Portfolio Analysis

Data Extraction & Visualization (Fall 2024)

This project presents a comprehensive portfolio analysis tool combining SQL-based data extraction with Tableau visualization capabilities. The system analyzes financial portfolio data for customer #128 (Bojana Popovic), providing insights into investment performance, risk assessment, and potential portfolio optimization opportunities. By leveraging both SQL for complex calculations and Tableau for visualization, the project delivers a complete view of the client's investment portfolio.

Key Features

DuckDB integration for efficient data processing
Sequential query execution for streamlined analysis
Responsive full-width layout design
Interactive data visualization
Export functionality in CSV and Parquet formats
Automated data processing and handling
Real-time data extraction capabilities

Part 1: Data Extraction (SQL)

The SQL component integrates multiple data sources including account dimensions, customer details, holdings, and pricing information. It processes this data through a series of analytical queries:

SQL View: Creates a comprehensive view consolidating all client portfolio data with relevant dimensions and metrics
Query 1: Analyzes portfolio performance through 12, 24, and 36-month return calculations for individual securities and the overall portfolio
Query 2: Evaluates investment risk through sigma (volatility) calculations and average daily returns
Query 3: Identifies potential investment opportunities by analyzing securities not currently in the portfolio
Query 4: Calculates risk-adjusted returns (Sharpe-like ratio) to determine optimal investment efficiency

Part 2: Interactive Dashboard (Tableau)

The Tableau dashboard provides an interactive visualization layer that transforms the SQL analysis into actionable insights:

Asset allocation breakdown and portfolio composition
Historical performance trends and comparisons
Risk-return relationship visualization
Dynamic filtering and drill-down capabilities
Fullscreen viewing mode for detailed analysis
Real-time metric updates and portfolio monitoring

This dual-approach methodology combines the computational power of SQL with the visual analytics of Tableau, providing a robust platform for comprehensive portfolio analysis and decision-making support.

Part 2: Interactive Dashboard (Tableau)

Part 1: Data Extraction (SQL)

SQL View: Customer Portfolio

Step1: Identify your client (listed above) in your database - learn about your client and what they have. Create all required relationships between tables (joins) to better understand what assets your client has, asset classifications, asset types and prices.
Step 2: Once you get that large joined table with all your client's assets and their prices (from Step1) - use that data to create a VIEW in the invest schema with data for your client. This view should have the following information: asset classification (major and minor), asset names, asset types, prices with pricing information and dates and have ONLY the data related to your client. Make sure to add all necessary filters for your VIEW.

Q1: What is the most recent 12 months, 24 months, 36 months return for each of the securities? And for the Whole Portfolio?

Q2: What is the most recent 12months sigma (risk) for each of the securities? What is the average daily return for each of the securities?

Q3: Suggest adding a new investment to your portfolio - what would it be and how much risk (sigma) would it add to your client?

Q4: Risk adjusted returns for each Security by following this formula: AVG(returns for ticker)/STD(returns for ticker). Which of the securities is best from the rest (with highest risk adjusted returns), why?