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雷达卡
Wiley | 2010 | ISBN: 0470400935 | 654 pages | mobi | 8 MB 注意书籍是mobi格式。
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●下载之前,建议你点击左侧我的头像下方的“+加关注”，以便第一时间免费下载我的资料，因为我通常免费两天到一周时间。专业发布美国一线流行教材（经济学和数学）●
简介：金融几乎已完全数学化，如果你想保证你的竞争力，先得有扎实的概率和统计基础吧，好了，这本书正是为你而写。这几位作者抱成团，出了一批书，人大出版社已引进了其中一两本。
In order to remain competitive in the intensely quantitative field of finance, you need a firm understanding of the foundations of finance: probability and statistics. Expert authors Svetlozar (Zari) Rachev, Markus Höchstötter, Frank Fabozzi, and Sergio Focardi have written Probability and Statistics for Finance for that reason.
Engaging and informative, this reliable guide not only covers introductory material on probability and statistics for students and practitioners, but also provides unique coverage of specific topics that are of special interest to finance professionals, researchers, and academics.
Divided into four comprehensive parts, Probability and Statistics for Finance:
Discusses descriptive statistics: the different methods for gathering data and presenting them in the most succinct way
Covers the basics of probability theory as well as the different types of probability distributions, parameters of a probability distribution, joint and conditional probability distributions, continuous probability distributions dealing with extreme events, and dependence measures for two random variables beyond the correlation measure such as the copula function
Explores statistical inference: the method of drawing information from sample data about unknown parameters of the population from which the sample was drawn
Provides in-depth coverage of the most widely used statistical tools in finance—multivarate regression analysis—from the basics to building models
To provide readers with a complete understanding of the various topics touched upon throughout, the book includes appendices that cover the fundamentals of functions and their features, matrix operations, and binomial and multinomial coefficients.
Written for both financial professionals and individuals aspiring to enter this field, Probability and Statistics for Finance addresses an array of important issues—from applying probability to portfolio management, asset pricing, risk management, and credit risk modeling to probability distributions that deal with extreme events and statistical measures. With this book, discover how probability and statistics can help you effectively navigate even the most complex financial terrain.
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