Banking and Insurance


Book Description




The Digital Journey of Banking and Insurance, Volume III


Book Description

This book, the third one of three volumes, focuses on data and the actions around data, like storage and processing. The angle shifts over the volumes from a business-driven approach in “Disruption and DNA” to a strong technical focus in “Data Storage, Processing and Analysis”, leaving “Digitalization and Machine Learning Applications” with the business and technical aspects in-between. In the last volume of the series, “Data Storage, Processing and Analysis”, the shifts in the way we deal with data are addressed.




The Digital Journey of Banking and Insurance, Volume I


Book Description

This book, one of three volumes, showcases the effective transformation of companies providing banking and insurance services. This first volume gives a business-oriented introduction to the setting and the current challenges of fintech, regtech, and insurtech and provides an outlook on what will be needed in the future. Specific sub-departments in financial services are examined with a view to accounting, risk, and regulatory segments. The book also addresses the importance of cultural aspects of the coming digital transformation with an eye to requirements that will enable a digital bank or insurance company to thrive in 2025. The angle shifts over the volumes from a business-driven approach in “Disruption and DNA” to a strong technical focus in “Data Storage, Processing and Analysis”, leaving “Digitalization and Machine Learning Applications” with the business and technical aspects in-between.




The Digital Journey of Banking and Insurance, Volume II


Book Description

This book, the second one of three volumes, gives practical examples by a number of use cases showing how to take first steps in the digital journey of banks and insurance companies. The angle shifts over the volumes from a business-driven approach in “Disruption and DNA” to a strong technical focus in “Data Storage, Processing and Analysis”, leaving “Digitalization and Machine Learning Applications” with the business and technical aspects in-between. This second volume mainly emphasizes use cases as well as the methods and technologies applied to drive digital transformation (such as processes, leveraging computational power and machine learning models).




Handbook of Blockchain, Digital Finance, and Inclusion, Volume 1


Book Description

Handbook of Blockchain, Digital Finance, and Inclusion, Volume 1: Cryptocurrency, FinTech, InsurTech, and Regulation explores recent advances in digital banking and cryptocurrency, emphasizing mobile technology and evolving uses of cryptocurrencies as financial assets. Contributors go beyond summaries of standard models to describe new banking business models that will be sustainable and will likely dictate the future of finance. The volume not only emphasizes the financial opportunities made possible by digital banking, such as financial inclusion and impact investing, but it also looks at engineering theories and developments that encourage innovation. Its ability to illuminate present potential and future possibilities make it a unique contribution to the literature. - Explores recent advances in digital banking and cryptocurrency, emphasizing mobile technology and evolving uses of cryptocurrencies as financial assets - Explains the practical consequences of both technologies and economics to readers who want to learn about subjects related to their specialties - Encompasses alternative finance, financial inclusion, impact investing, decentralized consensus ledger and applied cryptography - Provides the only advanced methodical summary of these subjects available today




Financial Management of Life Insurance Companies


Book Description

th This book is published to commemorate the 50 Anniversary of the S.S. Huebner Foundation for Insurance Education. Administered at the Wharton School of the University of Pennsylvania, the Huebner Foundation was established in 1941 to strengthen insurance education at the collegiate level by increasing the number of professors specializing in insurance and enriching the literature in the field. The financial support of leading life insurance companies has enabled the Foundation to provide post-graduate education for prospective insurance teachers and scholars. Through its fellowship program, the Foundation supports students in the Ph.D. program in Risk and Insurance at the Wharton School. The success of the Foundation is measured by the accomplishments of its alumni. Former Huebner Fellows play leading roles in every major area of insurance education. Fellows teach insurance to tens of thousands of undergraduate and MBA students each year and have written hundreds of books and thousands of articles on insurance. Fellows hold leadership positions at the American College, the Life Office Management Association, and the Certified Employee Benefit Specialist Program. The Foundation was created in honor of Dr. Solomon S. Huebner, a pioneer in insurance education. Dr. Huebner taught the first organized course on the economics of insurance ever offered at the collegiate level in 1904. An internationally recognized author and teacher, Dr. Huebner had a profound impact on both insurance education and the insurance industry. He served on the faculty of the Wharton School for more than nearly fifty years.




Continuous-Time Models in Corporate Finance, Banking, and Insurance


Book Description

Continuous-Time Models in Corporate Finance synthesizes four decades of research to show how stochastic calculus can be used in corporate finance. Combining mathematical rigor with economic intuition, Santiago Moreno-Bromberg and Jean-Charles Rochet analyze corporate decisions such as dividend distribution, the issuance of securities, and capital structure and default. They pay particular attention to financial intermediaries, including banks and insurance companies. The authors begin by recalling the ways that option-pricing techniques can be employed for the pricing of corporate debt and equity. They then present the dynamic model of the trade-off between taxes and bankruptcy costs and derive implications for optimal capital structure. The core chapter introduces the workhorse liquidity-management model—where liquidity and risk management decisions are made in order to minimize the costs of external finance. This model is used to study corporate finance decisions and specific features of banks and insurance companies. The book concludes by presenting the dynamic agency model, where financial frictions stem from the lack of interest alignment between a firm's manager and its financiers. The appendix contains an overview of the main mathematical tools used throughout the book. Requiring some familiarity with stochastic calculus methods, Continuous-Time Models in Corporate Finance will be useful for students, researchers, and professionals who want to develop dynamic models of firms' financial decisions.




Bank On Yourself


Book Description

The Wall Street Journal, USA Today, and BusinessWeek bestseller Bank On Yourself: The Life-Changing Secret to Growing and Protecting Your Financial Future reveals the secrets to taking back control of your financial future that Wall Street, banks, and credit card companies don’t want you to know. Can you imagine what it would be like to look forward to opening your account statements because they always have good news and never any ugly surprises? More than 100,000 Americans of all ages, incomes, and backgrounds are already using Bank On Yourself to grow a nest-egg they can predict and count on, even when stocks, real estate, and other investments tumble. You’ll meet some of them and hear their stories of how Bank On Yourself has helped them reach a wide variety of short- and longterm personal and financial goals and dreams in this book.




Asset and Liability Management for Banks and Insurance Companies


Book Description

This book introduces ALM in the context of banks and insurance companies. Although this strategy has a core of fundamental frameworks, models may vary between banks and insurance companies because of the different risks and goals involved. The authors compare and contrast these methodologies to draw parallels between the commonalities and divergences of these two services and thereby provide a deeper understanding of ALM in general.




FDIC Quarterly


Book Description