First Physicians Capital Stock Market Value
FPCG Stock | USD 1,025 0.00 0.00% |
Symbol | First |
First Physicians '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 First Physicians' 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 First Physicians.
01/31/2024 |
| 11/26/2024 |
If you would invest 0.00 in First Physicians on January 31, 2024 and sell it all today you would earn a total of 0.00 from holding First Physicians Capital or generate 0.0% return on investment in First Physicians over 300 days. First Physicians is related to or competes with Rezolute, Tempest Therapeutics, Forte Biosciences, Dyadic International, DiaMedica Therapeutics, Silo Pharma, and Molecular Partners. First Physicians Capital Group, Inc., through its subsidiaries, provides management, financial, ancillary healthcare, an... More
First Physicians 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 First Physicians' 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 First Physicians Capital upside and downside potential and time the market with a certain degree of confidence.
First Physicians Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for First Physicians' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as First Physicians' standard deviation. In reality, there are many statistical measures that can use First Physicians historical prices to predict the future First Physicians' volatility.Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of First Physicians' 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.
First Physicians Capital Backtested Returns
We have found three technical indicators for First Physicians Capital, which you can use to evaluate the volatility of the firm. The firm shows a Beta (market volatility) of 0.0, which means not very significant fluctuations relative to the market. the returns on MARKET and First Physicians are completely uncorrelated.
Auto-correlation | 0.00 |
No correlation between past and present
First Physicians Capital has no correlation between past and present. Overlapping area represents the amount of predictability between First Physicians time series from 31st of January 2024 to 29th of June 2024 and 29th of June 2024 to 26th 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 First Physicians Capital price movement. The serial correlation of 0.0 indicates that just 0.0% of current First Physicians price fluctuation can be explain by its past prices.
Correlation Coefficient | 0.0 | |
Spearman Rank Test | 1.0 | |
Residual Average | 0.0 | |
Price Variance | 0.0 |
First Physicians Capital lagged returns against current returns
Autocorrelation, which is First Physicians 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 First Physicians' pink sheet expected returns. We can calculate the autocorrelation of First Physicians returns to help us make a trade decision. For example, suppose you find that First Physicians 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 |
First Physicians 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 First Physicians pink sheet is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if First Physicians pink sheet is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in First Physicians pink sheet over time.
Current vs Lagged Prices |
Timeline |
First Physicians Lagged Returns
When evaluating First Physicians' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of First Physicians pink sheet have on its future price. First Physicians 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, First Physicians autocorrelation shows the relationship between First Physicians pink sheet current value and its past values and can show if there is a momentum factor associated with investing in First Physicians Capital.
Regressed Prices |
Timeline |
Currently Active Assets on Macroaxis
Other Information on Investing in First Pink Sheet
First Physicians financial ratios help investors to determine whether First 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 First with respect to the benefits of owning First Physicians security.