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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| Format: | eBook |
| Language: | English |
| Published: |
O'Reilly Media, Inc.,
2015.
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| Edition: | 1st edition. |
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| Online Access: | Connect to this electronic resource |
| Summary: | 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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| Item Description: | Videorecording. |
| Physical Description: | 1 online resource (1 video file, approximately 1 hr., 4 min.) |
| Format: | Mode of access: World Wide Web. |