VANGUARD CALIFORNIA Competition
| VCADX Fund | USD 11.48 -0.07 -0.61% |
VANGUARD CALIFORNIA vs VANGUARD HEALTH Correlation Overview
Average diversification
VCADX currently posts a 0.16 correlation with VHCIX, indicating a Average diversification relationship for the active sample. Used correctly, the chart supports evaluation of whether adding the second position genuinely diversifies the first.
Moving together with VANGUARD Mutual Fund
The concept of mean reversion suggests that VANGUARD CALIFORNIA's price will eventually return toward its long-run average. High prices may deter value investors, while unusually low prices often attract buyers who anticipate a recovery.
VANGUARD CALIFORNIA Competition Correlation Matrix
Competition correlation for Vanguard California Intermediate Term matters because related securities often respond to the same industry, factor, or macro drivers even when their business stories differ. This matrix is most informative when investors want to know whether adding another peer would improve diversification, increase crowding, or leave total risk largely unchanged.
High positive correlations
| High negative correlations
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Risk-Adjusted Indicators
Evaluating VANGUARD Mutual Fund requires separating price momentum from underlying business quality relative to competitors. Without reviewing risk-adjusted indicators, investors may overweight recent returns and underweight the volatility required to achieve them. These indicators are quantitative in nature and help investors forecast volatility and risk-adjusted expected returns across various positions.| Mean Deviation | Jensen Alpha | Sortino Ratio | Treynor Ratio | Semi Deviation | Expected Shortfall | Potential Upside | Value @Risk | Maximum Drawdown | ||
|---|---|---|---|---|---|---|---|---|---|---|
| VCAIX | 0.09 | 0.00 | 0.33 | -0.20 | 0.14 | 0.17 | 0.77 | |||
| IEI | 0.13 | -0.01 | 0.00 | -1.32 | 0.00 | 0.28 | 0.85 | |||
| VMBS | 0.17 | 0.00 | 0.32 | -0.12 | 0.26 | 0.34 | 1.16 | |||
| RDVY | 0.79 | 0.06 | 0.00 | -0.04 | 0.00 | 1.19 | 4.19 | |||
| VCORX | 0.15 | -0.01 | 0.00 | -0.29 | 0.00 | 0.22 | 0.88 | |||
| VCOBX | 0.15 | -0.01 | 0.00 | -0.27 | 0.00 | 0.28 | 0.94 | |||
| DFUS | 0.60 | 0.01 | 0.00 | -0.09 | 0.00 | 0.91 | 3.72 | |||
| IWV | 0.59 | 0.01 | 0.00 | -0.09 | 0.00 | 0.88 | 3.70 | |||
| CGGR | 0.81 | -0.03 | 0.00 | -0.13 | 0.00 | 1.38 | 4.60 | |||
| VHCIX | 0.66 | -0.06 | 0.00 | -0.21 | 0.00 | 1.45 | 3.89 |
VANGUARD CALIFORNIA Competitive Analysis
| Better Than Average | Worse Than Peers | View Performance Chart |
VANGUARD CALIFORNIA Competition Peer Performance Charts
How to Analyze VANGUARD CALIFORNIA Against Peers
VANGUARD CALIFORNIA's peer analysis compares VANGUARD CALIFORNIA with related companies to put valuation, quality, and risk metrics in context. This helps determine whether recent performance is company-specific or broadly sector-driven. A practical workflow includes:- Set a relevant peer group: Include direct competitors and close alternatives with comparable business exposure.
- Benchmark core financials: Compare profitability, growth, capital structure, and cash flow quality.
- Check valuation dispersion: Review whether VANGUARD CALIFORNIA trades at a premium or discount versus peers and why.
- Evaluate risk profile: Compare volatility, drawdowns, and correlation to avoid false diversification assumptions.
- Document the thesis: Record where VANGUARD CALIFORNIA leads or lags and what catalysts could close or widen the gap.
Peer Comparison Metrics & Methodology
Return on invested capital comparison for VANGUARD CALIFORNIA versus peers reveals which companies in the group are genuinely creating value. Momentum comparison for VANGUARD CALIFORNIA across peers can signal rotation when peers accelerate while VANGUARD CALIFORNIA lags or vice versa. Divergence between VANGUARD CALIFORNIA and its peers often has a fundamental explanation worth investigating. Peer benchmarking can improve context for valuation without relying only on standalone multiples.
For Vanguard California Intermediate Term, this section uses fund disclosures and market reference feeds with Macroaxis normalization rules applied to keep cross-asset comparisons consistent. Intraday timing differences may exist.