# Portfolio Volatility Calculator MCP

> The Portfolio Volatility Calculator finds asset risk metrics by calculating individual volatility, pairwise covariance, and total portfolio risk. It tells you exactly how different investments move together, allowing you to pinpoint diversification benefits or hidden sources of risk in your holdings.

## Overview
- **Category:** finance
- **Price:** Free
- **Tags:** volatility, covariance, risk-management, portfolio-analysis, finance-tools

## Description

Assessing investment risk shouldn't require juggling spreadsheets full of complex formulas. This MCP handles specialized financial analysis by connecting directly to your workflow. You can use it to find the standard deviation for any single asset using `get_asset_volatilities`. It also generates a detailed covariance matrix, showing how every pair of assets relates in movement. Finally, you run `analyze_portfolio_risk` to get one clear number: your total portfolio volatility. This process identifies not only the overall risk level but also which specific holdings are driving that risk and which ones genuinely boost diversification. Vinkius makes connecting these complex financial models simple, letting your agent perform heavy-duty calculations in plain text.

## Tools

### analyze_portfolio_risk
Calculates the combined risk of a portfolio and points out exactly what is driving that overall risk or how assets help diversify it.

### get_asset_volatilities
Finds the standard deviation for every single asset you provide in the data set, giving you its standalone level of risk.

### get_covariance_matrix
Generates a detailed matrix showing the relationship and movement between every possible pair of assets in your portfolio.

## Prompt Examples

**Prompt:** 
```
What is the volatility for Apple and Microsoft based on these returns: [[0.01, 0.02], [-0.01, 0.03]]?
```

**Response:** 
```
The individual volatility for Apple is 0.0141 and for Microsoft is 0.0212.
```

**Prompt:** 
```
Calculate the portfolio risk if Apple has a weight of 0.6 and Microsoft has 0.4, using this covariance: {'Apple|Apple': 0.0002, 'Microsoft|Microsoft': 0.0004, 'Apple|Microsoft': 0.0001}
```

**Response:** 
```
The total portfolio volatility is 0.0155. The highest risk adder is Apple and the highest diversifier is Microsoft.
```

**Prompt:** 
```
Show me the covariance between these two assets: [[0.01, 0.02], [0.01, 0.02]] for Asset A and Asset B.
```

**Response:** 
```
The covariance between Asset A and Asset B is 0.0001.
```

## Capabilities

### Calculate Standalone Asset Risk
Determine the individual standard deviation (volatility) for any asset you input.

### Map Pairwise Asset Relationships
Generate a matrix that quantifies how all possible pairs of assets move relative to each other.

### Determine Aggregate Portfolio Risk
Calculate the overall volatility of an entire portfolio and identify its key risk drivers.

## Use Cases

### Evaluating a new sector allocation
A Portfolio Manager needs to know if adding solar energy stocks to an existing oil and gas portfolio increases risk or stabilizes it. They use the MCP's tools to calculate the covariance between the two sectors, confirming that the pairing actually provides diversification benefits.

### Stress-testing a fund manager’s strategy
An Investment Research Associate runs `analyze_portfolio_risk` against several hypothetical market downturn scenarios. The MCP identifies which combination of assets fails to meet minimum volatility standards under stress, allowing for preemptive adjustments.

### Onboarding a new asset class
A Financial Analyst receives data on crypto-assets and needs to integrate them into a traditional portfolio. They use `get_asset_volatilities` first to assess the extreme standard deviation of the new assets before running a full risk calculation.

### Comparing two competing investment strategies
A Portfolio Manager wants to compare Strategy A (low correlation) vs. Strategy B (high growth). By generating the covariance matrix for both, they can prove which strategy achieves better overall risk-adjusted returns.

## Benefits

- Pinpoint Risk Drivers: `analyze_portfolio_risk` doesn't just give you a number; it tells you *why* the portfolio is risky or safe. This helps you understand which assets need adjusting first.
- Measure Asset Relationships: Instead of guessing, use `get_covariance_matrix` to see precisely how two assets move together. This reveals true correlation that spreadsheet models often miss.
- Calculate Individual Risk: Quickly determine the standalone volatility for any asset with `get_asset_volatilities`. You can run this check instantly on new investments before committing capital.
- Save Time: Skip hours of manual calculations, cross-checking formulas, and formatting risk reports. Your agent handles all the math in real time.
- Improve Decisions: By seeing both individual volatility and total portfolio risk side-by-side, you make data-backed arguments to your team that are mathematically sound.

## How It Works

The bottom line is that you get actionable risk reports without ever opening Excel or writing a single statistical formula.

1. Provide your agent with a dataset containing returns or historical price movements for the assets you want to analyze.
2. Run the `get_covariance_matrix` tool first. This builds the foundational understanding of how all pairs of assets interact before calculating total risk.
3. Pass the data and weights into the `analyze_portfolio_risk` tool. Your agent then returns a clear measure of overall portfolio volatility, alongside recommendations on diversification.

## Frequently Asked Questions

**How does Portfolio Volatility Calculator calculate covariance?**
The MCP uses the `get_covariance_matrix` tool to generate a statistical matrix. This shows how two or more assets' returns fluctuate relative to each other, which is key for understanding diversification.

**Do I need weights to use analyze_portfolio_risk?**
Yes, absolutely. The `analyze_portfolio_risk` tool requires you to specify the weight (percentage allocation) of each asset in your total portfolio. Without weights, the risk calculation is meaningless.

**Can I find the volatility for just one asset?**
You can use `get_asset_volatilities` to calculate the standalone standard deviation for any single asset you provide data for. It’s a quick, focused check on individual risk.

**Does Portfolio Volatility Calculator handle non-financial assets?**
This MCP is designed specifically for financial analysis using historical return data. The tools require structured time series data suitable for calculating standard deviation and covariance.

**What inputs does get_covariance_matrix need?**
It requires a dataset containing the returns of multiple assets over time. It then processes these returns to generate the comprehensive matrix showing all pairwise correlations.