Cognetivity Neurosciences Stock Market Value
| CGNSF Stock | USD 0 0 42.86% |
| Symbol | Cognetivity |
Cognetivity Neurosciences '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 Cognetivity Neurosciences' pink sheet 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 Cognetivity Neurosciences.
| 10/31/2024 |
| 11/30/2024 |
If you would invest 0.00 in Cognetivity Neurosciences on October 31, 2024 and sell it all today you would earn a total of 0.00 from holding Cognetivity Neurosciences or generate 0.0% return on investment in Cognetivity Neurosciences over 30 days. Cognetivity Neurosciences is related to or competes with GE HealthCare, Veeva Systems, M3, Solventum Corp, Doximity, and HealthEquity. Cognetivity Neurosciences Ltd. operates as a healthcare company More
Cognetivity Neurosciences 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 Cognetivity Neurosciences' pink sheet 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 Cognetivity Neurosciences upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 45.8 | |||
| Information Ratio | 0.148 | |||
| Maximum Drawdown | 192.86 | |||
| Value At Risk | (42.86) | |||
| Potential Upside | 100.0 |
Cognetivity Neurosciences Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Cognetivity Neurosciences' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Cognetivity Neurosciences' standard deviation. In reality, there are many statistical measures that can use Cognetivity Neurosciences historical prices to predict the future Cognetivity Neurosciences' volatility.| Risk Adjusted Performance | 0.1257 | |||
| Jensen Alpha | 5.31 | |||
| Total Risk Alpha | (0.59) | |||
| Sortino Ratio | 0.1229 | |||
| Treynor Ratio | 1.66 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Cognetivity Neurosciences' price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Cognetivity Neurosciences Backtested Returns
Cognetivity Neurosciences is out of control given 3 months investment horizon. Cognetivity Neurosciences secures Sharpe Ratio (or Efficiency) of 0.17, which signifies that the company had a 0.17% return per unit of risk over the last 3 months. We are able to interpolate and collect twenty-eight different technical indicators, which can help you to evaluate if expected returns of 6.44% are justified by taking the suggested risk. Use Cognetivity Neurosciences Mean Deviation of 20.86, risk adjusted performance of 0.1257, and Downside Deviation of 45.8 to evaluate company specific risk that cannot be diversified away. Cognetivity Neurosciences holds a performance score of 13 on a scale of zero to a hundred. The firm shows a Beta (market volatility) of 3.47, which signifies a somewhat significant risk relative to the market. As the market goes up, the company is expected to outperform it. However, if the market returns are negative, Cognetivity Neurosciences will likely underperform. Use Cognetivity Neurosciences information ratio, downside variance, day typical price, as well as the relationship between the treynor ratio and kurtosis , to analyze future returns on Cognetivity Neurosciences.
Auto-correlation | -0.28 |
Weak reverse predictability
Cognetivity Neurosciences has weak reverse predictability. Overlapping area represents the amount of predictability between Cognetivity Neurosciences time series from 31st of October 2024 to 15th of November 2024 and 15th of November 2024 to 30th of November 2024. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Cognetivity Neurosciences price movement. The serial correlation of -0.28 indicates that nearly 28.0% of current Cognetivity Neurosciences price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.28 | |
| Spearman Rank Test | -0.09 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Cognetivity Neurosciences lagged returns against current returns
Autocorrelation, which is Cognetivity Neurosciences pink sheet'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 Cognetivity Neurosciences' pink sheet expected returns. We can calculate the autocorrelation of Cognetivity Neurosciences returns to help us make a trade decision. For example, suppose you find that Cognetivity Neurosciences has exhibited high autocorrelation historically, and you observe that the pink sheet 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 |
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Cognetivity Neurosciences 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 Cognetivity Neurosciences pink sheet is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Cognetivity Neurosciences pink sheet is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Cognetivity Neurosciences pink sheet over time.
Current vs Lagged Prices |
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Cognetivity Neurosciences Lagged Returns
When evaluating Cognetivity Neurosciences' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Cognetivity Neurosciences pink sheet have on its future price. Cognetivity Neurosciences 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, Cognetivity Neurosciences autocorrelation shows the relationship between Cognetivity Neurosciences pink sheet current value and its past values and can show if there is a momentum factor associated with investing in Cognetivity Neurosciences.
Regressed Prices |
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Currently Active Assets on Macroaxis
Other Information on Investing in Cognetivity Pink Sheet
Cognetivity Neurosciences financial ratios help investors to determine whether Cognetivity Pink Sheet is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Cognetivity with respect to the benefits of owning Cognetivity Neurosciences security.