Use of quantitative data, especially in financial markets, may provide rapid results due to the ease-of-use and availability of fast computational software, but this book advises caution and helps to understand and avoid potential pitfalls.It deals w...Lasīt vairāk
Use of quantitative data, especially in financial markets, may provide rapid results due to the ease-of-use and availability of fast computational software, but this book advises caution and helps to understand and avoid potential pitfalls.It deals w...Lasīt vairāk
(Izdošanas datums: 20-Dec-2018, PDF+DRM, Izdevniecība: Oxford University Press, ISBN-13: 9780192564870)
Global capital markets have undergone fundamental transformations in recent years and, as a result, have become extraordinarily complex and opaque. Trading space is no longer measured in minutes or seconds but in time units beyond human perception: m...Lasīt vairāk
(Izdošanas datums: 17-Dec-2018, EPUB+DRM, Izdevniecība: Oxford University Press, ISBN-13: 9780192564887)
Global capital markets have undergone fundamental transformations in recent years and, as a result, have become extraordinarily complex and opaque. Trading space is no longer measured in minutes or seconds but in time units beyond human perception: m...Lasīt vairāk
Michael Doumpos, Constantin Zopounidis, Panos M. Pardalos
Sērija : Springer Optimization and Its Applications
(Izdošanas datums: 23-Jul-2012, PDF+DRM, Izdevniecība: Springer-Verlag New York Inc., ISBN-13: 9781461437734)
The increasing complexity of financial problems and the enormous volume of financial data often make it difficult to apply traditional modeling and algorithmic procedures. In this context, the field of computational intelligence provides an arsenal o...Lasīt vairāk
This book explores the intuitive appeal of neural networks and the genetic algorithm in finance. It demonstrates how neural networks used in combination with evolutionary computation outperform classical econometric methods for accuracy in forecastin...Lasīt vairāk
