Data-Driven business decisions

A hands-on guide to the use of quantitative methods and software for making successful business decisions The appropriate use of quantitative methods lies at the core of successful decisions made by managers, researchers, and students in the field of business. Providing a framework for the ...

A theory of fairness and social welfare

The definition and measurement of social welfare have been a vexed issue for the past century. This book makes a constructive, easily applicable proposal and suggests how to evaluate the economic situation of a society in a way that gives priority to the worse-off and ...

Probability and finance theory

This book provides a basic grounding in the use of probability to model random financial phenomena of uncertainty, and is targeted at an advanced undergraduate and graduate level. It should appeal to finance students looking for a firm theoretical guide to the deep end of ...

Modelos de series temporales aplicados a rendimientos financieros

El objetivo de este libro es dar una panorámica de los principales modelos de series temporales que se aplican al análisis de datos financieros. Dado el enfoque empírico del texto, la primera parte del libro se dedica a resumir las principales características (#stylized facts#) presentes ...

Complete and incomplete econometric models

Econometric models are widely used in the creation and evaluation of economic policy in the public and private sectors. But these models are useful only if they adequately account for the phenomena in question, and they can be quite misleading if they do not. In ...

Forward-looking decision making

dynamic-programming models applied to health, risk, employment, and financial stability

Individuals and families make key decisions that impact many aspects of financial stability and determine the future of the economy. These decisions involve balancing current sacrifice against future benefits. People have to decide how much to invest in health care, exercise, their diet, and insurance ...

New developments in multiple objective and goal programming

Eds. Dylan Jones, Mehrdad Tamiz, Jana Ries. CONTENTS: Multi-objective Stochastic Programming Approaches for Supply Chain Management.- A Review of Goal Programming for Portfolio Selection.- A Hypervolume-Based Multiobjective Optimizer for High-Dimensional Objective Spaces.- Minimizing Vector Risk Measures.- Multicriteria Programming Approach to Development Project Design with an ...

Análisis de series temporales económicas II

Este libro es una introducción a la Econometría, válido para estudiantes de economía no iniciados en la materia y para toda persona interesada en el conocimiento de las técnicas econométricas, sea o no especialista en el campo económico. El volumen está centrado en la modelización ...

Handbook of financial econometrics. Vol. 2

Applications

Eds. Yacine Aït-Sahalia, Lars Peter Hansen. Applied financial econometrics subjects are featured in this second volume, with papers that survey important research even as they make unique empirical contributions to the literature. These subjects are familiar: portfolio choice, trading volume, the risk-return tradeoff, option pricing ...

Volatility and time series econometrics

essays in honor of Robert F. Engle. Advanced texts in econometrics

Eds. Tim Bollerslev, Jeffrey R. Russell, Mark W. Watson. Robert Engle received the Nobel Prize for Economics in 2003 for his work in time series econometrics. This book contains 16 original research contributions by some the leading academic researchers in the fields of time series ...

Modeling ordered choices

a primer

It is increasingly common for analysts to seek out the opinions of individuals and organizations using attitudinal scales such as degree of satisfaction or importance attached to an issue. Examples include levels of obesity, seriousness of a health condition, attitudes towards service levels, opinions on ...

Introducing Monte Carlo methods with R

Computational techniques based on simulation have now become an essential part of the statistician's toolbox. It is thus crucial to provide statisticians with a practical understanding of those methods, and there is no better way to develop intuition and skills for simulation than to ...

Real estate modelling and forecasting

As real estate forms a significant part of the asset portfolios of most investors and lenders, it is crucial that analysts and institutions employ sound techniques for modelling and forecasting the performance of real estate assets. Assuming no prior knowledge of econometrics, this book introduces ...

ARCH models for financial applications

"ARCH Models for Financial Applications" provides background on the theory of ARCH models, with a focus on practical implementation via applications to real data and examples worked with econometrics packages. The interactional exposition of the ARCH theory, and its implementation in practice that the authors ...

Fundamentals of traffic simulation

Ed. Jaume Barceló. The increasing power of computer technologies, the evolution of software engineering and the advent of Intelligent Transport Systems (ITS) worldwide has helped make traffic simulation one of the most used approaches for traffic analysis in support of the design and evaluation of ...

Social and economic networks

Networks of relationships help determine the careers that people choose, the jobs they obtain, the products they buy, and how they vote. The many aspects of our lives that are governed by social networks make it critical to understand how they impact behavior, which network ...

Non-parametric econometrics

This book allows those with a basic knowledge of econometrics to learn the main nonparametric and semiparametric techniques used in econometric modelling, and how to apply them correctly. It looks at kernel density estimation, kernel regression, splines, wavelets, and mixture models, and provides useful empirical ...

Nonlinear financial econometrics

Markov switching models, persistence and nonlinear cointegration

Eds. Greg N. Gregoriou, Razvan Pascalau. This book proposes new methods to value equity and model the Markowitz efficient frontier using Markov switching models. In particular, the book proposes that there are substantial differences between 'bull' and 'bear' market efficient portfolios that need to be ...

Modelling nonlinear economic time series

This book contains an extensive up-to-date overview of nonlinear time series models and their application to modelling economic relationships. It considers nonlinear models in stationary and nonstationary frameworks, and both parametric and nonparametric models are discussed. The book contains examples of nonlinear models in economic ...

Introduction to estimating economic models

This book's comprehensive coverage on the application of econometric methods to empirical analysis of economic issues is impressive. It uncovers the missing link between textbooks on economic theory and econometrics and highlights the powerful connection between economic theory and empirical analysis perfectly through examples ...