Moneylion Stock Market Value
ML Stock | USD 55.46 8.67 18.53% |
Symbol | MoneyLion |
MoneyLion Price To Book Ratio
Is Application Software 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 MoneyLion. If investors know MoneyLion 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 MoneyLion listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Earnings Share 0.27 | Revenue Per Share 45.292 | Quarterly Revenue Growth 0.228 | Return On Assets 0.0196 | Return On Equity 0.0072 |
The market value of MoneyLion is measured differently than its book value, which is the value of MoneyLion that is recorded on the company's balance sheet. Investors also form their own opinion of MoneyLion's value that differs from its market value or its book value, called intrinsic value, which is MoneyLion'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 MoneyLion's market value can be influenced by many factors that don't directly affect MoneyLion'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 MoneyLion's value and its price as these two are different measures arrived at by different means. Investors typically determine if MoneyLion is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, MoneyLion'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.
MoneyLion '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 MoneyLion'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 MoneyLion.
09/07/2024 |
| 11/06/2024 |
If you would invest 0.00 in MoneyLion on September 7, 2024 and sell it all today you would earn a total of 0.00 from holding MoneyLion or generate 0.0% return on investment in MoneyLion over 60 days. MoneyLion is related to or competes with C3 Ai, Shopify, Snowflake, Autodesk, and ServiceNow. The companys platform offers access to banking, borrowing, and investing solutions for customers More
MoneyLion 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 MoneyLion'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 MoneyLion upside and downside potential and time the market with a certain degree of confidence.
Information Ratio | (0.08) | |||
Maximum Drawdown | 20.79 | |||
Value At Risk | (8.00) | |||
Potential Upside | 7.05 |
MoneyLion Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for MoneyLion's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as MoneyLion's standard deviation. In reality, there are many statistical measures that can use MoneyLion historical prices to predict the future MoneyLion's volatility.Risk Adjusted Performance | (0.03) | |||
Jensen Alpha | (0.59) | |||
Total Risk Alpha | (1.15) | |||
Treynor Ratio | (0.10) |
MoneyLion Backtested Returns
As of now, MoneyLion Stock is not too volatile. MoneyLion has Sharpe Ratio of 0.0149, which conveys that the firm had a 0.0149% return per unit of risk over the last 3 months. We have found twenty-two technical indicators for MoneyLion, which you can use to evaluate the volatility of the firm. Please verify MoneyLion's Standard Deviation of 4.76, mean deviation of 3.55, and Risk Adjusted Performance of (0.03) to check out if the risk estimate we provide is consistent with the expected return of 0.06%. MoneyLion has a performance score of 1 on a scale of 0 to 100. The company secures a Beta (Market Risk) of 2.59, which conveys 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, MoneyLion will likely underperform. MoneyLion right now secures a risk of 4.03%. Please verify MoneyLion jensen alpha, skewness, as well as the relationship between the Skewness and day median price , to decide if MoneyLion will be following its current price movements.
Auto-correlation | 0.39 |
Below average predictability
MoneyLion has below average predictability. Overlapping area represents the amount of predictability between MoneyLion time series from 7th of September 2024 to 7th of October 2024 and 7th of October 2024 to 6th 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 MoneyLion price movement. The serial correlation of 0.39 indicates that just about 39.0% of current MoneyLion price fluctuation can be explain by its past prices.
Correlation Coefficient | 0.39 | |
Spearman Rank Test | -0.41 | |
Residual Average | 0.0 | |
Price Variance | 5.87 |
MoneyLion lagged returns against current returns
Autocorrelation, which is MoneyLion 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 MoneyLion's stock expected returns. We can calculate the autocorrelation of MoneyLion returns to help us make a trade decision. For example, suppose you find that MoneyLion 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 |
MoneyLion 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 MoneyLion stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if MoneyLion stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in MoneyLion stock over time.
Current vs Lagged Prices |
Timeline |
MoneyLion Lagged Returns
When evaluating MoneyLion's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of MoneyLion stock have on its future price. MoneyLion 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, MoneyLion autocorrelation shows the relationship between MoneyLion stock current value and its past values and can show if there is a momentum factor associated with investing in MoneyLion.
Regressed Prices |
Timeline |
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Try AI Portfolio ArchitectCheck out MoneyLion Correlation, MoneyLion Volatility and MoneyLion Alpha and Beta module to complement your research on MoneyLion. For more information on how to buy MoneyLion Stock please use our How to buy in MoneyLion Stock guide.You can also try the Earnings Calls module to check upcoming earnings announcements updated hourly across public exchanges.
MoneyLion 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.