under majority rule may generate social choices that are quite similar so that the actual social choice may be rather insensitive to the choice of institutional rules specifically in a multidimensional setting where all voters have strictly quasi concave preferences it is shown that the uncovered set contains the outcomes that would arise from equilibrium behavior under three different institutional settings the three institutional settings are two candidate competition in a large electorate cooperative behavior in small committees and sophisticated voting behavior in a legislative environment where the agenda is determined endogenously because of its apparent institution free properties the uncovered set may provide a useful generalization of the core when a core does not exist a general existence theorem for the uncovered set is proven and for the downsian case bounds for the uncovered set are computed these bounds show that the uncovered set is centered around a generalized median set whose size is a measure of the degree of symmetry of the voter ideal points

elasticity of risk aversion and international trade abstract this paper analyzes export production in the presence of exchange rate uncertainty under mean variance preferences we present the elasticity of risk aversion since this elasticity concept permits a distinct investigation of risk and expectation effects on exports counterintutitive results are possible e g although the home currency is revaluating devaluating exports by the firm increase decrease this fact may contribute to the explanation of disturbing empirical results

the robustness of risk return nonlinearities to the normality assumption in a recent study tinic and west 1986 empirically reexamine the risk return relationship posited by the traditional mean variance capm they find a positive nonlinear relationship between risk and return except during january when the market rewards bearing nonsystematic risk this study examines the hypothesis that nonnormality of re turn distributions may account for some of these anomalous results we compare shalit and yitzhaki s 1984 mean extended gini capm an equilibrium asset pricing relation that is independent of the form of the underlying asset distribution with the traditional capm our results indicate that the nonlinear risk return relationship and the size and january effects are robust to nonnormality of return distributions

two moment decision models and expected utility maximization two moment decision models are consistent with expected utility maximization only if the choice set or the agent s preferences are restricted this paper identifies a restriction which is sufficient to ensure this consistency and confirms that it holds in many economic models the implications for economic analysis are then derived two different approaches to representing an agent s preferences over strategies yielding random payoffs are in wide use under the mean standard deviation ms approach the agent is assumed to rank the alternatives according to the value of some function defined over the first two moments of the random payoff while the expected utility eu criterion assumes that the expected value of some utility function defined over payoffs is used instead the fact that there are these two competing approaches has generated a considerable literature some authors are concerned with the advantages and disadvantages of each while others deal with conditions under which the potentially different approaches would yield the same results or at least approximately so space does not

portfolio optimization when asset returns have the gaussian mixture distribution abstract in this paper we consider a portfolio optimization problem where the underlying asset returns are distributed as a mixture of two multivariate gaussians these two gaussians may be associated with distressed and tranquil market regimes in this context the sharpe ratio needs to be replaced by other non linear objective functions which in the case of many underlying assets lead to optimization problems which cannot be easily solved with standard techniques we obtain a geometric characterization of efficient portfolios which reduces the complexity of the portfolio optimization problem

empirical tests for stochastic dominance efficiency we derive empirical tests for the stochastic dominance efficiency of a given portfolio with respect to all possible portfolios constructed from a set of assets the tests can be computed using straightforward linear programming bootstrapping techniques and asymptotic distribution theory can approximate the sampling properties of the test results and allow for statistical inference our results could provide a stimulus to the further proliferation of stochastic dominance for the problem of portfolio selection and evaluation using our tests the fama and french market portfolio is significantly inefficient relative to benchmark portfolios formed on market capitalization and book to market equity ratio

data envelopment analysis of mutual funds based on second order stochastic dominance abstract although data envelopment analysis dea has been extensively used to assess the performance of mutual funds mf most of the approaches overestimate the risk associated to the endogenous benchmark portfolio this is because in the conventional dea technology the risk of the target portfolio is computed as a linear combination of the risk of the assessed mf this neglects the important effects of portfolio diversification other approaches based on mean variance or mean variance skewness are non linear we propose to combine dea with stochastic dominance criteria thus in this paper six distinct dea like linear programming lp models are proposed for computing relative efficiency scores consistent in the sense of necessity with second order stochastic dominance ssd the aim is that being ssd efficient the obtained target portfolio should be an optimal benchmark for any rational risk averse investor the proposed models are compared with several related approaches from the literature

contract cheating the market in essays we conduct the first empirical economic investigation of the decision to cheat by university students we investigate student demand for essays using hypothetical discrete choice experiments in conjunction with consequential holt laury gambles to derive subjects risk preferences students stated willingness to participate in the essay market and their valuation of purchased essays vary with the characteristics of student and institutional environment risk preferring students those working in a non native language and those believing they will attain a lower grade are willing to pay more purchase likelihoods and essay valuations decline as the probability of detection and associated penalty increase

mean and variance responsive learning decision makers are often described as seeking higher expected payoffs and avoiding higher variance in payoffs we provide some necessary and some sufficient conditions for learning rules that assume the agent has little prior and feedback information about the environment to reflect such preferences we adopt the framework of borgers morales and sarin 2004 econometrica who provide similar results for learning rules that seek higher expected payoffs our analysis reveals that a concern for variance leads to quadratic transformations of payoffs to appear in the learning rule

diversification versus optimality is there really a diversification puzzle abstractin this paper we provide a general valuation of the diversification attitude of investors first we empirically examine the diversification of mean variance optimal choices in the us stock market during the 11 year period 2003 2013 we then analyze the diversification problem from the perspective of risk averse investors and risk seeking investors second we prove that investors optimal choices will be similar if their utility functions are not too distant independent of their tolerance or aversion to risk finally we discuss investors attitude towards diversification when the choices available to investors depend on several parameters

asset demands without the independence axiom an important application of the theory of choice under uncertainty is to asset markets and an important property in these markets is a preference for portfolio diversification if an investor is an expected utility maximizer then s he is risk averse if and only if s he exhibits a preference for diversification this paper examines the relationship between risk aversion and portfolio diversification when preferences over probability distributions of wealth do not have an expected utility representation

stochastic dominance via quantile regression with applications to investigate arbitrage opportunity and market efficiency abstract tests for stochastic dominance constructed by translating the inference problem of stochastic dominance into parameter restrictions in quantile regressions are proposed they are variants of the one sided kolmogorov smirnoff statistic with a limiting distribution of the standard brownian bridge the procedure to obtain the critical values of our proposed test statistics are provided simulation results show their superior size and power they are applied to the nasdaq 100 and s p 500 indices to investigate dominance relationship before and after major turning points results show no arbitrage opportunity between the bear and bull markets our results infer that markets are inefficient and risk averters are better off investing in the bull rather than the bear market

does reducing the capital gains tax rate raise or lower investment abstract the effect of taxation of capital gains on the decision to purchase a risky asset is explored within a theoretical framework similar to that of the capital asset pricing model tax rate reductions have two offsetting effects one is to raise the after tax expected return while the other is to increase the amount of risk borne by private agents conditions for determining which effect dominates are derived

rational voting and candidate entry under plurality rule we analyze a formal model of electoral competition under plurality rule that is characterized by two novel features first rather than assuming a fixed field of candidates we allow candidates to make decisions regarding entry as well as location second voters in our model are strategically rational that is they maximize utility over expected policy outcomes rather than simply voting for the ideologically closest candidate given these assumptions all equilibria in this model are such that the set of entrants locates at the median voter s ideal point this result stands in sharp contrast to earlier models of multicandidate competition in which entry is not allowed and voters vote sincerely

theories of risk testing investor behaviour on the taiwan stock and stock index futures markets investor behavior towards risk lies at the heart of economic decision making in general and modern investment theory and practice in particular this paper uses both the mean variance mv criterion and stochastic dominance sd procedures to analyze the preferences for four of the most widely studied investor types in the taiwan stock and stock index futures market we find that risk averters concave utility function prefer spot to futures whereas risk seekers convex utility function prefer futures to spot our findings also show that investors with s shaped utility functions prefer spot futures to futures spot when markets move upward downward finally our results imply that investors with reverse s shaped utility functions prefer futures spot to spot futures when markets move upward downward these results are robust with respect to sub periods spot returns including dividends and diversification although we do not check whether risk averters risk seekers and investors with s shaped and reverse sshaped utility functions actually exist in the market we do show that their existence is plausible the implications of our findings on market efficiency and the existence of arbitrage opportunities are also discussed in this study

evaluating agricultural energy policies under uncertainty the case of electricity in south india abstract farmers attitude towards risk associated with the availability of energy inputs will influence their investment behavior and demand for energy inputs in order to analyze policies that reduce the risk in energy availability some modifications in methods are required this study using a mean variance framework demonstrates how cross sectional data and time series data on crop yields and prices can be used to analyze agricultural energy policies under uncertainty in a developing country context it is argued that the farmers risk attitudes their crop allocation behavior changes in the demand for energy inputs and the stochastic relationship between various forms of energy inputs can be explained by the various energy constraints faced by them furthermore using the same methods the impact of policies which affect these constraints can be analyzed

necessary conditions for the capm abstract the general restrictions on all economic primitives i e a endowments b preferences and c asset return distributions that yield the capm under the expected utility paradigm are provided these results are then used to derive the class of restrictions on preferences and the distribution of asset returns alone that provides the capm we also show that the conditions that provide the capm and derived preferences over mean and variance are equivalent consequently this paper also resolves the question of when mean variance maximization is consistent with expected utility maximization journal of economic literatureclassification numbers g12 g11 d50

marginal conditional stochastic dominance this paper introduces the concept of marginal conditional stochastic dominance mcsd which states the conditions under which all risk averse individuals when presented with a given portfolio prefer to increase the share of one risky asset over that of another mcsd rules also answer the question of whether all risk averse individuals include a new asset in their portfolio when assets returns are correlated mcsd criteria are expressed in terms of the probability distributions of the assets and of the underlying portfolio an empirical application of mcsd is provided using stocks traded on the new york stock exchange mcsd rules are used to show that in the long run one cannot assert that the market portfolio is inefficient

market efficiency of oil spot and futures a mean variance and stochastic dominance approach this paper examines the market efficiency of oil spot and futures prices by using both mean variance mv and stochastic dominance sd approaches based on the west texas intermediate crude oil data for the sample period 1989 2008 we find no evidence of any mv and sd relationships between oil spot and futures indices this infers that there is no arbitrage opportunity between these two markets spot and futures do not dominate one another investors are indifferent to investing spot or futures and the spot and futures oil markets are efficient and rational the empirical findings are robust to each sub period before and after the crises for different crises and also to portfolio diversification

the optimal insurance contract in a competitive market abstract the author reviews some earlier work on optimal insurance contracts by arrow and mossin he then shows that some results in this work carry over to any premium system which satisfies the additivity condition inherent in a competitive market

stochastic dominance and risk measure a decision theoretic foundation for var and c var abstract is it possible to obtain an objective and quantifiable measure of risk backed up by choices made by some specific groups of rational investors to answer this question in this paper we establish some behavior foundations for various types of var models including var and conditional var as measures of downside risk in this paper we will establish some logical connections among vars conditional var stochastic dominance and utility maximization though supported to some extents with unanimous choices by some specific groups of expected or non expected utility investors vars as profiles of risk measures at various levels of risk tolerance are not quantifiable they can only provide partial and incomplete risk assessments for risky prospects we also include in our discussion the relevant vars and several alternative risk measures for investors these alternatives use somewhat weaker assumptions about risk averse behavior by incorporating a mean preserving spread for this latter group of investors we provide arguments for and against the standard deviation versus var and conditional vars as objective and quantifiable measures of risk in the context of portfolio choice

mean risk analysis with enhanced behavioral content abstract we study a mean risk model derived from a behavioral theory of disappointment with multiple reference points one distinguishing feature of the risk measure is that it is based on mutual deviations of outcomes not deviations from a specific target we prove necessary and sufficient conditions for strict first and second order stochastic dominance and show that the model is in addition a convex risk measure the model allows for richer and behaviorally more plausible risk preference patterns than competing models with equal degrees of freedom including expected utility eu mean variance m v mean gini m g and models based on non additive probability weighting such as dual theory dt in asset allocation the model allows a decision maker to abstain from diversifying in a positive expected value risky asset if its performance does not meet a certain threshold and gradually invest beyond this threshold which appears more acceptable than the extreme solutions provided by either eu and m v always diversify or dt and m g always plunge in asset trading the model provides no trade intervals like dt and m g in some but not all situations an illustrative application to portfolio selection is presented the model can provide an improved criterion for mean risk analysis by injecting a new level of behavioral realism and flexibility while maintaining key normative properties