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1.1. Scope of the Book This book is a contribution to the area of "dynamic models of the firm". The motivation for this kind of research is the following: Empirical studies (e.g. Albach (1976)) have shown that the development of the firm over time can be divided into different stages. such as growth. stationarity and contraction. In order to understand and evaluate these stages in a proper way. it is important to develop a suitable theoretical framework. To that end. economists have applied dynamic mathematical techniques. such as optimal control theory. calculus of variations and dynamic programming to design and analyse dynamic models of the firm. In this way. the economic theory of the firm is extended to a dynamic context. Within the field of the dynamics of the firm this book - develops a general investment decision rule. based on the concept "net present value of marginal investment". which is applicable in deterministic dynamic models of the firm; - studies the influence of adjustment costs of investment on optimal dynamic firm behavior; - extends the stochastic dynamic theory of the firm by connecting it with a dynamic version of the Capital Asset Pricing Model. Before elaborating on "the dynamics of the firm". we first review the subject of net present value in the classical analysis.
This book contributes to the scientific field of optimal control theory applied to dynamic models of the firm. It discusses optimal investment, financing and production policies of the firm, that have to deal with a variety of aspects, such as financial constraints, start-up costs, business cycles, increasing returns to scale, production life cycles and experience curves. In contrast to many other publications on this subject, here, in combination with an analytical approach, the dynamic optimization problems are solved numerically with the aid of a powerful computer and specific programs for optimizing non-linear functions of a finite number of variables and non-linear constraints.
Presentation Many economic problems, as equilibrium models, input-output analysis, rational behaviour, etc. , are usually modelled in terms of operators in Euclidean spaces. This monograph deals with the analysis of a number of formal problems involving this kind of operators (with particular reference to complementarity problems and variational inequalities), and their applications to distributive problems and equilibrium models. Thus the purpose of this work is to provide a set of new results on the solvability of those problems, and a number of economic applications that will illustrate the interest of these results in economics. It is worth stressing from the very begining that our analysis concentrates on the existence (and in some cases optimality) of solutions. That is what is meant here by solvability (in particular, nothing will be said with respect to the uniqueness, stability, sensitivity analysis or computation of solutions). The results on the solvability of operator problems presented here, were actually arrived at as a way of solving specific economic models. Yet we are going to relate this case by somehow reversing the way it happened, that is, starting with the formal results and then presenting a number of economic models which appear as applications of VIII these formal results. The rationale for this approach is twofold. First, it provides a neat track via which to go through the whole work. Then, because I would like to emphasize the interest of complementarity and variational inequalities problems in economic modelling.
This monograph is intended for an advanced undergraduate or graduate course as well as for researchers, who want a compilation of developments in this rapidly growing field of operations research. This is a sequel to our previous works: "Multiple Objective Decision Making--Methods and Applications: A state-of-the-Art Survey" (No.164 of the Lecture Notes); "Multiple Attribute Decision Making--Methods and Applications: A State-of-the-Art Survey" (No.186 of the Lecture Notes); and "Group Decision Making under Multiple Criteria--Methods and Applications" (No.281 of the Lecture Notes). In this monograph, the literature on methods of fuzzy Multiple Attribute Decision Making (MADM) has been reviewed thoroughly and critically, and classified systematically. This study provides readers with a capsule look into the existing methods, their characteristics, and applicability to the analysis of fuzzy MADM problems. The basic concepts and algorithms from the classical MADM methods have been used in the development of the fuzzy MADM methods. We give an overview of the classical MADM in Chapter II. Chapter III presents the basic concepts and mathematical operations of fuzzy set theory with simple numerical examples in a easy-to-read and easy-to-follow manner. Fuzzy MADM methods basically consist of two phases: (1) the aggregation of the performance scores with respect to all the attributes for each alternative, and (2) the rank ordering of the alternatives according to the aggregated scores.
1 The Importance of Irreversibility and Learning - Familiar 11 Bxamples Revisited 1. 1 Neoclassical Investment Models: A Brief Survey 11 1. 1. 1 The Standard Neoclassical Investment Theory Model 13 1. 1. 2 The Investment Model with Adjustment Costs 15 1. 1. 3 The Irreversibility of Investment 17 1. 1. 4 Delivery Lags 18 1. 2 Flexible Manufacturing Systems 22 1. 2. 1 Some Basic Facts about Manufacturing 23 1. 2. 2 The Determinants of the Flexibility of Manufacturing Systems 25 1. 2. 3 Manufacturing as a Multiperiod Choice Problem 28 1. 3 Conclusions 30 2 The Role of Irreversibility and Learning in Sequential Decision Problems - Basic Concepts 33 2. 1 The Two-Period Model without Uncertainty 33 2. 1. 1 The Elements of the Model 34 2. 1. 2 Economic Examples 37 2. 1. 3 Some Basic Results 39 2. 1. 4 Intertemporal Opportunity Costs 42 2. 2 The Two-Period Model with Uncertainty 46 2. 2. 1 The Elements of the Kodel 46 2. 2. 2 Special Cases 50 2. 2. 3 Flexibility and the Value of Information 54 2. 2. 4 An Example: Waiting to Invest 56 2. 3 Switching Costs 59 2. 3. 1 The Extended Model 59 2. 3. 2 An Example: Money Demand as Demand for Flexibility 61 2. 4 Summary and Outlook 63 3 Determinants of the Optimal Choice in Sequential Decision Problems - The Two-Period Case 65 3. 1 The Formulation of the Problem 66 3. 1.
In this book overlapping generations economies are analysed from a game theoretical point of view and the social acceptability of consumption allocations is studied in infinite horizon models of pure exchange economieswith agents with finite lifetimes who behave cooperatively. The core of such economies and its relation with competitive equilibria, both walrasian and monetary and the essential characteristics of the overlapping generations model are examined. The author defines the problem of trust in intertemporal consumption allocations as a question of belonging or not to the core of economy and provides a full characterization of the core allocations for n-goods pure exchange economies with one agent per generation: a consumption allocation belongs to the core if and only it is Pareto optimal and Sequentially Individually Rational. From this it follows that for one commodity economies no consumption allocation involving intertemporal transfers can belong to the core of the economy. In other words, no monetary equilibrium is socially viable. This result is no longer true for many goods models. For that case it is demonstrated that there exist bounds on the real value of equilibrium money purchases beyond which monetary equilibria are not socially viableand with many agents in every generation it is shown that as the economy becomes large and monetary (as well as IOU) equilibria become eventually excluded from the core of the economy. These results provide an analytical rationale for the fact that in most countries fiat money is legal tender.
A bibliography on stochastic orderings. Was there a real need for it? In a time of reference databases as the MathSci or the Science Citation Index or the Social Science Citation Index the answer seems to be negative. The reason we think that this bibliog raphy might be of some use stems from the frustration that we, as workers in the field, have often experienced by finding similar results being discovered and proved over and over in different journals of different disciplines with different levels of mathematical so phistication and accuracy and most of the times without cross references. Of course it would be very unfair to blame an economist, say, for not knowing a result in mathematical physics, or vice versa, especially when the problems and the languages are so far apart that it is often difficult to recognize the analogies even after further scrutiny. We hope that collecting the references on this topic, regardless of the area of application, will be of some help, at least to pinpoint the problem. We use the term stochastic ordering in a broad sense to denote any ordering relation on a space of probability measures. Questions that can be related to the idea of stochastic orderings are as old as probability itself. Think for instance of the problem of comparing two gambles in order to decide which one is more favorable.
This book contains 30 selected, refereed papers from an in- ternational conference on bootstrapping and related techni- ques held in Trier 1990. Thepurpose of the book is to in- form about recent research in the area of bootstrap, jack- knife and Monte Carlo Tests. Addressing the novice and the expert it covers as well theoretical as practical aspects of these statistical techniques. Potential users in different disciplines as biometry, epidemiology, computer science, economics and sociology but also theoretical researchers s- hould consult the book to be informed on the state of the art in this area.
This monograph is a treatise on adjustment processes. We consider price adjustment processes in exchange economies and strategy adjustment processes in noncooperative games. In the most simple version of an exchange economy, i.e. a pure exchange economy, there exist markets on which prices are determined by the demand and supply created by a finite number of consumers willing to exchange their initial endowments in order to maximize their utilities. An equilibrium situation is attained if, for some price vector, demand equals supply in all markets. Starting from a situation not being an equi librium an adjustment process reaches an equilibrium via adaptations of prices. The advantage of the adjustment processes we will present in this monograph is that they exist and converge under far weaker assumptions than existing processes. The second subject concerns the problem of finding Nash equilibria in noncooperative games. A Nash equilibrium is a situation from which no player can improve his position by unilaterally changing his strategy. We present a new algorithm for finding such equilibria. The sequence of stra tegy vectors generated by the algorithm can be interpreted as the path followed by a strategy adjustment process.
In the last 25 years, the fuzzy set theory has been applied in many disciplines such as operations research, management science, control theory, artificial intelligence/expert system, etc. In this volume, methods and applications of crisp, fuzzy and possibilistic multiple objective decision making are first systematically and thoroughly reviewed and classified. This state-of-the-art survey provides readers with a capsule look into the existing methods, and their characteristics and applicability to analysis of fuzzy and possibilistic programming problems. To realize practical fuzzy modelling, it presents solutions for real-world problems including production/manufacturing, location, logistics, environment management, banking/finance, personnel, marketing, accounting, agriculture economics and data analysis. This book is a guided tour through the literature in the rapidly growing fields of operations research and decision making and includes the most up-to-date bibliographical listing of literature on the topic.