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- Authors: Richard A. DeFusco, Dennis W. McLeavey, Jerald E. Pinto, David E. Runkle
As a companion exercise book to the "Quantitative Investment Analysis" textbook, this book aims to help readers deeply understand and master the core concepts and practical methods of quantitative investment analysis through a large number of practical cases and exercises. The content covers mathematical and statistical techniques widely used in the financial field, including probability theory and probability distribution, sampling and estimation, hypothesis testing, correlation and regression analysis, multiple regression, time series analysis, and multi-factor models. This book emphasizes the combination of theory and practice, aiming to improve readers' skills in applying quantitative methods in investment analysis, so that they can better understand, retain and actually apply the knowledge they have learned.
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