This book is an introduction to financial valuation and financial data analyses using econometric methods. It is intended for advanced finance undergraduates and graduates. Most chapters in the book would contain one or more finance application examples where finance concepts, and sometimes theory, are taught.This book is a modest attempt to bring together several important domains in financial valuation theory, in econometrics modelling, and in the empirical analyses of financial data. These domains are highly intertwined and should be properly understood in order to correctly and effectively harness the power of data and statistical or econometrics methods for investment and financial decision-making.The contribution in this book, and at the same time, its novelty, is in employing materials in basic econometrics, particularly linear regression analyses, and weaving into it threads of foundational finance theory, concepts, ideas, and models. It provides a clear pedagogical approach to allow very effective learning by a finance student who wants to be well equipped in both theory and ability to research the data.This is a handy book for finance professionals doing research to easily access the key techniques in data analyses using regression methods. Students learn all 3 skills at once — finance, econometrics, and data analyses. It provides for very solid and useful learning for advanced undergraduate and graduate students who wish to work in financial analyses, risk analyses, and financial research areas.

Economists broadly define financial asset price bubbles as episodes in which prices rise with notable rapidity and depart from historically established asset valuation multiples and relationships. Financial economists have for decades attempted to study and interpret bubbles through the prisms of rational expectations, efficient markets, and equilibrium, arbitrage, and capital asset pricing models, but they have not made much if any progress toward a consistent and reliable theory that explains how and why bubbles (and crashes) evolve and can also be defined, measured, and compared. This book develops a new and different approach that is based on the central notion that bubbles and crashes reflect urgent short-side rationing, which means that, as such extreme conditions unfold, considerations of quantities owned or not owned begin to displace considerations of price.

This book is an introduction to the mathematical analysis of probability theory and provides some understanding of how probability is used to model random phenomena of uncertainty, specifically in the context of finance theory and applications. The integrated coverage of both basic probability theory and finance theory makes this book useful reading for advanced undergraduate students or for first-year postgraduate students in a quantitative finance course.The book provides easy and quick access to the field of theoretical finance by linking the study of applied probability and its applications to finance theory all in one place. The coverage is carefully selected to include most of the key ideas in finance in the last 50 years.The book will also serve as a handy guide for applied mathematicians and probabilists to easily access the important topics in finance theory and economics. In addition, it will also be a handy book for financial economists to learn some of the more mathematical and rigorous techniques so their understanding of theory is more rigorous. It is a must read for advanced undergraduate and graduate students who wish to work in the quantitative finance area.

Economists broadly define financial asset price bubbles as episodes in which prices rise with notable rapidity and depart from historically established asset valuation multiples and relationships. Financial economists have for decades attempted to study and interpret bubbles through the prisms of rational expectations, efficient markets, equilibrium, arbitrage, and capital asset pricing models, but they have not made much if any progress toward a consistent and reliable theory that explains how and why bubbles (and crashes) evolve and are defined, measured, and compared. This book develops a new and different approach that is based on the central notion that bubbles and crashes reflect urgent short-side rationing, which means that, as such extreme conditions unfold, considerations of quantities owned or not owned begin to displace considerations of price.

Corporate governance is a subject of high academic and practical significance in contemporary business. This book determines and analyzes the relationship between corporate governance and the value of a firm in emerging and developed financial markets by using econometric methods and models.

This four-volume handbook covers important concepts and tools used in the fields of financial econometrics, mathematics, statistics, and machine learning. Econometric methods have been applied in asset pricing, corporate finance, international finance, options and futures, risk management, and in stress testing for financial institutions. This handbook discusses a variety of econometric methods, including single equation multiple regression, simultaneous equation regression, and panel data analysis, among others. It also covers statistical distributions, such as the binomial and log normal distributions, in light of their applications to portfolio theory and asset management in addition to their use in research regarding options and futures contracts.In both theory and methodology, we need to rely upon mathematics, which includes linear algebra, geometry, differential equations, Stochastic differential equation (Ito calculus), optimization, constrained optimization, and others. These forms of mathematics have been used to derive capital market line, security market line (capital asset pricing model), option pricing model, portfolio analysis, and others.In recent times, an increased importance has been given to computer technology in financial research. Different computer languages and programming techniques are important tools for empirical research in finance. Hence, simulation, machine learning, big data, and financial payments are explored in this handbook.Led by Distinguished Professor Cheng Few Lee from Rutgers University, this multi-volume work integrates theoretical, methodological, and practical issues based on his years of academic and industry experience.

Entrepreneurial finance is a discipline that studies financial resource mobilization, resource allocation, risk moderation, optimization in financial contracting, value creation, and value monetization within the context of entrepreneurship. However, without proper strategic consideration the discipline is incomplete. This book examines how the activity of entrepreneurial finance can be enhanced via a concentration on value creation and through improved strategic decision-making. The most unique feature of the book is its focus on value creation. For entrepreneurs, value creation is not a one-off activity, but rather a continuous cycle of incremental improvements across a wide range of business activities. Entrepreneurial value creation is described in four comprehensive stages: value creation, value measurement, value enhancement, and value realization, referred to as the C-MER model. This book focuses on what creates value rather than merely presenting value creation in a straight accounting framework. At the same time, deliberate and tactical planning and implementation ensure that the firm does not ignore the components necessary for it to survive and flourish.Vigorous strategic deliberations maximize the entrepreneurial firm’s chances of making the right business decisions for the future, enable the firm to manage its available financial and non-financial resources in the most optimal manner, ensure that the necessary capital is secured to progress the development of the firm to its desired development level, and build value. While financial considerations are important, the field of strategic entrepreneurial finance represents a fusion of three disciplines: strategic management, financial management, and entrepreneurship. This orientation represents a natural evolution of scholarship to combine specific domains and paradigms of naturally connected business disciplines and reflects the need to simultaneously examine business topics from different perspectives which may better encapsulate actual entrepreneurial practices.

Nils Eikelmann describes the framework conditions for the application of value-based performance measures and critically analyses selected ones. The disclosure of value-based performance indicators is important in order to demonstrate the successful management of a company and to satisfy the increasing information needs of investors. However, companies adapt the developed theoretical concepts of value-based performance measures to their practical needs and thus investors are no longer able to compare the performance of companies. In addition, there is a variety of different metrics from which companies can choose. The empirical study aims to reduce existing research gaps and is divided into three parts: the analysis of annual reports of selected European companies, the calculation of a standardised value-based performance measure and a value relevance study in the form of an association study.

The first edition of Theory of Valuation is a collection of important papers in the field of theoretical financial economics published from 1973 to 1986, and original accompanying essays contributed by eminent researchers including Robert C Merton, Edward C Prescott, Stephen A Ross, and Joseph E Stiglitz.Since then, with the perspective of major theoretical strides in the field, the book has more than fulfilled its original expectations. The realization that it remains today a compendium of classic articles and a must-read for any serious student in theoretical financial economics, has prompted the publication of a new edition.This second edition presents a summary statement of significant research in theoretical financial economics for both the specialist and non-specialist financial economist. It also provides material for PhD-level courses covering valuation theory, and elective reading for advanced Master's and undergraduate courses.In addition to reproducing the original contributions, this edition includes the seminal paper by Edward C Prescott and Rajnish Mehra, “Recursive Competitive Equilibrium: The Case of Homogeneous Households,” originally published in Econometrica in 1980.