Nydar's risk analytics widget calculates parametric, historical, and Monte Carlo VaR plus Sharpe, Sortino, and Calmar ratios

Nydar's Risk Analytics widget calculates parametric, historical, and Monte Carlo VaR alongside Sharpe, Sortino, and Calmar ratios for your portfolio. Nydar measures exposure across positions, computes Kelly Criterion sizing, and runs stress-test simulations so you can protect capital and improve risk-adjusted returns. The VaR methodology follows the framework established by Philippe Jorion in Value at Risk: The New Benchmark for Managing Financial Risk (McGraw-Hill, 3rd edition, 2006). Portfolio diversification principles draw on Harry Markowitz's Portfolio Selection (Journal of Finance, 1952), which proved that combining assets with low correlation reduces portfolio variance without sacrificing expected return. The Sharpe and Sortino ratios used in Nydar's performance scoring originate from William Sharpe's Mutual Fund Performance (Journal of Business, 1966).
Nydar calculates the maximum expected loss over a time period at a given confidence level (e.g., 95% VaR).
Nydar computes this risk-adjusted return metric. Higher is better. Above 1.0 is generally good.
Nydar tracks the largest peak-to-trough decline, showing worst-case scenario for your portfolio.
Nydar displays your portfolio's correlation with the market. Beta > 1 means more volatile than market.
Nydar calculates exact position sizes from your account size and risk percentage.
Nydar applies the Kelly Criterion formula to determine mathematically optimal bet sizing based on your win rate and risk/reward.
Nydar adjusts position sizes based on each asset's ATR-derived volatility for consistent risk per trade.
Nydar's breakdown of portfolio by sector to identify concentration risk
Nydar shows how your positions move together. High correlation = concentrated risk
Nydar simulates how your portfolio would perform in crash scenarios
Nydar evaluates potential upside vs downside for each position
Nydar offers three VaR calculation methods that suit different situations:
Uses actual past returns to estimate future risk. Simple and intuitive, but assumes past patterns repeat. Works well in stable markets.
Assumes returns follow a normal distribution. Fast to calculate but underestimates tail risk — real markets have fatter tails than the normal distribution predicts.
Nydar simulates thousands of possible scenarios. Most flexible and accurate, but computationally intensive. Best for complex portfolios with options or non-linear instruments.
Deepen your understanding with these guides:
| Feature | Risk Analytics | Portfolio Analytics | Position Size Calc | Correlation Matrix |
|---|---|---|---|---|
| Value at Risk (VaR) | 3 methods (parametric, historical, Monte Carlo) | No | No | No |
| Performance ratios | Sharpe, Sortino, Calmar | P&L and returns | No | No |
| Position sizing | Kelly Criterion + volatility-adjusted | Allocation % | Risk % + stop-loss based | No |
| Correlation analysis | Portfolio-level beta | No | No | Full pair-wise matrix |
| Stress testing | Crash scenario simulation | No | No | No |
| Drawdown tracking | Max drawdown + recovery | Equity curve | No | No |
| Best paired with | Portfolio + Correlation | Risk Analytics | Risk Analytics | Risk Analytics + Portfolio |
Last reviewed: March 2026