Machine Learning for Financial Risk Management with Python

The market for credit derivatives--financial instruments designed to transfer credit risk from one party to another--has grown exponentially in recent years, with volume expected to reach more than $4

The latest edition, almost wholly revised since the text's first appearance in 1997, is intended for advanced undergraduate and postgraduate students of agricultural economics and farm management, and

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During the last decade, financial models based on jump processes have acquired increasing popularity in risk management and option pricing. Much has been published on the subject, but the technical n

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A comprehensive guide to investment guarantees in equity-linked life insuranceDue to the convergence of financial and insurance markets, new forms of investment guarantees are emerging which require f

The WHO CVD-Risk Management package contains a variety of components to guide healthcare providers and health systems, even those with very minimal resources, to more effective CVD risk management thr

Very often, we associate the dawn of modern financial theory with Harry Markowitz who in the 1950s introduced the formal mathematics of probability theory to the problem of managing risk in an asset

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Finance professionals grapple with risk every day—it's the inescapable partner of all financial market participants. As a result, high-stakes financial professionals are continually trying to st

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As an introduction to Python, this book allows readers to take a slow and steady approach to understanding Python code, explaining concepts, connecting programming with real-life examples, writing Python programs, and completing case studies.While there are many books, websites, and online courses about the topic, we break down Python programming into easily digestible lessons of less than 5 minutes each, following our BiteSize approach. Each lesson begins with a clear and short introduction to the topic. This gives you a strong base to start from and gets you ready for deeper learning. Then, you will see coding demonstrations that show the ideas discussed. These examples are simple and useful, helping you really understand the concepts. You'll then practice tasks at different difficulty levels, so you can test your knowledge and increase your confidence. You'll also play with case studies to solve real-world problems. Tips are included to show how you can incorporate generative AI int

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隨著金融科技與經營模式的改變，環境、社會、治理(ESG)議題日益重要。全球金融體系不斷變革與創新，金融機構需要做好風險管理以及永續管理，才能有效強化組織核心能力。本書不僅提供清楚的學術理論與法令規定，更融入實務案例，敘述金融機構用以辨識和管理風險的方法，以及說明永續經營管理的應用。本書可幫助讀者快速瞭解如何在真實社會，應用有效管理金融機構的新概念與新方法。