proper risk aversion on introduit et on etudie une condition comportementale significative sur les fonctions d utilite pour les richesses qui signifie qu une loterie indesirable ne peut jamais etre rendue desirable par la presence d une loterie indesirable independante

standard risk aversion this paper introduces the concept of standard risk aversion a von neumann morgenstern utility function has standard risk aversion if any risk makes a small reduction in wealth more painful in the sense of an increased reduction in expected utility also makes any undesirable independent risk more painful it is shown that given monotonicity and concavity the combination of decreasing absolute risk aversion and decreasing absolute prudence is necessary and sufficient for standard risk aversion standard risk aversion is shown to imply not only pratt and zeckhauser s proper risk aversion individually undesirable independent risks always being jointly undesirable but also that being forced to face an undesirable risk reduces the optimal investment in a risky security with and independent return similar results are established for the effect of broad class of increases in one risk on the desirability of or optimal investment in a second independent risk

share contracts and their rationale lessons from marine fishing most of the existing literature on share contracts is based explicitly or implicitly on agriculture a sector in which share contracts are seldom dominant and apparently on the decline moreover since agricultural activities have some rather special characteristics the purpose of the present article is to analyse contractual choice and especially the choice of share contracts in a sector in which share contracts are dominant namely fishing in the process of explaining the dominance of share contracts in fishing the article also explains a some heretofore neglected features of these share contracts such as the way in which shares are calculated and the treatment of repair and maintenance expenditures b the nature and extent of interlinked transactions c the exceptional cases where share contracts are not used and d the relevance of varying environmental conditions and especially those of poor developing countries to the nature of contracts in fishing and to the differences therein between

unexpected earnings and intraindustry information transfers further evidence this paper provides evidence on the association between unexpected quarterly earnings information and the contemporaneous stock price behavior of announcing and nonannouncing firms in the same industry prior research provides evidence consistent with a positive sign and magnitude relation between the unsystematic stock returns of announcing and nonannouncing firms at earnings release dates i e information transfers foster 1981 and clinch and sinclair 1987 as these studies emphasize however such an association may arise from misspecification of the stock return generating process to address this issue we use unexpected earnings not announcing firms unsystematic stock returns in tests of information transfers evidence consistent with information transfers when unexpected earnings are used as a proxy for the informativeness of earnings would reduce the likelihood of information transfers attributable to returns model misspecification and would support the hypothesis that unexpected earnings and not some unspecified information item drive information transfers at earnings release dates we find a positive sign and magnitude relation between the contemporaneous unsystematic stock returns of announcing and nonannouncing firms at earnings release dates and between unexpected earnings of announcing firms and unsystematic stock returns of nonannouncing

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

a framework for the analysis of evolving patron client ties in agrarian economies abstract this paper looks systematically at the various factors that can account for the disappearance or the transformation of the institution of patronage that used to structure labor and other relationships in many agrarian societies of the past it is an attempt to offer a unifying framework capable of guiding one s attention to the relevant variables and to the way they interact in this process the rather simplistic view according to which there is a unique linear path through which patronage evolves is called into question and a number of different scenarios are instead presented these alternatives are illustrated with reference to asia

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

unexpected tails in risk measurement some international evidence risk management critically depends on the assumptions made about the distribution of stock returns this paper applies extreme value methods to investigate the limiting distribution of the extreme returns of the nikkei225 ftse100 and s p500 indices as well as the indices of some of largest sectors in japan uk and us the results indicate that the much celebrated generalised extreme value distribution does not provide the most accurate description of the minima since the generalised logistic distribution performs better due to its ability to better capture the fat tails of returns the time varying nature of extremes is also confirmed while a simulation exercise adds to the robustness of our results it is also shown that the findings may have important implications for risk models such as var and expected shortfall since risk measures which cannot capture the fatness of tails of the empirical distribution function of returns may lead to serious underestimation of downside risk

industry window dressing we explore a new mechanism by which investors take correlated shortcuts and present evidence that managers using sales management take advantage of these shortcuts specifically we exploit a regulatory provision wherein a firm s primary industry is determined by the highest sales segment exploiting this regulation we provide evidence that investors classify operationally nearly identical firms as starkly different depending on their placement around this sales cutoff moreover managers appear to exploit this by manipulating sales to be just over the cutoff in favorable industries further evidence suggests that managers engage in activities to realize large tangible benefits from this opportunistic action

real time density forecasts from bayesian vector autoregressions with stochastic volatility central banks and other forecasters are increasingly interested in various aspects of density forecasts however recent sharp changes in macroeconomic volatility including the great moderation and the more recent sharp rise in volatility associated with increased variation in energy prices and the deep global recession pose significant challenges to density forecasting accordingly this paper examines with real time data density forecasts of u s gdp growth unemployment inflation and the federal funds rate from bayesian vector autoregression bvar models with stochastic volatility the results indicate that adding stochastic volatility to bvars materially improves the real time accuracy of density forecasts this article has supplementary material online

portfolio return autocorrelation abstract this paper investigates whether portfolio return autocorrelation can be explained by time varying expected returns nontrading state limit orders market maker inventory policy or transaction costs evidence is consistent with the hypothesis that transaction costs cause portfolio autocorrelation by slowing price adjustment i develop a transaction cost model which predicts that prices adjust faster when changes in valuation are large in relation to the bid ask spread cross sectional tests support this prediction but time series tests do not

labor tying in a poor agrarian economy a theoretical and empirical analysis in this paper we show how tied labor contrary to its common characterization as a feudal relic and as a symptom of economic stagnation may actually be strengthened by capitalist agricultural development we construct a simple two period theoretical model of a two tiered labor market to show how the proportional importance of voluntary labor tying contracts may increase with yield increasing improvements and with a tightening of the labor market we then provide in support of these hypotheses some general historical as well as more detailed econometric evidence from a variety of cross sectional data in rural india

theories of share tenancy a critical survey for the past 2 decades the problems of agricultural tenancy have attracted a great deal of attention not only from agricultural economists but also from economists in general as a typical example of agencyprincipal contract relations despite the prolific growth of literature both theoretical and empirical there has been little convergence in opinions on tenancy contracts the divergence has been especially great on the understanding of the causes and the effects of sharecropping tenancy much confusion underlying the widely divergent perspectives has stemmed from partial treatments of contractual choice which unduly limit the optimizing behavior of contracting parties and the options of contract forms this essay aims at clarifying the sources of the confusion by reviewing the past literature in light of the more general theory of agency principal relations the agency theory in order to examine the problems of various theoretical models in a unified framework in section ii we first develop the basic framework of a general model of tenancy contract in section iii we clarify in terms of the general model contradictions latent in the traditional marshallian theory which asserts that share tenancy is inefficient because of the disincentive effect of cropsharing on the tenant s work effort in section iv we attempt to show that recent efforts to reconstruct the theory based on the traditional assumption have not yet been quite successful section v draws implications and testable hypotheses from more general theories incorporating the aspects of risk and uncertainty section vi tests allocational and distributional implications of those alternative hypotheses based on the summary of evidence col

liquidity dynamics and cross autocorrelations this paper examines the relation between information transmission and cross autocorrelations we present a simple model where informed trading is transmitted from large to small stocks with a lag in equilibrium large stock illiquidity induced by informed trading portends stronger cross autocorrelations empirically we find that the lead lag relation increases with lagged large stock illiquidity further the lead from large stock order flows to small stock returns is stronger when large stock spreads are higher in addition this lead lag relation is stronger before macro announcements when information based trading is more likely and weaker afterward when information asymmetries are lower

competition among officials and the abuse of power traditional economic theory suggests that competition among officials providing government goods tends to reduce corruption however empirical evidence does not yet support this view in this paper i show that a corrupt and powerful central authority can use competition among officials to amass resources for itself while competition reduces corruption at the lower level of government corruption at the higher level of government is increased to avoid widespread theft from the central authority competing officials are monitored more intensively than a monopolist hence even though competition among officials generates more consumer surplus it may reduce welfare

performance of technical analysis in growth and small cap segments of the us equity market abstract a large universe of technical trading rules applied to a set of technology industry and small cap sector portfolios over the 1995 2010 period yields superior predictability after adjusting for data snooping bias in the first half of the sample period and delivers statistically significant profits for a number of portfolios when the transaction cost is assumed to be of small to moderate size technical analysis is not able to outperform the buy and hold approach for any portfolio in the set in the second half of the sample period the finding that the short term return predictability becomes much weaker in the more recent period suggests that the underlying segments of the equity market have become more efficient over time the fact that mechanical trading strategies have been futile after adjusting for data snooping bias for two samples of portfolios where technical analysis is most anticipated to succeed suggests that it is unlikely to have delivered abnormal returns in any other segment of the domestic equity market in the last decade

trading volume and cross autocorrelations in stock returns this paper finds that trading volume is a significant determinant of the lead lag patterns observed in stock returns daily and weekly returns on high volume portfolios lead returns on low volume portfolios controlling for firm size nonsynchronous trading or low volume portfolio autocorrelations cannot explain these findings these patterns arise because returns on low volume portfolios respond more slowly to information in market returns the speed of adjustment of individual stocks confirms these findings overall the results indicate that differential speed of adjustment to information is a significant source of the cross autocorrelation patterns in short horizon stock returns both academics and practitioners have long been interested in the role played by trading volume in predicting future stock returns 1 in this paper we examine the interaction between trading volume and the predictability of short horizon stock returns specifically that due to lead lag cross autocorrelations in stock returns our investigation indicates that trading volume is a significant determinant of the cross autocorrelation patterns in stock returns 2 we find that daily or weekly returns of stocks with high trading volume lead daily or weekly returns of stocks with low trading volume additional tests indicate that this effect is related to the tendency of high volume stocks to respond rapidly and low volume stocks to respond slowly to marketwide information

time series copulas for heteroskedastic data we propose parametric copulas that capture serial dependence in stationary heteroskedastic time series we suggest copulas for first order markov series and then extend them to higher orders and multivariate series we derive the copula of a volatility proxy based on which we propose new measures of volatility dependence including co movement and spillover in multivariate series in general these depend upon the marginal distributions of the series using exchange rate returns we show that the resulting copula models can capture their marginal distributions more accurately than univariate and multivariate generalized autoregressive conditional heteroskedasticity models and produce more accurate value at risk forecasts

informed trading and portfolio returns we solve a multi period model of strategic trading with long lived information in multiple assets with correlated innovations in fundamental values market makers in each asset can only condition their price functions on trading in the that asset but not on trading in the other asset using daily non public data from the new york stock exchange we test the model s predictions on the lead lag relations of institutional order ows and returns within portfolios we flnd support for the model prediction of positive autocorrelations in portfolio returns as well as the predictions for how informed order ow positively predicts future returns and future informed order ow as the model predicts we flnd these relations strengthen for portfolios formed from assets with higher correlation of fundamental values

limited liability and the existence of share tenancy abstract the paper considers the problem confronting an absentee landlord who can lease out his land on a fixed rent contract share rent contract or a mixture of the two it is argued that in poor areas it is natural to have each contract underwritten by an implicit limited liability clause which allows a person to forego paying rent under extreme crop failures in the presence of such an implicit clause a certain tension appears between a tenant and a landlord with the former preferring risky projects and the latter preferring safe ones it is shown that in such a case share tenancy turns out to be the dominant system from among the class mentioned above because it minimises the tension between the landlord and the tenant the result is then used to discuss conditions under which share tenancy will tend to wither away

interlocking transactions obstacles precursors or instruments of agrarian capitalism abstract rural labor arrangements often change rapidly and in ways that prevailing theories cannot explain explicit understanding of the exercise of power in rural society sheds considerable light on how and why rural labor arrangements change in the course of economic development this paper shows how different labor tying arrangements embody exclusionary mechanisms that can serve as instruments of both labor management and social control macro political and economic conditions shape the ways in which these mechanisms operate and are in turn influenced by them viewing labor arrangements in this way helps resolve problems confronted by the prevailing theories and allows for a broader understanding of dynamic processes

the formation of risk sharing networks this paper examines the formation of risk sharing networks in the rural philippines we find that geographic proximity possibly correlated with kinship is a major determinant of mutual insurance links among villagers age and wealth differences also play an important role in contrast income correlation and differences in occupation are not determinants of network links reported network links have a strong effect on subsequent gifts and loans gifts between network partners are found to respond to shocks and to differences in health status from this we conclude that intra village mutual insurance links are largely determined by social and geographical proximity and are only weakly the result of purposeful diversification of income risk the paper also makes a methodological contribution to the estimation of dyadic models

industry information diffusion and the lead lag effect in stock returns i argue that the slow diffusion of industry information is a leading cause of the lead lag effect in stock returns i find that the lead lag effect between big firms and small firms is predominantly an intra industry phenomenon moreover this effect is driven by sluggish adjustment to negative information and is robust to alternative determinants of the lead lag effect small less competitive and neglected industries experience a more pronounced lead lag effect the lead lag effect is related to the post announcement drift of small firms following the earnings releases of big firms within the industry

market failure and control of labour power towards an explanation of structure and change in indian agriculture part 1 1 although existing approaches do on occasion shed light on certain specific aspects of indian agriculture in general they run into problems of methodology or content or more frequently both in particular it is misleading to treat indian agri culture in peasant economy no markets or neoclassical perfect market terms and problematic to view it as semi feudal markets subordinate to extra economic factors 2 analysis of the relationships between farm size land productivity sharecropping and mechanisation suggest the need for an integrated model which emphasises both the unemployment and poverty of poor peasants and the problems of supervision and control of wage labour and tenants 3 proper appreciation of the interlinked role of these factors can help to explain the system s inability to combine the abundant labour of the poor with resources owned largely by the rich it can also go on to explain institutional responses like sharecropping as partial solutions to the problem of intensifying labour use and technological ones such as mechanisation as a means of delinking large farm growth from the need to intensify labour use 4 the tensions and choices between these responses underlie both the problem of stagnation and the phenomenon of switches from sharecropping to mechanisation 5 for associated reasons more rapid growth in indian agriculture is unlikely without major institutional changes to create much new employment and is likely to be more capital intensive than is usually assumed

from value at risk to stress testing the extreme value approach this article presents an application of extreme value theory to compute the value at risk of a market position in statistics extremes of a random process refer to the lowest observation the minimum and to the highest observation the maximum over a given time period extreme value theory gives some interesting results about the distribution of extreme returns in particular the limiting distribution of extreme returns observed over a long time period is largely independent of the distribution of returns itself in financial markets extreme price movements correspond to market corrections during ordinary periods and also to stock market crashes bond market collapses or foreign exchange crises during extraordinary periods an approach based on extreme values to compute the var thus covers market conditions ranging from the usual environment considered by the existing var methods to the financial crises which are the focus of stress testing univariate extreme value theory is used to compute the var of a fully aggregated position while multivariate extreme value theory is used to compute the var of a position decomposed on risk factors 2000 elsevier science b v all rights reserved

permanent labour and land tenancy contracts in agrarian economies an integrated analysis extending the existing models of land and labour contracts this study attempts to build a general model of long term agrarian contracts the model implies that where tenancy is an available option the fixed wage permanent labour contract will not be chosen if it is chosen under institutional constraints on tenancy contracts resulting resource allocations will be inefficient empirical relevance of the model is tested on data from the philippines

continuous cascade models for asset returns abstract in this paper we make a short overview of continuous cascade models recently introduced to model asset return fluctuations we show that these models account in a very parcimonious manner for most of stylized facts of financial time series we review in more details the simplest continuous cascade namely the log normal multifractal random walk mrw it can simply be considered as a stochastic volatility model where the log volatility memory has a peculiar logarithmic shape this model possesses some appealing stability properties with respect to time aggregation we describe how one can estimate it using a gmm method and we present some applications to volatility and var value at risk forecasting

an efficiency and welfare classification of rationing by waiting in the presence of bribery abstract governments often allocate commodities at low prices and on a first come first served basis rationing by waiting while bureaucrats who distribute the commodities usually take bribes a model is developed to classify the efficiency implications of bribery and socially optimal pricing schemes in rationing by waiting if the rationed good and individual income spent on other goods other income are complements then bribery may enhance allocative efficiency and a dual pricing scheme can augment social welfare however if the rationed commodity and other income are substitutes then bribery may not improve allocative efficiency and distributing the rationed commodity free is socially optimal

a conditional extreme value volatility estimator based on high frequency returns abstract this paper introduces a conditional extreme value volatility estimator evt based on high frequency returns the relative performance of the evt is compared with the discrete time garch and implied volatility models for 1 day and 20 day ahead forecasts of realized volatility this is also a first attempt towards detecting any time series variation in extreme value distributions using high frequency intraday data the information content of evt is examined in the context of forecasting sp 2 vix generally yields a less accurate characterization of realized volatility than evt and garch models these results have implications for financial risk management and are thus relevant to both regulators and practitioners

forecasting daily supermarket sales using exponentially weighted quantile regression inventory control systems typically require the frequent updating of forecasts for many different products in addition to point predictions interval forecasts are needed to set appropriate levels of safety stock the series considered in this paper are characterised by high volatility and skewness which are both time varying these features motivate the consideration of forecasting methods that are robust with regard to distributional assumptions the widespread use of exponential smoothing for point forecasting in inventory control motivates the development of the approach for interval forecasting in this paper we construct interval forecasts from quantile predictions generated using exponentially weighted quantile regression the approach amounts to exponential smoothing of the cumulative distribution function and can be viewed as an extension of generalised exponential smoothing to quantile forecasting empirical results are encouraging with improvements over traditional methods being particularly apparent when the approach is used as the basis for robust point forecasting

the impact of connectivity on market interlinkages evidence from rural punjab up to the 1980s it was generally accepted that many key issues in agrarian development could not be studied without an understanding of market interlinkages recently however this theory has lost its importance in development literature based on a household level survey from rural pakistan this paper seeks to re introduce the importance of interlinkages by illustrating their exploitative potential particularly in unequal isolated villages where landlords are essentially monopolist monopsonist the solution proposed is to break isolation making use of an exogenous shock found in the construction of a motorway the study finds that while connectivity does not break interlinkages completely it does significantly reduce their exploitative nature

time series analysis for financial market meltdowns abstract there appears to be a consensus that the recent instability in global financial markets may be attributable in part to the failure of financial modeling more specifically it is alleged that current risk models have failed to properly assess the risks associated with large adverse stock price behavior in this paper we first discuss the limitations of classical time series models for forecasting financial market meltdowns then we set forth a framework capable of forecasting both extreme events and highly volatile markets based on the empirical evidence presented in this paper our framework offers an improvement over prevailing models for evaluating stock market risk exposure during distressed market periods

investment analysis and the adjustment of stock prices to common information in this article we are concerned with the effect of the number of investment analysts following a firm on the speed of adjustment of the firm s stock price to new information that has common effects across firms it is found that returns on portfolios of firms that are followed by many analysts tend to lead those of firms that are followed by fewer analysts even when the firms are of approximately the same size many analyst firms also tend to respond more rapidly to market returns than do few analyst firms adjusting for firm size this relation however is nonlinear and the marginal effect of the number of analysts on the speed of price adjustment increases with the number of analysts article published by oxford university press on behalf of the society for financial studies in its journal the review of financial studies

confidence intervals for conditional tail risk measures in arma garch models abstractarma garch models are widely used to model the conditional mean and conditional variance dynamics of returns on risky assets empirical results suggest heavy tailed innovations with positive extreme value index for these models hence one may use extreme value theory to estimate extreme quantiles of residuals using weak convergence of the weighted sequential tail empirical process of the residuals we derive the limiting distribution of extreme conditional value at risk cvar and conditional expected shortfall ces estimates for a wide range of extreme value index estimators to construct confidence intervals we propose to use self normalization this leads to improved coverage vis a vis the normal approximation while delivering slightly wider confidence intervals a data driven choice of the number of upper order statistics in the estimation is suggested and shown to work well in simulations an application to stock index returns documents the improvements of cvar and ces forecasts

on the efficiency of intra industry information transfers the dilution of the overreaction anomaly abstract we revisit the stock market anomaly documented by thomas and zhang 2008 and show that the apparent mispricing of information transfers has decayed over time as the us markets experienced rapid improvements in the efficiency of the underlying price formation processes utilizing recent advancements in market microstructure research to estimate firm specific proxies for market efficiency we demonstrate that the existence of the overreaction anomaly where stock prices of late announcers in response to the earnings reported by early announcers in the same industry are negatively related to subsequent price responses of late announcers to their own earnings reports is specific to an earlier sample period and results from the inefficient incorporation of information into prices largely attributable to an environment with high barriers to arbitrage our results indicate that the pricing efficiency of intra industry information transfers has increased in the recent years of increased liquidity and markedly higher trading activity

capturing deep tail risk via sequential learning of quantile dynamics abstract this paper develops a conditional quantile model that can learn long term and short term memories of sequential data it builds on sequential neural networks and yet outputs interpretable dynamics we apply the model to asset return time series across eleven asset classes using historical data from the 1960s to 2018 our results reveal that it extracts not only the serial dependence structure in conditional volatility but also the memories buried deep in the tails of historical prices we further evaluate its value at risk forecasts against a wide range of prevailing models our model outperforms the garch family as well as models using filtered historical simulation conditional extreme value theory and dynamic quantile regression these studies indicate that conditional quantiles of asset return have persistent sources of risk that are not coming from those responsible for volatility clustering these findings could have important implications for risk management in general and tail risk forecasts in particular

water allocation inefficiency and inequity in a government irrigation system abstract efficient and equitable allocation of irrigation water in a large multi user system must consider spatial temporal and seasonal differences in farm water use in developing countries centralized government management of canal systems typically allocates water according to simple fixed rules water allocation over a six year period is analyzed for a philippine government system and compared with estimated variability in farmer water utilization inflexibility of the present allocation is found to be inefficient with inequitable distribution of irrigation benefits among farmers

how important is the financial media in global markets this article studies differences in the information content of 870 000 news announcements in 56 markets around the world in most developed markets a firm s stock price moves much more on days with public news about the firm in contrast in many emerging markets volatility is similar on news and non news days we examine several hypotheses for our findings cross country differences in stock price reactions are best explained by insider trading followed by differences in the quality of the news dissemination mechanism our findings are useful for quantifying the extent of insider trading and how the financial media affects international markets jel g14 g15 public news announcements are a major mechanism for disseminating information to investors each day the financial media releases thousands of articles covering companies in markets worldwide investors use this news to estimate assets fundamental values despite the perceived importance of the

the system of administrative and political corruption canal irrigation in south india the paper describes how some irrigation engineers raise vast amounts of illicit revenue from the distribution of water and contracts and redistribute part to superior officers and politicians it argues that the corruption system which is centred on control of personnel transfers is an important supply side reason for poor performance of canal irrigated agriculture insofar as the same system operates in other government departments it may be more important for understanding indian politics and the political influences on economic development than has previously been realised

overreaction to intra industry information transfers prior research has documented that earnings announcements provide information not only about the announcing firm but also about other firms in the same industry we document a stock market anomaly associated with this phenomenon of intra industry information transfers by showing that the stock price movements of late announcers in response to earnings reported by early announcers are negatively related to subsequent price responses of late announcers to their own earnings reports apparently the stock market overestimates the intra industry implications of early announcers earnings for late announcers earnings and that overestimation is corrected when late announcers disclose their earnings

tenure systems in traditional china i a general equilibrium model of tenure preference classical marginalists at least after john clark provide an unequivocal solution for the conventional factor market where people sell the productive services of their resources to producers the productexhaustion theorem says that if factors are priced according to their marginal products incomes of all resource owners will exactly exhaust the value of total products in the long run competitive equilibrium this holds true regardless of which factor is variable and which is fixed and regardless of which group of resource owners perform as producers who buy productive services of other resources in the market and claim residuals for themselves in an agrarian economy with land and labor as the inputs a land owner may cultivate his land and purchase the labor input from outside paying a wage rate in accordance with labor s marginal product the land owner is then the residual claimant alternatively he may lease out his land and receive a fixed rental rate per unit of area equal to the marginal product of land in this case the tenant is the producer and claims the residual income distribution between the two parties remains the same under each land arrangement wage and rent are therefore identical conceptually the classical marginal analysis has not presented a satisfactory theory of share tenancy which instead of being a seller buyer transaction in a conventional factor market is essentially a partnership arrangement between two persons who own complementary factors hence the term land renting will hereafter denote the fixed rent system exclusively in fact the direct application of marginal analysis to share tenancy has created considerable confusion in early economic literature only recently some general equilibrium models of land tenure systems have been developed for better understanding of the

understanding declining mobility and inter household transfers among east african pastoralists we model interhousehold transfers between nomadic livestock herders as the state dependent consequence of individuals strategic interdependen ce resulting from the existence of multiple opposing externalities a public good security ext ernality among individuals sharing a social e g ethnic identity in a potentially hostile en vironment creates incentives to band together self interested interhousehold wealth transfers fro m wealthier herders to poorer ones may emerge endogenously within a limited wealth space as a mea ns to motivate accompanying migration by the recipient the distributional reach and size o f the transfer are limited however by a resource appropriation externality related to the use of com mon property grazing lands when this effect dominates it can induce transfers from households who want to relieve grazing pressures caused by others herds our model augments the extant li terature on transfers and is perhaps more consistent with the limited available empirical evi dence on heterogeneous and changing transfers patterns among east african pastoralists the core principles of our model possibly apply more broadly for example to long distance migrants or e ven among foot soldiers in street gangs

an extreme value approach to estimating volatility and value at risk this article determines the type of asymptotic distribution for the extreme changes in u s treasury yields the thin tailed gumbel and exponential distributions are strongly rejected against the fat tailed frechet and pareto distributions the empirical results indicate that the volatility of maximal and minimal changes in interest rates declines as time to maturity rises yielding a downward sloping volatility curve for the extremes the article proposes an extreme value approach to estimating value at risk and shows that the statistical theory of extremes provides a more accurate approach for risk management and value at risk var calculations than the standard models

a generalized extreme value approach to financial risk measurement this paper develops an unconditional and conditional extreme value approach to calculating value at risk var and shows that the maximum likely loss of financial institutions can be more accurately estimated using the statistical theory of extremes the new approach is based on the distribution of extreme returns instead of the distribution of all returns and provides good predictions of catastrophic market risks both the in sample and out of sample performance results indicate that the box cox generalized extreme value distribution introduced in the paper performs surprisingly well in capturing both the rate of occurrence and the extent of extreme events in financial markets the new approach yields more precise var estimates than the normal and skewed t distributions

stock return serial dependence and out of sample portfolio performance we study whether investors can exploit serial dependence in stock returns to improve out of sample portfolio performance we show that a vector autoregressive var model captures stock return serial dependence in a statistically significant manner analytically we demonstrate that unlike contrarian and momentum portfolios an arbitrage portfolio based on the var model attains positive expected returns regardless of the sign of asset return cross covariances and autocovariances empirically we show however that both the arbitrage and mean variance portfolios based on the var model outperform the traditional unconditional portfolios only for transaction costs below ten basis points

indexing and stock market serial dependence around the world abstract we show a striking change in index return serial dependence across 20 major market indexes covering 15 countries in north america europe and asia while many studies find serial dependence to be positive until the 1990s it switches to negative since the 2000s this change happens in most stock markets around the world and is both statistically significant and economically meaningful further tests reveal that the decline in serial dependence links to the increasing popularity of index products e g futures exchange traded funds and index mutual funds the link between serial dependence and indexing is not driven by a time trend holds up in the cross section of stock indexes is confirmed by tests exploiting nikkei 225 index weights and standard poor s 500 membership and in part reflects the arbitrage mechanism between index products and the underlying stocks

irrigation reform in conditions of populist anarchy an indian case abstract it is true that the performance of india s canal irrigated agriculture could be substantially and cheaply improved by change in canal operating and maintenance procedures but current procedures allow some farmers and state officials to capture disproportionate benefits for themselves through a well institutionalised system of corruption these beneficiaries of the status quo make up powerful interes groups against reform the paper illustrates just how intensely political irrigation reform can be by tracing what happened when an attempt was made to carry out an apparently simple improvement in water allocation rules under a south indian canal the events suggest a wider process of cumulative causation making for low rates of growth of food production and weaker political authority the process is not inevitable however and the paper ends with some suggestions about how in the irrigation context public policy might help to offset the decline

when fishery rhymes with poverty a first step beyond the old paradigm on poverty in small scale fisheries abstract in this paper we first look retrospectively at the perceptions embraced by academics international agencies and practitioners of the relation between fisheries and poverty in developing countries and we try to identify the underlying paradigms which have structured these perceptions the review reveals how the debate has focused on the economic low income and biological overexploitation aspects of the problem we then revisit these perceptions in the light of the recent conclusions drawn from other sectors and in particular from the new consensus on poverty proposed by the international community incorporation of the recent research on poverty helps to show how socio institutional mechanisms governing people s access to fisheries resources rather than the resources themselves play such a critical role in vulnerability to poverty finally a typology identifying four different categories of intrasectoral exclusion mechanisms is developed and illustrated through empirical studies derived from african and asian fisheries

a closer look at small hydropower projects in india social acceptability of two storage based projects in karnataka abstract associated with being green clean and small scale small hydroelectric power shp projects generally enjoy a positive image in india shp promises answers to issues such as meeting a growing electricity demand facilitating lucrative investment opportunities and climate change considerations the features of being green clean and small scale have contributed to the assumption of shp as an essentially uncontested technology empirical studies questioning this assumption are scarce research on shp has so far remained rather hypothetical and policy level focused this article investigates the social acceptability of small hydroelectric plants in india by empirically looking at how people engage with these plants it thereby underlines the importance of studying technologies in their local context based on a detailed case study analysis of two shp projects in karnataka india the article shows how shp projects are contested on the local level the engagement of local people played a crucial role in the contestation of the plants and led to significant and unexpected outcomes and effects the article highlights the importance of having a broader perspective in the development of shp that goes beyond a mindset of technological fixes this includes taking account of existing water infrastructure and a broader range of water users the article shows that the implementation of shp projects does not take place in a void rather complex existing physical and social realities on the ground matter for the development and performance of shp

the new development economics abstract the theory of rural organization based on rational peasants in environments where information is imperfect and costly provides a simple explanation for a wide variety of phenomena in ldcs it provides insights into both why sharecropping is so widespread and why it takes on the particular forms that it does it provides an explanation of the interlinkage of credit and land markets and of cost sharing the paper argues that this theory provides a better explanation of these phenomena than do the competing theories this theory can be viewed as an important application of a more general paradigm the imperfect information paradigm which has been useful in explaining economic phenomena under a wide variety of settings under competition oligopoly and monopoly in labor markets capital markets in insurance markets and product markets and in developed and less developed countries

how relevant is volatility forecasting for financial risk management it depends if volatility fluctuates in a forecastable way volatility forecasts are useful for risk management hence the interest in volatility forecastability in the risk management literature volatility forecastability however varies with horizon and different horizons are relevant in different applications moreover existing assessments of volatility forecastability are plagued by the fact that they are joint assessments of volatility forecastability and an assumed model and the results can vary not only with the horizon but also with the assumed model to address this problem we develop a model free procedure for assessing volatility forecastability across horizons perhaps surprisingly we find that volatility forecastability decays quickly with horizon volatility forecastability although clearly of relevance for risk management at the short horizons relevant for say trading desk management may be much less important at longer horizons

contingent loan repayment in the philippines abstract using data from the philippines this article seeks to understand how households in the study area apparently manage to avoid falling into a debt trap in spite of frequent borrowing findings suggest that this is achieved via three institutional features first most informal debt carries no interest second for all debts repayment is postponed in case of a borrower s difficulty this is the only insurance feature of debt repayment third while debt principal is seldom forgiven or reduced interest bearing debt does not carry additional interest if debt repayment is delayed this prevents interest charges from accumulating and debt from snowballing

anticipation acquisitions and bidder returns industry shocks and the transfer of information across rivals we document market anticipation of merger bids and show that less anticipated bids earn significantly higher announcement returns subsequent bidders in the industry experience significant and positive abnormal returns around the time of initial industry bid announcements these results suggest that announcement period returns underestimate the wealth effects of bidding after accounting for anticipation bidding activity is on average a significant wealth creating event moreover bidders pursuing public targets increase shareholder wealth and bidders in stock swaps do not lose these results contradict conventional wisdom our results shed light on the correct magnitude of acquisition returns and on the transfer of information throughout an industry around the time of an economic shock the author 2011 published by oxford university press on behalf of the society for financial studies all rights reserved for permissions please e mail journals permissions oup com oxford university press

intra industry information transfers associated with earnings releases abstract the impact that a firm s earnings releases have on the stock prices of other firms in its industry is examined for an identifiable sub set of firms the results are consistent with a significant information transfer occurring between the earnings release firm and the other firms in its industry this subset is identified by examining the impact of the release on the stock price of the announcing firm the magnitude of this impact is more significant for a sample of firms which have a larger percentage of their revenues in the same line of business as the earnings release firm vis a vis a sample with a lower percentage of their revenues from the same line of business alternative interpretations of the empirical results are also discussed the research findings have implications for information content and market efficiency research and for research on policy issues associated with disclosure regulation

a tale of three schools insights on autocorrelations of short horizon stock returns this article reexamines the autocorrelation patterns of short horizon stock returns we document empirical results which imply that these autocorrelations have been overstated in the existing literature based on several new insights we provide support for a market efficiency based explanation of the evidence our analysis suggests that institutional factors are the most likely source of the autocorrelation patterns

pricing the european option to switch between two energy sources an application to crude oil and natural gas we consider a firm which can choose between crude oil and natural gas to run its business the firm selects the energy source which minimizes its energy or production costs at a given time horizon assuming the energy strategy to be established over a fixed time window the energy choice decision will be made at a given future date t in this light the firm s energy cost can be considered as a long position in a risk free bond by an amount of the terminal oil price and a short position in a european put option to switch from oil to gas by an amount of the terminal oil price too as a result the option to switch from crude oil to natural gas allows for establishing a hedging strategy with respect to energy costs modeling stochastically the underlying asset of the european put we propose a valuation formula of the option to switch and calibrate the pricing formula to empirical data on a daily basis hence our innovative framework handles widely the hedge against the price increase of any given energy source versus the price of another competing energy source i e minimizing energy costs moreover we provide a price for the cost reducing effect of the capability to switch from one energy source to another one i e hedging energy price risk

components of short horizon individual security returns abstract in this paper we present a simple model which relates security returns to three components an expected return a bid ask error and white noise the relative importance of the various components is empirically assessed and the model s ability to explain the various time series properties of individual security and portfolio returns is tested time varying expected returns and bid ask errors are found to explain substantial proportions up to 24 of the variance of security returns we also reconcile the typically negative autocorrelation in security returns with the strong positive autocorrelation in portfolio returns

extreme value theory in finance a survey extreme value theory is concerned with the study of the asymptotic distribution of extreme events that is to say events which are rare in frequency and huge in magnitude with respect to the majority of observations statistical methods derived from it have been employed increasingly in finance especially for risk measurement this paper surveys some of those main applications namely for testing different distributional assumptions for the data for value at risk and expected shortfall calculations for asset allocation under safety first type constraints and for the study of contagion and dependence across markets under conditions of stress

an inquiry into quasi credit contracts the role of reciprocal credit and interlinked deals in small scale fishing communities in agrarian village societies beset with many hazards and uncertainties people evolve various means of coping with risk what is perhaps less known is that credit transactions can sometimes serve the function of reducing risk in such societies this article is concerned with examining several insurance motivated credit arrangements in small scale fishing communities a hunger insurance mechanism of reciprocal credit and a system of interlinked contracts aimed at insuring against risks in the spheres of labour and marketing relations will be extensively dealt with moreover the concept of triadic relationships will be shown to have special relevance in the case of traditional insurance arrangements aiming at controlling problems of moral hazard

economic linkages across commodity futures hedging and trading implications we investigate cross market trading dynamics in futures contracts written on seemingly unrelated commodities that are consumed by a common industry on the tokyo commodity exchange we find such evidence in natural rubber nr palladium pa and gasoline ga futures markets the automobile industry is responsible for more than 50 of global demand for each of these commodities var estimation reveals short run cross market interaction between nr and ga and from nr to pa cross market influence exerted by pa is felt in longer dynamics with pa volatility volume affecting nr ga volume volatility our findings are robust to lag specification volatility measure and consistent with full bekk garch estimation results further analysis which benchmarks against silver futures market tocom index and topix transportation index confirms that our results are driven by a common industry exposure and not a commodity market factor a simple trading rule that incorporates short run ga and long run pa dynamics to predict nr return yields positive economic profit our study offers new insights into how commodity and equity markets relate at an industry level and implications for multi commodity hedging

the market for public office why the indian state is not better at development abstract how and why officials are transferred from one post to another can in india does have far reaching consequences for the effectiveness of public service organizations such as irrigation agriculture forestry and soil conservation departments the transfer mechanism used in many departments of indian states involves a kind of internal labor market a truer market than in the way that term is often used by labor market economists it allows pressures for corrupt behavior to bear down on the incumbents of certain posts and itself amplifies those pressures frequently the pressures on officials to be corrupt cause them to behave in ways contrary to the ostensible objectives of their departments why is the indian state not better at promoting development to an important degree because of the corruption transfer mechanism and its effects on bureaucratic initiatives