Forsys Metals Corp Stock Market Value
| FOSYF Stock | USD 0.49 0.01 2.08% |
| Symbol | Forsys |
Forsys Metals '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 Forsys Metals' 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 Forsys Metals.
| 06/05/2024 |
| 12/02/2024 |
If you would invest 0.00 in Forsys Metals on June 5, 2024 and sell it all today you would earn a total of 0.00 from holding Forsys Metals Corp or generate 0.0% return on investment in Forsys Metals over 180 days. Forsys Metals is related to or competes with Seadrill, Noble Plc, Borr Drilling, SCOR PK, HUMANA, Barloworld, and Morningstar Unconstrained. Forsys Metals Corp., an exploration stage company, engages in the acquisition, exploration, and development of mineral p... More
Forsys Metals 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 Forsys Metals' 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 Forsys Metals Corp upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 6.93 | |||
| Information Ratio | 0.0463 | |||
| Maximum Drawdown | 28.05 | |||
| Value At Risk | (7.84) | |||
| Potential Upside | 10.26 |
Forsys Metals Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Forsys Metals' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Forsys Metals' standard deviation. In reality, there are many statistical measures that can use Forsys Metals historical prices to predict the future Forsys Metals' volatility.| Risk Adjusted Performance | 0.0608 | |||
| Jensen Alpha | 0.2398 | |||
| Total Risk Alpha | (0.63) | |||
| Sortino Ratio | 0.0421 | |||
| Treynor Ratio | 0.2979 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Forsys Metals' 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.
Forsys Metals Corp Backtested Returns
Forsys Metals appears to be out of control, given 3 months investment horizon. Forsys Metals Corp secures Sharpe Ratio (or Efficiency) of 0.15, which denotes the company had a 0.15% return per unit of risk over the last 3 months. By reviewing Forsys Metals' technical indicators, you can evaluate if the expected return of 0.82% is justified by implied risk. Please utilize Forsys Metals' Coefficient Of Variation of 1468.34, mean deviation of 4.33, and Downside Deviation of 6.93 to check if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Forsys Metals holds a performance score of 11. The firm shows a Beta (market volatility) of 1.41, which means 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, Forsys Metals will likely underperform. Please check Forsys Metals' value at risk, as well as the relationship between the skewness and day typical price , to make a quick decision on whether Forsys Metals' price patterns will revert.
Auto-correlation | -0.34 |
Poor reverse predictability
Forsys Metals Corp has poor reverse predictability. Overlapping area represents the amount of predictability between Forsys Metals time series from 5th of June 2024 to 3rd of September 2024 and 3rd of September 2024 to 2nd of December 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 Forsys Metals Corp price movement. The serial correlation of -0.34 indicates that nearly 34.0% of current Forsys Metals price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.34 | |
| Spearman Rank Test | -0.09 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Forsys Metals Corp lagged returns against current returns
Autocorrelation, which is Forsys Metals 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 Forsys Metals' pink sheet expected returns. We can calculate the autocorrelation of Forsys Metals returns to help us make a trade decision. For example, suppose you find that Forsys Metals 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 |
| Timeline |
Forsys Metals 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 Forsys Metals pink sheet is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Forsys Metals pink sheet is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Forsys Metals pink sheet over time.
Current vs Lagged Prices |
| Timeline |
Forsys Metals Lagged Returns
When evaluating Forsys Metals' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Forsys Metals pink sheet have on its future price. Forsys Metals 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, Forsys Metals autocorrelation shows the relationship between Forsys Metals pink sheet current value and its past values and can show if there is a momentum factor associated with investing in Forsys Metals Corp.
Regressed Prices |
| Timeline |
Currently Active Assets on Macroaxis
Other Information on Investing in Forsys Pink Sheet
Forsys Metals financial ratios help investors to determine whether Forsys 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 Forsys with respect to the benefits of owning Forsys Metals security.