Quantitative Analysis for Finance
( 25 Modules )

Module #1
Introduction to Quantitative Finance
Overview of quantitative finance, importance of quantitative analysis in finance, and course objectives

Module #2
Mathematical Tools for Quantitative Finance
Review of mathematical concepts:algebra, calculus, probability, and statistics

Module #3
Financial Markets and Instruments
Overview of financial markets, instruments, and players

Module #4
Time Series Analysis
Introduction to time series analysis, including trend analysis and seasonal decomposition

Module #5
Time Series Modeling
ARIMA, GARCH, and ETS models, model selection and validation

Module #6
Data Visualization for Finance
Introduction to data visualization techniques for financial data, including Python libraries

Module #7
Hypothesis Testing and Confidence Intervals
Statistical inference:hypothesis testing and confidence intervals

Module #8
Regression Analysis
Simple and multiple linear regression, regression assumptions, and model validation

Module #9
Risk Analysis and Measurement
Introduction to risk measurement, including Value-at-Risk (VaR) and Expected Shortfall (ES)

Module #10
Portfolio Optimization
Mean-Variance optimization, Black-Litterman model, and risk parity

Module #11
Option Pricing Models
Introduction to option pricing models, including Black-Scholes and binomial models

Module #12
Derivatives and Risk Management
Overview of derivatives, including forwards, futures, and swaps

Module #13
Fixed Income Securities
Overview of fixed income securities, including bonds and credit analysis

Module #14
Corporate Finance and Financial Statement Analysis
Introduction to corporate finance, financial statement analysis, and ratio analysis

Module #15
Python for Finance
Introduction to Python programming for finance, including libraries and tools

Module #16
Financial Databases and Data Sources
Overview of financial databases and data sources, including Quandl and Alpha Vantage

Module #17
Event Study Analysis
Introduction to event study analysis, including estimation of abnormal returns

Module #18
Factor Models and Portfolio Construction
Introduction to factor models, including Fama-French and Carhart models

Module #19
Machine Learning for Finance
Introduction to machine learning techniques for finance, including supervised and unsupervised learning

Module #20
Natural Language Processing for Finance
Introduction to natural language processing techniques for finance, including text analysis

Module #21
Financial Modeling and Forecasting
Introduction to financial modeling and forecasting, including econometric models

Module #22
Risk Modeling and Stress Testing
Introduction to risk modeling and stress testing, including scenario analysis

Module #23
Portfolio Performance Measurement
Introduction to portfolio performance measurement, including attribution analysis

Module #24
Case Studies in Quantitative Finance
Real-world case studies in quantitative finance, including application of quantitative techniques

Module #25
Course Wrap-Up & Conclusion
Planning next steps in Quantitative Analysis for Finance career

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Quantitative Analysis for Finance ( 25 Modules )

Quantitative Analysis for Finance
( 25 Modules )