Quantitative Finance with Case Studies in Python (inbunden, eng)
Quantitative Finance with Case Studies in Python (inbunden, eng)
Gästpris:
Ditt medlemspris:
1 168 kr
1 353 kr
Kampanjpris! (-6%)
Kampanjpris! (-19%)
- Inköpspriser för medlemmar (Logga in)
- Frakt från 0 kr
- 14 dagars öppet köp
Frågor? Starta chatt
Quantitative Finance with Case Studies in Python: A Practical Guide to Investment Management, Trading and Financial Engineering bridges the gap between the theory of mathematical finance and the practical applications of these concepts for derivative pricing and portfolio management.
The book provides students with a very hands-on, rigorous introduction to foundational topics in quant finance, such as options pricing, portfolio optimization and machine learning. Simultaneously, the reader benefits from a strong emphasis on the practical applications of these concepts for institutional investors.
This new edition includes brand new material on data science and AI concepts, including large language models, as well as updated content to reflect the transition from Libor to SOFR to bring the text right up to date. It also includes expanded material on inflation and mortgage-backed securitie, more trade ideas embedded in each chapter and also via a dedicated chapter analyzing a set of derivatives trades.
There are additional examples throughout based on recent market dynamics, including the post-Covid inflation shock and its impact on risk parity strategies. Overall, the new edition is designed to be even more of a practical tool than the first edition, and more firmly rooted in real-world data, applications, and examples.
Features Useful as both a teaching resource and as a practical tool for professional investorsIdeal textbook for first year graduate students in quantitative finance programs, such as those in master’s programs in Mathematical Finance, Quant Finance or Financial EngineeringIncludes a perspective on the future of quant finance techniques, and in particular covers concepts of Machine Learning and Artificial IntelligenceFree-to-access repository with Python codes available at www.routledge.com/ 9781032014432 and on https://github.com/lingyixu/Quant-Finance-With-Python-Code.[CK1]
The book provides students with a very hands-on, rigorous introduction to foundational topics in quant finance, such as options pricing, portfolio optimization and machine learning. Simultaneously, the reader benefits from a strong emphasis on the practical applications of these concepts for institutional investors.
This new edition includes brand new material on data science and AI concepts, including large language models, as well as updated content to reflect the transition from Libor to SOFR to bring the text right up to date. It also includes expanded material on inflation and mortgage-backed securitie, more trade ideas embedded in each chapter and also via a dedicated chapter analyzing a set of derivatives trades.
There are additional examples throughout based on recent market dynamics, including the post-Covid inflation shock and its impact on risk parity strategies. Overall, the new edition is designed to be even more of a practical tool than the first edition, and more firmly rooted in real-world data, applications, and examples.
Features Useful as both a teaching resource and as a practical tool for professional investorsIdeal textbook for first year graduate students in quantitative finance programs, such as those in master’s programs in Mathematical Finance, Quant Finance or Financial EngineeringIncludes a perspective on the future of quant finance techniques, and in particular covers concepts of Machine Learning and Artificial IntelligenceFree-to-access repository with Python codes available at www.routledge.com/ 9781032014432 and on https://github.com/lingyixu/Quant-Finance-With-Python-Code.[CK1]
| Format | Inbunden |
| Omfång | 726 sidor |
| Språk | Engelska |
| Förlag | Taylor & Francis Ltd |
| Utgivningsdatum | 2025-12-03 |
| ISBN | 9781032868004 |
Artikelnummer
3893538
EAN
9781032868004
Leverans:
Denna produkt skickas från oss inom 6 - 7 vardagar. I kassan väljer du om du vill få leverans med Budbee, Airmee, Best Transport, Early Bird, Postnord eller DB Schenker. Vissa speditörer har vikt- eller storleksbegränsningar och kan av den anledningen saknas som alternativ i kassan om du handlar många eller väldigt stora produkter.Fri retur:
För medlemmar gäller fri retur och 14 dagars full returrätt från den dagen du tar emot din leverans. För övriga kostar retur från 49 kr.Undantag för retur- och ångerrätt:
Dessa är exempel på varor som inte omfattas av retur- eller ångerrätt. Observera att det kan finnas andra undantag som inte listas här.- Använda, skadade och/eller inkompletta produkter
- Dagligvaror (livsmedel, läkemedel, nikotinprodukter)
- Hygienartiklar & kroppsnära produkter (rakapparater, in ear-hörlurar, aktivitetsklockor)
- Intimprodukter (menskoppar, kondomer och glidmedel)
- Kosmetikprodukter (inkl. hår- och hudvårdsprodukter, parfymer, etc.)
- Underkläder (inkl. badkläder, underställ och strumpor)
- Ljud- & bildupptagningar, spel/program (om förseglingen brutits eller licensnyckeln erhållits.)
- Teknikprodukter om försegling brutits eller programvara har installerats (mobiltelefoner, surfplattor, laptops, etc.)
- Gratisprodukter
Om du är osäker på om en produkt omfattas av ångerrätt kan du alltid kontakta vår kundtjänst på info@buyersclub.se, så hjälper vi dig gärna!
Leveranser:
