Portfolio Optimisation using SQL: A hands on introductory approach to learn SQL


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Portfolio Optimisation using SQL: A hands on introductory approach to learn SQL

About the Book

"Practical Portfolio Optimization with SQL" is an essential guide for financial engineering students seeking to hone their practical skills in database management, particularly in the realm of portfolio optimization. This hands-on guide aims to provide comprehensive knowledge and practical experience with SQL, using portfolio optimization as the key application.

The book's structure is crafted into ten carefully designed modules, each focusing on a specific aspect of SQL and its application in portfolio management. The first few modules introduce the fundamentals, starting from creating database and tables to manipulating and querying data. As readers progress, they delve deeper into advanced SQL features like Joins, Unions, Subqueries, Views, and Transactions. 

The guide further elevates the learning experience by illustrating the creation of stored procedures and functions to automate recurring tasks. Readers will learn to leverage database triggers and events for real-time portfolio management and explore database performance tuning and optimization strategies for efficient portfolio management. 

Additionally, the book places significant emphasis on data security, privacy, and adhering to financial industry regulations. Towards the end, it offers insights on how to interface MySQL with Python, which facilitates complex data analysis and optimization tasks. 

"Practical Portfolio Optimization with SQL" is an invaluable resource for aspiring financial engineers, data analysts, or anyone interested in managing financial portfolios more effectively using SQL. By the end of this book, readers will be equipped with the skills to create, manage, and optimize their own portfolio database.

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About the Author

Akash Lodha
Akash Lodha

I'm Akash Lodha, leveraging a unique blend of finance and technology to educate others. I'm a Financial Engineer and Software Developer, currently pursuing an MS in Risk Management & Financial Engineering at Imperial College London. Before this, I earned my Bachelor’s Degree in Computer Science And Engineering from Vellore Institute of Technology.

I started my professional journey at Morgan Stanley, working as a consultant and then an associate software engineer. I then moved to Wissen Technology and later Semlr, honing my skills as a software engineer. My most recent position was at AInsurCo, where I served as an Analyst for Algorithmic Trading.

Now, I'm channeling my knowledge and experience into writing technical books on Python, SQL, and Java. My aim is to help finance professionals navigate the intricate world of programming, making these topics accessible and applicable to their daily work.

Join me in exploring the fascinating intersection of technology and finance, and arm yourself with the essential programming skills needed in our digital era.

Table of Contents

    • Chapter 1: Creating Database and Tables for Portfolio Data
    • Chapter 2: Inserting and Retrieving Portfolio Data
    • Chapter 3: Manipulating Portfolio Data with Basic SQL
    • Chapter 4: Advanced Querying with Joins and Unions for Portfolio Analysis
    • Chapter 5: Utilizing Subqueries and Views for Streamlined Portfolio Analysis
    • Chapter 6: Ensuring Database Consistency with Transactions
    • Chapter 7: Automating Portfolio Management Operations
    • Chapter 8: Implementing Database Triggers and Events for Real-Time Portfolio Management
    • Chapter 9: Performance Tuning and Optimization for Efficient Portfolio Management
    • Chapter 10: Interfacing MySQL with Python for Advanced Portfolio Optimization

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