Learn Python for Portfolio Analysis & Construction
Master modern portfolio management using Python: from risk analysis to advanced optimization techniques.
Master modern portfolio management using Python: from risk analysis to advanced optimization techniques.
This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full Investment Management with Python and Machine Learning Specialization program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.
4.8
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English
پښتو, বাংলা, اردو, 3 more
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What you'll learn
Understand modern portfolio construction theory and implementation
Write Python code for risk and return parameter estimation
Build optimized portfolios using Python libraries
Develop custom utilities for portfolio strategy testing
Master Monte Carlo simulation techniques
Implement advanced portfolio insurance strategies
Skills you'll gain
This course includes:
16 Hours PreRecorded video
4 quizzes
Access on Mobile, Desktop, Tablet
FullTime access
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There are 4 modules in this course
This comprehensive course combines investment science theory with practical Python implementation. Students learn modern portfolio construction techniques, from basic risk-return analysis to advanced optimization methods. The curriculum covers essential topics including Modern Portfolio Theory, Monte Carlo simulations, CPPI strategies, and Asset-Liability Management. Through hands-on lab sessions, students implement these concepts using Python, working with real-world financial data and optimization libraries.
Analysing returns
Module 1 · 6 Hours to complete
An Introduction to Portfolio Optimization
Module 2 · 4 Hours to complete
Beyond Diversification
Module 3 · 5 Hours to complete
Introduction to Asset-Liability Management
Module 4 · 9 Hours to complete
Fee Structure
Instructors
Founder and CEO of Optimal Asset Management
Vijay Vaidyanathan is the founder and CEO of Optimal Asset Management Inc., bringing a wealth of expertise in finance and technology to the field of asset management. He holds a PhD in Finance and an MS in Risk & Asset Management from EDHEC Business School in France, along with an MS in Computer Science from SUNY Albany and an MSc (Tech) from BITS Pilani, India. His extensive academic background is complemented by his experience as the President of EDHEC-Risk Indices and Benchmarks North America, where he focused on research areas such as smart beta and the dynamics of risk premia in equity markets. Additionally, Vijay holds several patents related to financial micro-transactions in digital markets, underscoring his innovative approach to finance.At Optimal Asset Management, Vijay is dedicated to advancing portfolio construction techniques and enhancing financial literacy through education. He teaches courses on Coursera, including "Advanced Portfolio Construction and Analysis with Python" and "Introduction to Portfolio Construction and Analysis with Python." His courses aim to equip finance professionals and students with the necessary skills to navigate complex investment landscapes effectively. Through his work, Vijay Vaidyanathan not only contributes to the academic community but also plays a crucial role in shaping the future of asset management practices globally.
Professor of Finance at EDHEC Business School
Lionel Martellini is a distinguished Professor of Finance at EDHEC Business School, where he has been instrumental in shaping the academic landscape of finance and investment management. He holds a PhD in Finance from the Haas School of Business at the University of California, Berkeley, and has an extensive academic background that includes multiple master's degrees in related fields. His research interests encompass a wide range of topics, including investment solutions for individual and institutional investors, risk management, and derivatives valuation. Additionally, he has served as the Director of the EDHEC-Risk Institute, further solidifying his influence in the finance community.Martellini teaches various courses on Coursera, including "Introduction to Portfolio Construction and Analysis with Python," aimed at equipping learners with practical skills in portfolio management. His commitment to education is reflected in his innovative approach to teaching, which integrates theoretical knowledge with real-world applications. Outside of academia, he is actively involved in professional activities and research collaborations, contributing to advancements in sustainable investing and climate finance. Through his expertise and dedication, Lionel Martellini continues to inspire future finance professionals and shape the field's evolution.
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4.8 course rating
1,383 ratings
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