eBook
Financial Modelling in Python
| Title: | Financial Modelling in Python |
|---|---|
| Description: | 'Fletcher and Gardner have created a comprehensive resource that will be of interest not only to those working in the field of finance, but also to those using numerical methods in other fields such as engineering, physics, and actuarial mathematics. By showing how to combine the high-level elegance, accessibility, and flexibility of Python, with the low-level computational efficiency of C++, in the context of interesting financial modeling problems, they have provided an implementation template which will be useful to others seeking to jointly optimize the use of computational and human resources. They document all the necessary technical details required in order to make external numerical libraries available from within Python, and they contribute a useful library of their own, which will significantly reduce the start-up costs involved in building financial models. This book is a must read for all those with a need to apply numerical methods in the valuation of financial claims.'–David Louton, Professor of Finance, Bryant University This book is directed at both industry practitioners and students interested in designing a pricing and risk management framework for financial derivatives using the Python programming language. It is a practical book complete with working, tested code that guides the reader through the process of building a flexible, extensible pricing framework in Python. The pricing frameworks'loosely coupled fundamental components have been designed to facilitate the quick development of new models. Concrete applications to real-world pricing problems are also provided. Topics are introduced gradually, each building on the last. They include basic mathematical algorithms, common algorithms from numerical analysis, trade, market and event data model representations, lattice and simulation based pricing, and model development. The mathematics presented is kept simple and to the point. The book also provides a host of information on practical technical topics such as C++/Python hybrid development (embedding and extending) and techniques for integrating Python based programs with Microsoft Excel. |
| Authors: | Shayne Fletcher, Christopher Gardner |
| Resource Type: | eBook. |
| Subjects: | Finance--Mathematical models--Computer programs, Python (Computer program language) |
| Categories: | BUSINESS & ECONOMICS / Finance / General |
| Database: | eBook Index |
| FullText | Text: Availability: 0 |
|---|---|
| Header | DbId: edsebk DbLabel: eBook Index An: 346409 RelevancyScore: 881 AccessLevel: 6 PubType: eBook PubTypeId: ebook PreciseRelevancyScore: 880.771789550781 |
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| Items | – Name: Title Label: Title Group: Ti Data: Financial Modelling in Python – Name: Abstract Label: Description Group: Ab Data: 'Fletcher and Gardner have created a comprehensive resource that will be of interest not only to those working in the field of finance, but also to those using numerical methods in other fields such as engineering, physics, and actuarial mathematics. By showing how to combine the high-level elegance, accessibility, and flexibility of Python, with the low-level computational efficiency of C++, in the context of interesting financial modeling problems, they have provided an implementation template which will be useful to others seeking to jointly optimize the use of computational and human resources. They document all the necessary technical details required in order to make external numerical libraries available from within Python, and they contribute a useful library of their own, which will significantly reduce the start-up costs involved in building financial models. This book is a must read for all those with a need to apply numerical methods in the valuation of financial claims.'–David Louton, Professor of Finance, Bryant University This book is directed at both industry practitioners and students interested in designing a pricing and risk management framework for financial derivatives using the Python programming language. It is a practical book complete with working, tested code that guides the reader through the process of building a flexible, extensible pricing framework in Python. The pricing frameworks'loosely coupled fundamental components have been designed to facilitate the quick development of new models. Concrete applications to real-world pricing problems are also provided. Topics are introduced gradually, each building on the last. They include basic mathematical algorithms, common algorithms from numerical analysis, trade, market and event data model representations, lattice and simulation based pricing, and model development. The mathematics presented is kept simple and to the point. The book also provides a host of information on practical technical topics such as C++/Python hybrid development (embedding and extending) and techniques for integrating Python based programs with Microsoft Excel. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Shayne+Fletcher%22">Shayne Fletcher</searchLink><br /><searchLink fieldCode="AR" term="%22Christopher+Gardner%22">Christopher Gardner</searchLink> – Name: TypePub Label: Resource Type Group: TypPub Data: eBook. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Finance--Mathematical+models--Computer+programs%22">Finance--Mathematical models--Computer programs</searchLink><br /><searchLink fieldCode="DE" term="%22Python+%28Computer+program+language%29%22">Python (Computer program language)</searchLink> – Name: SubjectBISAC Label: Categories Group: Su Data: <searchLink fieldCode="ZK" term="%22BUSINESS+%26+ECONOMICS+%2F+Finance+%2F+General%22">BUSINESS & ECONOMICS / Finance / General</searchLink> |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=346409 |
| RecordInfo | BibRecord: BibEntity: Classifications: – Code: 332.02855133 Scheme: ddc Type: prePub Languages: – Code: eng Text: English Subjects: – SubjectFull: Finance--Mathematical models--Computer programs Type: general – SubjectFull: Python (Computer program language) Type: general Titles: – TitleFull: Financial Modelling in Python Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Shayne Fletcher – PersonEntity: Name: NameFull: Christopher Gardner – PersonEntity: Name: NameFull: Shayne Fletcher – PersonEntity: Name: NameFull: Christopher Gardner IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Type: published Y: 2009 – D: 04 M: 02 Type: profile Y: 2014 Identifiers: – Type: isbn-print Value: 9780470987841 – Type: isbn-electronic Value: 9780470747896 Titles: – TitleFull: Financial Modelling in Python Type: main |
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