Computation and Simulation for Finance An Introduction with Python /
This book offers an up-to-date introductory treatment of computational techniques applied to problems in finance, placing issues such as numerical stability, convergence and error analysis in both deterministic and stochastic settings at its core. The first part provides a welcoming but nonetheless...
Bewaard in:
| Hoofdauteur: | |
|---|---|
| Coauteur: | |
| Formaat: | Elektronisch E-boek |
| Taal: | Engels |
| Gepubliceerd in: |
Cham :
Springer International Publishing : Imprint: Springer,
2024.
|
| Editie: | 1st ed. 2024. |
| Reeks: | Springer Undergraduate Texts in Mathematics and Technology,
|
| Onderwerpen: | |
| Online toegang: | https://doi.org/10.1007/978-3-031-60575-8 |
| Tags: |
Voeg label toe
Geen labels, Wees de eerste die dit record labelt!
|
MARC
| LEADER | 00000nam a22000005i 4500 | ||
|---|---|---|---|
| 001 | 978-3-031-60575-8 | ||
| 003 | DE-He213 | ||
| 005 | 20260810170904.0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 240719s2024 sz | o |||| 0|eng d | ||
| 020 | |a 9783031605758 |9 978-3-031-60575-8 | ||
| 024 | 7 | |a 10.1007/978-3-031-60575-8 |2 doi | |
| 050 | 4 | |a H61.25 | |
| 072 | 7 | |a PBW |2 bicssc | |
| 072 | 7 | |a K |2 bicssc | |
| 072 | 7 | |a MAT003000 |2 bisacsh | |
| 072 | 7 | |a PBW |2 thema | |
| 072 | 7 | |a K |2 thema | |
| 082 | 0 | 4 | |a 519 |2 23 |
| 100 | 1 | |a Kelly, Cónall. |e author. |0 (orcid)0000-0002-9707-2822 |1 https://orcid.org/0000-0002-9707-2822 |4 aut |4 http://id.loc.gov/vocabulary/relators/aut | |
| 245 | 1 | 0 | |a Computation and Simulation for Finance |h [electronic resource] : |b An Introduction with Python / |c by Cónall Kelly. |
| 250 | |a 1st ed. 2024. | ||
| 264 | 1 | |a Cham : |b Springer International Publishing : |b Imprint: Springer, |c 2024. | |
| 300 | |a 1 online resource (XVI, 330 p. 69 illus.). |b 61 illus. in color. | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 341 | 0 | |b Table of contents navigation |2 onix | |
| 341 | 0 | |b Single logical reading order |2 onix | |
| 341 | 0 | |b Short alternative textual descriptions |2 onix | |
| 341 | 0 | |b Use of color is not sole means of conveying information |2 onix | |
| 341 | 0 | |b Use of high contrast between text and background color |2 onix | |
| 341 | 0 | |b Next / Previous structural navigation |2 onix | |
| 341 | 0 | |b All non-decorative content supports reading without sight |2 onix | |
| 347 | |a text file |b PDF |2 rda | ||
| 490 | 1 | |a Springer Undergraduate Texts in Mathematics and Technology, |x 1867-5514 | |
| 505 | 0 | |a - Part I Modelling Assets and Markets -- Introduction -- The Pricing of Financial Derivatives -- Part II Computational Pricing Methods in the Black-Scholes Framework -- Binomial Tree Methods -- Simulation I: Monte Carlo Methods -- Finite Difference Methods -- Part III Simulation Methods Beyond the Black-Scholes Framework -- Simulation II: Modelling Multivariate Financial Data -- Stochastic Models for Interest Rates -- Simulation III: Numerical Approximation of SDE Models. | |
| 520 | |a This book offers an up-to-date introductory treatment of computational techniques applied to problems in finance, placing issues such as numerical stability, convergence and error analysis in both deterministic and stochastic settings at its core. The first part provides a welcoming but nonetheless rigorous introduction to the fundamental theory of option pricing, including European, American, and exotic options along with their hedge parameters, and combines a clear treatment of the mathematical framework with practical worked examples in Python. The second part explores the main computational methods for valuing options within the Black-Scholes framework: lattice, Monte Carlo, and finite difference methods. The third and final part covers advanced topics for the simulation of financial processes beyond the standard Black-Scholes setting. Techniques for the analysis and simulation of multidimensional financial data, including copulas, are covered and will be of interest to those studying machine learning for finance. There is also an in-depth treatment of exact and approximate sampling methods for stochastic differential equation models of interest rates and volatilities. Written for advanced undergraduate and masters-level courses, the book assumes some exposure to core mathematical topics such as linear algebra, ordinary differential equations, multivariate calculus, probability, and statistics at an undergraduate level. While familiarity with Python is not required, readers should be comfortable with basic programming constructs such as variables, loops, and conditional statements. | ||
| 532 | 8 | |a Accessibility summary: This PDF does not fully comply with PDF/UA standards, but does feature limited screen reader support, described non-text content (images, graphs), bookmarks for easy navigation and searchable, selectable text. Users of assistive technologies may experience difficulty navigating or interpreting content in this document. We recognize the importance of accessibility, and we welcome queries about accessibility for any of our products. If you have a question or an access need, please get in touch with us at accessibilitysupport@springernature.com. | |
| 532 | 8 | |a No reading system accessibility options actively disabled | |
| 532 | 8 | |a Publisher contact for further accessibility information: accessibilitysupport@springernature.com | |
| 588 | |a Print version record. | ||
| 650 | 0 | |a Social sciences |x Mathematics. | |
| 650 | 0 | |a Mathematics |x Data processing. | |
| 650 | 1 | 4 | |a Mathematics in Business, Economics and Finance. |
| 650 | 2 | 4 | |a Computational Mathematics and Numerical Analysis. |
| 710 | 2 | |a SpringerLink (Online service) | |
| 773 | 0 | |t Springer Nature eBook | |
| 776 | 0 | 8 | |i Printed edition: |z 9783031605741 |
| 776 | 0 | 8 | |i Printed edition: |z 9783031605765 |
| 776 | 0 | 8 | |i Printed edition: |z 9783031605772 |
| 830 | 0 | |a Springer Undergraduate Texts in Mathematics and Technology, |x 1867-5514 | |
| 856 | 4 | 0 | |u https://doi.org/10.1007/978-3-031-60575-8 |
| 912 | |a ZDB-2-SMA | ||
| 912 | |a ZDB-2-SXMS | ||
| 950 | |a Mathematics and Statistics (SpringerNature-11649) | ||
| 950 | |a Mathematics and Statistics (R0) (SpringerNature-43713) | ||