Quantitative Risk Management Using Python: An Essential Guide for Managing Market, Credit, and Model Risk
暫譯: 使用 Python 進行量化風險管理：市場風險、信用風險與模型風險管理的必備指南
Liu, Peng
商品描述
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.
商品描述(中文翻譯)
了解各種金融風險、投資組合多樣化的好處，以及風險與報酬之間的基本權衡。本書深入探討使用 Python 進行量化風險管理的世界，重點關注信用風險和市場風險，並擴展到模型風險。
您將首先回顧不同類型的金融風險、投資組合中多樣化的好處，以及風險與報酬之間的基本權衡。接著，本書將深入探討在當今動態市場中管理信用風險和市場風險的方式，並提供實用的 Python 實作。然後，您將檢視用於管理投資頭寸的常見對沖策略，並提供評估風險調整後的報酬以及下行風險指標的實用實作。最後，您將了解與金融中機器學習模型的開發和使用相關的常見風險。
無論您是金融專業人士、學者還是學生，《使用 Python 的量化風險管理》將使您能夠在當今複雜的金融環境中做出明智的決策。
您將學到的內容：
- 探索評估和管理借款人或交易對手違約風險的技術。
- 識別、衡量和減輕因市場價格波動而產生的風險。
- 了解衍生工具如何用於風險管理目的。
