Finance Research: Books

This book explores mandatory disclosures and raises questions regarding the efficacy of market discipline in the context of te recent failures of Silicon Valley Bank and Credit Suisse. The book starts by asking the question why do we need mandatory disclosures and develops a framework using a Principal-Agent model that provides an economic rationale for such disclosures.

A leading economic historian presents a new history of financial crises. Examining seven turning points in financial history, the author shows how crashes prompted by a lack of supply, like the oil shortages of the 1970s, lead to greater globalization as markets expand and producers innovate to increase supply. By contrast, crises triggered by a lack of demand--such as the Global Financial Crisis of 2007-2008--result in less globalization as markets contract, austerity measures are imposed, and skepticism of government grows. By considering not only the times but also the observers who shaped our understanding of each crisis--from Karl Marx to John Maynard Keynes to Larry Summers--James shows how the uneven course of globalization has led to new economic thinking, and how understanding this history can help us better prepare for the future.

An incisive overview of the macroeconomics of financial crises--essential reading for students and policy experts alike. This book brings together the latest cutting-edge economic research to identify the seeds of these crashes, reveal their triggers and consequences, and explain what policymakers can do about them.

The book covers the entire spectrum of empirical finance, including: the predictability of asset returns, tests of the Random Walk Hypothesis, the microstructure of securities markets, event analysis, the Capital Asset Pricing Model and the Arbitrage Pricing Theory, the term structure of interest rates, dynamic models of economic equilibrium, and nonlinear financial models such as ARCH, neural networks, statistical fractals, and chaos theory. Assigned reading in some MFIN courses.

Although this publication went to press before the 2023 failure of Credit Suisse, it provides background that can help interested readers better understand those developments. This book provides a history of Swiss banking not confined to stereotypical opinions about secret numbered accounts. Instead, the presented history covers other intriguing events and developments beyond the famous issue of banking secrecy and the corresponding scandals. Topics covered in the book include the early financial innovations by banks in Geneva to handle the sovereign risk on bonds issued in pre-revolutionary France, the monetary chaos that led to the creation of the Swiss franc, the nineteenth century, post WWI role as a financial safe haven, the golden age of Swiss banking when Zurich was briefly one of the largest financial centres in the world, and the recent global financial crisis.

This book underscores the role of crises as turning points for the financial sector and its interactions with the real economy. It sheds new light on the financial industry through the lens of three recent crises - the global financial crisis, the sovereign debt crisis, and the COVID-19 pandemic.

This book requires no prior knowledge in AI or finance. To finance students and practitioners, this book will explain the promise of AI and its limitations. It will cover knowledge representation, modelling, simulation and machine learning. To computing students and practitioners, this book will introduce the financial applications in which AI has made an impact. This includes algorithmic trading, forecasting, risk analysis portfolio optimization and other less well-known areas in finance.

The book focuses on the benefits of portfolio management to the organization and how executives might use portfolio management to deliver organizational strategy.

The idea and practice of corporate sustainability is no longer a niche movement. Investors are increasingly paying attention to sustainability factors in their analysis and decision-making, thus reinforcing market transformation. In this book, high-level practitioners and academic thought leaders explain the forces behind these developments.

Want to know more about the current research from the field of intelligent systems with practical applications to the areas of decision-making, economics, business and finance? This book covers the psychological and behavioral aspects, and the theory of decision-support, design of intelligent systems and development of machine learning tools.

This book is a comprehensive review of the current methodologies used to value Early Stage Enterprises (ESEs) at fair value for financial reporting, investment, and mergers and acquisitions. It examines how to apply market analysis, discounted cash flows models, statistical techniques such as option pricing models (OPM) and Monte Carlo simulation, the venture capital method and non-GAAP metrics to ESE valuation. The text considers the most recent AICPA, Appraisal Foundation and IPEV guidance, real-world case studies, and examines developments in both academic research and venture capital investor practice.

Win the recruiting race with the ultimate analyst's guide to the interview. By merging a 'study guide' to the field with a forecast of the interview, this book helps you prepare for both content and structure you’ll meet in an interview because it helps you brush up on important topics while getting a preview of the questions your interviewers are likely to ask. It covers financial statements, valuation, mergers and acquisitions, and leveraged buyouts. The discussion also provides the answers to common technical questions while refreshing your understanding of the technical concepts behind core models and analyses. This guide will reinforce your knowledge and give you the confidence to handle anything they can throw at you.