supply chain information in analyst reports on publicly traded companies abstract analyst reports are an important source of secondary data on companies for understanding a company s performance in the recent past and for getting guidance on its future performance we therefore analyzed the text of 1028 equity analyst reports of 145 fortune 500 global companies not including services sectors like it or banking published between 2009 and 2011 for supply chain related information we found that nearly three fifths of these reports contained supply chain information pertaining to inbound process or outbound aspects of the supply chain of the company at the report level there are significant industry effects for supply chain related content in analyst reports on the other hand aggregating information at the company level it appears that analysts focus on a particular supply chain aspect for a company as well as its sector furthermore logistic regression analysis suggests a link between the supply chain information provided when this is positive in orientation and the buy sell hold recommendation of the analyst regarding the company s stock

analysts interim earnings forecasts evidence on the forecasting process existing empirical evidence indicates that analyst forecasts of corporate earnings do not meet the strict rationality standards prescribed by econometric tests of the rational expectations hypothesis 1 in this paper we address the question of whether the expectation formation process underlying analyst forecasts is adaptive or whether these forecasts are influenced by noninformational factors such as incentives arising from the market for their forecasts o brien 1988 lin and mcnichols 1993 francis and philbrick 1993 and dugar and nathan 1992 and interaction between judgmental and or statistical forecasting methods bunn and wright 1991 fan 1990 and hoerl and kennard 1970 the rejection of rational expectations gives rise to two views of the forecasting process of analysts the first based on an informational argument is that the forecasting process is adaptive marcet and sargent

subjective expectations and income processes in rural india this paper uses unique primary data on directly elicited individual subjective expectations to analyse and characterize the process that generates the income of poor rural indian households we validate and use responses to subjective expectations questions and a parametric assumption to fit a household specific probability distribution for future income combining computed moments from this distribution with data for actual current income we specify and estimate a dynamic model of household income we find that our households face a very persistent income process our paper is one of the first that uses subjective expectations data to model income processes

the effect of experience on security analyst underreaction abstract we examine if analysts more fully incorporate prior earnings and returns information in their current quarter forecasts as their experience following a firm increases we measure analyst firm specific forecasting experience as the number of prior quarters for which the analyst has issued an earnings forecast for the firm we find that analysts underreact to prior earnings information less as their experience increases suggesting one reason why analysts become more accurate with experience

a land of milk and honey with streets paved with gold do emigrants have over optimistic expectations about incomes abroad millions of people emigrate every year in search of better economic and social opportunities anecdotal evidence suggests that emigrants may have over optimistic expectations about the incomes they can earn abroad resulting in excessive migration pressure and in disappointment among those who do migrate yet there is almost no statistical evidence on how accurately these emigrants predict the incomes that they will earn working abroad in this paper the authors combine a natural emigration experiment with unique survey data on would be emigrants probabilistic expectations about employment and incomes in the migration destination their procedure enables them to obtain moments and quantiles of the subjective distribution of expected earnings in the destination country the authors find a significant underestimation of both unconditional and conditional labor earnings at all points in the distribution this underestimation appears driven in part by potential migrants placing too much weight on the negative employment experiences of some migrants and by inaccurate information flows from extended family who may be trying to moderate remittance demands by understating incomes

portfolio choice and liquidity constraints we study the infinite horizon model of household portfolio choice under liquidity constraints and revisit the portfolio specialization puzzle we show why the puzzle is robust to several model variations and argue that positive correlation between earnings shocks and stock returns is unlikely to provide an empirically plausible resolution we find that relatively small fixed costs for stock market entry are sufficient to deter stockholding because for a plausible range of parameter values households can achieve desired consumption smoothing with small or zero holdings of stocks such costs could arise from informational considerations sign up fees and investor inertia

how important is precautionary saving we estimate how much of the wealth of a sample of psid respondents is held because some households face more income uncertainty than others we begin by solving a theoretical model of saving which we use to develop appropriate measures of uncertainty we then regress measures of wealth on our measures of uncertainty and find evidence that households engage in precautionary saving finally we simulate the wealth distribution that our empirical results imply would prevail if all households had the same uncertainty as the lowest uncertainty group we find that between 39 and 46 percent of wealth in our sample is attributable to the extra uncertainty that some consumers face compared to the lowest uncertainty group

a positive model of earnings forecasts top down versus bottom up this article analyzes the behavior of two groups of corporate earnings forecasters analysts who follow individual company fortunes and market strategists who predict earnings for various company aggregates using data for two market indices the s p 500 and the dow jones industrial average we document that bottom up forecasts are systematically more optimistic than top down forecasts made by strategists this difference is not driven by the difference in the forecast target this finding may be explained by the incentives that analysts face and or by cognitive bias

persistent poverty and informal credit abstract this paper explores the consequences of nonlinear wealth dynamics for the formation of bilateral credit arrangements to help manage idiosyncratic risk using original data on expected wealth dynamics social networks and informal loans among southern ethiopian pastoralist households we find that the threshold at which expected wealth dynamics bifurcate serves as a focal point at which lending is concentrated informal lending responds to recipients losses but only so long as the recipients are not too poor our results suggest that when shocks can have long term effects loans are best understood as providing a safety net rather than a scale neutral insurance mechanism furthermore the persistently poor are excluded from social networks that are necessary to obtain loans given in response to shocks

measuring subjective expectations in developing countries a critical review and new evidence the majority of economic decisions taken by individuals are forward looking and thus involve their expectations of future outcomes understanding the expectations that individuals have is thus of crucial importance to designing and evaluating policies in health education finance migration social protection and many other areas however the majority of developing country surveys are static in nature and do not contain information on the subjective expectations of individuals possible reasons given for not collecting this information include fears that poor illiterate individuals do not understand probability concepts that it takes far too much time to ask such questions or that the answers add little value this paper provides a critical review and new analysis of subjective expectations data from developing countries and refutes each of these concerns the authors find that people in developing countries can generally understand and answer probabilistic questions such questions are not prohibitive in time to ask and the expectations are useful predictors of future behavior and economic decisions the paper discusses the different methods being tried for eliciting such information the key methodological issues involved and the open research questions the available evidence suggests that collecting expectations data is both feasible and valuable suggesting that it should be incorporated into more developing country surveys

earnings skewness and analyst forecast bias abstract we argue that if analysts objective is to provide the most accurate forecast by minimizing the mean absolute forecast error then the optimal forecast is the median instead of the mean earnings forecast bias is observed when the median is different from the mean in a skewed earnings distribution thus part of the observed analyst forecast bias could be a result of analysts efforts to improve forecast accuracy when the earnings distribution is skewed we find that earnings skewness is significantly related to analyst forecast bias we also provide evidence that the market adjusts for part of the skewness induced bias

analyst forecasting errors and their implications for security analysis a comparison of 66 100 consensus estimates of wall street analysts with reported earnings for a large sample of nyse amex and otc companies demonstrates that their forecasts differ significantly from actual reported earnings a minority of estimates fall within a range around reported earnings considered acceptable to many professional investors the error rates are not meaningfully affected by the business cycle or industry groupings the average error also appears to be increasing over time these findings question the use of finely calibrated earnings forecasts that are integral to the most common valuation models and indirectly question the valuation methods themselves

wealth inequality and intergenerational links previous work has had difficulty generating household saving behaviour that makes the distribution of wealth much more concentrated than that of labour earnings and that makes the richest households hold onto large amounts of wealth even during very old age i construct a quantitative general equilibrium overlapping generations model in which parents and children are linked by accidental and voluntary bequests and by earnings ability i show that voluntary bequests can explain the emergence of large estates while accidental bequests alone cannot and that adding earnings persistence within families increases wealth concentration even more i also show that the introduction of a bequest motive generates lifetime savings profiles more consistent with the data

the forecast accuracy of individual analysts evidence of systematic optimism and pessimism o brien 1990 examines the annual earnings forecast accuracy of individual analysts reporting to the institutional brokers estimate system ibes of lynch jones and ryan during july 1975 september 1982 using a regression model which adjusts for average firm and year effects o brien finds no evidence of differential forecast accuracy comparing individual analysts earnings forecasts to median consensus forecasts during 1983 86 we also find no statistically significant evidence of differential analyst forecast accuracy our result however does not mean that one analyst s forecasts are much like another s we find that analysts are persistently optimistic or pessimistic relative to consensus forecasts we examine this persistent behavior and its effect on measures of forecast accuracy over a sample

optimistic behavior when a decision bias is costly an experimental test the existence of optimism when biased decisions are costly is investigated experimentally subjects make an informed guess about an exogenously determined event the outside temperature a couple of days later payments in the control group depend only on how close the guess was to the realized temperature while payments in the treatment group also depend positively on realized temperature the data show the treatment group subjects to guess higher temperatures that is higher payments compared with the control group results thus indicate that there is optimism also when a decision bias is costly jel c91 d81 d84

market demand for conservative analysts abstract sell side analysts on balance have incentives to emphasize good company news and downplay the bad resulting in inefficient forecasts we conjecture that this behavior generates a demand for forecasts from conservative analysts who unwind this pattern at least in part resulting in more efficient forecasts to investigate we introduce a measure of analyst conservatism and assess the market reaction to analysts forecast revisions conditioned on their past levels of conservatism we find a stronger market reaction to forecast revisions by more conservative analysts and that this result is heightened for companies with greater institutional investor following

capital over the business cycle renting versus ownership we find that capital renting makes up one fifth of u s capital expenditures and it increases during downturns further we present cross country evidence that output losses after financial crises are smaller where renting is more prevalent to understand these findings we build a general equilibrium model with borrowing constraints and with the option to rent or buy capital the countercyclicality of rentals occurs because their supply increases as renting serves as an additional means of savings when credit markets malfunction moreover demand also shifts toward rentals as they become relatively cheaper by absorbing excess savings renting mitigates financial crises

unifying underreaction anomalies this paper asks whether momentum and postevent drift are manifestations of the same underlying mechanism or are separate phenomena we find that both effects can be attributed to persistence in returns following news that affects expected earnings or earnings growth holding these quantities fixed there is no momentum effect nor is there postevent drift for our sample of events which includes seasoned equity offerings repurchases equity financed mergers and dividend initiations and omissions the implication is that return continuation follows fundamental news in general and in aggregate this explains momentum

analysis of commodity prices with the particle filter the behavior of commodities prices is fundamental to real asset investment decisions hedging and pricing financial derivatives schwartz and smith schwartz e s smith j e 2000 short term variations and long term dynamics in commodity prices management science 46 893 911 proposed a two factor model for describing the stochastic processes of commodity prices in which the two factors are short term variations and equilibrium prices these are both unobserved state variables that are estimated using the kalman filter the estimation is based on the observation of future prices for different maturities the authors have carried out this process without incorporating jumps in the short term variation of prices here we aim to demonstrate that the inclusion of jumps better explains the behavior of oil prices and in fact creates difficulties in the estimation of state variables this is because the variables become non gaussian so the kalman filter is not recommended another methodology called the particle filter is more suitable in this case and we describe its application in this article

good day sunshine stock returns and the weather psychological evidence and casual intuition predict that sunny weather is associated with upbeat mood this paper examines the relationship between morning sunshine in the city of a country s leading stock exchange and daily market index returns across 26 countries from 1982 to 1997 sunshine is strongly significantly correlated with stock returns after controlling for sunshine rain and snow are unrelated to returns substantial use of weather based strategies was optimal for a trader with very low transactions costs however because these strategies involve frequent trades fairly modest costs eliminate the gains these findings are difficult to reconcile with fully rational price setting

reading the tea leaves model uncertainty robust forecasts and the autocorrelation of analysts forecast errors abstract we put forward a model in which analysts are uncertain about a firm s earnings process faced with the possibility of using a misspecified model analysts issue forecasts that are robust to model misspecification we estimate that this mechanism explains approximately 60 of the autocorrelation in analysts forecast errors the remainder stems from the cross sectional variation in mean forecast errors and in analysts estimation errors of the persistence of earnings growth shocks consistent with our model we find that analysts learn about some features of the earnings process but not others and this learning reduces but does not eliminate the autocorrelation of forecast errors as firms age other potential explanations for the autocorrelation of analyst forecast errors are rejected our model of robust forecasting applies not only to analysts forecasts but also to all model based forecasts

what good does doing good do the effect of bond rating analysts corporate bias on investor reactions to changes in social responsibility in this study we explore how investors reconcile information on firms social responsibility with analysts assessments of future firm risk in the pricing of long term bonds we ask whether investors pay attention to small strides toward and or small slips away from socially responsible behavior arguing that analysts corporate bias toward gains and against losses influences investor reactions to corporate social responsibility we hypothesize that analysts notice and reward improvements in social responsibility yet excuse lapses we find support for this hypothesis using a unique dataset of long term bonds that combines lagged measures of firm level financial and social performance with bond specific data pertaining to risk of default and pricing the empirically robust asymmetry in investor responses to small but often cumulative increases versus decreases in corporate social responsibility reveals an under examined root cause of longer term larger scale distortions in financial market returns regarding corporate social performance our findings elaborate earlier behavioral research on how corporate bias influences analysts short term assessments of economic risk by theorizing why this corporate bias may influence long term assessments of social risk our work also motivates more critical scrutiny of the role analysts play in revising the future risk of today s social action versus inaction

asset returns with transactions costs and uninsured individual risk abstract we explore whether incorporating an explicit motive for holding liquid assets within an equilibrium asset pricing model helps explain the following features of asset returns and turnover in the post war u s economy i the low risk free real interest rate ii the large spread between returns on liquid assets and stocks and iii the greater transaction velocity of liquid assets relative to stocks we introduce a demand for liquid assets by adding uninsured individual risk together with differential costs of trading securities numerical simulations attempting to match the return data generate a ratio of liquid assets to income considerably below observed levels

hmm filtering and parameter estimation of an electricity spot price model abstract in this paper we develop a model for electricity spot price dynamics the spot price is assumed to follow an exponential ornstein uhlenbeck ou process with an added compound poisson process in this way the model allows for mean reversion and possible jumps all parameters are modulated by a hidden markov chain in discrete time they are able to switch between different economic regimes representing the interaction of various factors through the application of reference probability technique adaptive filters are derived which in turn provide optimal estimates for the state of the markov chain and related quantities of the observation process the em algorithm is applied to find optimal estimates of the model parameters in terms of the recursive filters we implement this self calibrating model on a deseasonalised series of daily spot electricity prices from the nordic exchange nord pool on the basis of one step ahead forecasts we found that the model is able to capture the empirical characteristics of nord pool spot prices

a reexamination of analysts earnings forecasts for takeover targets abstract we examine analysts earnings forecasts for a sample of takeover targets and document that the announcement month forecasts are systematically revised upward supporting the hypothesis that a takeover announcement conveys favorable information about the target firm in addition we find that abnormal forecast revisions of future stand alone earnings are significantly greater for targets with low tobin s q ratios relative to targets with high q ratios lending further support to the information hypothesis finally we provide evidence that managerial resistance to the takeover does not destroy value our results are in direct contrast to pound 1988

parameter estimation in commodity markets a filtering approach abstract the application of kalman filtering methods and maximum likelihood parameter estimation to models of commodity prices and futures prices has been considered by several authors the usual method of finding the maximum likelihood parameter estimates mles is to numerically maximize the likelihood function we present as an alternative to numerical maximization of the likelihood a filter based implementation of the expectation maximization em algorithm that can be used to find the mles finite dimensional filters are derived that allow the mles of a commodity price model to be estimated from futures price data using the em algorithm without calculating kalman smoother estimates

resource extraction with a carbon tax and regime switching prices exercising your options this paper develops a model of a profit maximizing firm with the option to exploit a non renewable resource choosing the timing and pace of development the resource price is modelled as a regime switching process which is calibrated to oil futures prices a hamilton jacobi bellman equation is specified that describes the profit maximization decision of the firm the model is applied to a problem of optimal investment in a typical oils sands in situ operation and solved for critical levels of oil prices that would motivate a firm to make the large scale investment needed for oil sands extraction as well as to operate mothball or abandon the facility regime shifts can have an important effect on the optimal timing of investment and extraction the paper examines the effect of several carbon tax schemes on optimal timing of construction production and abandonment a form of green paradox is identified

electricity futures price models calibration and forecasting a new one factor model with a random volatility parameter is presented in this paper for pricing of electricity futures contracts it is shown that the model is more tractable than multi factor jump diffusion models and yields an approximate closed form pricing formula for the electricity futures prices on real market data it is shown that the performance of the new model compares favourably with two existing models in the literature viz a two factor jump diffusion model and its jump free version i e a two factor linear gaussian model in terms of ability to predict one day ahead futures prices further a multi stage procedure is suggested and implemented for calibration of the two factor jump diffusion model which alleviates the difficulty in calibration due to a large number of parameters and pricing formulae which involve numerical evaluation of integrals we demonstrate the utility of our new model as well as the utility of the calibration procedure for the existing two factor jump diffusion model by model calibration and price forecasting experiments on three different futures price data sets from nord pool electricity data for the jump diffusion model we also investigate empirically whether it performs better in terms of futures price prediction than a corresponding jump free linear gaussian model finally we investigate whether an explicit calibration of jump risk premium in the jump diffusion model adds value to the quality of futures price prediction our experiments do not yield any evidence that modelling jumps leads to a better price prediction in electricity markets

biased forecasts or biased earnings the role of reported earnings in explaining apparent bias and over underreaction in analysts earnings forecasts the extensive literature that investigates whether analysts earnings forecasts are biased and or inefficient has produced conflicting evidence and no definitive answers to either question this paper shows how two relatively small but statistically influential asymmetries in the tail and the middle of distributions of analysts forecast errors can exaggerate or obscure evidence consistent with analyst bias and inefficiency leading to inconsistent inferences we identify an empirical link between firms recognition of unexpected accruals and the presence of the two asymmetries in distributions of forecast errors that suggests that firm reporting choices play an important role in determining analysts forecast errors r 2003 elsevier b v all rights reserved

do sell side stock analysts exhibit escalation of commitment this paper presents evidence that when an analyst makes an out of consensus forecast of a company s quarterly earnings that turns out to be incorrect she escalates her commitment to maintaining an out of consensus view on the company relative to an analyst who was close to the consensus the out of consensus analyst adjusts her forecasts for the current fiscal year s earnings less in the direction of the quarterly earnings surprise on average this type of updating behavior reduces forecasting accuracy so it does not seem to reflect superior private information further empirical results suggest that analysts do not have financial incentives to stand by extreme stock calls in the face of contradictory evidence managerial and financial market implications are discussed

the paradox of liquidity the more liquid a firm s assets the greater their value in a short notice liquidation it is generally thought that a firm should find it easier to raise external finance against more liquid assets this paper focuses on the dark side of liquidity greater asset liquidity reduces the firm s ability to commit to a specific course of action as a result greater asset liquidity can in some circumstances reduce the firm s capacity to raise external finance firms with excessively liquid assets are in the best position to finance illiquid projects this leads us to a theory of financial intermediation and disintermediation based on the liquidity of assets

individual analyst characteristics and forecast error the purpose of the study reported here was to investigate how characteristics of analysts affect their forecast errors previous research has found positive serial correlation in forecast errors which can be attributed to underreaction to new information especially to bad news the relationship between an analyst s behavior and that analyst s characteristics is not clear however because most previous work was based solely on consensus estimates by using detailed historical data i found a stronger serial correlation among the herd to consensus analysts that is the group with a small average distance between their forecasts and the consensus forecast than among other analysts moreover average distance to consensus itself has a positive serial correlation and it may be attributed to an analyst s personality optimistic or pessimistic i found strong positive serial correlation in the average distance to consensus among the herd to consensus analysts these results show that herd to consensus ana

rationality and analysts forecast bias this paper proposes and tests a quadratic loos utility function for modeling corporate earnings forecasting where financial analysts trade off bias to improve management access and forecast accuracy optimal forecasts with minimum expected error are optimistically biased and exhibit predictable cross sectional variation related to analyst and company characteristics empirical evidence from individual analyst forecasts is consistent with the model s predictions these results suggest that positive and predictable bias may be a rational property of optimal earnings forecasts prior studies using classical notions of unbiasedness may have prematurely dismissed analysts forecasts as being irrational or inaccurate

seasonality and the valuation of commodity options price movements in many commodity markets exhibit significant seasonal patterns however given an observed futures price a deterministic seasonal component at the price level is not relevant for the pricing of commodity options in contrast this is not true for the seasonal pattern observed in the volatility of the commodity price analyzing an extensive sample of soybean corn heating oil and natural gas options we find that seasonality in volatility is an important aspect to consider when valuing these contracts the inclusion of an appropriate seasonality adjustment significantly reduces pricing errors in these markets and yields more improvement in valuation accuracy than increasing the number of stochastic factors

insecure land rights and share tenancy evidence from madagascar most studies of tenurial insecurity focus on its effects on investment this paper studies the hitherto unexplored relationship between tenurial insecurity and land tenancy contracts based on distinct features of formal law and customary rights in madagascar this paper augments the canonical model of sharecropping by making the strength of the landlord s property right increasing in the amount of risk she bears within the contract using data on landlords subjective perceptions in rural madagascar empirical tests support the hypothesis that insecure property rights drive contract choice but offer little support in favor of the canonical risk sharing hypothesis

long term debt and optimal policy in the fiscal theory of the price level the fiscal theory says that the price level is determined by the ratio of nominal debt to the present value of real primary surpluses i analyze long term debt and optimal policy in the fiscal theory i find that the maturity structure of the debt matters for example it determines whether news of future deficits implies current inflation or future inflation when long term debt is present the government can trade current inflation for future inflation by debt operations this tradeoff is not present if the government rolls over short term debt the maturity structure of outstanding debt acts as a budget constraint determining which periods price levels the government can affect by debt variation alone in addition debt policythe expected pattern of future state contingent debt sales repurchases and redemptionsmatters crucially for the effects of a debt operation i solve for optimal debt policies to minimize the variance of inflation i find cases in which long term debt helps to stabilize inflation i also find that the optimal policy produces time series that are similar to u s surplus and debt time series to understand the data i must assume that debt policy offsets the inflationary impact of cyclical surplus shocks rather than causing price level disturbances by policy induced shocks shifting the objective from price level variance to inflation variance the optimal policy produces much less volatile inflation at the cost of a unit root in the price level this is consistent with the stabilization of u s inflation after the gold standard was abandoned

consumption and risk sharing over the life cycle a striking feature of u s data on income and consumption is that inequality increases with age this paper asks if individual specific earnings risk can provide a coherent explanation we find that it can we construct an overlapping generations general equilibrium model in which households face uninsurable earnings shocks over the course of their lifetimes earnings inequality is exogenous and is calibrated to match data from the u s panel study on income dynamics consumption inequality is endogenous and matches well data from the u s consumer expenditure survey the total risk households face is decomposed into that realized before entering the labor market and that realized throughout the working years in welfare terms the latter is found to be more important than the former

conflicts of interest and analyst behavior evidence from recent changes in regulation regulation fd made analysts less dependent on insider information and diminished analysts motives to inflate their forecasts the global research analyst settlement had an even bigger impact on analyst behavior the mean forecast bias declined significantly whereas the median forecast bias essentially disappeared these results are similar for all analysts

financial analysts forecasts of earnings a better surrogate for market expectations abstract the specification of the market expectation of accounting numbers is a common feature of many empirical studies in accounting and finance givoly and lakonishok 1979 found that financial analysts forecasts have information content this study evaluates the quality of analysts forecasts as surrogates for the market expectation of earnings and compares it with that of prediction models commonly used in research results indicate that prediction errors of analysts are more closely associated with security price movements suggesting that analysts forecasts provide a better surrogate for market expectations than forecasts generated by time series models the study also identifies factors that might contribute to the performance of the financial analysts forecasts the broadness of the information set employed by analysts and to a lesser extent their reliance on information released after the end of the fiscal year appear to be important contributors to their performance

gender productive ability and the perceived returns to education evidence from rural india recent research has established the importance of perceived as opposed to actual returns as a determinant of educational investments we analyze data from india to highlight gender disparities in the perceived returns to education and the salience of productive characteristics

retracted relationship incentives and the optimistic pessimistic pattern in analysts forecasts we examine whether analysts incentives to maintain good relationships with management contribute to the optimistic pessimistic within period time trend in analysts forecasts in our experiments 81 experienced sell side analysts from two brokerage firms predict earnings based on historical information and management guidance analysts forecasts exhibit an optimistic pessimistic pattern across the two timing conditions early and late in the quarter and the effect is significantly stronger when the analysts have a good relationship with management than when their only incentive is to be accurate debriefing results indicate that analysts are aware of this pattern of forecasts and believe that this benefits their future relationships with management and with brokerage clients the analysts most frequently cite favored conference call participation and information access when describing benefits from maintaining good relationships with management our results suggest the following the optimistic pessimistic pattern in forecasts is in part a conscious response to relationship incentives information access is perceived to be a major benefit of management relationships and recent regulatory changes may have lessened but have not eliminated this conflict of interest source

lapm a liquidity based asset pricing model the intertemporal capm predicts that an asset s price is equal to the expectation of the product of the asset s payoff and a representative consumer s intertemporal marginal rate of substitution this paper develops an alternative approach to asset pricing based on corporations desire to hoard liquidity our corporate finance approach suggests new determinants of asset prices such as the distribution of wealth within the corporate sector and between the corporate sector and the consumers also leverage ratios capital adequacy requirements and the composition of savings affect the corporate demand for liquid assets and thereby interest rates starting with the capital asset pricing model capm derived by sharpe 1964 lintner 1965 and mossin 1966 market finance has emphasized the role of consumers time preference and risk aversion in determining asset prices the intertemporal consumption based asset pricing model e g rubinstein 1976 lucas 1978 breeden 1979 harrison and kreps 1979 cox ingersoll and ross 1985 hansen and jagannathan 1991 predicts that an asset s current price is equal to the expectation conditioned on current information of the product of the asset s payoff and a representative consumer s intertemporal marginal rate of substitution imrs while fundamental this dominant paradigm for pricing assets has some wellrecognized shortcomings see below and there is clearly scope for alternative and complementary approaches this paper begins developing one such approach based on aggregate liquidity considerations 1 our starting point is that the productive and financial spheres of the economy have autonomous demands for financial assets and that their valuations for these assets are often disconnected from the representative consumer s corporate demand for financial assets is driven by the desire to hoard liquidity in order to fulfill future cash needs in contrast with the

filtering and forecasting commodity futures prices under an hmm framework abstract we propose a model for the evolution of arbitrage free futures prices under a regime switching framework the estimation of model parameters is carried out using the hidden markov filtering algorithms comprehensive numerical experiments on real financial market data are provided to illustrate the effectiveness of our algorithm in particular the model is calibrated with data from heating oil futures and its forecasting performance as well as statistical validity is investigated the proposed model is parsimonious self calibrating and can be very useful in predicting futures prices

inefficiency in analysts earnings forecasts systematic misreaction or systematic optimism a rational analysis of analyst behavior predicts that analysts immediately and without bias incorporate information into their forecasts several studies document analysts tendency to systematically underreact to information underreaction is inconsistent with rationality other studies indicate that analysts systematically overreact to new information or that they are systematically optimistic this study discriminates between these three hypotheses by examining the interaction between the nature of information and the type of reaction by analysts the evidence indicates that analysts underreact to negative information but overreact to positive information these results are consistent with systematic optimism in response to information the literature on financial analysts defines the phrase forecast inefficiency to mean forecasts that fail to accurately incorporate new information on a timely basis and or that are biased these forecasts have also been described as irrational or suboptimal prior studies report inefficiency in analysts forecasts finding that they are upwardly biased and inaccurately reflect available information some studies conclude from this that analysts underreact to information other studies conclude that analysts overreact if markets treat analysts forecasts as both rational and statistically optimal then inefficient forecasts could have important implications for the efficiency of pricing in securities markets in this paper we reexamine the apparent tendency of analysts to misinterpret earnings information the intent of this study is to discriminate between three hypotheses 1 that analysts systematically underreact to new earnings information 2 that analysts systematically overreact to new earnings information and 3 that analysts are systematically optimistic in their reactions for hypotheses 1 and 2 the direction of the misinterpretation i e underor overreaction is independent of the nature of the information received in contrast hypothesis 3 predicts that analysts are optimistic in interpreting

bayesian herders updating of rainfall beliefs in response to external forecasts summary temporal climate risk weighs heavily on many of the world s poor model based climate forecasts could benefit such populations provided recipients use forecast information to update climate expectations we test whether pastoralists in southern ethiopia and northern kenya update their expectations in response to forecast information the minority of herders who received these climate forecasts updated their expectations for below normal rainfall but not for above normal rainfall this revealed preoccupation with downside risk highlights the potential value of better climate forecasts in averting drought related losses but realizing any welfare gains requires that recipients strategically react to these updated expectations

smoothing with liquid and illiquid assets abstract a quantitative examination of the demand for liquid assets arising from consumption smoothing motives reveals that such demand is very low consumers faced with income streams calibrated to match income and unemployment data and returns and transactions costs calibrated to match us treasury bill data almost exclusively buy and hold illiquid long term assets even though the return premium on long term assets is quite small this is because with standard preferences savings are highly persistent even when risky income is not in the calibrated model the first order autocorrelation of savings is an order of magnitude larger than that of income

precautionary saving in the small and in the large the theory of precautionary saving is shown to be isomorphic to the arrow pratt theory of risk aversion making possible the application of a large body of knowledge about risk aversion to precautionary saving and more generally to the theory of optimal choice under risk in particular a measure of the strength of the precautionary saving motive analogous to the arrow pratt measure of risk aversion is used to establish a number of new propositions about precautionary saving and to give a new interpretation of the dreze modigliani substitution effect copyright 1990 by the econometric society

climate change and index insurance demand evidence from a framed field experiment in tanzania abstract index insurance has been touted as part of an adaptation strategy to mitigate climate risks among smallholder farmers however in the face of increasing drought probabilities demand for index insurance may decrease compared to a scenario with no climate change if farmers learn slowly or place considerable weight on prior beliefs using data from a framed field experiment in tanzania we estimate a structural learning model based on a bayesian change point inference method and separately identify the effect of learning expectations recency bias and ambiguity on insurance demand furthermore by simulating the supply side of the insurance market under a set of plausible assumptions we show that climate change results in reduced uptake rates in most cases although demand may increase if the severity of climate change is sufficiently low overall our results provide an alternative explanation for the puzzle of low index insurance demand