Spectra Stock Volatility
| SSA Stock | CAD 0.17 -0.01 -5.56% |
Spectra remains associated with a minimal volatility profile over the chosen period. It exhibits a Sharpe Ratio (Efficiency) of -0.0435, demonstrating unfavorable reward-to-risk behavior over the last 3 months. We identified 20 technical indicators influencing current risk dynamics.
Sharpe Ratio = -0.0435
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| Cash | Small Risk | Average Risk | High Risk | Huge Risk |
| Negative Returns | SSA |
Estimated Market Risk
| 1.82 actual daily | 16 84% of assets are more volatile |
Expected Return
| -0.08 actual daily | 0 Most of other assets have higher returns |
Risk-Adjusted Return
| -0.04 actual daily | 0 Most of other assets perform better |
Spectra reported a Market Risk Adjusted Performance of -0.2%, a Risk of 1.82, and a Risk Adjusted Performance of -0.03%. Monthly moving average data shows Spectra is underperforming relative to its full potential. A well-diversified portfolio allocation can mitigate market risk and improve expected return.
Key indicators related to Spectra's volatility include:90 Days Market Risk | Chance Of Distress | 90 Days Economic Sensitivity |
For options traders, Spectra's implied volatility surface provides a forward-looking estimate of future price dispersion. When implied volatility for Spectra is significantly above realized volatility, options premiums may be elevated relative to historical norms.
Spectra |
Volatility Strategy
Spectra return movement contributes differently across allocation frameworks. Current statistical measures show total volatility near 1.82% with a beta coefficient of 0.4, indicating sensitivity relative to the broader market benchmark. Risk-adjusted efficiency, represented by a Sharpe ratio of -0.0435, evaluates return per unit of total risk. An alpha value of -0.0478 reflects performance relative to systematic market exposure. Expected return estimates near -0.0789% are derived from historical distribution modeling and help frame forward-looking return assumptions within a portfolio context. Stock volatility often increases around earnings releases and guidance updates.
Main indicators related to Spectra's market risk premium analysis include:
Beta 0.4 | Alpha -0.05 | Risk 1.82 | Sharpe Ratio -0.04 | Expected Return -0.08 |
Moving together with Spectra Stock
| 0.64 | III | Imperial Metals Earnings Call This Week | PairCorr |
| 0.71 | DF | Dividend 15 Split | PairCorr |
| 0.66 | MSCL | Satellos Bioscience Earnings Call This Week | PairCorr |
| 0.61 | EPRX | Eupraxia Pharmaceuticals Earnings Call Today | PairCorr |
| 0.73 | BSK | Blue Sky Uranium | PairCorr |
Moving against Spectra Stock
Sensitivity To Market
Spectra market-relative volatility is reflected in its beta of 0.4. This value results from regression analysis against benchmark returns. Total dispersion currently approximates 1.82%.Spectra has shown return movement that ranges from typical to sharp depending on market conditions. Current dispersion statistics include standard deviation near 1.73%. For individual stocks, volatility often rises around earnings, guidance updates, and major company news.
3 Months Beta |Analyze Spectra Demand TrendCheck current 90 days Spectra correlation with market (Dow Jones Industrial)Downside Risk
The standard deviation of Spectra prices measures volatility as the average daily spread from the mean over your selected horizon. High standard deviation implies high volatility; low standard deviation implies price stability.
Standard Deviation | 1.82 |
For a complete risk picture of Spectra, investors should examine both standard deviation (upside risk proxy) and downside deviation or semi-deviation of Spectra's returns (downside risk proxy). Spectra reported a Maximum Drawdown of 11.11.
Stock Volatility Analysis
Understanding Spectra volatility allows investors to better quantify the risk of holding Spectra's stock. Volatility metrics help portfolio managers set stop-losses and size positions appropriately for Spectra.
Transformation |
This analysis covers sixty-one data points across the selected time horizon. 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.
Projected Return Density Against Market
Assuming a 90-day horizon Spectra has a beta of 0.3952 . This usually implies as returns on the market go up, Spectra's average returns are expected to increase less than the benchmark. However, during a bear market, the loss from holding Spectra is expected to be smaller as well.Both systematic and unsystematic risks influence Spectra. Market-wide movements drive the former, while company or sector-specific developments drive the latter. Beta estimates market responsiveness. Spectra reported a Mean Deviation of 0.62 and a Standard Deviation of 1.73.
Predicted Return Density |
| Returns |
What Drives Spectra's Price Volatility?
Several factors can influence Spectra's market volatility:Industry Dynamics
Sector-level events can directly affect Spectra's price stability. Regulatory changes, supply disruptions, or shifts in demand within Spectra's industry may create volatility even when the broader market is calm. Competitive dynamics and industry consolidation can also amplify price swings for companies like Spectra.Political and Economic Environment
Macroeconomic conditions and policy decisions shape the backdrop for Spectra's price movements. Interest rate changes, trade policy shifts, and fiscal legislation can all alter investor sentiment toward Spectra. During periods of economic expansion, Spectra's price tends to benefit from broader market optimism, while downturns can amplify selling pressure.Spectra's Company-Specific Factors
Volatility can also stem from events unique to Spectra. Earnings surprises, management changes, product launches, or legal developments may trigger sharp price reactions in Spectra's stock. Conversely, operational setbacks, guidance revisions, or data breaches can weigh on Spectra's share price.Stock Risk Measures
Assuming a 90-day horizon the coefficient of variation of Spectra is -2299.61. The daily returns are distributed with a variance of 3.3 and standard deviation of 1.82. The mean deviation of Spectra is currently at 0.68. For similar time horizon, the selected benchmark (Dow Jones Industrial) has volatility of 0.8
α | Alpha over Dow Jones | -0.0478 | |
β | Beta against Dow Jones | 0.40 | |
σ | Overall volatility | 1.82 | |
Ir | Information ratio | 0.0024 |
Stock Return Volatility
Spectra historical daily return volatility represents how much of Spectra stock's daily returns swing around its mean - it is a statistical measure of its dispersion of returns. The company reported 1.8155% volatility on return distribution over a 90-day investment horizon. By contrast, Dow Jones Industrial has volatility of 0.8255% on return distribution over a 90-day investment horizon. Performance |
| Timeline |
Related Correlations Analysis
| 0.0 | -0.21 | -0.37 | 0.0 | 0.53 | 0.54 | SPRX | ||
| 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 0.0 | THP | ||
| -0.21 | 0.0 | -0.39 | 0.0 | -0.2 | 0.31 | PTFY | ||
| -0.37 | 0.0 | -0.39 | 0.0 | -0.14 | -0.49 | WNDR | ||
| 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | POND | ||
| 0.53 | 0.0 | -0.2 | -0.14 | 0.0 | 0.52 | SVI | ||
| 0.54 | 0.0 | 0.31 | -0.49 | 0.0 | 0.52 | CNO | ||
Correlation Matchups
Over a given time period, the two securities move together when the Correlation Coefficient is positive. Conversely, the two assets move in opposite directions when the Correlation Coefficient is negative. Determining your positions' relationship to each other is valuable for analyzing and projecting your portfolio's future expected return and risk.High positive correlations
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Risk-Adjusted Indicators
There is a big difference between Spectra Stock performing well and Spectra Company doing well as a business compared to the competition. 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 | ||
|---|---|---|---|---|---|---|---|---|---|---|
| SPRX | 2.36 | -0.03 | 0.00 | 0.38 | 0.00 | 4.90 | 15.21 | |||
| THP | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | |||
| PTFY | 2.34 | -1.24 | 0.00 | 7.84 | 0.00 | 0.00 | 40.17 | |||
| WNDR | 1.45 | 0.10 | 0.04 | -0.55 | 1.92 | 3.45 | 9.90 | |||
| POND | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | |||
| SVI | 1.27 | -0.05 | 0.00 | -0.19 | 0.00 | 2.72 | 7.09 | |||
| CNO | 2.58 | -0.08 | 0.00 | -0.35 | 0.00 | 6.25 | 28.10 |
Risk Metrics, Assumptions & Methodology
Volatility for Spectra measures return dispersion and uncertainty over time. Volatility contraction can precede expansion under certain regimes. Spectra has a market cap of 2.32 M, P/E of 17.5, ROE of 5.38%.
For Spectra, this section uses periodic company reporting 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:
Raphi Shpitalnik - Junior Member of Macroaxis Editorial BoardSpectra Investment Opportunity
Recent data suggests that Spectra is meaningfully more volatile than Dow Jones Industrial, by roughly a 2.19x factor. Used properly, this comparison helps investors decide whether the extra volatility is strategic or simply uncompensated risk.You can use Spectra to protect your portfolios against small market fluctuations. This price-change note interprets the latest move in the context of short-horizon trading behavior. It is intended to separate routine noise from more speculative bursts in price action. a very speculative upward sentiment. Check odds of Spectra to be traded at C$0.1615 in 90 days.Poor diversification
SSA currently posts a 0.77 correlation with DJI, indicating a Poor diversification relationship for the active sample. This matters because lower overlap can improve diversification, while higher overlap leaves more of the same risk inside the portfolio.
Spectra Additional Risk Indicators
Secondary risk indicators for Spectra can help investors evaluate exposure beyond standard deviation, beta, or one headline volatility measure. A disciplined risk review helps investors decide whether exposure should be maintained, reduced, or offset elsewhere in the portfolio.
| Risk Adjusted Performance | -0.03 | |||
| Market Risk Adjusted Performance | -0.20 | |||
| Mean Deviation | 0.6222 | |||
| Coefficient Of Variation | -2,410 | |||
| Standard Deviation | 1.73 | |||
| Variance | 2.99 | |||
| Information Ratio | 0.0024 |
Spectra Suggested Diversification Pairs
Using Spectra in a pair-trading setup can improve risk control because gains and losses are judged against a second position instead of against the market alone. A disciplined pair strategy still requires monitoring because correlation can weaken when market regimes change.
| Bank of America vs. Spectra | ||
| Visa vs. Spectra | ||
| Alphabet vs. Spectra | ||
| Salesforce vs. Spectra | ||
| Dupont De vs. Spectra |
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 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. 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, 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 Spectra.
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