CIMA f3 financial strategy,很好的书籍,CIMA学员必备
2020-01-03 11:30:05 7.25MB CIMA
1
Simon Benninga的第四版书,非常清楚,知识内容详尽,介绍了金融建模相关
2019-12-21 21:16:47 32.69MB excel 金融建模
1
13版,英文原版,James C. Van Horne/John M. Wachowicz. Jr
2019-12-21 20:54:45 9.16MB 财务管理 Financial Management
1
Modeling Derivatives Applications in Matlab, C++, and Excel 完整版,是学习matlab 在金融编程中应用的好书,是完整版,不同于网上的部分版
2019-12-21 20:43:43 34.83MB Financial Modelling matlab
1
Multivariate time series analysis considers simultaneously multiple time series. It is a branch of multivariate statistical analysis but deals specifically with dependent data. It is, in general, much more complicated than the univariate time series analysis, especially when the number of series considered is large. We study this more complicated statistical analysis in this book because in real life decisions often involve multiple inter-related factors or variables. Understanding the relationships between those factors and providing accurate predictions of those variables are valuable in decision making. The objectives of multivariate time series analysis thus include 1. To study the dynamic relationships between variables 2. To improve the accuracy of prediction
2019-12-21 20:33:46 5.49MB Time Series Financial Applications
1
Publication Date: November 17, 2010 | ISBN-10: 1441977864 | ISBN-13: 978-1441977861 | Edition: 2011 Financial engineers have access to enormous quantities of data but need powerful methods for extracting quantitative information, particularly about volatility and risks. Key features of this textbook are: illustration of concepts with financial markets and economic data, R Labs with real-data exercises, and integration of graphical and analytic methods for modeling and diagnosing modeling errors. Despite some overlap with the author's undergraduate textbook Statistics and Finance: An Introduction, this book differs from that earlier volume in several important aspects: it is graduate-level; computations and graphics are done in R; and many advanced topics are covered, for example, multivariate distributions, copulas, Bayesian computations, VaR and expected shortfall, and cointegration. The prerequisites are basic statistics and probability, matrices and linear algebra, and calculus. Some exposure to finance is helpful.
2019-12-21 20:25:59 11.4MB Portfolio Management
1
author- Edward E. Frees,-Regression Modeling with Actuarial and Financial Applications Cambridge University Press 2009 | 584 | ISBN: 0521135966
2019-12-21 20:12:40 4.34MB Regression Modeling
1
花钱从淘宝买的pdf完整扫描版《金融计算》,香港大学计算机系financial computing课的教材的中文版
2019-12-21 19:29:19 19.74MB 金融计算 教材 financial computing
1
High Frequency Financial Econometrics。高频交易模型
2019-12-21 18:58:12 4.3MB 高频交易 量化交易 金融工程
1
financial institution testbank
2019-12-21 18:55:39 130KB financial institution testbank
1