Four Leaf Acquisition Stock Market Value
| FORL Stock | 11.04 0.01 0.09% |
| Symbol | Four |
Four Leaf Acquisition Company Valuation
Is Asset Management & Custody Banks space expected to grow? Or is there an opportunity to expand the business' product line in the future? Factors like these will boost the valuation of Four Leaf. If investors know Four will grow in the future, the company's valuation will be higher. The financial industry is built on trying to define current growth potential and future valuation accurately. All the valuation information about Four Leaf listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Quarterly Earnings Growth (0.61) | Earnings Share 0.1 | Return On Assets (0.02) | Return On Equity 2.1828 |
The market value of Four Leaf Acquisition is measured differently than its book value, which is the value of Four that is recorded on the company's balance sheet. Investors also form their own opinion of Four Leaf's value that differs from its market value or its book value, called intrinsic value, which is Four Leaf's true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because Four Leaf's market value can be influenced by many factors that don't directly affect Four Leaf's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between Four Leaf's value and its price as these two are different measures arrived at by different means. Investors typically determine if Four Leaf is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Four Leaf's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.
Four Leaf '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 Four Leaf's 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 Four Leaf.
| 12/08/2023 |
| 12/02/2024 |
If you would invest 0.00 in Four Leaf on December 8, 2023 and sell it all today you would earn a total of 0.00 from holding Four Leaf Acquisition or generate 0.0% return on investment in Four Leaf over 360 days. Four Leaf is related to or competes with Lifevantage, Tootsie Roll, Where Food, SunOpta, BBB Foods, U Haul, and Tyson Foods. Four Leaf is entity of United States. It is traded as Stock on NASDAQ exchange. More
Four Leaf 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 Four Leaf's 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 Four Leaf Acquisition upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.2149 | |||
| Information Ratio | (1.39) | |||
| Maximum Drawdown | 0.9029 | |||
| Value At Risk | (0.09) | |||
| Potential Upside | 0.0911 |
Four Leaf Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Four Leaf's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Four Leaf's standard deviation. In reality, there are many statistical measures that can use Four Leaf historical prices to predict the future Four Leaf's volatility.| Risk Adjusted Performance | (0.04) | |||
| Jensen Alpha | (0.01) | |||
| Total Risk Alpha | (0.02) | |||
| Sortino Ratio | (0.62) | |||
| Treynor Ratio | (0.66) |
Four Leaf Acquisition Backtested Returns
As of now, Four Stock is very steady. Four Leaf Acquisition secures Sharpe Ratio (or Efficiency) of 0.0593, which denotes the company had a 0.0593% return per unit of risk over the last 3 months. We have found twenty-seven technical indicators for Four Leaf Acquisition, which you can use to evaluate the volatility of the firm. Please confirm Four Leaf's Mean Deviation of 0.0401, downside deviation of 0.2149, and Coefficient Of Variation of 2297.23 to check if the risk estimate we provide is consistent with the expected return of 0.0057%. Four Leaf has a performance score of 4 on a scale of 0 to 100. The firm shows a Beta (market volatility) of 0.0088, which means not very significant fluctuations relative to the market. As returns on the market increase, Four Leaf's returns are expected to increase less than the market. However, during the bear market, the loss of holding Four Leaf is expected to be smaller as well. Four Leaf Acquisition right now shows a risk of 0.0965%. Please confirm Four Leaf Acquisition potential upside, as well as the relationship between the kurtosis and price action indicator , to decide if Four Leaf Acquisition will be following its price patterns.
Auto-correlation | 0.81 |
Very good predictability
Four Leaf Acquisition has very good predictability. Overlapping area represents the amount of predictability between Four Leaf time series from 8th of December 2023 to 5th of June 2024 and 5th of June 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 Four Leaf Acquisition price movement. The serial correlation of 0.81 indicates that around 81.0% of current Four Leaf price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.81 | |
| Spearman Rank Test | 0.91 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Four Leaf Acquisition lagged returns against current returns
Autocorrelation, which is Four Leaf 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 Four Leaf's stock expected returns. We can calculate the autocorrelation of Four Leaf returns to help us make a trade decision. For example, suppose you find that Four Leaf has exhibited high autocorrelation historically, and you observe that the 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 |
Four Leaf 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 Four Leaf stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Four Leaf stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Four Leaf stock over time.
Current vs Lagged Prices |
| Timeline |
Four Leaf Lagged Returns
When evaluating Four Leaf's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Four Leaf stock have on its future price. Four Leaf 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, Four Leaf autocorrelation shows the relationship between Four Leaf stock current value and its past values and can show if there is a momentum factor associated with investing in Four Leaf Acquisition.
Regressed Prices |
| Timeline |
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Four Leaf technical stock analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, stock market cycles, or different charting patterns.