exchange rate fundamentals forecasting and speculation bayesian models in black markets summary although speculative activity is central to black markets for currency the out of sample performance of structural models in those settings is unknown we substantially update the literature on empirical determinants of black market rates and evaluate the out of sample performance of linear models and non parametric bayesian treed gaussian process btgp models against the random walk benchmark fundamentals based models outperform the benchmark in out of sample prediction accuracy and trading rule profitability measures given future values of fundamentals in simulated real time trading exercises however the btgp achieves superior realized profitability accuracy and market timing while linear models do no better than a random walk copyright 2013 john wiley sons ltd

forecasting turning points abstract two state models of the commerce department s leading and coincident indexes appear to be misspecified cyclical peaks in these indexes are more rounded than are cyclical troughs further the variability of changes in the indexes is unusually high near cyclical troughs

the out of sample success of term structure models as exchange rate predictors a step beyond abstract a large literature suggests that standard exchange rate models cannot outperform a random walk forecast and that the forward rate is not an optimal predictor of the spot rate however there is evidence that the term structure of forward premia contains valuable information for forecasting future spot exchange rates and that exchange rate dynamics display nonlinearities this paper proposes a term structure forecasting model of exchange rates based on a regime switching vector equilibrium correction model which is novel in this context our model significantly outperforms both a random walk and to a lesser extent a linear term structure vector equilibrium correction model for four major dollar rates across a range of horizons

garch inadequacy for modelling exchange rates empirical evidence from latin america this article checks for the adequacy of using garch models in exchange rate series using the hinich portmanteau bicorrelation test we find that a garch formulation or any of its variants fails to capture the data generating process of the main latin american exchange rates our results highlight the potential of having misleading public policy when estimates are based in garch types of models this article also complements recent similar findings encountered in european and asian economies

testing for the long run relationship between nominal interest rates and inflation using cointegration techniques 1989 testing for the long run relationship between nominal interest rates and inflation using cointegration techniques applied economics vol 21 no 4 pp 439 447

testing for nonlinear dependence in daily foreign exchange rates the purpose of this article is to investigate whether daily changes in five major foreign exchange rates contain any nonlinearities although the data contain no linear correlation evidence indicates the presence of substantial nonlinearity in a multiplicative rather than additive form further examination reveals that a generalized autoregressive conditional heteroskedasticity model can explain a large part of the nonlinearities for all five exchange rates copyright 1989 by the university of chicago

regime switches in exchange rate volatility and uncovered interest parity abstract we use a regime switching model to examine how exchange rate volatility is related to the failure of uncovered interest parity main findings are as follows first exchange rate returns are strongly influenced by regime switches in the relationship between the returns and interest rate differentials second low yielding currencies appreciate less frequently but once it occurs their movements are faster than when they depreciate third depreciation of low yielding currencies and low volatility are mutually dependent on each other finally these three findings are more evident for shorter horizons the second and third results are consistent with a market participants view short term carry trades in a low volatility environment and their rapid unwinding substantially influence exchange rates we consider the effects of funding liquidity to explain these results

the behaviour of the real exchange rate evidence from regression quantiles abstract we test for mean reversion in real exchange rates using a recently developed unit root test for non normal processes based on quantile autoregression inference in semi parametric and non parametric settings the quantile regression approach allows us to directly capture the impact of different magnitudes of shocks that hit the real exchange rate conditional on its past history and can detect asymmetric dynamic adjustment of the real exchange rate towards its long run equilibrium it therefore provides a detailed mapping of the real exchange rate behaviour while being a robust alternative to previous unit root tests the latter is confirmed by a simulation analysis comparing the power of the alternative tests as concerns the real exchange rate our results suggest that large shocks tend to induce strong mean reverting tendencies in the exchange rate with half lives less than one year in the extreme quantiles mean reversion is faster when large shocks originate at points of large real exchange rate deviations from the long run equilibrium however in the absence of shocks no mean reversion is observed finally we report asymmetries in the dynamic adjustment of the rer

seasonality and habit persistence in a life cycle model of consumption summary the allocation of non durable consumers expenditure over the four quarters of the year reflects choices made by consumers implying a utility function exhibiting seasonality incorporating such a function the life cycle model fails to explain fully the observed dynamics in uk seasonally unadjusted data seasonal habit persistence effects are introduced and found to be significant although this generalized model stands up well to testing in a univariate context it fails to exclude a predictive role for lagged income changes seasonality is inherent in many economic time series but it is rarely considered to be an issue of interest in econometric model building rather than explicitly investigating the economics underlying seasonal variation modellers typically try to remove its effects either by using seasonally adjusted data or by including seasonal intercept dummies in their equations the former practice is criticized by wallis 1974 who shows that it may distort the relationship between variab le the latter assumes that the function simply shifts up or down with the season however except for degrees of freedom considerations there seems to be no a priori reason why the same parameters or functional form should apply at different times of the year indeed gersovitz and mackinnon 1978 argue that realistic utility cost or production functions result in models in which seasonal influences cannot be separated out in a simple fashion in the present study seasonality is treated as one of the features to be explained within the economic model thus in the particular application to non durable consumers expenditure it is argued that the allocation of expenditure over the year reflects seasonal tastes and hence seasonality in the underlying utility function the implications of this are explicitly investigated the framework for our analysis is the influential paper by hall 1978 who derives a randomwalk model for real non durable consumers expenditure when rational expectations are combined with a life cycle theory of consumption hall does not investigate seasonality at all and employs seasonally adjusted values in his empirical analysis although subsequent us authors have examined many aspects of this theory the type of data used has rarely been

optimal forecasts from markov switching models we derive forecasts for markov switching models that are optimal in the mean square forecast error msfe sense by means of weighting observations we provide analytic expressions of the weights conditional on the markov states and conditional on state probabilities this allows us to study the effect of uncertainty around states on forecasts it emerges that even in large samples forecasting performance increases substantially when the construction of optimal weights takes uncertainty around states into account performance of the optimal weights is shown through simulations and an application to u s gnp where using optimal weights leads to significant reductions in msfe supplementary materials for this article are available online

can markov switching models replicate chartist profits in the foreign exchange market abstract in this paper we show that the markov switching model is a relevant statistical alternative to the classical martingale model for exchange rates by extending the standard markov switching model we decisively reject the martingale model moreover the model generates autocorrelations and linear structures in line with what is observed in reality subsequently we test whether this model can explain chartist profits we find that the extended markov switching model is able to explain the profitability of a simple ma 30 rule finally we decompose the profitability of the ma 30 rule into a linear and nonlinear part we find that although the implied linear structure of the markov model explains a substantial part of the profitability part of the profits of the ma 30 rule can be attributed to the specific nonlinearities implicit in the markov model

another look at swedish business cycles 1861 1988 this paper considers nine long swedish macroeconomic time series whose business cycle properties were discussed by englund persson and svensson 1992 using frequency domain techniques it is found by testing that all but two of the logarithmed and differenced series are nonlinear the observed nonlinearity is characterized by star models the statistical and dynamic properties of the estimated star models are investigated using among other things parametrically estimated local or sliced spectra cyclical variation at business cycle frequencies does not seem to be constant over time for all series and it is difficult to find a swedish business cycle only two series may be regarded as having genuinely asymmetric cyclical variation standard granger noncausality tests are adapted to the nonlinear star case and the null hypothesis of noncausality is tested for pairs of series the results point at strong temporal interactions between series they also indicate that the assumption of functional form linear or star strongly affects the outcome of these pairwise tests

a floor and ceiling model of us output abstract building on previous nonlinear time series models we further examine the form of nonlinearity in us output we develop a model of us output that allows for floor and ceiling effects to alter the dynamics of output growth the model estimated on post korean war quarterly data displays features similar to nonlinear trade cycle models of the 1940s and 1950s thus as predicted by many of the earlier theoretical models our empirical results suggest that the turning points of the business cycle provide new initial conditions for the ensuing growth process we also find important asymmetries in the responses of output to positive and negative shocks this history and shock dependence property is not present in linear or approximately linear models of the type that arise in the standard implementations of real business cycle theory

a note on the performance of foreign exchange forecasters in a portfolio framework abstract this note investigates the ability of 22 currency forecasters to predict movements in three major exchange rates in particular it examines the profitability of portfolios of forward market positions constructed on the basis of the predictions of each forecaster the key findings of the paper are that just one panel member proves significantly profitable to follow and that investing on the basis of the naive alternative prediction of no change produces high though volatile profits we conclude that the majority of currency analysts have little ability to predict the future

monetary fundamentals and exchange rate dynamics under different nominal regimes we investigate the dynamic relationship between the us dollar exchange rate and its fundamentals across different exchange rate regimes using data going back to the late 1800s or early 1900s for six industrialized countries for these countries there is evidence of a long run relation between the nominal exchange rate and monetary fundamentals consistent with conventional theories of exchange rate determination we employ a markov switching vector equilibrium correction model that allows for regime shifts in the entire set of parameters and the variance covariance matrix our results suggest that the relative importance of exchange rates and fundamentals in restoring the long run equilibrium level implied by the exchange rate monetary fundamentals model varies significantly over time and is affected by the nominal exchange rate regime in operation

can the markov switching model forecast exchange rates abstract a markov swirching model is fit for 18 exchange rates at quarterly frequencies the model fits well in sample for many exchange rates by the mean squared error criterion the markov model does not generate superior forecasts to a random walk or the forward rate there appears to ne some evidence that the forecasts of the markov model are superior at predicting the direction of change of the exchange rate

forecasting and combining competing models of exchange rate determination this article investigates the out of sample forecast performance of a set of competing models of exchange rate determination we compare standard linear models with models that characterize the relationship between exchange rate and the underlying fundamentals by nonlinear dynamics linear models tend to outperform at short forecast horizons especially when deviations from long term equilibrium are small in contrast nonlinear models with more elaborate mean reverting components dominate at longer horizons especially when deviations from long term equilibrium are large the results also suggest that combining different forecasting procedures generally produces more accurate forecasts than can be attained from a single model

business cycle non linearities in uk consumption and production this paper develops non linear smooth transition autoregressive star models with two additive smooth transition components to capture the business cycle characteristics of uk real consumers expenditure and industrial production the results indicate consumption has essentially two business cycle regimes recession and expansion industrial production however is characterized by the three regimes of recession normal growth and high growth the transitions describing recovery from recession are very similar for the two variables stochastic simulations illustrate the dynamic responses of these models and emphasize that they are locally linear our results also indicate that the two transition star models have some forecast advantages over other specifications for periods of contraction copyright 2000 john wiley sons ltd

a nonlinear approach to us gnp a univariate nonlinear model is estimated for us gnp that on many criteria outperforms standard linear models the estimated model is of the threshold autoregressive type and contains evidence of asymmetric effects of shocks over the business cycle in particular the nonlinear model suggests that the post 1945 us economy is significantly more stable than the pre 1945 us economy

fundamentals and exchange rate prediction revisited this paper measures latent fundamental exchange rates with independent component based rates constructed from a cross section of exchange rates and then uses their deviations from exchange rates to forecast empirical results indicate that the independent component based model and its taylor rule and purchasing power parity augmented models are superior to the random walk in predicting exchange rates these results are robust to several scenarios and are likely to be observed if the us sources and the recursive scheme are applied our results reveal that information regarding the third moment of exchange rate changes is helpful to explain exchange rate movements

energy and reserve market designs with explicit consideration to lost opportunity costs the primary goal of this work is to investigate the basic energy and reserve dispatch optimization cooptimization in the setting of a pool based market of particular interest is the modeling of lost opportunity cost introduced by reserve allocation the authors derive the marginal costs of energy and reserves under a variety of market designs they also analyze existence algorithm and multiplicity of optimal solutions the results of this study are used to support the reserve market design and implementation in iso new england control area

the impact of oil shocks on exchange rates a markov switching approach abstract this paper uses markov switching models to investigate the impact of oil shocks on real exchange rates for a sample of oil exporting and oil importing countries this is an important topic to study because an oil shock can affect a country s terms of trade which can affect its competitiveness we detect significant exchange rate appreciation pressures in oil exporting economies after oil demand shocks we find limited evidence that oil supply shocks affect exchange rates global economic demand shocks affect exchange rates in both oil exporting and importing countries though there is no systematic pattern of appreciating and depreciating real exchange rates the results lend support to the presence of regime switching for the effects of oil shocks on real exchange rates

is there a connection between monetary unification and real economic integration evidence from regime switching stationarity tests abstract we investigate the extent of real convergence among g7 economies in terms of long run real interest parity a novel approach is applied where unit root tests of real interest differentials are embedded within a markov regime switching framework whereas standard univariate unit root tests provide little support for parity we find real convergence is present after allowing for regime switches in real interest misalignments however differentials across members of the euro zone are likely to exhibit greater persistence despite nominal convergence it is non sequitur to infer from monetary unification that nominal convergence is necessarily conducive to real interest realignments or preventive of misalignments

the inadequacy of linear autoregressive model for real exchange rates empirical evidence from asian economies utilizing the formal linearity test of luukkonen saikkonen and terasvirta biometrika 75 491 499 1998 as diagnostic tool the empirical finding suggests that the linear autoregressive ar model is inadequate in describing the real exchange rates behaviour of 11 asian economies it is noted that the conventional battery of diagnostic tests is capable of identifying the inadequacy of the linear model in only three of these series moreover the linearity nature of this behaviour has been formally rejected in favour of the non linear smooth transition autoregressive star model the finding of non linearity in the data generating process of these real exchange rates warrants that the use of linear framework in empirical modelling and statistical testing procedures in the field of exchange rates may lead to an inappropriate policy conclusions

bayesian analysis of nonlinear exchange rate dynamics and the purchasing power parity persistence puzzle abstract we investigate the persistence of real exchange rates using bayesian methods first an algorithm for bayesian estimation of nonlinear threshold models is developed unlike standard grid based estimation the bayesian approach fully captures joint parameter uncertainty and uncertainty about complicated functions of the parameters such as the half life measure of persistence based on generalized impulse response functions second model comparison is conducted via marginal likelihoods which reflect the relative abilities of models to predict the data given prior beliefs about model parameters this comparison is conducted for a range of linear and nonlinear models and provides a direct evaluation of the importance of nonlinear dynamics in modeling exchange rates the marginal likelihoods also imply weights for a model averaged measure of persistence the empirical results for real exchange rate data from the g7 countries suggest general support for nonlinearity with the strength of the evidence depending on which country pair is being considered however the model averaged estimates of half lives are almost always as small or smaller than for the linear models alone suggesting that the purchasing power parity persistence puzzle is less of a puzzle than previously thought

regime switching analysis for the impacts of exchange rate volatility on corporate values a taiwanese case a second moment regime switching model with not only a switching intercept and a switching slope but also a switching error variance is applied to examine the impacts of exchange rate volatility erv on corporate values cv for the 10 industries investigated in taiwan two different regimes categorized as strong impact and weak impact are identified the dominant power varies from one industry to another the wald statistics for the null of equality are ambiguous which show that if the markov switching ms model is plausible then the erv might not be one major factor but another factor that could switch the cv of taiwan s industries for the model s volatility influence the data of 8 out of 10 industries are shown to fit a two state model when the volatility is stimulated a two state first order ms model is appropriate for the goodness of fit analysis at the 10 significant level

modeling non linearities in real effective exchange rates abstract the aim of this paper is to test for and model non linearities in the real effective exchange rates of 10 major industrial countries the g 10 to exploit non linear dependencies in exchange rates we apply the star smooth transition autoregressive family of models these non linear models imply the existence of two distinct regimes in exchange rates with potentially different dynamic properties but the transition between the regimes is smooth tests reject linearity for eight exchange rates the real exchange rate process is cyclical in both regimes for almost all countries and there appears to be some evidence of asymmetry star models outperform hamilton s markov regime switching model in an out of sample forecasting contest

correct cointegration tests of the long run relationship between nominal interest and inflation the fisher 1930 hypothesis suggests that a long run equilibrium relationship exists between the non stationary series nominal interest and expected inflation testing such a cointegrating relationship is complicated by the presence of the unobserved ex antereal rate of interest in residuals from the cointegrating regression assumptions concerning the stochastic properties of the expected real rate of interest are examined and two proxies for the ex antereal rate are employed in multivariate cointegration tests of the fisher hypothesis

inflation uncertainty and interest rates is the fisher relation universal this paper tests the validity of the fisher hypothesis which establishes a positive relation between interest rates and expected inflation for the g7 countries and 45 developing economies for this purpose we estimate a version of the garch specification of the hypothesis for all countries included in the sample we also test the augmented fisher relation by including the inflation uncertainty in the equation the simple fisher relation holds in all g7 countries but in only 23 developing countries there is a positive and statistically significant relationship between interest rates and inflation uncertainty for six of the g7 and 18 of the developing countries and this relationship is negative for seven developing countries

arbitrage behaviour in the exchange rates of taiwan and japan applying the smooth transition vector error correction model with gjr garch and spillover volatility this study utilizes a smooth transition vector error correction model stvecm with glosten jagannathan runkle generalized autoregressive conditional heteroscedasticity gjr garch and spillover volatility to investigate the changes in short run return dynamics when a deviation from the comovement equilibrium between the prices of new taiwan dollar ntd and japan yen jpy exists empirical results demonstrated that both exchange rates have a nonlinear relationship with the comovement equilibrium which was captured by the logistic smooth transition vector error correction model with gjr garch and spillover volatility lstvecm gjr garch sv both exchange rates will quickly reverse to equilibrium when there are large deviations between the two exchange rates implying that information traders obtain profit in two markets and then both exchange rates continue to deviate from equilibrium when small deviations exist from comovement owing to noise trader to expand mispricing moreover small and large devi

multivariate nearest neighbour forecasts of ems exchange rates exchange rate modelling has been a persistent puzzle for international economists forecasts from popular models for the exchange rate generally fail to improve upon the random walk out of sample while a multivariate nonparametric approach provides useful information about exchange rates the model produces forecasts superior to the random walk for only one of the three ems currencies examined using a statistic developed in mizrach 1991 i find that the forecast improvement a 4 5 percent reduction in mean squared error for the lira in daily returns is not statistically significant a cross validation exercise suggests that the improvement is also not robust

does purchasing power parity hold sometimes regime switching in real exchange rates standard unit root tests are not very powerful in drawing conclusions regarding the validity of purchasing power parity ppp rather than asking whether ppp holds throughout the whole sample period we examine in this study if ppp holds sometimes by employing hamilton type 1989 markov regime switching models when at least one of multiple regimes is stationary ppp holds locally within the regime there are indeed various reasons that we should expect that the persistence of real exchange rates changes over time employing five real exchange rates spanning more than 100 years we find herein strong evidence that the strength of ppp varies during the sample periods and that there exist stationary regimes in which ppp holds throughout the article we also make comparisons to previous markov regime switching estimation results by kanas 2006 on the same data series the new markov switching model selection criterion of smith et al 2006 which is devised especially for discriminating markov regime s

index arbitrage with heterogeneous investors a smooth transition error correction analysis abstract the traditional index arbitrage model assumes a constant threshold mispricing between the futures and cash prices for all investors allowing for heterogeneity in investors transaction costs objectives and capital constraints we model the intraday mispricing of djia futures as a smooth transition autoregressive star process with the speed of adjustment toward equilibrium varying directly with the mispricing we show that the observed mean reversion in mispricing changes is induced by heterogeneous arbitrageurs instead of a statistical illusion infrequent trading of index portfolio stocks we further use a star error correction model to describe the nonlinear dynamics between the djia futures and index this model describes not only which market is more informationally efficient than the other but also the legging process the nonsimultaneous establishing of cash and futures positions

the fisher hypothesis examining the canadian experience in this study the validity of the fisher hypothesis is investigated for canada under both fixed and floating exchange rate regimes an empirically distinction is drawn between the weak and strong form of the fisher hypothesis the johansen juselius jj multivariate cointegration methodology is applied to test the weak form while the phillips hansen fully modified ordinary least squares fm ols technique is used for the strong form hypothesis the caninical correlations jj methodology has the smallest bias and dispersion and hence is the best among the alternative testing procedures available the fm ols procedure on the other hand allows for an unrestricted cointegration test correcting for both endogeneity in the data and asymptotic bias in the coefficient estimates the fisher hypothesis is soundly rejected

business cycles for g7 and european countries this article proposes classical business cycle turning points for the g7 and a number of european countries based on industrial production this enables the authors to examine the international nature of cyclical movements free from arbitrary assumptions about the trend in particular they show that cyclical assymetry is common with slopes during declines being generally larger in magnitude than during expansions a binary measure of association for expansion and contradiction regimes indicates a core group of european countries related to each other and apparently linked to the united states and japan through germany copyright 1997 by university of chicago press

nominal exchange rate prediction evidence from a nonlinear approach abstract in this paper we employ a nonlinear error correction model to explain the dynamics of exchange rates starting from a stylized monetary model of exchange rates we found that the nonlinear error correction model is superior to a range of alternative forecasts including random walks and the conventional time varying parameters model even when forecast horizons are short

determinants of exchange rate regime switching abstract exchange rate policy in many emerging markets shifts between a stronger and weaker commitment to peg this observation raises the following questions which we address in our paper does intervention policy exhibit switching and if so what causes policy to shift the theoretical literature increasingly points to the critical importance of financial fundamentals chinn m d kletzer k m 2001 imperfect information domestic regulation and financial crises in glick r moreno r spiegel m eds financial crises in emerging markets cambridge university press cambridge pp 196 237 dooley 2000 chang r velasco a 2005 monetary policy and the currency denomination of debt a tale of two equilibria kennedy school of government working paper series harvard university cambridge massachusetts among others direct empirical validation to date is limited however although relevant intuitions come from duration and indicators literature kaminsky g l reinhart c m vegh c a 2004 when it rains it pours procyclical capital flows and macroeconomic policies nber macroeconomics annual national bureau of economic research inc domac i peria m s 2003 banking crises and exchange rate regimes is there a link journal of international economics 61 41 72 tudela m 2004 explaining currency crises a duration model approach journal of international money and finance 23 799 816 we use a panel of quarterly data starting 1985 through 2004 for 14 countries mainly from latin america and east asia and adopt a novel two step empirical strategy first we apply regime switching methods to two simple indices of central bank exchange rate policy this generates likelihoods of high and low intervention in the second step we establish the variables that determine these probabilities we find strong evidence that the economy s balance sheet and economic performance determine the likelihood of switching in the exchange rate regime specifically an increase in reserve currency debt relative to assets raises potential capital losses from devaluation and reduces the probability of switching to a low intervention regime as does a decline in growth the purpose here is not to present an alternative regime classification levy yeyati e sturzenegger s 2005 classifying exchange rate regimes deeds vs words european economic review 49 1603 1635 reinhart c m rogoff k 2004 the modern history of exchange rate arrangements a reinterpretation quarterly journal of economics available at http www puaf umd edu faculty papers reinhart papers htm but to establish the relative importance of different constraints on the central bank which has policy implications the empirical approach and specification is flexible to whether intervention is discrete or gradual and to whether or not the central bank sterilizes

exchange rate predictability the main goal of this article is to provide an answer to the question does anything forecast exchange rates and if so which variables it is well known that exchange rate fluctuations are very difficult to predict using economic models and that a random walk forecasts exchange rates better than any economic model the meese and rogoff puzzle however the recent literature has identified a series of fundamentals methodologies that claim to have resolved the puzzle this article provides a critical review of the recent literature on exchange rate forecasting and illustrates the new methodologies and fundamentals that have been recently proposed in an up to date thorough empirical analysis overall our analysis of the literature and the data suggests that the answer to the question are exchange rates predictable is it depends on the choice of predictor forecast horizon sample period model and forecast evaluation method predictability is most apparent when one or more of the following hold the predictors are taylor rule or net foreign assets the model is linear and a small number of parameters are estimated the toughest benchmark is the random walk without drift

on the short term predictability of exchange rates a bvar time varying parameters approach abstract in this paper we propose a bayesian vector autoregressive model with time varying parameters bvar tvp to examine the short term predictability of exchange rates an important contribution of the paper is the application of the bvar tvp model for the first time to daily data using information from financial markets another contribution is the production of forecasts in real time at the very short horizon of one trading day ahead typically used by traders and investors in financial markets we employ financial criteria and recently developed statistical tests to assess the exchange rate predictability we find that the bvar tvp model outperforms the random walk for all exchange rates these forecast gains are due primarily to the time variation of coefficients and secondly to information from other financial markets it is shown that international investors could have made statistically significant excess profits if they had followed an inter day trading strategy based on the buy sell signals generated by the model s one day ahead exchange rate forecasts even after allowing for transaction costs and risk factors

error correction modelling and dynamic specifications as a conduit to outperforming the random walk in exchange rate forecasting the proposition that dynamic exchange rate models can outperform the random walk in out of sample forecasting in the sense that they produce lower mean square errors is examined and disputed by using several dynamic versions of three macroeconomic exchange rate models it is demonstrated that dynamic specifications outperform the corresponding static models but improvement in the forecasting power may not be sufficient for the dynamic models to perform better than the random walk the results are explained by suggesting that any dynamic specification or transformation of the static model leads to the introduction of a lagged dependent variable which in effect is a random walk component the analysis leads to the conclusion that it is implausible to aim at beating the random walk by augmenting a static model with a random walk component

characterizing nonlinearities in business cycles using smooth transition autoregressive models during the past few years investigators have found evidence indicating that various time series representing business cycles such as production and unemployment may be nonlinear in this paper it is assumed that if the time series is nonlinear then it can be adequately described by a smooth transition autoregressive star model the paper describes the application of these models to quarterly logarithmic production indices for 13 countries and europe tests reject linearity for most of these series and estimated star models indicate that the nonlinearity is needed mainly to describe the responses of production to large negative shocks such as oil price shocks

can markov switching models predict excess foreign exchange returns abstract this paper merges the literature on technical trading rules with the literature on markov switching to develop economically useful trading rules the markov models out of sample excess returns modestly exceed those of standard technical rules and are profitable over the most recent subsample a portfolio of markov and standard technical rules outperforms either set individually on a risk adjusted basis the markov rules high excess returns contrast with mixed performance on statistical tests of forecast accuracy there is no clear source for the trends but permitting the mean to depend on higher moments of the exchange rate distribution modestly increases returns

inventories and the three phases of the business cycle this article demonstrates that recessions typically are followed by high growth recovery phases that push output back to its prerecession level thus postwar fluctuations in real output in the united states have consisted of three sequential phases rather than two contractions high growth recoveries and moderate growth periods following recoveries data from before world war ii also exhibit this pattern for the postwar period the three phase pattern is shown to reflect swings in inventory investment and suggests that output fluctuations have an important transitory component the evidence in this article supports delong and summers s output gaps view and friedman s plucking model view of fluctuations

the monetary model strikes back evidence from the world abstract we revisit the dramatic failure of monetary models in explaining exchange rate movements using the information content from 98 countries we find strong evidence for cointegration between nominal exchange rates and monetary fundamentals we also find fundamentals based models very successful in beating a random walk in out of sample prediction

a markov regime switching approach for hedging energy commodities abstract this paper estimates constant and dynamic hedge ratios in the new york mercantile exchange oil futures markets and examines their hedging performance we also introduce a markov regime switching vector error correction model with garch error structure this specification links the concept of disequilibrium with that of uncertainty as measured by the conditional second moments across high and low volatility regimes overall in and out of sample tests indicate that state dependent hedge ratios are able to provide significant reduction in portfolio risk

regime switching models for the mexican peso abstract the mexican peso has shown long periods of tranquility that suddenly give rise to short volatile periods we characterize this exchange rate process by estimating a series of regime switching regressions and comparing the different specifications as pioneered by meese and rogoff j int econ 14 1983 3 we find evidence for two clearly identified regimes one with an appreciating trend and low volatility and another with large depreciations and high volatility we use the estimated model to explain the bias implied in the peso forward market finally we show that duration dependence or fundamentally driven transition probabilities do not improve the model s forecasting power

why is it so difficult to outperform the random walk an application of the meese rogoff puzzle to stock prices some economists suggest that the meese rogoff puzzle is equally applicable to the stock market in the sense that no model of stock prices can outperform the random walk in out of sample forecasting we argue that this is not a puzzle and that we should expect nothing but this result if forecasting accuracy is measured by the root mean square error rmse and similar metrics that take into account the magnitude of the forecasting error only we demonstrate by using two models for dividend paying and nondividend paying stocks that as price volatility rises the rmse of the random walk rises but the rmse of the model rises even more rapidly making it unlikely for the model to outperform the random walk

does exchange rate management affect the causality between exchange rates and oil prices evidence from oil exporting countries abstract the bi directional causality between exchange rates and oil prices of oil exporting countries has been widely investigated since the oil crisis in the 1970s the classical theoretical framework assumes that countries adopt free floating exchange rate arrangements and empirical studies seldom consider exchange rate restrictions when investigating oil exporters that always manage exchange rates to address these limitations this study designs a comparative analysis for three groups of oil exporting economies that adopt different foreign exchange rate policies the analysis aims to examine whether and how intervention behavior may distort the causal relationship between exchange rates and oil prices we first show the non linear causality relationships for countries with free floating exchange rate arrangements in both long and short terms then we establish how the managed floating policy can eliminate the impact of oil prices on exchange rates in bull markets but fail to prevent exchange rate depreciation in bear markets in bear markets a negative non linear feedback from exchange rates to oil prices prevails in these countries however contrary to common wisdom the strict soft pegged exchange rate arrangement cannot remove all the linkages between exchange rates and oil prices a small but significant response of exchange rates toward oil prices is detected for kuwait and saudi arabia a similar effect for kazakhstan is only found in bear markets in addition this study re investigates the relationship between exchange rate and the domestic currency price of oil the conclusions are similar except that the relationship is weakened in free floating countries but strengthened in managed floating countries during the bear market periods

real exchange rates and switching regimes abstract we suggest that the real exchange rate between the major currencies in the post bretton woods period can be described by a stationary 2 state markov switching ar 1 model based on the forecast performance we find that this model outperforms two competing models where the real exchange rate is nonstationary we also find that the existence of different regimes as in the markov switching model is consistent with the common finding of unit roots in real exchange rates

causes of nonlinearities in low order models of the real exchange rate abstract this paper investigates the extent to which modern dsge models which feature local currency pricing home bias nontraded goods and incomplete markets can generate nonlinear real exchange rate dynamics that are consistent with those found in the time series literature using data from the current floating period our key findings are as follows first if the true model can be appropriately characterized as a set of linear equations then linearity tests that utilize univariate autoregressions of the real exchange rate suffer from an omitted variables problem which leads them to overestimate the true incidence of nonlinearity consequently studies that fail to control for this problem may spuriously find evidence of nonlinearities in the data despite the fact that the data generating process may be linear second we propose a strategy that can largely eliminate this distortion finally we find that dsge models solved using higher order approximations are capable of generating true structural nonlinearities in real exchange rates both asymptotically and in short samples

long swings in exchange rates are they really in the data several authors have reported evidence of long swings in u s dollar exchange rates by rejecting the random walk in favor of a markov regime switching model we show that this evidence is not robust to an extension of the sample period one should however not conclude that long swings are thus absent because the tests may have insufficient power a possible reason for this is the low data frequency because existing tests are based on quarterly data and we find that the power can be increased substantially by raising the data frequency indeed weekly data reject the random walk so we conclude that long swings are in the data this conclusion is supported by significant superiority of regime switching over random walk out of sample forecasts of the direction of change

a nonparametric measure of convergence towards purchasing power parity it has been claimed that the deviations from purchasing power parity are highly persistent and have quite long half lives under the assumption of a linear adjustment of real exchange rates however inspired by trade cost models nonlinear adjustment has been widely employed in recent empirical studies this paper proposes a simple nonparametric procedure for evaluating the speed of adjustment in the presence of nonlinearity using the largest lyapunov exponent of the time series the empirical result suggests that the speed of convergence to a long run price level is indeed faster than what was found in previous studies with linear restrictions copyright 2006 john wiley sons ltd

spot pricing when lagrange multipliers are not unique classical spot pricing theory is based on multipliers of the primal problem of an optimal market dispatch i e the solution of the dual problem however the dual problem of market dispatch may yield multiple solutions in these circumstances spot pricing or any standard pricing practice based on multipliers cannot generate a unique clearing price although such situations are rare they can cause significant uncertainties and complexities in market dispatch in practice this situation is solved through simple empirical methods which may cause additional operations or biased allocation based on a strict extension of the principles of spot pricing and surplus allocation we propose a new pricing methodology that can yield unique impartial and robust solution the new method has been analyzed and compared with other pricing approaches in accordance with spot pricing theory case studies support the results of the theoretical analysis and further demonstrate that the method performs effectively in both uniform pricing and nodal pricing markets

deviations from purchasing power parity under different exchange rate regimes do they revert and if so how abstract we propose an empirical model for deviations from long run purchasing power parity ppp that simultaneously accounts for three key features i adjustment toward ppp may occur via nominal exchange rates and relative prices at different speeds ii different exchange rate regimes may generate regime shifts in the structural dynamics of ppp deviations iii nonlinear reversion toward ppp in response to shocks this empirical framework encompasses and synthesizes much previous empirical research using over a century of data for the g5 countries we provide evidence that long run ppp holds the relative importance of nominal exchange rates and prices in restoring ppp varies over time and across different exchange rate regimes and reversion to ppp occurs nonlinearly at a speed that is fairly consistent with the nominal rigidities suggested by conventional open economy models

testing for threshold cointegration and error correction evidence in the petroleum futures market this article examines the existence of threshold cointegration between futures and spot prices for the brent petroleum market we then estimate the asymmetric error correction specification utilizing the momentum threshold autoregressive consistent m tar c approach particularly proposed by enders and siklos 2001 we find that for the daily data over 2 january 2001 through 15 october 2006 the petroleum futures prices are cointegrated with the spot prices this effectively confirms the expectations hypothesis and that asymmetric adjustments for the futures basis towards the long run value display a negative basis from the long run equilibrium level more persistently than a positive basis from that level the empirical result suggests that short run arbitrages manipulating buy long sell short futures contracts be profitable when a positive basis is weakening a negative basis is strengthening

nonlinear mean reversion in real exchange rates abstract this paper modifies a unit root test procedure in the nonlinear star framework recently advanced by kapetanios et al journal of econometrics 2001 in press using a detrending methodology suggested by schmidt and phillips oxford bulletin of economics and statistics 54 1992 257 we derive an alternative unit root test and apply it to the bilateral real exchange rates for the g7 countries we find that the use of our test is able to uncover evidence of nonlinear mean reversion for most cases whereas the standard dickey fuller test based on the linear model cannot

banking on currency forecasts how predictable is change in money abstract the paper examines the predictive performance of four structural exchange rate models using both parametric and nonparametric techniques error correction versions of the models are fit so that plausible long run elasticities can be imposed on the fundamental variables of each model a variety of model evaluation statistics are reported our findings confirm that fundamental exchange rate models forecast no better than a random walk model for short term prediction horizons for longer horizons error correction terms can explain exchange rate movements significantly better than a no change forecast for a subset of the models and currencies we consider

congestion surplus minimization pricing solutions when lagrange multipliers are not unique this paper proposes a comprehensive solution methodology for the pricing difficulty when lagrange multipliers are not unique a linear optimization model is proposed to solve the congestion related pricing difficulty the objective function of the model is set to be minimizing the congestion surplus in addition an incentive based allocation approach is incorporated in the solution procedure for cases when no marginal participant exists the unique pricing solution obtained through our methodology can achieve proper reallocation of the undetermined surplus further we discuss the reference bus independence property of the proposed pricing methodology numerical results are provided to fully test the proposed methodology other possible solutions are also presented for comparison

searching for nonlinearities in real exchange rates a recent innovation in modeling exchange rates has been the use of nonlinear techniques such as threshold autoregressive models and its smooth transition variants this paper investigates the smooth transition autoregressive star modeling strategy in an application to real exchange rates the key findings are as follows first using the methodology advocated by terasvirta 1994 we find evidence of nonlinear dynamics for several of the spot dollar real exchange rates using monthly data on five of the g7 countries however once estimated we find that the star specification is appropriate for only one of the three exchange rate series indicated to be an estar process moreover using simulations we show that the underlying methodology used to detect nonlinearities in the data exhibit substantial size biases which we attribute to influential observations we also investigate an alternative nonlinear specification and find that we can model the dollar sterling and the dollar lira real exchange rates better as an open loop tar process instead of a setar process

the effects of the introduction of the euro on the volatility of european stock markets abstract have convergence of european economies and introduction of the euro produced some effects on european stock markets theory suggests that stabilization of fundamentals should decrease variance of stock returns for historically unstable stock markets we test this proposition with daily data for the period january 1988 may 2000 and apply a three regime markov switching model for the variance covariance matrix among several stock indices including the uk and the us the analysis shows that introduction of the euro after an initial burst of volatility common to all european stock markets has indeed stabilized the spanish and italian stock markets

mean reversion in target zones a re examination of some erm exchange rates the theoretical literature on exchange rate behaviour in target zones predicts that the exchange rate would be mean reverting this article empirically investigates this theoretical prediction in the case of the german mark bilateral exchange rates using a recently developed unit root test this article provides evidence that is generally negative to the idea of mean reversion it shows that all bilateral exchange rates under investigation appear to be unit root processes with the exception of the dutch guilder german mark rate

revisiting the interest rate exchange rate nexus a markov switching approach abstract in this paper the interest rate exchange rate nexus and the effectiveness of an interest rate defense are investigated empirically i present a reduced form evidence which characterizes the empirical relationship between interest rates and exchange rates i use a markov switching specification of the nominal exchange rate with time varying transition probabilities empirical evidence from six developing countries indonesia south korea the philippines thailand mexico and turkey indicates that raising nominal interest rates leads to a higher probability of switching to a crisis regime thus the empirical results presented here may support the view that a high interest rate policy is unable to defend the exchange rate unlike other studies which consider linear models only my findings are robust and consistent over different countries and crisis episodes asian 1997 crises mexico 1994 crisis and turkey 1994 2001 crises in order to explain the empirical findings i construct a simple theoretical model by incorporating an interest rate rule in the model proposed by jeanne and rose 2002 jeanne o rose a k 2002 noise trading and exchange rate regimes quarterly journal of economics 117 2 537 569 the model has multiple equilibria and under plausible conditions higher exchange rate volatility is associated with higher interest rates

central bank intervention exchange rate regime and the purchasing power parity motivated by the argument that central bank intervention leads to non linear exchange rate adjustment processes we examine purchase power parity ppp by applying quantile unit root tests to the exchange rates of the new taiwan dollar ntd vis a vis seven asian currencies we show that exchange rate regime matters in determining whether ppp holds while ppp holds overwhelmingly during the period when the ntd is under the fixed exchange rate regime it is present only for some exchange rates during the managed floating rate regime for exchange rates exhibiting mean reversion the reversion occurs mainly when the shocks are large in contrast to conclusion in the literature our test results show little evidence of asymmetric mean reversion between positive and negative shocks

optimal prediction of cyclical downturns abstract in the conventional way of visualizing economic time series the prediction problem does not dichotomize into predicting turning points and predicting conditional means yet the prediction of turning points has always been considered a separate issue in business cycle literature the paper first discusses these issues and then describes a model where the prediction of turning points does separate from the prediction of conditional means using the model an optimal way of predicting turning points is derived and applied to u s data the paper uses time series methodology and the theory of optimal stopping times

transactions costs and nonlinear adjustment in real exchange rates an empirical investigation eolquilibrium models of real exchange rate determination in the presence of transactions costs imply a nonlinear adjustment process toward purchasing power parity ppp conventional cointegration tests which ignore the effect of transactions costs may be biased against the long run ppp hypothesis our results using both monthly data for the interwar period and annual data spanning two centuries clearly reject the linear framework in favor of an exponential smooth transition autoregressive process the systematic pattern in the estimates of the nonlinear models provides strong evidence of mean reverting behavior for ppp deviations and helps explain the mixed results of previous studies

a cardan s discriminant approach to predicting currency crashes abstract this paper models large swings in exchange rates by introducing nonlinearity via the generalized normal gen distribution lye j n martin v l 1993 robust estimation nonnormalities and generalized exponential distributions journal of the american statistical association 88 261 267 as the distribution allows for bimodality a switch between modes may give rise to currency crashes a statistic known as cardan s discriminant based on the shape parameters of the gen is used to detect bimodality the cardan s discriminant is found to reliably predict currency crashes for eight emerging countries and generate relatively low false signals for stable currencies

new evidence on nominal exchange rate predictability abstract the meese rogoff puzzle one of the well known puzzles in international economics concerns the weak relationship between nominal exchange rates and market fundamentals the purpose of this paper is to show that market fundamentals do in fact matter in forecasting nominal exchange rates in particular we emphasize the importance of the harrod balassa samuelson effect in modeling deviations from purchasing power parity based on the post bretton woods period we provide solid out of sample evidence that rejects the random walk forecast model at medium term and long term forecast horizons we also find mild evidence for out of sample predictability of nominal exchange rates over the short term

a re examination of the exchange rate interest differential relationship evidence from germany and japan abstract this paper presents empirical evidence which links the exchange rate interest differential relation over the recent floating rate period using johansen s cointegration test we find a long run relationship between real exchange rates and expected real interest differentials in addition empirical evidence is provided to show that our error correction framework leads to real exchange rate forecasts that are superior to those generated by a random walk forecasting model moreover this superiority in out of sample predictability is supported statistically by the test of diebold and mariano

empirical exchange rate models and currency risk some evidence from density forecasts a large literature in exchange rate economics has investigated the forecasting performance of empirical exchange rate models using conventional point forecast accuracy criteria however in the context of managing exchange rate risk interest centers on more than just point forecasts this paper provides a formal evaluation of recent exchange rate models based on the term structure of forward exchange rates which previous research has shown to be satisfactory in point forecasting in terms of density forecasting performance the economic value of the exchange rate density forecasts is investigated in the context of an application to a simple risk management exercise

regime shifts and the canada us exchange rate in a multivariate framework this study re evaluates the monetary approach for the canada u s exchange rate and shows that its basic structure can be verified although the coefficients are not consistently in line with theory our findings also indicate that exchange rate adjustment is subject to regime shifts

forecasting petroleum futures markets volatility the role of regimes and market conditions in this paper we employ regime volatility models to describe time dependency in petroleum markets using a sample of nymex and ice futures contracts we establish the existence of a regime process and link this process to market fundamentals this formulation results in two distinct states a highly persistent conditional volatility process characterised by long memory and low sensitivity to market shocks and a relatively short lived nonstationary process with less memory but higher sensitivity to shocks moreover to investigate the relationship between disequilibrium and volatility of oil futures across high and low volatility regimes we use augmented regime garch models to address in a realistic way the potential diverse response of volatility to forward curve shocks the performance of these models is compared to benchmarks using both statistical tests and risk management loss functions to test the robustness of the forecasting strategies we also perform a reality check employing the stationary bootstrap approach the findings of this paper have important implications for decision making concerning trading and risk management as well as energy market operations such as refining and budget planning by providing valuable information on the oil price volatility dynamics and the ability to predict risk

model free evaluation of directional predictability in foreign exchange markets we examine directional predictability in foreign exchange markets using a model free statistical evaluation procedure based on a sample of foreign exchange spot rates and futures prices in six major currencies we document strong evidence that the directions of foreign exchange returns are predictable not only by the past history of foreign exchange returns but also the past history of interest rate differentials suggesting that the latter can be a useful predictor of the directions of future foreign exchange rates this evidence becomes stronger when the direction of larger changes is considered we further document that despite the weak conditional mean dynamics of foreign exchange returns directional predictability can be explained by strong dependence derived from higher order conditional moments such as the volatility skewness and kurtosis of past foreign exchange returns moreover the conditional mean dynamics of interest rate differentials contributes significantly to directional predictability we also examine the co movements between two foreign exchange rates particularly the co movements of joint large changes there exists strong evidence that the directions of joint changes are predictable using past foreign exchange returns and interest rate differentials furthermore both individual currency returns and interest rate differentials are also useful in predicting the directions of joint changes several sources can explain this directional predictability of joint changes including the level and volatility of underlying currency returns copyright 2007 john wiley sons ltd