can oil prices forecast exchange rates an empirical analysis of the relationship between commodity prices and exchange rates we show the existence of a very short term relationship at the daily frequency between changes in the price of a country s major commodity export and changes in its nominal exchange rate the relationship appears to be robust and to hold when we use contemporaneous realized commodity price changes in our regression however when we use lagged commodity price changes the predictive ability is ephemeral mostly appearing after instabilities have been appropriately taken into account

the turning black tide energy prices and the canadian dollar the authors revisit the relationship between energy prices and the canadian dollar in the amano and van norden 1995 equation which shows a negative relationship such that higher real energy prices lead to a depreciation of the canadian dollar

forecasting exchange rates with commodity prices a global country analysis this paper investigates the predictive properties of import and export prices of commodities on the exchange rates a period from 1993 to 2016 is considered we find that forecasts of the exchange rate adding commodity export and import prices are superior to those neglecting these variables this holds irrespective of whether the countries are net exporters or importers of commodities however the forecasting power was even better in the 1990s and seems to have decreased since that that time nevertheless forecasts can even today be improved considerably by adding commodity prices

price formation in electricity forward markets and the relevance of systematic forecast errors since the liberalisation of the european electricity sector forward and futures contracts have gained significant interest of market participants due to risk management reasons for pricing of these contracts an important fact concerns the non storability of electricity in this case according to economic theory forward prices are related to the expected spot prices which are built on fundamental market expectations in the following article the crucial impact parameters of forward electricity prices and the relationship between forward and future spot prices will be assessed by an empirical analysis of electricity prices at the european energy exchange and the nord pool power exchange in fact price formation in the considered markets is influenced by historic spot market prices yielding a biased forecasting power of long term contracts although market and risk assessment measures of market participants and supply and demand shocks can partly explain the futures spot bias inefficiencies in the analysed forward markets cannot be ruled out

reassessing the empirical relationship between the oil price and the dollar abstract this paper aims at reassessing the empirical relationship between the real price of oil and the u s dollar real effective exchange rate over the 1974 2015 period we find that changes in both variables are now linked by a negative relationship going from the dollar exchange rate to the real oil price however the same relationship is found positive when ending the sample in the mid 2000s in line with the previous literature to understand and investigate this evolution we rely on a nonlinear smooth transition regression model in which the oil price dollar nexus depends on the dynamics followed by the u s currency our results show that the relationship is negative most of the times but turns positive when the dollar hits very high values as in the early eighties

causal flows between oil and forex markets using high frequency data asymmetries from good and bad volatility abstract this paper investigates the causal linkages in volatility between crude oil prices and six major bilateral exchange rates against the u s dollar in the time frequency space using high frequency intraday data special attention is paid to the potential asymmetries in the causal effects between oil and forex markets the wavelet based granger causality method proposed by olayeni 2016 is applied to quantify the causal relations in the time and frequency domains simultaneously moreover the realized semivariance approach of barndoff nielsen et al 2010 is used to account for possible asymmetries in the transmission of volatility shocks the empirical results show that the significant causal links between oil prices and exchange rates are mainly concentrated in the long run and during periods of increased economic and financial uncertainty such as the global financial crisis and the subsequent european sovereign debt crisis further the causal effects from currency markets to the crude oil market are stronger than in the opposite direction consistent with the forward looking nature of exchange rates the role of the u s dollar as the key invoicing currency for global oil trading and the expanding financialization of the oil market since the mid 2000s in addition significant asymmetries coming from good and bad volatility are found at longer horizons specifically bad volatility seems to dominate good volatility in terms of the importance of transmission of volatility shocks

oil prices and the rise and fall of the us real exchange rate abstract questions of the relative importance of real vs monetary shocks in explaining exchange rate movements still have no widely accepted answer despite their importance both for the research agenda and for policy questions we examine this issue using a variety of empirical techniques for the us effective exchange rate we find that a stable link exists between oil price shocks and the us real effective exchange rate over the post bretton woods period the results suggest that oil prices may have been the dominant source of persistent real exchange rate shocks and that energy prices may have important implications for future work on exchange rate behavior

the role of portfolio constraints in the international propagation of shocks we study the comovement among stock prices and exchange rates in a three good three country centre periphery dynamic equilibrium model in which the centre s agents face portfolio constraints we characterize equilibrium in closed form for a broad class of portfolio constraints solving for stock prices terms of trade and portfolio holdings we show that portfolio constraints generate wealth transfers between the periphery countries and the centre which increase the comovement of the stock prices across the periphery we associate this excess comovement caused by portfolio constraints with the phenomenon known as contagion the model generates predictions consistent with other important empirical results such as amplification and flight to quality effects copyright 2008 wiley blackwell

forecast comparisons in unstable environments we propose new methods for comparing the out of sample forecasting performance of two competing models in the presence of possible instabilities the main idea is to develop a measure of the relative local forecasting performance for the two models and to investigate its stability over time by means of statistical tests we propose two tests the fluctuation test and the one time reversal test that analyze the evolution of the models relative performance over historical samples in contrast to previous approaches to forecast comparison which are based on measures of global performance we focus on the entire time path of the models relative performance which may contain useful information that is lost when looking for the model that forecasts best on average we apply our tests to the analysis of the time variation in the out of sample forecasting performance of monetary models of exchange rate determination relative to the random walk copyright 2010 john wiley sons ltd

testing long horizon predictive ability with high persistence and the meese rogoff puzzle a well known puzzle in the international finance literature is that a random walk predicts exchange rates better than economic models meese and rogoff 1983a b and 1988 this paper offers a potential explanation for this finding when exchange rates and fundamentals are highly persistent long horizon forecasts of economic models are asymptotically biased by the estimation error in the parameter that measures the persistence when this bias outweighs the benefits from exploiting economic information the random walk model will forecast better this happens even if the economic model is the true data generating process the reason is that a random walk model imposes a unit root rather than estimates it the paper thus proposes a test for equal predictive ability in the presence of highly persistent variables when applied to the meese rogoff exercise this test shows that the poor forecasting ability of economic models does not imply that the models are not a good description of the data

was it real the exchange rate interest differential relation over the modern floating rate period in this paper we explore the relationship between real exchange rates and real interest rate differentials in the united states germany japan and the united kingdom contrary to theories based on the joint hypothesis that domestic prices are sticky and monetary disturbances are predominant we find little evidence of a stable relationship between real interest rates and real exchange rates we consider both in sample and out of sample tests one hypothesis that is consistent with our findings is that real disturbances such as productivity shocks may be a major source of exchange rate volatility this paper investigates the empirical relationship between major currency real exchange rates and real interest rates over the modern post march 1973 flexible rate experience the exchange rates examined here include the dollar mark dollar yen and dollar pound rates our two major findings are as follows first the data do not indicate a strong correspondence between real interest rate differentials short term or long term and real exchange rates this finding appears to conflict with the predictions of most monetary and portfolio balance models of exchange rate determination though the conflict can be substantially reconciled if aggregate disturbances are primarily real in nature i e changes in productivity tastes etc it is true that in many cases the sign of the estimated exchange rate interest rate differential relationship is consistent with the possible predominance of financial market disturbances but the relationship is not stable enough to be statistically significant second although one does find some evidence of a unit root in both real exchange rates and long term but not shortterm real interest differentials these two series do not appear to be linearly cointegrated hence the nonstationarity or near nonstationarity in the two series cannot be attributed to the same factor in section i we briefly describe a class of small scale monetary models of exchange rate determination the importance of this class of models for empirical work derives from its strong predictions about how the exchange rate will move

exogenous shocks and the spillover effects between uncertainty and oil price this paper evaluates the information spillover between equity related uncertainty and the oil price before and after the 2008 global financial crisis and the effects of exogenous shocks on the pattern of information spillover in particular we investigate mean and volatility spillovers between uncertainty and the oil price with and without exogenous shocks by using a bivariate egarch model there are two main findings in our paper first the evidence ensures significant information transmission between equity related uncertainty and the oil price and shows remarkable differences in transmission patterns before and after the crisis second the results show that exogenous shocks can intensify information transmission between oil prices and uncertainty in terms of both the mean and volatility spillover effects moreover exogenous shocks exhibit direct spillover effects on oil prices

exchange rate forecasting on a napkin abstract this paper shows that there are two regularities in foreign exchange markets in advanced countries with flexible regimes first real exchange rates are mean reverting as implied by the purchasing power parity model second the adjustment takes place via nominal exchange rates these features of the data can be exploited even on the back of a napkin to generate nominal exchange rate forecasts that outperform the random walk the secret is to avoid estimating the pace of mean reversion and assume that relative prices are unchanged direct forecasting panel data techniques and non linear models can outperform the random walk but fail to beat this simple calibrated model

an investigation of oil prices impact on sovereign credit default swaps in russia and venezuela abstract in this paper we study the impact of oil price returns on sovereign credit default swaps cds spreads for two major oil producers russia and venezuela using daily spreads from 2008 to 2015 through a time varying transition probabilities markov switching model our results show that crude oil price and its volatility are critical determinants of their sovereign debt we highlight some differences between the two countries depending on the state of the economy moreover global and local factors play a major role in the determination of sovereign cds spreads

can exchange rates forecast commodity prices we show that commodity currency exchange rates have surprisingly robust power in predicting global commodity prices both in sample and out of sample and against a variety of alternative benchmarks this result is of particular interest to policy makers given the lack of deep forward markets in many individual commodities and broad aggregate commodity indices in particular we also explore the reverse relationship commodity prices forecasting exchange rates but find it to be notably less robust we offer a theoretical resolution based on the fact that exchange rates are strongly forward looking whereas commodity price fluctuations are typically more sensitive to short term demand imbalances

commodity currencies and commodity prices modelling static and time varying dependence abstractthis article employs the copula approach to study the relationship between exchange rates and commodity prices for large commodity exporters using data for the nominal exchange rates of four commodity currencies australian canadian and new zealand dollars and norwegian krone against the us dollar and the relevant country specific commodity price indices constructed on a daily basis we find 1 a positive dependence between the values of commodity currencies and commodity indices i e a commodity index increases when a respective currency appreciates and provides several explanations for this finding 2 no major asymmetries in the tail dependence for most pairs of exchange rates and commodity indices and 3 a pronounced increase in the time varying tail dependence following the global financial crisis

revisiting the relationship between spot and futures prices in the nord pool electricity market abstract this work discusses potential pitfalls of applying linear regression models for explaining the relationship between spot and futures prices in electricity markets in particular the bias coming from the simultaneity problem the effect of correlated measurement errors and the impact of seasonality on the regression results studying a 13 year long 1998 2010 price series of spot and futures prices at nord pool and employing regression models with garch residuals we show that the impact of the water reservoir level on the risk premium is positive which is to be expected but contradicts the results of botterud et al 2010 we also show that after taking into account the seasonality of the water level the storage cost theory proposed by botterud et al 2010 to explain the behavior of convenience yield has only limited support in the data

does the u s economic policy uncertainty connect financial markets evidence from oil and commodity currencies abstract we provide novel insight to the emerging literature on the role of u s monetary policy as a driver of a global financial cycle by examining the possible causal effect of u s economic policy uncertainty on the connectedness of crude oil and currency markets using a sample of commodity currencies from advanced and emerging nations a battery of linear and nonlinear granger based causality tests indicate the presence of a causal relationship between economic policy uncertainty and the connectedness of oil and currency markets particularly at low frequencies and more significantly after the outburst of the global financial crisis while crude oil generally serves as a net transmitter of shocks to currencies across all frequency bands the spillover effects from oil are largely concentrated towards the g10 currencies of australian and new zealand dollar that are often used as investment currencies in global carry trade strategies overall our findings suggest the presence of a significant pass through effect of economic policy uncertainty via oil prices spilling over to the currency market in line with the emerging evidence that the monetary policy by the u s fed serves as a major driver of a global financial cycle that describes patterns in global capital flows credit activity and asset prices across financial markets

storage and the electricity forward premium we develop and test a model describing the influence of natural gas storage inventories on the electricity forward premium the model is constructed by linking the effect of gas storage constraints on the higher moments of the distribution of electricity prices to an established model of the effect of those moments on the forward premium the model predicts a sharply negative effect of gas storage inventories on the electricity forward premium when demand for electricity is high and space heating demand for gas is low empirical results based on pjm data strongly support the model

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

the relationship between oil prices and exchange rates revisiting theory and evidence abstract this paper reviews existing theoretical and empirical research on the relationship between oil prices and exchange rates we start with theoretical transmission channels which point to bi directional causality empirical research is classified and shows that the evidence varies substantially depending on sample country choice and empirical method yet there are some common patterns i strong links between exchange rates and oil prices are frequently observed over the long run and ii either exchange rates or oil prices are a potentially useful predictor of the other variable in the short run but the effects are strongly time varying we also identify some important avenues for future research

can portfolio rebalancing explain the dynamics of equity returns equity flows and exchange rates we explore whether the pattern of international equity returns equity portfolio flows and exchange rate returns are consistent with the hypothesis that unhedged global investors rebalance their portfolio in order to limit their exchange rate exposure when there are 1 relative equity return and 2 exchange rate shocks we also explore whether 3 equity flow shocks influence the exchange rates and relative equity prices in the estimation of the var system we do not impose any causal ordering upon the primitive shocks but instead identify the system based on theoretical priors about the contemporaneous conditional correlations between the three variables international data for the five largest equity markets are consistent with a theory in which equity returns and portfolio rebalancing are an important source of exchange rate dynamics

taylor rules with real time data a tale of two countries and one exchange rate abstract using real time data that reflects information available to monetary authorities at the time they are formulating policy we find that estimated taylor rules based on revised and real time data differ more for germany than for the u s taylor rules using real time data suggest differences between u s and german monetary policies and taylor rules for the u s using inflation forecasts are nearly identical to those using lagged inflation rates evidence of out of sample predictability for the dollar mark nominal exchange rate with forecasts based on taylor rule fundamentals is only found with real time data and does not increase if inflation forecasts are used

market efficiency and risk premia in short term forward prices abstract using recursive estimation and rolling windows over extended sample periods we examine the time varying relationship between spot and short term forward prices in the pennsylvania new jersey maryland pjm wholesale electricity market we examine theoretical models of forward risk premia in electricity markets and show that recent data do not provide support for existing models the results indicate that short term forward prices have converged towards unbiased predictors of the subsequent spot prices

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

modelling systemic risk and dependence structure between the prices of crude oil and exchange rates in brics economies evidence using quantile coherency and ngcovar approaches abstract in this study we examine the dependence structure and systemic risk between return series of the prices of crude oil and the brics exchange rates to us using the quantile coherency methods of barunik and kley 2015 and the nonparametric conditional value at risk granger causality test hereafter ngcovar of diks and wolski 2018 over the period 2005 2017 further we use the hiemstra and jones 1994 hereafter hj and diks and panchenko 2005 hereafter dp tests for comparison purposes our findings indicate that all countries reveal significant negative dependence in the long run dynamics between oil prices and brazilian indian and south african currencies hj and dp tests suggest that lagged crude oil prices have predictive power for the brazilian and russian exchange rates furthermore a robust unidirectional lagged dependence exists from the brazilian exchange rate to crude oil prices concerning the chinese indian and south african currencies we find no contagion effects from to those countries to the oil market for russia there is limited evidence of contagion effects these findings provide insights for regulators and international investors

the taylor rule and forecast intervals for exchange rates in this paper we examine the meese rogoff puzzle from a different perspective out of sample interval forecasting while most studies in the literature focus on point forecasts we apply semiparametric interval forecasting to a group of exchange rate models forecast intervals for 10 oecd exchange rates are generated and the performance of the empirical exchange rate models are compared with the random walk our contribution is twofold first we find that in general exchange rate models generate tighter forecast intervals than the random walk given that their intervals cover out of sample exchange rate realizations equally well our results suggest a connection between exchange rates and economic fundamentals economic variables contain information useful in forecasting distributions of exchange rates we also find that the benchmark taylor rule model performs better than the monetary ppp and forward premium models and its advantages are more pronounced at longer horizons second the bootstrap inference framework proposed in this paper for forecast interval evaluation can be applied in a broader context such as inflation forecasting

pricing of monthly forward contracts in the nord pool market this paper investigates whether the pricing of forward contracts in the nord pool market is efficient monthly forward contracts were introduced in the nord pool market in 2003 likewise quarterly contracts that will replace seasonal contracts were introduced in 2004 for a transition period these contracts together with the pre existing seasonal and yearly contracts constitute the forward market in an efficient forward market the price of a seasonal forward contract should equal the time weighted average of the underlying monthly forward contracts in this paper we use historic forward price information to evaluate whether this relationship holds true and find that there are inefficiencies in the pricing

forecasting oil price realized volatility using information channels from other asset classes motivated from ross 1989 who maintains that asset volatilities are synonymous to the information flow we claim that cross market volatility transmission effects are synonymous to cross market information flows or information channels from one market to another based on this assertion we assess whether cross market volatility flows contain important information that can improve the accuracy of oil price realized volatility forecasting we concentrate on realized volatilities derived from the intra day prices of the brent crude oil and four different asset classes stocks forex commodities and macro which represent the different information channels by which oil price volatility is impacted from we employ a har framework and estimate forecasts for 1 day to 66 days ahead our findings provide strong evidence that the use of the different information channels enhances the predictive accuracy of oil price realized volatility at all forecasting horizons numerous forecasting evaluation tests and alternative model specifications confirm the robustness of our results

the multilateral relationship between oil and g10 currencies abstract the relationship between oil and currencies is expected to be multilateral in nature however the use of the us dollar price of oil to measure this relationship can suffer from aggregation bias which is caused by the well known numeraire effect the quotation of oil in us dollars in this paper we remove the numeraire effect from the us dollar price of oil by creating a global multilateral price of oil which is quoted relative to multiple currencies this allows us to estimate an unbiased multilateral relationship between oil and g10 currencies we find that the global price of oil moves multilaterally with a group of oil currencies the norwegian krone the australian dollar the canadian dollar and the british pound in contrast the japanese yen and the swiss franc move multilaterally against the group of oil currencies and not against the global price of oil

incorporating daily market uncertainty data into a conventional short run dynamic model the case of the black market exchange rate in iran the effect of market uncertainty on a country s currency while widely recognized is either omitted from mainstream models or addressed using low frequency series which are typically subject to a

meese rogoff redux micro based exchange rate forecasting meese rogoff redux micro based exchange rate forecasting by martin d d evans and richard k lyons this paper compares the true ex ante fore casting performance of a micro based model against both a standard macro model and a random walk in contrast to existing literature which is focused on longer horizon forecasting we examine forecasting over horizons from one day to one month the one month horizon being where micro and macro analysis begin to over lap over our three year forecasting sample we find that the micro based model consistently outperforms both the random walk and the macro model micro based forecasts account for almost 16 percent of the sample variance in monthly spot rate changes these results pro vide a level of empirical validation as yet unat tained by other models the forecasting experiment proposed by richard meese and kenneth rogoff 1983 re mains a benchmark against which exchange rate models are judged their result that structural macro models cannot outperform a naive random walk has proved robust over the decades yet the meese rogoff paper was never about forecasting in the true sense i e using tirrie f information to forecast exchange rates at t 1 b y using concurrent realized values of the forcing variables their regressions were more about concurrent explanation than about ex ante forecasting their only forecast ing element is in their reliance on ex ante data to estimate equation parameters which appro priately penalized models whose estimated pa rameters were unstable tion for the random walk nature of exchange rates is that there exists some unobserved fun damental that itself follows a random walk un observed being important because fundamentals proposed in most macro models do not follow random walks they offer a different explana tion one rooted in the asset approach to ex change rates and the present value relation that follows from it specifically they show that i f fundamentals are 1 1 but not necessarily ran dom walks then as the discount factor in the present value relation approaches 1 the ex change rate will follow a process arbitrarily close to a random walk intuitively given that an 1 1 process can be split into random walk and stationary components a discount factor near 1 means that most all of the weight is placed on fundamentals far into the future ex pectations of which are dominated by the random walk component charles engel and kenneth west 2004 2005 provide a valuable perspective on the forecastability of exchange rates one explana this paper takes the analysis of engel and west as an important reorientation of thinking and brings it to the natural next step specifi cally if there is little room for forecasting based on stationary components of fundamentals then one needs to focus on where all the action is namely exchange rate dynamics that come from expectational surprises though the sur prise part is by definition orthogonal to public information our micro based model shows that there should exist types of nonpublic infor mation that are useful for forecasting this part and where to look for these types of informa tion we then locate data on these types of nonpublic information and test whether they have true ex ante forecasting power we should evans department of economics georgetown uni versity washington dc 20057 and nber lyons haas school of business university of california berkeley c a 94720 1900 and nber we are grateful to ken west for his comments and to the national science foundation for financial support we refrain from using the word news because it has too strong an association with macro information that is public which even in the most careful of event studies explains less than 5 percent of exchange rate variation in total see torben andersen et al 2003

the causal relationship between energy consumption and economic growth in lebanon this paper investigates the dynamic causal relationship between energy consumption and economic growth in lebanon over the period 1980 2009 within a bivariate framework imposed on us due to data limitations and in an effort to increase the robustness of our results we employ a variety of causality tests namely hsiao toda yamamoto and vector error correction based granger causality tests we find strong evidence of a bidirectional relationship both in the short run and in the long run indicating that energy is a limiting factor to economic growth in lebanon from a policy perspective the confirmation of the feedback hypothesis warns against the use of policy instruments geared towards restricting energy consumption as these may lead to adverse effects on economic growth consequently there is a pressing need to revise the current national energy policy that calls for a 5 energy conservation target also to shield the country from external supply shocks given its substantial dependence on energy imports policymakers should emphasize the development of domestic energy resources further the most pertinent implication is that relaxing the present electric capacity shortages should be made a national priority in view of its potential positive effect on the economy

out of sample exchange rate predictability with taylor rule fundamentals abstract an extensive literature that studied the performance of empirical exchange rate models following meese and rogoff s meese r a rogoff k 1983a empirical exchange rate models of the seventies do they fit out of sample journal of international economics 14 3 24 seminal paper has not convincingly found evidence of out of sample exchange rate predictability this paper extends the conventional set of models of exchange rate determination by investigating predictability of models that incorporate taylor rule fundamentals we find evidence of short term predictability for 11 out of 12 currencies vis a vis the u s dollar over the post bretton woods float with the strongest evidence coming from specifications that incorporate heterogeneous coefficients and interest rate smoothing the evidence of predictability is much stronger with taylor rule models than with conventional interest rate purchasing power parity or monetary models

oil shocks and aggregate macroeconomic behavior the role of monetary policy a recent paper by bernanke gertler and watson 1997 suggests that monetary policy could be used to eliminate any recessionary consequences of an oil price shock this paper challenges this conclusion on two grounds first we question whether the federal reserve actually has the power to implement such a policy for example we consider it unlikely that additional money creation would have succeeded in reducing the fed funds rate by 900 basis points relative to the values seen in 1974 second we point out that the size of the effect that bernanke gertler and watson attribute to oil shocks is substantially smaller than that reported by other researchers primarily due to their choice of a shorter lag length than that used by other researchers we offer evidence in favor of the longer lag length employed by previous research and show that under this specification even the aggressive federal reserve policies proposed would not have succeeded in averting a downturn