Financial Analyst: A Comprehensive Applied Guide to Quantitative Finance in 2024: A Holistic Guide to: Python for Finance
In the rapidly advancing world of finance, mastering the fusion of quantitative analysis and cutting-edge technology is
127 101 2MB
English Pages 381 Year 2024
Table of contents :
Title Page
Epigraph
Contents
Preface
Forward
Chapter 1: Deciphering Options
Chapter 2: Python Programming Fundamentals for Finance
Chapter 3: Comprehending the Black Scholes Model
Chapter 4: An In-Depth Exploration of the Greeks
Chapter 5: Analyzing Market Data with Python
Chapter 6: Implementation of the Black Scholes Formula in Python
Chapter 7: Strategies for Option Trading
Chapter 8: Advanced Concepts in Trading and Python
Chapter 9: Practical Case Studies and Applications
Epilogue
Additional Resources
How to install python
Python Libraries for Finance
Key Python Programming Concepts
How to write a Python Program
Financial Analysis with Python
Variance Analysis
Trend Analysis
Horizontal and Vertical Analysis
Ratio Analysis
Cash Flow Analysis
Scenario and Sensitivity Analysis
Capital Budgeting
Break-even Analysis
Creating a Data Visualization Product in Finance
Data Visualization Guide
Algorithmic Trading Summary Guide
Financial Mathematics
Black-Scholes Model
The Greeks Formulas
Stochastic Calculus For Finance
Brownian Motion (Wiener Process)
Itô's Lemma
Stochastic Differential Equations (SDEs)
Geometric Brownian Motion (GBM)
Martingales
