Posted by **rotten comics** at Sept. 27, 2016

2001 | ISBN: 0321442539 | English | 825 pages | PDF | 141 MB

Posted by **ParRus** at June 3, 2016

WEBRip | English | MP4 + Project files | 960 x 540 | AVC ~154 kbps | 30.919 fps

AAC | 128 Kbps | 44.1 KHz | 2 channels | Subs: English (.srt) | 25:23:27 | 3.9 GB

Learn mathematical, programming and statistical tools used in the real world analysis and modeling of financial data. Apply these tools to model asset returns, measure risk, and construct optimized portfolios using the open source R programming language and Microsoft Excel. Learn how to build probability models for asset returns, to apply statistical techniques to evaluate if asset returns are normally distributed, to use Monte Carlo simulation and bootstrapping techniques to evaluate statistical models, and to use optimization methods to construct efficient portfolios.

Posted by **tot167** at June 8, 2011

Sp,.er | 2011 | ISBN: 3642200583 | 425 pages | PDF | 3,9 MB

Posted by **tot167** at March 25, 2010

Springer | 2009 | ISBN: 0387953760 | 770 pages | PDF | 4,4 MB

Posted by **tot167** at Dec. 28, 2009

Palgrave Macmillan | 2009 | ISBN: 140391799X | 1128 pages | PDF | 6,9 MB

Posted by **hue** at July 31, 2009

The MIT Press | 1998 | ISBN: 0262112353 | Pages: 468 | PDF | 3.53 MB

Posted by **tot167** at June 20, 2009

Oxford University Press | 2001 | ISBN: 0198293542 | 560 pages | PDF | 4,9 MB

Posted by **AvaxGenius** at July 27, 2017

English | PDF | 2017 | 467 Pages | ISBN : 3319607820 | 3.92 MB

This book presents the econometric foundations and applications of multi-dimensional panels, including modern methods of big data analysis.

The last two decades or so, the use of panel data has become a standard in many areas of economic analysis. The available models formulations became more complex, the estimation and hypothesis testing methods more sophisticated.

Posted by **hill0** at July 18, 2017

English | 20 July 2017 | ISBN: 3319564803 | 198 Pages | PDF | 8.82 MB

This is the second of a two-part guide to quantitative analysis using the IBM SPSS Statistics software package; this volume focuses on multivariate statistical methods and advanced forecasting techniques.

Posted by **libr** at July 9, 2017

English | September 18, 2000 | ISBN: 0521651166 | Pages: 336 | PDF | 2,9 MB