forecasting model of rss3 price in futures market 3 abstract the agricultural futures market affects the rubber price in thailand rubber processors use the agricultural futures market to avoid risks associated with fluctuations in rubber price investors make profits from the difference between the current price and the future price this paper presents the forecasting models for futures price of the natural rubber ribbed smoked sheets no 3 rss3 the results from the most efficient model can inform the decision of investors on buying and selling at the proper time the study employs the least mean squared error as a criterion for the selection of the best prediction model it includes an analysis of factors affecting the rss3 futures prices in thailand s futures market the results show that the previous monthly futures prices and oil prices significantly affected the futures prices in the same direction the net import of natural rubber by japan was the leading indicator for the trend in rubber futures prices in thailand the analytical model was shown to be applicable and would facilitate related studies in forecasting the futures prices of other commodities time series data was found to be suitable for the forecasting model keywords futures price forecasting agricultural futures market

forecast accuracy of individual analysts in nine industries the purpose of this paper is to investigate whether financial analysts with superior earnings forecasting ability can be distinguished on the basis of ex post forecast accuracy i explore the question by estimating and comparing average accuracy across individuals and by considering whether the observed distribution of analyst forecast accuracies differs from the distribution expected if their relative performances each year were purely random overall i do not find systematic differences in forecast accuracy across individuals financial press coverage suggests there are superior financial analysts for example institutional investor s annual all american research team includes analysts rated by money managers as superior on a variety of criteria including earnings forecasting ability to pick stocks and the quality of written reports clearly financial analyst services other than forecast accuracy are valued by their clients i focus on only one activity earnings forecasting for two reasons first forecast data are available quantitative and can be evaluated against observable earnings outcomes services such as insightful well written research reports are harder to evaluate quantitatively second academic use of analyst forecasts as earnings expectations data in capital markets empir

sharing intellectual property rights an exploratory study of joint patenting amongst companies joint patenting by companies the sharing of property rights on inventions is a relatively unknown phenomenon that is generally seen by patent lawyers and firms alike as a second best option that if possible should be avoided however the number of joint patents has increased during the last couple of decades and despite its impopularity firms frequently engage in co ownership of patents this exploratory study is one of the first contributions that provides insight into relevant international legal complications of joint patenting sectoral trends and patterns and the motivation of companies to enter into these specific patenting agreements

the information content of annual earnings releases a trading volume approach this paper reports the results of an empirical examination of the relations between the volume of securities traded the magnitude of surprises in annual earnings announcements and firm size although early trading volume studies e g beaver 1968 kiger 1972 and foster 1973 replicated basic information content studies with findings similar to those based on security prices we should not expect that security price and trading volume research will continue to yield identical results when more refined hypotheses are tested trading volume reflects investors activity by summing all market trades whereas security prices reflect an aggregation or averaging of investors beliefs as a result we will on occasion observe differences between price and volume reactions to earnings announcements as did morse 1981 this study extends the recent trend toward tests of more refined hypotheses by using a larger sample to examine the associations between unexpected earnings firm size and trading volume and testing whether such associations can be generalized across fiscal year end dates and stock exchange listing my results show a continuous positive relationship between trading

composite forecasting approach application for next day electricity price forecasting abstract accurate forecasting of electricity prices can provide significant benefits to energy suppliers when allocating their assets and to energy consumers for defining an optimal portfolio there are numerous methods that efficiently support the forecasting of time series such as electricity prices which have high volatility however the performance of these approaches varies depending on data sets and operational conditions in this work the concept of composite forecasting is presented and implemented in a retrospective study in real industrial forecasting conditions to show the potential of forecast performance improvement and comparable high consistency of a forecast performance across different day peak and day base electricity price data sets for different seasons as individual methods support vector regression artificial neural networks and ridge regression are implemented the forecast performances of these methods are evaluated and compared with their forecast combination using different error measures the results show that composite forecasting processes with inverse root mean squared error combination approach can generate on average a more accurate and robust forecast than using an individual methods or other combination schemas

integration of discrepant sales forecasts the influence of plausibility inferences based on an evoked range abstract the authors hypothesize that when managers integrate two projections to form a sales estimate they evoke and use a sales range to judge inappropriately the plausibility of each projection this judged plausibility as well as the margin of error based on the market research company s typical accuracy is used to assign weights to each projection five experiments find strong evidence for this process and demonstrate a resulting bias

market share market value and innovation in a panel of british manufacturing firms this paper examines the empirical relationship between technological innovations market share and stock market value new developments in the estimation of dynamic count data models are used to control for unobserved firm specific heterogeneity we find a robust and positive effect of market share on observable headcounts of innovations and patents although increased product market competition in the industry tends to stimulate innovative activity furthermore the impact of innovation on market value is larger for firms with higher market shares we argue that our results are consistent with models where high market share firms have incentives to pre emptively innovate

combining day ahead forecasts for british electricity prices abstract this paper considers how well the approach of combining forecasts extends to the context of electricity prices with the increasing popularity of regime switching and time varying parameter models for predicting power prices the multi model and evolutionary considerations that usually support the combining of simpler time series methods may be less applicable when the individual models incorporate these features we address this question with a backtesting analysis on british day ahead prices furthermore given the volatility of power prices and concerns about accurate forecasting under extreme price excursions we evaluate the results using various error metrics including expected shortfall the comparisons are furthermore carefully simulated to consider model selection uncertainty in order to realistically test the value of combining as an ex ante policy overall our results support combining for both accurate operational planning and risk management

predictable behavior in financial markets some evidence in support of heiner s hypothesis recently ronald heiner 1983 has proposed a theory of predictable behavior which has its roots in what heiner labels a competence difficulty gap hereafter called a c d gap this gap is a measure of the spread between an economic agent s competence to make an optimizing decision and the difficulty of the decision problem heiner argues that as the c d gap widens the agent is increasingly likely to follow rule governed behavior and it is this rule governed behavior that produces observed regularities in economic behavior if there is no c d gap heiner argues that rule governed behavior would disappear and along with it the observed regularities instead unpredictable behavior characterized by constant perturbation would replace predictable behavior furthermore the dynamic properties of heiner s theory are characterized in his words by sudden switching behavior this switching behavior is described as a sudden reversal of previous behavior and a persistent movement in another direction or behavior of a different kind one of the casual or intuitive examples heiner offers for support of his theory is the switching between buying and selling strategies in financial markets resulting in sudden movement in stock prices p 582 this paper explores this idea and argues that there is more than intuitive support for heiner s speculation that in fact the behavior of daily price changes in financial markets conforms better to the prediction of heiner s theory than to standard efficient market theory predictions

resources transactions and rents managing value through interfirm collaborative relationships this paper offers a theoretical explanation for why interfirm collaborations form yet fail and further suggests how firms might manage them for a more positive outcome based on a perspective of value we explain how a more inclusive and integrative perspective one which combines elements from transaction costs and resource based theory provides more robust insight into collaboration formation management and instability in doing so we differentiate rent yielding firm specific assets at the core of the resource based view from the transaction specific assets at the core of transaction cost theory the paper makes a crucial distinction between the potential value attainable through collaborations and its actual realization the crux of our argument is that firms enter into collaborative relationships because these are expected to yield superior value relative to alternate organizational forms in certain situations offering potentially synergistic combinations of complementary resources and capabilities yet such relationships are frequently prone to failure because the partner firms tend not to recognize ex ante the nature and extent of transaction specific investment that is required in the collaborative relationship to attain these synergies in our argument critically the relationship between organizations is seen not simply as a governance structure of a hybrid nature but more importantly as a productive resource for value creation and realization in this light transaction specific investment in what we term relational specificity becomes imperative in the search for value we explain why the transaction costs incurred in the exchange of resources are not independent of the nature of resources to be transacted and similarly why the returns realized from these resources are not independent of the relationship and transaction specific expenditures incurred in effectively combining them and maintaining the combination the interdependence between the two mediated by the quality of the relationship has direct implications for the earning of rents through collaborations these relationship specific expenditures can be of an internally generated nature endogenous to the alliance form itself and need not exceed alternative forms while the associated benefits have the capacity to potentially exceed the alternatives this translates into potentially superior value the paper contributes in three key related ways a the explicit recognition of the relationship as a value bearing asset embedded in a larger and endogenous institutional context namely a system of resource relationships both intraorganizational and inter organizational among partner firms and the collaboration b the recognition of the evolving relationship between production and exchange which at the level of the collaboration is directly dependent on the nature evolution and dynamics of the relationship among the parties to the transaction and c the provision of a nontrust explanation for why firms might knowingly forego opportunities to take advantage of their partners drawing from this the paper occasions a a shift in focus from the form to the process of governance which has direct implications for value creation and realization and b a shift in the primary identity of transaction specific and relationship specific expenditures from cost to investment in future value

which dreams come true endogeneity industry structure and forecasting accuracy forecasts are plentiful accurate long range forecasts are rare but some forecasts are more accurate than others are and a few are very accurate in this paper we first explore the case of moore s law a forecast that has proven quite accurate for almost 40 years we illustrate how expectations that moore s law will continue to be accurate actually make it accurate based on the insights of this case we hypothesize that two factors facilitate such self fulfilling forecasts and so make accuracy more possible we test these hypotheses on a set of 3142 forecasts about us manufacturing industries during the 1970s we find that high industry concentration and high control over the predicted variable tend to increase the accuracy of forecasts copyright 2003 oxford university press

the effectiveness of alternative preference elicitation procedures in predicting choice in a large scale national study the authors evaluated the effectiveness of several preference elicitation techniques for predicting choices the criteria for accuracy included both individual hit

modifying variability and correlations in winner take all contests we consider contests with a fixed proportion of winners based on relative performance special attention is paid to winner take all contests which we define as contests with relatively few winners receiving relatively large awards but we consider the full range of values of the proportion of winners if a contestant has the opportunity to modify the distribution of her performance what strategy is advantageous when the proportion of winners is less than one half a riskier performance distribution is preferred when this proportion is greater than one half it is better to choose a less risky distribution using a multinormal model we consider modifications in the variability of the distribution and in correlations with the performance of other contestants increasing variability and decreasing correlations lead to improved chances of winning when the proportion of winners is less than one half and the opposite directions should be taken for proportions greater than one half thus it is better to take chances and to attempt to distance oneself from the other contestants i e to break away from the herd when there are few winners a more conservative herding strategy makes sense when there are many winners our analytical and numerical results indicate that the probability of winning can change substantially as variability and or correlations are modified furthermore in a game theoretic setting in which all contestants can make modifications choosing a riskier less risky performance distribution when the proportion of winners is low high is the dominant best response strategy we briefly consider some practical issues related to the recommended strategies and some possible extensions

discrete expectational data and portfolio performance in this article we examine the information content in analysts recommendations which are made on a five point buy hold or sell scale our data set includes data on 10 000 forecasts per month unlike most prior studies our data set does not suffer from selection or survivorship bias we find information in analysts changes in recommendations approximately 4 5 extra return can be earned by purchasing new buys rather than new sells

constructing density forecasts from quantile regressions the departure from the traditional concern with the central tendency is in line with the increasing recognition that an assessment of the degree of uncertainty surrounding a point forecast is indispensable clements 2004 we propose an econometric model to estimate the conditional density without relying on assumptions about the parametric form of the conditional distribution of the target variable the methodology is applied to the u s unemployment rate and the survey of professional forecasts specification tests based on koenker and xiao 2002 and gaglianone et al 2011 indicate that our approach correctly approximates the true conditional density

combining economic forecasts a method for combining forecasts may or may not account for dependence and differing precision among forecasts in this article we test a variety of such methods in the context of combining forecasts of gnp from four major econometric models the methods include one in which forecasting errors are jointly normally distributed and several variants of this model as well as some simpler procedures and a bayesian approach with a prior distribution based on exchangeability of forecasters the results indicate that a simple average the normal model with an independence assumption and the bayesian model perform better than the other approaches that are studied here

forecaster diversity and the benefits of combining forecasts the expected error variance of a combined forecast is necessarily lower than that of an individual forecast but in practice there may be considerable variation around these expected values this paper introduces a measure of the benefit from combining the probability of a reduction in error variance which recognizes this problem the measure is applied to data on the forecasts and forecasting methods of a panel of u s economists to determine how the benefits of combining vary with the number of forecasts combined and with the diversity in theories and techniques among the component forecasts

comparing time series and survey forecasts of weekly changes in money a methodological note measured as the difference between the announced change and the expected change derived from the money market services inc weekly survey of government securities dealers unlike other survey measures of expectations the most notable example of which is the livingston survey data these expectations are formed by active market participants consequently the survey s forecast made public before the fed s announcement of the actual change in the money stock is commonly thought to represent the market s expectation the concern in this paper is not with the impact of unanticipated money changes on nominal interest rates the purpose is to compare the relative forecasting abilities of the survey predictions and those obtained from a timeseries model this question is of interest because the weekly money series used in previous research includes certain abnormal weeks in which exogenous factors may significantly alter the series stochastic properties see for example cornell 1 urich and wachtel 9 thus the influence of these abnormal weeks weeks that include benchmark revisions changes in seasonal factors and weeks in which there is a social security effect is examined by comparing forecasting results for two samples one includes these weeks and the other deletes them following pearce 6 this approach allows us to test the hypothesis that the survey responses are at least weak form rational and to see how sensitive this test is to the sample of weeks used unlike previous studies we use two survey forecast series the median forecast made public prior to the announced change in ml and the mean series constructed from individual respondents forecasts zarnowitz s 10 examination of the asa nber survey forecasts indicates that the mean forecast is on average statistically superior to the median this finding is based on the idea that the mean forecast uses a more informationally diverse data set consequently it is

marketing information a competitive analysis selling information that is later used in decision making constitutes an increasingly important business in modern economies jensen jensen fred o 1991 information services congram friedman eds the ama handbook of marketing for the service industries chapter 22 ama com new york 423 443 information is sold under a large variety of forms industry reports consulting services database access and or professional opinions given by medical engineering accounting financial and legal professionals among others this paper is the first attempt in marketing to study competition in the rapidly emerging information sector specifically we are interested in answering the following questions 1 is competition fundamentally different when competing firms sell information rather than traditional goods and services and if yes why 2 what are the implications of such differences for decision makers marketers and regulators 3 can we explain some of the observed marketing strategies in the information industry as such the audience of the paper includes academics as well as professionals who are interested in understanding what is specific about competition in information markets familiarity with the practical implications of such differences and understanding of the mechanisms that drive them is essential for those who are faced with the problem of marketing information to answer the above research questions we build a simple game theoretic model that consists of two firms selling information to a population of consumers who are heterogeneous in their willingness to pay for the quality of information the most important features of the model are the following information products sold by the two firms are modeled as random draws from two normal distributions having equal mean the variances of these distributions and their correlatedness constitute the product attribute space which is assumed to be common knowledge consumers are interested in assessing the mean of the distributions and to do so they can buy the sample from any of the firms or they can buy both samples and combine them to obtain a more accurate estimate quality of information is linked to the accuracy of consumers estimate of the mean which in turn is influenced by the accuracy of each sample as well as by their correlatedness consumers utility depends on the quality of information they purchased on their inherent utility for quality taste and on the total price they paid to acquire information knowing consumer preferences firms simultaneously price their information products the main finding of the paper is that information markets face unique competitive structures in particular the qualitative nature of competition changes depending on basic product characteristics while traditional products and services compete either as substitutes or as complements in the relevant product attribute space information may be one or the other depending on its position within the same product attribute space said differently the nature of competition changes qualitatively with a continuous change in basic product attribute levels the intuition behind this finding is the following when purchasing information consumers facing important decisions may find it beneficial to purchase from several information sellers this is more likely to happen when the reliability of information is low and the sources of information are independent under such conditions information products tend to be complements and as a result competition between sellers is relatively mild in the opposite case when information is reliable and or sellers sources are highly correlated consumers are satisfied after consulting a single source in this case information products are substitutes and sellers tend to undercut one another s prices to induce consumers to choose their brand understanding this discontinuity in competitive structures has important implications for decision makers as very different strategies are optimal under different product characteristics under substitution traditional strategies to avoid competition e g differentiation are recommended when the competing products reliability is generally low they are complements firms are better off accommodating competition in fact we find that a firm may benefit from inviting a competitor finally our findings are also important for regulators of information markets as the literature on complementarity suggests price fixing agreements between firms offering complementary products may benefit firms as well as consumers

optimal aggregation of money supply forecasts accuracy profitability and market efficiency we present a general procedure for aggregating expert forecasts which exploits regularities in the structure of information within the forecaster population specific information structures lead to aggregation methods which adjust for additive bias differences in individual accuracy and correlation among forecasts as an application we construct composite predictions of the weekly change in the money supply from forecasts made by twenty major securities dealers for which high positive correlation is found to be a significant characteristic due to instability in the information structure our methods cannot improve on the accuracy of a simple average in this case however they do capture information about the correlation among money supply forecasts which is not fully impounded in short term interest rates forecasts from our models accurately predict the direction of price changes for treasury bills and treasury bill futures after a money supply announcement the adjustment of prices to information in financial markets has been studied at length mostly from the perspective of the efficient markets hypothesis market efficiency tests typically look at the behavior of prices the end product

forecasting with temporal hierarchies this paper introduces the concept of temporal hierarchies for time series forecasting a temporal hierarchy can be constructed for any time series by means of non overlapping temporal aggregation predictions constructed at all aggregation levels are combined with the proposed framework to result in temporally reconciled accurate and robust forecasts the implied combination mitigates modelling uncertainty while the reconciled nature of the forecasts results in a unified prediction that supports aligned decisions at different planning horizons from short term operational up to long term strategic planning the proposed methodology is independent of forecasting models it can embed high level managerial forecasts that incorporate complex and unstructured information with lower level statistical forecasts our results show that forecasting with temporal hierarchies increases accuracy over conventional forecasting particularly under increased modelling uncertainty we discuss organisational implications of the temporally reconciled forecasts using a case study of accident emergency departments

information diversity and market behavior a reply professor minassian has raised technical points regarding my paper which for the most part seem to be well founded though not crucial to the basic results in this reply my objective will be to discuss what these mean in the context of the model and to offer slightly revised statements of theorems 1 and 3 to eliminate the problems equation 1 which duplicates equation 9 in 1 gives the following expression for the expected profits earned by trader i from trading in a pure speculative market

giffen goods and the law of demand the paradoxical aspect of the giffen paradox is the inability of demand theory to explain why giffen goods are apparently so rare the resolution of the paradox arises from the distinction between the shape of market demand curves and the sequence of equilibrium prices that will be observed in markets in which quantity supplied changes the sense in which the giffen case is unlikely to occur is that the probability of identifying a giffen good is less than the probability that such a good exists

aggregating subjective forecasts some empirical results the impact on forecast accuracy of aggregating the subjective forecasts of up to 13 individuals was examined for five forecast weighting methods equal weighting two ex post methods that took advantage of prior information about the individuals relative accuracy and two ex ante methods based on objective and subjective assessments of relative accuracy the individuals were executives managers and sales personnel employed by time inc and the variable forecasted was the number of advertising pages sold annually by time magazine over a 14 year period the results show that both the average forecast error and the variance of the error decrease as additional individuals forecasts are included in the aggregate only two to five individuals forecasts must be included to achieve much of the total improvement available from combining all 13 forecasts three of the differential weighting methods produced more accurate forecasts than equal weighting but the magnitude of the improvement was small implications for realistic forecasting situations are discussed as are conditions under which the use of aggregates seems attractive

automated earnings forecasts beat analysts or combine and conquer prior studies attribute analysts forecast superiority over time series forecasting models to their access to a large set of firm industry and macroeconomic information an information advantage which they use to update their forecasts on a daily weekly or monthly basis a timing advantage this study leverages recently developed mixed data sampling midas regression methods to synthesize a broad spectrum of high frequency data to construct forecasts of firm level earnings we compare the accuracy of these forecasts to those of analysts at short horizons of one quarter or less we find that our midas forecasts are more accurate and have forecast errors that are smaller than analysts when forecast dispersion is high and when the firm size is smaller in addition we find that combining our midas forecasts with analysts forecasts systematically outperforms analysts alone which indicates that our midas models provide information orthogonal to analysts our results provide preliminary support for th

the role of the business model in capturing value from innovation evidence from xerox corporation s technology spin off companies this paper explores the role of the business model in capturing value from early stage technology a successful business model creates a heuristic logic that connects technical potential with the realization of economic value the business model unlocks latent value from a technology but its logic constrains the subsequent search for new alternative models for other technologies later on an implicit cognitive dimension overlooked in most discourse on the topic we explore the intellectual roots of the concept offer a working definition and show how the xerox corporation arose by employing an effective business model to commercialize a technology rejected by other leading companies of the day we then show the long shadow that this model cast upon xerox s later management of selected spin off companies from xerox parc xerox evaluated the technical potential of these spin offs through its own business model while those spin offs that became successful did so through evolving business models that came to differ substantially from that of xerox the search and learning for an effective business model in failed ventures by contrast were quite limited

averages of forecasts some empirical results an alternative to using a single forecasting method is to average the forecasts obtained from several methods in this paper we investigate empirically the impact of the number and choice of forecasting methods on the accuracy of simple averages it is concluded that the forecasting accuracy improves and that the variability of accuracy among different combinations decreases as the number of methods in the average increases thus combining forecasts seems to be a reasonable practical alternative when as is often the case a true model of the data generating process or a single best forecasting method cannot be or is not for whatever reasons identified

probabilistic decision model of wind power investment and influence of green power market this paper presents results from a model of a representative wind power investor s decision making process using a monte carlo simulation of a project financial analysis data in the form of probability distribution functions pdfs for key input variables were collected from interviews with investors and other professionals active in the u s wind power industry using a formal expert elicitation protocol this study presents the first quantitative estimates of the effect of the u s voluntary renewable energy certificate rec market on renewable energy generation the results indicate that the investment decisions of wind power project developers in the united states are unlikely to have been altered by the voluntary rec market the problem with the current voluntary rec market is that it does not offer developers a reliable risk adjusted revenue stream consequently the claims by u s green power retailers and promoters that voluntary market recs result in additional wind power projects lack credibility even dramatic increases in voluntary market rec prices in the absence of long term contracts were found to have only a small effect on investor behavior

inferior good and giffen behavior for investing and borrowing 1971 shows that the risky asset is a normal good its demand is increasing with income or wealth if the arrow pratt measure of absolute risk aversion is decreasing arrow also proves that a sufficient condition for the income elasticity of demand for the risk free asset to be greater than one is that relative risk aversion is increasing aura diamond and geanakoplos 2002 point out that these two results together imply that both assets are normal goods however if one relaxes either the assumption that the risk free asset is held long or that preferences exhibit increasing relative risk aversion we show that the risk free asset can be an inferior good moreover it can even be a giffen good where cor responding to an own price increase the asset s positive income effect swamps the negative substitution effect resulting in increased demand what is particularly sur prising is that both inferior and giffen good behavior can be exhibited for members of the widely popular hara hyperbolic absolute risk aversion family of utility functions 1 this is in contrast to much of the classic demand theory literature where very special forms of utility need to be constructed to produce giffen behavior see for instance doi iwasa and shimomura 2009 we consider two examples of hara utility functions of the form w x x a where 1 x denotes consumption and absolute risk aversion is decreasing for the case where a 0 this utility satisfies the arrow requirement of increasing relative risk aversion but when the risk aversion parameter is sufficiently large the risk free asset will always be an inferior good over some income range where it is held short for a 0 where relative risk aversion is decreasing we show that the risk free asset will always be a giffen good for some combination of prices and income moreover distinct regions in the price income space are identified where the risk free asset exhibits normal good inferior good and giffen behavior in fact the only member of the hara class for which the risk free and risky assets are both always normal goods is the very special constant relative risk aversion crra form 2 we also provide a non hara example for which relative

robust min max portfolio strategies for rival forecast and risk scenarios we consider an extension of the markowitz mean variance optimization framework to multiple return and risk scenarios it is well known that asset return forecasts and risk estimates are inherently inaccurate the method proposed provides a means for considering rival representations of the future the optimal portfolio is computed simultaneously with the worst case to take account of all rival scenarios this is a min max strategy which is essentially equivalent to a robust pooling of the scenarios robustness is ensured by the noninferiority of min max for example a basic worst case optimal return is guaranteed in view of multiple return scenarios if robustness happens to have too high a cost guided by the min max pooling it is also possible to explore other pooling alternatives a min max algorithm is used to solve the problem and illustrate the robust character of min max with return and risk scenarios we study the properties of the min max risk return frontier and compare with the potentially suboptimal worst case where the investment strategy and the worst case are computed separately 2000 elsevier science b v all rights reserved jel classixcation c44 c61 c63 g11

testing for forecast consensus a panel of forecasts may be defined to be in consensus when individual forecasters place identical weights on a common latent variable we suggest this definition and formulate a dynamic latent variable model to test for consensus this method also tests whether it is valid to use the mean forecast as the consensus forecast in applications to surveys of u s macroeconomic forecasters there is greater consensus in forecasts for output growth than for inflation or unemployment but idiosyncratic forecast autocorrelation from year to year is present for most forecasters

a note on testing an aggressive investment strategy using value line ranks one of the better known investment advisory services is the value line investment survey an unresolved debate has been in progress in the literature for a decade as to whether the performance of the value line investment service is inconsistent with the efficient market hypothesis for example black 2 states that the vl system can produce extra returns even when transaction costs are considered but he does not report his exact test procedure or any quantitative results of his study on the other hand kaplan and weil 10 11 do not believe that vl can generate abnormal returns we shall show in the following sections that the vl system represents a borderline case when transaction costs are neglected abnormal returns are obtained when realistic transaction costs are used active trading according to vl recommendations does not yield abnormal returns for a buy and hold policy however vl recommendations do yield abnormal returns even when transaction costs are considered

improving patent valuations for management purposes validating new indicators by analyzing application rationales abstract this paper analyzes the validity of so far untested indicators of patent value to enhance the quality of patent assessments using indicators at the corporate level the article expands the theory by eliciting patent attorneys filing rationales to maximize profits from protecting intellectual property to inspire the computation of new value indicators including patent full texts then based on a newly compiled data set consisting of 813 ep patents the probability of an opposition against a patent is modeled by established and new value indicators the results show that accelerated examination requests and qualified word counts enhance the quality of existing valuation methods

consensus forests of corporate earnings analysts forecasts and time series methods an alternative to using a single forecasting method is to average the forecasts made by various methods in this paper we examine empirically combinations of financial analysts forecasts and forecasts from time series methods in order to predict corporate earnings per share we conclude that on average the primary forecasting advantages of analysts over time series methods based on annual data appear to occur over short forecast horizons less than a year neither analysts nor other time series methods substantially outperform a random walk prediction of no change when forecasts are made near the beginning of the fiscal year for predictions in the first half of the fiscal year there is evidence of forecasting benefits from combining time series and analysts forecasts especially if there are few analysts forecasts

average of forecasts an improvement stein rules are used in forming combination forecasts such forecasts have smaller prediction risk under certain conditions than the preferred method of average of forecasts the new composite forecasts will be theoretically biased but are likely to have smaller mean squared error of forecasts as shown in the empirical exercises examined when the forecasts appear to be unbiased and have a common mean lindley type combination is most useful

co ownership of intellectual property exploring the value appropriation and value creation implications of co patenting with different partners combining both interview data and empirical analyses at the patent and firm levels we explore the value appropriation and value creation implications of r d collaboration resulting in the co ownership of intellectual property i e co patents we make an explicit distinction between three different types of co patenting partners intra industry partners inter industry partners and universities our findings indicate that the value appropriation challenges of ip sharing are clearly evident with intra industry co patenting where partners are more likely to encounter overlapping exploitation domains co patenting with universities is associated with higher market value since appropriation challenges are unlikely to play a role and collaboration may signal novel technological opportunities although we find some evidence that co patenting corresponds to higher patent value patents co owned with firms are significantly less likely to receive self citations indicating constraints on the future exploitation and development of co owned technologies

what percentage of innovations are patented empirical estimates for european firms abstract a 1993 survey on the innovative activities of europe s largest industrial firms obtained useable results on patenting activities for 604 respondents the data are used to calculate the sales weighted propensity rates for 19 industries the propensity rates equal the percentage of innovations for which a patent application is made the propensity rates for product innovations average 35 9 varying between 8 1 in textiles and 79 2 in pharmaceuticals the average for process innovations is 24 8 varying from 8 1 in textiles to 46 8 for precision instruments only four sectors have patent propensity rates for both product and process innovations combined that exceed 50 pharmaceuticals chemicals machinery and precision instruments regression results that control for the effect of industry sector show that patent propensity rates increase with firm size and are higher among firms that find patents to be an important method for preventing competitors from copying both product and process innovations the effect of secrecy is not so straightforward firms that find secrecy to be an important protection method for product innovations are less likely to patent as expected but secrecy has little effect on the propensity to patent process innovations the r d intensity of the firm has no effect on patent propensity rates for both product and process innovations the sector of activity has a strong influence on product patent propensities but very little effect on process patent propensities after controlling for the effect of other factors

market response to the weekly money supply announcements in the 1970s the hypothesis that the weekly announcement of the money supply affects interest rates is examined the announcement effect is interpreted as a policy anticipation effect that is an unanticipated increase in the money supply leads to an increase in interest rates in anticipation of future tightening by the federal reserve estimates of this effect with proxies for the unanticipated change constructed from a survey of money supply forecasts and an arima model indicate that a financial markets respond very quickly to the announcement and b the response was largest when policymakers emphasized the importance of the monetary aggregates financial market participants are careful observers of the weekly money supply announcement and generally agree that the announcement often leads to changes in interest rates this occurs because the announcement leads market participants to revise their expectations both of future federal reserve policy actions and of future economic conditions in this paper we examine the response of yields on treasury bills to the announcement of the money supply and the extent to which that response has varied in the last ten years money supply announcements may affect market interest rates in three ways first actual expansion of the money supply leads to lower interest rates through a liquidity effect however rapid monetary growth which is not anticipated leads market participants to expect the federal reserve to counteract such growth in the future as a consequence there may be a policy anticipation effect which causes higher interest rates in anticipation of future tightening furthermore prolonged rapid monetary growth also creates inflation and inflationary expectations which lead to higher interest rates thus there may exist a third effect the inflationary expectations effect which also leads to higher interest rates our interest in this paper is in the immediate market response to the weekly announcement of the money supply which as we argue below is most likely to be a policy anticipation effect the policy anticipation effect is best described by example suppose that the announced change in the money supply exceeds that which was expected by

a two factor model to combine us inflation forecasts the combination of individual forecasts is often a useful tool to improve forecast accuracy the most commonly used technique for forecast combination is the mean and it has frequently proved hard to surpass this study considers factor analysis to combine us inflation forecasts showing that just one factor is not enough to beat the mean and that the second one is necessary the first factor is usually a weighted mean of the variables and it can be interpreted as a consensus forecast while the second factor generally provides the differences among the variables and since the observations are forecasts it may be related with the dispersion in forecasting expectations and in a sense with its uncertainty within this approach the study also revisits friedman s hypothesis relating the level of inflation with expectations uncertainty at the beginning of the twenty first century

giffen goods the survival imperative and the irish potato culture this paper modifies the modern explanation of giffen behavior by incorporating the classical emphasis on subsistence specifically the calculated redirection of consumption priorities by those reduced to subsistence income levels is embodied in the utility function and the biological necessity of consuming sufficient nutrition to support health is modeled as a subsistence constraint this methodology is then applied to the potato culture that existed in ireland prior to the 1845 48 famine it is suggested that the evolution of this culture was shaped by subsistence driven behavior similar to the behavior that underlies the giffen effect

indivisibilities inferior goods and giffen goods the paper shows how the presence of an indivisible good can cause a divisible good to be inferior and possibly giffen indivisibility is shown to be central to a discussion by j r hicks on inferior goods

in search of complementarity in innovation strategy internal r d and external knowledge acquisition empirical research on complementarity between organizational design decisions has traditionally focused on the question of existence of complementarity in this paper we take a broader approach to the issue combining a productivity and an adoption approach while including a search for contextual variables in the firms strategy that affects complementarity analysis of contextual variables is not only interesting per se but also improves the productivity test for the existence of complementarity we use our empirical methodology to analyze complementarity between innovation activities internal research and development r d and external knowledge acquisition our results suggest that internal r d and external knowledge acquisition are complementary innovation activities but that the degree of complementarity is sensitive to other elements of the firms strategic environment we identify reliance on basic r dthe importance of universities and research centers as an information source for the innovation processas an important contextual variable affecting complementarity between internal and external innovation activities

network embeddedness and new product development in the biopharmaceutical industry the moderating role of open innovation flow this paper explores the role of centrality and structural holes positions on the likelihood to develop new products and the moderating role of the open innovation flow a measure of the net knowledge flow crossing the firm s boundaries on the aforementioned relation we argue that network positions provide the information content to the firm whilst open innovation flow describes how the firm uses such content thus the combination of these two concepts has a significant impact on new product development we test the theoretical framework on a large sample of 544 public companies and data from 1758 agreements among 1890 bio pharmaceutical firms through the period 2006 2010 our results show that being centrally located in the network positively affects the new product development process while having a structural holes position has no effect on the aforementioned performance however the interaction of the two network positions with the open innovation flow has a positive impact on the likelihood to develop new products

market value r d and patents abstract a significant relationship is found between the market value of the firm and its intangible capital proxied by past r d expenditures and the number of patents based on a time series cross section analysis of data for large u s firms

who co operates for innovation and why an empirical analysis abstract in recent years there has been growing interest in co operative arrangements for innovation with some commentators arguing innovation is no longer the province of individual firms but depends increasingly on collective action this paper examines the response to the uk s version of the second european community innovation survey cis 2 to investigate the patterns of co operation between innovating firms and external partners the analysis shows the relationship between innovation and co operation is not straightforward from a subjective i e firm based perspective it is clear that most firms still develop their new products processes and services without forming formal co operative arrangements for innovation with other organisations however firms that engage in r d and that are attempting to introduce higher level innovations i e new to the market rather than new to the firm innovations are much more likely to engage in co operative arrangements for innovation consequently if an objective i e innovation based perspective is taken which weighs innovations by their significance then it is likely that a significant proportion of high level innovations are developed through co operative arrangements although unfortunately the cis 2 does not indicate the direct significance of these arrangements to the development of the innovations in summary the extent of co operative arrangements for innovation appears to depend on the type of firms being considered and on what is meant by innovation

ownership and control rights in internet portal alliances 1995 1999 we examine the structure of more than 100 alliances by internet portals and other firms between 1995 to 1999 from a contract theory perspective models of incomplete contracts frequently invoke unforeseen contingencies the cost of writing contracts and the cost of enforcing contracts in justifying the assumption of incompleteness the setting in which internet portals formed alliances was rife with these sorts of transaction costs we argue that these alliances can be viewed as incomplete contracts and find that the division of ownership and the allocation of control rights are consistent with the incomplete contracting literature copyright 2003 by the rand corporation

accounting information disclosure and the cost of capital in this paper we examine whether and how accounting information about a firm manifests in its cost of capital despite the forces of diversification we build a model that is consistent with the capital asset pricing model and explicitly allows for multiple securities whose cash flows are correlated we demonstrate that the quality of accounting information can influence the cost of capital both directly and indirectly the direct effect occurs because higher quality disclosures affect the firm s assessed covariances with other firms cash flows which is nondiversifiable the indirect effect occurs because higher quality disclosures affect a firm s real decisions which likely changes the firm s ratio of the expected future cash flows to the covariance of these cash flows with the sum of all the cash flows in the market we show that this effect can go in either direction but also derive conditions under which an increase in information quality leads to an unambiguous decline in the cost of capital

estimates of the value of patent rights in european countries during the post 1950 period this paper examines the distribution of the values of patent rights in the united kingdom france and germany during the post 1950 period these values are inferred from the behavior of patentees with respect to payment of renewal fees on their patents a simple economic model of renewal decisions is combined with data on the proportion of patents renewed at alternative ages and the renewal fee schedules to produce estimates of the distribution and the total value of patent rights in these countries moreover the data indicate that there have been changes in the value distribution and we follow these changes over the period the empirical results of particular interest concern the total value of patent rights and the relationship between changes in it and changes in the quantity of patents the skew in the distribution of patent values and the rate of obsolescence on the returns to patents

a tale of two cities and a giffen good a scenario is provided in which a house in eden mills ontario is a giffen good the conditions derived in the example apply to other indivisible goods as well jel classification d11

a penny for your quotes patent citations and the value of innovations the use ofpatents in economic research has been seriously hindered by the fact that patents vary enormously in their importance or value and hence simple patent counts cannot be informative about innovative output the purpose of this article is to put forward patent counts weighted by citations as indicators of the value of innovations thereby overcoming the limitations of simple counts the empirical analysis of a particular innovation computed tomography scanners indeed shows a close association between citation based patent indices and independent measures of the social value of innovations in that field moreover the weighting scheme appears to be nonlinear increasing in the number of citations implying that the informational content of citations rises at the margin as in previous studies simple patent counts are found to be highly correlated with contemporaneous rd however here the association is within afield over time rather than cross sectional

information processing moderators of the effectiveness of trust based governance in interfirm r d collaboration it is generally assumed that improved outcomes accompany the use of trust as a governance mechanism in an interfirm relationship briefly trust is a social lubricant that reduces the friction costs of existing trade and or serves to increase the scope of trade in contrast to this universalistic view we posit that the performance of trust based governance is contingent on the ability of trading partners to read each other and learn about counterpart behavior these information processing abilities allow firms to assess partner trustworthiness better which reduces the risk of misplaced trust the increased efficacy of communication and learning from one another also enables them to better capitalize from the adaptation and revision possibilities uncovered through trust based governance during the task execution phase given the central role of these cognitive requirements we assess these contingent effects with data from a knowledge intensive task setting using a sample of 129 firms that have engaged outside contractors on client sponsored r d projects we find strong support for our thesis specifically we find that trust based governance has a larger positive impact on task performance when the client is more skilled at understanding the outsourced tasks at hand the task itself requires skills that are relatively more readily taught less tacit and the task itself is organized in parallel with work being done at the contractor as well as the client as a corollary we also find that firms adopt trust based governance to a greater extent as these information processing abilities increase as well as with the colocation of the contractor and client suggestions for engineering trust based governance are offered

the duality of collaboration inducements and opportunities in the formation of interfirm linkages i argue that the linkage formation propensity of firms is explained by simultaneously examining both inducement and opportunity factors drawing upon resource based and social network theory literatures i identify three forms of accumulated capital technical commercial and social that can affect a firm s inducements and opportunities to form linkages firms possessing these capital stocks enjoy advantages in linkages formation however firms lacking these accumulated resources can still form linkages if they generate a radical technological breakthrough thus i identify paths to linkage formation for leading as well as peripheral firms i test these arguments with longitudinal data on technical collaborative linkages in the global chemicals industry copyright 2000 john wiley sons ltd

insurance as a giffen good abstract can insurance be a giffen good this can never happen if the coefficient of relative risk aversion is less than or equal to one if this coefficient is greater than one it is possible but not empirically plausible

the value of combining forecasts in inventory management a case study in banking managing inventories in the face of uncertain stochastic demand requires an investment in safety stocks these are related to the accuracy in forecasting future demands and the noise in the demand generation process reducing the demand forecasting error can free up capital and space and reduce the operating costs of managing the inventories a leading bank in hong kong consumes more than three hundred kinds of printed forms for its daily operations a major problem of its inventory control system for the forms management is to forecast the monthly demand of these forms in this study the idea of combining forecasts is introduced and its practical application is addressed the individual forecasts come from well established time series models and the weights for combination are estimated with quadratic programming the combined forecast is found to perform better than any of the individual forecasts

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

unstable weights in the combination of forecasts the weights used in the combination of forecasts are shown to be very unstable they are generally so unstable that the combined forecasts often do not perform better than some of the individual forecasts or a simple average of the forecasts in practice the instability is found from a series of monte carlo experiments as well as from the nominal gnp forecasts from four well known macro forecasters the monte carlo experiments also show that when the underlying models are known a composite forecast from a composite model is generally more accurate than the combination of the individual forecasts a simple average is shown to be the best technique to use in practice because the weights in the combination are so unstable

the structure of expectations of the weekly money supply announcement abstract this paper examines the structure of expectations of the weekly money supply announcement in the late 1970s the data used are from a weekly telephone survey of money market participants the rationality and structure of expectations are explored with the data organized in three ways the mean response to each weekly survey the pooled sample of individual responses and time series of responses by each individual in the survey the effect of data aggregation on rationality tests is investigated the structure of the expectations data are also examined and it is found that both strong regressive influences and adaptive learning characterize the data

the accuracy of combining judgemental and statistical forecasts judgement based forecasts are widely used in practice either alone or in conjunction with computer prepared forecasts this study empirically examines the improvement in accuracy which can be gained from combining judgemental forecasts either with other judgemental or with quantitatively derived forecasts two judgemental forecasting approaches are used by each of two different groups in a laboratory setting to give four sets of judgemental forecasts for the 68 monthly time series of the m competition these are combined either with each other or with forecasts from deseasonalised single exponential smoothing combined forecasts are found to be more accurate than single forecasts with the greatest benefit realised at short forecast horizons and for easier as opposed to harder forecast series averaging was observed to be a far better way of combining judgemental forecasts than a judgemental nonsystematic combination

the information content of weekly money supply announcements this paper analyzes the information content of weekly money supply announcements and the use of this information in the market determination of interest rates a short term rational expectations model of the financial market is constructed which incorporates the reaction of the federal reserve to deviations from target money supply and provides a context for analyzing the impact of announcements in the model the federal reserve attempts to maintain target growth rates in the money supply by compensating for past deviations from target announcements which contain an unanticipated movement in the money supply lead the public to expect that the federal reserve will change the rate of growth in the short run to compensate the revision of expectations about future short term money supply leads the public to revise their expectations about short term interest rates the implications of the model are empirically tested using data from a survey of expected changes in the money supply and u s treasury bill data the results support the implications of the model that is weekly money supply announcements do contain new information for the market determination of interest rates and it is only the unanticipated component of the announcement which is important

forecasting aggregate retail sales the case of south africa abstract forecasting aggregate retail sales may improve portfolio investors ability to predict movements in the stock prices of retail chains this paper uses 26 23 single and 3 combination forecasting models to forecast south africa s aggregate seasonal retail sales we use data from 1970 01 2012 05 with 1987 01 2012 05 as the out of sample period unlike the previous literature on retail sales forecasting we not only look at a wide array of linear and nonlinear models but also generate multi step ahead forecasts using a real time recursive estimation scheme over the out of sample period to better mimic the practical scenario faced by economic agents making retailing decisions in addition we deviate from the uniform symmetric quadratic loss function typically used in forecast evaluation exercises by considering loss functions that overweight the forecast error in booms and recessions focusing on the results of single models alone shows that their performances differ greatly across forecast horizons and for different weighting schemes with no unique model performing the best across various scenarios however combination forecast models especially the discounted mean square forecast error method which weighs current information more than past not only produced better forecasts but were also largely unaffected by business cycles and time horizons this result along with individual nonlinear models performing better than linear models led us to conclude that theoretical research on retail sales should look at developing dynamic stochastic general equilibrium models that not only incorporate learning behavior but also allow the behavioral parameters of the model to be state dependent to account for regime switching behavior across alternative states of the economy

inverse demand and anti giffen goods consider the standard model of household theory and assume two goods one of them a giffen good it is well known that the uncompensated direct demand for the giffen good has a positive slope however contrary to common intuition this note shows that the uncompensated inverse demand for the giffen good has a negative slope and it is the uncompensated inverse demand for the other good which is upward sloping positively sloped inverse demand curves tend to arise for vastly superior goods which can therefore be called anti giffen goods

the paradox of openness appropriability external search and collaboration a b s t r a c t to innovate firms often need to draw from and collaborate with a large number of actors from outside their organization at the same time firms need also to be focused on capturing the returns from their innovative ideas this gives rise to a paradox of openness the creation of innovations often requires openness but the commercialization of innovations requires protection based on econometric analysis of data from a uk innovation survey we find a concave relationship between firms breadth of external search and formal collaboration for innovation and the strength of the firms appropriability strategies we show that this concave relationship is stronger for breadth of formal collaboration than for external search there is also partial evidence suggesting that the relationship is less pronounced for both external search and formal collaboration if firms do not draw ideas from or collaborate with competitors we explore the implications of these findings for the literature on open innovation and innovation strategy 2013 the authors published by elsevier b v all rights reserved