Financial Portfolio Analytics Dashboard
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150 min
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Overview
Build a comprehensive investment portfolio analytics dashboard with risk metrics, performance tracking, and asset allocation visualizations.
Case Details
## Scenario
You are a data analyst at a wealth management firm. The investment team needs a real-time dashboard to monitor client portfolios, track performance, and assess risk exposure.
## Objectives
Create an analytics dashboard that provides:
1. Portfolio Performance
- Returns over time (daily, weekly, monthly, YTD)
- Benchmark comparison (S&P 500, etc.)
- Risk-adjusted returns (Sharpe ratio, Sortino ratio)
2. Asset Allocation
- Current allocation by asset class
- Target vs actual allocation
- Rebalancing recommendations
3. Risk Metrics
- Value at Risk (VaR)
- Maximum drawdown
- Volatility (standard deviation)
- Beta vs benchmark
4. Holdings Analysis
- Top 10 holdings
- Sector exposure
- Geographic distribution
## Data Sources
- Daily stock prices (5 years historical)
- Portfolio holdings (current and historical)
- Benchmark indices (S&P 500, Bond indices)
- Risk-free rate (Treasury bills)
- Client information (risk tolerance, investment goals)
## Technical Requirements
### Data Processing
- Calculate daily returns
- Rolling window statistics (30-day, 90-day volatility)
- Correlation matrices
- Performance attribution
### Visualizations
- Time series charts (portfolio value, returns)
- Pie/donut charts (asset allocation)
- Heatmaps (correlation, sector performance)
- Scatter plots (risk vs return)
- Bar charts (top holdings, sector weights)
### Dashboard Features
- Client selector dropdown
- Date range picker
- Benchmark comparison toggle
- Export to PDF functionality
## Deliverables
1. Interactive Dashboard (Tableau/Power BI/Web)
2. Technical Documentation (methodology, formulas used)
3. User Guide (how to use the dashboard)
4. Sample Report (PDF export example)
## Evaluation
- Accuracy of calculations
- Dashboard usability
- Visualization quality
- Completeness of documentation
- Professional presentation
You are a data analyst at a wealth management firm. The investment team needs a real-time dashboard to monitor client portfolios, track performance, and assess risk exposure.
## Objectives
Create an analytics dashboard that provides:
1. Portfolio Performance
- Returns over time (daily, weekly, monthly, YTD)
- Benchmark comparison (S&P 500, etc.)
- Risk-adjusted returns (Sharpe ratio, Sortino ratio)
2. Asset Allocation
- Current allocation by asset class
- Target vs actual allocation
- Rebalancing recommendations
3. Risk Metrics
- Value at Risk (VaR)
- Maximum drawdown
- Volatility (standard deviation)
- Beta vs benchmark
4. Holdings Analysis
- Top 10 holdings
- Sector exposure
- Geographic distribution
## Data Sources
- Daily stock prices (5 years historical)
- Portfolio holdings (current and historical)
- Benchmark indices (S&P 500, Bond indices)
- Risk-free rate (Treasury bills)
- Client information (risk tolerance, investment goals)
## Technical Requirements
### Data Processing
- Calculate daily returns
- Rolling window statistics (30-day, 90-day volatility)
- Correlation matrices
- Performance attribution
### Visualizations
- Time series charts (portfolio value, returns)
- Pie/donut charts (asset allocation)
- Heatmaps (correlation, sector performance)
- Scatter plots (risk vs return)
- Bar charts (top holdings, sector weights)
### Dashboard Features
- Client selector dropdown
- Date range picker
- Benchmark comparison toggle
- Export to PDF functionality
## Deliverables
1. Interactive Dashboard (Tableau/Power BI/Web)
2. Technical Documentation (methodology, formulas used)
3. User Guide (how to use the dashboard)
4. Sample Report (PDF export example)
## Evaluation
- Accuracy of calculations
- Dashboard usability
- Visualization quality
- Completeness of documentation
- Professional presentation
What You'll Learn
- Problem-solving and analytical thinking
- Data-driven decision making
- Business strategy development
- Professional report writing
Submission Deadline
May 30, 2026 23:59
0
Solutions Submitted
Difficulty
Advanced
Estimated Time
150 minutes
Relevance
Fresh
Source
Financial Analytics Case Study - Puneet Arora Tutorial