do macroforecasters herd we show that typical tests of whether forecasters herd will falsely indicate herding behaviour for a variety of types of behaviour and forecasting environments that give rise to disagreement amongst forecasters we establish that forecasters will appear to herd if di erences between them reject noise as opposed to private information or if they arise from informational rigidities noise can have a behavioural interpretation and if so will depend on the behavioural model under consideration an application of the herding tests to us quarterly survey forecasts of inflation and output growth data 1981 2013 does not support herding behaviour

an evaluation of the forecasts of the federal reserve a pooled approach the federal reserve greenbook forecasts of real gdp inflation and unemployment are analysed for the period 1974 to 1997 we consider whether these forecasts exhibit systematic bias and whether efficient use is made of information that is whether revisions to these forecasts over time are predictable rather than analyse the forecasts separately for each horizon of interest we discuss and implement methods that pool information over horizons we conclude that there is evidence of systematic bias and of forecast smoothing of the inflation forecasts

daily house price indexes construction modeling and longer run predictions we construct daily house price indexes for ten major u s metropolitan areas our calculations are based on a comprehensive database of several million residential property transactions and a standard repeat sales method that closely mimics the procedure used in the construction of the popular monthly case shiller house price indexes our new daily house price indexes exhibit similar characteristics to other daily asset prices with mild autocorrelation and strong conditional heteroskedasticity which are well described by a relatively simple multivariate garch type model the sample and model implied correlations across house price index returns are low at the daily frequency but rise monotonically with the return horizon and are all commensurate with existing empirical evidence for the existing monthly and quarterly house price series a simple model of daily house price index returns produces forecasts of monthly house price changes that are superior to various alternative forecast procedures based on lower frequency data underscoring the informational advantages of our new more finely sampled daily price series

strategic behavior of federal open market committee board members evidence from members forecasts abstract in this paper we use panel data to test whether federal open market committee fomc board members forecasts are rational rationality is rejected in the sense that forecasts by members are heavily dependent on previous own forecasts and last consensus made in fomc furthermore we reveal the strategic behavior of fomc board members forecasts by governors who always have voting rights agree much with the previous consensus of fomc members forecasts in contrast non governors who rotate voting rights exaggerate their forecasts they aggressively deviate their forecasts from previous consensus the former is herding behavior and the latter is anti herding behavior our results imply that individual members behave strategically governors want to present policy consistent forecasts to the congress and non governors utilize their forecasts to influence decision making in fomc

dynamic factor models with macro frailty and industry effects for u s default counts the credit crisis of 2008 we develop a high dimensional nonlinear and non gaussian dynamic factor model for the decomposition of systematic default risk conditions into latent components for 1 macroeconomic financial risk 2 autonomous default dynamics frailty and 3 industry specific effects we analyze discrete u s corporate default counts together with macroeconomic and financial variables in one unifying framework we find that approximately 35 of default rate variation is due to systematic and industry factors approximately one third of this systematic variation is captured by the macroeconomic and financial factors the remainder is captured by frailty 40 and industry 25 effects the default specific effects are particularly relevant before and during times of financial turbulence we detect a build up of systematic risk over the period preceding the 2008 credit crisis this article has online supplementary material

differential interpretation in the survey of professional forecasters in this paper i estimate a simple bayesian learning model to expectations data from the survey of professional forecasters i reformulate the model in terms of forecast revisions which allows one to abstract from differences in priors and to focus the analysis on the relationship between news and revisions the empirical analysis shows that there is significant heterogeneity in the interpretation of news among forecasters in particular at longer horizons while it decreases closer to the forecast target date the results also indicate a positive relationship between prior sentiment and interpretation of the signal in the sense that relatively optimistic pessimistic forecasters are likely to believe that the signal under over estimates the future realization and assign it a low high weight in the forecast revision

accuracy and efficiency in the u s department of energy s short term supply forecasts one step ahead forecasts of quarterly crude oil natural gas electricity and coal supplies are evaluated under two general approaches accuracy based measures and classification or directional based measures results suggest the u s department of energy doe supply forecasts for u s domestic energy products are generally more accurate than a naive alternative there is only limited evidence of bias and inefficiency in the forecasts although there is some evidence of error repetition directional forecasts for supply changes are statistically better than random but they generally do not outperform a naive forecast

strategy switching in the japanese stock market abstract this paper investigates the expectation formation process of japanese stock market professionals by utilizing a monthly forecast survey dataset on the topix distributed by quick corporation we sort forecasters into buy side and sell side professionals we empirically demonstrate that the buy side and sell side professionals use either fundamental or trend following strategies throughout their expectation formation processes and that they switch between fundamental and trend following strategies over time we also discuss that strategy switching can be key in understanding the persistent deviation of the topix from the fundamentals

are professional macroeconomic forecasters able to do better than forecasting trends this paper investigates whether survey forecasters are able to make more accurate forecasts than simply supposing that the future values of the variable will move monotonically to the long run expectation we consider the forecasts individually and the consensus forecasts consensus survey forecasts are able to do so to varying degrees depending on the variable but this ability is largely limited to forecasts of the current quarter

forecasting efficiency concepts and applications this article introduces the concept of forecast efficiency in which the forecast contains all information available at the time of the forecast empirical tests investigate weak efficiency where the information set is all past forecasts and where all forecast revisions and errors should be uncorrelated with past forecast revisions tests of macroeconomic energy consumption and oil price forecasts find a significant autocorrelation of forecast revisions with fifty of fifty one tests showing positive correlation of forecast revisions as opposed to zero correlation consistent with forecast efficiency copyright 1987 by mit press

risk perception in psychology and economics abstract the concept of rationality has been basic to most economic analysis its content has been successively refined over the generations as applied to the static world of certainty it has turned out to be a weak hypothesis not easily refuted and therefore not very useful as an explanation though not literally a tautology but recent decades have seen the development of stronger versions applied to a world in which time and uncertainty are real among its most important manifestations have been criteria for consistency in allocation over time the expected utility hypothesis of behavior under uncertainty and what may be termed the bayesian hypothesis for learning that is the consistent use of conditional probabilities for changing beliefs on the basis of new information these hypotheses have been used widely in offering explanations of empirically observed behavior though as not infrequently in economics the theoretical development has gone much further than the empirical implementation these hypotheses have also been used increasingly in normative analysis as a component of benefit cost studies therefore frequently referred to as benefit risk studies the value of reducing mortality rates from diseases for example has been studied by assuming that choice of occupations is made inter alia by comparing wage differences with mortality differences

predictability of output growth and inflation a multi horizon survey approach we develop an unobserved components approach to study surveys of forecasts containing multiple forecast horizons under the assumption that forecasters optimally update their beliefs about past current and future state variables as new information arrives we use our model to extract information on the degree of predictability of the state variable and the importance of measurement errors in the observables empirical estimates of the model are obtained using survey forecasts of annual gdp growth and inflation in the united states with forecast horizons ranging from 1 to 24 months and the model is found to closely match the joint realization of forecast errors at different horizons our empirical results suggest that professional forecasters face severe measurement error problems for gdp growth in real time while this is much less of a problem for inflation moreover inflation exhibits greater persistence and thus is predictable at longer horizons than gdp growth and the persistent component of bot

financial markets forecasts revisited are they rational stubborn or jumpy this paper evaluates professional forecasters behavior using a panel data of individual forecasts we find that i professional forecasts are behavioral and ii there exists a stock bond dissonance the forecasting behavior seems to be stubborn in the stock market but jumpy in the bond market even in the same country forecasting behavior is quite different by market

time variation in the dynamics of worker flows evidence from north america and europe vector autoregressive methods have been used to model the interrelationships between job vacancy rates job separation rates and job finding rates using tools such as impulse response analysis we investigate whether such impulse responses change across the business cycle or over time by estimating time varying parameter vector autoregressions for data from north america the usa and canada and europe france spain and the uk while the adjustment process of the labour market to shocks in canada and the usa is similar we find the adjustment process differs much more across the european countries with greater persistence in shocks relative to the usa and canada

dynamics of worker flows and vacancies evidence from the sign restriction approach this paper establishes robust dynamic features of the worker reallocation process in the us labor market i use structural vars with sign restrictions which take the form of restricting the short run negative relationship between vacancies and unemployment i e beveridge curve despite the weakness of these restrictions they reveal a clear unambiguous pattern that when unemployment increases and vacancies drop i both the separation rate and gross separations rise quickly and remain persistently high ii the job finding rate and vacancies drop in a hump shaped manner and iii gross hires respond little initially but eventually rise these results point to the importance of job loss in understanding us labor market dynamics this pattern also holds with respect to different kinds of shocks that induce the same beveridge curve relationship this paper also considers the disaggregate model which uses data disaggregated into six demographic groups and incorporates transitions into and out of the labor force i show that the separation rate continues to play a dominant role among prime age male workers while for other groups changes in the job finding rate are more important copyright 2009 john wiley sons ltd

bayesian dynamic factor models and portfolio allocation we discuss the development of dynamic factor models for multivariate financial time series and the incorporation of stochastic volatility components for latent factor processes bayesian inference and computation is developed and explored in a study of the dynamic factor structure of daily spot exchange rates for a selection of international currencies the models are direct generalizations of univariate stochastic volatility models and represent specific varieties of models recently discussed in the growing multivariate stochastic volatility literature we discuss model fitting based on retrospective data and sequential analysis for forward filtering and short term forecasting analyses are compared with results from the much simpler method of dynamic variance matrix discounting that for over a decade has been a standard approach in applied financial econometrics we study these models in analysis forecasting and sequential portfolio allocation for a selected set of international exchange rate retur

employment fluctuations in u s regions and industries the roles of national region specific and industry specific shocks this study quantifies the roles of national region specific and industry specific shocks in aggregate employment fluctuations in u s regions and industries variation among the growth rates of major regions and industries is decomposed into unobserved national region and industry specific components the results reject the view that any heterogeneity in regional fluctuations is attributable to differences in industry composition after controlling for industry mix effects roughly 40 of the variance of the cyclical innovation in any region s growth rate is particular to that region in addition region specific shocks appear to propagate across regions over time

directional accuracy forecasting error and the profitability of currency trading model based evidence three models the flexible price monetary model ppp and a univariate arima model are estimated for 45 currency pairs to find out if the profitability of forecasting based currency trading is more related to the ability of the underlying model to predict the direction of change than the magnitude of the forecasting error theoretical considerations show that a correct prediction of the direction of change is neither a necessary nor a sufficient condition for a profitable trade the results of the exercise indicate that profitability is more strongly correlated with directional accuracy than with the magnitude of the error

global business cycles convergence or decoupling we analyze the evolution of the degree of global cyclical interdependence over the period 1960 2008 using a dynamic factor model we decompose macroeconomic fluctuations in output consumption and investment into a global factor factors specific to country groups and country specific factors we find that during 1985 2008 there is some convergence of business cycle fluctuations among industrial economies and among emerging market economies surprisingly there is a concomitant decline in the relative importance of the global factor we conclude that there is evidence of business cycle convergence within each of these two groups of countries but divergence or decoupling between them

why do forecasters disagree lessons from the term structure of cross sectional dispersion abstract key sources of disagreement among economic forecasters are identified by using data on cross sectional dispersion in forecasters long and short run predictions of macroeconomic variables dispersion among forecasters is highest at long horizons where private information is of limited value and lower at short forecast horizons moreover differences in views persist through time such differences in opinion cannot be explained by differences in information sets our results indicate they stem from heterogeneity in priors or models differences in opinion move countercyclically with heterogeneity being strongest during recessions where forecasters appear to place greater weight on their prior beliefs

asymmetric volatility spillovers between uk regional worker flows and vacancies this paper investigates volatility spillovers between uk regional job finding job separation and vacancy rates employing a large bayesian logistic smooth transition vector autoregression var model we find high volatility spillovers between uk regional labour markets analyses of net spillovers show that in general shocks to job separation rates tend to spread into job finding and vacancy rates while vacancy rates are usually at the receiving end of shocks transmitted from the job separations and job findings to shed further light on the shock propagation mechanism we also look into more detailed matters such as the differences in spillovers between regions within the same regime and that of the same region but in different regimes

forecasting urea prices abstractmanaging urea price risk is a concern of firms in the urea supply chain due to high price volatility and relatively slow transportation this study develops urea price forecasting models as a way to reduce price risk the forecasting models are evaluated based on multiple accuracy measures and compared to fertilizer week a commercial forecast an autoregressive model with exogenous variables arx using a window size of 48 months outperforms the other models no statistical difference exists between our best model and fertilizer week encompassing tests show that a combination model using the two models outperforms using fertilizer week forecasts alone a combined model using 66 8 of fertilzerweekand 33 2 of the arx brings about the minimum forecast error

international business cycles world region and country specific factors the paper investigates the common dynamic properties of business cycle fluctuations across countries regions and the world we employ a bayesian dynamic latent factor model to estimate common components in macroeconomic aggregates output consumption and investment in a 60 country sample covering seven regions of the world the results indicate that a common world factor is an important source of volatility for aggregates in most countries providing evidence for a world business cycle we find that region specific factors play only a minor role in explaining fluctuations in economic activity we also document similarities and differences across regions countries and aggregates jel f41 e32 c11 c32

macro economic forecasting and modelling confidence in macro economic forecasting has periodically been punctured by episodes of economic turbulence and concomitant predictive failure the poor performance in predicting the consumer boom in the late i98os and the depth and duration of the recession in the i99os can be viewed as merely the latest examples in a catalogue of failures with noteworthy antecedents including the under prediction of post war consumption and the i974 5 and i979 81 recessions periods of economic turbulence may be informative in highlighting model inadequacy but they also being into question the usefulness of economic forecasting 2 should we be surprised that such failures have occurred econometric theory comprises a body of tools and techniques for analysing the properties of prospective methods under hypothetical states of nature in the forecasting context the methods are forecasting models and procedures and the states of nature relate to the properties of the variables to be forecast for an econometric theory of forecasting to be useful in terms of delivering relevant conclusions about empirical forecasting those states must adequately capture thfie appropriate aspects of the real world to be forecast however the traditional text book theory of economic forecasting fails to allow for a number of vital features of the economy in particular analyses of forecasting have usually been based on assumptions that implicitly rule out structural change or regime shifts in the economy namely i a constant time invariant data generating process dgp 2 a stationary non integrated dgp 3 a unique model of the economy which coincides with the dgp under these assumptions particularly i and 3 forecasts calculated as the conditional expectation given the model are optimal in the sense that they are unbiased and efficient any other forecast will have a larger forecast error variance by definition if the model is the dgp then the expected future value of the variable given all information available at the present time is the conditional expectation with respect to the model in general forecasts are not financial support from the uk economic and social research council under grant rooo233447 is gratefully acknowledged by both authors neil ericsson provided many helpful comments on an earlier draft 1 spanos i989 considers the contemporary predictive failure of aggregate consumption functions over 1945 51 arguing that model mis specification played a role wallis i989 discusses the forecasting record of the major uk model based forecasting teams for the i974 5 and i979 8i recessions

rationality and seasonality evidence from inflation forecasts abstract we examine the seasonal pattern in expectations using a unique israeli survey of quarterly inflation forecasts rationality is rejected with respect to trivial information about calendar quarter seasonal bias is strongest at shorter horizons and in a low inflation environment

when are gdp forecasts updated evidence from a large international panel based on a large international panel of surveyed gdp forecasts i analyze the frequency of forecast revisions and the factors that influence the likelihood of forecast revisions i find that each month on average 40 50 of forecasters revise their forecasts in addition i find that the likelihood of forecast revisions significantly depends on a number of factors such as the forecast horizon the business cycle or strategic interactions between forecasters my results suggest that a realistic modeling of expectations forecasts of agents has to take into account cross sectional heterogeneity strategic interaction between agents and effects of the economic environment features that existing models such as the sticky information framework are missing

when do the usda forecasters make mistakes this study analysed forecasts for all us corn soya bean and wheat categories published within the world agricultural supply and demand estimates wasde reports over the 1987 88 through 2009 10 marketing years in an attempt to identify patterns and better understand when the usda forecasters make mistakes two general sources of errors were investigated behavioural and macroeconomic factors the first objective was to examine how these factors affect the size of the forecast error and the second concentrated on the direction of the error due to these effects our findings suggest that the largest increase in the size of usda forecast errors was associated with structural changes in commodity markets that took place in the mid 2000s corn soya bean and wheat forecast errors also grew during the periods of economic growth and with changes in exchange rates while inflation and changes in oil price had a much smaller impact with respect to behavioural sources we identified patterns consistent with leni

an inquiry into the sources of macroeconomic fluctuations abstract this paper attempts to decompose the sources of fluctuations in quarterly employment by industry and region into 1 an aggregate national shock 2 region specific shocks 3 industry specific shocks and 4 idiosyncratic factors the empirical analysis is motivated by a dynamic theory of the business cycle the empirical methodology is the engle watson dynamic mimic model implemented via the em algorithm the work is motivated as an attempt to compare empirically aggregate single factor theories of the cycle with real business cycle theories emphasizing industrial or regional shocks

multivariate forecasting of a commodity portfolio application to cattle feeding margins and risk traditionally economists have utilized univariate approaches to forecast prices even for firms operating in multicommodity environments this research improves the way in which managerial decision making is analysed by developing a model better representing the price risks and opportunities faced by firms that produce using a portfolio of commodities using the situation of cattle feedlot investors and managers as an example this is accomplished by recognizing the multivariate live cattle feeder cattle and corn prices situation that feedlots operate in and employing corresponding multivariate simulation techniques evaluation suggests that properly modelling the cattle feeding margin as a multivariate set of prices significantly improves the accuracy of forecasting future feeding margin values realized in the cash market the model also suggests incorporating both implied and historical time varying volatility information when forecasting margin variability implications for other multicommodity sit

forecasting the ecb s main refinancing rate a field experiment abstract when no appropriate markets to derive expectations on economic variables are available surveying methods are often employed however surveys suffer from the problem of how to aggregate individual expectations in a reasonable manner we show at the example of a market on the ecb s main refinancing rate that experimental markets aggregate information quite efficiently and thus are a useful tool in this respect

how quickly do forecasters incorporate news evidence from cross country surveys using forecasts from consensus economics inc we provide evidence on the efficiency of real gdp growth forecasts by testing whether forecast revisions are uncorrelated as the forecast data used are multi dimensional 18 countries 24 monthly forecasts for the current and the following year and 16 target years the panel estimation takes into account the complex structure of the variance covariance matrix due to propagation of shocks across countries and economic linkages among them efficiency is rejected for all 18 countries forecast revisions show a high degree of serial correlation we then develop a framework for characterizing the nature of the inefficiency in forecasts for a smaller set of countries the g 7 we estimate a var model on forecast revisions the degree of inefficiency as mananifested in the serial correlation of forecast revisions tends to be smaller in forecasts of the usa than in forecasts for european countries our framework also shows that one of the sources of the inefficiency in a country s forecasts is resistance to utilizing foreign news thus the quality of forecasts for many of these countries can be significantly improved if forecasters pay more attention to news originating from outside their respective countries this is particularly the case for canadian and french forecasts which would gain by paying greater attention than they do to news from the usa and germany respectively

canadian labour market performance in international perspective my objective is to assess canadian labour market outcomes in recent decades and to compare canada s performance with that experienced in other industrialized countries the focus is on three key dimensions employment unemployment and the structure of earnings although my main purpose in the paper is to examine the canadian record i also ask what we can learn from canada s experience about the causes of some of the salient economic developments in oecd countries the rise and persistence of unemployment in europe and the growth of income inequality in countries such as the united states the united kingdom canada and australia let s begin with the question how well has the canadian economy performed during the past three decades if our reference point is the 1950s and 1960s the answer is likely to be poorly indeed the first twenty five years following the second world war now appear as a golden era since that period real income growth has been slow earnings have become more unequally distributed and unemployment has trended upward reaching levels that would have been considered outside the range of plausibility in the 1960s however most of the advanced countries have experienced a sharp deterioration in their economic performance since the early 1970s the turbulent world economic environment has made it difficult to sustain the kind of outcomes ob

sectoral shocks and metropolitan employment growth abstract in this paper we study the sources of industry employment growth in each of five metropolitan statistical areas msas the objective is to understand the relative importance of aggregate disturbances versus local sectoral shocks in generating observed employment fluctuations at the msa level the empirical evidence presented in this paper derives from structural vector autoregressions svars estimated for each of the five msas estimations use monthly employment data covering nine one digit industrial categories for the period 1951 1 1999 8 as well as two variables that capture the influences of aggregate i e national shocks on msas we find that within msa industry shocks explain considerably more of the forecast error variance in industry employment growth than do aggregate shocks sectoral shocks account for between 87 and 94 of the 36 month ahead forecast error variance among individual local sectors shocks to msa specific government manufacturing and service sector employment growth are the predominate sources of variability

can rational stubbornness explain forecast biases this paper examines whether the rational jumpiness stubbornness hypothesis can explain forecast biases using a dataset of professional gdp forecasts for the g7 countries over the period 1989 2010 we find evidence supporting the rational stubbornness hypothesis specifically forecasters underreact more when large forecast revisions are highly indicative of low forecast ability underreaction is less likely when the size of forecast revisions is unrelated to ability these findings are consistent with the hypothesis that forecasters choose to smooth gdp forecasts to maximize their perceived ability

evaluating the efficiency of the fomc s new economic projections since 2007 fomc policymakers have been publishing detailed numerical projections of macroeconomic series over the next three years by testing whether the revisions to these projections are unpredictable i find that fomc s efficiency is generally accepted for inflation but often rejected for real economic variables notably for the unemployment rate the rejection is due to the strong autocorrelation of revisions which may reflect information rigidity of fomc s unemployment projections the joint efficiency of the entire projection is accepted in most cases

a new look at variation in employment growth in canada the role of industry provincial national and external factors we examine fluctuations in employment growth using canadian data from 1976 to 2010 we consider a wide range of models and examine the sensitivity of our findings to modelling assumptions the results from our most preferred model which we selected using the bayesian information criteria indicate that most of the variance in employment growth that is not due to the idiosyncratic error comes from domestic sources with most of this coming from industry and provincial factors overall we find that external and national factors play a much smaller role in employment fluctuations than in earlier research we provide some possible explanations for these differences and discuss the implications of our findings for public policy and theory

are revisions to usda crop production forecasts smoothed this article uses nordhaus framework to determine the efficiency of the revision process for usda corn and soybean production forecasts over the 1970 1971 through 2004 2005 marketing years positive autocorrelation and consistency of directional changes in forecast revisions suggest these forecasts are smoothed evidence is provided that the loss in forecast accuracy due to smoothing is statistically and economically significant in several cases a conservative bias in farm operators assessments of yield potential and in the procedure for translating enumerator s information about plant fruit counts into objective yield estimates are identified as plausible sources of smoothing

political biases despite external expert participation an empirical analysis of tax revenue forecasts in germany this paper explores whether and how political biases arise in an institutional setting where revenue forecasting is delegated to a body that includes experts from institutions neither part of nor controlled by the government the empirical analysis focuses on the performance of german federal tax revenue forecasts in the preparation of which the advice of external experts has a long tradition as an institutional safeguard while on average revenue forecasts turn out to be unbiased the results show that the government exerts an influence in particular optimism pessimism in the government s gdp forecast helps to explain why the revenue forecast turns out too optimistic pessimistic in addition governmental estimates of the revenue effects of tax law changes are found to contribute to forecast errors

perceived inflation persistence this article constructs and estimates a measure called perceived inflation persistence that can be used to determine if professional forecasters inflation forecasts indicate there has been a change in inflation persistence this measure is built via the implied autocorrelation function that follows from the estimates obtained using a forecaster specific state space model findings indicate that u s perceived inflation persistence has changed since the mid 1990s with more consensus among forecasters at lower levels of persistence when compared to the autocorrelation function for actual inflation forecasters typically react less to shocks to inflation than the actual inflation data would suggest

sectoral versus aggregate shocks a structural factor analysis of industrial production using factor methods we decompose industrial production ip into components arising from aggregate and sector specific shocks an approximate factor model finds that nearly all of ip variability is associated with common factors we then use a multisector growth model to adjust for the effects of input output linkages in the factor analysis thus a structural factor analysis indicates that the great moderation was characterized by a fall in the importance of aggregate shocks while the volatility of sectoral shocks was essentially unchanged consequently the role of idiosyncratic shocks increased considerably after the mid 1980s explaining half of the quarterly variation in ip

updates to household inflation expectations signal or noise abstract using data from the new york fed s survey of consumer expectations we examine the information content of the updates to household inflation expectations we find that although consumers frequently revise their expectations the adjustments are largely uninformative

variation in employment growth in canada the role of external national regional and industrial factors this article investigates the effect of external national and sectoral shocks on canadian employment fluctuations at the national industrial and provincial levels we assume that employment growth in each industry province pair depends on u s growth lagged canadian growth at the national industrial and provincial levels an aggregate shock and shocks specific to each industry province and industry province pair we estimate that the u s and canadian shocks account for two thirds and a quarter respectively of aggregate variation sectoral shocks account for only one tenth of aggregate variation but represent 30 of the variation from canadian sources

facts devices allocation with control coordination considering congestion relief and voltage stability this paper presents an optimal allocation method for flexible ac transmission system facts devices for market based power systems considering congestion relief and voltage stability the purpose of the facts devices installation is to provide benefit for all entities accomplished by both minimizing annual device investment cost and maximizing annual benefit defined as difference between expected security cost esc with and without facts devices installation different from previous approaches the proposed method accurately evaluates the annual cost and benefits obtainable by facts devices installation by formulating a large scale optimization problem that contains power flow analyses for a large number of system states representing annual power system operations in addition dynamic state transitions caused by specified contingencies are also simulated in the optimization problem to evaluate the effect of facts control actions as well as the other coordinated controls the expected cost consists of operating cost under normal and contingency states along with their related probabilities to occur maximizing social welfare is the objective for normal state while minimizing compensations for generations re scheduling and load shedding as well as maximizing social welfare are the objectives in case of contingency although installation cost of facts devices is required they are useful as cost free means which can reduce effectively the annual costs for generations re scheduling and load shedding