taming macroeconomic instability monetary and macro prudential policy interactions in an agent based model abstract we develop an agent based model to study the macroeconomic impact of alternative macro prudential regulations and their possible interactions with different monetary policy rules the aim is to shed light on the most appropriate policy mix to achieve the resilience of the banking sector and foster macroeconomic stability simulation results show that a triple mandate taylor rule focused on output gap inflation and credit growth and a basel iii prudential regulation is the best policy mix to improve the stability of the banking sector and smooth output fluctuations moreover we consider the different levers of basel iii and their combinations we find that minimum capital requirements and counter cyclical capital buffers allow to achieve results close to the basel iii first best with a much more simplified regulatory framework finally the components of basel iii are non additive the inclusion of an additional lever does not always improve the performance of the macro prudential regulation

answering the skeptics yes standard volatility models do provide accurate forecasts a voluminous literature has emerged for modeling the temporal dependencies in financial market volatility using arch and stochastic volatility models while most of these studies have documented highly significant in sample parameter estimates and pronounced intertemporal volatility persistence traditional ex post forecast evaluation criteria suggest that the models provide seemingly poor volatility forecasts contrary to this contention we show that volatility models produce strikingly accurate interdaily forecasts for the latent volatility factor that would be of interest in most financial applications new methods for improved ex post interdaily volatility measurements based on high frequency intradaily data are also discussed

the quantitative analytics of the basic neomonetarist model this paper constructs a dynamic macroeconomic model with less than perfect price flexibility which has a classical side consistent with real business cycle theory augmented by investment adjustment costs increasing returns to scale and a new flexible formalization of imperfect competition something akin to the classical dichotomy is justified by a mode of approximation appropriate for a model in which one state variable adjusts quickly while another state variable adjusts slowly even with investment adjustment costs monetary expansions are found to raise the real interest rate the determinants of real rigidity and the macroeconomic rate of price adjustment are investigated copyright 1995 by ohio state university press

price movements and price discovery in futures and cash markets r isk transfer and price discovery are two of the major contributions of futures markets to the organization of economic activity working 1962 evans 1978 p 80 and silber 1981 risk transfer refers to hedgers using futures contracts to shift price risk to others price discovery refers to the use of futures prices for pricing cash market transactions working 1948 wiese 1978 p 87 and lake 1978 p 161 the significance of both contributions depends upon a close relationship between the prices of futures contracts and cash commodities this paper examines the characteristics of price movements in cash or spot markets and futures markets for storable commodities section ii presents an analytical model of simultaneous price dynamics which suggests that over short intervals of time the correlation of price changes is a function of the elasticity of arbitrage between the physical commodity and its counterpart futures contract greater elasticity fosters more highly correlated price changes and thereby facilitates the risk transfer function the elasticity of supply of arbitrage services is constrained by among other things storage and transaction costs thus futures contracts will not in general provide perfect risk transfer facilities over short time horizons the essence of the price discovery function of futures markets hinges on whether new information is reflected first in changed futures prices or in changed cash prices hoffman 1932 pp 258259 the model in section ii provides a framework for analyzing whether one market is dominant in terms of information flows and price discovery in section iii we develop a model based on section ii which is appropriate for estimating the lead lag relationship between cash prices and futures prices section iv presents empirical estimates of the parameters of the model for seven different storable commodities wheat corn oats frozen orange juice concentrates copper gold and silver the cost of arbitrage between cash and futures differs across these commodities for this reason we are not surprised to find inter commodity differences in the correlation of short run price changes and in the substitutability of futures contracts for cash market positions with respect to the price discovery function of futures markets we find that while futures markets dominate cash markets cash prices do not merely echo futures prices there are reverse information flows from cash markets to futures markets as well

the time pattern of hedging and the volatility of futures prices the paper proposes a multi period model of hedging which allows for a futures position to be revised within the cash market holding period within this framework we assess the robustness of the two period theory of hedging when generalized to many periods we characterize the normal time path of a hedge and the way it is affected by the requirement that futures accounts mark to market daily finally we show how the resolution of production uncertainty over time affects hedging behavior and determines the volatility of futures prices in the large literature on hedging in futures markets the principal analytical accounts of hedging are framed in a two trade date setting an agent commits himself now to a future purchase or sale of a good whose cash price later is uncertain this risk is hedged by purchase or sale of an appropriate number of futures contracts and holding this futures position until the cash transaction is realized in the present paper we formulate a multi period model of hedging which allows for the futures position to be revised within the cash market holding period the resulting analysis captures an important institutional reality that is absent in a two trade date model namely the fact that the day to day fluctuations of the futures price will generate a series of random cash flows over the period during which a futures position is held this is due to the requirement that futures accounts mark to market daily within this framework we address a number of issues first we assess the robustness of the two period theory of hedging when generalized to many periods second we characterize the normal time path of a hedge and contrast futures and forward contracts from the perspective of an individual hedger finally we show how the resolution of production uncertainty over time affects hedging behaviour and determines the volatility of futures prices while the literature on asset demand in a multiperiod setting is large futures markets are specifically treated in a limited number of studies grauer and litzenberger 1976 are concerned principally with characterizing the relation of spot and futures prices in a market for a storable periodically produced commodity they offer a rationale for positive stock holding in markets where spot price exceeds the futures price richard and sundaresan 1980 are also concerned primarily with characterizing price behaviour since they posit identical consumers in equilibrium individual holdings of futures are zero there is no hedging activity in the sense that we understand it breeden 1980b analyzes the optimal futures position sizes in a multiperiod setting his framework is more general than ours in that his is a multi good multi asset model where preferences

optimal hedging and spreading in cointegrated markets abstract assuming that cash and futures markets are cointegrated this article derives the optimal multiperiod hedging strategy the model is then extended to the case of two futures markets optimal intramarket or intermarket spreading strategy is provided therein

bivariate garch estimation of the optimal commodity futures hedge six different commodities are examined using daily data over two futures contract periods cash and futures prices for all six commodities are found to be well described as martingales with near integrated garch innovations bivariate garch models of cash and futures prices are estimated for the same six commodities the optimal hedge ratio ohr is then calculated as a ratio of the conditional covariance between cash and futures to the conditional variance of futures the estimated ohrs reveal that the standard assumption of a time invariant ohr is inappropriate for each commodity the estimated ohr path appears non stationary which has important implications for hedging strategies

bioenergy policy and market development in finland and sweden abstract the use of biomass in finland and sweden has steadily increased over the past 25 years up to approximately 20 of the primary energy supply in 2001 in both countries most biomass originates from forests forest biomass is now an integral part of modern energy systems although primarily in industry and in the heating sector for example biomass accounts for 7 9 and 53 of the fuel mix in district heating in finland and sweden respectively the general energy policy of both countries has supported biomass for energy over the entire period although specific policies have changed with time research development and demonstration has been continuously supported and some subsidy schemes have been applied in particular for district heating systems dhs and combined heat and power heavy taxation of competing fossil fuels seems to have been the most effective policy instrument although this has been directed mainly at the heat and transportation fuel markets electricity taxes are imposed on consumption industry is largely exempt and do not discriminate significantly between the sources of electricity starting in 2003 sweden will have a quota based system a renewable portfolio standard which is expected to increase biomass based electricity production both countries possess vast and not fully exploited biomass resources in the form of forests and have a history of rational and large scale forestry strong actors exist both with regard to forest ownership and the industrial processing of forest products the user side in particular represented by dhs can also be characterised by strong and professional management over time structures have developed that facilitate an increased use of biomass for energy for example the forest industry infrastructure and extensive district heating actors within these structures have had the ability to react to policies resulting in a stable growth in biomass use

implied volatility functions empirical tests derman and kani 1994 dupire 1994 and rubinstein 1994 hypothesize that asset return volatility is a deterministic function of asset price and time and develop a deterministic volatility function dvf option valuation model that has the potential of fitting the observed cross section of option prices exactly using s p 500 options from june 1988 through december 1993 we examine the predictive and hedging performance of the dvf option valuation model and find it is no better than an ad hoc procedure that merely smooths black scholes 1973 implied volatilities across exercise prices and times to expiration

maximum likelihood estimation of fractional cointegration with an application to u s and canadian bond rates we estimate a multivariate arfima model to illustrate a cointegration testing methodology based on joint estimates of the fractional orders of integration of a cointegrating vector and its parent series previous cointegration tests relied on a two step testing procedure and maintained the assumption in the second step that the parent series were known to have a unit root in our empirical example of fractional cointegration we illustrate how uncertainty regarding the order of integration of the parent series can be even more important than uncertainty regarding the order of integration of the cointegrating vector when testing for cointegration

fiscal and monetary policies in complex evolving economies what is the most appropriate combination of fiscal and monetary policies in economies subject to banking crises and deep recessions we study this issue using an agent based model that is able to reproduce a wide array of macro and micro empirical regularities simulation results suggest that policy mixes associating unconstrained counter cyclical fiscal policy and monetary policy targeting employment is required to stabilise the economy we also show that discipline guided fiscal rules can be self defeating as they depress the economy without improving public finances finally we find that the effects of monetary and fiscal policies become sharper as the level of income inequality increases

preference free optimal hedging using futures abstract this paper provides an alternative formulation and proof of the conditions under which optimal hedge ratios are independent of risk preference and points out that the conditions are satisfied by a wide class of models of spot and futures returns

danish and norwegian wind industry the relationship between policy instruments innovation and diffusion this article compares the role of policy instruments in stimulating long term technological change in danish and norwegian wind industry it concludes that although predictability has periodically been low denmark s broad portfolio of policies and measures has been well adapted to the different stages in the development of its wind industry this has contributed to a high degree of innovation successful establishment in niche markets high degree of diffusion and establishment of domestic and international mass markets and in recent years an increasingly successful replacement of senescent technology with new the motivation of norway s wind energy policies and measures at least up until the late 1990s has been to increase power supply rather than to stimulate industrial development and technological change policies and measures have been weaker than in denmark have been less stable over time and stimulated the demand side much less they have not sufficiently covered the wind industry s perceived needs on different stages in the development of new technology and have not sufficiently stimulated continuous improvement learning and new product development dynamic efficiency in industry this has been part of the reason why there has been only a limited extent of innovation and diffusion of wind technology in norway

estimation of financial agent based models with simulated maximum likelihood abstract this paper proposes a general computational framework for empirical estimation of financial agent based models for which criterion functions have unknown analytical form for this purpose we adapt a recently developed nonparametric simulated maximum likelihood estimation based on kernel methods in combination with the model developed by brock and hommes 1998 which is one of the most widely analysed heterogeneous agent models in the literature we extensively test the properties and behaviour of the estimation framework as well as its ability to recover parameters consistently and efficiently using simulations key empirical findings indicate the statistical insignificance of the switching coefficient but markedly significant belief parameters that define heterogeneous trading regimes with a predominance of trend following over contrarian strategies in addition we document a slight proportional dominance of fundamentalists over trend following chartists in major world markets

optimal dynamic hedging in unbiased futures markets a discrete time dynamic hedging problem is solved under expected utility maximization and basis risk without imposing a particular parametric form for utility nor assuming normally distributed cash and futures prices the solution is valid for any increasing and strictly concave utility function and for quite general specifications of the joint distribution of cash and futures prices this generality is achieved by restricting the futures market to be unbiased and requiring that the size of the cash position be nonstochastic the dynamic hedging rule can be estimated empirically using similar methods to those used to estimate static hedge ratios

on the pitfalls of multi year rollover hedges the case of hedge to arrive contracts it is shown that it is theoretically infeasible for multi year rollover hedge to arrive contracts and for rollover hedges in general to succeed at locking in high current prices for crops to be harvested one or more years into the future the study utilizes 107 years of data to present strong empirical evidence that the corn market behaves remarkably similarly to what price theory predicts results also confirm that short historical time series are unreliable for predicting rare events hence empirical studies of risk management contracts capitalizing on unusual occurrences should use samples sufficiently large to contain a meaningful number of relevant observations copyright 2001 oxford university press

a comparison of bioenergy policies and institutional frameworks in the rural areas of emilia romagna and norway abstract this paper explores the relationship between bioenergy rural development and related innovation processes in two case studies emilia romagna in italy and norway for a better understanding of the impacts of different policy regimes on bioenergy innovation regional innovation systems theory is used to explain the results emerging from the case studies and to identify the presence of potential elements for innovation we used policy and relevant literature analysis and a grounded approach based on semi structured interviews of relevant actors involved in the local bioenergy system the main findings show that the case studies present consistent differences in terms of policy instruments and socio political dynamics emilia romagna has major weaknesses and threats that hinder innovation but some positive potential elements for the future norway presents stronger local elements for innovation within local bioenergy systems such as the employment of local resources and knowledge but critical market and policy features that threaten further innovation developments the conclusion draws on the comparative analysis to discuss policy implications of the study

income distribution credit and fiscal policies in an agent based keynesian model this work studies the interactions between income distribution and monetary and fiscal policies in terms of ensuing dynamics of macro variables gdp growth unemployment etc on the grounds of an agent based keynesian model the direct ancestor of this work is the keynes meeting schumpeter formalism presented in dosi et al 2010 to that model we add a banking sector and a monetary authority setting interest rates and credit lending conditions the model combines keynesian mechanisms of demand generation a schumpeterian innovation fueled process of growth and minskian credit dynamics the robustness of the model is checked against its capability to jointly account for a large set of empirical regularities both at the micro level and at the macro one the model is able to catch salient features underlying the current as well as previous recessions the impact of financial factors and the role in them of income distribution we find that different income distribution regimes heavily affect macroeconomic performance more unequal economies are exposed to more severe business cycles fluctuations higher unemployment rates and higher probability of crises on the policy side fiscal policies do not only dampen business cycles reduce unemployment and the likelihood of experiencing a huge crisis in some circumstances they also affect positively long term growth further the more income distribution is skewed toward profits the greater the effects of fiscal policies about monetary policy we find a strong non linearity in the way interest rates affect macroeconomic dynamics in one regime with low rates changes in interest rates are ineffective up to a threshold beyond which increasing the interest rate implies smaller output growth rates and larger output volatility unemployment and likelihood of crises

mean gini portfolio theory and the pricing of risky assets this paper presents the mean gini mg approach to analyze risky prospects and construct optimum portfolios the proposed method has the simplicity of a mean variance model and the main features of stochastic dominance efficiency since mean gini is consistent with investor behavior under uncertainty for a wide class of probability distributions gini s mean difference is shown to be more adequate than the variance for evaluating the variability of a prospect the mg approach is then applied to capital markets and the security valuation theorem is derived as a general relationship between average return and risk this is further extended to include a degree of risk aversion that can be estimated from capital market data the analysis is concluded with the concentration ratio to allow for the classification of different securities with respect to their relative riskiness

index arbitrage and nonlinear dynamics between the s p 500 futures and cash we use a cost of carry model with nonzero transaction costs to motivate estimation of a nonlinear dynamic relationship between the s p 500 futures and cash indexes discontinuous arbitrage suggests that a threshold error correction mechanism may characterize many aspects of the relationship between the futures and cash indexes we use minute by minute data on the s p 500 futures and cash indexes the results indicate that nonlinear dynamics are important and related to arbitrage and suggest that arbitrage is associated with more rapid convergence of the basis to the cost of carry than would be indicated by a linear model article published by oxford university press on behalf of the society for financial studies in its journal the review of financial studies

a fractional cointegration analysis of purchasing power parity a generalized notion of cointegration called fractional cointegration is introduced to examine the long run purchasing power parity ppp hypothesis by allowing deviations from equilibrium to follow a fractionally integrated process the fractional cointegration analysis can capture a wider range of mean reversion behavior than standard cointegration analyses this gain is flexibility in modeling subtle mean reverting dynamics is found to be important for a proper evaluation of long run ppp empirical results based on historical data for the 1914 1989 period show that ppp reversion exists and can be characterized by a fractionally integrated process in three out of five countries studied the results support ppp as a long run phenomenon though significant short run deviations from ppp can exist

generalized optimal hedge ratio estimation a generalized approach to estimating optimal hedge ratios on futures markets is developed the generalized approach is not difficult to apply and provides a framework for evaluating the appropriateness of conventional simple regression approaches to optimal hedge ratio estimation in an application to storage hedging of corn soybeans and wheat it is found that simple regression using price levels or returns leads to errors in optimal hedge ratio estimation but that simple regression using price changes provides reasonably accurate estimates

rollover hedging and missing long term futures markets sequential rollover of annual futures positions provides farmers or others with a means of long term hedging consequently the absence of multiyear futures markets may not be a serious problem however year to year basis risk exists which can render rollovers ineffective in hedging evidence on soybean corn and cotton futures suggests that rollovers would be effective at locking in an initial price for a three to six year period but would be ineffective in routine hedging over a series of successive three to six year periods

exploring a pioneering bioenergy system the case of enkoping in sweden in order to contribute to knowledge on how to expand bioenergy this paper examines an example of success from sweden the idea is to identify factors that can explain the difference between success and failure of bioenergy systems in the aftermath of the oil crises in the 1970s the local government in the town of enkoping in sweden was cautioned by the local swedish military regiment to shift towards domestic energy supplies rather than imported fossil fuels during the decades that followed the local energy companies developed a pioneering bioenergy system there are 3 important conditions relevant to explain the success 1 the introduction of the carbon tax in sweden provided market conditions making bioenergy sufficiently competitive with fossil fuels 2 the know how developed by the local energy companies through experimentation and collaboration with research institutions encouraged investments in local opportunities and 3 the formation of partnerships in a regional network of actors including private companies providing biofuels and technology research institutions and local government helped to co ordinate the development of the bioenergy system less

an overview of the biomass resource potential of norway for bioenergy use this paper provides an overview of the norwegian biomass resources for bioenergy use bioenergy market and frame conditions through a comparison with denmark finland and sweden which have a leading role in bioenergy production in the european union although the contribution of renewable energy in norway is among the highest in europe 58 mainly due to hydroelectricity bioenergy has a low contribution to norwegian energy supply 6 as the experience from the other eu member states showed long term stable policies and relatively strong incentives are needed to initiate and build up a bioenergy market in norway there is still a significant available potential for increasing the bioenergy contribution to the energy supply the abundance and relatively low prices of energy i e fossil fuels and electricity in connection with the need of high investment costs did not favour so far bioenergy production additional forest biomass may be mobilized in norway by more intensive management of currently exploited forests however there are several limitations related to topography accessibility and economics the biomass resources and the full range of technologies available for heat or electricity generation both at small and large scale that can provide good opportunities for increased bioenergy production the experience gained in denmark finland and sweden may be relevant for norway as well as for other eu member states where there is a deficit of mobilization of biomass resources and insufficient industrial integration of bioenergy with other forest based sectors

some recent developments in futures hedging the use of futures contracts as a hedging instrument has been the focus of much research at the theoretical level an optimal hedge strategy is traditionally based on the expected utility maximization paradigm a simplification of this paradigm leads to the minimum variance criterion although this paradigm is quite well accepted alternative approaches have been sought at the empirical level research on futures hedging has benefited from the recent developments in the econometrics literature much research has been done on improving the estimation of the optimal hedge ratio as more is known about the statistical properties of financial time series more sophisticated estimation methods are proposed in this survey we review some recent developments in futures hedging we delineate the theoretical underpinning of various methods and discuss the econometric implementation of the methods

production hedging and speculative decisions with options and futures markets this paper analyzes production hedging and speculative decisions when both futures and options can be used in an expected utility model of price and basis uncertainty when futures and option prices are unbiased optimal hedging requires only futures options are redundant options are used together with futures as speculative tools when market prices are perceived as biased straddles are used to speculate on beliefs about price volatility and to hedge the futures position used to speculate on beliefs about the expected value of the futures price mean variance analysis in general is not consistent with expected utility when options are allowed one extension of sandmo s expected utility model of the competitive firm under price uncertainty considers the use of futures or forward contracts danthine holthausen and feder just and schmitz show that without basis uncertainty the optimal output level is not affected by price risk also with an unbiased futures price the optimal hedging level of the competitive firm is the full hedge while a biased futures price will result in a partly speculative hedge related works include batlin who allows for basis risk in the form of imperfect time hedging paroush and wolf and antonovitz and nelson who consider basis risk with the simultaneous availability of futures and forward contracts grant honda losq newbery and stiglitz and rolfo who allow for production uncertainty chavas and pope who allow for production uncertainty and hedging costs and karp who considers the problem in a dynamic setting this paper provides a further extension of this analysis by allowing options as a means of coping with price risk with the introduction of commodity options on futures for many commodities in the 1980s this problem appears relevant to a number of production settings especially in agriculture specifically this paper considers the simultaneous choice of a production level and of hedging levels of futures and options within the general expected utility model the model allows for basis uncertainty but the production process is assumed to be nonstochastic

the preferred hedge instrument abstract the optimal choice of hedging instruments in futures and option markets is analyzed for a risk averse exporting firm that maximizes expected utility assuming unbiased futures and options prices optimal output and hedging decisions are derived it is shown that futures will unequivocally be preferred to options this preference for futures continues even if their price is adversely biased provided the bias is not too strong

a method for agent based models validation abstract this paper proposes a new method to empirically validate simulation models that generate artificial time series data comparable with real world data the approach is based on comparing structures of vector autoregression models which are estimated from both artificial and real world data by means of causal search algorithms this relatively simple procedure is able to tackle both the problem of confronting theoretical simulation models with the data and the problem of comparing different models in terms of their empirical reliability moreover the paper provides an application of the validation procedure to the agent based macroeconomic model proposed by dosi et al 2015

hedging long term exposures with multiple short term futures contracts this article analyzes the problem facing an agent who has a long term commodity supply commitment and who wishes to hedge that commitment using short maturity commodity futures contracts as time evolves the agent has to roll the hedge as old futures contracts mature and new futures contracts are listed this gives rise to hedge errors the optimal hedging strategy is characterized in a world where contracts of several different maturities coexist the strategy is independent both of the agent s risk aversion and under certain conditions of beliefs about expected returns from holding futures contracts the methodology is compared with approaches based on dynamic models of the term structure it is tested on data from the oil futures market article published by oxford university press on behalf of the society for financial studies in its journal the review of financial studies

currency options and the optimal hedging of contingent foreign exchange exposure foreign exchange transaction exposures over the complete range of probabilities as well the optimal forward and option hedge alternatives three utility functions are used covering a wide range of risk postures in marked contrast with the virtually universal endorsement of option hedging contingent exposures to be found in the financial management literature our results indicate that options have little if any useful role to play in the hedging of transaction exposures of any sort

the empirical minimum variance hedge decision making under unknown true parameters estimation risk is discussed along with bayes and parameter certainty equivalent pce criteria bayes criterion incorporates estimation risk in a manner consistent with expected utility maximization the pce method which is the most commonly used is not consistent with expected utility maximization bayes criterion is employed to solve for the minimum variance hedge ratio empirical application of bayes minimum variance hedge ratio is addressed and illustrated simulations shoe that discrepancies between prior and sample parameters may lead to substantial differences between bayesian and pce minimum variance hedges

optimal hedging in the futures market under price uncertainty abstract we show that there exists a simple optimal hedging rule in the futures markets for all risk averse decision makers given that a futures price today is an unbiased predictor of the futures price next period b basis is independent of the spot price

schumpeter meeting keynes a policy friendly model of endogenous growth and business cycles this paper studies an agent based model that bridges keynesian theories of demandgeneration and schumpeterian theories of technology fueled economic growth we employ the model to investigate the properties of macroeconomic dynamics and the impact of public polices on supply demand and the fundamentals of the economy we find profound complementarities between factors influencing aggregate demand and drivers of technological change that affect both short run fluctuations and longterm growth patterns from a normative point of view simulations show a corresponding complementarity between keynesian and schumpeterian policies in sustaining long run growth paths characterized by milder fluctuations and relatively lower unemployment levels the matching or mismatching between innovative exploration of new technologies and the conditions of demand generation appear to suggest the presence of two distinct regimes of growth or absence thereof characterized by different short run fluctuations and unemployment levels

agent based stock flow consistent macroeconomics towards a benchmark model abstract the paper moves from a discussion of the challenges posed by the crisis to standard macroeconomics and the solutions adopted within the dsge community although several recent improvements have enhanced the realism of standard models we argue that major drawbacks still undermine their reliability in particular dsge models still fail to recognize the complex adaptive nature of economic systems and the implications of money endogeneity the paper argues that a coherent and exhaustive representation of the inter linkages between the real and financial sides of the economy should be a pivotal feature of every macroeconomic model and proposes a macroeconomic framework based on the combination of the agent based and stock flow consistent approaches the papers aims at contributing to the nascent ab sfc literature under two fundamental respects first we develop a fully decentralized ab sfc model with several innovative features and we thoroughly validate it in order to check whether the model is a good candidate for policy analysis applications results suggest that the properties of the model match many empirical regularities ranking among the best performers in the related literature and that these properties are robust across different parameterizations second the paper has also a methodological purpose in that we try to provide a set or rules and tools to build calibrate validate and display ab sfc models

estimation of agent based models using sequential monte carlo methods abstract estimation of agent based models is currently an intense area of research recent contributions have to a large extent resorted to simulation based methods mostly using some form of simulated method of moments estimation smm there is however an entire branch of statistical methods that should appear promising but has to our knowledge never been applied so far to estimate agent based models in economics and finance markov chain monte carlo methods designed for state space models or models with latent variables this latter class of models seems particularly relevant as agent based models typically consist of some latent and some observable variables since not all the characteristics of agents would mostly be observable indeed one might often not only be interested in estimating the parameters of a model but also to infer the time development of some latent variable however agent based models when interpreted as latent variable models would be typically characterized by non linear dynamics and non gaussian fluctuations and thus would require a computational approach to statistical inference here we resort to sequential monte carlo smc estimation based on a particle filter this approach is used here to numerically approximate the conditional densities that enter into the likelihood function of the problem with this approximation we simultaneously obtain parameter estimates and filtered state probabilities for the unobservable variable s that drive s the dynamics of the observable time series in our examples the observable series will be asset returns or prices while the unobservable variables will be some measure of agents aggregate sentiment we apply smc to two selected agent based models of speculative dynamics with somewhat different flavor the empirical application to a selection of financial data includes an explicit comparison of the goodness of fit of both models

macroeconomic simulation comparison with a multivariate extension of the markov information criterion abstract the paper aims to address the issue of comparing agent based models abms with more traditional var and dsge models by developing a multivariate extension of the markov information criterion mic of barde 2017 the univariate mic measures the informational distance between a simulation model and some empirical data by mapping the simulated data to a markov transition matrix and is proven to provide an unbiased measurement for all models reducible to a markov process as a result the mic can accurately measure distance using only simulated data for a wide class of data generating processes the paper first presents the multivariate extension of the mic and its validation on var and dgse models before carrying the first direct comparison between a macroeconomic abm and a dgse model namely the benchmark abm of caiani et al 2016 and smets and wouters 2007

production uncertainty and the input decision of the competitive firm facing the futures market abstract production uncertainty is introduced into the model of the competitive firm facing the futures market the firm s input decision is shown to be highly sensitive to the nature of the production uncertainty

decentralised bioenergy systems a review of opportunities and threats decentralised bioenergy systems are receiving increasing attention due to the potential ability to support local development create local employment and contribute to climate change mitigation these issues along with other bioenergy sustainability issues are reviewed through eighteen international case studies with the objective of identifying opportunities and threats to decentralised bioenergy systems the case studies were selected based on feedstock type bioenergy type production capacity synergistic alliances ownership structure and physical locations this variation was used to provide a basis for evaluating opportunities and threats from different contexts commercial viability remains the primary concern for the sustainability of decentralised bioenergy systems there are however opportunities for compounding benefits through integrating small scale decentralised bioenergy systems with other production systems integrated production including closed loop models allow waste materials from one process to be used as inputs in other production processes and thereby increasing economic social and environmental outcomes synergistic opportunities along the bioenergy production chain which include feedstock production bioenergy marketing and distribution could also be exploited by communities and other investors to minimise decentralised production risk

direct comparison of agent based models of herding in financial markets abstract the present paper tests a new model comparison methodology by comparing multiple calibrations of three agent based models of financial markets on the daily returns of 24 stock market indices and exchange rate series the models chosen for this empirical application are the herding model of gilli and winker 2003 its asymmetric version by alfarano et al 2005 and the more recent model by franke and westerhoff 2011 which all share a common lineage to the herding model introduced by kirman 1993 in addition standard arch processes are included for each financial series to provide a benchmark for the explanatory power of the models the methodology provides a consistent and statistically significant ranking of the three models more importantly it also reveals that the best performing model franke and westerhoff is generally not distinguishable from an arch type process suggesting their explanatory power on the data is similar

the economic value of minimum variance hedges the present article examines the potential economic gains from better minimum variance hedge mvh estimates focusing on the assumptions that yield mvhs consistent with expected utility maximization it is found that the economic value of better mvh estimates is negligible and that optimal hedges are substantially different from mvhs when the usual mvh restrictions are relaxed among other things findings suggest that the hedging research s recent emphasis on better mvhs has been a waste of resources investigating the consequences of relaxing the standard mvh assumptions seems to be much more important than recent literature contributions

a simple multiperiod minimum risk hedge model a multiperiod hedging model is developed that is simpler than other multiperiod models in the literature the model permits periodic adjustment of the hedge while minimizing the producer s profit variance minimum risk hedge ratios are calculated for steers cows hogs corn and soybeans using the full model with hedge adjustments every two months these ratios are compared to those using the model without periodic hedge adjustments and to a simple single period model the results suggest that simple models may work well for simple hedges while the full model is best for more complex hedging situations such as cross hedges our purpose in this paper is to develop a multiperiod hedging model in which the hedge can be updated each period other multiperiod hedging models e g anderson and danthine karp have substantial data requirements which limit their use as viable hedging tools our aim is to develop a simpler model that will have practical application the model is used to calculate minimum risk hedge ratios for steers cows hogs corn and soybeans and these ratios are compared with hedge ratios based on a multiperiod model in which the hedge cannot be adjusted each period simple minimum risk hedge ratios also are computed for each commodity and compared with the other ratios