Derivatives Analytics with Python
In this webcast you will learn how Python can be used for Derivatives Analytics and Financial Engineering. Dr. Yves J. Hilpisch will begin by covering the necessary background information, theoretical foundations and numerical tools to implement a market-based valuation of stock index options. The a...
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| Idioma: | Inglés |
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O'Reilly Media, Inc
2015.
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| Edición: | 1st edition |
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| Ver en Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009631386806719 |
| Sumario: | In this webcast you will learn how Python can be used for Derivatives Analytics and Financial Engineering. Dr. Yves J. Hilpisch will begin by covering the necessary background information, theoretical foundations and numerical tools to implement a market-based valuation of stock index options. The approach is a practical one in that all-important aspects are illustrated by a set of self-contained Python scripts.This webcast talk will cover:Financial Algorithm ImplementationMonte Carlo ValuationBinomial Option PricingPerformance LibrariesDynamic CompilingParallel Code ExecutionDX AnalyticsOverview and PhilosophyMulti-Risk Derivatives PricingGlobal ValuationWeb Technologies for Derivative Analytics |
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| Notas: | Title from title screen (viewed July 22, 2015) Date of publication taken from resource description page. |
| Descripción Física: | 1 online resource (1 video file, approximately 1 hr., 4 min.) |
