Portfolio Optimisation using SQL: A hands on introductory approach to learn SQL
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.
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
The Leanpub 60-day 100% Happiness Guarantee
Within 60 days of purchase you can get a 100% refund on any Leanpub purchase, in two clicks.
See full terms
80% Royalties. Earn $16 on a $20 book.
We pay 80% royalties. That's not a typo: you earn $16 on a $20 sale. If we sell 5000 non-refunded copies of your book or course for $20, you'll earn $80,000.
(Yes, some authors have already earned much more than that on Leanpub.)
In fact, authors have earnedover $12 millionwriting, publishing and selling on Leanpub.
Learn more about writing on Leanpub
Free Updates. DRM Free.
If you buy a Leanpub book, you get free updates for as long as the author updates the book! Many authors use Leanpub to publish their books in-progress, while they are writing them. All readers get free updates, regardless of when they bought the book or how much they paid (including free).
Most Leanpub books are available in PDF (for computers) and EPUB (for phones, tablets and Kindle). The formats that a book includes are shown at the top right corner of this page.
Finally, Leanpub books don't have any DRM copy-protection nonsense, so you can easily read them on any supported device.
Learn more about Leanpub's ebook formats and where to read them