Special List
Author :
Publisher :
Page : 72 pages
File Size : 41,16 MB
Release : 1965
Category : Archives
ISBN :
Author :
Publisher :
Page : 72 pages
File Size : 41,16 MB
Release : 1965
Category : Archives
ISBN :
Author : United States. National Archives and Records Service
Publisher :
Page : 56 pages
File Size : 25,3 MB
Release : 1971
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Publisher :
Page : 568 pages
File Size : 12,32 MB
Release : 1917
Category : Aeronautics
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Author :
Publisher :
Page : 1198 pages
File Size : 49,15 MB
Release : 1906
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Author :
Publisher : Delene Kvasnicka
Page : 332 pages
File Size : 38,89 MB
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Page : 1106 pages
File Size : 15,8 MB
Release : 1970
Category : Aids to navigation
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Author : National Association of Retail Druggists (U.S.)
Publisher :
Page : 68 pages
File Size : 14,82 MB
Release : 1910
Category : Pharmaceutical industry
ISBN :
Author : Bertram K. C. Chan
Publisher : John Wiley & Sons
Page : 478 pages
File Size : 45,64 MB
Release : 2017-09-11
Category : Mathematics
ISBN : 111938804X
Illustrates how R may be used successfully to solve problems in quantitative finance Applied Probabilistic Calculus for Financial Engineering: An Introduction Using R provides R recipes for asset allocation and portfolio optimization problems. It begins by introducing all the necessary probabilistic and statistical foundations, before moving on to topics related to asset allocation and portfolio optimization with R codes illustrated for various examples. This clear and concise book covers financial engineering, using R in data analysis, and univariate, bivariate, and multivariate data analysis. It examines probabilistic calculus for modeling financial engineering—walking the reader through building an effective financial model from the Geometric Brownian Motion (GBM) Model via probabilistic calculus, while also covering Ito Calculus. Classical mathematical models in financial engineering and modern portfolio theory are discussed—along with the Two Mutual Fund Theorem and The Sharpe Ratio. The book also looks at R as a calculator and using R in data analysis in financial engineering. Additionally, it covers asset allocation using R, financial risk modeling and portfolio optimization using R, global and local optimal values, locating functional maxima and minima, and portfolio optimization by performance analytics in CRAN. Covers optimization methodologies in probabilistic calculus for financial engineering Answers the question: What does a "Random Walk" Financial Theory look like? Covers the GBM Model and the Random Walk Model Examines modern theories of portfolio optimization, including The Markowitz Model of Modern Portfolio Theory (MPT), The Black-Litterman Model, and The Black-Scholes Option Pricing Model Applied Probabilistic Calculus for Financial Engineering: An Introduction Using R s an ideal reference for professionals and students in economics, econometrics, and finance, as well as for financial investment quants and financial engineers.
Author : Nottingham (England). Public Libraries
Publisher :
Page : 462 pages
File Size : 21,68 MB
Release : 1910
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Page : 424 pages
File Size : 30,55 MB
Release : 1927
Category : Clocks and watches
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