ALGER SPECTRA Competition
| ASPCX Fund | USD 24.30 0.53 2.23% |
Correlation: ALGER SPECTRA vs TOUCHSTONE LARGE Overview
Good diversification
For the present investment horizon, the measured correlation between ASPCX and TACLX stands at -0.15, or Good diversification. In portfolio terms, the overlap visualization shows how much shared movement remains after both positions are combined.
Moving together with ALGER Mutual Fund
The concept of mean reversion suggests that ALGER SPECTRA'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.
ALGER SPECTRA Competition Correlation Matrix
Studying peer correlation around Alger Spectra Fund gives investors a cleaner read on how much independent price behavior still exists across the competitive set. 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.
| 0.84 | 0.65 | 0.58 | 0.42 | 0.42 | 0.55 | SLYCX | ||
| 0.84 | 0.54 | 0.57 | 0.37 | 0.37 | 0.55 | VELAX | ||
| 0.65 | 0.54 | 0.94 | 0.94 | 0.94 | 0.92 | WILCX | ||
| 0.58 | 0.57 | 0.94 | 0.89 | 0.88 | 0.9 | GMLVX | ||
| 0.42 | 0.37 | 0.94 | 0.89 | 1.0 | 0.92 | SMVLX | ||
| 0.42 | 0.37 | 0.94 | 0.88 | 1.0 | 0.92 | SVFDX | ||
| 0.55 | 0.55 | 0.92 | 0.9 | 0.92 | 0.92 | TACLX | ||
Risk-Adjusted Indicators
Evaluating ALGER 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 | ||
|---|---|---|---|---|---|---|---|---|---|---|
| SLYCX | 1.00 | 0.37 | 0.51 | 0.63 | 0.36 | 0.93 | 26.42 | |||
| VELAX | 0.53 | 0.06 | 0.13 | 0.06 | 0.55 | 1.00 | 7.57 | |||
| WILCX | 0.52 | 0.19 | 0.31 | 0.30 | 0.36 | 1.15 | 5.13 | |||
| GMLVX | 0.88 | 0.14 | 0.10 | 0.11 | 1.23 | 1.93 | 7.82 | |||
| SMVLX | 0.66 | 0.09 | 0.12 | 0.08 | 0.73 | 1.90 | 3.74 | |||
| SVFDX | 0.66 | 0.09 | 0.12 | 0.08 | 0.74 | 1.92 | 3.75 | |||
| TACLX | 0.56 | 0.09 | 0.12 | 0.07 | 0.67 | 1.22 | 5.12 |
ALGER SPECTRA Competitive Analysis
| Better Than Average | Worse Than Peers | View Performance Chart |
ALGER SPECTRA Competition Peer Performance Charts
How to Analyze ALGER SPECTRA Against Peers
ALGER SPECTRA's peer analysis compares ALGER SPECTRA 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 ALGER SPECTRA 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 ALGER SPECTRA leads or lags and what catalysts could close or widen the gap.
Peer Comparison Metrics & Methodology
Analyzing ALGER SPECTRA peers expands diversification context, relative positioning, and sector theme understanding - the view compares related instruments across sectors and thematic groups. Peer benchmarking can improve context for valuation without relying only on standalone multiples.
For Alger Spectra Fund, 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.