股票内在市场价值的数学模型

本文建立了股票内在市场价值的数学模型，应用统计回归方法，求出了预报内在市场股价的非线性计算公式，给出了进出仓决策的方法和操作实例。     

The maximum return-on-investment plant location problem with market share

This paper examines the plant location problem under the objective of maximizing return-on-investment. However, in place of the standard assumption that all demands must be satisfied, we impose a minimum acceptable level on market share. The model presented takes the form of a linear fractional mixed integer program. Based on properties of the model, a local search procedure is developed to solve the problem heuristically. Variable neighbourhood search and tabu search heuristics are also developed and tested. Thus, a useful extension of the simple plant location problem is examined, and heuristics are developed for the first time to solve realistic instances of this problem.     

Analysing consumer segments to budget for loyalty and promotion programmes and maximize market share

This paper seeks to provide a framework and benchmark for the allocation of marketing budget between promotion and loyalty programmes using an approach that combines a Markov-type market share model and the Lagrange multiplier method to maximize market share. The Lagrange multiplier method, that takes into account the market share and the loyalty effect observable in preceding periods along with the estimated promotional effects, permits the allocation to be optimized and future market share to be maximized. Then, loyalty-based consumer segment are used to explain why the budgeting exercise can achieve the maximization objective. To this end, the study uses consumer panel data concerning three categories, namely, adult milk powder, shampoo, and detergent. It extends previous research on loyalty-based segmentation by focusing on the budget allocation between the two options of loyalty enhancement and promotion programming. A Budget Allocation Grid for Loyalty-based Segmentation is proposed as an aid to understand budget allocation between loyalty and promotion programmes based on the relative sizes of exclusive-loyalty and variety-seeking segments.     

A new approach to evaluate the market share of service industries

The purpose of this paper is to apply the model of stochastic networks (networks of quasi-reversible stations) to customer brand-choice behaviour for studying the market share of some service undustries such as in life insurance. We estimate the market share and the mean unit sales of a specified brand in a static market. The model involves use time, customer loyalty, brand switching, initial purchasing and market share variation.