Everyday Low Pricing: A Private Brand Growth Strategy in Traditional Food Retailers

This article aims to address the relationship between promotional pricing and everyday low pricing in strategically growing private brands in traditional food retailers. The study aims to expand the domain of previously researched private brands strategies by including a broader sales growth role than is normally found in the branding literature, particularly using private brands as a centerpiece of growth and not solely as a less expensive option to national brands. The gap in research we are addressing, and why our study is different, is twofold: There has been very little research in the area of taking traditional “mass categories” and implementing mass merchant tactics inside a conventional food format, and there has been very little research surrounding using private brands as the tactical fighter for a conventional food retailer.     

Pricing and Cost Recovery for Internet Services: Practical Review,Classification, and Application of Relevant Models

Suitable pricing models for Internet services represent one of the main prerequisites for a successfully running implementation of a charging and accounting system. This paper introduces general aspects influencing the choice of a pricing model in practical situations and presents a survey as well as a classification of relevant and advanced approaches to be found in the scientific literature. First performance results on charging extensions within the Internet are presented, which are completed by a set of market price simulations for dynamic pricing models within the same implementation environment. Based on cost model investigations some detailed insights into price and cost issues from an Internet Service Provider's (ISP) point of view are given. Moreover, current challenges as well as problems are discussed in a practical context as investigated in the Swiss National Science Foundation project Charging and Accounting Technology for the Internet (CATI).     

Retailer Dynamic Pricing and Ordering Decisions: Category Management versus Brand-by-Brand Approaches

This paper provides a framework for retailer pricing and ordering decisions in a dynamic category management setting. In this regard, the key contributions of this paper are as follows. First, we develop a multi-brand ordering and pricing model that endogenizes retailer forward buying and maximizes profitability for the category. The model considers (i) manufacturer trade deals to retailers, (ii) ordering costs incurred by the retailer, (iii) retailer forward buying behavior, and (iv) both own- and cross-price effects of all the brands in the category. Second, we use this model to compare differences in ordering and pricing decisions, and in profits, resulting from using a category management versus a brand-by-brand management approach. Our approach allows us to derive implications in a dynamic setting about the impact of interdependence among the brands upon decisions on pass-through of trade deals and retailer order quantity. We show that category management results in noticeably higher profits versus brand-by-brand and cost-plus (markup) approaches. Further, our results suggest an interaction between a brand's own-price effect and its cross-price effect emerges. If the cross-price effect for a brand is low - that is, the brand takes away relatively few sales from the other brands - the retail pass-through should increase with that brand's own-price effect. On the other hand, when the cross-price effect is high, the retail pass-through decreases with the brand's own-price effect.     

隐性交易成本与资产定价——基于上证180指数成份股票交易数据的实证研究

文章利用上证180指数成份股票的高频数据计算隐性交易成本,探讨其与资产定价的关系。发现:(1)隐性交易成本与换手率、规模和收益率都存在着明显的线性负相关关系。在股票收益率下降时期,隐性交易成本通过流动性深度成本间接影响股票收益率。(2)较之隐性交易成本,规模因素与换手率因素对收益率的影响有着更好的测度性。很可能是因为这两个因素与流动性深度成本也有着显著相关性。(3)隐性交易成本与规模因素整体上呈线性负相关关系,分段上的关系则很可能是凹函数与凸函数的组合。     

A Nonstandard Approach to Option Pricing

Nonstandard probability theory and stochastic analysis, as developed by Loeb, Anderson, and Keisler, has the attractive feature that it allows one to exploit combinatorial aspects of a well-understood discrete theory in a continuous setting. We illustrate this with an example taken from financial economics: a nonstandard construction of the well-known Black-Scholes option pricing model allows us to view the resulting object at the same time as both (the hyperfinite version of) the binomial Cox-Ross-Rubinstein model (that is, a hyperfinite geometric random walk) and the continuous model introduced by Black and Scholes (a geometric Brownian motion). Nonstandard methods provide a means of moving freely back and forth between the discrete and continuous points of view. This enables us to give an elementary derivation of the Black-Scholes option pricing formula from the corresponding formula for the binomial model. We also devise an intuitive but rigorous method for constructing self-financing hedge portfolios for various contingent claims, again using the explicit constructions available in the hyperfinite binomial model, to give the portfolio appropriate to the Black-Scholes model. Thus, nonstandard analysis provides a rigorous basis for the economists' intuitive notion that the Black-Scholes model contains a built-in version of the Cox-Ross-Rubinstein model.     

Successful New Product Pricing Practices: A Contingency Approach

The purpose of this study is to examine the success of new product pricing practices and the conditions upon which success is contingent. We distinguish three different pricing practices that refer to the use of information on customer value, competition, and costs respectively. Following Monroe's (1990) price discretion, we argue that the success of these practices is contingent on relative product advantage and competitive intensity. The hypotheses are tested on pricing decisions for new industrial products. Our results show that there are no general best or bad practices, but that a contingency approach is appropriate. These results may help reduce the complexity that managers experience in pricing new products.     

沪深300股指期货定价实证研究

股指期货是一种发展迅速的金融衍生产品,而合约定价问题是其重要研究方向之一。股指期货定价的基本方法是利用无套利定价原理得出的持有成本模型;而如果综合交易费用、融资成本、存贷款利差、保证金等市场因素,则可以得到股指期货的无套利定价区间。使用这两种模型对中国金融期货交易所的沪深300股指期货仿真交易合约进行实证分析,结果发现,实际交易价格和理论价格有较大偏差,市场中存在大量套利机会,定价效率有待提高。为此可以考虑的建议包括允许融资融券交易、推出沪深300指数ETF等。     

企业集团内外市场结算及内部转移定价的博弈分析

运用博弈论的基本原理,对企业集团内部各利润中心在销售和采购时是采用集团内部结算还是均针对整个外部市场,以及在相互结算时到底是采用以市场价格为基础的内部转移价格还是采用以总成本或变动成本为基础的内部转移价格的决策过程进行系统分析。结果表明,企业集团内部各利润中心在内外部结算的选择和内部转移价格的制定决策上是一种兼顾整个企业集团以及自身利益的理性选择过程。     

Partitioned Pricing in Advertising: Effects on Brand and Retailer Attitudes

This research highlights the negative attitudinal effect of partitioned pricing. The basis of this effect is that partitioned pricing tends to promote higher level of error in price recall. Consumers may not react favorably to the error especially when they perceive that the use of partitioned-price information is responsible for the mistake. This creates negative affect, which in turn unfavorably influences brand attitude formation/change. However, when consumers attribute responsibility of the price recall error to themselves or to the retailer sponsoring the ad, attitude toward the brand using partitioned-price information declines to a lesser extent.     

消费行为与企业战略的融合——不同零售业态的价格定位及其市场细分战略

现代零售业态发展趋于多元化,零售企业针对不同消费者的价格敏感程度来定位零售商品的价格,从而选择不同的销售渠道即经营业态,通过不同产品线的组合来满足不同层次消费者的需求。以此来体现企业的市场细分战略,形成顾客忠诚,实现其经济效益的最大化。     

A股市场新股的因素定价模型实证研究

现代股权定价理论对A股初始定价时存在缺陷,采用主成份回归法,确定影响A股初始定价的主因子,在此基础上建立初始定价模型。根据模型,影响A股初始定价的因素从高到低分别为:成本因子、投资偏好因子、市况因子、业绩成长性因子,实证结果与传统股票定价理论并不吻合。     

A Discrete‐Time Intertemporal Asset Pricing Model: GE Approach with Recursive Utility

This paper studies the equilibrium characterization of asset pricing in a discrete‐time Lucas exchange economy (Lucas 1978) with the intertemporal recursive utility function of Epstein and Zin (1989). A general formulation of equilibrium asset pricing is presented. It is shown that risk aversion of a certainty equivalent corresponds to risk aversion in the intertemporal asset pricing model. The discrete‐time analogue of Ma's (1993) option pricing formula is derived in an i.i.d. environment, with which we prove an observational nonequivalence theorem in distinguishing the differences of the betweenness recursive utility functions and the expected utility functions. Additionally, when the consumption growth rate follows a first-order Markov process, it is shown that the observational nonequivalence result holds for Kreps–Porteus expected utility. Finally, as by-products, this paper also contains derivations of closed-form formulas for the aggregate equity (with endogenously determined yields), the term structure of interest rates, and European call options on the aggregate equity in a Markov setting.     

The Transaction Index: A Method for Standardizing Comparisons of Transaction Characteristics Across Different Contexts

This article develops a transaction index (TI), a new method that facilitates comparisons of pricing behavior between reference and target groups of transactors across different types of transactions. The TI compares the target price, derived from the target group, to a transaction zone, which is a range of plausible prices in a negotiation established by the reference groups. These two groups should be conceptually related, for example, through a social association. Statistically, the index can bring transactions at widely differing price levels to a common level and standardize price volatility to facilitate comparisons across transactions. Conceptually, it incorporates a comparison of two groups into a single measure so that their relationship can be analyzed in terms of other variables. An application of a TI to friends' and strangers' pricing decisions reveals richer associations than those observed through more traditional analytic approaches.     

Product Category Pricing and Future Price Attractiveness: 99-Ending Pricing in a Memory-Based Context

Two experiments were used to examine the impact of 99-ending pricing on memory-based comparisons with a multiple product set. Results indicate that when a target is priced above/below a stimulus set, use of 99-ending prices for the highest and lowest prices in the stimulus set lessens target price attractiveness compared to when the highest and lowest prices are 00-ending. Attractiveness of targets priced within the stimulus set was not impacted by the use of 99- versus 00-ending pricing. Overall, participants appear to use an assimilation/contrast approach based upon left-digit processing in determining target price attractiveness.     

Option Pricing For Jump Diffusions: Approximations and Their Interpretation

We derive a computable approximation for the value of a European call option when prices satisfy a jump-diffusion model with the coefficients depending explicitly on time. This is achieved by approximating the original coefficients with functions that are piecewise constant in time. We give an interpretation of the approximating option values, in particular in the context of a discrete-time model associated with the approximating continuous-time model.     

A Note on Hedging in ARCH and Stochastic Volatility Option Pricing Models

Recently, Duan (1995) proposed a GARCH option pricing formula and a corresponding hedging formula. In a similar ARCH-type model for the underlying asset, Kallsen and Taqqu (1994) arrived at a hedging formula different from Duan's although they concur on the pricing formula. In this note, we explain this difference by pointing out that the formula developed by Kallsen and Taqqu corresponds to the usual concept of hedging in the context of ARCH-type models. We argue, however, that Duan's formula has some appeal and we propose a stochastic volatility model that ensures its validity. We conclude by a comparison of ARCH-type and stochastic volatility option pricing models.     

Role of Forgetting in Memory-Based Choice Decisions: A Structural Model

We propose a structural model to investigate the impact of forgetting on consumers' brand choice decisions in frequently purchased products. Forgetting results in consumers imperfectly recalling their prior brand evaluations when making a purchase decision in the category. We conceptualize the imperfect recall by positing that consumers recall their prior evaluations with noise. Based on prior research in the behavioral area, we characterize the extent of forgetting as an increasing and concave function of time. Our framework generates analytical results on the impact of forgetting on consumers' brand evaluations and their consequent purchase behavior. We calibrate our model using scanner panel data for liquid detergents. Furthermore, we obtain insights into the consumers' extent of forgetting in the category, extent of learning, predicted price elasticities and implications on state dependence and habit persistence. Our results underscore the importance of modeling consumers' ability to recall only imperfectly.     

Price Elasticity Dynamics over the Product Life Cycle: A Study of Consumer Durables

Extending the work of Parker (1992), which considers only firstpurchases, and Simon (1989), which considers brand-level sales, weempirically provide support for the hypothesis that total categorysales price elasticities first decease in absolute value but thenultimately increase if the product in question faces the decline phaseof the product life cycle (due to competitive substitutes, changes intastes, and so on). As an interesting artifact of the methodology, thearticle also shows how the Bass model can be easily modified to accountfor total category sales (first plus repeat purchases) and that, in thelimit, the Bass model converges to stochastic repeat purchase models(bridging two radically different modeling traditions). If unadjusted,the Bass model applied to sales data is grossly misspecified when thetime series studied exceeds five to ten years for consumer durables.     

需求不确定下多产品动态定价模型研究

制造商的多产品动态定价问题要考虑原材料的采购、多种产品的生产制造、库存,以及处理下游订单等的成本和未满足的需求及运送的前置时间。通过引入时空网络,建立使制造商期望利润最大的动态定价数学模型,实例分析表明,制造商期望利润最大化的最优价格、最优产品生产量与最优库存量能,是制造商制定合理的生产计划的决策依据。     

铁矿石国际贸易定价权与议价力的博弈分析

文章通过对铁矿石国际贸易定价的博弈分析,发现定价权能够带来先动优势,因而买卖双方内部寡头都有竞争定价权的动力,且竞争的相对强度决定了各自的议价力大小;在铁矿石国际贸易中,定价权竞争具有"弱者优势"效应,但其作用有限.因此,为应对铁矿石国际贸易持续上涨的压力,我国钢铁企业应综合考虑定价权竞争与议价力的提升,并以改变买卖双方定价权竞争的相对强度为目标设计博弈对策