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This book provides innovative solutions to fundamental problems in finance, such as the valuation of bond and equity, the pricing of debt, equity and total asset, the determination of optimal capital structure, etc., which are unsolved or poor-solved so far. The solutions in this book all have the following features: Based on essential assumptions in line with reality, the final solutions are analytical solutions with closed-form models, the forms and variables of the models are determined by strict and objective logic processes rather than chosen or presumed subjectively, such as the new growth model for stock valuation, the new CAPM accounting for total risk rather than only systematic risk, the real solution to optimal capital structure based on the trade-off between tax shield and bankruptcy cost. In addition, these basic solutions or models are adjusted easily to various application scenarios.
As indicated by the title, this book focuses on fundamental problems in finance: a logical dilemma in valuation, stock valuation methods/models, risk valuation, and optimal capital structure. It presents an innovative approach to logic and quantitative reasoning (without advanced mathematics) that delivers valuable results ---- convincing solutions to these problems. Readers in finance will definitely be interested in these solutions as well as the methods. In fact, these fundamental problems are essential in the field of finance, and they have remained unsolved (or partly unsolved) for decades. The solutions offered in this book are all sound in theory and feasible in practice, and will hopefully benefit both theoretic al research and practical decision-making.
Revision of: Fundamentals of healthcare finance / Louis C. Gapenski. c2013. 2nd ed.
An “intriguing plan” addressing shadow banking, regulation, and the continuing quest for financial stability (Financial Times). Years have passed since the world experienced one of the worst financial crises in history, and while countless experts have analyzed it, many central questions remain unanswered. Should money creation be considered a “public” or “private” activity—or both? What do we mean by, and want from, financial stability? What role should regulation play? How would we design our monetary institutions if we could start from scratch? In The Money Problem, Morgan Ricks addresses these questions and more, offering a practical yet elegant blueprint for a modernized system of money and banking—one that, crucially, can be accomplished through incremental changes to the United States’ current system. He brings a critical, missing dimension to the ongoing debates over financial stability policy, arguing that the issue is primarily one of monetary system design. The Money Problem offers a way to mitigate the risk of catastrophic panic in the future, and it will expand the financial reform conversation in the United States and abroad. “Highly recommended.” —Choice
Fundamentals of Corporate Finance, 5th Edition develops the key concepts of corporate finance with an intuitive approach while emphasizing computational skills. This course helps students develop an intuitive understanding of key financial concepts and provides them with problem-solving and decision-making skills. Using an intuitive approach, students develop a richer understanding of corporate finance concepts while also enabling them to develop the critical judgments necessary to apply financial tools in real-world decision-making situations. Corporate Finance, 5e offers a level of rigor that is appropriate for both business and finance majors and yet presents the content in a manner that students find accessible.
A practical problem solving reference for commodity and Forex derivatives Problems and Solutions in Mathematical Finance provides an innovative reference for quantitative finance students and practitioners. Using a unique problem-solving approach, this invaluable guide bridges the gap between the theoretical and practical to impart a deeper understanding of the mathematical problems encountered in the finance industry. Volume IV: Commodity and Foreign Exchange Derivatives breaks down the complexity of the topic by walking you step-by-step through a variety of modelling problems. Building skill upon skill, you'll work through a series of problems of increasing difficulty as you learn both the strategy and mechanics behind each solution. Coverage includes both theoretical and real-world problems, using stochastic calculus, probability theory and statistics, as well as an assumed understanding of exotic option and interest rate models covered in volumes II and III. Financial institutions rely on quantitative analysis to inform decision making on trading, hedging, investing, risk management and pricing. This book provides both instruction and reference from a highly practical perspective, giving you a highly applicable real-world skillset. Fully grasp the fundamentals of commodity and foreign exchange derivatives Follow mathematical modelling processes step-by-step Link theory to real-world problems through guided problem-solving Test your knowledge and skills with increasingly complex problem sets Commodity and Foreign Exchange Derivatives are a complex, nuanced area in the quantitative finance realm. Simply reading about these instruments fails to convey the level of understanding required to work with them; in the real-world, quants draw upon an in-depth knowledge of both finance and mathematics every day. Problems and Solutions in Mathematical Finance provides practical reference and problem-solving skills for anyone learning or working in quantitative finance.
Your complete guide to mastering basic and advanced techniques for interest rate derivative modeling and pricing Interest rate trading constitutes the largest sector of the world derivatives market. Interest rate contracts are a much valued risk management tool used by the majority of the world's largest companies. But interest rate derivative modeling and pricing are extremely challenging tasks, requiring a thorough knowledge and practical expertise in advanced discrete and continuous mathematical modeling methods–practical knowledge which can only be gained through extensive problem solving and the application of contemporary interest rate tools and models to an array of market scenarios. Authored by a distinguished team of quantitative analysts with extensive experience in the field, this second volume in the landmark Problems and Solutions in Mathematical Finance offers you a quick, painless way to acquire that knowledge and expertise. The only book offering a problems-and-solutions approach to teaching interest rate and inflation index derivatives modelling Walks you step-by-step through the theoretical aspects of interest rate and inflation indexed derivatives as well as broad range real-world problems Extremely practical, it bridges the gap between mathematical theory and the everyday reality of the financial markets An ideal text for quantitative finance students and an essential go-to resource for busy practitioners looking to refresh their knowledge and enhance their practical expertise
This handbook in two parts covers key topics of the theory of financial decision making. Some of the papers discuss real applications or case studies as well. There are a number of new papers that have never been published before especially in Part II.Part I is concerned with Decision Making Under Uncertainty. This includes subsections on Arbitrage, Utility Theory, Risk Aversion and Static Portfolio Theory, and Stochastic Dominance. Part II is concerned with Dynamic Modeling that is the transition for static decision making to multiperiod decision making. The analysis starts with Risk Measures and then discusses Dynamic Portfolio Theory, Tactical Asset Allocation and Asset-Liability Management Using Utility and Goal Based Consumption-Investment Decision Models.A comprehensive set of problems both computational and review and mind expanding with many unsolved problems are in an accompanying problems book. The handbook plus the book of problems form a very strong set of materials for PhD and Masters courses both as the main or as supplementary text in finance theory, financial decision making and portfolio theory. For researchers, it is a valuable resource being an up to date treatment of topics in the classic books on these topics by Johnathan Ingersoll in 1988, and William Ziemba and Raymond Vickson in 1975 (updated 2 nd edition published in 2006).
Financial Economics, Risk and Information presents the fundamentals of finance in static and dynamic frameworks with focus on risk and information. The objective of this book is to introduce undergraduate and first-year graduate students to the methods and solutions of the main problems in finance theory relating to the economics of uncertainty and information. The main goal of the second edition is to make the materials more accessible to a wider audience of students and finance professionals. The focus is on developing a core body of theory that will provide the student with a solid intellectual foundation for more advanced topics and methods. The new edition has streamlined chapters and topics, with new sections on portfolio choice under alternative information structures. The starting point is the traditional mean-variance approach, followed by portfolio choice from first principles. The topics are extended to alternative market structures, alternative contractual arrangements and agency, dynamic stochastic general equilibrium in discrete and continuous time, attitudes towards risk and towards inter-temporal substitution in discrete and continuous time; and option pricing. In general, the book presents a balanced introduction to the use of stochastic methods in discrete and continuous time in the field of financial economics.