This textbook aims to fill the gap between those that offer a theoretical treatment without many applications and those that present and apply formulas without appropriately deriving them. The balance achieved will give readers a fundamental understanding of key financial ideas and tools that form the basis for building realistic models, including those that may become proprietary. Numerous carefully chosen examples and exercises reinforce the student’s conceptual understanding and facility with applications. The exercises are divided into conceptual, application-based, and theoretical problems, which probe the material deeper.
The book is aimed toward advanced undergraduates and first-year graduate students who are new to finance or want a more rigorous treatment of the mathematical models used within. While no background in finance is assumed, prerequisite math courses include multivariable calculus, probability, and linear algebra. The authors introduce additional mathematical tools as needed. The entire textbook is appropriate for a single year-long course on introductory mathematical finance. The self-contained design of the text allows for instructor flexibility in topics courses and those focusing on financial derivatives. Moreover, the text is useful for mathematicians, physicists, and engineers who want to learn finance via an approach that builds their financial intuition and is explicit about model building, as well as business school students who want a treatment of finance that is deeper but not overly theoretical.

An Introduction to Mathematical Finance with Applications: Understanding and Building Financial Intuition (Springer Undergraduate Texts in Mathematics and Technology)

Business & Money

Petters, Arlie O.

Dong, Xiaoying

Insurance

Springer

This book presents for the first time a detailed and comprehensive interpretation of Zhongguancun, China's first national self-dependent innovation demonstration zone.&nbsp; Explored in the book are examples of world-class, leading enterprises in fields, such as the Internet, big data, artificial intelligence, green and low-carbon, modern supply chain and high-end service.&nbsp; According to some data, the rate of contribution to the economic increase of Beijing made by Zhongguancun rose to 36.8% in 2015 from 17.9% in 2010.&nbsp; More specifically, in 2015, nearly 40% of the economic increase in Beijing was contributed by Zhongguancun Science Park.&nbsp; By 2017, Zhongguancun fostered 650 gazelle enterprises and 70 unicorn companies. The book also uniquely provides readers with a panoramic interpretation of the environment for innovation and entrepreneurship in Zhongguancun.&nbsp; It is mainly divided into three parts: History of Zhongguancun, Data of Zhongguancun, Cases of Zhongguancun and Policies of Zhongguancun. Through the depiction of history, data, cases and policy, this book clarifies that in most cases, enterprises in Zhongguancun become successes by following such a road characterized by starting from scratch and by relying on science and technology innovation and expanding from small to big by virtue of the capital market.&nbsp; &nbsp; ""Zhongguancun Model: Driving the Dual Engines of Science & Technology and Capital" deepens the reader's understanding of&nbsp; the new economy development in China and is essential reading for business/management researchers and practitioners, economists, IT specialists, and IT policy makers around the world. <div> </div>

Zhongguancun Model: Driving the Dual Engines of Science & Technology and Capital

Hu, Yanni

Yin, Weidong

Kuo, Estela

Economics

Huawei: From Catching Up To Leading

Yan, Mengling

Management & Leadership

Cisco: Integration of Innovation and Operation

Yu, Yan

Zhou, Jiali

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