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 lot size model for deteriorating items with demand rate dependent on displayed stock level dsl and partial backordering in this paper we consider the problem of determining the lot size of a single deteriorating item with the demand rate dependent on displayed stock level selling price of an item and frequency of advertisement in the popular electronic and print media also through the sales representatives shortages if any are allowed and partially backlogged with a variable rate which depends on the duration of waiting time upto the arrival of next lot here the transportation cost for replenishing the goods is considered explicitly and the storage capacity of the showroom shop is assumed to be limited finite according to the relative size of the stock level dependency demand parameters and the storage capacity of the showroom shop different scenarios with sub scenarios have been mentioned and solved with the help of grg generalised reduced gradient method and the computational procedure the convexity analysis is done by showing the average profit function in each case as pseudo concave to illustrate the results and its significant features a numerical example is given finally to study the effect of changes of demand parameters deterioration backlogging parameters and mark up rate on the maximum initial stock level shortage level frequency of advertisement per cycle along with the maximum average profit are presented numerically

pricing and lot sizing decisions for perishable goods when demand depends on selling price reference price product freshness and displayed stocks abstract price is an important factor affecting demand rate based on economic and marketing theory in addition today s health conscious consumers prefer a product further from its expiration date because it is fresher and can be stored longer furthermore a large display of goods in a supermarket induces customers to buy more due to its visibility variety and seasonality as a result we develop a joint pricing and lot sizing model for retailers selling perishable products in which the demand depends on not only the selling price and reference price but also the product freshness linked to expiration date and displayed stock level we then formulate the problem as a deterministic model in which the retailer determines the optimal selling prices and ending inventory levels to maximize the discounted total profit furthermore we discuss the retailer s optimal decisions under two scenarios of demand behavior loss neutrality and loss aversion our theoretical analysis shows that the optimal pricing and ending inventory level strategies are both monotonic in time and the equilibrium of the system is unique for these two scenarios of demand behavior finally a set of structural properties and sensitivity analysis is also developed to characterize the impacts of model parameters on the optimal decisions

pricing and lot sizing polices for perishable goods when the demand depends on selling price displayed stocks and expiration date abstract price is a major factor on the demand based on marketing and economic theory in addition the demand for perishable products also depends on its freshness moreover it is a well known fact that increasing stock display e g fresh fruits vegetables baked goods may encourage consumers to purchase more this paper first proposes an inventory model that stipulates the demand explicitly in a multivariate function of price freshness and displayed stocks it may be profitable to have a closeout sale at a markdown price and always keep on hand displayed stocks fresh and plentiful if the demand is freshness and stock dependent hence the traditional assumption of zero ending inventories is relaxed to a non zero ending inventory as a result the objective is to determine three decision variables i e unit price cycle time and ending inventory level in order to maximize the total profit then it is demonstrated that the total profit is strictly pseudo concave in those three decision variables which reduces the search for solutions to a unique local maximum finally numerical examples to illustrate the theoretical results and to highlight managerial insights are presented

bitcoin for energy commodities before and after the december 2013 crash diversifier hedge or safe haven abstractwe study the relationship between bitcoin and commodities by assessing the ability of bitcoin to act as a diversifier hedge or safe haven against daily movements in commodities in general and energy commodities in particular we focus on energy commodities because energy in the form of electricity is an essential input in the bitcoin production for the entire period results show that bitcoin is a strong hedge and a safe haven against movements in both commodity indices we further examine whether that ability is also present for non energy commodities and our analysis show insignificant results when energy commodities are excluded from the general commodity index we also account for the december 2013 bitcoin price crash and our results reveal that bitcoin hedge and safe haven properties against commodities and energy commodities are only present in the pre crash period whereas in the post crash period bitcoin is no more than a diversifier in addition to uncovering the time varying role o

a note on eoq models for deteriorating items under stock dependent selling rate abstract in 1995 padmanabhan and vrat presented inventory models for deteriorating items with stock dependent selling rate and derived the profit functions without backlogging and with complete backlogging first this paper develops the necessary and sufficient conditions of the existence and uniqueness of the optimal solutions of the profit per unit time functions without backlogging and with complete backlogging second this paper explains that it is appropriate to use the newton raphson method to find the optimal solutions of the profit functions per unit time in both situations modelled

optimal discounting and replenishment policies for perishable products abstract we consider a retailer selling a perishable product with short shelf life and uncertain demand facing these key decisions a whether to discount old er items b how much discount to offer and c what should be the replenishment policy in order to better understand the impact of consumer behavior and shelf life on these decisions we consider four models in model a the product has a shelf life of two periods and the retailer decides whether or not to offer a discount the amount of discount is exogenous and assumed to be large enough so that all the customers prefer the old product to the new one when a discount is offered based on several numerical examples we find that a threshold discounting policy in which a discount is offered if and only if the inventory of old product is below a threshold is optimal in model b the retailer also decides how much discount to offer model c extends model b and considers a new pool of customers who are willing to purchase from the retailer when a discount is offered in both models b and c the product has a shelf life of two periods while model d explores what happens with longer shelf life we analyze and compare these models to present different managerial insights

analysis of protection and pricing strategies for digital products under uncertain demand abstract we analyze pricing and protection digital rights management strategies in a two echelon supply chain that consists of a manufacturer and a retailer of digital products the demand for the legal non pirated product which depends on both price and monetary investment in protection is assumed to be uncertain three different supply chain models are analyzed manufacturer stackelberg retailer stackelberg and vertical integration we show that the retailer s utility function has no effect on the equilibrium strategies and suggest schemes to find these strategies for any utility function of the manufacturer further results are obtained under assumptions of either a multiplicative or an additive demand model we study the players strategies under different profit criteria reflecting different attitudes toward risk specifically the expectation criterion and the target criterion and for each criterion we obtain the dependence between the pricing and the protection investment we show that there are situations in which the manufacturer can increase his profit by giving up his leadership to the retailer even if the power balance is in his favor

simulation study of the price differentiation effect in a stochastic deteriorating inventory with heterogeneous consumers freshness sensitivity a fixed price policy regardless of expiration date may result in unsold inventory and sales loss price reduction over time as the expiration date approaches motivates customers to purchase all items including the ones that are left with only a short interval until their expiration we conduct a discrete event simulation that captures the main characteristics of this phenomenon results show that a moderate differentiation of price increases profits by 6 a larger differentiation reduces profits profits are the highest for freshness oriented customers a fixed price policy is preferred in an environment of large variance and expected near term expirations

selling the family silver institutional entrepreneurship and asset disposal in the english housing association sector the purpose of this paper is to shed light on english housing associations asset management strategies through an analysis of strategic decisions to either dispose of or retain valuable property a

capacity pricing and production under supply and demand uncertainties with an application in agriculture abstract we consider capacitated joint lot sizing and pricing problems when supply and a price sensitive demand are uncertain in cases where there is excess capacity the decision maker has the option to rent her capacity we model the case where price and production quantity are determined before the yield is realized joint decisions as well as the case where the price is determined after the yield is known sequential decisions in the joint decisions case we introduce the concept of expected demand fill rate elasticity and characterize the conditions in which a one sided production and pricing policy is optimal we extend the results to the case when there is a fixed production cost and show that a two sided production and pricing policy is optimal we also investigate the conditions under which it is optimal for the decision maker to rent her capacity in addition we look at the case in which the decision maker is risk averse and analyze the effect of the risk attitude on the optimal price and production quantity we extend our model to the multi period case and the case where there is a lead time to acquire new capacity we show that a one sided production pricing and capacity planning policy is optimal in this situation as well we apply our model to the agricultural sector and present numerical examples using data from the california almond industry

an algorithm to determine the eoq for deteriorating items with shortage and a linear trend in demand abstract in 1991 professors goswami and chaudhuri considered the inventory replenishment policy over a fixed planning period for a deteriorating item having a deterministic demand pattern with a linear trend and shortages basically they concentrated on the establishment of the inventory model but did not present a concrete algorithm to solve it this paper complements the shortcoming of goswami and chaudhuri s paper we first show that the total cost function of goswami and chaudhuri is convex subsequently with the convexity an algorithm to determine the number of reorders the interval between two successive reorders and the shortage intervals over a finite time horizon in an optimal manner is developed many numerical examples illustrate how the algorithm works

a deteriorating inventory model with time varying demand and shortage dependent partial backlogging abstract recently chu et al p chu k l yang s k liang t niu note on inventory model with a mixture of back orders and lost sales european journal of operational research 159 2004 470 475 presented the necessary condition of the existence and uniqueness of the optimal solution of padmanabhan and vrat g padmanabhan p vrat inventory model with a mixture of back orders and lost sales international journal of systems science 21 1990 1721 1726 however they included neither the purchase cost nor the cost of lost sales into the total cost in this paper we complement the shortcoming of their model by adding not only the cost of lost sales but also the non constant purchase cost and then extend their model from a constant demand function to any log concave demand function we also provide a simple solution procedure to find the optimal replenishment schedule further we use a couple of numerical examples to illustrate the results and conclude with suggestions for future research

a fractiles perspective to the joint price quantity newsvendor model pricing and quantity decisions are critical to many firms across different industries we study the joint price quantity newsvendor model where only a single quantity and price decision is made such as a fashion or holiday product that cannot be replenished and where the price is advertised nationally and cannot be changed demand is uncertain and sensitive to price we develop a method for easily finding the optimal price and quantity that applies to more general cases than the usual one in which uncertainty is either additive multiplicative or a combination of the two we represent a quantity by its fractile of the probability distribution of demand for a given price we use a standard approach to approximating a given distribution with a finite number of representative fractiles and assume that these fractile functions are piecewise linear functions of the price we identify effects that are not usually seen in a joint price quantity newsvendor model for example although the optimal quantity is a decreasing function of the unit cost the optimal price can be nonmonotone in the unit cost and we shed insight into why we illustrate that using a simplified structure of demand uncertainty can result in substantially lower profits

the inefficiency of bitcoin bitcoin has received much attention in the media and by investors in recent years although there remains scepticism and a lack of understanding of this cryptocurrency we add to the literature on bitcoin by studying the market efficiency of bitcoin through a battery of robust tests evidence reveals that returns are significantly inefficient over our full sample but when we split our sample into two subsample periods we find that some tests indicate that bitcoin is efficient in the latter period therefore we conclude that bitcoin in an inefficient market but may be in the process of moving towards an efficient market

joint pricing and inventory control for non instantaneous deteriorating items with partial backlogging and time and price dependent demand abstract in this paper a joint pricing and inventory control for non instantaneous deteriorating items is developed we adopt a price and time dependent demand function shortages is allowed and partially backlogged the major objective is to determine the optimal selling price the optimal replenishment schedule and the optimal order quantity simultaneously such that the total profit is maximized we first show that for any given selling price optimal replenishment schedule exists and unique then we show that the total profit is a concave function of price next we present a simple algorithm to find the optimal solution finally we solve a numerical example to illustrate the solution procedure and the algorithm

an inventory model for deteriorating items with time proportional demand and shortages under inflation and time discounting this paper proposes a generalized dynamic programming model for inventory items with weibull distributed deterioration in this model the demand rate is assumed to be time proportional shortages are allowed and completely backordered and the effects of inflation and time value of money are taken into consideration the solutions of the model determine the optimal replenishment schedule over a finite planning horizon so that the present worth of total cost associated with the inventory system is minimized the proposed model permits variation in both the replenishment intervals and the service levels between order cycles as a result it generates a better solution than other optimization models having fixed order intervals and or fixed service levels the solution procedure is illustrated by two numerical examples and comparison with an existing model is carried out

optimal ordering and pricing policy for demand functions that are separable into price and inventory age abstract we formulate and analyze two models for determining the optimal pricing order quantity and replenishment period for items whose demand function is separable into components of price and inventory age the first model assumes a multiplicative demand function we provide conditions which are satisfied by most common price dependent demand functions to reduce the three variable profit maximization problem into a single variable problem which can be solved using an efficient line search method next we show that a genuine additive model cannot exist and instead suggest and analyze a pseudo additive model however this model is more limited than the multiplicative model in its ability to incorporate various combinations of price and inventory age effects and reduction of the maximization problem into a single variable problem is more complicated except in the case of a linear price effect which is further analyzed for both models we show that the optimal solution satisfies the first order condition for equilibrium under a monopoly with a modification that includes inventory holding costs we solve numerical examples to illustrate the solution procedures

on the inefficiency of bitcoin abstract urquhart 2016 investigated the market efficiency of bitcoin by means of five different tests on bitcoin returns it was concluded that the bitcoin returns do not satisfy the efficient market hypothesis we show here that a simple power transformation of the bitcoin returns do satisfy the hypothesis through the use of eight different tests the transformation used does not lead to any loss of information

discounting and dynamic shelf life to reduce fresh food waste at retailers approximately 89 million of tonnes of food is wasted every year in the eu along the whole food supply chain the reasons for food waste by retailers include inappropriate quality control overstocking and inaccurate forecasting this study shows that food wasted by retailers can be reduced by discounting old products or by applying a dynamically adjustable expiration date in other words dynamic shelf life dsl we developed a simulation based optimization model to optimize the replenishment and discounting policy of a retailer who sells meat products dsl outperforms a fixed shelf life fsl in terms of profit waste shortages and food safety furthermore replenishment quantities can be higher the benefits of dsl are greater when demand is low or when the shelf life of products is short discounting is a successful strategy to reduce food waste for both fsl and dsl dsl without discounting is more effective than fsl with discounting combining dsl and discounting allows for a further reduction of food waste

social rented housing in western europe developments and expectations what lies ahead for the social rented sector in western europe do countries differ merely in degree or do differences between countries offer grounds on which to sketch divergent scenarios for th

perishable inventory theory a review this paper reviews the relevant literature on the problem of determining suitable ordering policies for both fixed life perishable inventory and inventory subject to continuous exponential decay we consider both deterministic and stochastic demand for single and multiple products both optimal and sub optimal order policies are discussed in addition a brief review of the application of these models to blood bank management is included the review concludes with a discussion of some of the interesting open research questions in the area

an eoq model for perishable products with fixed shelf life under stochastic demand conditions abstract the paper presents a mathematical stochastic model for perishable open dating foods including shortage and outdating costs the demand fluctuations have been taken into account modeling them through a normal distribution and their impact on the storage time has been studied considering the stochastic nature of such a parameter in turn the quantification of perished products has been also addressed determining the probability for a product of remaining in stock beyond the end of its shelf life on the basis of such premises the optimal set of parameters that minimize the total unit cost has been determined a numerical application and a sensitivity analysis show the practical applicability of the proposed model in the context of warehouse management underlining managerial insights

an order level lot size inventory model with inventory level dependent demand and deterioration abstract many inventory models have been developed for various deteriorating items with constant demand rate it is a common experience that for perishable consumer goods the age of inventory has a negative impact on the demand due to the loss of consumer confidence on such product consumers tend to keep off perishable items which have reached closer to their expiry dates this paper describes an inventory model in which the demand is considered as a composite function consisting of a constant component and a variable component which is proportional to the inventory level in the periods when there is a positive inventory buildup the rate of production is considered finite and the decay rate as exponential the total cost function is composed of four cost components of all phases of the cycle backorder replenishment inventory buildup inventory depletion and shortage this cost function is later reduced to a two variable function using boundary relations to determine iteratively the set of values of the variables that resulted in minimum cost per cycle the optimum lot size and order level were then obtained with relations established previously results are demonstrated for an instance of the model

optimal ordering policy for stock dependent demand under progressive payment scheme abstract in this article a mathematical model is developed to formulate optimal ordering policies for retailer when demand is partially constant and partially dependent on the stock and the supplier offers progressive credit periods to settle the account the notion of progressive credit period is as follows if the retailer settles the outstanding amount by m the supplier does not charge any interest if the retailer pays after m but before second period n offered by the supplier then the supplier charges the retailer on the un paid balance at the rate ic 1 if the retailer settles the account after n then he will have to pay at interest rate ic 2 on the un paid balance ic 2 ic 1 the cost minimization is considered to be an objective function an algorithm is given to find the flow of optimal ordering policy a numerical illustration is given to study the effect of various parameters on ordering policy and total cost of an inventory system

unimodality of price setting newsvendor s objective function with multiplicative demand and its applications abstract we present a general solution framework for the price setting newsvendor problem with a multiplicative stochastic demand under mild assumptions such as increasing price elasticity on the mean demand function and increasing generalized failure rate on the distribution of the random factor we first prove that both the profit function with respect to price and its derived function with respect to order quantity are quasi concave three applications are then studied under our solution framework 1 we consider a wholesale price only contract by which a manufacturer sets a wholesale price and a newsvendor determines an order quantity and the retail price and show that the manufacturer s profit function is unimodal with respect to retailing price or stocking factor under certain conditions 2 we consider a newsvendor problem in which the demand depends on both the retail price and the level of sales effort and the cost exerting the sales effort is proportional to the order quantity we prove that there exists a unique pair of price and sales effort levels that maximize the total profit this result is established under a set of mild assumptions on the demand and cost functions 3 we identify a property in the single period profit function that satisfies condition 1 of huh and janakiraman 2008 which in turn guarantees the optimality of s s policy for an infinite stationary dynamic inventory price control system with lost sales and fixed order costs finally the unimodality of the newsvendor problem with a general stochastic and price sensitive demand is studied

inventory models with inventory level dependent demand a comprehensive review and unifying theory marketing researchers and practitioners have long recognized the demand of many retail items is proportional to the amount of inventory displayed recently two distinct types of inventory control models reflecting this relationship have appeared in the literature models in which the demand rate of an item is a function of the initial inventory level and those in which it is dependent on the instantaneous inventory level we present a comprehensive overview of this literature and demonstrate the equivalence of the two types of models through the use of a simple periodic review model an alternative approach to sensitivity analysis for inventory models with inventory level dependent demand is also presented

an inventory model with both stock dependent demand rate and stock dependent holding cost rate abstract in this paper we develop an inventory model under a stock dependent demand rate and stock dependent holding cost rate with relaxed terminal conditions shortages are allowed and partially backlogged in the model the purpose of this study is to determine the optimal order quantity and the ending inventory level such that the total profit per unit time is maximized for the retailer we first establish a proper model for a mathematical formulation then we develop several theoretical results and provide the decision maker with an algorithm to determine the optimal solution finally numerical examples are provided to illustrate the solution procedure and a sensitivity analysis of the optimal solution with respect to major parameters is carried out

the inefficiency of bitcoin revisited a dynamic approach abstract this letter revisits the informational efficiency of the bitcoin market in particular we analyze the time varying behavior of long memory of returns on bitcoin and volatility 2011 until 2017 using the hurst exponent our results are twofold first r s method is prone to detect long memory whereas dfa method can discriminate more precisely variations in informational efficiency across time second daily returns exhibit persistent behavior in the first half of the period under study whereas its behavior is more informational efficient since 2014 finally price volatility measured as the logarithmic difference between intraday high and low prices exhibits long memory during all the period this reflects a different underlying dynamic process generating the prices and volatility

optimal pricing and inventory control policy with quantity based price differentiation a firm facing price dependent stochastic demand aims to maximize its total expected profit over a planning horizon in addition to the regular unit selling price the firm can utilize quantity discounts to increase sales we refer to this dual pricing strategy as quantity based price differentiation at the beginning of each period the firm needs to make three decisions replenish the inventory set the unit selling price if the unit sales mode is deployed and set the quantity discount price if the quantity sales mode is deployed or the combination of the two modes of sales we identify conditions under which the optimal inventory control policy and selling pricing strategy is well structured remarkably under a utility based demand framework these conditions can be unified by a simple regularity assumption that has long been used in the auction and mechanism design literature moreover sharper structural results are yielded for the optimal selling strategy we also examine the comparative advantag

attitudes and behaviours of private sector landlords towards the energy efficiency of tenanted homes abstract the uk s housing stock generates approximately 27 of the country s total annual carbon emissions in light of the legally binding targets to reduce carbon emissions new housing is subject to a tightening of regulations governing energy demand and efficiency resulting in a gradual improvement in carbon emissions the question is how to achieve the deep carbon emission reductions from existing domestic properties of which 75 will still be in use in 2050 government has sought to provide incentives to homeowners to improve the energy efficiency of their households and mandate improvements in socially rented housing using a range of fiscal measures most recently the green deal there has however been little consideration of the 18 of uk households who privately rent their home a tenure that is growing fast the aim of this research is to investigate the factors that influence private sector landlords when considering energy efficiency improvements to their tenanted homes the results indicate that government policy has consistently failed to engage private sector landlords in the issue of energy efficiency and thus measures must be taken to understand the motivations of landlords in order to design effective incentives and interventions

inventory ordering policies of delayed deteriorating items under permissible delay in payments abstract the existing literature on inventory of deteriorating items considers deterioration to begin as soon as the items are stocked however there are several deteriorating items that do not start deteriorating immediately they are held in stock some farm produce like potatoes yams and even some fruits and vegetables have this property depletion of these items as soon as they are stocked will depend on demand and when deterioration begins it will depend on both demand and deterioration in this paper we develop a mathematical model on the inventory of deteriorating items that do not start deteriorating immediately they are stocked the model also takes into cognizance the fact that in business activities nowadays customers are given some allowed period within which to settle for the goods supplied to them they can use the accrued money from sales of the supplied goods to earn interest within the allowed period they are charged interest only when they fail to settle the amount they owe the supplier at the end of the allowed period

two stage perishable inventory models in this paper we consider perishable inventory systems with two types of demand demand may be for either fresh items or for somewhat older items we model the system with two inventory stages the first stage holds fresh items and the second stage holds the older items we approximate the performance of the two stage inventory system and compare two managerial policies

the economics of bitcoin price formation abstractthis is the first article that studies bitcoin price formation by considering both the traditional determinants of currency price e g market forces of supply and demand and digital currencies specific factors e g bitcoin attractiveness for investors and users the conceptual framework is based on the barro 1979 model from which we derive testable hypotheses using daily data for five years 2009 2015 and applying time series analytical mechanisms we find that market forces and bitcoin attractiveness for investors and users have a significant impact on bitcoin price but with variation over time our estimates do not support previous findings that macro financial developments are driving bitcoin price in the long run

an elasticity approach to the newsvendor with price sensitive demand we introduce a measure of elasticity of stochastic demand called the elasticity of the lost sales rate which offers a unifying perspective on the well known newsvendor with pricing problem this new concept provides a framework to characterize structural results for coordinated and uncoordinated pricing and inventory strategies concavity and submodularity of the profit function as well as sensitivity properties of the optimal inventory and price policies are characterized by monotonicity conditions or bounds on the elasticity of the lost sales rate these elasticity conditions are satisfied by most relevant demand models in the marketing and operations literature our results unify and complement previous work on price setting newsvendor models and provide a new tool for researchers modeling stochastic price sensitive demand in other contexts

an optimal replenishment policy for non instantaneous deteriorating items with stock dependent demand and partial backlogging abstract in this study we consider a problem of determining the optimal replenishment policy for non instantaneous deteriorating items with stock dependent demand in the model shortages are allowed and the backlogging rate is variable and dependent on the waiting time for the next replenishment the necessary and sufficient conditions of the existence and uniqueness of the optimal solution are shown as the special cases the results for the models with instantaneous or non instantaneous deterioration rate and with or without shortages are derived further we analytically identify the best circumstance among these special cases based on the minimum total relevant cost per unit time sensitivity analysis of the optimal solution with respect to major parameters is carried out finally four numerical examples are presented to demonstrate the developed model and the solution procedure

some stylized facts of the cryptocurrency market abstractwe examine the stylized facts of eight forms of cryptocurrencies representing almost 70 of cryptocurrency market capitalization in particular the empirical results show that 1 there ex

a note on probability distributions with increasing generalized failure rates distributions with an increasing generalized failure rate igfr have useful applications in pricing and supply chain contracting problems we provide alternative characterizations of the igfr property that lead to simplify verifying whether the igfr condition holds we also relate the limit of the generalized failure rate and the moments of a distribution

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

stack them high let em fly lot sizing policies when inventories stimulate demand in some retail contexts stocking large quantities of inventory may not only improve service levels but can also stimulate demand for products having demand rates that increase with inventory levels we analyze the effect of stocking decisions on firm profitability to develop managerial insights regarding the structure of the optimal inventory policy and to understand how this policy differs from traditional approaches when inventories stimulate demand iteratively applying the standard economic order quantity eoq model by setting the demand rate parameter equal to the observed average demand rate in prior cycles yields an equilibrium order quantity that is robust to demand parameter misestimation but is suboptimal the profit maximizing policy orders larger quantities and can replenish inventory even before on hand stock fully depletes using an extension of a standard inventory dependent demand model from the literature we first provide a convenient characterization of products that require early replenishment we demonstrate that the optimal cycle time is largely governed by the conventional trade off between ordering and holding costs whereas the reorder point relates to a promotions oriented cost benefit perspective we show that the optimal policy yields significantly higher profits than cost based inventory policies underscoring the importance of profit driven inventory management

optimal and heuristic inventory replenishment models for deteriorating items with exponential time varying demand abstract in this paper we present optimal and heuristic procedures for the inventory replenishment problem in which items are deteriorating at a constant rate the demand rates are changing exponentially with time over a known and finite planning horizon we have developed an iterative numerical procedure to find the optimal replenishment schedule the first two heuristics are based on the economic order interval approximation the third heuristic restricts all the replenishment cycles over the planning horizon to be equal over the planning horizon the last three heuristics are extended versions of the silver meal heuristic the least cost approach and the least unit cost heuristic which were used in the inventory literature for the case of discrete time varying demand without deterioration we further assess the cost and computation time effectiveness of the six heuristics the results of a sample of 1440 problems show that the extended least cost approach is the most cost effective

meeting the decent homes standard london housing associations asset management strategies the english government s 10 year flagship decent homes programme ended in 2010 the purpose of this article is to examine the asset management strategies that a sample of london housing associations took to meet the decent homes standard drawing on the concept of institutional logics the article outlines the social housing sector s conflicting regulatory context whereby organisations were statutorily obliged to improve housing standards without being able to raise rents as a way to fund improvements depending on whether the housing association adopts a market orientated or traditional task orientated approach to asset management the associations sampled have either disposed of non decent stock to generate cash flows or else retained the stock undertaking minimal repairs to meet the government s target deadline the article concludes that not only has this national performance target triggered different organisational responses it has also led to longer term unintended consequences for existing an

coordinating inventory control and pricing strategies with random demand and fixed ordering cost the finite horizon case we analyze a finite horizon single product periodic review model in which pricing and production inventory decisions are made simultaneously demands in different periods are random variables that are independent of each other and their distributions depend on the product price pricing and ordering decisions are made at the beginning of each period and all shortages are backlogged ordering cost includes both a fixed cost and a variable cost proportional to the amount ordered the objective is to find an inventory policy and a pricing strategy maximizing expected profit over the finite horizon we show that when the demand model is additive the profit to go functions arek concave and hence an s s p policy is optimal in such a policy the period inventory is managed based on the classical s s policy and price is determined based on the inventory position at the beginning of each period for more general demand functions i e multiplicative plus additive functions we demonstrate that the profit to go function is not necessarilyk concave and an s s p policy is not necessarily optimal we introduce a new concept the symmetrick concave functions and apply it to provide a characterization of the optimal policy

approximations for the relative outdating of perishable products by combining stochastic modeling simulation and regression modeling abstract in this paper we derive approximations for the expected amount of outdating waste in an inventory system with perishable products periodic review positive lead time fixed case pack sizes and a first in first out withdrawal policy demand is discrete and stochastic demand which is not met from inventory on hand will be lost the approximations can be used to evaluate how the amount of outdating can be reduced by changing the safety stock and or the product and demand characteristics we first derive approximations in an analytical way and then use regression to improve these approximations the final approximation is very fast and performs very well the mean and standard deviation of the approximation error are equal to 0 01 and 0 78 moreover the approximation is applicable in situations with parameter settings which are frequently encountered in practice and for which no other approximations have been derived in the literature before

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

crypto currency bubbles an application of the phillips shi yu 2013 methodology on mt gox bitcoin prices the creation of bitcoin heralded the arrival of digital or crypto currency and has been regarded as a phenomenon since its introduction it has experienced a meteoric rise in price and rapid growth accompanied by huge volatility swings and also attracted plenty of controversies which even involved law enforcement agencies hence claims abound that bitcoin has been characterized by bubbles ready to burst any time e g the recent collapse of bitcoin s biggest exchange mt gox this has earned plenty of coverage in the media but surprisingly not in the academic literature we therefore fill this knowledge gap we conduct an econometric investigation of the existence of bubbles in the bitcoin market based on a recently developed technique that is robust in detecting bubbles that of phillips et al 2013a over the period 2010 2014 we detected a number of short lived bubbles most importantly we found three huge bubbles in the latter part of the period 2011 2013 lasting from 66 to 106 days with the

optimal order quantity and pricing decisions in single period inventory systems abstract in this paper we consider simultaneous pricing and procurement decisions associated with a one period pure inventory model under deterministic or probabilistic demand we investigate the necessary and sufficient conditions for an type policy to be optimal for the determination of the procurement quantity we also show how the corresponding optimal price can be obtained

recent changes in the social rented sector in the netherlands the netherlands has a large and differentiated stock of social rented dwellings forming more than 40 per cent of the total housing stock housing associations are by far the largest providers of housing services in this sector traditionally these associations were subsidised heavily but since 1995 dutch government has no longer directly subsidised these associations this paper deals with changes in dutch housing associations in a period 1988 95 characterised by government austerity deregulation market conformity privatisation and promotion of home ownership it is explained how the housing associations were able to survive and even maintain prospects for a promising future in a political climate that threatened the social rented sector it is clear that housing associations can now operate more independently than in the past this is seen as a positive development but the government is now discovering the drawbacks of complete privatisation a firmer embedding in a public framework is considered

pricing and the news vendor problem a review with extensions in the newsvendor problem a decision maker facing random demand for a perishable product decides how much of it to stock for a single selling period this simple problem with its intuitively appealing solution is a crucial building block of stochastic inventory theory which comprises a vast literature focusing on operational efficiency typically in this literature market parameters such as demand and selling price are exogenous however incorporating these factors into the mode l can provide an excellent vehicle for examining how operational problems interact with marketing issues to influence decision making at the firm level in this paper we examine an extension of the newsvendor problem in which stocking quantity and selling price are set simultaneously we provide a comprehensive review that synthesizes existing results for the single period problem and develop additional results to enrich the existing knowledge base we also review and develop insight into a dynamic inventory extension of this problem and motivate the applicability of such models

a utility adjusted newsvendor model with stochastic demand abstract we develop a continuous time newsvendor model to determine the optimal inventory level for commodities in an established financial market unlike most models in literature the newsvendor is not necessarily risk neutral and chooses the order quantity that maximises the expected utility of the cash flow at the end of the period the newsvendor exploits the correlation between stochastic demand and the price of the commodities in order to manage risks by investing in a portfolio of financial instruments the decision problem therefore includes not only the determination of the optimal ordering policy but also at the same time the selection of a portfolio that maximises her utility further we demonstrate that our model compared to a myopic approach i e no hedging requires significantly lower levels of inventory buffer to mitigate demand uncertainty thus better utilising capital

optimal price markup policy for an inventory model with random price fluctuations and option for additional purchase abstract in this paper based on the analysis of empirical data of dealer and retailer prices and sales of cement as a prototype of functional products we develop a probabilistic inventory model for the situation when dealer s selling price fluctuates and affects the retailer s selling price demand is a function of price markup and retailer s purchase price dynamic price markup policy is proposed and optimal length of replenishment cycle and order quantity is obtained concavity of the profit function with respect to price markup is discussed a procurement policy which considers opportunity of purchase at a low price before the end of the optimal replenishment cycle is proposed and compared with other policies algorithm numerical examples sensitivity analysis and managerial insights are presented

explaining tenancy sustainment rates in british social rented housing the roles of management vulnerability and choice high rates of tenancy turnover in social rented housing have increasingly been identified as problematic both in the uk and elsewhere high turnover has been variously associated with management failings individual vulnerability or absence of tenant choice drawing on original research into prematurely terminated tenancies in glasgow we investigate explanatory factors associated with tenancy sustainment rates in doing so we interrogate the managerialist rationale which positions such residential mobility as potentially excessive and therefore problematic the empirical findings demonstrate evidence for all three posited explanations for high tenancy turnover but also suggest that some tenants vacating their homes after only a short time may be making a positive choice they also emphasise that in seeking to reduce early tenancy termination social landlords should recognise the importance of improving mainstream housing management services and the condition of the housing stock as well as

on an inventory model with deteriorating items and decreasing time varying demand and shortages in this paper we present an optimal procedure for finding the replenishment schedule for an inventory system with shortages in which items deteriorate at a constant rate and demand rates are decreasing over a known and finite planning horizon a numerical example is presented to illustrate the procedure

relationships among three assumptions in revenue management this note discusses the relationships among three assumptions that appear frequently in the pricing revenue management literature these assumptions are mostly needed for analytical tractability and they have the common property of ensuring a well behaved revenue function the three assumptions are decreasing marginal revenue with respect to demand decreasing marginal revenue with respect to price and increasing price elasticity of demand we provide proofs and examples to show that none of these conditions implies any other however they can be ordered from strongest to weakest over restricted regions and the ordering depends upon the region

risk commercialism and social purpose repositioning the english housing association sector originally seen as the third arm of uk housing policy the independent not for profit housing association sector had long been seen as effective in filling the gap where the state or market were unable to provide for households in need since the 1980s in particular successive governments had viewed housing associations in favourable terms as efficient semi autonomous social businesses capable of leveraging significant private funding by 2015 in contrast central government had come to perceive the sector as inefficient bureaucratic and wasteful of public subsidy making use of institutional theory this paper considers this paradigm shift and examines the organisational responses to an increasingly challenging operating environment by focusing in particular on large london housing associations the paper analyses their strategic decision making to address the opportunities and threats presented the paper argues that in facing an era of minimal subsidy low security and high risk the 2015 reforms represent a critical juncture for the sector housing organisations face a stark dilemma about whether to continue a strategy of profit for purpose or to embrace an unambiguously commercial ethos the article contends that the trajectory of decision making although not unidirectional leads ultimately towards an increased exposure to risk and vulnerability to changes in the housing market more fundamentally the attempt to reconcile social and commercial logics is likely to have wider consequences for the legitimacy of the sector

should retailers hold a perishable product having different ages the case of a homogeneous market and multiplicative demand model this paper specializes in investigating the common practice of the coexistence of multiple competing perishables each with different age and price all of which are associated with the same product the fundamental postulate investigated by our model is the replacement of the policy of selling a single product age with a policy of selling multiple product ages coexistence of multiple product ages on the shelf is associated with shorter cycle lengths as well as with providing consumers with the option of choosing between a fresher product on average and a cheaper product on average we use a utility corresponding to the factors of price and time we axiomatically assume the coexistence of multiple product ages while posing several propositions which present certain difficulties in preferring this policy with the support of a multiplicative demand with respect to price and time and by assuming that consumers are homogeneous in their preferences we analyze a deterministic version of the problem and derive the optimal pricing policy given any cycle length and any duration for which both types coexist on the shelf we prove that the optimal policy is not to sell multiple product types at all by means of a numerical example we show that the operational mode of the coexistence of multiple product ages reduces the retailer s profit per unit time by at least 15 sensitivity analysis of some of the most influential parameters is introduced the superiority of the single product age operational mode over the competitor mode sharply decreases as the optimal cycle length is approached

combined pricing and inventory control under uncertainty this paper addresses the simultaneous determination of pricing and inventory replenishment strategies in the face of demand uncertainty more specifically we analyze the following single item periodic review model demands in consecutive periods are independent but their distributions depend on the item s price in accordance with general stochastic demand functions the price charged in any given period can be specified dynamically as a function of the state of the system a replenishment order may be placed at the beginning of some or all of the periods stockouts are fully backlogged we address both finite and infinite horizon models with the objective of maximizing total expected discounted profit or its time average value assuming that prices can either be adjusted arbitrarily upward or downward or that they can only be decreased we characterize the structure of an optimal combined pricing and inventory strategy for all of the above types of models we also develop an efficient value iteration method to compute these optimal strategies finally we report on an extensive numerical study that characterizes various qualitative properties of the optimal strategies and corresponding optimal profit values

a risk averse newsvendor model under marketing dependency and price dependency abstract in this paper we analyze a single period inventory model where a risk averse newsvendor makes a joint decision on ordering pricing and marketing under the cvar risk measure criterion the newsvendor can exert marketing effort to enhance market demand we assume that the newsvendor s marketing effort affects the scale of the demand distribution and hence to model the marketing dependent demand as a multiplicative form we characterize sufficient conditions that guarantee existence and uniqueness of the optimal solutions under some mild assumptions on demand distribution expected demand function and marketing effort cost which are widely used in the related literature we show that the optimal order quantity increases in the newsvendor s marketing effort but the optimal price remains unchanged whether the demand is marketing dependent or not additionally we explore impact of exogenous parameters such as unit order cost salvage value and the newsvendor s risk aversion coefficient on the optimal decision variables and find that the optimal marketing effort always keeps the same changing direction with the optimal marketing independent order quantity as the exogenous parameters change this suggests that impact of the parameters on the optimal order quantity gets strengthened in the case of marketing dependent demand

coordinating inventory control and pricing strategies for perishable products we analyze a joint pricing and inventory control problem for a perishable product with a fixed lifetime over a finite horizon in each period demand depends on the price of the current period plus an additive random term inventories can be intentionally disposed of and those that reach their lifetime have to be disposed of the objective is to find a joint pricing ordering and disposal policy to maximize the total expected discounted profit over the planning horizon taking into account linear ordering cost inventory holding and backlogging or lost sales penalty cost and disposal cost employing the concept of l concavity we show some monotonicity properties of the optimal policies our results shed new light on perishable inventory management and our approach provides a significantly simpler proof of a classical structural result in the literature moreover we identify bounds on the optimal order up to levels and develop an effective heuristic policy numerical results show that our heuristic policy performs well in both stationary and nonstationary settings finally we show that our approach also applies to models with random lifetimes and inventory rationing models with multiple demand classes

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

optimal joint dynamic pricing advertising and inventory control model for perishable items with psychic stock effect abstract in this study a joint pricing advertising and inventory control problem will be investigated for a firm selling perishable products with psychic stock effect the proposed problem is analyzed in the deterministic multi period setting in which demand at each period depends on not only the amount of inventory displayed and advertising goodwill affected by the firm s current and past advertising efforts but also selling price and freshness index the objective is to determine the optimal pricing advertising and psychic stock strategies maximizing the discount total profit over the infinite planning horizon our theoretical results prove that the firm would adopt a static pricing strategy and then demonstrate that the optimal paths of the advertising goodwill and psychic stock can be determined uniquely we also show that the convergence of the advertising goodwill towards its equilibrium is from above or below depending on the relative location of the initial stock of advertising goodwill with respect to the unique equilibrium stock of advertising goodwill moreover a set of structural properties is developed to explore the relationships among the optimal decisions finally the concluding remarks and suggestions will be provided for future studies

optimal replenishment policies for non instantaneous deteriorating items with stock dependent demand abstract wu et al 2006 an optimal replenishment policy for non instantaneous deteriorating items with stock dependent demand and partial backlogging international journal of production economics 101 369 384 established an inventory model for non instantaneous deteriorating items with stock dependent demand and obtained the optimal replenishment policy in this paper we first amend wu et al s model by changing the objective to maximizing the total profit secondly we set a maximum inventory level in the model to reflect the facts that most retail outlets have limited shelf space thirdly we relax the restriction of zero ending inventory when shortages are not desirable we then establish the theoretical results and provide an algorithm to find the optimal solution finally we present some numerical examples to illustrate the results

enterprises compliance with government carbon reduction labelling policy using a system dynamics approach abstract a carbon reduction labelling scheme is an effective policy tool for motivating enterprises or organizations to reduce their life cycle based carbon emissions to benefit the environment this paper uses system dynamics to model enterprises compliance with a combined government policy instrument for a carbon reduction labelling scheme that is government subsidies and economic sanctions a case study of paper enterprises in china is provided to demonstrate the application of the proposed model in which two optional technological plans to reduce the enterprises carbon emissions are examined the technological plans are categorized as a low cost and high cost plan the simulation results show that both the technological plans are vulnerable to the combined policy making and the high cost plan shows superior environmental performance for carbon emissions reduction however the enterprises are more inclined to choose the low cost plan because of superior economic performance the study offers insights to help enterprises select optimal actions on carbon emissions reduction and to inform government of possible sustainable policy design to promote low carbon development the model limitations are discussed as a basis for further improvements in low carbon development

an inventory model for deteriorating items with stock dependent consumption rate and shortages under inflation and time discounting this paper derives an inventory model for deteriorating items with stock dependent consumption rate and shortages under inflation and time discounting over a finite planning horizon we show that the total cost function is convex with the convexity a simple solution algorithm is presented to determine the optimal order quantity and the optimal interval of the total cost function the results are discussed with a numerical example and particular cases of the model are discussed in brief a sensitivity analysis of the optimal solution with respect to the parameters of the system is carried out

volatility estimation for bitcoin a comparison of garch models we explore the optimal conditional heteroskedasticity model with regards to goodness of fit to bitcoin price data it is found that the best model is the ar cgarch model highlighting the significance of including both a short run and a long run component of the conditional variance

dynamic pricing of inventory capacity with infrequent price changes we consider a problem of dynamically pricing a single product sold by a monopolist over a short time period if demand characteristics change throughout the period it becomes attractive for the company to adjust price continuously to respond to such changes i e price discriminate intertemporally however in practice there is typically a limit on the number of times the price can be adjusted due to the high costs associated with frequent price changes if that is the case instead of a continuous pricing rule the company might want to establish a piece wise constant pricing policy in order to limit the number of price adjustments such a pricing policy which involves optimal choice of prices and timing of price changes is the focus of this paper we analyze the pricing problem with a limited number of price changes in a dynamic deterministic environment in which demand depends on the current price and time and there is a capacity inventory constraint that may be set optimally ahead of the selling season the arrival rate can evolve in time arbitrarily allowing us to model situations in which prices decrease increase or neither we consider several plausible scenarios where pricing and or timing of price changes are endogenized various notions of complementarity single crossing property supermodularity and total positivity are explored to derive structural results conditions sufficient for the uniqueness of the solution and the monotonicity of prices throughout the sales period furthermore we characterize the impact of the capacity constraint on the optimal prices and the timing of price changes and provide several other comparative statics results additional insights are obtained directly from the solutions of various special cases

price clustering in bitcoin investor and media attention in bitcoin has increased substantially in recently years reflected by the incredible surge in news articles and considerable rise in the price of bitcoin given the increased attention there little is known about the behaviour of bitcoin prices and therefore we add to the literature by studying price clustering we find significant evidence of clustering at round numbers with over 10 of prices ending with 00 decimals compared to other variations but there is no significant pattern of returns after the round number we also support the negotiation hypothesis of harris 1991 by showing that price and volume have a significant positive relationship with price clustering at whole numbers

exact accounting of inventory costs in stochastic periodic review models abstract most stochastic periodic review inventory models calculate inventory costs according to the inventory level at the end of the review cycle however in most cases actual inventory costs accrue at different time points over the course of the cycle suggesting that the outputs of these models might be suboptimal this work proposes a means of overcoming this deficiency by attributing inventory costs to their actual timing formulas are presented for the expected profit and for its corresponding optimality equation in various multi period models that follow complete or partial backlogging with or without spoilage stationary or varying inventory costs within cycle and immediate or postponed revenues we show that the optimality equation of all these model variants is a kind of newsvendor formula with modified demand distribution and cost parameters a simple approximation formula and bounds on the optimal order quantity which are based only on the demand distribution over the entire cycle are presented and combined together into an improved approximation formula numerical examples of a brownian motion demand process demonstrate the benefit of the proposed approximation in comparison to the simple approximation formula

inflation and the optimal inventory replenishment schedule within a finite planning horizon abstract the subject of this paper is the problem of finding the optimal replenishment schedule for an inventory subject to time dependent demand and deterioration within a finite time planning horizon it is shown that taking inflation into account has a profound effect on the solution of the problem for instance there is a critical number of replenishment periods in excess of which the optimal schedule is characterized by the inclusion of token orders at the end of the planning horizon this and other conclusions obtained via a careful mathematical analysis of the problem rectify those of earlier studies

can cryptocurrencies be a safe haven a tail risk perspective analysis abstractcryptocurrencies are one of the most promising financial innovations of the last decade different from major stock indices and the commodities of gold and crude oil the cryptocurrencies e

structural stochastic volatility in asset pricing dynamics estimation and model contest abstract in the framework of small scale agent based financial market models the paper starts out from the concept of structural stochastic volatility which derives from different noise levels in the demand of fundamentalists and chartists and the time varying market shares of the two groups it advances several different specifications of the endogenous switching between the trading strategies and then estimates these models by the method of simulated moments msms where the choice of the moments reflects the basic stylized facts of the daily returns of a stock market index in addition to the standard version of msm with a quadratic loss function we also take into account how often a great number of monte carlo simulation runs happen to yield moments that are all contained within their empirical confidence intervals the model contest along these lines reveals a strong role for a tamed herding component the quantitative performance of the winner model is so good that it may provide a standard for future research

financial and social returns in housing asset management theory and dutch housing associations practice this paper discusses how financial and social returns can be measured in relation to asset management in dutch housing associations the potential applications of performance measurement in housing asset management are assessed as well as the indicators that can be used to measure financial and social returns an explorative survey among dutch housing associations indicates that practice is poorly developed as far as the measurement of financial return is concerned a few associations operate in accordance with the theoretical ideal however many of them still follow a traditional book keeping approach which is unsuitable for supporting asset management decisions as far as social return is concerned the survey indicates that although associations collect a lot of data they do not really evaluate their performance by comparing their output against pre set targets or benchmarks the poorly developed evaluation of performance makes it difficult for housing associations to achieve the various objecti

an inventory system with demand dependent on both time and price assuming backlogged shortages abstract in this work we analyze an inventory model for items whose demand is a bivariate function of price and time it is supposed that the demand rate multiplicatively combines the effects of a time power function and a price logit function the aim is to maximize the profit per time unit assuming that the inventory cost per time unit is the sum of the holding shortage ordering and purchasing costs an algorithm is developed to find the optimal price the optimal lot size and the optimal replenishment cycle several numerical examples are introduced to illustrate the solution procedure

regulatory and organisational responses to restructured housing association finance in england and wales risk was shifted from government to housing associations during the late 1980s producing a very different operating environment for associations based around competition critical in this has been an increased emphasis on financial management the paper explores the impacts of these changes through an examination of the welsh regulator s housing for wales responses and through changing management and organisation within associations the policy responses by housing for wales indicate an increasing emphasis on social policy regulatory objectives though within a very interventionist framework which works to limit the ability of associations financially to plan their future innovations in housing associations are also examined to highlight organisational responses to the new environment these innovations have focused on the often uncritical importation of private sector management practices including telephone based housing management services demonstration projects and moves towards core periphery

optimal dynamic pricing and ordering decisions for perishable products abstract in this paper we determine the order quantity and the prices for a perishable product with a multiple period lifetime demands for products of different ages are dependent on the prices of mutually substitutable products the problem for a product with lifetime of two periods is first analyzed and the stochastic dynamic programming model is developed given the inventory level for the old product product of age 2 the expected profit is a concave function of the order quantity the price of the new product product of age 1 and the discounted price of the old product product of age 2 the computational results show that the total profit significantly increases when demand transfers between products of different ages are considered for a product with lifetime of longer than two periods a heuristic based on the optimal solution for a single period problem is proposed for a multiple period problem

long memory and efficiency of bitcoin under heavy tails the long memory is usually defined via auto covariances which further connect with hurst exponent the heavy tails in bitcoin returns can cause infinite auto covariances which make the analysis of

the effect of risk sensitivity on a supply chain of mobile applications under a consignment contract with revenue sharing and quality investment abstract the paper provides a thorough investigation of the revenue sharing contract format typically used in the mobile applications apps industry the platform provider sets the level of revenue sharing and the app developer determines the investment in quality and the selling price of the app the demand for an app which depends on both price and quality investment is assumed to be uncertain so the risk attitude of the supply chain members has to be considered specifically we focus on how risk sensitive behavior of supply chain members affects chain performance the members equilibrium strategies are analyzed under different attitudes toward risk averse neutral and seeking we show that the retailer s utility function has no effect on the equilibrium strategies and suggest schemes to identify these strategies for any utility function of the developer we find that i the revenue sharing contract circumvents the double marginalization effect associated with vertical competition and therefore yields the best selling price for the customer ii a decentralized supply chain sometimes performs better than a centralized one and iii a risk seeking developer may obtain a higher expected profit than does a risk neutral developer

strategic asset management in the social rented sector approaches of dutch and english housing associations in england and the netherlands in response to changes in housing policy and the market there is widespread enthusiasm for asset management in the social rented sector a key issue in both countries is the development of a strategic approach towards the formulation of asset management plans the paper examines this issue in relation to the current practice of housing associations in both countries drawing on case studies in england and the netherlands it is concluded that in both countries practice varies widely between housing associations some of the approaches adopted by front runners can be seen as models for other associations yet to develop a strategic approach towards asset management lessons can also be learnt across national boundaries though necessarily mediated by differences between the two housing systems

announcement effects in the cryptocurrency market cryptocurrencies have gained popularity as new economic investment assets globally in recent years this study examines market reactions to major news events associated with cryptocurrencies abnor

a general equilibrium model for industries with price and service competition this paper develops a stochastic general equilibrium inventory model for an oligopoly in which all inventory constraint parameters are endogenously determined we propose several systems of demand processes whose distributions are functions of all retailers prices and all retailers service levels we proceed with the investigation of the equilibrium behavior of infinite horizon models for industries facing this type of generalized competition under demand uncertainty we systematically consider the following three competition scenarios 1 price competition only here we assume that the firms service levels are exogenously chosen but characterize how the price and inventory strategy equilibrium vary with the chosen service levels 2 simultaneous price and service level competition here each of the firms simultaneously chooses a service level and a combined price and inventory strategy 3 two stage competition the firms make their competitive choices sequentially in a first stage all firms simultaneously choose a service level in a second stage the firms simultaneously choose a combined pricing and inventory strategy with full knowledge of the service levels selected by all competitors we show that in all of the above settings a nash equilibrium of infinite horizon stationary strategies exists and that it is of a simple structure provided a nash equilibrium exists in a so called reduced game we pay particular attention to the question of whether a firm can choose its service level on the basis of its own input characteristics i e its cost parameters and demand function only we also investigate under which of the demand models a firm under simultaneous competition responds to a change in the exogenously specified characteristics of the various competitors by either i adjusting its service level and price in the same direction thereby compensating for price increases decreases by offering improved inferior service or ii adjusting them in opposite directions thereby simultaneously offering better or worse prices and service