the classification and performance of alternative exchange rate systems abstract owing to dissatisfaction with the imf s de jure classification of exchange rate regimes a substantial literature has emerged presenting de facto classifications of exchange rate systems and using the latter classifications to compare performances of alternative regimes in terms of key macroeconomic variables this paper critically reviews the literature on de facto regimes in particular the paper 1 describes the main methodologies that have been used to construct de facto codings 2 surveys the empirical literature generated by de facto regime codings and 3 lays out the problems inherent in constructing de facto classifications the empirical literature is found to yield few robust findings we argue that the as yet unfulfilled objective of this literature and the major research agenda for the future in this area lies in the need of a more thorough investigation of the degree of monetary policy independence without relying exclusively on movements in exchange rates an agenda the attainment of which is made especially challenging because of the lack of comprehensive and reliable data on reserves and interest rates

to float or to fix evidence on the impact of exchange rate regimes on growth we study the relationship between exchange rate regimes and economic growth for a sample of 183 countries over the post bretton woods period using a new de facto classification of regimes based on the actual behavior of the relevant macroeconomic variables in contrast with previous studies we find that for developing countries less flexible exchange rate regimes are associated with slower growth as well as with greater output volatility for industrial countries regimes do not appear to have any significant impact on growth the results are robust to endogeneity corrections and a number of alternative specifications borrowed from the growth literature

definition consistent measurement of exchange market pressure currencies can be under severe pressure but in a managed exchange rate regime that is not fully visible via the change in the exchange rate the literature has proposed a way to measure such exchange market pressure emp indirectly by adding interest rate changes and forex interventions to the exchange rate change we demonstrate that this measure is not consistent with the definition of emp and develop a new measure that is consistent this is first derived within the commonly used monetary exchange rate model then we generalize the analysis by avoiding the use of an exchange rate model we find that the interest rate should not be taken in the first difference form used so far but rather in level form and relative to the interest rate chosen if the country had no exchange rate objective applications on the european monetary system and east asian crises confirm that this improvement is highly relevant in practice

estimation of de facto flexibility parameter and basket weights in evolving exchange rate regimes a new technique for estimating countries de facto exchange rate regimes synthesizes two approaches one approach estimates the implicit de facto basket weights in an ols regression of the local currency value rate against major currency values here the hypothesis is a basket peg with little flexibility the second estimates the de facto degree of exchange rate flexibility by observing how exchange market pressure is allowed to show up here the hypothesis is an anchor to the dollar or some other single major currency but with a possibly substantial degree of exchange rate flexibility around that anchor it is important to have available a technique that can cover both dimensions inferring anchor weights and the flexibility parameter we test the synthesis technique on a variety of fixers floaters and basket peggers we find that real world data demand a statistical technique that allows parameters and regimes to shift frequently accordingly we here take the next step in estimation of de facto exchange rate regimes endogenous estimation of parameter breakpoints following bai and perron jel numbers f31 f41

exchange arrangements entering the twenty first century which anchor will hold this article provides a comprehensive history of anchor or reference currencies exchange rate arrangements and a new measure of foreign exchange restrictions for 194 countries and territories over 1946 2016 we find that the often cited post bretton woods transition from fixed to flexible arrangements is overstated regimes with limited flexibility remain in the majority even if central bankers communications jargon has evolved considerably in recent decades it is apparent that many still place a large implicit weight on the exchange rate the u s dollar scores as the world s dominant anchor currency by a very large margin by some metrics its use is far wider today than 70 years ago in contrast the global role of the euro appears to have stalled we argue that in addition to the usual safe assets story the record accumulation of reserves since 2002 may also have to do with many countries desire to stabilize exchange rates in an environment of markedly reduced exchange rate restrictions or more broadly capital controls an important amendment to the conventional portrayal of the macroeconomic trilemma

flexibility and uncertainty the preserving of flexibility when faced with uncertainty is a neglected aspect of behaviour under risk yet it is an important factor in decisions to hold liquid assets or delay irreversible investment this paper formalizes the notion of flexibility in a sequential decision context and relates its value to the amount of information an agent expects to receive a rudimentary money demand model is developed embodying these ideas and the history of flexibility as an economic concept is traced choices are frequently made between alternatives that imply different degrees of future commitment between a short term investment that leaves future options open for example and a long term one that by its very nature forecloses those options the relative attractiveness of the two depends on their probability distributions of payoffs over time a basic consideration in this choice is the recognition that beliefs about the risks governing these payoffs may change current doubts may be partially resolved in the near future this prospect decreases the attractiveness of the longer term commitment in that one is able to respond less fully to new information and even if it does not directly affect the risks associated with shorter term choices enhances their appeal this paper formalizes the above remarks by establishing connections between the following two partial orderings the first is an ordering based on variability of beliefs one set of beliefs is more variable than another if more final risk is resolved at an intermediate stage the more one expects to learn by an intermediate period relative to what one knows today the more variation one is anticipating in beliefs about the final outcome the second is an ordering of current actions or positions based on flexibility one position is more flexible than another if it leaves available a larger set of future positions at any given level of cost these two orderings are incorporated in a simple sequential decision model to suggest the following behavioural principle the more variable are a decision maker s beliefs the more flexible is the position he will choose this principle potentially applies whenever i there will be opportunities to act after further information is received and ii current actions influence either the attractiveness or availability of different future actions

exploring investment potential in a context of nuclear phase out uncertainty perfect vs imperfect electricity markets abstract in view of the ongoing nuclear power debate in europe we analyze how uncertainty about a nuclear phase out affects investment capacity decisions by belgian electricity suppliers depending on the type of market structure considered to achieve this goal we build a structural model and solve it by using game theoretic and optimization approaches in order to consider the different types of market structure namely oligopoly simplified to a duopoly in this case and the two extremes of the competition spectrum i e monopoly and perfect competition we show that higher levels of investment in new electricity generation capacity are reached with decreasing probability of nuclear license extension and or with higher levels of competition in the market moreover investments in perfectly competitive markets are less influenced by changes in the probability of future nuclear license extension resulting in a more stable long term investment climate however the consideration of possible changes in market structure and gradual nuclear phase out is crucial in order to not overestimate investment potential in belgium

assessing china s exchange rate regime the imf articles of agreement forbid a country from manipulating its currency for unfair advantage the us treasury has been legally required since 1988 to report to congress biannually regarding whether individual trading partners are guilty of manipulation one part of this paper tests econometrically two competing sets of hypothesized determinants of the treasury decisions 1 legitimate economic variables consistent with the imf definition of manipulation the partners overall current account gdp its reserve changes and the real overvaluation of its currency and 2 variables suggestive of domestic american political expediency the bilateral trade balance us unemployment and an election year dummy the econometric results suggest that the treasury verdicts are driven heavily by the us bilateral deficit though other variables also turn out to be quite important in 2005 china announced a switch to a new exchange rate regime the exchange rate would be set with reference to a basket of other currencies with numerical weights unannounced allowing a movement of up to 0 3 within any given day although this step was originally accepted at face value in public policy circles scepticism is in order the second econometric part of the paper evaluates what exchange rate regime china has actually been following we use the technique introduced by frankel and wei 1994 1 one regresses changes in the value of the local currency in this case the rmb against changes in the values of the dollar euro yen and other currencies that may be in the basket we find that within 2005 the de facto regime remained a peg to a basket that put virtually all weight on the dollar subsequently there has been a modest but steady increase in flexibility with some weight shifted to a few non dollar currencies but not those one might expect in any case the weight on the dollar was still fairly heavy in 2006 the paper tests whether the decline in the implicit weight on the dollar is related to the pressure from us officials it also considers whether the increase in flexibility that we have seen small though it is has been gradually accelerating at a rate that would suggest the likelihood of some genuine flexibility in the not so distant future jeffrey a frankel and shang jin wei 1 ref 18

cointegration analysis of german and british tourism demand for greece abstract germany and great britain are traditionally two of the most important sources of tourism for greece the purpose of this paper is to investigate changes in the long run demand for tourism to greece by these two countries in order to explain the demand for tourism we are using a number of leading macroeconomic variables including income in origin countries germany and great britain tourism prices in greece and transportation cost and exchanges rates between the three countries annual data from the three countries covering the period from 1960 to 2000 are employed augmented dickey fuller test for unit root is examined in the univariate framework and johansen s maximum likelihood procedure is used to test the cointegration method and to estimate the number of cointegrating vectors of var model error correction models are estimated to explain german and british demand for tourism to greece

the mirage of floating exchange rates this note summarizes some of the highlights of my longer paper with guillermo calvo fear of floating many emerging market countries have suffered financial crises one view blames soft pegs for these crises adherents to that view suggest that countries move to corner solutions hard pegs or floating exchange rates we analyze the behavior of exchange rates reserves and interest rates to assess whether there is evidence that country practice is moving toward corner solutions we focus on whether countries that claim they are floating are indeed doing so we find that countries that say they allow their exchange rate to float mostly do not there seems to be an epidemic case of fear of floating

forecasting international tourist flows to australia a comparison between the direct and indirect methods this paper compares between the use of direct and indirect forecasting of international tourist flows to australia the indirect method is applicable when time series is a contemporaneous aggregate of others which is often the case for tourist flows time series in this case forecasts are generated by aggregating those of the component variables of aggregation an alternative is the direct method whereby forecasts are generated directly from the aggregated variable this paper uses seasonal arima models regression based models and harvey s structural time series models to compare the accuracy of the two forecasting methods we find evidence strongly in favour of the indirect method using monthly time series for international tourist arrivals to australia

multi resource investment strategies operational hedging under demand uncertainty abstract consider a firm that markets multiple products each manufactured using several resources representing various types of capital and labor and a linear production technology the firm faces uncertain product demand and has the option to dynamically readjust its resource investment levels thereby changing the capacities of its linear manufacturing process the cost to adjust a resource level either up or down is assumed to be linear the model developed here explicitly incorporates both capacity investment decisions and production decisions and is general enough to include reversible and irreversible investment the product demand vectors for successive periods are assumed to be independent and identically distributed the optimal investment strategy is determined with a multi dimensional newsvendor model using demand distributions a technology matrix prices product contribution margins and marginal investment costs our analysis highlights an important conceptual distinction between deterministic and stochastic environments the optimal investment strategy in our stochastic model typically involves some degree of capacity imbalance which can never be optimal when demand is known

real exchange rate overvaluation and wto dispute initiation in developing countries why and when do developing countries file trade disputes at the world trade organization wto although financial conditions have long been considered an important driver of trade policy they have been largely absent from the literature on trade disputes we argue that developing country governments bring more trade dispute to the wto when overvalued real exchange rates put exporters at a competitive disadvantage this dynamic is most prevalent in countries where large foreign currency debt burdens discourage nominal currency devaluations that would otherwise serve exporters interests our findings provide an explanation for differences in dispute participation rates among developing countries and also suggest a new link between exchange rate regimes and trade policy

electricity demand by time of use an application of the household aids model in this study we estimated the price and expenditure elasticities of peak and off peak electricity consumption using a micro data set on 220 households living in 19 swiss cities the household version of the almost ideal demand system model aids was used as a framework to incorporate household characteristics the aids model was expanded by specifying the intercept as a linear function of household characteristics variables results indicate that demand for peak and off peak electricity is elastic and that cross price effects are positive as well as the elasticity of substitution therefore peak and off peak electricity are substitutes in the hicks allen sense

price of anarchy in a linear state stochastic dynamic game abstract we consider a linear state dynamic game played over an event tree and determine analytically the price of anarchy poa which is given by the ratio of player s outcome in the cooperative game to her outcome in the noncooperative game next we illustrate our findings in the context of a pollution control problem we conduct a sensitivity analysis to assess the impact on poa and its lower and upper bounds of varying the different parameter values

investment and capacity choice under uncertain demand this paper extends the real options literature by discussing an investment problem where a firm has to determine optimal investment timing and optimal capacity choice at the same time under conditions of irreversible investment expenditures and uncertainty in future demand after the project is installed with a certain maximum capacity this capacity is fixed as an upper boundary to the output and cannot be adjusted later on it turns out that in the framework of this once and for all decision uncertainty in future demand leads to an increase in optimal installed capacity but on the other hand it causes investment to be delayed to an extent that even small uncertainty makes waiting and accumulation of further information the optimal decision for large ranges of demand limiting the capacity which may be installed weakens this extreme effect of uncertainty

forecasting u s tourist arrivals using optimal singular spectrum analysis this study examines the potential advantages of using singular spectrum analysis ssa for forecasting tourism demand to do this it examines the performance of ssa forecasts using monthly data for tourist arrivals into the unites states over the period 1996 to 2012 the ssa forecasts are compared to those from a range of other forecasting approaches previously used to forecast tourism demand these include arima exponential smoothing and neural networks the results presented show that the ssa approach produces forecasts which perform statistically significantly better than the alternative methods in forecasting total tourist arrivals into the u s forecasts using the ssa approach are also shown to offer a significantly better forecasting performance for arrivals into the u s from individual source countries of the alternative forecasting approaches exponential smoothing and feed forward neural networks in particular were found to perform poorly the key conclusion is that singular spectrum analysis ssa offers significant advantages in forecasting tourist arrivals into the us and is worthy of consideration for other forecasting studies of tourism demand

valuing flexibility as a complex option this paper develops an approach for valuing flexible production systems using contingent claims pricing demand curves for our model s underlying assets output products may be downward sloping in contrast with the standard option pricing assumption also our marginal production exercise costs may be increasing in addition we allow for multiple products and a production capacity constraint these elements of the model result in complex exercise decisions for the contingent claims which comprise the production system s value we illustrate our approach by valuing a flexible system that produces two products which have profit margin functions with stochastic parameters

optimal investment strategies for flexible resources considering pricing and correlated demands we study the optimal resource investment decision faced by a two product price setting firm that operates in a monopolistic setting and employs a postponed pricing scheme the firm has the option to invest in dedicated resources as well as a more expensive flexible resource that can satisfy both products while the resource investment decision is made under demand uncertainty pricing and resource allocation decisions are postponed to the time when demand curves are realized our analysis provides the structure of the firm s optimal resource investment strategy as a function of demand parameters and investment costs and shows that the flexible resource investment decision follows athreshold policy we also show that it can be optimal for the firm to invest in the flexible resource even when demand patterns are perfectly positively correlated the reason for flexible capacity investment in this case is financial rather than risk pooling on the other hand we show that it can be optimal for the firm not to invest in the flexible resource even when demand patterns are perfectly negatively correlated the flexible resource investment decision in this case depends on the profitability of the two products based on our analysis we provide principles on the firm s optimal resource investment decision

tourism demand modelling and forecasting a review of recent research abstract this paper reviews the published studies on tourism demand modelling and forecasting since 2000 one of the key findings of this review is that the methods used in analysing and forecasting the demand for tourism have been more diverse than those identified by other review articles in addition to the most popular time series and econometric models a number of new techniques have emerged in the literature however as far as the forecasting accuracy is concerned the study shows that there is no single model that consistently outperforms other models in all situations furthermore this study identifies some new research directions which include improving the forecasting accuracy through forecast combination integrating both qualitative and quantitative forecasting approaches tourism cycles and seasonality analysis events impact assessment and risk forecasting

potential pitfalls in determining multiple structural changes with an application to purchasing power parity we investigate the empirical performance of the bai and perron multiple structural change tests and show that the use of their critical values may cause severe size distortions in persistent series to correct these size distortions while maintaining a good power we implement the bai structural change test and extend it in two directions developing a new procedure to choose the number of breaks and a restricted version that specifically models breaks that imply mean or trend reversion using our new methodologies we reconcile the results of unit root tests with those of tests for structural change when testing for long run purchasing power parity

the mirage of fixed exchange rates this paper discusses the profound difficulties of maintaining fixed exchange rates in a world of expanding global capital markets contrary to popular wisdom industrialized country monetary authorities easily have the resources to defend exchange parities against virtually any private speculative attack but if their commitment to use those resources lacks credibility with markets the costs to the broader economy of defending an exchange rate peg can be very high the dynamic interplay between credibility and commitment is illustrated by the 1992 swedish and british crises and the 1994 95 mexican collapse we also discuss the small number of successful fixers

classifying exchange rate regimes deeds vs words abstract most of the empirical literature on exchange rate regimes uses the imf de jure classification based on the regime announced by the governments despite the recognized inconsistencies between reported and actual policies in many cases to address this problem we construct a de facto classification based on data on exchange rates and international reserves from all imf reporting countries over the period 1974 2000 which we believe provides a meaningful alternative for future empirical work on the topic the classification sheds new light on several stylized facts previously reported in the literature in particular we find that the de facto pegs have remained stable throughout the last decade although an increasing number of them shy away from an explicit commitment to a fixed regime hidden pegs we confirm the hollowing out hypothesis but show that it does not apply to countries with limited access to capital markets we also find that pure floats are associated with only relatively minor nominal exchange rate volatility and that the recent increase in the number of de jure floats goes hand in hand with an increase in the number of de facto dirty floats fear of floating

impact of some parameters on investments in oligopolistic electricity markets abstract it is seldom the case that one has the opportunity to compare investments as projected by a long term multi period model to what is eventually realized in practice further although sensitivity analysis is of common use in any optimization setting the impact of some parameters on strategic investments is not yet fully assessed in the context of the deregulated electricity industry starting with a benchmark model of the finnish industry we precisely explore the impact on equilibrium investments of varying such parameters as direct and cross price elasticities length of the planning horizon and the depreciation rate of capacity we run the model with different parameter values and compare the predicted equilibrium with what companies have actually done the model is a stochastic dynamic game involving three players and played over a ten year period our results show the depreciation rate and the planning horizon have a notable effect on investment levels whereas price elasticities seem to play a lesser role although the model s results are rather well aligned to total industry investments it diverges from individual levels this may be due to the cost parameter used and or to the open loop information structure adopted in the computations in any event these results should be of methodological and practical interest to scholars and practitioners involved in strategic investment in the electricity industry

a management orientated approach to combination forecasting of tourism demand abstract volatility exponential smoothing regression and naive 2 models are considered singly and in combination in terms of forecasting demand for international tourism these models generate accurate predictions of tourism flows but their prime utility is when combined with other models usually models are combined by means of purely statistical criteria we show that goal programming gp offers an alternative flexible approach to model combination gp offers planners a practical solution to tourism forecasting problems since the method is more adaptable than conventional minimisation of prediction error by permitting practitioners to prioritise a series of management related goals forecasters can focus on longer and short term goals minimising forecast under and over estimation and or concentrate on prediction errors in tourism flows at various times of the year

timing of investments in oligopoly under uncertainty a framework for numerical analysis abstract we present a modeling framework for the analysis of investments in an oligopoly market for a homogenous commodity the demand evolves stochastically and the firms carry out investment projects in order to adjust their production cost functions or production capacities the model is formulated as a discrete time state space game where the firms use feedback strategies the firms are assumed to move sequentially to ensure a unique markov perfect nash equilibrium once the equilibrium has been solved monte carlo simulation is used to form probability distributions for the firms cash flow patterns and accomplished investments such information can be used to value firms operating in an oligopoly market an example of the model is given in a duopoly market the example illustrates the trade off between the value of flexibility and economies of scale under competitive interaction

a new pricing scheme for a multi period pool based electricity auction a new pricing scheme is proposed for determining the social welfare distribution in a centralized pool based auction in the context of solving the unit commitment problems under competition a significant contribution of this paper over previous publications on this subject is the inclusion of the price responsive demand side for the multi period auctions with dynamic commitment characteristics the model allows every thermal unit and every consumer to obtain individual maximum profits and at the same time it gives the market coordinator an adequate tool for solving the ensuing technologically constrained unit commitment problem with fair market clearing the pricing model is in the form of a mixed linear programming model that minimizes the sum of the compensation costs the accompanying case study illustrates the approach proposed

the real time price elasticity of electricity the real time price elasticity of electricity contains important information on the demand response of consumers to the volatility of peak prices despite the importance empirical estimates of the real time elasticity are hardly available this paper provides a quantification of the real time relationship between total peak demand and spot market prices we find a low value for the real time price elasticity which may partly be explained from the fact that not all users observe the spot market price if we correct for this phenomenon we find the elasticity to be fairly low for consumers currently active in the spot market if this conclusion applies to all users this would imply a limited scope for government intervention in supply security issues

managing flexible capacity in a make to order environment flexible capacity has been shown to be very effective to hedge against forecast errors at the investment stage in a make to order environment this flexibility can also be used to hedge against variability in customer orders in the short term for that purpose production levels must be adjusted each period to match current demands to give priority to the higher margin product or to satisfy the closest customer however this will result in swings in production inducing larger order variability at upstream suppliers and significantly higher component inventory levels at the manufacturer through a stylized two plant two product capacitated manufacturing setting we show that the performance of the system depends heavily on the allocation mechanism used to assign products to the available capacity although managers would be inclined to give priority to higher margin products or to satisfy customers from their closest production site these practices lead to greater swings in production result in higher operational costs and may reduce profits

generation capacity expansion in a risky environment a stochastic equilibrium analysis we cast models of the generation capacity expansion type formally developed for the monopoly regime into equilibrium models better adapted for a competitive environment we focus on some of the risks faced today by investors in generation capacity and thus pose the problem as a stochastic equilibrium model we illustrate the approach on the problem of the incentive to invest agents can be risk neutral or risk averse we model risk aversion through the cvar of plants profit the cvar induces risk adjusted probabilities according to which investors value their plants the model is formulated as a complementarity problem including the cvar valuation of investments an illustration is provided on a small problem that captures several features of today s electricity world a choice often restricted to coal and gas units a peaky load curve because of wind penetration uncertain fuel prices and an evolving carbon market we assess the potential of the approach by comparing energy only and capacity market organizations in this risky environment our results can be summarized as follows a deterministic analysis overlooks some changes of capacity structure induced by risk whether in the capacity market or energy only organizations the risk neutral analysis also misses a shift towards less capital intensive technologies that may result from risk aversion last risk aversion also increases the shortage of capacity compared to the risk neutral view in the energy only market when the price cap is low this may have a dramatic impact on the bill to the final consumer the approach relies on mathematical programming techniques and can be extended to full size problems the results are illustrative and may deserve more investigation

how do the renminbi and other east asian currencies co move abstract this paper investigates the degree and the nature of exchange rate co movements between the renminbi and a set of seven east asian currencies by estimating markov switching models with regime dependent correlations and time varying transition probabilities these models have several advantages first exchange rate co movements can vary across different depreciation and appreciation regimes second the renminbi can act as a transition variable that provides information regarding how the exchange rates evolve over time after controlling for global effects and exchange market pressures the results yield robust evidence of the renminbi s rising role in east asia as a significant factor in currency fluctuations a key result is that regional currencies tend to overreact when the renminbi depreciates and underreact when it appreciates suggesting that east asian economies are not willing to allow their currency to substantially appreciate against the chinese currency

explaining the duration of exchange rate pegs abstract this paper is an empirical investigation of the duration of exchange rate pegs in 16 latin american countries and jamaica we identify factors that influence peg duration using logit analysis the real exchange rate and the level of international liquidity are significant determinants of the monthly likelihood of devaluation structural variables such as the openness of an economy and its geographical trade concentration and political variables such as changes in the executive also significantly affect the likelihood of a devaluation there is some evidence that the likelihood of a devaluation first rises and subsequently declines during the first year of a peg

technology selection and capacity investment under uncertainty abstract we analyze the problem of technology selection and capacity investment for electricity generation in a competitive environment under uncertainty adopting a nash cournot competition model we consider the marginal cost as the uncertain parameter although the results can be easily generalized to other sources of uncertainty such as a load curve in the model firms make three different decisions i the portfolio of technologies ii each technology s capacity and iii the technology s production level for every scenario the decisions related to the portfolio and capacity are ex ante and the production level is ex post to the realization of uncertainty we discuss open and closed loop models with the aim to understand the relationship between different technologies cost structures and the portfolio of generation technologies adopted by firms in equilibrium for a competitive setting to the best of our knowledge this paper is the first not only to explicitly discuss the relation between costs and generation portfolio but also to allow firms to choose a portfolio of technologies we show that portfolio diversification arises even with risk neutral firms and technologies with different cost expectations we also investigate conditions on the probability and cost under which different equilibria of the game arise

strategic technology choice and capacity investment under demand uncertainty this paper studies the impact of competition on a firm s choice of technology product flexible or product dedicated and capacity investment decisions specifically we model two firms competing with each other in two markets characterized by price dependent and uncertain demand the firms make three decisions in the following sequence choice of technology technology game capacity investment capacity game and production quantities production game the technology and capacity games occur while the demand curve is still uncertain and the production game is postponed until after the demand curve is revealed we develop best response functions for each firm in the technology game and compare how a monopolist and a duopolist respond to a given flexibility premium we show that the firms may respond to competition by adopting a technology which is the same as or different from what the competitor adopts we conclude that contrary to popular belief flexibility is not always the best response to competition flexible and dedicated technologies may coexist in equilibrium we demonstrate that as the difference between the two market sizes increases a duopolist is willing to pay less for flexible technology whereas the decision of a monopolist is not affected further we find that a firm that invests in flexibility benefits from a low correlation between demands for two products but the extent of this benefit differs depending on the competitor s technology choice our results indicate that higher demand substitution may or may not promote the adoption of flexibility under competition whereas it always facilitates the adoption of flexibility without competition finally we show that contrary to intuition as the competitor s cost of capacity increases the premium a flexible firm is willing to pay for flexibility decreases

an oligopolistic power market model with tradable no sub x permits models formulated as complementarity problems have been applied previously to assess the potential for market power in transmission constrained electricity markets here we use the complementarity approach to simulate the interaction of pollution permit markets with electricity markets considering forward contracts and the operating reserve market because some power producers are relatively large consumers of permits there could be interaction between market power in the permits and energy markets market power in the energy market is modeled using a cournot game while a conjectured price response model is used in the permits market an illustrative application is made to pennsylvania new jersey maryland interconnection pjm which we represent by a 14 node dc load flow model and the usepa ozone transport commission no sub x budget program the results show that forward contracts effectively mitigate market power in pjm energy market and both simulated solutions of perfect and cournot oligopoly competition are a good approximation to actual prices in 2000 except that the cournot model yielded higher peak prices the no sub x market influences the cournot energy market in several ways one is that cournot competition lowers the price of no sub x permits which in turn affects on low and high emission producers differently in general because pollution permits are an important cost high concentration in the market for such permits can exacerbate the effects of market power in energy markets

is certainty in carbon policy better than uncertainty abstract uncertainty in the strictness of carbon policy can have significant impacts on power generating firms capacity investment decisions and market outcomes we investigate the effects of this policy uncertainty on firms expected profits consumers surplus and firms cost for reaching a co 2 emission target our results derived from a game theoretical model and applied to realistic data indicate that uncertainty in the carbon policy induces more capacity investments in fossil and renewable technologies we find that it is optimal for firms with higher risk aversion to invest more in renewable technologies than their less risk averse rivals for policy makers our results suggest counter intuitively that retaining the flexibility to update emission targets whilst causing uncertainty in the carbon policy is beneficial this is because it provides higher expected consumer surplus and lower expected electricity price power generating firms are also better off under the policy uncertainty by having lower expected costs for reaching the emission goal and higher expected profits when firms risk aversions are low these results support the approach employed in european power markets to periodically update the co 2 emission cap depending on the prevailing circumstances rather than having certainty in the decrements of the caps over a longer time horizon our insights can help policy makers and firms to make better decisions by understanding how carbon policy uncertainty impacts the optimal capacity investments and how these investments might depend on the firms heterogeneity in risk aversion

a game theoretic model for generation expansion planning problem formulation and numerical comparisons this paper presents an application of noncooperative game theory to generation expansion planning gep in a competitive electricity industry the authors apply the cournot model of oligopoly behavior to formulate a gep model that may characterize expansion planning in a competitive regime particularly in pool dominated generation supply industries numerical experiments are conducted on a test system to analyze generation investment and market participation decisions of candidate expansion units that vary in costs and forced outage rates the numerical results point to 1 greater industry expansion and system reliability under cournot competition than under centralized expansion planning and 2 higher probabilistic measures of reliability from multi player expansion than from expansion by a traditional monopolist with an equivalent reserve margin requirement furthermore the authors summarize analytical results involving a simplified version of the gep game

structural breaks in international tourism demand are they caused by crises or disasters it is recognised that the tourism industry is vulnerable to some form of crises or disaster however despite the attention given to the nature and consequences of tourism crises and disasters there is a gap in the literature regarding the ex post detection of these events in this article we estimate both the number and date of structural breaks in international tourism arrival series for 25 countries and madeira island using the bai and perron 1998 structural break test we compare the date of tourism crises and disasters to the dating of these structural breaks we observe that tourism crises and disasters are largely consistent with the dates of breaks therefore this method allows us to solve a gap in the tourism industry related to the correct allocation of negative shocks in international tourism arrival demand to crisis or disaster phenomena

predicting tourism demand using fuzzy time series and hybrid grey theory abstract forecasting tourism demand in a capacity constrained service industry has been a major theme in this field this study presents two models that can be used to predict tourism demand both two models are based on artificial intelligent ai neural network theory was first applied to tourism demand forecasting in 2000 and empirically tested using the raw data from hong kong this work provides empirical evidence using grey theory and fuzzy time series which do not need large sample and long past time series these ai models are estimated for tourist arrivals to taiwan from hong kong united states and germany during the period of 1989 2000 gm 1 1 model achieves an accurate forecast when the sample data show a stable increase trend nevertheless the markov modification model can efficiently improved the gm 1 1 model when the sample data show significant fluctuations

international tourism and export instability export diversification has been suggested as a strategy for decreasing the level of export earnings instability which is experienced by many developing countries in recent years the international tourism sector has made an increasingly important contribution to the economies of many low income countries this article examines whether diversification into the non traditional tourism sector has succeeded in decreasing the instability of export earnings it was found that although tourism has the advantage of high growth rates and is a major source of foreign currency receipts earnings from international tourism did not bring about a significant decrease in the instability of export earnings of most of the developing and industrialised countries considered furthermore a net increase in the instability of earnings from tourism and merchandise exports occurred in a number of countries and may be a particular problem in small open developing economies

the forecasting of international expo tourism using quantitative and qualitative techniques this study predicts the number of visitors to an international tourism expo to be held in korea in 2012 an unprecedented event for the host city forecasting demand for such a mega event has received only limited attention in the literature unlike most studies forecasting international tourism demand forecasting expo demand involves using both quantitative forecasting models and qualitative technique because of data limitations combining quantitative techniques with willingness to visit wtv surveys predicts the expo demand at 8 9 million visitors in comparison using the delphi method experts predict expo demand at 6 8 million visitors for this study the delphi method provides more conservative estimates than estimates from combining quantitative techniques with wtv policy implications presented are directed toward expo planners and practitioners in terms of demand and supply side application of these results in the decision making process and future challenges surrounding demand forecasting

a comparison of three different approaches to tourist arrival forecasting abstract forecasting plays a major role in tourism planning the promotion of tourism projects involving substantial sums of money requires an estimate of future demand and market penetration the commitment to developing tourism would be much easier if it were possible to analyse current and past tourist traffic and predict the nature of changes in tourism demand these extrapolative approaches to forecasting require historical data this paper investigates the application of three time series forecasting techniques namely exponential smoothing univariate arima and elman s model of artificial neural networks ann to predict travel demand i e the number of arrivals from different countries to hong kong exponential smoothing and arima are two commonly used statistical time series forecasting techniques the third approach neural networks is an artificial intelligence technique derived from computer science according to the analysis presented in this paper neural networks seems to be the best method for forecasting visitor arrivals especially those series without obvious pattern

modelling us tourism demand for european destinations abstract an almost ideal demand system model is used to examine us demand for tourism in european destinations the model provides policy makers with useful information concerning the sensitivity of tourism demand to changes in relative prices exchange rates and expenditure the results show that price competitiveness is important for us demand for france italy and spain but is relatively unimportant for the uk france and italy are regarded as substitutes by us tourists as are spain and italy as us expenditure rises the market shares of spain and the uk decline while france and italy benefit the demand modelling and forecasting indicate that in the absence of a tourism price index the choice between alternative price indices does not have a significant effect on the results

back propagation learning in improving the accuracy of neural network based tourism demand forecasting abstract traditional tourism demand forecasting techniques concentrate predominantly on multivariate regression models and univariate time series models these single mathematical function based forecasting techniques although they have achieved a certain degree of success in tourism forecasting are unable to represent the relationship of demand for tourism as accurate as a multiprocessing node based feed forward neural network previous research has demonstrated that using a feed forward neural network can accomplish a higher forecasting accuracy than the regression and time series techniques for a set of linearly separable tourism demand data this research extends the applicability of neural networks in tourism demand forecasting by incorporating the back propagation learning process into a non linearly separable tourism demand data empirical results indicate that utilizing a back propagation neural network outperforms regression models time series models and feed forward neural networks in terms of forecasting accuracy

does the currency regime shape unhedged currency exposure abstract this paper examines how unhedged currency exposure of firms varies with changes in currency flexibility a sequence of four time periods with alternating high and low currency volatility in india provides a natural experiment in which changes in currency exposure of a panel of firms is measured and the moral hazard versus incomplete markets hypotheses tested we find that firms carried higher currency exposure in periods when the currency was less flexible our results support the moral hazard hypothesis that low currency flexibility encourages firms to hold unhedged exposure in response to implicit government guarantees

modelling the uncertainty in monthly international tourist arrivals to the maldives abstract the indian ocean tsunami of 26 december 2004 made clear the devastating short term impact in lost lives as well as the longer term impact in lost livelihoods and an uncertain future tourism was one of the more obvious non human casualties of this tragic natural phenomenon tourism is the principal industry in the maldives accounting for more than 30 of gdp and more than 60 of foreign exchange earnings as over 55 of government tax revenue arises from tourism related taxes and monthly government budget financing depends largely on international tourist arrivals the monitoring of daily weekly and monthly international tourist arrivals is essential for fiscal policy evaluation over 600 000 tourists visited the maldives in 2004 this paper examines the time series properties of monthly international tourist arrivals to the maldives from eight major tourist source countries namely italy germany uk japan france switzerland austria and the netherlands from 1 january 1994 to 31 december 2003 monthly international tourist arrivals and the associated uncertainty are estimated for the eight principal tourist source countries univariate and multivariate time series models of conditional volatility or uncertainty are estimated and tested the conditional correlations are estimated and examined to ascertain whether there is specialization diversification or segmentation in the international tourism demand shocks from the major tourism source countries to the maldives the estimated static conditional correlations for monthly international tourist arrivals as well as for the respective transformed series were found to be significantly different from zero but also relatively low this indicates that the government of the maldives and the major tour operators that organise tourist vacations have to emphasise their marketing efforts independently of each tourist source country

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

strategic gaming in electric power markets abstract this paper presents an overview of strategic gaming used for understanding the effective company and regulatory strategies for various market participants under alternative scenarios on pricing and institutional structures for electric power utilizing the england and wales e w power pool as a testbed we develop an aggregate model of payoffs for various stakeholders under specified demand and supply scenarios with strategic moves by these stakeholders as the key input to be evaluated the use of this type of model in a strategic gaming setting is then examined together with a discussion of experience in using this approach in evaluating a particular decision problem regarding network investment strategies in the e w power market

currency boards more than a quick fix currency boards more than a quick fix once a popular colonial monetary arrangement currency boards fell into disuse as countries gained political independence but recently currency boards have made a remarkable come back this essay takes a critical look at their performance are currency boards really a panacea for achieving low inflation and high growth or do they merely provide a quick fix allowing authorities to neglect fundamental reforms and thus fail to yield lasting benefits we have three major findings first the historical track record of currency boards is sterling with few instances of speculative attacks and virtually no involuntary exits countries that did exit from currency boards did so mainly for political rather than economic reasons and such exits were usually uneventful second modern currency boards have often been instituted to gain credibility following a period of high or hyperinflation and in this regard have been remarkably successful countries with currency boards experienced lower inflation and higher if more volatile gdp growth compared to both floating regimes and simple pegs the inflation difference reflects both a lower growth rate of money supply a discipline effect and a faster growth of money demand a credibility effect the gdp growth effect is significant but may simply reflect a rebound from depressed levels third case studies reveal the successful introduction of a currency board to be far from trivial requiring lengthy legal and institutional changes as well as a broad economic and social consensus for the implied commitment moreover there are thorny issues as yet untested regarding possible exits from a currency board thus currency boards do not provide easy solutions but if introduced in the right circumstances with some built in flexibility they can be an important tool for gaining credibility and achieving macroeconomic stabilization atish r ghosh anne marie and holger c wolf

price versus production postponement capacity and competition this article presents a comparative analysis of possible postponement strategies in a two stage decision model where firms make three decisions capacity investment production inventory quantity and price typically investments are made while the demand curve is uncertain the strategies differ in the timing of the operational decisions relative to the realization of uncertainty we show how competition uncertainty and the timing of operational decisions influence the strategic investment decision of the firm and its value in contrast to production postponement price postponement makes the investment and production inventory decisions relatively insensitive to uncertainty this suggests that managers can make optimal capacity decisions by deterministic reasoning if they have some price flexibility under price postponement additional postponement of production has relatively small incremental value therefore it may be worthwhile to consider flexible ex post pricing before production postponement reengineering while more postponement increases firm value it is counterintuitive that this also makes the optimal capacity decision more sensitive to uncertainty we highlight the different impact of more timely information which leads to higher investment and inventories and of reduced demand uncertainty which decreases investment and inventories our analysis suggests appropriateness conditions for simple make to stock and make to order strategies we also present technical sufficiency and uniqueness conditions under price postponement these results extend to oligopolistic and perfect competition for which pure equilibria are derived interestingly the relative value of operational postponement techniques seems to increase as the industry becomes more competitive

the response of small and medium size business customers to time of use tou electricity rates in israel this paper reports on the methodology data and results of the israeli time of use tou electricity pricing experiment in the industrial commercial sector we concentrate on the estimation of the demand functions for electricity under tou and the net welfare gains which result from applying tou rates to small and medium size business customers in israel this experiment which was preceded by a 15 month load research study to allow an optimal sample design was concluded in june 1992 the analysis yielded four major conclusions 1 the estimated gains of small and medium size customers in israel from tou rates are sufficient to justify investment in tou metering technology 2 there have been small but noticeable shifts of electricity from the peak to the mid peak if relevant and to the off peak periods during all seasons of the year and particularly during the winter 3 the structure and number of labour shifts during the day and weather are important factors in determining the response of business customers to the tou rates 4 price elasticities vary substantially over the seasons and across sic groups they do not vary with customer size

combining volatility and smoothing forecasts of uk demand for international tourism abstract univariate volatility models are applied to uk tourism demand to the country s most popular international destinations volatility is a concept borrowed from finance the fact that significant volatility models are found for ten of the twelve destinations examined shows that the volatility concept has relevance to tourism demand volatility models are able to quantify the impacts of positive and negative shocks on tourism demand the impacts of negative shocks vary in magnitude and duration according to the destination involved and the nature of the shock the forecasting capability of these models has never been assessed in the tourism field they are shown to generate highly accurate forecasts but become optimal when combined with forecasts obtained from exponential smoothing models two methods of combining individual forecasts are considered bias in individual volatility and smoothing models and in combinations of them is examined

linear complementarity models of nash cournot competition in bilateral and poolco power markets two cournot models of imperfect competition among electricity producers are formulated as mixed linear complementarity problems lcps and a simple example is presented to illustrate their application the two models simulate bilateral markets the models include a congestion pricing scheme for transmission but other transmission pricing approaches can also be represented in this framework the two models differ from each other in that one has no arbitrage between nodes of the network while in the other model arbitragers erase any noncost based differences in price the latter bilateral model turns out to be equivalent to a cournot model of a poolco the models differ from other cournot market models in that they include both of kirchhoff s laws via a dc approximation can include arbitragers possess unique solutions and are readily solved by efficient lcp algorithms the key assumption that permits their formulation as lcps is that each producer naively assumes that its output will not affect transmission prices

renewable generation expansion under different support schemes a stochastic equilibrium approach abstract following the deregulation of electricity markets a current challenge of policy makers is to facilitate the transition to a sustainable power system at the highest welfare for society in this paper we investigate the efficiency of different support schemes such as a feed in tariff a feed in premium and tradable green certificates with respect to incentivizing the required investments in renewable generation we consider a number of generation expansion problems and formulate stochastic equilibrium models that account for uncertainty in demand and renewable supply the risk aversion of investors and the competitiveness of the market the problem of the policy maker is formulated as a mathematical program with equilibrium constraints mpec and as a non linear complementarity problem ncp for the feed in schemes and the certificate market respectively our models are solved for a small illustrative example and a larger case study based on the danish power system the results confirm that the main driver for the optimal choice of renewable support scheme is the aversion of power producers towards price and volume risk while the competitiveness of the market rarely affects such choice

optimal return and rebate mechanism in a closed loop supply chain game abstract within a closed loop supply chain clsc framework we study several consumer return behaviors for the used products which are based on the product prices and rebates consumers evaluate the rebate they receive as well as the price of the new product before deciding whether to dump a return therefore the number of used products returned is examined under two types of rebates a fixed rebate and a variable rebate we search for the optimal rebate mechanism and find that the clsc profits are higher under an variable rebate policy this finding justifies the industry practices that employ a rebate mechanism based on both the value and the price of used item we offer two types of solution concepts to the clsc games open loop stackelberg solution and markov perfect stackelberg solution which are commonly employed in the dynamic games literature while we mainly employ markovian equilibrium we also allow firms to utilize open loop strategies so as to assess the impact of precommitment on the market outcomes therefore we offer a comprehensive analysis of all possible market equilibrium solutions under different strategic considerations and the commitment deliberations we show that under the fixed rebate regime open loop solution coincides with markov perfect solution furthermore we show how consumer return behavior impacts the dynamic nature of the game we find that the time frame is irrelevant if firms offer a fixed rebate in contrast the game will be fully dynamic when firms offer a variable rebate

flexible service capacity optimal investment and the impact of demand correlation we consider a firm that provides multiple services using both specialized and flexible capacity the problem is formulated as a two stage single period stochastic program the firm invests in capacity before the actual demand is known and optimally assigns capacity to customers when demand is realized sample applications include a car rental company s use of mid sized cars to satisfy unexpectedly high demand for compact cars and an airline s use of business class seats to satisfy economy class demand we obtain an analytical solution for a particular case when services may be upgraded by one class the simple form of the solution allows us to compare the optimal capacities explicitly with a solution that does not anticipate flexibility given that demand follows a multivariate normal distribution we analytically characterize the effects of increasing demand correlation on the optimal solution for the case with two customer classes the effects of demand correlation are intuitive increasing correlation induces a shift from flexible to dedicated capacity when there are three or more classes there are also adjustments to the resources not directly affected by the correlation change as correlation rises these changes follow an alternating pattern for example if the optimal capacity of one resource rises then the optimal capacity of the adjacent resource falls these results make precise conjectures based on numerical experiments that have existed in the literature for some time

the modern history of exchange rate arrangements a reinterpretation we develop a novel system of reclassifying historical exchange rate regimes one key difference between our study and previous classifications is that we employ monthly data on market determined parallel exchange rates going back to 1946 for 153 countries our approach differs from the imf official classification which we show to be only a little better than random it also differs radically from all previous attempts at historical reclassification our classification points to a rethinking of economic performance under alternative exchange rate regimes indeed the breakup of bretton woods had less impact on exchange rate regimes than is popularly believed

the eu regulation on cross border trade of electricity a two stage equilibrium model the regulation on cross border exchanges of electricity in the european union is meant to enhance the trade of electricity between member states by facilitating access to the network and improving the management of congestion at the interconnections this paper presents a computational model that embeds these two features the problem is cast in the form of a two stage equilibrium between regional regulators in the first stage they decide on the allocation of their regional network costs between generators and customers either they maximise their regional welfare non cooperatively nash equilibrium or they centralise the decision as a super regulator leading to a cooperative equilibrium in the second stage equilibrium the consequences of first stage s decisions are assessed by modelling the energy market as the result of imperfect competition equilibrium on competitive market coupled with regulated pricing on the domestic less competitive markets the rules that come out of the first stage game largely influence the final equilibrium we illustrate this on an extensive numerical example showing that the model behaves properly and identifying policy issues worth of further investigations c 2006 elsevier b v all rights reserved