Quantitative Risk Management Using Python An Essential Guide for Managing Market, Credit, and Model Risk
-
- Taschenbuch ausgewählt
- eBook
-
Sprache:Englisch
59,99 €
inkl. gesetzl. MwSt.,
Beschreibung
Produktdetails
Einband
Taschenbuch
Erscheinungsdatum
03.09.2025
Abbildungen
XX, 238 p. 37 illus., 34 illus. in color.
Verlag
APressSeitenzahl
238
Maße (L/B/H)
23,5/15,5/1,5 cm
Gewicht
400 g
Auflage
1. Auflage
Sprache
Englisch
EAN
9798868815294
Gain an understanding of various financial risks, the benefits of portfolio diversification, and the fundamental trade-off between risk and return. This book takes an in-depth journey into the world of quantitative risk management using Python, focusing on credit and market risk, with an extension to model risk.
You'll start by reviewing the different types of financial risk, the benefit of diversification in a portfolio, and the fundamental trade-off between risk and return. The book then offers an in-depth look at managing credit and market risk in today's dynamic markets, all with practical Python implementations. Moving on, you’ll examine common hedging strategies used to manage investment positions, along with practical implementations on evaluating risk-adjusted, as well as downside risk measures. Finally, you’ll be introduced to common risks related to the development and use of machine learning models in finance.
Whether you're a finance professional, academic, or student,
Quantitative Risk Management Using Python
will empower you to make informed decisions in today's complex financial landscape.
What You Will Learn
- Explore techniques to assess and manage the risk of default by borrowers or counterparties.
- Identify, measure, and mitigate risks arising from fluctuations in market prices.
- Understand how derivatives can be employed for risk management purposes.
- Delve into both static and dynamic hedging techniques to protect investment positions, including practical applications for evaluating risk-adjusted and downside risk measures.
- Identify and address risks associated with the development and deployment of machine learning models in financial contexts.
Who This Book Is For
Finance professionals, academics, and students seeking to deepen their understanding of Quantitative Risk Management using Python, especially those interested in navigating the intricate domains of credit, market and model risk within the financial sector and beyond.
Noch keine Bewertungen vorhanden
Verfassen Sie die erste Bewertung zu diesem Artikel
Helfen Sie anderen Kundinnen und Kunden durch Ihre Meinung.
Kurze Frage zu unserer Seite
Vielen Dank für Ihr Feedback
Wir nutzen Ihr Feedback, um unsere Produktseiten zu verbessern. Bitte haben Sie Verständnis, dass wir Ihnen keine Rückmeldung geben können. Falls Sie Kontakt mit uns aufnehmen möchten, können Sie sich aber gerne an unseren Kund*innenservice wenden.
zum Kundenservice