assortment planning in fashion retailing methodology application and analysis abstract assortment planning is the process conducted by the retailer to determine the number and types of products in a line key questions that arise in this process include choosing the inventory depth and variety breadth and the mix between basic and fashion merchandise of the assortment to maximize expected profits we describe a method for resolving these questions using demand forecasts derived from historical sales patterns we use a nonlinear integer programming model to make the assortment choice efficient heuristics are developed to solve this problem we applied our method at a large catalog retailer specializing in women s apparel we compared our method to the existing rules used by this retailer and found that it could choose the assortment in a manner that reduces markdowns due to excessive inventory and lost margins due to stockouts by enough to increase profits by at least 40 insights are developed to better understand why products are included in an assortment and the implications of this choice on the realized profit we extend our model to include shelf space constraints and the effect of assortment choice on product demand

on the single resource capacity problem for multi item inventory systems in this paper we study multi item inventory systems under a single resource capacity constraint in contrast to most previous approaches we treat the capacity as a decision variable and not as given data this is consistent with many practical cases where additional capacities resources can be acquired rented at some cost profit two solution procedures are developed for deriving an optimal policy within the class of policies that has a fixed cycle for all items with phasing of orders within the cycle these solution procedures can be applied to various types of cost functions as illustrated by an example

how does the stock market absorb shocks abstract using a comprehensive set of news stories we find a stark difference in market responses to positive and negative price shocks accompanied by new information when there is a news story about a firm positive price shocks are followed by reversal while negative ones result in drift this is interpreted as the stock market overreaction to good news and underreaction to bad news these seemingly contradictory results can be explained in a single framework considering the interaction of retail investors with attention bias and arbitrageurs with short run capital constraints consistent with this hypothesis we find that both patterns are stronger when the attention bias is stronger and when the arbitrage capital is scarce

optimal ordering for a probabilistic one time discount abstract we develop a model for a one time special purchasing opportunity where there is uncertainty with respect to the materialization of the discounted purchasing offer our model captures the phenomenon of an anticipated future event that may or may not lead to a discounted offer we analyze the model and show that the optimal solution results from a tradeoff between preparing for the special offer and staying with the regular ordering policy we quantify the tradeoff and find that the optimal solution is one of four intuitive policies we present numerical illustrations that provide additional insights on the relationship between the different ordering policies

psychological factors and stock option exercise we investigate stock option exercise decisions by over 50 000 employees at seven corporations controlling for economic factors psychological factors influence exercise consistent with psychological models of beliefs employees exercise in response to stock price trends exercise is positively related to stock returns during the preceding month and negatively related to returns over longer horizons consistent with psychological models of values that include reference points employee exercise activity roughly doubles when the stock price exceeds the maximum price attained during the previous year

capacitated two stage multi item production inventory model with joint setup costs we analyze a continuous time two stage production inventory system in the first stage a common intermediate product is produced in batches and possibly stored in the second phase the intermediate product is fabricated into n distinct finished products several finished products may be included in a single production batch of limited capacity to exploit economies of scale we propose a planning methodology to address the combined problem of joint setup costs and capacity limits per setup we restrict ourselves to a class of replenishment strategies with the following properties a replenishment strategy specifies a collection of families subsets of items covering all end items if an item belongs to several families a specific fraction of its sales is assigned to each family each time the inventory of one item in a family is replenished the inventories of all other items in the family are replenished as well we derive a simple roughly 0n log n algorithm that results in a strategy whose long run average cost comes within a few percentage points of a lower bound for the minimum achievable cost within the above class of strategies

the value of diffusing information abstract how does the speed by which information diffuses affect its value to a stock market investor in a structural model solved in closed form this speed has two opposing effects on the empirically dominant term of the value of information faster diffusing information means quicker and less noisy profits but also increases competing informed trading impounding more information into prices and eroding profits structural empirical analysis of stock market reaction to drug approvals using media coverage as a proxy for the transmission rate of information finds that the value of information is hump shaped in its future transmission rate moreover the estimated amount of noise trading is small

a hybrid algorithm for simultaneous scheduling of production and distribution in multi echelon structures this paper presents a dynamic programming algorithm for simultaneous determination of production batch sizes in an assembly network and distribution batch sizes in a conjoined distribution arborescent network the objective is to minimize average cost per period over an infinite horizon costs consist of processing costs at each node and linear holding costs for inventory final product demand rates may vary among the retail nodes but at each retail node the demand rate is assumed to be known constant and continuous all demand must be met backorders are not permitted the model can be used for a single product or for several products that are temporarily combined for distribution or for scheduling production in a system where several end products are produced from the same intermediate product as in some biochemical manufacturing processes

optimizing reorder intervals for two echelon distribution systems with stochastic demand we consider a periodic review inventory system in which n non identical retailers replenish from a warehouse which further replenishes from an outside vendor with ample supply each facility faces poisson demand and replenishes according to a base stock policy in a fixed time interval fixed costs are incurred for placing an order the warehouse fills the retailers orders in the same sequence as the occurrence of the demand at the retailers the objective is to minimize the average system cost per period this paper develops an evaluation scheme and provides a method to obtain the optimal base stock levels and reorder intervals specifically with fixed reorder intervals we show that the optimal base stock levels can be obtained by generalizing the result in the literature to find the optimal reorder intervals we first allocate the total system cost to each facility and then construct a lower bound to the allocated facility cost these lower bound functions which are separable functions of reorder i

near optimal r q policies for a two stage serial inventory system with poisson demand we consider a two stage serial inventory system whose cost structure exhibits economies of scale in both stages in the system stage 1 faces poisson demand and replenishes its inventory from stage 2 and the latter stage in turn orders from an outside supplier with unlimited stock each shipment either to stage 2 or to stage 1 incurs a fixed setup cost we derive important properties for a given echelon stock r q policy for an approximation of the problem where all states are continuous based on these properties we design a simple heuristic algorithm that can be used to find a near optimal r q policy for the original problem numerical examples are given to demonstrate the effectiveness of the algorithm

simultaneity of issues and additivity in bargaining on etudie la negociation simultanee sur plusieurs resultats par deux negociateurs en prenant les sommes des jeux de negociation et en exigeant des solutions de negociation satisfaisant certains axiomes de super additivite

utilitarianism egalitarianism and the timing effect in social choice problems two theorems are derived about social choice functions which are defined on comprehensive convex subsets of utility allocation space theorem 1 asserts that a linearity condition together with pareto optimality implies that a social choice function must be utilitarian theorem 2 asserts that a concavity condition together with pareto optimality and independence of irrelevant alternatives implies that a social choice function must be either utilitarian or egalitarian these linearity and concavity conditions have natural interpretations in terms of the timing of social welfare analysis before or after the resolution of uncertainties and its impact on social choices

94 effective policies for a two stage serial inventory system with stochastic demand a two stage inventory system is considered where poisson demand occurs at stage 1 and stage 1 replenishes its inventory from stage 2 which in turn orders from an outside supplier with unlimited stock each shipment either to stage 2 or to stage 1 incurs a fixed setup cost under the assumption that the supply leadtime at stage 2 is zero we characterize a simple heuristic policy whose long run average cost is guaranteed to be within 6 of optimality i e a 94 effective policy the paper also provides heuristic policies for more general inventory systems and reports computational results

bargaining in committees as an extension of nash s bargaining theory abstract this paper addresses the following issue if a set of agents bargain on a set of feasible alternatives in the shadow of a voting rule that is any agreement can be enforced if a winning coalition supports it what general agreements are likely to arise in other words what influence can the voting rule used to settle possibly nonunanimous agreements have on the outcome of consensus we model the situation as an extension of the nash bargaining problem in which an arbitrary voting rule replaces unanimity in this setting a natural extension of nash s solution is characterized

cooperative bargaining foundations of the shapley shubik index abstract in a recent paper we provide an interpretation of the shapley shubik index as a measure of the bargaining power that a voting rule gives to each member of a committee negotiating in search of consensus it is assumed that negotiation takes place under the condition that every winning coalition can impose any agreement in this paper we further investigate the axiomatic foundations of this interpretation of the shapley shubik index to this end a wider framework admitting random voting rules is considered

earnings news and small traders an intraday analysis abstract this study separates trading volume into buyer and seller initiated activities and examines the directional volume reaction in small and large trades to different types of earnings news good bad news triggers brief but intense buying selling in the large trades however a persistent period of unusually high buying activity is observed in the small trades irrespective of the news this anomalous proclivity of small traders to buy is robust across firm size trading volume and different earnings expectation models several explanations are discussed although the behavior does not seem fully explained by existing theories

lower bounds for multi echelon stochastic inventory systems we establish lower bounds on the minimum cost of managing certain production distribution networks with setup costs at all stages and stochastic demands these networks include serial assembly and one warehouse multi retailer systems we obtain the bounds through novel cost allocation schemes we evaluate the bounds performance for one warehouse multi retailer systems by comparing them with simple heuristic policies the bounds are quite tight for systems with a small number of retailers we also present simplified proof of known optimality results for serial and assembly systems

informed trading before positive vs negative earnings surprises abstract this paper investigates whether institutional investors trade profitably around the announcements of positive or negative earnings surprises using korean data over the period of 2001 2010 we find that information asymmetry is larger before negative earnings surprises earnings shock among investors and that the trading volume decreases only before earnings shock announcements due to the severe information asymmetry we also find that institutions sell their stocks prior to earnings shock announcements whereas individual and foreign investors do not anticipate bad news finally we find that institutional trade imbalance is positively related to the post announcement abnormal returns of negative events this study complements and extends prior literature on informed trading around earnings announcements by documenting evidence that domestic institutions exploit their superior information around particularly earnings shock announcements

multi item one warehouse multi retailer distribution systems in this paper we study the problem of coordinating the purchase and shipment of i items in a one warehouse n retailer inventory system the model includes positive echelon holding costs fixed costs for ordering and shipping each item and a fixed joint item order cost at each retailer demand for each item at each retailer is assumed to occur at a constant and continuous rate a mathematical model is developed based on these assumptions and the assumption that a stationary nested policy is followed an efficient algorithm is presented based on the problem s structure that involves only sorting and runs in oni log ni time the cost of the policy computed is proven to be within 6 of the cost of an optimal nested policy an example is presented to illustrate the problem structure and the proposed algorithm

98 effective integer ratio lot sizing for one warehouse multi retailer systems a warehouse supplies n retailers constant external demand occurs at each retailer and shortages are not allowed there are linear holding costs and fixed costs for ordering at the warehouse and at each retailer the goal is to minimize the long run average cost over an infinite time horizon we define a new class of policies for this problem whose simple structure facilitates both computation and implementation the cost of a policy that is optimal within this class is shown to be within 2 of the cost of an optimal policy for the original problem in the worst case such a policy can be computed in on log n time

an operational policy for a three stage distributive supply chain system with retailers backorders abstract this research deals with a production inventory problem consisting of three stage tree type single producer multi distributor and multi retailer supply chain network where a model has been developed for achieving the lowest total cost for operating a supply chain system with allowable shortage in this research the shortage is assumed to occur in a form of backorder the refrigerator manufacturing can suitably be used to illustrate the scenario which makes the situation more rational and realistic by assumptions the customers will not go somewhere else the cost of lost sale is not included in this case the total cost of this tree type distributive supply chain system is comprised of setup costs and holding costs at all echelons and the backorder cost at retailer level only a replenishment policy is sought to operate the system at a minimum cost the problem is formulated as an unconstrained mixed integer programming problem and a newly developed doubly hybrid meta heuristic algorithm is adopted as the solution procedure the solutions which determine the desired replenishment policy for the producer distributors and retailers are obtained to minimize the total system cost a sensitivity analysis is performed to evaluate the outcome of the proposed solution procedure presented in this research numerical results are generated to demonstrate the solution procedure and future research is indicated for further study

an integrated supply chain problem with environmental considerations in this paper a novel formulation for a multiple product capacitated inventory location supply chain model with risk pooling and carbon emission considerations is proposed various products are shipped from a single plant to retailers with stochastic demand via a network of capacitated warehouses in the presence of environmental regulations the locations and inventory policies of the warehouses are chosen so as to minimize the sum of fixed facility location transportation inventory carrying costs and emissions related costs the warehouses retain safety stock so as to maintain appropriate service levels in the face of uncertain demand at the retailers for multiple products computational results are also presented

a model of capital and crises we develop a model in which the capital of the intermediary sector plays a critical role in determining asset prices the model is cast within a dynamic general equilibrium economy and the role for intermediation is derived endogenously based on optimal contracting considerations low intermediary capital reduces the risk bearing capacity of the marginal investor we show how this force helps to explain patterns during financial crises the model replicates the observed rise during crises in sharpe ratios conditional volatility correlation in price movements of assets held by the intermediary sector and fall in riskless interest rates

market madness the case of mad money we use the popular television show mad money hosted by jim cramer to test theories of attention and limits to arbitrage stock recommendations on mad money constitute attention shocks to a large audience of individual traders we find that stock recommendations lead to large overnight returns that subsequently reverse over the next few months the spike reversal pattern is strongest among small illiquid stocks that are hard to arbitrage using daily nielsen ratings as a direct measure of attention we find that the overnight return is strongest when high income viewership is high we also find weak price effects among sell recommendations taken together the evidence supports the retail attention hypothesis of barber and odean barber b t odean 2008 all that glitters the effect of attention and news on the buying behavior of individual and institutional investors rev financial stud 21 2 785 818 and illustrates the potential role of media in generating mispricing this paper was accepted by brad barber teck ho and terrance odean special issue editors

intermediary asset pricing abstract we model the dynamics of risk premia during crises in asset markets where the marginal investor is a financial intermediary intermediaries face an equity capital constraint risk premia r

the optimal and heuristic solutions of a distribution network abstract competitive environment of global networking and customization call for cost reduction in arborescent tree like inventory system one of the keys to cost reduction is the integration of the supply chain much practical research has been done in the area of integrating the inventory system in recent years integration involves the joint decision making among the producer the distributors and the retailers in the supply chain by revising goyal s model an optimal solution is derived in this paper a heuristic solution model is also developed for a producer distributors retailers inventory system using the principle of strategic partnership numerical results indicate the heuristic solution is a good estimation of the optimal solution

the dartboard column second hand information and price pressure this study analyzes the effect of second hand information on the behavior of security prices and volume using analysts recommendations published in the monthly dartboard column of the wall street journal for the two days following the publication of the recommendations average positive abnormal returns of 4 percent nearly twice the level of abnormal returns documented in previous research on analyst recommendations and average volume double normal volume levels on the two days following publication of the recommendations are documented the positive abnormal return on announcement is partially reversed within 25 trading days the authors conclude that the positive abnormal return on announcement of the recommendations is a result of naive buying pressure as well as the information content of the analysts recommendations

single supplier multiple buyer supply chain coordination incorporating buyers expectations under vertical information sharing abstract we address the coordination problem in a single supplier multiple buyer supply chain the supplier wishes to coordinate the supply chain by offering quantity discounts to obtain their complete cost information the supplier exchanges his own cost parameters with buyers leading to vertical information sharing the supplier thinks that the buyers as they have access to supplier s setup and holding cost information may demand a portion of the anticipated coordination savings based on the partial information they hold about the cost structure of the entire supply chain we model each buyer s expectations based on her limited view of the entire supply chain which consists of herself and the supplier only these expectations are then incorporated into the modeling of the supply chain which results in a generalization of the traditional stackelberg type models we discuss alternative efficiency sharing mechanisms and propose methods to design the associated discount schemes that take buyers expectations into account in designing the discount schemes we consider both price discriminatory and non price discriminatory approaches the study adds to the existing body of work by incorporating buyers expectations into a constrained stackelberg structure and by achieving coordination without forcing buyers to explicitly comply with the supplier s replenishment period in choosing their order quantities the numerical analysis of the coordination efficiency and allocation of the net savings of the proposed discount schemes shows that the supplier is still able to coordinate the supply chain with high efficiency levels and retain a significant portion of the net savings

return predictability following large price changes and information releases abstract we examine return behavior following large price change events unconditional post event abnormal returns are found to be unimportant as we condition on other criteria related to the quality of information like volume and public announcements the abnormal returns become large the type of news provides further refinement if the news relates to earnings or analyst recommendations then the 20 day abnormal returns become much larger ranging from 3 to 4 for positive events and about 2 25 for negative events finally an out of sample trading strategy confirms investor under reaction and generates significant abnormal annualized returns of the order of 12 18

the joint economic lot size problem a review abstract this article reviews lot size models which focus on coordinated inventory replenishment decisions between buyer and vendor and their impact on the performance of the supply chain these so called joint economic lot size jels models determine order production and shipment quantities from the perspective of the supply chain with the objective of minimizing total system costs this paper first describes the problem studied introduces the methodology of the review and presents a descriptive analysis of the selected papers subsequently papers are categorized and analyzed with respect to their contribution to the coordination of different echelons in the supply chain finally the review highlights gaps in the existing literature and suggests interesting areas for future research

a two echelon inventory distribution system with power demand pattern and backorders abstract this paper addresses the implications of considering power demand pattern and backorders in the one warehouse n retailer problem specifically we assume that items at the retailers are withdrawn from the inventory following a power pattern the objective function consists of the sum of ordering holding and backordering costs at all installations this objective function depends on the class of inventory policies that we choose for the formulation of the problem in general obtaining the cost function is an arduous task since the average inventory at the warehouse could be difficult to determine however if we apply single cycle policies the computation of the total average cost becomes possible under these assumptions we show that the one warehouse n retailer system with power demand pattern and backorders can be formulated as a mixed non linear programming problem

axiomatic bargaining theory on economic environments abstract axiomatic bargaining theory is reexamined by focusing upon the economic exhange environment instead of the traditional utility possibility set it is argued that the axioms of the traditional theory impose stronger restrictions than can be supported by their motivating economic intuitions weaker alternative axioms making explicit use of economic information are used to characterize the standard bargaining solutions a key idea is to impose consistency of the solution with respect to changes in the dimension of the commodity space even these weaker economic axioms however may be unrealistic restrictions to impose on the bargaining solution in the context of many economic bargaining problems

one dimensional bargaining we study a model of multilateral bargaining over social outcomes represented by the points in the unit interval the acceptance or rejection of a proposal is determined by an acceptance rule represented by the collection of decisive coalitions the focus of the paper is on the asymptotic behavior of subgame perfect equilibria in stationary strategies as the players become infinitely patient we show that along any sequence of stationary subgame perfect equilibria the social acceptance set collapses to a point this point called the limit of bargaining equilibria is independent of the sequence of equilibria and is uniquely determined by the set of players the utility functions the recognition probabilities and the acceptance rule the central result of the paper is a characterization of the limit of bargaining equilibria as a unique zero of the characteristic equation

presidential address asset price dynamics with slow moving capital i describe asset price dynamics caused by the slow movement of investment capital to trading opportunities the pattern of price responses to supply or demand shocks typically involves a sharp reaction to the shock and a subsequent and more extended reversal the amplitude of the immediate price impact and the pattern of the subsequent recovery can reflect institutional impediments to immediate trade such as search costs for trading counterparties or time to raise capital by intermediaries i discuss special impediments to capital formation during the recent financial crisis that caused asset price distortions which subsided afterward after presenting examples of price reactions to supply shocks in normal market settings i offer a simple illustrative model of price dynamics associated with slow moving capital due to the presence of inattentive investors i address the implications for asset price dynamics of the apparent slow movement of investment capital to trading opportunities the arrival of new capital to an investment opportunity can be delayed by fractions of a second in some markets for example an electronic limit order book market for equities or by months in other markets such as that for catastrophe risk insurance accordingly prices respond to supply or demand shocks with a sharp reaction because of the relatively small subset of capital and thus risk bearing capacity that is immediately available to absorb a shock on short notice such a price impact is substantially reversed over time as additional capital becomes available the amplitude of the immediate price impact and the pattern of the subsequent recovery can reflect many sorts of attention costs to trade as well as institutional impediments to capital movement such as search costs for trading

dynamic version of the economic lot size model this article originally appeared in management science october 1958 volume 5 number 1 pp 89 96 published by the institute of management sciences a forward algorithm for a solution to the following dynamic version of the economic lot size model is given allowing the possibility of demands for a single item inventory holding charges and setup costs to vary over n periods we desire a minimum total cost inventory management scheme which satisfies known demand in every period disjoint planning horizons are shown to be possible which eliminate the necessity of having data for the full n periods

a serial supply chain of newsvendor problem with safety stocks under complete and partial information sharing abstract we consider a supply chain where multiple members are serially connected the decision is to determine the ordering quantity of a member to the next upstream member in the supply chain the basic cost model is similar to the newsvendor problem with additional consideration to safety stock this paper presents optimal approaches for coordination of the supply chain under both complete and partial information sharing in order to maximize the total expected benefit for complete information sharing we develop an optimal coordination algorithm for partial information sharing we propose an optimal coordination algorithm based on the alternating direction method and the diagonal quadratic approximation method a numerical example is discussed to show the optimal convergence of ordering quantities and discuss the properties of the proposed algorithms

channel coordination and quantity discounts this paper presents a model for analyzing the impact of joint decision policies on channel coordination in a system consisting of a supplier and a group of homogeneous buyers the joint decision policy characterized by the unit selling price and the order quantity is coordinated through quantity discounts and franchise fees both the annual demand rate and the operating cost including the purchase ordering and inventory holding costs depend on the joint decision policy employed this paper contributes by integrating work addressing quantity discounts on inventory and ordering policies and work focusing on the control mechanism provided by quantity discounts in channel coordination it is shown that the optimal all unit quantity discount policy is equivalent to the optimal incremental quantity discount policy in achieving channel coordination furthermore it is shown that quantity discounts alone are not sufficient to guarantee joint profit maximization the analyses of the general models are illustrated by specific analytical results obtained for a given demand function