Dynamic economics

quantitative methods and applications

This book is an effective, concise text for students and researchers that combines the tools of dynamic programming with numerical techniques and simulation-based econometric methods. Doing so, it bridges the traditional gap between theoretical and empirical research and offers an integrated framework for studying applied ...

Financial forecasting

These volumes invstigate varius aspects of financial forecasting incluiding the forecasting of earnings, bakruptcy, stock prices, interest rates, exchange rates and risk.

Time series with long memory

This volume provides in a convenient format for students and researchers the core papers in long memory time series analysis. Long memory time series are characterized by a strong dependence between distant events. Various methods and their theoretical properties are discussed, with empirical applications. The ...

Econometric modelling of European money demand

aggregation, cointegration, identification

The introduction of a single European currency constitutes a remarkable instance of internationalization of monetary policy. Whether a concomitant internationalization can be detected also in the econometric foundations of monetary policy is the problem dealt with in this book. Its basic theoretical ingredients comprise a ...

Stochastic modeling and optimization

with applications in queues, finance, and supply chains

This book covers the broad range of research in stochastic models and optimization. Applications covered include networks, financial engineering, production planning and supply chain management. Each contribution is aimed at graduate students working in operations research, probability, and statistics

Dealmaking

using Monte Carlo and real options analysis

Real Options Analysis (ROA) and Monte Carlo Analysis (MCA) are two of today#s most significant tools in the valuation and negotiation of high- potential-value, high-ambiguity deals. Dealmaking Using Real Options and Monte Carlo Analysis outlines a new approach for creating flexible, practical valuation models ...

Discrete choice methods with simulation

This book describes the new generation of discrete choice methods, focusing on the many advances that are made possible by simulation. Researchers use these statistical methods to examine the choices that consumers, households, firms, and other agents make. Each of the major models is covered ...

Dynamic models of advertising competition

The dynamic modelling and analysis of advertising competition continues to be a topic of importance to scholars and practitioners. The second edition of this text reviews empirical and analytical research on the topic and extends the research through analytical and numerical investigation. Three types of ...

Market response models

econometric and time series analysis

A guide to the use of market response models for planning and forecasting. The text can serve as a text for graduate students in marketing, as a guide for marketing scientists and as a handbook for marketing professionals. In each case the purpose has been ...

Asset pricing

discrete time approach

The theory of asset pricing has grown markedly more sophisticated since the early 1980s, with the application of powerful mathematical tools such as probability theory, stochastic processes and numerical analysis. The main goal of this text is to provide a systematic exposition, with practical applications ...

Quantitative models for performance evaluation and benchmarking

data development analysis with spreadsheets and DEA Excel solver

It is difficult to evaluate an organization's performance when there are multiple inputs and multiple outputs to the system. The difficulties are further enhanced when the relationships between the inputs and the outputs are complex and involve unknown tradeoffs. This work introduces DEA as ...

General equilibrium foundations of finance

structure of incomplete markets models

The purpose of this text is to give a sound economic foundation of finance based on the general equilibrium model with incomplete markets which embodies the famous CAPM as an important special case. This goal is achieved by giving reasonable restrictions on the agents' characteristics ...

Value-at-risk

theory and practice

Value-at-risk (VaR) is a measure of market risk that has been widely adopted since the mid-1990s for use on trading floors. This is the first advanced book published on VaR. It describes how to design, implement, and use scalable production VaR measures on actual trading ...

The theory of search games and rendezvous

Search Theory is one of the classic methodological disciplines in operations research and applied mathematics. It deals with the problem faced by a searcher who wishes to minimize the time required to find a hidden object. Traditionally, the target of the search is assigned to ...

Quantitative methods for trading and investment

This much-needed book, from a selection of top international experts, fills a gap by providing a manual of applied quantitative financial analysis. It focuses on advanced empirical methods for modelling financial markets in the context of practical financial applications. Data, software and techniques specifically aligned ...

Bayesian econometrics

Researchers in many fields are increasingly finding the Bayesian approach to statistics to be an attractive one. This book introduces the reader to the use of Bayesian methods in the field of econometrics at the advanced undergraduate or graduate level. The book is self-contained and ...

Elements of financial risk management

Value-at-Risk has emerged as the standard tool for measuring and reporting financial market risk. More than 80 commercial vendors offer enterprise or trading risk management systems that provide VAR-like measures. Risk managers are therefore often left with the daunting task of having to choose from ...

Dynamic programming in economics

Dynamic Programming in Economics is an outgrowth of a course intended for students in the first year PhD program and for researchers in Macroeconomics Dynamics. It can be used by students and researchers in Mathematics as well as in Economics. The purpose of Dynamic Programming ...

Life-cycle costing

using activity-based costing and Monte Carlo methods to manage future costs and risks

1. Introduction. What Does It Cost? .The Role of Life-Cycle Costing. Why Activity-Based Life-Cycle Costing? Notes. 2. Basics of Life-Cycle Costing. What Is a Life Cycle? What Is a Cost? Four Ways of LCC. Notes. 3. Uncertainty Analysis and Risk Management.What are Risk and ...

Modelling trends and cycles in economic time series

Modelling trends and cycles in economic time series has a long history, with the use of linear trends and moving averages forming the basic tool kit of economists until the 1970s. Several developments in econometrics then led to an overhaul of the techniques used to ...