Quantitative Risk Management Using Python An Essential Guide for Managing Market, Credit, and 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 LearnExplore 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.

Rapidgator
6imwv.7z.html
DDownload
6imwv.7z
FreeDL
6imwv.7z.html
AlfaFile
6imwv.7z