Quantitative Investment Analysis (CFA Institute Investment Series) 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2024


Quantitative Investment Analysis (CFA Institute Investment Series)

简体网页||繁体网页
Richard A. DeFusco CFA 作者
Wiley
译者
2007-1 出版日期
566 页数
USD 95.00 价格
Hardcover
丛书系列
9780470052204 图书编码

Quantitative Investment Analysis (CFA Institute Investment Series) 在线电子书 图书标签: CFA  Quantitative  经济  Economics  待购  师道  原版  P1肯定读   


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发表于2024-12-23


Quantitative Investment Analysis (CFA Institute Investment Series) 在线电子书 epub 下载 mobi 下载 pdf 下载 txt 下载 2024

Quantitative Investment Analysis (CFA Institute Investment Series) 在线电子书 epub 下载 mobi 下载 pdf 下载 txt 下载 2024

Quantitative Investment Analysis (CFA Institute Investment Series) 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2024



Quantitative Investment Analysis (CFA Institute Investment Series) 在线电子书 用户评价

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Basic Financial Engineering

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痿汗还是很够意思的,下次再看这本书的时候估计就是考CFA的时候了。。

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Basic Financial Engineering

评分

痿汗还是很够意思的,下次再看这本书的时候估计就是考CFA的时候了。。

评分

感觉蛮水的……

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Quantitative Investment Analysis (CFA Institute Investment Series) 在线电子书 pdf 下载 txt下载 epub 下载 mobi 在线电子书下载

Quantitative Investment Analysis (CFA Institute Investment Series) 在线电子书 图书描述

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In the Second Edition of Quantitative Investment Analysis, financial experts Richard DeFusco, Dennis McLeavey, Jerald Pinto, and David Runkle outline the tools and techniques needed to understand and apply quantitative methods to today′s investment process. Now, in Quantitative Investment Analysis Workbook, Second Edition, they offer you a wealth of practical information and exercises that will further enhance your understanding of this discipline. This essential study guide––which parallels the main book chapter by chapter––contains challenging problems and a complete set of solutions as well as concise learning outcome statements and summary overviews. If you′re looking to successfully navigate today′s dynamic investment environment, the lessons found within these pages can show you how. Topics reviewed include: The time value of money Discounted cash flow Probability distributions Sampling and estimation Hypothesis testing Multiple regression Time–series analysis And much more

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