- Overview
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Financial Engineering, learning as little as you need and using it right away
- Book Intro
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This book provides the best possible explanation of stock, futures, options, and funding theories most commonly used in the financial field, and exercises the concepts in Excel. Furthermore, by learning big data coding techniques to collect and analyze unstructured data, it helps readers to implement financial engineering modeling directly in Python, such as designing products, measuring risk, and determining investment strategies, etc. This process is repeated for each subject, clearly telling what beginners in financial engineering should know.
- About the Author
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Yong-whan Kim
Although he started his career as a programmer at SK C&C, he moved to the Korea Exchange in anger over the fact that his friends in the financial sector live more gracefully and earn higher salaries, and has been working in the financial and IT fields for more than 15 years. After majoring in industrial engineering at Yonsei University, he earned an MBA at UC Irvine.
