granger causality and policy effectiveness it is generally recognized that if a set of monetary and fiscal policy variables granger cause1 real economic variables this does not imply that alternative deterministic rules for determining the values of these policy instruments will alter the joint density function of the real variables 2 it has however also been asserted that letting x denote a suitably restricted vector of real economic aggregates g a list of monetary and fiscal policy variables and e the mathematical expectation operator

optimal bidding scheduling and deployment of battery systems in california day ahead energy market an optimal supply and demand bidding scheduling and deployment design framework is proposed for battery systems it takes into account various design factors such as the day ahead and real time market prices and their statistical dependency as well as the location size efficiency lifetime and charge and discharge rates of the batteries utilizing second life used batteries is also considered without loss of generality our focus is on the california independent system operator iso energy market and its two available bidding options namely self schedule bidding and economic bidding while the formulated stochastic optimization problems are originally nonlinear and difficult to solve we propose a methodology to decompose them into inner and outer subproblems accordingly we find the global optimal solutions within a short amount of computational time all case studies in this paper are based on real market data

optimal bidding strategies and modeling of imperfect information among competitive generators the emerging electricity market behaves more like an oligopoly than a perfectly competitive market due to special features such as a limited number of producers large investment size barrier to entry transmission constraints and transmission losses which discourage purchase from distant suppliers this makes it practicable for only a few independent power suppliers to service a given geographic region and in this imperfect market each power supplier can increase its own profit through strategic bidding the profit of each supplier is influenced to varying extents by differences in the degree of imperfection of knowledge of rival suppliers a new framework to build bidding strategies for power suppliers in an electricity market is presented in this paper it is assumed that each supplier bids a linear supply function and that the system is dispatched to minimize customer payments each supplier chooses the coefficients in the linear supply function to maximize benefits subject to expectations about how rival suppliers will bid a stochastic optimization formulation is developed and two methods proposed for describing and solving this problem a numerical example serves to illustrate the essential features of the approach and the results are used to investigate the potential market power

futures markets and monetary policy abstract it has recently been argued that when differentially informed agents trade with one another monetary policy can influence the distribution of output by altering the information content of prices this paper introduces a futures market into the barro 1980 model and shows that under certain conditions prices may aggregate information in a manner such that differentially informed agents hold identical beliefs concerning aggregate market conditions in such cases monetary policy will be unable to influence the distribution of output these results then serve as a backdrop for a more general discussion of the relationship between asset prices and the role of monetary policy

wage stickiness and the non neutrality of money a cross industry analysis abstract the paper provides an empirical test of sticky wage models of business fluctuations by focusing on industry level cross sectional implications that emerge this breaks the observational equivalence existing at the aggregate level between rational expectations long term contracting and imperfect information models the specific implication tested is whether output responses to nominal disturbances industry phillips curve slopes are inversely related to wage indexation elasticities the phillips curve slopes are found to vary across industries for the canadian economy but bear no relationship to indexation elasticities casting doubt on the role of nominal wage rigidity in generating the observed non neutrality of money

bidding strategies for electricity producers in a competitive electricity marketplace this paper presents a methodology for the development of bidding strategies for electricity producers in a competitive electricity marketplace initially the problem is modeled as a two level optimization problem where at the first level a market participant tries to maximize his expected profit under the constraint that at the second level an independent system operator dispatches power solving an optimal power flow problem that minimizes total system cost it is assumed that each supplier bids a linear supply function and chooses his bidding strategy based on probabilistic estimates of demand and rival behavior monte carlo simulation is used to calculate the expected profit and genetic algorithms are employed to find the optimal strategy subsequently the formulation is expanded to account for different market participants risk profiles it is shown that risk aversion may influence the optimal bidding strategy of an individual

optimal response of a power generator to energy agc and reserve pool based markets the electric power industry all over the world is undertaking major regulatory and operational changes the understanding of power supply as a public service is being replaced by the notion that competitive markets constitute a more appropriate framework to supply reliable and cheap electric energy to consumers as mandated by ferc orders 888 and 889 this paper considers simultaneously energy agc and reserve markets in a pool framework it provides a tool to enable a power generator to determine optimally its degree of involvement in each one of these markets a real world case study is analyzed and results are presented

money and the dispersion of relative prices a price dispersion equation is tested with data from the german hyperinflation the equation is derived from a version of lucas s and barro s partial information localized market models in this extension different excess demand elasticities across commodities imply a testable dispersion equation in which the explanatory variable is the magnitude of the unperceived money growth in order to test this hypothesis a price dispersion series is constructed and a measure of the unperceived part of money growth is estimated the model receives support from the empirical analysis although it is evident that unincluded variables have important effects on price dispersion

application of games with incomplete information for pricing electricity in deregulated power pools the authors present a game theory approach to the problem of pricing electricity in deregulated marketplaces they assume that an independent operator receives bids by pool participants and defines transactions among participants by looking for the minimum price that satisfies the demand in the pool the competition among pool participants is modeled as a noncooperative game with incomplete information they assume that each pool participant knows its own operation costs but does not know his opponents operation costs the game with incomplete information is transformed into a game with complete but imperfect information and solved using the nash equilibrium idea the approach presented in this paper is geared towards providing support for pricing electricity in deregulated pools

on the optimality of activist policies with a less informed government abstract i investigate whether a government should lead an activist policy in a rigorous utility maximizing framework under rational expectations the economy is one with preset wages and is subject to both demand and supply shocks it is assumed that the government can never act on the basis of information superior to that of the private sector moreover wages are set after government policy has been carried out we find that the optimal policy is nevertheless an activist countercyclical one it has the remarkable property that although the economy is hit each period by stochastic shocks after wages have been preset this optimal policy will nevertheless succeed in keeping the economy on a full employment track

nash equilibrium bidding strategies in a bilateral electricity market this paper examines bidding strategies in a bilateral market in which generating companies submit bids to loads a load accepts electricity delivery from the generator with the lowest bid at its bid price as long as this price is not higher than the load s willingness to pay necessary and sufficient conditions of nash equilibrium ne bidding strategy are derived based on a generic generating cost matrix and the loads willingness to pay vector the study shows that in any ne efficient allocation is achieved furthermore all nash equilibria are revenue equivalent for the generators based on the necessary and sufficient conditions this problem is formulated as an optimal assignment problem network optimization techniques are applied to calculate ne bid prices for the generators

aggregate fluctuations as an information transmission mechanism a model is presented in which individuals attempt to track shocks with a capital like quantity that is costly to produce and to adjust the shocks have separate individual specific and economy wide components individuals do not have direct access to desired information about economy wide shocks the information is potentially available from the observation of endogenous aggregates but because the aggregates are endogenous there is an informational externality associated with them two polar cases are considered when the desired information is about economy wide real shocks as in townsend 1983 the externality is potentially completely internalized when the desired information is about purely nominal aggregates as in lucas 1973 1975 aggregate fluctuations are a necessary condition of equilibrium

revenue adequate bidding strategies in competitive electricity markets energy trading in a competitive electricity market can be modeled as a two level optimization at the top level a centralized economic dispatch ced uses a priority list method to solve the fundamental problem of reliable market clearing with price discovery the lower level consists of a set of decentralized bidding db subproblems the db model uses a self unit scheduling simulator based on parametric dynamic programming to produce hourly bid curves for the central dispatch coordinator unit operating constraints and costs such as the unit minimum up and minimum down times ramp rates and the unit start up no load and sunk capital costs are internalized in the bid curves through the simulator a special algorithm is presented to solve the revenue adequacy problem for marginal units both ced and db models are based on the revenue maximization in contrast with the cost minimization criteria used in the conventional unit commitment uc the proposed method has been tested in a study case and some interesting results have been demonstrated

a strategic analysis of sinking fund bonds abstract unlike most securities the pricing of sinking fund bonds is influenced by the distribution of ownership which summarizes the extent to which the market is cornered the effect of the distribution of ownership on the pricing of sinking fund bonds is examined by an explicit game in which the price obtained for bonds sold can depend upon the size of the investor s position this framework is used to contrast the valuation of sinking fund bonds with the valuation of amortizing bonds and straight debt we show that it is generally incorrect to view sinking fund bonds as being equivalent to serial bonds

monetary and fiscal policies under two alternative types of rules abstract this paper considers the relative advantage of two types of monetary and fiscal feedback rules when the private agents have full current information the appropriate combination of monetary and fiscal feedback on past disturbances dominates the contemporaneous feedback in stabilizing the real output and the price level this dominancy however disappears when the exchange rate stability is included in the objective function or when the currently observable variables are limited in general there exist some tradeoffs among feedback parameters some of the policy coefficients can be set arbitrarily enabling the optimal policy rules to be specified in many equivalent ways

an ordinal optimization based bidding strategy for electric power suppliers in the daily energy market the deregulation and reconstruction of the electric power industry worldwide raises many challenging issues related to the economic and reliable operation of electric power systems traditional unit commitment or hydrothermal scheduling problems have been integrated with generation resource bidding but the development of optimization based bidding strategies is only at a very preliminary stage this paper presents a bidding strategy based on the theory of ordinal optimization that the ordinal comparisons of performance measures are robust with respect to noise and modeling error and the problems become much easier if the optimization goal is softened from asking for the best to good enough solution the basic idea is to use an approximate model that describes the influence of bidding strategies on the market clearing prices mcp a nominal bid curve is obtained by solving optimal power generation for a given set of mcps via lagrangian relaxation then n bids are generated by perturbing the nominal bid curve the ordinal optimization method is applied to isolate a good enough set s that contains some good bids with high probability by performing rough evaluation the best bid is then selected by solving full hydrothermal scheduling or unit commitment problems for each of the bids in s using ordinal optimization approach we are able to obtain a good enough bidding strategy with reasonable computational effort numerical results using historical mcps from the california market and a generation company with 10 units show that the ordinal optimization based method is efficient

comprehensive bidding strategies with genetic programming finite state automata this research is an extension of the authors previous work in double auctions aimed at developing bidding strategies for electric utilities which trade electricity competitively the improvements detailed in this paper come from using data structures which combine genetic programming and finite state automata termed gp automata the strategies developed by the method described here are adaptive reacting to inputs whereas the previously developed strategies were only suitable in the particular scenario for which they had been designed the strategies encoded in the gp automata are tested in an auction simulator the simulator pits them against other distribution companies distcos and generation companies gencos buying and selling power via double auctions implemented in regional commodity exchanges the gp automata are evolved with a genetic algorithm so that they possess certain characteristics in addition to designing successful bidding strategies whose usage would result in higher profits the resulting strategies can also be designed to imitate certain types of trading behaviors the resulting strategies can be implemented directly in online trading or can be used as realistic competitors in an off line trading simulator

price taker offering strategy in electricity pay as bid markets the recent increase in the deployment of renewable energy sources may affect the offering strategy of conventional producers mainly in the balancing market the topics of optimal offering strategy and self scheduling of thermal units have been extensively addressed in the literature the feasible operating region of such units can be modeled using a mixed integer linear programming approach and the trading problem as a linear programming problem however the existing models mostly assume a uniform pricing scheme in all market stages while several european balancing markets e g in germany and italy are settled under a pay as bid pricing scheme the existing tools for solving the trading problem in pay as bid electricity markets rely on nonlinear optimization models which combined with the unit commitment constraints result in a mixed integer nonlinear programming problem in contrast we provide a linear formulation for that trading problem then we extend the proposed approach by formulating a two stage stochastic problem for optimal offering in a two settlement electricity market with a pay as bid pricing scheme at the balancing stage the resulting model is mixed integer and linear the proposed model is tested on a realistic case study against a sequential offering approach showing the capability of increasing profits in expectation

genetic algorithm evolution of utility bidding strategies for the competitive marketplace this paper describes an environment in which distribution companies discos and generation companies gencos buy and sell power via double auctions implemented in a regional commodity exchange the electric utilities profits depend on the implementation of a successful bidding strategy in this research a genetic algorithm evolves bidding strategies as gencos and discos trade power a framework in which bidding strategies may be tested and modified is presented this simulated electric commodity exchange can be used offline to predict whether bid strategies will be profitable and successful it can also be used to experimentally verify how bidding behavior affects the competitive electric marketplace

optimal electricity supply bidding by markov decision process the bidding decision making problem is studied from a supplier s viewpoint in a spot market environment the decision making problem is formulated as a markov decision process a discrete stochastic optimization method all other suppliers are modeled by their bidding parameters with corresponding probabilities a systematic method is developed to calculate transition probabilities and rewards a simplified market clearing system is also included in the implementation a risk neutral decision maker is assumed the optimal strategy is calculated to maximize the expected reward over a planning horizon simulation cases are used to illustrate the proposed method

a continuous strategy game for power transactions analysis in competitive electricity markets this article presents a game theory application for analyzing power transactions in a deregulated energy marketplace such as poolco where participants especially generating entities maximize their net profits through optimal bidding strategies i e bidding prices and bidding generations in this article the electricity market for power transactions is modeled as a noncooperative game with complete information where the solution is determined in a continuous strategy domain having recourse to the nash equilibrium idea in order to provide more apprehensible analysis we suggest a new hybrid solution approach employing a two dimensional graphical approach as well as an analytical method finally the proposed approach is demonstrated on a sample power system

price and output responsiveness to nominal changes under differential information abstract the paper considers how changes in nominal income are transmitted into price and output changes within a setting where the traditional assumption of instantaneous market clearing costless coordination is given up in favour of a more realistic setting where price decisions are made by numerous agents firms acting independently on their private decentralized information the responsiveness of firm specific prices is considered and it is shown how absolute or nominal price rigidity can be explained building this into a theory of the general price level it is proved that heterogenously perceived nominal changes affect the price level less than proportionally moreover it is shown how a phillips curve relation between inflation and output can be rationalized within the model finally the issue of relative price variability is considered and related to misallocation of economic resources under differential information

an informational rationale for action over disclosure abstract the past two decades have seen a considerable increase in the amount of public information provided by policymakers are such disclosures desirable or is it instead preferable to use such information to condition a policy instrument such a tax or an interest rate this paper studies the relative merits of each means to use a policymaker s information in a flexible class of economies that feature dispersed information and payoff and learning externalities i provide conditions for when the exclusive use of a policy instrument or disclosure is optimal i then relate these to differences in the equilibrium and socially optimal use of information i conclude with a series of applications that show how my results apply to common beauty contest models competitive economies and a broad class of macroeconomic models among others

price level determinacy with an interest rate policy rule and rational expectations abstract this paper reconsiders a result obtained by sargent and wallace namely that price level indeterminacy obtains in their model if the monetary authorities adopt a feedback rule for the interest rate rather than the money stock it is shown that the indeterminacy vanishes if the interest rate rule is chosen so as to have a desired effect on the expected quantity of money demanded this holds even if considerable weight is given in the choice of a rule to the aim of smoothing interest rate fluctuations

weekly self scheduling forward contracting and pool involvement for an electricity producer an adaptive robust optimization approach abstract this paper addresses the optimization under uncertainty of the self scheduling forward contracting and pool involvement of an electricity producer operating a mixed power generation station which combines thermal hydro and wind sources and uses a two stage adaptive robust optimization approach in this problem the wind power production and the electricity pool price are considered to be uncertain and are described by uncertainty convex sets to solve this problem two variants of a constraint generation algorithm are proposed and their application and characteristics discussed both algorithms are used to solve two case studies based on two producers each operating equivalent generation units differing only in the thermal units characteristics their market strategies are investigated for three different scenarios corresponding to as many instances of electricity price forecasts the effect of the producers approach whether conservative or more risk prone is also investigated by solving each instance for multiple values of the so called budget parameter it was possible to conclude that this parameter influences markedly the producers strategy in terms of scheduling profit forward contracting and pool involvement these findings are presented and analyzed in detail and an attempted rationale is proposed to explain the less intuitive outcomes regarding the computational results these show that for some instances the two variants of the algorithms have a similar performance while for a particular subset of them one variant has a clear superiority

a discounted cash flow model of convertibles subject to multiple calls in a world of refunding costs and stochastic interest rates fixed income securities which can be converted into other assets such as common stock represent a sizable portion of the capital market 33 and have therefore received frequent attention in the financial literature 20 21 23 35 39 however due to their complexity attempts to develop mathematical models of convertibles have encountered severe computational and theoretical difficulties 36 one of the primary complications results from convertible securities generally having contractual call features which permit the issuing organization to redeem the securities at stipulated dates for specific prices in addition although a majority of convertibles listed in moody s bond guide have sinking funds the issue of analyzing convertible sinking fund calls represents a specific problem that has never been adequately addressed early studies of convertibles such as brigham 10 focused on the discounted cash flow approach to valuing the securities the general procedure was to estimate a terminal price for the convertible on an arbitrarily specified date in the future and then take the present value of the price together with all intervening fixed income payments these models lacked precision insofar as no theoretical framework was developed for specifying the relevant terminal date terminal price or discount rate and the individual effect of each call feature on convertible values was largely ignored other research such as walter and que 38 has employed regression analysis to pro

incomplete information higher order beliefs and price inertia the question that motivates this paper is how incomplete information impacts the response of prices to nominal shocks our baseline model is a variant of the calvo model in which firms observe the underlying nominal shocks with noise in this model the response of prices is pinned down by three parameters the precision of available information about the nominal shock the frequency of price adjustment and the degree of strategic complementarity in pricing decisions this result synthesizes the broader lessons of the pertinent literature however this synthesis provides only a partial view of the role of incomplete information once one allows for more general information structures than those used in previous work one cannot quantify the degree of price inertia without data on the dynamics of higher order beliefs or of the agents forecasts of inflation we highlight this with three extensions of our baseline model all of which break the tight connection between the precision of information and higher order beliefs featured in previous work

price level determinacy and the choice of policy targets under rational expectations abstract we show that in a conventional macro model with rational expectations the government can use monetary policy to peg real interest rates and still attain a determinate price level provided it also pegs some nominal policy variable e g nominal expenditures

intertemporal substitution and the role of monetary policy new classical macroeconomists have asserted that once one ignores the consequences of sustained expected inflation or what is normally referred to as the tobin effect or inflation tax monetary policy is invariably ineffective both in the long and short run this view is not correct it will be shown that inflation tax free monetary policy rules can have strong stabilisation effects in rational expectations models with intertemporal substitution the best way to eliminate possible inflation tax effects of monetary growth is to assume that as in barro s i976 model the long run expected rate of growth of the money supply is zero more generally if one were concerned exclusively with the effectiveness of stabilisation policy in the new classical sense i e the capability of influencing deviations of actual equilibrium output from its full information level it would be sufficient to postulate that money transfers are simply proportional to pre existing money holdings the a priori exclusion of the tobin effect as a pre requisite for the new classical doctrine is clearly stated in lucas i98i

rational expectations and the role of countercyclical monetary policy the potential role for systematic monetary policy to dampen fluctuations around the natural rate is examined in barro s 1976 model the source of the non neutrality is the effect of nonpermanent changes in the money supply on the inflation rate the real return to money which induces labor leisure substitutions when these non permanent changes take the form of future reactions to imperfectly perceived current disturbances they affect the deviation from the natural rate

information aggregation and policy the function of monetary policy to alter the informational content of money price signals is examined in a model where traders can observe an economy wide financial signal and a local commodity price under a passive policy money demand disturbances which are not directly observable are shown to be confused with real productivity shocks and thereby preclude prices from fully reflecting all information even when the policy authority has no informational advantage prospective money growth feedback rules can improve the structure of available information applications of the rational expectations hypothesis to monetary theory have focused on the informational aspects of money price signals a key element of the models of lucas 1972 1975 barro 1976 and sargent and wallace 1975 is that agents have limited powers of information acquisition and use prices as imperfect summaries from the rest of the world those works have suggested that monetary policy can affect the informational content of observed price signals and thereby affect real variables in weiss 1980a it was shown systematic money growth feedback rules can contribute to economic efficiency when the money demands of one group are based on factors not directly observed by all in this context monetary policy can alter the information content transmitted from the informed to the uninformed through observation of nominal price signals a limitation of these analyses is the omission of economy wide financial signals clearly stock and bond prices are observed accurately and costlessly empirically there are strong comovements between financial signals and economic activity traditional keynesian theory argues that financial signals exert an important influence on output by affecting the demand for new capital goods understanding the informational role of such signals is crucial to any theory which explains fluctuations as arising from incomplete information the present analysis investigates the structure of available information with its implications for real variables in a model where agents trade on both an economy wide capital market and a local commodity market the model has positive implications for the comovements of money demand disturbances aggregate investment expected and realized returns as well as normative implications for the conduct of policy the structure of exogenous information in the model differs from that of my earlier paper rather than assuming two types of traders informed and uninformed the model considers traders to have symmetric although noisy exogenous private information in this framework the economy wide market both aggregates and transmits individuals information about an aggregate structural variable this modification is both analytically convenient and illustrates how noise in the price system alters the importance of public relative to private sources of information the idea that prices aggregate individual information was first formalized in grossman 1976 in that paper a non monetary model of a speculative market was developed in which the price system conveyed all relevant information so as to yield an efficient allocation however this feature was also shown to break down if prices are influenced by

the default rate experience on high yield corporate debt recent 1978 83 net returns on high yield low rated debt have been impressive averaging 490 to 580 basis points above the long term government bond index but low rated junk bonds pose a risk of default not present in the higher rated segment of the bond market the authors divided the par value of defaulting debt by total low rated straight debt outstanding to arrive at an estimate of the default rate for high yield bonds excluding johns manville which had the only defaulting debt rated investment grade just prior to the default date for the 1974 84 period this averaged 1 52 per cent or 152 basis points annually year to year variations in the rate were substantial furthermore default experience differed across various industry segments railroads and reits were particularly vulnerable to default in the past although they are unlikely to represent a large portion of future defaults retailer electronic computer airline and oil and gas defaults have become more common in recent years losses from default are actually lower than the default rate alone implies defaulted bonds traded on average at 41 per cent of par shortly after default after accounting for the bonds retained value and the loss of interest the average reduction in return to the investor who had purchased the bonds at par would have been in the range of 96 to 100 basis points annually

optimization based bidding strategies in the deregulated market with the deregulation of electric power systems market participants are facing an important task of bidding energy to an independent system operator iso this paper presents a model and a method for optimization based bidding and self scheduling where a utility bids part of its energy and self schedules the rest as in new england the model considers iso bid selections and uncertain bidding information of other market participants with appropriately simplified bidding and iso models closed form iso solutions are first obtained these solutions are then plugged into the utility s bidding and self scheduling model which is solved by using lagrangian relaxation testing results show that the method effectively solves the problem with reasonable amount of cpu time

risk constrained profit maximization in day ahead electricity market the deregulation of the electricity industry has caused for the generation company genco the need of tools for measuring and managing the risk beyond the classical problem of generating unit scheduling in this paper a probabilistic framework for the problem of managing risk faced by gencos trading in day ahead energy market is proposed in particular a stochastic forecast of electricity price and the technical features of hydrothermal units are considered the approach is based on an optimization procedure for maximizing expected profits in the presence of risk constraints conditional value at risk for the distribution of daily profit is used as risk measure

the neutrality and optimality of counter cyclical monetary policy in equilibrium models with a wealth effect a condition is offered which is both necessary and sufficient for the counter cyclical neutrality of all linear monetary feedback rules with respect to deviations in real market output in that class of stochastic macro economic models with rational expectations additive disturbances multiple markets and a wealth effect on excess commodity demand studied by barro 1976 barro and fischer 1976 king 1982 asako 1982 waldo 1982 and marini 1985 the condition has the form of a constraint on the values of the control parameters of a general monetary feedback rule that includes all other linear feedback rules in this class of models as special cases when the selection of parameters violates this constraint prospective monetary feedback can completely stabilize deviations in real market output around its natural rate without sustained inflation la neutralite et loptimalite de la politique monetaire dans des modcles d equilibre quand un effet de richesse existe on propose une condition necessaire et suffisante pour assurer la neutralite contre cyclique de toutes les regles de retroaction mon6taires lin6aires pour ce qui est des deviations dans le niveau de produit r6el dans cette classe de modeles macro economiques stochastiques avec anticipations rationnelles chocs additifs marches multiples et un effet de richesse sur la demande exc6dentaire de biens tels qu etudies par barro 1976 barro fischer 1976 king 1982 asako 1982 waldo 1982 et marini 1985 cette condition prend la forme d une contrainte sur les valeurs des parametres de controle d une regle mon6taire generale de retroaction dont toutes les autres regles mon6taires lineaires dans cette classe de modele ne sont que des cas particuliers quand la s6lection des parametres ne satisfait pas cette contrainte la retroaction mon6taire prospective peut stabiliser completement les deviations du produit reel autour de son taux naturel sans engendrer une inflation soutenue i would like to thank jim brander ed burmeister john b carlson marsha courchane mike devereux ian domowitz jim glassman craig hakkio stephen r g jones woo sik jung doug mctaggart keizo nagatani doug pearce steve poloz neil raymon stan reynolds john seater shinichi watanabe de mmn wu two anonymous referees and seminar participants at the 1986 canadian economic association meetings the 1986 north american summer meetings of the econometric society the system committee on financial canadian journal of economics revue canadienne d economique xx no 3 august aouit 1987 printed in canada imprime au canada 0008 4085 87 612 624 1 50 canadian economics association this content downloaded from 207 46 13 52 on fri 21 oct 2016 05 54 00 utc all use subject to http about jstor org terms neutrality and optimality 613

the macroeconomic implications of financial deregulation abstract this paper explores the possible macroeconomic consequences of financial deregulation in an institutional environment where deregulation raises risks in banking the central bank is supposed to maximize an objective function in which the probability of bank failure is an argument it is then shown that the usual tradeoffs between policy objectives imply that financial deregulation will lead to more interest rate smoothing than would otherwise take place and further that because of restricted entry into banking deregulation will call for some inflation the transition toward deregulation raises special problems which are likely to require a more gradual approach toward the stationary equilibrium

inflation at the household level abstract we use scanner data to estimate inflation rates at the household level households inflation rates have an annual interquartile range of 6 2 9 0 percentage points most of the heterogeneity comes not from variation in broadly defined consumption bundles but from variation in prices paid for the same types of goods lower income households experience higher inflation but most cross sectional variation is uncorrelated with observables households deviations from aggregate inflation exhibit only slightly negative serial correlation almost all variability in a household s inflation rate comes from variability in household level prices relative to average prices not from variability in aggregate inflation

monetary policy and the information content of prices rational expectations and cleared markets lead to the proposition that feedback monetary policy is irrelevant to real activity as in the analyses of sargent and wallace however if agents are differentially informed and have access to a common price then prospective monetary policy actions future feedback to imperfectly known current circumstances can alter real activity by changing the information content of prices

forecasting next day electricity prices by time series models in the framework of competitive electricity markets power producers and consumers need accurate price forecasting tools price forecasts embody crucial information for producers and consumers when planning bidding strategies in order to maximize their benefits and utilities respectively this paper provides two highly accurate yet efficient price forecasting tools based on time series analysis dynamic regression and transfer function models these techniques are explained and checked against each other results and discussions from real world case studies based on the electricity markets of mainland spain and california are presented

why haven t nominal rates declined the capital asset pricing model can be used to help explain the seemingly anomalous behavior of interest rates over the past several years specifically an examination of the covariances between the market returns and real unexpected rates of return on stocks bills and bonds of various durations indicates that the variance of return on longer term bonds increased appreciably between 1977 79 and 1980 81 while their correlations with stock returns rose the relative risk premiums on these bonds should have risen accordingly the calculated real risk premium on bonds of eight years duration did increase significantly between june 1979 and december 1981 it is entirely possible that this increase more than offset any decline in the long term expected inflation rate although risk alone cannot account for the increase in the real short term rate the timing of the increase suggests a possible correlation with the change in the federal reserve s operating procedures in october 1979 the puzzle of the flat nominal yield curve in the early 1980s may not be a puzzle at all

global stability and the choice of policy targets under rational expectations abstract it is shown that if the supply of capital is properly incorporated in a macromodel with rational expectations the government cannot peg its expenditures wholly in real terms since otherwise the economy will be globally unstable

exchange rate policy and monetary information this paper develops a model of a small open economy in which the presence of local deviations from purchasing power parity give rise to differential information it is assumed that the monetary authorities are committed to buy and sell foreign exchange in order to support an exchange rate policy rule it is demonstrated that exchange rate policy can influence the distribution of real output i if agents possess incomplete and differential information and ii if they have contemporaneous money supply or balance of payments information it is also shown that exchange rate policy can be effective because of its ability to influence the information content of available monetary data the argument is turned around and used to support the frequent release of monetary data

do prices lead money a reexamination of the neutrality hypothesis do prices lead money a reexamination of the neutrality hypothesis in one class of theoretical models real effects occur only if changes in money growth are expected to occur in some future period if expected in the current period they are neutral some empirical models examine the neutrality of expected current money growth and therefore do not directly address the neutrality of expected future growth this paper develops an empirical model that explicitly incorporates expected future changes in money growth a reexamination of the rationality neutrality and macro rational expectations hypotheses over a sample of four countries suggests that the use of expected future money growth results in strong rejections of the neutrality hypothesis i introduction the revolution in macroeconomics inspired by the theory of rational expectations called into question the ability of systematic monetary policy to affect real economic variables much research has been devoted to the issue of policy effectiveness in the last decade and many examples have been constructed that demonstrate the theoretical possibility of nonneutrality even when expectations are formed rationally one result of this research has been to demonstrate that the expectation of a future change in the money growth rate can cause a change in the current value of real output in these models an expected change in money growth at some point in the future results in a change in the price level in all time periods prior to the change in the money growth rate this phenomenon of prices leading money see brock 1974 751 results in a change in real money balances in each time period prior to the expected change in the money growth rate and the change in real money balances results in nonneutral changes in real output in order for the nonneutrality result to hold in this class of models it is essential that the expected change in money growth be in some future time period so that prices and hence real balances change prior to the change in the money growth rate when the change in money growth is expected to occur in the current time period rather than in the future prices and the money supply change proportionately leaving the value of real balances unchanged in this case there is no change in real output this difference in the theoretical predictions concerning the neutrality of expected future and expected current changes in the money growth rate has implications for empirical tests of the neutrality hypothesis according to these models such tests ought to examine the significance of the relationship between the current value of real output and expected future changes in money growth tests of the neutrality hypothesis performed in the past such as those by barro 1977 1978 mishkin 1982 1983 and hoffman and schlagenhauf 1982 have examined the significance of the empirical relationship between the current value of real output and the expected current money growth rate thus these empirical models do not capture the crucial distinction between current and future changes in money growth rates this paper develops an empirical model based on expected future rather than expected current changes in the money growth rate in the real output equation and then reexamines the neutrality hypothesis the issue of whether expectations are formed rationally is also important in the analysis of the empirical evidence for the neutrality hypothesis as mishkin 1982 1983 points out the neutrality hypothesis has little meaning without a theory of expectation formation in light of this tests of the rationality hypothesis as well as the joint hypothesis of rationality and neutrality known as the macro rational expectations hypothesis 1 mre are also conducted ii theoretical models of nonneutral money in many equilibrium rational expectations models the neutrality of money depends upon whether an expected change in the money supply is in the current or some future time period

strategic bidding in an energy brokerage this focus of this paper is to present a framework in which strategies may developed for the individual participants in an energy brokerage such a framework is expected to be important with the increasing interest in electricity market structures such as the energy brokerage that deregulation has produced to illustrate the process of strategic bidding a simple suboptimal bidding strategy is presented with the aid of a numerical example the bidding strategy must be suboptimal because of the amount of unknown information about the other bidders further tuning of this strategy will be required before application to realistic scenarios