Alger Spectra Fund Volatility
| ASPCX Fund | USD 24.01 -0.53 -2.16% |
Over the designated horizon, Alger Spectra Fund maintains a low volatility profile. Alger Spectra Fund registers a Sharpe Ratio (Efficiency) of 0.0531, suggesting positive return efficiency over the last 3 months. The latest risk read is supported by 27 technical indicators.
Sharpe Ratio = 0.0531
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| Cash | Small Risk | ASPCX | High Risk | Huge Risk |
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Latest disclosures for Alger Spectra Fund show a Market Risk Adjusted Performance of 0.04%, a Risk of 1.75, and a Risk Adjusted Performance of 0.02%. Monthly moving average analysis places ALGER SPECTRA at roughly 4% of its prior performance bandwidth. Its effect inside a well-diversified portfolio would be influenced by cross-asset correlation.
Key indicators related to ALGER SPECTRA's volatility include:90 Days Market Risk | Chance Of Distress | 90 Days Economic Sensitivity |
ALGER SPECTRA's volatility is most commonly measured using the annualized standard deviation of daily returns. This statistical measure reflects the magnitude of ALGER SPECTRA's typical price swings and is a primary input in options pricing models.
ALGER |
Volatility Strategy
Alger Spectra Fund return fluctuations can modify its marginal contribution to total portfolio variance. Allocation size and correlation determine overall impact. Current statistical measures show total volatility near 1.75% with a beta coefficient of 0.89, indicating sensitivity relative to the broader market benchmark. Risk-adjusted efficiency, represented by a Sharpe ratio of 0.0531, evaluates return per unit of total risk. An alpha value of 0.0681 reflects performance relative to systematic market exposure. Expected return estimates near 0.0931% are derived from historical distribution modeling and help frame forward-looking return assumptions within a portfolio context. Volatility effects depend on underlying market structure and exposure characteristics.
Main indicators related to ALGER SPECTRA's market risk premium analysis include:
Beta 0.89 | Alpha 0.0681 | Risk 1.75 | Sharpe Ratio 0.0531 | Expected Return 0.0931 |
Moving together with ALGER Mutual Fund
| 0.65 | AMGOX | Alger Mid Cap | PairCorr |
| 0.96 | AAGOX | Alger Large Cap | PairCorr |
| 0.68 | AFOIX | Alger Mid Cap | PairCorr |
| 0.62 | AGIFX | Alger Responsible | PairCorr |
| 0.89 | SPEGX | Alger Responsible | PairCorr |
| 1.0 | ALCFX | Alger Capital | PairCorr |
| 0.65 | ALMRX | Alger Midcap Growth | PairCorr |
| 0.99 | ALZFX | Alger Capital | PairCorr |
| 0.69 | GFAFX | Growth Fund | PairCorr |
| 0.68 | GFACX | Growth Fund | PairCorr |
| 0.89 | FAFGX | American Funds | PairCorr |
| 0.89 | FFAFX | American Funds | PairCorr |
| 0.69 | CGFFX | Growth Fund | PairCorr |
| 0.68 | CGFCX | Growth Fund | PairCorr |
| 0.69 | CGFEX | Growth Fund | PairCorr |
Sensitivity To Market
ALGER SPECTRA'sAlger Spectra Fund exhibits a beta of 0.89, representing its market-relative sensitivity based on regression modeling. Beta quantifies systematic risk by measuring the slope of asset returns against benchmark returns. Overall return volatility is approximately 1.75%.Volatility metrics for Alger Spectra Fund describe how stable or unstable returns have been over the selected window. Current downside deviation is about 1.67%. For ALGER SPECTRA, the volatility profile is a portfolio effect rather than a single-company effect.
3 Months Beta |Analyze Alger Spectra Demand TrendCheck current 90 days ALGER SPECTRA correlation with market (Dow Jones Industrial)Downside Risk
The standard deviation of ALGER measures how widely its daily prices are dispersed around the mean for a given time period. Highly volatile instruments have large standard deviations; stable instruments have small ones.
Standard Deviation | 1.75 |
Standard deviation captures both upside and downside movement in ALGER SPECTRA. However, investors specifically concerned with loss potential should use downside deviation or semi-deviation of ALGER SPECTRA's returns. Latest disclosures for Alger Spectra Fund show a Downside Deviation of 1.67, a Downside Variance of 2.80, and a Maximum Drawdown of 11.33.
Mutual Fund Volatility Analysis
ALGER SPECTRA fund volatility is a measure of the speed and extent of ALGER SPECTRA's price movements. High volatility generally means the mutual fund price moves dramatically up or down in a short period of time. Low volatility means ALGER SPECTRA's price does not fluctuate dramatically, and tends to be.
Transformation |
The output start index for this execution was zero with a total number of output elements of sixty-one. Alger Spectra Average Price is the average of the sum of open, high, low and close daily prices of a bar. It can be used to smooth an indicator that normally takes just the closing price as input.
ALGER SPECTRA Projected Return Density Against Market
Assuming a 90-day horizon ALGER SPECTRA has a beta of 0.8857 . This suggests Alger Spectra Fund market returns are sensitive to returns on the market. As the market goes up or down, ALGER SPECTRA is expected to follow.Investors in ALGER SPECTRA face systematic risk from overall mutual fund market trends and unsystematic risk from company or sector-specific developments. Diversification reduces specific exposure, but macro-driven volatility persists. Beta remains a common sensitivity metric. Latest disclosures for Alger Spectra Fund show a Downside Deviation of 1.67, a Mean Deviation of 1.17, and a Semi Deviation of 1.57.
Predicted Return Density |
| Returns |
What Drives an ALGER SPECTRA Price Volatility?
Several factors can influence a fund's market volatility:Industry
Specific events can influence volatility within a particular industry. For instance, a significant weather upheaval in a crucial oil-production site may cause oil prices to increase in the oil sector. The direct result will be the rise in the stock price of oil distribution companies. Similarly, any government regulation in a specific industry could negatively influence stock prices due to increased regulations on compliance that may impact the company's future earnings and growth.Political and Economic environment
When governments make significant decisions regarding trade agreements, policies, and legislation regarding specific industries, they will influence stock prices. Everything from speeches to elections may influence investors, who can directly influence the stock prices in any particular industry. The prevailing economic situation also plays a significant role in stock prices. When the economy is doing well, investors will have a positive reaction and hence, better stock prices and vice versa.The Company's Performance
Sometimes volatility will only affect an individual company. For example, a revolutionary product launch or strong earnings report may attract investor attention to the company. This positive attention may impact the company's stock price. In contrast, product recalls and data breaches may negatively influence a company's stock prices.Mutual Fund Risk Measures
Assuming a 90-day horizon the coefficient of variation of ALGER SPECTRA is 1883.6. The daily returns are distributed with a variance of 3.07 and standard deviation of 1.75. The mean deviation of Alger Spectra Fund is currently at 1.21. For similar time horizon, the selected benchmark (Dow Jones Industrial) has volatility of 0.8
α | Alpha over Dow Jones | 0.07 | |
β | Beta against Dow Jones | 0.89 | |
σ | Overall volatility | 1.75 | |
Ir | Information ratio | 0.04 |
Mutual Fund Return Volatility
ALGER SPECTRA historical daily return volatility represents how much of ALGER SPECTRA fund's daily returns swing around its mean - it is a statistical measure of its dispersion of returns. The fund shows 1.7533% volatility of returns over 90 trading days. By contrast, Dow Jones Industrial accepts 0.7982% volatility on return distribution over a 90-day horizon. Performance |
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Related Correlations Analysis
Risk-Adjusted Indicators
There is a big difference between ALGER Mutual Fund performing well and ALGER SPECTRA Mutual Fund doing well as a business compared to the competition. There are so many exceptions to the norm that investors cannot definitively determine what's good or bad unless they analyze ALGER SPECTRA's multiple risk-adjusted performance indicators across the competitive landscape. 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 | ||
|---|---|---|---|---|---|---|---|---|---|---|
| BUFHX | 0.10 | 0.01 | 0.29 | 0.02 | 0.02 | 0.19 | 0.57 | |||
| FSHGX | 0.11 | 0.01 | 0.24 | 0.10 | 0.00 | 0.21 | 0.85 | |||
| BOHCX | 0.10 | 0.00 | 0.31 | -0.05 | 0.08 | 0.16 | 0.59 | |||
| QLMYIX | 0.10 | 0.01 | 0.33 | 0.11 | 0.00 | 0.16 | 0.48 | |||
| FHYRX | 0.11 | 0.01 | 0.19 | 0.27 | 0.07 | 0.23 | 1.23 | |||
| PRFHX | 0.11 | 0.01 | 0.24 | 0.29 | 0.04 | 0.27 | 1.17 | |||
| VWALX | 0.11 | 0.01 | 0.19 | 0.16 | 0.10 | 0.19 | 1.02 |
Risk Metrics, Assumptions & Methodology
Volatility for ALGER SPECTRA reflects NAV dispersion and exposure stability across disclosure periods. Observed drawdowns appear relatively moderate compared with broader market swings.
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. Volatility and downside metrics are estimated from historical return dispersion.
This content is curated and reviewed by:
Rifka Kats - Member of Macroaxis Editorial BoardALGER SPECTRA Investment Opportunity
Measured over the selected horizon, Alger Spectra Fund carries roughly 2.19 times the return volatility of Dow Jones Industrial. That added volatility may be acceptable only if the position is expected to deliver stronger return efficiency or diversification value.You can use Alger Spectra Fund to protect your portfolios against small market fluctuations. This directional read frames the latest price swing through a simple momentum and follow-through lens. It gives extra weight to the size of the move, the quote level, and whether the instrument trades in a hype-prone venue. an unexpected downward movement. The market is reacting to new fundamentals. Check odds of ALGER SPECTRA to be traded at $23.05 in 90 days.Weak diversification
Across the chosen horizon, ASPCX and DJI show a correlation of 0.3 and fall into the Weak diversification bucket. In portfolio terms, the overlap visualization shows how much shared movement remains after both positions are combined.
ALGER SPECTRA Additional Risk Indicators
Risk analysis around Alger Spectra Fund becomes more useful when investors review secondary indicators that can confirm, refine, or challenge the basic volatility picture. Used correctly, these measures can support both standalone risk assessment and portfolio-level hedging decisions.
| Risk Adjusted Performance | 0.022 | |||
| Market Risk Adjusted Performance | 0.0391 | |||
| Mean Deviation | 1.17 | |||
| Semi Deviation | 1.57 | |||
| Downside Deviation | 1.67 | |||
| Coefficient Of Variation | 4775.38 | |||
| Standard Deviation | 1.71 |
ALGER SPECTRA Suggested Diversification Pairs
Pair trading with ALGER SPECTRA can help investors hedge some company-specific exposure by balancing a long view with an offsetting position. The key question is whether the second leg adds real hedge value instead of just creating a more complex version of the same risk.
The effect of pair diversification on risk is to reduce it, but we should note this doesn't apply to all risk types. When we trade pairs against ALGER SPECTRA as a counterpart, there is always some inherent risk that will never be diversified away no matter what. This volatility limits the effect of tactical diversification using pair trading. ALGER SPECTRA's systematic risk is the inherent uncertainty of the entire market, and therefore cannot be mitigated even by pair-trading it against the equity that is not highly correlated to it. On the other hand, ALGER SPECTRA's unsystematic risk describes the types of risk that we can protect against, at least to some degree, by selecting a matching pair that is not perfectly correlated to Alger Spectra Fund.