First Priority Tax Stock Market Value
| FRFR Stock | USD 0.0006 0.00 0.00% |
| Symbol | First |
First Priority '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 Priority's 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 Priority.
| 10/31/2024 |
| 11/30/2024 |
If you would invest 0.00 in First Priority on October 31, 2024 and sell it all today you would earn a total of 0.00 from holding First Priority Tax or generate 0.0% return on investment in First Priority over 30 days. First Priority is related to or competes with Onfolio Holdings, Starbox Group, MediaAlpha, Outbrain, Perion Network, Taboola, and Fiverr International. It intends to relaunch Zshoppers.com, as well as launch and market homekout.com brands More
First Priority 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 Priority's 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 Priority Tax upside and downside potential and time the market with a certain degree of confidence.
First Priority Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for First Priority's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as First Priority's standard deviation. In reality, there are many statistical measures that can use First Priority historical prices to predict the future First Priority's volatility.First Priority Tax Backtested Returns
We have found three technical indicators for First Priority Tax, 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 Priority are completely uncorrelated.
Auto-correlation | 0.00 |
No correlation between past and present
First Priority Tax has no correlation between past and present. Overlapping area represents the amount of predictability between First Priority 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 First Priority Tax price movement. The serial correlation of 0.0 indicates that just 0.0% of current First Priority 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 Priority Tax lagged returns against current returns
Autocorrelation, which is First Priority 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 Priority's pink sheet expected returns. We can calculate the autocorrelation of First Priority returns to help us make a trade decision. For example, suppose you find that First Priority 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 Priority 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 Priority pink sheet is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if First Priority 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 Priority pink sheet over time.
Current vs Lagged Prices |
| Timeline |
First Priority Lagged Returns
When evaluating First Priority's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of First Priority pink sheet have on its future price. First Priority 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 Priority autocorrelation shows the relationship between First Priority pink sheet current value and its past values and can show if there is a momentum factor associated with investing in First Priority Tax.
Regressed Prices |
| Timeline |
Pair Trading with First Priority
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if First Priority position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in First Priority will appreciate offsetting losses from the drop in the long position's value.The ability to find closely correlated positions to First Priority could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace First Priority when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back First Priority - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling First Priority Tax to buy it.
The correlation of First Priority is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as First Priority moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if First Priority Tax moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for First Priority can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.Additional Tools for First Pink Sheet Analysis
When running First Priority's price analysis, check to measure First Priority'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 First Priority is operating at the current time. Most of First Priority's value examination focuses on studying past and present price action to predict the probability of First Priority's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move First Priority's price. Additionally, you may evaluate how the addition of First Priority to your portfolios can decrease your overall portfolio volatility.