SpectraCure (Sweden) Market Value
SPEC Stock | SEK 2.06 0.05 2.49% |
Symbol | SpectraCure |
SpectraCure 'What if' Analysis
In the world of financial modeling, what-if analysis is part of sensitivity analysis performed to test how changes in assumptions impact individual outputs in a model. When applied to SpectraCure's stock what-if analysis refers to the analyzing how the change in your past investing horizon will affect the profitability against the current market value of SpectraCure.
03/12/2023 |
| 03/01/2025 |
If you would invest 0.00 in SpectraCure on March 12, 2023 and sell it all today you would earn a total of 0.00 from holding SpectraCure AB or generate 0.0% return on investment in SpectraCure over 720 days. SpectraCure is related to or competes with Maha Energy, Saniona AB, Kancera AB, SolTech Energy, and SaltX Technology. More
SpectraCure Upside/Downside Indicators
Understanding different market momentum indicators often help investors to time their next move. Potential upside and downside technical ratios enable traders to measure SpectraCure's stock current market value against overall market sentiment and can be a good tool during both bulling and bearish trends. Here we outline some of the essential indicators to assess SpectraCure AB upside and downside potential and time the market with a certain degree of confidence.
Downside Deviation | 10.43 | |||
Information Ratio | 0.0924 | |||
Maximum Drawdown | 121.32 | |||
Value At Risk | (15.86) | |||
Potential Upside | 27.45 |
SpectraCure Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for SpectraCure's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as SpectraCure's standard deviation. In reality, there are many statistical measures that can use SpectraCure historical prices to predict the future SpectraCure's volatility.Risk Adjusted Performance | 0.077 | |||
Jensen Alpha | 1.41 | |||
Total Risk Alpha | 2.02 | |||
Sortino Ratio | 0.1467 | |||
Treynor Ratio | (0.34) |
SpectraCure AB Backtested Returns
SpectraCure is abnormally volatile given 3 months investment horizon. SpectraCure AB owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.12, which indicates the firm had a 0.12 % return per unit of risk over the last 3 months. We were able to interpolate and analyze data for thirty different technical indicators, which can help you to evaluate if expected returns of 2.07% are justified by taking the suggested risk. Use SpectraCure AB Coefficient Of Variation of 1091.77, risk adjusted performance of 0.077, and Semi Deviation of 9.17 to evaluate company specific risk that cannot be diversified away. SpectraCure holds a performance score of 9 on a scale of zero to a hundred. The entity has a beta of -4.41, which indicates a somewhat significant risk relative to the market. As returns on the market increase, returns on owning SpectraCure are expected to decrease by larger amounts. On the other hand, during market turmoil, SpectraCure is expected to outperform it. Use SpectraCure AB standard deviation, total risk alpha, and the relationship between the coefficient of variation and jensen alpha , to analyze future returns on SpectraCure AB.
Auto-correlation | 0.26 |
Poor predictability
SpectraCure AB has poor predictability. Overlapping area represents the amount of predictability between SpectraCure time series from 12th of March 2023 to 6th of March 2024 and 6th of March 2024 to 1st of March 2025. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of SpectraCure AB price movement. The serial correlation of 0.26 indicates that nearly 26.0% of current SpectraCure price fluctuation can be explain by its past prices.
Correlation Coefficient | 0.26 | |
Spearman Rank Test | 0.43 | |
Residual Average | 0.0 | |
Price Variance | 0.22 |
SpectraCure AB lagged returns against current returns
Autocorrelation, which is SpectraCure stock's lagged correlation, explains the relationship between observations of its time series of returns over different periods of time. The observations are said to be independent if autocorrelation is zero. Autocorrelation is calculated as a function of mean and variance and can have practical application in predicting SpectraCure's stock expected returns. We can calculate the autocorrelation of SpectraCure returns to help us make a trade decision. For example, suppose you find that SpectraCure has exhibited high autocorrelation historically, and you observe that the stock is moving up for the past few days. In that case, you can expect the price movement to match the lagging time series.
Current and Lagged Values |
Timeline |
SpectraCure regressed lagged prices vs. current prices
Serial correlation can be approximated by using the Durbin-Watson (DW) test. The correlation can be either positive or negative. If SpectraCure stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if SpectraCure stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in SpectraCure stock over time.
Current vs Lagged Prices |
Timeline |
SpectraCure Lagged Returns
When evaluating SpectraCure's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of SpectraCure stock have on its future price. SpectraCure autocorrelation represents the degree of similarity between a given time horizon and a lagged version of the same horizon over the previous time interval. In other words, SpectraCure autocorrelation shows the relationship between SpectraCure stock current value and its past values and can show if there is a momentum factor associated with investing in SpectraCure AB.
Regressed Prices |
Timeline |
Thematic Opportunities
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Additional Tools for SpectraCure Stock Analysis
When running SpectraCure's price analysis, check to measure SpectraCure's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy SpectraCure is operating at the current time. Most of SpectraCure's value examination focuses on studying past and present price action to predict the probability of SpectraCure's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move SpectraCure's price. Additionally, you may evaluate how the addition of SpectraCure to your portfolios can decrease your overall portfolio volatility.