conditional dependence structure between oil prices and exchange rates a copula garch approach abstract we study the conditional dependence structure between crude oil prices and u s dollar exchange rates using a copula garch approach various copula functions of the elliptical archimedean and quadratic families are used to model the underlying dependence structure in both bearish and bullish market phases over the 2000 2011 period we find evidence of significant and symmetric dependence for almost all the oil exchange rate pairs considered the rise in the price of oil is found to be associated with the depreciation of the dollar moreover we show that student t copulas best capture the extreme dependence and that taking the extreme comovement into account leads to improve the accuracy of var forecasts our main results remain unchanged when considering alternative garch type specifications and the crisis period but are sensitive to the use of raw returns

asymmetric forecast densities for u s macroeconomic variables from a gaussian copula model of cross sectional and serial dependence most existing reduced form macroeconomic multivariate time series models employ elliptical disturbances so that the forecast densities produced are symmetric in this article we use a copula model with asymmetric margins to produce forecast densities with the scope for severe departures from symmetry empirical and skew t distributions are employed for the margins and a high dimensional gaussian copula is used to jointly capture cross sectional and multivariate serial dependence the copula parameter matrix is given by the correlation matrix of a latent stationary and markov vector autoregression var we show that the likelihood can be evaluated efficiently using the unique partial correlations and estimate the copula using bayesian methods we examine the forecasting performance of the model for four u s macroeconomic variables between 1975 q1 and 2011 q2 using quarterly real time data we find that the point and density forecasts from the copula model are competitive with those from a bayesian

are electricity prices affected by the us dollar to euro exchange rate the spanish case abstract the objective of this paper is to investigate the relationships between spanish electricity spot prices and the us dollar euro usd euro exchange rate during the period 2005 2007 taking into account the study of the association between dollar and oil prices in order to better understand the evolution of the former over time the first finding in this study is that spanish electricity spots prices the usd euro exchange rate and oil prices are cointegrated therefore there is a long run equilibrium relationship between the three variables short run relationships have been detected between oil prices and spanish electricity prices and usd euro exchange rate in the sense that spanish electricity prices and usd euro exchange rate are affected by oil prices in the short run there is a transmission of volatility between usd euro exchange rate and oil prices to spanish electricity prices so although spanish electricity prices are not affected in level by the movements of usd euro exchange rate they are in volatility in this kind of scenario the conclusions confirm that for countries so dependent on external causes as spain one possible solution for guarantying the energy security would be the promotion of the renewable energies therefore we cannot ignore the impact in the internal expenses of the cost of installation and generation of green energies so there must be a balance between the increase in renewables and the reasonable market price of the electricity

capacity and pricing policies with consumer overflow behavior we analyze consumers choice and overflow behavior between two potential market segments with different fares capacity allocated and then develop the optimal capacity and pricing polices assuming

real time density forecasts from bayesian vector autoregressions with stochastic volatility central banks and other forecasters are increasingly interested in various aspects of density forecasts however recent sharp changes in macroeconomic volatility including the great moderation and the more recent sharp rise in volatility associated with increased variation in energy prices and the deep global recession pose significant challenges to density forecasting accordingly this paper examines with real time data density forecasts of u s gdp growth unemployment inflation and the federal funds rate from bayesian vector autoregression bvar models with stochastic volatility the results indicate that adding stochastic volatility to bvars materially improves the real time accuracy of density forecasts this article has supplementary material online

compatibility and bundling of complementary goods in a duopoly this paper presents a simple model of compatibility and bundling in industries where consumers assemble several necessary components into a system that is close to their ideal the authors show that for a wide range of parameters firms will choose to produce compatible components but will offer discounts to consumers who purchase all components from the same firm however firms would be better off if they could commit not to provide such discounts furthermore the equilibrium tends to involve socially excessive bundling finally mixed bundling strategies tend to increase the range of parameters over which socially excessive standardization occurs copyright 1992 by blackwell publishing ltd

measuring heterogeneous reservation prices for product bundles this paper develops a model for capturing continuous heterogeneity in the joint distribution of reservation prices for products and bundles our model is derived from utility theory and captures both within and among subject variability furthermore it provides dollarmetric reservation prices and individual level estimates that allow the firm to target customers and develop customized and nonlinear pricing policies our experiments show that regardless of whether the products are durables or nondurables the model captures heterogeneity and predicts well models that assume homogeneity perform poorly especially in predicting choice of the bundle furthermore the methodology is robust even when respondents evaluate few profiles self stated reservation prices do not have any informational content beyond that contained in the basic model the direct elicitation method appears to understate overstate the variation in reservation prices across consumers for low priced high priced products and bundles hence this method yields biased demand estimates and leads to suboptimal product line pricing policy the optimization results show that the product line pricing policy depends on the degree of heterogeneity in the reservation prices of the individual products and the bundle a uniformly high price strategy for all products and bundles is optimal when heterogeneity is high otherwise a hybrid strategy is optimal

index investment and financialization of commodities the authors found that concurrent with the rapidly growing index investment in commodity markets since the early 2000s prices of non energy commodity futures in the united states have become incr

a simulation based approach to price optimisation of the mixed bundling problem with capacity constraints abstract in this paper we analyse a service provider s mixed bundling problem for services such as sporting events or holiday packages pursuing the objective of maximising total revenue the service provider has to determine static prices for each single product at the beginning of the selling period additionally an optimal package price has to be chosen for the bundle that comprises one unit of each single product because of capacity constraints the availability of products can change over time such that consumers are forced to switch from their preferred subset of products to an alternative following dynamic substitution we propose two mixed integer linear programmes based on reservation prices that appropriately model the consumer choice process to address the bundling problem it becomes evident that the determination of the optimal prices is computationally expensive even for small problem classes therefore we develop metaheuristics using variable neighbourhoods to evaluate their performance we propose the following new approach our extensive computational study is performed using especially generated scenarios for which the optimal product prices are known for this purpose we present a set of conditions for the generation of reservation prices that guarantee the optimality of the predefined prices based on our computational results managerial insights are derived

bundle pricing of inventories with stochastic demand we consider a retailer selling a fixed inventory of two perishable products over a finite horizon assuming poisson arrivals and a bivariate reservation price distribution we determine the optimal product and bundle prices that maximize the expected revenue our results indicate that the performances of mixed bundling pure bundling and unbundled sales strategies heavily depend on the parameters of the demand process and the initial inventory levels bundling appears to be most effective with negatively correlated reservation prices and high starting inventory levels when the starting inventory levels are equal and in excess of average demand most of the benefits of bundling can be achieved through pure bundling however the mixed bundling strategy dominates the other two when the starting inventory levels are not equal we also observe that an incorrect modeling of the reservation prices may lead to significant losses the model is extended to allow for price changes during the selling horizon it is shown that offering price bundles mid season may be more effective than changing individual product prices

oil prices inflation and interest rates in a structural cointegrated var model for the g 7 countries sharp increases in the price of oil are generally seen as a major contributor to business cycle asymmetries moreover the very recent highs registered in the world oil market are causing concern about possible slowdowns in the economic performance of the most developed countries in this paper a structural cointegrated var model has been considered for the g 7 countries in order to study the direct effects of oil price shocks on output and prices and the reaction of monetary variables to external shocks our results can be summarized as follows i a stationary money demand as suggested by the classic theory of money can be identified for most countries ii according to the estimated coefficients of the structural part of the model for all countries except japan and u k the null hypothesis of an influence of oil prices on the inflation rate cannot be rejected inflation rate shocks are transmitted to the real economy by increasing interest rates iii impulse response analysis suggests for most countries the existence of an instantaneous temporary effect of oil price innovations on prices iv impulse response functions indicate different monetary policy reactions to inflationary and growth shocks v the simulation exercises directed to estimate the total impact of the 1990 oil price shock indicate that for some countries u s a significant part of the effects of the oil price shock is due to the monetary policy reaction function for other countries canada france and italy however the total impact is offset at least in part by an easing of monetary conditions

dynamic steam coal market integration evidence from rolling cointegration analysis abstract the aim of the paper is twofold first to assess the dynamics of the integration process of the international steam coal prices and second to investigate the changes in the roles of particular coal prices in this market in the light of changes in the structure of supply and demand the analysis is based on steam coal prices set by the largest world exporters and importers on both the atlantic and the pacific markets we use weekly data spanning from october 5 2001 to march 28 2014 the aim is achieved in two stages during the first one we use the rolling trace test to identify the integration of the steam coal market and during the second one we apply the rolling weak exogeneity test to determine the roles of the participants of the international steam coal market namely price setters and price takers our main findings can be summarized in two observations firstly the main world steam coal prices are integrated and during the period when freight costs are higher the coal market integration is weaker and when the costs are lower the integration is stronger secondly the role of particular coal prices is not stable in time generally price setters appear in the market which covers greater shares in the physical coal trade although indonesia and russia have a great share in the global export their prices remain price takers during the whole period as a consequence although russia remains the largest coal exporter of the steam coal to the european market it cannot dictate its prices in this market

macroeconomic forecasting and structural change the aim of this paper is to assess whether explicitly modeling structural change increases the accuracy of macroeconomic forecasts we produce real time out of sample forecasts for inflation the unemployment rate and the interest rate using a time varying coefficients var with stochastic volatility tv var for the us the model generates accurate predictions for the three variables in particular for inflation the tv var outperforms in terms of mean square forecast error all the competing models fixed coefficients vars time varying ars and the na ove random walk model these results are also shown to hold over the period commonly referred to as the great moderation

time series copulas for heteroskedastic data we propose parametric copulas that capture serial dependence in stationary heteroskedastic time series we suggest copulas for first order markov series and then extend them to higher orders and multivariate series we derive the copula of a volatility proxy based on which we propose new measures of volatility dependence including co movement and spillover in multivariate series in general these depend upon the marginal distributions of the series using exchange rate returns we show that the resulting copula models can capture their marginal distributions more accurately than univariate and multivariate generalized autoregressive conditional heteroskedasticity models and produce more accurate value at risk forecasts

augmenting conjoint analysis to estimate consumer reservation price consumer reservation price is a key concept in marketing and economics theoretically this concept has been instrumental in studying consumer purchase decisions competitive pricing strategies and welfare economics managerially knowledge of consumer reservation prices is critical for implementing many pricing tactics such as bundling tar get promotions nonlinear pricing and one to one pricing and for assessing the impact of marketing strategy on demand despite the practical and theoretical importance of this concept its measurement at the individual level in a practical setting proves elusive we propose a conjoint based approach to estimate consumer level reservation prices this approach integrates the preference estimation of traditional conjoint with the economic theory of consumer choice this integration augments the capability of traditional conjoint such that consumers reservation prices for a product can be derived directly from the individuallevel estimates of conjoint coefficients with this augmentation we can model a consumer s decision of not only which product to buy but also whether to buy at all in a category thus we can simulate simultaneously three effects that a change in price or the introduction of a new product may generate in a market the customer switching effect the cannibalization effect and the market expansion effect we show in a pilot application how this approach can aid product and pricing decisions we also demonstrate the predictive validity of our approach using data from a commercial study of automobile batteries

the role of bundling in price competition abstract we focus on price competition between several multiproduct firms which produce differentiated systems each consisting of two complementary products firms offer their products separately and or as a bundle consumers are homogeneous but assign different values to different systems we find that equilibrium always exists unlike the case where bundling strategies are excluded and consumers purchase socially best systems consumers extract the entire surplus unless a firm produces at least one of the components of every socially best system we show that bundling may increase consumer surplus a sufficient condition for a system to be sold as a bundle at a discount price is provided

real time macroeconomic forecasting with a heteroskedastic inversion copula there is a growing interest in allowing for asymmetry in the density forecasts of macroeconomic variables in multivariate time series this can be achieved with a copula model where both serial a

oil prices and real exchange rates in this paper we investigate the long run relationship between real oil prices and real exchange rates by using a monthly panel of g7 countries from 1972 1 to 2005 10 we first test whether exchange rates are cointegrated with real oil prices it is shown that real oil prices may have been the dominant source of real exchange rate movements and that there is a link between real oil prices and real exchange rates we then examine the ability of real oil prices to forecast future real exchange returns panel predictive regression estimates suggest that real oil prices have significant forecasting power the out of sample prediction performances demonstrate greater predictability over longer horizons

dynamics of oil price precious metal prices and exchange rate this study examines the co movements and information transmission among the spot prices of four precious metals gold silver platinum and palladium oil price and the us dollar euro exchange rate we find evidence of a weak long run equilibrium relationship but strong feedbacks in the short run the spot precious metal markets respond significantly but temporarily to a shock in any of the prices of the other metal prices and the exchange rate furthermore we discover some evidence of market overreactions in the palladium and platinum cases as well as in the exchange rate market in conclusion whether there are overreactions and re adjustments or not investors may diversify at least a portion of the risk away by investing in precious metals oil and the euro policy implications are provided

a probabilistic approach to pricing a bundle of products or services the authors propose a probabilistic approach to optimally price a bundle of products or services that maximizes seller s profits their focus is on situations in which consumer decision making is o

the empirical role of the exchange rate on the crude oil price formation this paper adopts a novel empirical approach to the crude oil price formation for the purpose of understanding the price reactions of opec member countries to changes in the exchange rate of the us dollar against other major currencies and prices of other members the results are broadly consistent with the view of the absence of a unified opec determined price in the international crude market literature in addition the results also highlight a cross regional dimension of the crude oil market

stochastic search variable selection in vector error correction models with an application to a model of the uk macroeconomy this paper develops methods for stochastic search variable selection currently popular with regression and vector autoregressive models for vector error correction models where there are many possible restrictions on the cointegration space we show how this allows the researcher to begin with a single unrestricted model and either do model selection or model averaging in an automatic and computationally efficient manner we apply our methods to a large uk macroeconomic model

oil price fluctuations and u s dollar exchange rates adding oil prices to the monetary model of exchange rates we find that oil prices significantly explain movements in the value of the u s dollar usd against major currencies from the 1970s to 2008 our long run and forecasting results are remarkably consistent with an oil exchange rate relationship increases in real oil prices lead to a significant depreciation of the usd against net oil exporter currencies such as canada mexico and russia on the other hand the currencies of oil importers such as japan depreciate relative to the usd when the real oil price goes up

macroeconomic forecasting performance under alternative specifications of time varying volatility summary this paper compares alternative models of time varying volatility on the basis of the accuracy of real time point and density forecasts of key macroeconomic time series for the usa we consider bayesian autoregressive and vector autoregressive models that incorporate some form of time varying volatility precisely random walk stochastic volatility stochastic volatility following a stationary ar process stochastic volatility coupled with fat tails garch and mixture of innovation models the results show that the ar and var specifications with conventional stochastic volatility dominate other volatility specifications in terms of point forecasting to some degree and density forecasting to a greater degree copyright 2014 john wiley sons ltd

combining forecast densities from vars with uncertain instabilities recursive weight forecast combination is often found to an ineffective method of improving point forecast accuracy in the presence of uncertain instabilities we examine the effectiveness of this strategy for forecast densities using many vector autoregressive var and autoregressive ar models of output growth inflation and interest rates our proposed recursive weight density combination strategy based on the recursive logarithmic score of the forecast densities produces well calibrated predictive densities for us real time data by giving substantial weight to models that allow for structural breaks in contrast equal weight combinations produce poorly calibrated forecast densities for great moderation data copyright 2010 john wiley sons ltd

federal reserve information and the behavior of interest rates this paper tests for the existence of asymmetric information between the federal reserve and the public by examining federal reserve and commercial inflation forecasts it demonstrates that the federal reserve has considerable information about inflation beyond what is known to commercial forecasters it also shows that monetary policy actions provide signals of the federal reserve s information and that commercial forecasters modify their forecasts in response to those signals these findings may explain why long term interest rates typically rise in response to shifts to tighter monetary policy jel e52 e43 d82 asymmetric information between the federal reserve and the public is a phenomenon that is often posited but rarely tested numerous models of central bank behavior for example show that the existence of asymmetric information has important implications for the effectiveness of policy and the consequences of dynamic inconsistency yet there

customized bundle pricing for information goods a nonlinear mixed integer programming approach this paper proposes using nonlinear mixed integer programming to solve the customized bundle pricing problem in which consumers are allowed to choose up to n goods out of a larger pool of j goods prior work has suggested that this mechanism has attractive features for the pricing of information and other low marginal cost goods although closed form solutions exist for this problem for certain cases of consumer preferences many interesting scenarios cannot be easily handled without a numerical solution procedure in this paper we investigate the efficiency gains created by customized bundling over the alternatives of pure bundling or individual sale under different assumptions about customer preferences and firm cost structure as well as the potential loss of efficiency caused by pricing with incomplete information about consumer reservation values our analysis suggests that customized bundling enhances sellers profits and enhances welfare when consumers do not place positive values on all goods and that this consumer characteristic is much more important than the shape of the valuation distribution in determining the optimal pricing scheme we also find that customized bundling outperforms both pure bundling and individual sale in the presence of incomplete information and that customized bundling still outperforms other simpler pricing schemes even when exact consumer valuations are not known ex ante

an application of models of speculative behaviour to oil prices abstract we estimate three different models of speculative behaviour using oil price data our findings provide support for the claim by phillips and yu 2011 and gilbert 2010 that a bubble in oil prices existed for a short period in 2008

optimal bundling and pricing under a monopoly contrasting complements and substitutes from independently valued products we develop an analytical model of contingent valuations and address two questions of import to a monopolist i should a given pair of complements or substitutes be sold separately pure components together pure bundling or both mixed bundling and at what prices ii how do optimal bundling and pricing strategies for complements and substitutes differ from those for independently valued products we find that the combination of marginal cost levels and the degree of complementarity or substitutability determines which of the three bundling strategies is optimal complements and substitutes should typically be priced higher than independently valued products

optimal product line pricing in the presence of budget constrained consumers abstract the product line pricing problem is generally defined as a seller s task to determine the optimal prices for each product in a product line while accounting for both demand side and supply side restrictions in this paper we contribute to the existing literature by incorporating consumers budget considerations into the seller s optimisation problem despite playing an important role in many applications such as the pricing of tickets for sporting or theatre seasons budget constraints have not been considered in the academic literature in the context of product line pricing to date by building on the assumptions and the model formulation recently proposed in a previous study by burkart w r et al 2012 product line pricing for services with capacity constraints and dynamic substitution european journal of operational research 219 2 347 359 for standard product line pricing we propose a number of new mixed integer linear formulations assuming budget constrained consumers the formulations differ in terms of how consumers handle their individual budget limitations to solve the underlying problems we propose a customised branch and bound procedure that relies on various novel problem specific bound arguments explicitly exploiting the consumers budget limitations experimental tests show that the branch and bound procedure clearly outperforms ibm ilog cplex which is unable to solve problems for even medium sized instances furthermore based on a number of scenarios we derive managerial insights regarding e g the overall impact of considering budget constraints on the seller s revenue as well as the impact of correctly anticipating the type of consumer purchase behaviour

mixed bundling auctions we study multi object auctions where agents have private and additive valuations for heterogeneous objects we focus on the revenue properties of a class of dominant strategy mechanisms where a weight is assigned to each partition of objects the weights influence the probability with which partitions are chosen in the mechanism this class contains efficient auctions pure bundling auctions mixed bundling auctions auctions with reserve prices and auctions with pre packaged bundles for any number of objects and bidders both the pure bundling auction and separate efficient auctions for the single objects are revenue inferior to an auction that involves mixed bundling

correlated information and mechanism design in models of asymmetric information possession of private information leads to rents for the possessors this induces mechanism designers to distort away from efficiency the authors show that this is an artifact of the presumption that information is independently distributed rent extraction in a large class of mechanism design games is analyzed and a necessary and sufficient condition for arbitrarily small rents to private information is provided additionally the two person bargaining game is shown to have an efficient solution under first order stochastic dominance and a hazard rate condition similar conditions allow full rent extraction in milgrom weber auctions

the economic value of co movement between oil price and exchange rate using copula based garch models article i nfo the us dollar is used as the primary currency of international crude oil trading as such the recent substantial depreciation in the us dollar has resulted in a corresponding increase in crude oil prices in addition oil price and exchange rate returns have been shown to be skewed and leptokurtic and to exhibit an asymmetric or tail dependence structure therefore this study proposes dynamic copula based garch models to explore the dependence structure between the oil price and the us dollar exchange rate more importantly an asset allocation strategy is implemented to evaluate economic value and confirm the efficiency of the copula based garch models in terms of out of sample forecasting performance a dynamic strategy based on the cgarch model with the student t copula exhibits greater economic benefits than static and other dynamic strategies in addition the positive feedback trading activities are statistically significant within the oil market but this information does not enhance the economic benefits from the perspective of an asset allocation decision finally a more risk averse investor generates a higher fee for switching from a static strategy to a dynamic strategy based on copula based garch models

gaussian demand and commodity bundling in an important and widely cited essay adams and yellen 1976 examine the use of package selling as a price discrimination device they consider a monopolist producing two goods with constant unit costs and facing buyers with diverse tastes the marginal utility of a second unit of either good is assumed to be zero for all buyers the two goods are independent in demand for all buyers so that any buyer s reservation price for the first unit of either good is independent of the market price of the other thus the maximum amount any buyer would pay for a bundle consisting of one unit of each good is the sum of the two reservation prices and buyers are completely described by the values of those two prices 2 resale markets are assumed away in order to obtain comparative results for alternative pricing strategies the distribution of reservation prices in the adams yellen framework is assumed to be bivariate normal implications of gaussian demand are explored pure bundling is shown to operate by reducing buyer diversity thus facilitating the capture of consumers surplus it generally makes buyers worse off than unbundled sales it is more profitable if average reservation prices are high enough mixed bundling combines advantages of both pure bundling and unbundled sales and it is generally strictly more profitable than either bundling which treats goods symmetrically seems most attractive under symmetric reservation price distributions i am indebted to severin borenstein for superb research assistance to the ford motor company for research support through a grant to m i t and to the harvard economics department for housing me as a visiting scholar while most of this research was performed of course only i can be held responsible for this essay s shortcomings 1 the first clear recognition of this possibility seems to have been by stigler 1968 but also see burstein 1960 2 paroush and peles 1981 relax the assumption that consumers purchase at most one unit of each good but they consider only two types of buyers both with linear demand functions they retain the assumption that demands are independent for all buyers telser 1979 and phillips 1981 use different frameworks to analyze bundling policies spence 1980 explores the relation between bundling across commodities as here and bundling multiple units of the same

world oil prices precious metal prices and macroeconomy in turkey we examine the long and short run transmissions of information between the world oil price turkish interest rate turkish lira us dollar exchange rate and domestic spot gold and silver price we find that the world oil price has no predictive power of the precious metal prices the interest rate or the exchange rate market in turkey the results also show that the turkish spot precious metals exchange rate and bond markets do not also provide information that would help improve the forecasts of world oil prices in the long run the findings suggest that domestic gold is also considered a safe haven in turkey during devaluation of the turkish lira as it is globally it is interesting to note that there does not seem to be any significant influence of developments in the world oil markets on turkish markets in the short run either however transitory positive initial impacts of innovations in oil prices on gold and silver markets are observed the short run price transmissions between the world oil market and the turkish precious metal markets have implications for policy makers in emerging markets and both local and global investors in the precious metals market and the oil market

on the accuracy of time series interest rate and survey forecasts of inflation there has been much work examining and evaluating different methodologies in forecasting inflation for example fama 1975 1977 develops an interest rate model to predict the 1 monthahead rate of inflation using the cpi fama and gibbons 1982 1984 modify the interest rate model to account for a nonconstant real rate of interest and compare it to a univariate timeseries forecasting model and to the livingston forecasts carlson 1977a 1977b and others also analyze the consensus forecasts from the livingston survey pertaining to multiperiod forecasts of inflation pearce 1979 considered the livingston survey and time series forecasts our purpose in this paper is to investigate further the relative forecasting ability of three different methodologies in contrast to previous studies that have generally used the cpi to measure inflation our analysis uses the implicit gnp deflator this modification is motivated largely by the fact that calculations of the cpi inflat n rate often are distorted greatly by changes in relative prices e g blinder 1980 fischer 1981 this paper compares the accuracy of three different inflation forecasting procedures these include a univariate time series model an interest rate model based on the methodology of fama and gibbons and the median forecasts derived from the american statistical association national bureau of economic research survey the evidence presented is based on ex ante forecasts of quarterly inflation rates using the gnp deflator for the period 1970 11984 11 based on the evidence presented the general conclusion is that the survey forecasts provide the most accurate inflation forecasts

do oil prices respond to real interest rates abstract we show that the robustness of an inverse relationship between the real interest rate and real oil price depends crucially on how the real interest rate is calculated and the time frame of the sample consistent with earlier studies we find that the oil price falls with an unexpected rise in either u s or international ex ante real interest rates when the ex post real interest rate is used the oil price only falls with rises to short term rates 3 months or less additionally the response of the oil price to long term ex ante real interest rates must include the period through the mid 2000s for the inverse relationship to appear in contrast the oil price consistently falls with unexpected rises in short term real interest rates throughout the entire sample we draw two conclusions from the results the first is that the oil price is consistently responsive to short term u s and international real interest rates underlying the importance of storage second oil prices have become more responsive to long term real interest rates over time

understanding the oil price exchange rate nexus for the fiji islands in this paper we examine the relationship between oil price and the fiji us exchange rate using daily data for the period 2000 2006 we use the generalised autoregressive conditional heteroskedasticity garch and exponential garch egarch models to estimate the impact of oil price on the nominal exchange rate we find that a rise in oil prices leads to an appreciation of the fijian dollar vis a vis the us dollar

approximately optimal auctions for correlated bidders abstract we consider the design of dominant strategy incentive compatible revenue maximizing auctions for an indivisible good when bidders values are drawn from a correlated distribution for independent distributions myerson showed that the optimal auction for risk neutral bidders remains incentive compatible regardless of bidders risk attitudes we show that for correlated distributions the same is true when only two bidders are involved whereas for more bidders randomization can generate strictly more revenue however for risk neutral bidders we show this gain is never more than a 5 3 factor this is a consequence of two results of independent interest 1 a polynomial time derandomization of auctions for two bidders 2 a polynomial time computable deterministic auction that 5 3 approximates the optimal revenue extractable from risk neutral bidders moreover we give a polynomial time algorithm to compute optimal auctions for a constant number of bidders and for any number of bidders we give polynomial time algorithms with approximation factors arbitrarily close to 3 2

the empirical relationship between energy futures prices and exchange rates abstract this paper investigates the interaction between energy futures prices and exchange rates results are presented to show that futures prices for crude oil heating oil and unleaded gasoline are co integrated with a trade weighted index of exchange rates this is important because it means that there exists a long run equilibrium relationship between these four variables granger causality results for both the long and short run are presented evidence is also presented that suggests exchange rates transmit exogenous shocks to energy futures prices

optimal bundling under imperfect competition abstract this paper examines the profitability of bundling for a two product seller of differentiated products facing competition from a one product rival in the presence of imperfect competition pure bundling emerges as the optimal pricing strategy other than ensuring the monopoly product can only be purchased in a bundle pure bundling s additional advantages stand in its ability to i prevent consumers from forming their own bundle using the single product seller s product ii reduce aggressiveness in pricing and iii smooth over the variation in valuations consumers have for the two types of products however the profit maximizing strategy is not welfare maximizing consumers are best off when all products are available a la carte only the competitor maximizes profits under mixed bundling and total welfare would be highest if the two product supplier were to offer only the monopoly product a la carte

commodity prices interest rates and the dollar this paper sheds light on recent fluctuations in commodity prices we investigate whether a decline in real interest rates and the us dollar contributes to higher commodity prices and whether commodity prices display overshooting behavior in response to changes in real interest rates we analyze the behavior of real prices of crude oil food metals and industrial raw materials the analysis is based on structural var models estimated on quarterly data over the period 1990q1 2007q4 our results suggest that commodity prices increase significantly in response to reductions in real interest rates moreover oil prices and prices of industrial raw materials tend to display overshooting behavior in response to such interest rate changes the evidence also suggests that a weaker dollar leads to higher commodity prices shocks to interest rates and the dollar are found to account for substantial shares of fluctuations in commodity prices

econometric modeling of regional electricity spot prices in the australian market abstract wholesale electricity markets are increasingly integrated via high voltage interconnectors and inter regional trade in electricity is growing to model this we consider a spatial equilibrium model of price formation where constraints on inter regional flows result in three distinct equilibria in prices we use this to motivate an econometric model for the distribution of observed electricity spot prices that captures many of their unique empirical characteristics the econometric model features supply and inter regional trade cost functions which are estimated using bayesian monotonic regression smoothing methodology a copula multivariate time series model is employed to capture additional dependence both cross sectional and serial in regional prices the marginal distributions are nonparametric with means given by the regression means the model has the advantage of preserving the heavy right hand tail in the predictive densities of price we fit the model to half hourly spot price data in the five interconnected regions of the australian national electricity market the fitted model is then used to measure how both supply and price shocks in one region are transmitted to the distribution of prices in all regions in subsequent periods finally to validate our econometric model we show that prices forecast using the proposed model compares favorably with those from some benchmark alternatives

bayesian and dominant strategy implementation in the independent private values model we prove in the standard independent private values model that the outcome in terms of interim expected probabilities of trade and interim expected transfers of any bayesian mechanism can also be obtained with a dominant strategy mechanism

optimal bundle formation and pricing of two products with limited stock abstract in this study we consider the stochastic modeling of a retail firm that sells two types of perishable products in a single period not only as independent items but also as a bundle our emphasis is on understanding the bundling practices on the inventory and pricing decisions of the firm one of the issues we address is to decide on the number of bundles to be formed from the initial product inventory levels and the price of the bundle to maximize the expected profit product demands follow a poisson process with a price dependent rate customer reservation prices are assumed to have a joint distribution we study the impact of reservation price distributions initial inventory levels product prices demand arrival rates and cost of bundling we observe that the expected profit decreases as the correlation between the reservation prices of two products increases with negative correlation bundling cost has a significant impact on the number of bundles formed when the product prices are low the retailer sells individual products as well as the bundle mixed bundling when they are high the retailer sells only bundles pure bundling the expected profit and the number of bundles offered decrease as the variance of the reservation price distribution increases for high starting inventory levels the retailer reduces bundle price and offers more bundles the number of bundle sales decreases and the number of individual product sales increases when the arrival rate increases since the need for bundling decreases impacts of substitutability and complementarity of products are also investigated the retailer forms more bundles or charges higher prices for the bundle or both as the products become more complementary and less substitutable

oil shocks and aggregate macroeconomic behavior the role of monetary policy hamilton and herrera hh have provided an interesting comment on our 1997 paper bernanke gertler and watson 1997 bgw we take the opportunity offered to us by the editors to respond briefly the goal of bgw was to show that the magnitude and shape of the economy s response to a particular exogenous shock will typically depend critically on how monetary policy makers choose to react to the shock as a consequence we argued that assessments of the importance of monetary policy for real activity should take into account the systematic portion of policy i e the policy rule as well as the unsystematic component i e monetary policy shocks the specific type of exogenous shock that we considered in bgw was a sharp increase in the price of oil of the magnitude observed during several episodes in the 1970s using a modified var framework we considered counterfactual scenarios in which monetary policy represented by the level of the federal funds rate does not respond to an oil price shock we found that the adverse effects of an oil price shock on output are reduced considerably when the endogenous response of the funds rate is shut off indeed our point estimates suggested that the endogenous response of monetary policy accounted for virtually all the negative impact of the oil shock on this research was funded in part by nsf grants to each of the authors we thank michele cavallo for research assistance

why firms may prefer not to price discriminate via mixed bundling abstract we analyze a simple model of joint purchase discounts using a discrete choice framework to characterize consumer choices the model suggests that mixed bundling is more likely to be associated with monopoly this is due to the benefits reaped via price discrimination in a duopoly environment however only pure components pricing may be offered in equilibrium since firms fear the extra degree of competition inherent in mixed bundling

equilibrium product bundling this article offers an equilibrium theory of product bundling by rival firms in several models where a primary good is produced in a duopoly market and one or more other goods is produced under perfectly competitive conditions bundling is shown to emerge as an equilibrium strategy of one or both of the duopolists for its role as a product differentiation device when the rival firms can commit to bundling sales their profits are higher but social welfare is reduced copyright 1997 by university of chicago press

pricing of long dated commodity derivatives do stochastic interest rates matter abstract does modelling stochastic interest rates beyond stochastic volatility improve pricing performance on long dated commodity derivatives to answer this question we consider futures price models for commodity derivatives that allow for stochastic volatility and stochastic interest rates and a correlation structure between the underlying variables we examine the empirical pricing performance of these models on pricing long dated crude oil derivatives estimating the model parameters from historical crude oil futures prices and option prices we find that stochastic interest rate models improve pricing performance on long dated crude oil derivatives when the interest rate volatility is relatively high furthermore increasing the model dimensionality does not tend to improve the pricing performance on long dated crude oil option prices but it matters for long dated futures prices we also find empirical evidence for a negative correlation between crude oil futures prices and interest rates that contributes to improving fit to long dated crude oil option prices

a graphical analysis of bundling by comparing the demand for a bundle and the vertical sum of the demands for its components this article analyzes the profitability and welfare consequences of bundling if it does not lower costs bundling tends to be profitable when reservation values are negatively correlated and high relative to costs if bundling lowers costs and costs are high relative to average reservation values positively correlated reservation values increase the incentive to bundle bundling and charging a price equal to the sum of the components prices lowers consumer surplus bundling can however increase consumer surplus when it results in lower prices copyright 1995 by university of chicago press

willingness to pay estimation with choice based conjoint analysis addressing extreme response behavior with individually adapted designs the increasing consideration of behavioral aspects in operations management models has prompted greater use of choice based conjoint cbc studies in operations research such studies can elicit consumers willingness to pay wtp a core input for many optimization models however optimization models can yield valid results only if consumers wtp is estimated accurately a simulation study and two field studies show that extreme response behavior in cbc studies such that consumers always or never choose the no purchase option harms the validity of wtp estimates reporting the share of consumers who always and never select the no purchase option allows for detecting extreme response behavior this study suggests an individually adapted design that avoids extreme response behavior and thus significantly improves wtp estimation accuracy

bundling with customer self selection a simple approach to bundling low marginal cost goods with declining costs of distributing digital products comes renewed interest in strategies for pricing goods with low marginal costs in this paper we evaluate customized bundling a pricing strategy that gives consumers the right to choose up to a quantity m of goods drawn from a larger pool of n different goods for a fixed price we show that the complex mixed bundle problem can be reduced to the customized bundle problem under some commonly used assumptions we also show that for a monopoly seller of low marginal cost goods this strategy outperforms individual selling m 1 and pure bundling m n when goods have a positive marginal cost or when customers have heterogeneous preferences over goods comparative statics results also show that the optimal bundle size for customized bundling decreases in both heterogeneity of consumer preferences over different goods and marginal costs of production we further explore how the customized bundle solution is affected by factors such as the nature of distribution functions in which valuations are drawn the correlations of values across goods and the complementarity or substitutability among products altogether our results suggest that customized bundling has a number of advantages both in theory and practice over other bundling strategies in many relevant settings

multiproduct monopoly commodity bundling and correlation of values through what selling strategy can a multiproduct monopolist maximize his profits when his knowledge about individual consumers preferences is limited one possibility extensively studied in the context of a single good monopoly is to use quantity dependent pricing as a means of discriminating among customers with differing tastes see for example oi 1971 and maskin and riley 1984 an alternative technique for price discrimination first suggested by stigler 1968 and analyzed further by adams and yellen 1976 is for the monopolist to package two or more products in bundles rather than selling them separately through a series of examples adams and yellen illustrate that bundling can serve as a useful price discrimination device even when all consumers willingnesses to pay for each of the goods individually are unaffected by whether they are also consuming the other product a typical example is illustrated in figure i adapted from figure iv in adams and yellen where there are two goods three consumers ab c who consume at most one unit of each good with reservation values for each good that are independent of whether the other good is consumed and zero costs of production there a bundle offered at a price of 100 fully extracts all potential surplus which would be impossible pricing the goods independently unfortunately though these authors do not provide any general characterization of the circumstances in which bundling is actually a multiproduct monopolist s optimal strategy their examples however such as figure i create the impression that the profitable use of bundling

relationship between oil price and exchange rate by fda and copula this article investigates the relationship between daily crude oil prices and exchange rates functional data analysis is used to show the clustering pattern of exchange rates and oil prices over the time period through high dimensional visualizations we select exchange rates for important currencies related to crude oil prices by using the objective bayesian variable selection method the selected sample data exhibits non normal distribution with fat tails and skewness under the non normality of the return series we use copula functions that do not require to assume the bivariate normality to consider marginal distribution in particular our study applies the popular and powerful statistical methods such as gaussian copula partial correlations and gaussian copula marginal regression we find evidence of significant dependence for all considered pairs except for the mexican peso brent our empirical results also show that the rise in the west texas intermediate wti oil price returns is asso

expectations and commodity price dynamics the overshooting model monetary policy has important effects on agricultural commodity prices because though they are flexible other goods prices are sticky this paper formalizes the argument by applying the dornbusch overshooting model a decline in the nominal money supply is a decline in the real money supply in the short run it raises the real interest rate which depresses real commodity prices they overshoot their new equilibrium in order to generate an expectation of future appreciation sufficient to offset the higher interest rate these real effects which vanish in the long run also result from a decline in the money growth rate

optimal multi object auctions this paper analyses optimal auctions of several objects in the first model bidders have a binary distribution over their valuations for each object in which case the optimal auction is efficient the optimal auction takes one of two formats either objects are sold in independent auctions or a degree of bundling is introduced in the sense that the probability a bidder wins one object is increasing in her value for the other the format of the optimal auction may depend upon the number of bidders in the second model the restriction to binary distributions is relaxed and the optimal auction is then inefficient

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