Leaf Mobile Stock Market Value
| EAGRF Stock | USD 0.42 0.07 14.29% |
| Symbol | Leaf |
Leaf Mobile '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 Leaf Mobile's 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 Leaf Mobile.
| 11/28/2023 |
| 11/22/2024 |
If you would invest 0.00 in Leaf Mobile on November 28, 2023 and sell it all today you would earn a total of 0.00 from holding Leaf Mobile or generate 0.0% return on investment in Leaf Mobile over 360 days. Leaf Mobile is related to or competes with IGG. Leaf Mobile Inc., through its subsidiaries, develops and publishes free-to-play casual mobile games worldwide More
Leaf Mobile 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 Leaf Mobile's 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 Leaf Mobile upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.19) | |||
| Maximum Drawdown | 20.05 | |||
| Value At Risk | (3.51) | |||
| Potential Upside | 1.96 |
Leaf Mobile Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Leaf Mobile's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Leaf Mobile's standard deviation. In reality, there are many statistical measures that can use Leaf Mobile historical prices to predict the future Leaf Mobile's volatility.| Risk Adjusted Performance | (0.11) | |||
| Jensen Alpha | (0.45) | |||
| Total Risk Alpha | (0.79) | |||
| Treynor Ratio | (2.01) |
Leaf Mobile Backtested Returns
Leaf Mobile has Sharpe Ratio of -0.16, which conveys that the firm had a -0.16% return per unit of risk over the last 3 months. Leaf Mobile exposes twenty-one different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please verify Leaf Mobile's Standard Deviation of 2.76, mean deviation of 1.24, and Risk Adjusted Performance of (0.11) to check out the risk estimate we provide. The company secures a Beta (Market Risk) of 0.21, which conveys not very significant fluctuations relative to the market. As returns on the market increase, Leaf Mobile's returns are expected to increase less than the market. However, during the bear market, the loss of holding Leaf Mobile is expected to be smaller as well. At this point, Leaf Mobile has a negative expected return of -0.44%. Please make sure to verify Leaf Mobile's standard deviation and the relationship between the total risk alpha and day typical price , to decide if Leaf Mobile performance from the past will be repeated at some point in the near future.
Auto-correlation | -0.31 |
Poor reverse predictability
Leaf Mobile has poor reverse predictability. Overlapping area represents the amount of predictability between Leaf Mobile time series from 28th of November 2023 to 26th of May 2024 and 26th of May 2024 to 22nd 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 Leaf Mobile price movement. The serial correlation of -0.31 indicates that nearly 31.0% of current Leaf Mobile price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.31 | |
| Spearman Rank Test | -0.31 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Leaf Mobile lagged returns against current returns
Autocorrelation, which is Leaf Mobile 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 Leaf Mobile's otc stock expected returns. We can calculate the autocorrelation of Leaf Mobile returns to help us make a trade decision. For example, suppose you find that Leaf Mobile 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 |
Leaf Mobile 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 Leaf Mobile otc stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Leaf Mobile otc stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Leaf Mobile otc stock over time.
Current vs Lagged Prices |
| Timeline |
Leaf Mobile Lagged Returns
When evaluating Leaf Mobile's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Leaf Mobile otc stock have on its future price. Leaf Mobile 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, Leaf Mobile autocorrelation shows the relationship between Leaf Mobile otc stock current value and its past values and can show if there is a momentum factor associated with investing in Leaf Mobile.
Regressed Prices |
| Timeline |
Currently Active Assets on Macroaxis
Other Information on Investing in Leaf OTC Stock
Leaf Mobile financial ratios help investors to determine whether Leaf 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 Leaf with respect to the benefits of owning Leaf Mobile security.