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Cover art for Big Data Science in Finance

Big Data Science in Finance

Data science has fundamentally changed Wall Street--applied mathematics and software code are increasingly driving finance and investment-decision tools. Big Data Science in Finance: Mathematics and Applications is an important, up-to-date resource for students in economics, econometrics, finance, applied mathematics, industrial engineering, and business courses, and for investment managers, quantitative traders, risk and portfolio managers, and other financial practitioners.

Cover art for Financial Managers

Financial Managers

If you are interested in a career as financial manager or moving up into that role, you've come to the right book. So what exactly do these people do on the job, day in and day out? What kind of skills and educational background do you need to succeed in this field? How much can you expect to make, and what are the pros and cons of these various professions? This book can help you answer these questions and more. 

Cover art for Fintech Dictionary

FinTech Dictionary

What is a blockchain framework? What is crowdlending or an ICO? The Fintech Dictionary helps readers in clarifying key terms that have emerged in the vivid field of financial technology (fintech). It links keywords from banking and insurance, from information technology as well as from innovation management. The collection of over 830 keywords presents the reader concise and up-to-date definitions of terms in an alphabetical order. It should serve students and interested parties from academia and practice alike.

Cover art for Investing Amid Low Expected Returns ebook

Investing amid Low Expected Returns

The past windfall leaves retirement savers and investors now facing the prospect of record-low future expected returns. Emphasizing this pressing challenge, the book highlights the role that timeless investment practices - discipline, humility, and patience - will play in enabling investment success. It then assesses current investor practices and the body of empirical evidence to illuminate the building blocks for improving long-run returns in today's environment and beyond. It concludes by reviewing how to put them together through effective portfolio construction, risk management, and cost control practices.

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