SOFI TECHNOLOGIES (Germany) Market Value
| 6B0 Stock | 11.12 0.48 4.51% |
| Symbol | SOFI |
SOFI TECHNOLOGIES '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 SOFI TECHNOLOGIES'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 SOFI TECHNOLOGIES.
| 12/17/2024 |
| 03/17/2025 |
If you would invest 0.00 in SOFI TECHNOLOGIES on December 17, 2024 and sell it all today you would earn a total of 0.00 from holding SOFI TECHNOLOGIES or generate 0.0% return on investment in SOFI TECHNOLOGIES over 90 days. SOFI TECHNOLOGIES is related to or competes with Stag Industrial, Zijin Mining, DISTRICT METALS, Hitachi Construction, Tokyu Construction, and Sterling Construction. More
SOFI TECHNOLOGIES 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 SOFI TECHNOLOGIES'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 SOFI TECHNOLOGIES upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.07) | |||
| Maximum Drawdown | 18.31 | |||
| Value At Risk | (6.22) | |||
| Potential Upside | 5.47 |
SOFI TECHNOLOGIES Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for SOFI TECHNOLOGIES's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as SOFI TECHNOLOGIES's standard deviation. In reality, there are many statistical measures that can use SOFI TECHNOLOGIES historical prices to predict the future SOFI TECHNOLOGIES's volatility.| Risk Adjusted Performance | (0.08) | |||
| Jensen Alpha | (0.28) | |||
| Total Risk Alpha | 0.1051 | |||
| Treynor Ratio | (0.37) |
SOFI TECHNOLOGIES Backtested Returns
SOFI TECHNOLOGIES owns Efficiency Ratio (i.e., Sharpe Ratio) of -0.12, which indicates the firm had a -0.12 % return per unit of volatility over the last 3 months. SOFI TECHNOLOGIES exposes twenty-four different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate SOFI TECHNOLOGIES's risk adjusted performance of (0.08), and Variance of 15.97 to confirm the risk estimate we provide. The entity has a beta of 1.07, which indicates a somewhat significant risk relative to the market. SOFI TECHNOLOGIES returns are very sensitive to returns on the market. As the market goes up or down, SOFI TECHNOLOGIES is expected to follow. At this point, SOFI TECHNOLOGIES has a negative expected return of -0.5%. Please make sure to validate SOFI TECHNOLOGIES's market risk adjusted performance, coefficient of variation, jensen alpha, as well as the relationship between the mean deviation and standard deviation , to decide if SOFI TECHNOLOGIES performance from the past will be repeated at future time.
Auto-correlation | -0.49 |
Modest reverse predictability
SOFI TECHNOLOGIES has modest reverse predictability. Overlapping area represents the amount of predictability between SOFI TECHNOLOGIES time series from 17th of December 2024 to 31st of January 2025 and 31st of January 2025 to 17th of March 2025. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of SOFI TECHNOLOGIES price movement. The serial correlation of -0.49 indicates that about 49.0% of current SOFI TECHNOLOGIES price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.49 | |
| Spearman Rank Test | -0.54 | |
| Residual Average | 0.0 | |
| Price Variance | 2.5 |
SOFI TECHNOLOGIES lagged returns against current returns
Autocorrelation, which is SOFI TECHNOLOGIES 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 SOFI TECHNOLOGIES's stock expected returns. We can calculate the autocorrelation of SOFI TECHNOLOGIES returns to help us make a trade decision. For example, suppose you find that SOFI TECHNOLOGIES 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 |
SOFI TECHNOLOGIES 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 SOFI TECHNOLOGIES stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if SOFI TECHNOLOGIES stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in SOFI TECHNOLOGIES stock over time.
Current vs Lagged Prices |
| Timeline |
SOFI TECHNOLOGIES Lagged Returns
When evaluating SOFI TECHNOLOGIES's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of SOFI TECHNOLOGIES stock have on its future price. SOFI TECHNOLOGIES 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, SOFI TECHNOLOGIES autocorrelation shows the relationship between SOFI TECHNOLOGIES stock current value and its past values and can show if there is a momentum factor associated with investing in SOFI TECHNOLOGIES.
Regressed Prices |
| Timeline |
Currently Active Assets on Macroaxis
Additional Information and Resources on Investing in SOFI Stock
When determining whether SOFI TECHNOLOGIES offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of SOFI TECHNOLOGIES's financial statements, including income statements, balance sheets, and cash flow statements, to assess its financial health. Key financial ratios are used to gauge profitability, efficiency, and growth potential of Sofi Technologies Stock. Outlined below are crucial reports that will aid in making a well-informed decision on Sofi Technologies Stock:Check out SOFI TECHNOLOGIES Correlation, SOFI TECHNOLOGIES Volatility and SOFI TECHNOLOGIES Alpha and Beta module to complement your research on SOFI TECHNOLOGIES. For more detail on how to invest in SOFI Stock please use our How to Invest in SOFI TECHNOLOGIES guide.You can also try the Portfolio Diagnostics module to use generated alerts and portfolio events aggregator to diagnose current holdings.
SOFI TECHNOLOGIES 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.