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Inside the risk management and corporate governance issues behind capital structure decisions Practical ways of determining capital structures have always been mysterious and riddled with risks and uncertainties. Dynamic paradigm shifts and the multi-dimensional operations of firms further complicate the situation. Financial leaders are under constant pressure to outdo their competitors, but how to do so is not always clear. Capital Structure Decisions offers an introduction to corporate finance, and provides valuable insights into the decision-making processes that face the CEOs and CFOs of organizations in dynamic multi-objective environments. Exploring the various models and techniques used to understand the capital structure of an organization, as well as the products and means available for financing these structures, the book covers how to develop a goal programming model to enable organization leaders to make better capital structure decisions. Incorporating international case studies to explain various financial models and to illustrate ways that capital structure choices determine their success, Capital Structure Decisions looks at existing models and the development of a new goal-programming model for capital structures that is capable of handling multiple objectives, with an emphasis throughout on mitigating risk. Helps financial leaders understand corporate finance and the decision-making processes involved in understanding and developing capital structure Includes case studies from around the world that explain key financial models Emphasizes ways to minimize risk when it comes to working with capital structures There are a number of criteria that financial leaders need to consider before making any major capital investment decision. Capital Structure Decisions analyzes the various risk management and corporate governance issues to be considered by any diligent CEO/CFO before approving a project.
The research reported in this volume represents the second stage of a wide-ranging National Bureau of Economic Research effort to investigate "The Changing Role of Debt and Equity in Financing U.S. Capital Formation." The first group of studies sponsored under this project, which have been published individually and summarized in a 1982 volume bearing the same title (Friedman 1982), addressed several key issues relevant to corporate sector behavior along with such other aspects of the evolving financial underpinnings of U.S. capital formation as household saving incentives, international capital flows, and government debt management. In the project's second series of studies, presented at the National Bureau of Economic Research conference in January 1983 and published here for the first time along with commentaries from that conference, the central focus is the financial side of capital formation undertaken by the U.S. corporate business sector. At the same time, because corporations' securities must be held, a parallel focus is on the behavior of the markets that price these claims.
A comprehensive guide to making better capital structure and corporate financing decisions in today's dynamic business environment Given the dramatic changes that have recently occurred in the economy, the topic of capital structure and corporate financing decisions is critically important. The fact is that firms need to constantly revisit their portfolio of debt, equity, and hybrid securities to finance assets, operations, and future growth. Capital Structure and Corporate Financing Decisions provides an in-depth examination of critical capital structure topics, including discussions of basic capital structure components, key theories and practices, and practical application in an increasingly complex corporate world. Throughout, the book emphasizes how a sound capital structure simultaneously minimizes the firm's cost of capital and maximizes the value to shareholders. Offers a strategic focus that allows you to understand how financing decisions relates to a firm's overall corporate policy Consists of contributed chapters from both academics and experienced professionals, offering a variety of perspectives and a rich interplay of ideas Contains information from survey research describing actual financial practices of firms This valuable resource takes a practical approach to capital structure by discussing why various theories make sense and how firms use them to solve problems and create wealth. In the wake of the recent financial crisis, the insights found here are essential to excelling in today's volatile business environment.
Empirical Capital Structure reviews the empirical capital structure literature from both the cross-sectional determinants of capital structure as well as time-series changes.
In this paper, we examine the determinants of leverage in the context of China using a sample of 1844 Chinese non-financial firms over the period 2003 to 2010. This study shows that the average leverage ratio of Chinese listed firms is similar to those observed in other developing countries. The study also finds that size, tangibility, volatility and firm age are positively and significantly associated with leverage. Firm's profitability has statistically significant negative impact on leverage. Furthermore, we find that firm size, profitability, tangibility, volatility and firm age are the robust determinants of leverage of Chinese listed firms.
Capital structure theory is one of the most dynamic areas of finance and forms the basis for modern thinking on the capital structure of firms. Much controversy has resulted from comparisons of the theory of capital structure originally developed by Franco Modigliani and Merton Miller to real-world situations. Two competing theories have emerged over the years, the optimal capital structure theory and the pecking order theory.Arvin Ghosh begins with an overview of the controversies regarding capital structure theories, and then statistically tests both the optimal capital structure and pecking order theories. Using the binomial approach he analyzes the determinants of capital structure while discussing the role of market power in determining capital structure decisions. Ghosh probes the questions of new stock offerings and stockholders' returns, and analyzes capital structure and executive compensation. He then looks into debt financing ownership structure, and the controversal relationship between capital structure and firm profitability. Finally, he discusses the latest developments in the field of capital structure.A concise overview of a major issue in business economics and finance, this volume provides a fuller understanding of capital structure influence on the financial performance of firms, and will certainly stimulate further debate. While hundreds of scholarly articles have been written on the subject this is the first book to test competing theories against measurements of firms' performance and their underlying capital structure.
The determinants of the leverage of firms are widely used as a means to study optimal capital structure decisions. However, empirical studies do not agree on the importance of several commonly proposed determinants. We provide a dynamic capital structure model which endogenously generates the indeterminacy found in empirical studies, and thus we explain why such studies are inherently deemed to be problematic. Specif cally, we demonstrate how interdependence between leverage determinants can cause us to falsely reject important correlations. Our findings add to the insights of the challenges attached to understanding how firms choose their capital structure.
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.