Cv Sciences Stock Market Value
| CVSI Stock | USD 0.04 0.00 0.00% |
| Symbol | CVSI |
CV Sciences '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 CV Sciences' otc 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 CV Sciences.
| 10/26/2024 |
| 11/25/2024 |
If you would invest 0.00 in CV Sciences on October 26, 2024 and sell it all today you would earn a total of 0.00 from holding CV Sciences or generate 0.0% return on investment in CV Sciences over 30 days. CV Sciences is related to or competes with Embotelladora Andina, Signet International, National Beverage, Vita Coco, Coca Cola, Coca Cola, and Embotelladora Andina. CV Sciences, Inc. operates as a life science company in North America More
CV Sciences 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 CV Sciences' otc 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 CV Sciences upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 20.41 | |||
| Information Ratio | (0) | |||
| Maximum Drawdown | 45.0 | |||
| Value At Risk | (20.00) | |||
| Potential Upside | 25.0 |
CV Sciences Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for CV Sciences' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as CV Sciences' standard deviation. In reality, there are many statistical measures that can use CV Sciences historical prices to predict the future CV Sciences' volatility.| Risk Adjusted Performance | 0.0165 | |||
| Jensen Alpha | (0.04) | |||
| Total Risk Alpha | (1.40) | |||
| Sortino Ratio | (0) | |||
| Treynor Ratio | 0.0779 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of CV Sciences' 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.
CV Sciences Backtested Returns
CV Sciences is out of control at the moment. CV Sciences retains Efficiency (Sharpe Ratio) of 0.0097, which signifies that the company had a 0.0097% return per unit of price deviation over the last 3 months. We have found twenty-seven technical indicators for CV Sciences, which you can use to evaluate the volatility of the firm. Please confirm CV Sciences' Coefficient Of Variation of 10425.67, market risk adjusted performance of 0.0879, and Standard Deviation of 9.37 to double-check if the risk estimate we provide is consistent with the expected return of 0.0927%. The firm owns a Beta (Systematic Risk) of 1.03, which signifies a somewhat significant risk relative to the market. CV Sciences returns are very sensitive to returns on the market. As the market goes up or down, CV Sciences is expected to follow. CV Sciences today owns a risk of 9.52%. Please confirm CV Sciences coefficient of variation and the relationship between the treynor ratio and rate of daily change , to decide if CV Sciences will be following its current price history.
Auto-correlation | -0.08 |
Very weak reverse predictability
CV Sciences has very weak reverse predictability. Overlapping area represents the amount of predictability between CV Sciences time series from 26th of October 2024 to 10th of November 2024 and 10th of November 2024 to 25th 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 CV Sciences price movement. The serial correlation of -0.08 indicates that barely 8.0% of current CV Sciences price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.08 | |
| Spearman Rank Test | -0.3 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
CV Sciences lagged returns against current returns
Autocorrelation, which is CV Sciences otc 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 CV Sciences' otc stock expected returns. We can calculate the autocorrelation of CV Sciences returns to help us make a trade decision. For example, suppose you find that CV Sciences has exhibited high autocorrelation historically, and you observe that the otc 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 |
CV Sciences 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 CV Sciences otc stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if CV Sciences otc stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in CV Sciences otc stock over time.
Current vs Lagged Prices |
| Timeline |
CV Sciences Lagged Returns
When evaluating CV Sciences' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of CV Sciences otc stock have on its future price. CV Sciences 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, CV Sciences autocorrelation shows the relationship between CV Sciences otc stock current value and its past values and can show if there is a momentum factor associated with investing in CV Sciences.
Regressed Prices |
| Timeline |
Currently Active Assets on Macroaxis
Other Information on Investing in CVSI OTC Stock
CV Sciences financial ratios help investors to determine whether CVSI OTC Stock 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 CVSI with respect to the benefits of owning CV Sciences security.