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Mastering Python for Finance. - Second Edition

You're reading from  Mastering Python for Finance. - Second Edition

Product type Book
Published in Apr 2019
Publisher Packt
ISBN-13 9781789346466
Pages 426 pages
Edition 2nd Edition
Languages
Author (1):
James Ma Weiming James Ma Weiming
Profile icon James Ma Weiming

Table of Contents (16) Chapters

Preface Section 1: Getting Started with Python
Overview of Financial Analysis with Python Section 2: Financial Concepts
The Importance of Linearity in Finance Nonlinearity in Finance Numerical Methods for Pricing Options Modeling Interest Rates and Derivatives Statistical Analysis of Time Series Data Section 3: A Hands-On Approach
Interactive Financial Analytics with the VIX Building an Algorithmic Trading Platform Implementing a Backtesting System Machine Learning for Finance Deep Learning for Finance Other Books You May Enjoy

VaR for risk management

As soon as we open a position in the market, we are exposed to various types of risks, such as volatility risk and credit risk. To preserve our trading capital as much as possible, it is important to incorporate some form of risk management measures to our trading system.

Perhaps the most common measure of risk used in the financial industry is the VaR technique. It is designed to simply answer the following question: What is the worst expected amount of loss, given a specific probability level, say 95%, over a certain period of time? The beauty of VaR is that it can be applied to multiple levels, from position-specific micro-level to portfolio-based macro-level. For example, a VaR of $1 million with a 95% confidence level for a 1-day time horizon states that, on average, only 1 day out of 20 could you expect to lose more than $1 million due to market...

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