Quantitative Finance with Python; A Practical Guide to Investment Management, Trading, and Financial Engineering by Chris Kelliher
Author:Chris Kelliher
Format: pdf
Tags: This book bridges the gap between the theory of mathematical finance and the practical applications of these concepts for derivative pricing and portfolio management. The book provides students with a very hands-on, rigorous introduction to foundational topics in quant finance., Quant Finance Institutions; Quant Career Paths; Financial Technology; Financial Instruments; Quant Project Stages; Automation; Risk Neutral Pricing; Binomial Trees; Girsanov’s Theorem; Ito’s Lemma; Stochastic Calculus; Quant Modeling; Time Series Models; Core Portfolio; Bootstrapping; Python Programming Environment; Financial Datasets; Options Pricing Techniques; Credit Markets; Foreign Exchange Markets; Equity & Commodity Markets; Portfolio Construction & Risk Management; Covariance Matrices; Machine Learning Techniques
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