strategic capacity rationing to induce early purchases dynamic pricing offers the potential to increase revenues at the same time it creates an incentive for customers to strategize over the timing of their purchases a firm should ideally account for this behavior when making its pricing and stocking decisions in particular we investigate whether it is optimal for a firm to create rationing risk by deliberately understocking products then the resulting threat of shortages creates an incentive for customers to purchase early at higher prices but when does such a strategy make sense if it is profitable to create shortages what is the optimal amount of rationing risk to create we develop a stylized model to study this problem in our model customers have heterogeneous valuations for the firm s product and face declining prices over two periods customers are assumed to have identical risk preferences and know the price path and fill rate in each period via its capacity choice the firm is able to control the fill rate and hence the rationing risk faced by customers customers behave strategically and weigh the payoff of immediate purchases against the expected payoff of delaying their purchases we analyze the capacity choice that maximizes the firm s profits first we consider a monopoly market and characterize conditions under which rationing is optimal we examine how the optimal amount of rationing is affected by the magnitude of price changes over time and the degree of risk aversion among customers we then analyze an oligopoly version of the model and show that competition reduces the firms ability to profit from rationing indeed there exists a critical number of firms beyond which a rationing equilibrium cannot be supported

dynamic price competition with fixed capacities in this paper we study price competition for an oligopoly in a dynamic setting where each of the sellers has a fixed number of units available for sale over a fixed number of periods demand is stochastic and depending on how it evolves sellers may change their prices at any time this reflects the fact that firms constantly and almost costlessly change their prices reacting to updates in their estimates of market demand competitor prices or inventory levels in a setting with demand uncertainty we show that there is a unique subgame perfect equilibrium for a duopoly in which all states sellers engage in bertrand competition and the seller with the lower equilibrium reservation value sells a unit at a price equal to the competitor s equilibrium reservation value this structure therefore extends the marginal value concept of bid price control used in many revenue management implementations to a competitive model we give a closed form solution to the equilibrium price paths for a duopoly and extend all the results to an n firm oligopoly we then study extensions to multiple customer types uncertain valuations and differentiated products this paper was accepted by martin lariviere operations management

optimal dynamic pricing of inventories with stochastic demand over finite horizons in many industries managers face the problem of selling a given stock of items by a deadline we investigate the problem of dynamically pricing such inventories when demand is price sensitive and stochastic and the firm s objective is to maximize expected revenues examples that fit this framework include retailers selling fashion and seasonal goods and the travel and leisure industry which markets space such as seats on airline flights cabins on vacation cruises and rooms in hotels that become worthless if not sold by a specific time we formulate this problem using intensity control and obtain structural monotonicity results for the optimal intensity resp price as a function of the stock level and the length of the horizon for a particular exponential family of demand functions we find the optimal pricing policy in closed form for general demand functions we find an upper bound on the expected revenue based on analyzing the deterministic version of the problem and use this bound to prove that simple fixed price policies are asymptotically optimal as the volume of expected sales tends to infinity finally we extend our results to the case where demand is compound poisson only a finite number of prices is allowed the demand rate is time varying holding costs are incurred and cash flows are discounted the initial stock is a decision variable and reordering overbooking and random cancellations are allowed

optimal dynamic price selection under attraction choice models abstract we present a single resource finite horizon markov decision process approach for a firm that seeks to maximize expected revenues by dynamically adjusting the menu of offered products and their prices to be selected from a finite set of alternative values predetermined as a matter of policy consumers choose among available products according to an attraction choice model a special but widely applied class of discrete choice models the fractional substructure inherent to attraction choice models enables the derivation of structural properties that significantly simplify the computation of an optimal policy we show that the more capacity or less time is remaining the lower are the optimal prices we develop an exact solution procedure for preprocessing and recursively solving price selection problems that clearly outperforms current revenue management approaches with respect to computational complexity furthermore we demonstrate that the potential revenue improvements from dynamic compared to fixed pricing can be significant ranging from 4 5 up to 149 for selected examples from the literature extensions to multiple resources and to related discrete choice models are discussed

optimal dynamic pricing for perishable assets with nonhomogeneous demand we consider a dynamic pricing model for selling a given stock of a perishable product over a finite time horizon customers whose reservation price distribution changes over time arrive according to a nonhomogeneous poisson process we show that at any given time the optimal price decreases with inventory we also identify a sufficient condition under which the optimal price decreases over time for a given inventory level this sufficient condition requires that the willingness of a customer to pay a premium for the product does not increase over time in addition to shedding managerial insight these structural properties enable efficient computation of the optimal policy numerical studies are conducted to show the revenue impact of dynamic price policies price changes are set to compensate for statistical fluctuations of demand and to respond to shifts of the reservation price for the former our examples show that using optimal dynamic optimal policies achieves 2 4 7 3 revenue improvement over the optimal single price policy for the latter the revenue increase can be as high as 100 these results explain why yield management has become so essential to fashion retailing and travel service industries

will dynamic pricing outperform theoretical analysis and empirical evidence from o2o on demand food service market abstract this study attempts to identify the pricing strategy of three most commonly used on demand food service platforms in china based on detailed information of more than 240 000 orders and further evaluates the impact of pricing strategy on platform performance we find that some platforms adopt dynamic pricing strategies while other platforms adopt static pricing strategies considering the unique structure of the o2o on demand food service market in china we develop a dyadic two sided market theory and demonstrate that compared with static pricing strategies dynamic pricing strategies perform better consistent with our theory our empirical analysis also suggests that platforms adopting dynamic pricing strategies have a significantly higher level of demand compared with platforms adopting static strategies in addition our results indicate the importance of delivery speed red envelopes and ratings in promoting demand

the hidden information content of price movements dynamic patterns of prices in different markets may motivate strategic consumers who could be monitoring price movements over time to game vendors do past price movements carry information about the probability and magnitude of future price drops conducting empirical work in the airline industry on near 1000 us domestic routes we find that some price metrics carry information about future price swings these variables can assist in predicting the likelihood and magnitude of price drops these price metrics yield significantly different signals which also vary as the prediction horizon changes

welfare impacts of electricity generation sector reform in the philippines abstract this paper reports an empirical investigation into the welfare impacts of the introduction of private sector participation into the philippines electricity generation sector by liberalizing the market for independent power producers ipps during the power crisis of 1990 1993 this study uses a social cost and benefit analysis the main benefits came from ipps who contributed to resolving the crisis and promoted economic and social development consumers and investors were net gainers while the government lost and there was an air pollution cost the paper concludes that the reform with private sector participation increased social welfare

retail pricing and clearance sales sellers of new products are faced with having to guess demand conditions to set price appropriately but sellers are able to adjustprice over time and to learn from past mistakes additionally it is not necessary that all goods be sold with certainty it is sometimes better to set a high price and to risk no sale this process is modeledto explain retail pricing behavior and the time distribution of transactions prices start high and fall as a function of time on theshelf the initial price and rate of decline can be predicted and depends on thinness of the market the proportion of customers who are window shoppers and other observable characteristics copyright 1986 by american economic association

do structural oil market shocks affect stock prices abstract this paper investigates how explicit structural shocks that characterize the endogenous character of oil price changes affect stock market returns in a sample of eight countries australia canada france germany italy japan the united kingdom and the united states for each country the analysis proceeds in two steps first modifying the procedure of kilian kilian l forthcoming not all oil price shocks are alike disentangling demand and supply shocks in the crude oil market american economic review we employ a vector error correction or vector autoregressive model to decompose oil price changes into three components oil supply shocks global aggregate demand shocks and global oil demand shocks the last component relates to specific idiosyncratic features of the oil market such as changes in the precautionary demand concerning the uncertainty about the availability of future oil supplies second recovering the oil supply shocks global aggregate demand shocks and global oil demand shocks from the first analysis we then employ a vector autoregressive model to determine the effects of these structural shocks on the stock market returns in our sample of eight countries we find that international stock market returns do not respond in a large way to oil market shocks that is the significant effects that exist prove small in magnitude

does oil move equity prices a global view many studies indicate that oil price shocks have an adverse effect on real output and hence an adverse effect on corporate profits where oil is used as a key input the present study examines whether and to what extent the adverse effect of oil price shocks impacts stock market returns to this end we analyse 35 datastream global industry indices for the period from april 1983 to september 2005 our findings indicate that oil price rises have a negative impact on equity returns for all sectors except mining and oil and gas industries generally these results are consistent with economic theory and evidence provided by previous empirical studies little evidence of any asymmetry is detected in the oil price sensitivities in light of our findings we recommend that international portfolio investors consider hedging oil price risk

strategic and operational decisions in restaurant revenue management abstract the paper addresses restaurant revenue management from both a strategic and an operational point of view strategic decisions in restaurants are mainly related to defining the most profitable combination of tables that will constitute the restaurant we propose new formulations of the so called tables mix problem by taking into account several features of the real setting we compare the proposed models in a computational study showing that restaurants with the capacity of managing tables as renewable resources and of combining different sized tables can improve expected revenue performances operational decisions are mainly concerned with the more profitable assignment of tables to customers indeed the parties mix problem consists of deciding on accepting or denying a booking request from different groups of customers with the aim of maximizing the total expected revenue a dynamic formulation of the parties mix problem is presented together with a linear programming approximation whose solutions can be used to define capacity control policies based on booking limits and bid prices computational results compare the proposed policies and show that they lead to higher revenues than the traditional strategies used to support decision makers

adaptive ordering and pricing for perishable products we consider the combined problem of pricing and ordering for a perishable product with unknown demand distribution and censored demand observations resulting from lost sales faced by a monopolistic retailer we develop an adaptive pricing and ordering policy with the asymptotic property that the average realized profit per period converges with probability one to the optimal value under complete information on the distribution the pricing mechanism is modeled as a multiarmed bandit problem while the order quantity decision made after the price level is established is based on a stochastic approximation procedure with multiplicative updates

electricity supply reliability estimating the value of lost load the office of electricity regulation offer reviews the performance of electricity distribution companies on reliability of supply while physical indicators of supply reliability such as number of outages and minutes of electricity lost per customer per year are readily available little is known about the monetary value placed on supply reliability by customers this paper briefly reviews different methods to derive monetary values of power interruptions avoided before arguing that a method which values the lost utility to consumers from outages is the most appropriate a contingent ranking method is used to derive such lost utility values from a survey of industrial firms the value customers place on outages avoided is higher than that currently used in appraisals of infrastructure investment and in the determination of electricity prices in the uk

demand uncertainty and sales a study of fashion and markdown pricing the theory of clearance sales is expanded and applied to explain why markups markdowns and the frequency of sales of merchandise sold by department stores have increased dramatically in recent years and why they differ across merchandise groups tha major theme of the paper is that the growing role of fashion and product variety is an important reason for these increases and for the differences between merchandise groups the growing importance of fashion is illustrated by documenting the declining use of whites and the increasing use of colors and prints estimates of the effects of imports and technological and demographic changes on markups and markdowns are presented copyright 1988 by american economic association

the distributional impact of price changes in hungary and the united kingdom in soviet type economies commodity prices were distorted as part of the redistributive system of the state but with the transition prices have been liberalized and taxes made more uniform has this change adversely affected the distribution of purchasing power this paper develops a new method of measuring the distributional impact of price changes by computing the distributional characteristics of commodities from household budget survey data and applies it to hungary and the united kingdom finding that the distributional impacts over the past decade were negligible and not significantly different from zero in both cases copyright 1995 by royal economic society

oil and the macroeconomy since world war ii all but one of the u s recessions since world war ii have been preceded typically with a lag of around three fourths of a year by a dramatic increase in the price of crude petroleum this does not mean that oil shocks caused these recessions evidence is presented however that even over the period 1948 72 this correlation is statistically significant and nonspurious supporting the proposition that oil shocks were a contributing factor in at least some of the u s recessions prior to 1972 by extension energy price increases may account for much of post opec macroeconomic performance

crude oil and the macroeconomy tests of some popular notions a note perhaps no other economic events in the post world war ii era have generated as much attention as the series of crude oil price shocks that have jolted the world economy since the opec boycott of 1973 a tremendous amount of space in the popular and professional literature has been devoted to analyzing the impacts of these shocks on the developed economies and the adjustments these shocks have induced one residual of this literature has been a general impression that since 1973 the functional relationship between crude oil prices and the developed macroeconomies has been dramatically and fundamentally altered yet to our knowledge no one has formally tested this impression recent evidence of hamilton 1983 suggests that crude oil prices had a strong impact on the u s business cycle well before 1973 further while textbook treatments of oil price shocks tend to highlight cost push inflationary effects the research of berndt and wood 1975 1979 and wilcox 1983 indicates the net complementarity between energy and capital in the u s economy is quite strong both before and after 1973 thus oil price shocks may have stronger real effects than generally believed in this paper we formally test three popular notions associated with the so called

optimal minimum bids and inventory scrapping in sequential single unit vickrey auctions with demand learning abstract retailers often conduct sequential single unit auctions and need to decide the minimum bid in each auction to reduce inventory costs it may be optimal to scrap some of the inventory rather than holding it until it is auctioned off in some auctions the seller may be uncertain about the market response and hence may want to dynamically learn the demand by observing the number of posted bids we formulate a markov decision process mdp to study this dynamic auction design problem under the vickrey mechanism we first develop a clairvoyant model where the seller knows the demand distribution we prove that it is optimal to scrap all inventory above a certain threshold and then auction the remaining units we derive a first order necessary condition whereby the bidders virtual value at an optimal minimum bid equals the seller s marginal profit this is a generalization of riley and samuelson s result from the one single unit auction case when the virtual value is strictly increasing this necessary condition is also sufficient and leads to a structured value iteration algorithm we then assume that the number of bidders is poisson distributed but the seller does not know its mean the seller uses a mixture of gamma prior on this mean and updates this belief over several auctions this results in a high dimensional bayesian mdp whose exact solution is intractable we therefore propose and compare two approximation methods called certainty equivalent control cec and q function approximation numerical experiments suggest that q function approximation can attain higher revenues than cec

the role of policy in energy transitions lessons from the energy liberalisation era the aim of this paper is to discuss the period of energy privatisation and liberalisation which began in the 1980s within its wider historical context the key issues are what has been learned from this recent period and how significant is it in the light of an energy transition to low carbon energy system by 2050 energy liberalisation has led to positive and globally widespread but modest efficiency gains but a lack of clearly visible direct benefits to households in many countries it has significantly improved the governance of monopoly utilities via independent regulators the prospects for competition and innovation and the quality of policy instruments for environmental emissions control through the emergence of trading mechanisms we conclude that it is not liberalisation per se that will determine the movement towards a low carbon energy transition but the willingness of societies to bear the cost which will be significant no matter what the extent of liberalisation

winners and losers from the privatization and regulation of utilities lessons from a general equilibrium model of argentina a computable general equilibrium cqe model is used to estimate the macroeconomic and distributional effects of the privatization and regulation of utilities in argentina begun in 1989 based on data available after the privatization that indicate different kinds of efficiency gains in electricity gas water and telecommunications both the privatization and effective regulation are estimated to yield significant macroeconomic benefits gains from the privatization accrue mainly to high income classes while gains from the effective regulation of newly privatized utilities accrue mainly to low income classes computable general equilibrium cge estimates of overall employment effects suggest that privatization was not a major contributor to the dramatic rise in unemployment in argentina between 1993 and 1995 this rise was more likely due to the tequila effect of an interest rate shock

price discrimination through refund contracts in airlines this paper shows how an airline monopoly uses refundable and non refundable tickets to screen consumers who are uncertain about their travel our theoretical model predicts that the difference between these two fares diminishes as individual demand uncertainty is resolved using an original data set from u s airline markets we find strong evidence supporting our model price discrimination opportunities through refund contracts decline as the departure date nears and individuals learn about their demand

monopolist pricing with dynamic demand and production cost this paper deals with pricing of a new product over time by a monopolist who maximizes the discounted profit stream the interdependency of cost and demand on cumulative production makes the problem inherently dynamic cost is assumed to be declining with cumulative production learning curve effect while demand is a function of price and cumulative sales representing word of mouth and saturation effects the paper addresses this problem in a general framework that includes several previous results as special cases and provides new insights in other situations while the learning curve and word of mouth effect cause prices to be lower than the price that maximizes immediate revenues the saturation factor has the opposite effect the price path over time is affected by these factors and the interest rate we characterize the price path under several different situations and interpret the results for policy guidelines

revenue sharing in airline alliances we propose a two stage game theoretic approach to study the operations of an airline alliance in which independent carriers managing different reservation and information systems can collaboratively market and operate codeshare and interline itineraries in the first stage game airlines negotiate fixed proration rates to share the revenues generated by such itineraries in the second stage game airlines operate independent inventory control systems to maximize their own expected revenues we derive a revenue sharing rule that is i an admissible outcome of the first stage negotiation in the sense that no airline coalition has enough incentives to secede from the grand alliance and ii efficient for the second stage game in the sense that the decentralized system can achieve the same revenues as a central planner managing the global alliance network our numerical study shows that the proposed proration rates can lead to a significant increase in revenues with respect to other rules commonly used

optimal inventory policies when purchase price and demand are stochastic in this paper we consider the problem of a firm that faces a stochastic poisson demand and must replenish from a market in which prices fluctuate such as a commodity market we describe the price evolution as a continuous stochastic process and we focus on commonly used processes suggested by the financial literature such as the geometric brownian motion and the ornstein uhlenbeck process it is well known that under variable purchase price a price dependent base stock policy is optimal using the single unit decomposition approach we explicitly characterize the optimal base stock level using a series of threshold prices we show that the base stock level is first increasing and then decreasing in the current purchase price we provide a procedure for calculating the thresholds which yields closed form solutions when price follows a geometric brownian motion and implicit solutions under the ornstein uhlenbeck price model in addition our numerical study shows that the optimal policy performs much better than inventory policies that ignore future price evolution because it tends to place larger orders when prices are expected to increase

dynamic pricing when consumers are strategic analysis of posted and contingent pricing schemes abstract we study dynamic pricing policies for a monopolist selling perishable products over a finite time horizon to strategic buyers buyers are strategic in the sense that they anticipate the firm s price policies it is expensive and administratively difficult for most brick and mortar retailers to change prices placing limits on the number of price changes and the types of pricing policies they can adopt the simplest policy is to commit to a set of price changes a more complex alternative is to let the price depend on sales history we investigate two pricing schemes that we call posted and contingent pricing using the posted pricing scheme the firm announces a set of prices at the beginning of the horizon in the contingent pricing scheme price evolution depends upon demand realization our focus is on the posted pricing scheme because of its ease of implementation counter to intuition we find that neither a posted pricing scheme nor a contingent pricing scheme is dominant and the difference in expected revenues of these two schemes is small limiting the number of price changes will result in a decrease in expected revenues we show that a multi unit auction with a reservation price provides an upper bound for expected revenues for both pricing schemes numerical examples suggest that a posted pricing scheme with two or three price changes is enough to achieve revenues that are close to the upper bound dynamic pricing is only useful when strategic buyers perceive scarcity we study the impact of scarcity and derive the optimal stocking levels for large markets finally we investigate whether or not it is optimal for the seller to conceal inventory or sales information from buyers a firm benefits if it does not reveal the number of units it has available for sale at the beginning of the season or subsequently withholds information about the number of units sold

relationships between oil price shocks and stock market an empirical analysis from china this paper investigates the interactive relationships between oil price shocks and chinese stock market using multivariate vector auto regression oil price shocks do not show statistically significant impact on the real stock returns of most chinese stock market indices except for manufacturing index and some oil companies some important oil price shocks depress oil company stock prices increase in oil volatility may increase the speculations in mining index and petrochemicals index which raise their stock returns both the world oil price shocks and china oil price shocks can explain much more than interest rates for manufacturing index

a competitive dynamic pricing model when demand is interdependent over time abstract in this study we contribute to the dynamic pricing literature by developing a finite horizon model for two firms offering substitutable and nonperishable products with different quality levels customers can purchase and store the products even if they do not need them at the time in order to use them in future the stockpile of the products generated by customers affects the demand in future periods therefore the demand for each product not only is a function of prices and quality levels but also of the products stockpile levels in addition the stockpile levels change the customers consumption behavior more product in a stockpile leads to more consumption therefore we address not only the price and demand relationship but also the stockpiling and consumption relationship in a competitive environment the decision variable of each firm at the beginning of each period is its unit sale price we use a deterministic dynamic program to calculate the equilibrium prices at the beginning of each period by assuming that the market stockpile is public information we show the existence of a unique nash equilibrium we next consider the case when the firms do not know the market stockpile we then develop appropriate heuristics to calculate the optimal prices in each case a numerical study is also provided to calculate the price levels in different scenarios and compare their performances

transformation of optimization problems in revenue management queueing system and supply chain management abstract for revenue optimization problems in the literature on revenue management supply chain management and queueing systems some assumptions such as concavity of revenue functions or increasing generalized failure rate are often needed to ensure the problems to be analytically tractable we show that these assumptions are not necessary for this we present and study a parametric revenue maximization problem to unify some problems in the literature without the usual assumptions we transform the problem into an equivalent one where the revenue function is increasing continuous and concave we then apply the transformation method to a continuous time revenue management problem and conclude that the monotone results are robust to demand function and allowable price set also we apply the transformation method to study a parametric cost minimization problem we further apply our method to two optimal control problems in queueing systems and an inventory control problem in a supply chain with price only contract

clearance pricing and inventory policies for retail chains clearance pricing and end of season inventory management are challenging and important problems in retailing sales rates depend upon price seasonal effects and the remaining assortment of items available to customers there is little time to react to observed sales and pricing errors result in either loss of potential revenue or excess inventory to be liquidated this paper develops optimal clearance prices and inventory management policies that take into account the impact of reduced assortment and seasonal changes on sales rates versions of these policies have been tested and implemented at three major retail chains and these applications are summarized and discussed

quantity premiums and discounts in dynamic pricing we consider a dynamic pricing problem for a monopolistic company selling a perishable product when customer demand is both uncertain and occurs in batches that must be fulfilled as a whole the seller can price discriminate between different sized batches by setting different unit prices the problem is modeled as a stochastic optimal control problem to find an inventory contingent dynamic pricing policy that maximizes the expected total revenues we find the optimal pricing policy and prove several monotonicity results first we establish stochastic order conditions on the unit willingness to pay distributions that determine when quantity discounts or premiums take place for a batch purchase compared to a rapid sequence of purchases with the same total size second we give sufficient conditions for prices to be monotonically decreasing or increasing in inventory third we characterize the conditions for the perceived quantity discounts and premiums that result from comparing unit prices for different batch sizes under a particular inventory level

optimal starting times for end of season sales and optimal stopping times for promotional fares many industries face the problem of selling a fixed stock of items over a finite horizon these industries include airlines selling seats before planes depart hotels renting rooms before midnight theaters selling seats before curtain time and retailers selling seasonal goods such as air conditioners or winter coats before the end of the season given a fixed number of seats rooms or coats the objective for these industries is to maximize revenues in excess of salvage value when demand is price sensitive and stochastic pricing is an effective tool to maximize revenues in this paper we address the problem of deciding the optimal timing of a single price change from a given initial price to either a given lower or higher second price under mild conditions we show that it is optimal to decrease resp to increase the initial price as soon as the time to go falls below resp above a time threshold that depends on the number of yet unsold items

an analysis of bid price controls for network revenue management bid prices are becoming an increasingly popular method for controlling the sale of inventoryin revenue management applications in this form of control threshold or bid prices are set for the resources or units of inventory seats on flight legs hotel rooms on specific dates etc and a product a seat in a fare class on an itinerary or room for a sequence of dates is sold only if the offered fare exceeds the sum of the threshold prices of all the resources needed to supply the product this approach is appealing on intuitive and practical grounds but the theory underlying it is not well developed moreover the extent to which bid price controls represent optimal or near optimal policies is not well understood using a general model of the demand process we show that bid price control is not optimal in general and analyze why bid price schemes can fail to produce correct accept deny decisions however we prove that when leg capacities and sales volumes are large bid price controls are asymptotically optimal provided the right bid prices are used we also provide analytical upper bounds on the optimal revenue in addition we analyze properties of the asymptotically optimal bid prices for example we show they are constant over time even when demand is nonstationary and that they may not be unique

oil price shocks and stock markets in the u s and 13 european countries abstract oil price shocks have a statistically significant impact on real stock returns contemporaneously and or within the following month in the u s and 13 european countries over 1986 1 2005 12 norway as an oil exporter shows a statistically significantly positive response of real stock returns to an oil price increase the median result from variance decomposition analysis is that oil price shocks account for a statistically significant 6 of the volatility in real stock returns for many european countries but not for the u s increased volatility of oil prices significantly depresses real stock returns the contribution of oil price shocks to variability in real stock returns in the u s and most other countries is greater than that of interest rate an increase in real oil price is associated with a significant increase in the short term interest rate in the u s and eight out of 13 european countries within one or two months counter to findings for the u s and for norway there is little evidence of asymmetric effects on real stock returns of positive and negative oil price shocks for oil importing european countries

mathematical programming for network revenue management revisited mathematical programming models for airline seat inventory control provide booking limits and bid prices for all itineraries and fare classes e l williamson airline network seat inventory control methodologies and revenue impacts ph d thesis massachusetts institute of technology cambridge ma 1992 finds that simple deterministic approximation methods based on average demand often outperform more advanced probabilistic heuristics we argue that this phenomenon is due to a booking process that includes nesting of the fare classes which is ignored in the modeling phase the differences in the performance between these approximations are studied using a stochastic programming model that includes the deterministic model as a special case our study carefully examines the trade off between computation time and the aggregation level of demand uncertainty with examples of a multi leg flight and a single hub network

wavelet decomposition and regime shifts assessing the effects of crude oil shocks on stock market returns while there is a large body of empirical studies on the relationship between crude oil price changes and stock market returns they have failed to achieve a consensus on this subject in this paper we combine wavelet analysis and markov switching vector autoregressive ms var approach to explore the impact of the crude oil co shocks on the stock market returns for uk france and japan over the period from january 1989 to december 2007 our procedure involves the estimation of the extended ms var model in order to investigate the importance of the resultant wavelet filtering series after removing random components in determining the behavior of the stock market volatilities we show that co shocks do not affect the recession stock market phases except for japan however they significantly reduce moderate and or expansion stock market phases temporarily moreover this negative relationship appears to be more pronounced during the pre 1999 period the empirical findings will prove extremely useful to investors who need to understand the exact effect of international oil changes on certain stocks prices as well as for policy managers who need a more thorough evaluation about the efficiency of hedging policies affected by oil price changes

doing the right thing or doing the thing right allocating resources between marketing research and manufacturing matching production with sales potential is essential for survival in volatile markets manufacturing and marketing managers compete for staff space cash and other assets as they struggle both to determine what and how many products ought to be produced and to actually produce them we develop an analytical framework to answer one simple question how much marketing research should a firm do when it takes resources away from manufacturing the goods that generate revenue to understand the costs and benefits of marketing research we account for the lost opportunities to produce these goods some analytical findings are striking firms without initial knowledge of their potential customers should allocate one third of the firm s resources to marketing research the model suggests a host of issues to be more deeply studied by management scientists

dynamic pricing of multiple home delivery options abstract online grocers accept delivery bookings and have to deliver groceries to consumers residences grocery stores operate on very thin margins therefore a critical question that an online grocery store needs to address is the cost of home delivery operations in this paper we develop a markov decision process based pricing model that recognizes the need to balance utilization of delivery capacity by the grocer and the need to have the goods delivered at the most convenient time for the customer the model dynamically adjusts delivery prices as customers arrive and make choices the optimal prices have the following properties first the optimal prices are such that the online grocer gains the same expected payoff in the remaining booking horizon regardless of the delivery option independently chosen by a consumer second with unit order sizes delivery prices can increase due to dynamic substitution effects as there is less time left in the booking horizon

competitive strategies for two firms with asymmetric production cost structures we model joint production marketing strategies for two firms with asymmetric production cost structures in competition the first firm called the production smoother faces a convex production cost and a linear inventory holding cost the second firm called the order taker faces a linear production cost and holds no inventory each firm is assumed to vary continuously over time both its production rate and its price in view of an unstable surge pattern of demand the underlying theoretical motivation is to investigate the temporal nature of the equilibrium policies of two competing firms one operating at or near capacity the production smoother and one operating significantly below capacity the order taker we characterize and compare the equilibrium strategies of the two competing firms among our results we show that if the duopolistic production smoother finds it optimal to hold inventory then he will begin the season by building up inventory continue by drawing down inventory until i

systematic peak load pricing congestion premia and demand diverting empirical evidence abstract this paper finds empirical support to systematic peak load pricing in airlines higher fares in ex ante known congested periods it estimates a congestion premia and supports the main empirical prediction in gale and holmes gale i holmes t 1993 advance purchase discounts and monopoly allocation of capacity american economic review 83 135 146 less discount seats on peak flights

optimal pricing strategies for new products in dynamic oligopolies this paper deals with the determination of optimal pricing policies for firms in oligopolistic markets the problem is studied as a differential game and optimal pricing policies are established as nash open loop controls cost learning effects are assumed such that unit costs are decreasing with cumulative output discounting of future profits is also taken into consideration initially the problem is addressed in a general framework and we proceed to study some specific cases that are related to models presented in recent literature three basic classes of sales dynamics are analyzed competition with price effects only competition with price as well as adoption effects and competition with adoption effects only in some cases it turns out that results which hold for the monopoly case carry over to the multi firm case in the sense that the qualitative structure of optimal pricing strategies is the same in the monopoly and the oligopoly cases however due to competitive interdependencies differences certainly exist in the levels as well as the rates of change of optimal prices

why are products sold on sale explanations of pricing regularities this paper reports on interesting changes in markdown pricing practices over time and differences in the pricing within a product line the price discrimination and the uncertainty hypotheses appear to better explain the data than the peak load hypothesis fashion has become more important over time and appears to explain the greater seasonal variation in retail apparel prices in recent years differences in uncertainty also explains differences in the pricing of different types of men s dress shirts

oil prices stock markets and portfolio investment evidence from sector analysis in europe over the last decade this article extends the understanding of oil stock market relationships over the last turbulent decade unlike previous empirical investigations which have largely focused on broad based market indices national and or regional indices we examine short term linkages in the aggregate as well as sector by sector levels in europe using different econometric techniques our main findings suggest that the reactions of stock returns to oil price changes differ greatly depending on the activity sector in the out of sample analysis we show that introducing oil asset into a diversified portfolio of stocks allows to significantly improve its risk return characteristics

relative price variability real shocks and the stock market in this paper we investigate the effects of relative price variability on output and the stock market and gauge the extent to which inflation proxies for relative price variability in stock return inflation regressions the evidence shows that the negative stock returninflation relations proxy for the adverse effects of relative price variability on economic activity particularly during the seventies when the u s experienced oil supply shocks hence it appears that inflation spuriously affects the stock market in two ways the aggregate output link of fama 1981 and the supply shocks reflected in relative price variability a number of papers have attempted to explain the anomalous negative relations between stock returns and inflation witnessed in the post war period one hypothesis that has held up well in light of empirical evidence suggests that the negative relation between stock returns and unexpected inflation simply reflects the more fundamental positive relation between stock returns and future real variables see e g fama 1981 geske and roll 1983 and kaul 1987 1989 in this paper we investigate the effects of relative price variability on output and the stock market and gauge the extent to which inflation proxies for relative price variability in stock return inflation regressions first relative price variability can have detrimental effects on output and employment see e g friedman 1977 and barro 1976 second absolute relative price confusion models of the lucas 1973 type suggest that monetary shocks can induce a positive relation between inflation and relative price variability see e g cukierman 1983 hence the negative stock return inflation relations could simply be a reflection of the negative effects of relative price variability on the stock market we use data for the 1947 1985 period to test the various links of our hypothesis the results indicate that relative price variability is positively related to both expected and unexpected inflation measures relative price variability also has a significant negative effect on output and the stock market more importantly

oil price shocks stock market economic activity and employment in greece abstract using a multivariate vector autoregression var approach this paper attempts to shed light into the dynamic relationship among oil prices real stock prices interest rates real economic activity and employment for greece the empirical evidence suggests that oil price changes affect real economic activity and employment oil prices are important in explaining stock price movements stock returns do not lead to changes in real activity and employment

dynamic advertising and pricing with constant demand elasticities in this paper we analyze a stochastic dynamic advertising and pricing model with isoelastic demand the state space is discrete time is continuous and the planing horizon is allowed to be finite or infinite a dynamic version of the dorfman steiner identity will be derived explicit expressions of the optimal advertising and pricing policies of the value function and of the optimal advertising expenditures will be given the general results will be used to analyze the case of impatient customers furthermore particular time inhomogeneous models and homogeneous ones with and without discounting will be examined we will study the social efficiency of a monopolist s optimal policies and the consequences of specific subsidies from a buyer s perspective our analysis reveals that waiting when looking at immediate expected prices is never profitable should two or more units be available but we will also prove that the sequence of average sales prices is monotone decreasing moreover the techniques applied to solve the discrete stochastic advertising and pricing problem will be used to solve a related deterministic control problem with continuous state space

do higher oil prices push the stock market into bear territory this paper investigates whether a higher oil price pushes the stock market into bear territory by using time varying transition probability markov switching models it examines different measures of oil price shocks empirical evidence from monthly returns on the standard poor s s p 500 price index suggests that an increase in oil prices leads to a higher probability of a bear market emerging

oil price asymmetric effects answering the puzzle in international stock markets a bstract although studies have found an asymmetric pattern in the response of aggregate output to oil price changes parallel studies in stock markets have not been conclusive about their existence this paper finds evidence that effects for oil importing and oil exporting countries run in opposite directions oil price hikes have a negative effect on the stock markets of oil importing countries while the impact is positive for the stock markets of oil exporting countries statistical tests support the presence of asymmetric effects only in oil importing countries oil price volatility has a negative impact in stock markets of oil importing countries and positive in oil exporting countries moreover oil volatility seems to be affected asymmetrically by oil price changes oil price drops increase oil volatility more than oil price hikes do overall the evidence seems to support that falls in oil prices do not impact stock markets because their positive effects are offset by negative effects of oil price volatility canceling out effects for oil importing countries

oil shocks and stock volatility new evidence via a bayesian graph based var approach abstractthis article examines the temporal dependence between three oil shocks and realized volatility in the stock markets of g20 countries between 1994 and 2019 by applying a novel graphical b

optimal pricing for information goods with piracy and saturation effect we analyze the pricing decision of a firm selling a product for which there is a significant and continuous saturation effect over time and that can be pirated assuming that the firm uses a skimming strategy we solve three profit maximization models given demand that is linearly decreasing in price few prices can be used over the life of the product the effects of both piracy and saturation are combined in the first model in the second model the firm can invest in technology or copyright enforcement to reduce piracy the third model describes the case in which piracy leads to increased awareness of the product and increased demand numerical sensitivity analysis and examples are used to illustrate the results the results indicate that under strong piracy and saturation effects a skimming strategy is suboptimal

nonparametric advertising budget allocation with inventory constraint abstract in this paper we study the optimization problem of the advertising budget allocation for revenue management faced by a marketer besides the advertising budget the marketer is subject to an inventory constraint during the promotion season the marketer can affect sales by spending on advertising but does not initially know the relationship between the advertising expense and consequent sales we propose a nonparametric learning while doing budget allocation policy for the problem specifically we first conduct a sequence of advertising experiments to learn predict the market sales response through observing realized sales exploration then based on the learned sales function determine the following budget allocation planning exploitation in particular during the exploration and exploitation phases we need to balance the advertising and inventory budgets simultaneously we show that our policy is asymptotically optimal as the size of the market increases by constructing a worst case example we show that our policy achieves near best asymptotic performance we also provide numerical illustrations to show how our policy works and discuss how its performance changes as the system parameters vary we also glen some managerial implications of our model and policy from the numerical results

a taxonomy and research overview of perishable asset revenue management yield management overbooking and pricing this paper proposes the term perishable asset revenue management to denote the field that combines the areas of yield management overbooking and pricing for perishable assets after summarizing the characteristics common to problems in this field the paper discusses the objectives and constraints faced by decision makers then it offers a comprehensive taxonomy with 14 different elements and reviews the research that has been done related to each element finally it suggests some important areas of future research that can help bridge the gap between theory and application

analysis of thermal coal pricing and the coal price distortion in china from the perspective of market forces abstract the price of thermal coal has always been the focus of the debate between coal mining industry and electric power industry the thermal coal price is always lower than other same quality coal and this phenomenon of thermal coal price distortion has been existing in china for a long time the distortion coal price can not reflect the external cost and the resource scarcity of coal which could result in environment deteriorating and inefficient resource allocation this paper studied the phenomenon of thermal coal price distortion through economic theoretical modeling and empirical cointegration analysis from the perspective of market forces the results show that thermal coal price is determined by electricity price the prediction elasticity of a electricity enterprise price elasticity of demand of electricity the input prediction elasticity of a electricity enterprise and the price elasticity of supply of thermal coal the main reason of coal price distortion is the unbalance market force of coal industry and thermal coal generation industry the distortion rate of coal price is positively related to the market force of electric power industry and negatively related to the industrial concentration of coal industry

note the role of returns policies in pricing and inventory decisions for catalogue goods manufacturers often use returns policies to encourage retailers to stock and price items more aggressively we focus on the effect that such policies have on both a retailer s and a manufacturer s profits when the retailer must commit prior to the selling season to both a stocking quantity and a price at which to sell an item such a commitment is often necessary for retailers who sell primarily through catalogues

computing approximate nash equilibria in general network revenue management games abstract computing optimal capacity allocations in network revenue management is computationally hard the problem of computing exact nash equilibria in non zero sum games is computationally hard too we present a fast heuristic that in case it cannot converge to an exact nash equilibrium computes an approximation to it in general network revenue management problems under competition we also investigate the question whether it is worth taking competition into account when making network capacity allocation decisions computational results show that the payoffs in the approximate equilibria are very close to those in exact ones taking competition into account never leads to a lower revenue than ignoring competition no matter what the competitor does since we apply linear continuous models computation time is very short

airline seat allocation with multiple nested fare classes this paper addresses the problem of determining optimal booking policies for multiple fare classes that share the same seating pool on one leg of an airline flight when seats are booked in a nested fashion and when lower fare classes book before higher ones we show that a fixed limit booking policy that maximizes expected revenue can be characterized by a simple set of conditions on the subdifferential of the expected revenue function these conditions are appropriate for either the discrete or continuous demand cases these conditions are further simplified to a set of conditions that relate the probability distributions of demand for the various fare classes to their respective fares the latter conditions are guaranteed to have a solution when the joint probability distribution of demand is continuous characterization of the problem as a series of monotone optimal stopping problems proves optimality of the fixed limit policy over all admissible policies a comparison is made of the optimal solutions

the effect of oil prices on stock prices fresh evidence from asymmetric causality tests abstractthis article investigates the causal impact of oil prices on stock prices in each g7 market as well as in the world market an asymmetric causality test developed by hatemi j is used for this purpose since the underlying data appears to be non normal with time varying volatility we use bootstrap simulations with leverage adjustments in order to produce more reliable critical values than the asymptotic ones based on symmetric causality tests we find no causal effect of oil prices on the stock prices of the world market or any of the g7 countries however when we apply an asymmetric causality test we find that increasing oil prices cause stock prices to rise in the world the u s and japan while decreasing oil prices cause stock prices to fall in germany this may imply that the world the u s and japanese stock markets consider increases in oil prices as an indicator of good news as this may mean that there is an increase in oil demand due to an expected growth in the economy while the germ

a multiproduct dynamic pricing problem and its applications to network yield management a firm has inventories of a set of components that are used to produce a set of products there is a finite horizon over which the firm can sell its products demand for each product is a stochastic point process with an intensity that is a function of the vector of prices for the products and the time at which these prices are offered the problem is to price the finished products so as to maximize total expected revenue over the finite sales horizon an upper bound on the optimal expected revenue is established by analyzing a deterministic version of the problem the solution to the deterministic problem suggests two heuristics for the stochastic problem that are shown to be asymptotically optimal as the expected sales volume tends to infinity several applications of the model to network yield management are given numerical examples illustrate both the range of problems that can be modeled under this framework and the effectiveness of the proposed heuristics the results provide several fundamental insights into the performance of yield management systems

optimal inventory policy for a perishable item with demand function sensitive to price and time abstract we formulate a model for determining the optimal pricing order quantity and replenishment period for perishable items with price dependent and time dependent demand the items have a fixed shelf life and the demand rate decreases linearly in the selling price and polynomially over the time after replenishment until it vanishes either at the reservation price or at expiration time we prove that the three variable profit maximization problem can be reduced into a single variable problem in which the variable is the duration of the replenishment period we show that the profit function is strictly pseudo concave and provide means of obtaining the optimal policy three numerical examples are presented to demonstrate the model accompanied by a sensitivity analysis

comments on pricing research in marketing the state of the art rao s paper provides an account of recent research published in the marketing literature on the subject of pricing the paper contains an impressive bibliographic survey however the formal model proposed by the author as a framework for classifying and assessing the advances and needs in this area of marketing science is rather limited a major shortcoming of this model which appears to epitomize the marketing literature on pricing is the treatment of prices and quantities as unidimensional in other words the model implicitly assumes that purchases of the product under consideration can be characterized by a scalar quantity denoting the number of units purchased while the pricing of any such purchase is determined by a uniform unit price this restriction severely limits the pricing strategies and product types that can be addressed within such a framework for example it excludes two part tariffs and important classes of products involving metered usage service contracts etc in spite of these deficiencies i found the paper very educational its primary value is in highlighting the main research directions of pricing in the marketing literature and in conveying the importance of various pricing issues from the perspective of a leading marketing scientist taking rao s survey as a reference point i will attempt in the remainder of this discussion to examine the marketing perspective on pricing versus the approach prevailing in the economics literature dealing with pricing issues in particular i will try to identify some strengths and weaknesses of these approaches and to suggest possibilities for cross fertilization between the two disciplines with a few possible exceptions it is fair to say that the marketing literature on pricing typically focuses on developing pricing strategies for the firm and therefore treats prices as control variables the economics literature on the other hand approaches pricing from the perspective of industrial organization theory its primary objectives are to

dynamic pricing with loss averse consumers and peak end anchoring we study the dynamic pricing implications of a new behaviorally motivated reference price mechanism based on the peak end memory mode this model suggests that consumers anchor on a reference price that is a weighted average of the lowest and most recent prices loss averse consumers are more sensitive to perceived losses than gains relative to this reference price we find that a range of constant pricing policies is optimal for the corresponding dynamic pricing problem this range is wider the more consumers anchor on lowest prices and it persists when buyers are loss neutral in contrast with previous literature in a transient regime the optimal pricing policy is monotone and converges to a steady state price which is lower the more extreme and salient the low price anchor is our results suggest that behavioral regularities such as peak end anchoring and loss aversion limit the benefits of varying prices and caution that the adverse effects of deep discounts on the firm s optimal prices and profits might be more enduring than previous models predict

oil price movements and stock markets revisited a case of sector stock price indexes in the g 7 countries abstract applying sector stock prices and oil prices in 1991 01 2009 05 from the g7 countries we find oil price shocks do not significantly impact the composite index in each country however stock price changes in germany the uk and the us were found to lead oil price changes as for the interaction between oil price changes and sector stock price changes we find short run negative causal relationships 4 of 7 sector index returns were impacted by oil price changes in germany 2 in the us and 1 in france in particular stock returns of information technology and consumer staples sectors were found to be impacted most by oil price shocks followed by financial utilities and transportation sectors in terms of causality from sector stock price changes to oil price changes we find stock price changes lead oil price changes in 8 of 9 sectors in germany most in the g7 countries followed by the uk italy france canada and the us no such a causal relationship however is found for japan with respect to specific sectors stock price changes in consumer staples and materials sectors were impacted most significantly by oil price changes followed by transportation financial energy health care industrials utilities information technology and telecommunication sectors with the exception of consumer discretionary sector in addition short term stock price changes are found to lead positively oil price changes

oil prices and mena stock markets new evidence from nonlinear and asymmetric causalities during and after the crisis period this article investigates the potential of nonlinear causal relationships between world oil prices and stock markets in middle east and north africa mena countries during a black swan period that is characterized by rarity and devastating impacts our study is carried out using the daily data for 11 mena countries over the period from 2 july 2007 to 27 august 2012 by using the nonlinear and asymmetric causality test of kyrtsou and labys 2006 we mainly find that i the oil prices and mena stock markets interact in a nonlinear manner ii the signs of changes in the causing variables are important for detecting the true causality links between the variables and iii the nonlinear causality is more pronounced in the case of the brent than west texas intermediate oil prices

lease expiration management for a single lease term in the apartment industry abstract lease expiration management lem in the apartment industry aims to control the number of lease expirations and thus achieve maximal revenue growth we examine rental rate strategies in the context of lem for apartment buildings that offer a single lease term and face demand uncertainty we show that the building may incur a significant revenue loss if it fails to account for lem in the determination of the rental rate we also show that the use of lem is a compromise approach between a limited optimization where no future demand information is available and a global optimization where complete future demand information is available we show that the use of lem can enhance the apartment building s revenue by as much as 8 when the desired number of expirations and associated costs are appropriately estimated numerical examples are included to illustrate the major results derived from our models and the impact on the apartment s revenue of sensitivity to the desired number of expirations and associated costs

dynamic pricing and ordering decisions by a monopolist this paper considers the relationship between pricing and ordering decisions for a monopolistic retailer facing a known demand function where over the inventory cycle the product may exhibit i physical decay or deterioration of inventory called wastage and ii decrease in market value called value drop associated with each unit of inventory on hand the retailer is allowed to continuously vary the selling price of the product over the cycle we introduce a notion of instantaneous margin and use it to derive profit maximizing conditions for the retailer the model explains the markdown of retail goods subject to decay it also provides guidance in determining when price changes during the cycle are worthwhile due to product aging how often such changes should be made and how such changes affect ordering intervals and quantities