Sofi Technologies Stock Market Value
| SOFI Stock | USD 16.41 0.29 1.80% |
| Symbol | SoFi |
SoFi Technologies Price To Book Ratio
Is Consumer Finance 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 SoFi Technologies. If investors know SoFi 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 SoFi Technologies listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Earnings Share 0.12 | Revenue Per Share 2.472 | Quarterly Revenue Growth 0.341 | Return On Assets 0.0069 | Return On Equity 0.0372 |
The market value of SoFi Technologies is measured differently than its book value, which is the value of SoFi that is recorded on the company's balance sheet. Investors also form their own opinion of SoFi Technologies' value that differs from its market value or its book value, called intrinsic value, which is SoFi Technologies' 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 SoFi Technologies' market value can be influenced by many factors that don't directly affect SoFi Technologies' 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 SoFi Technologies' value and its price as these two are different measures arrived at by different means. Investors typically determine if SoFi Technologies is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, SoFi Technologies' 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.
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' 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.
| 06/03/2024 |
| 11/30/2024 |
If you would invest 0.00 in SoFi Technologies on June 3, 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 180 days. SoFi Technologies is related to or competes with 360 Finance, Atlanticus Holdings, Qudian, Enova International, LendingClub Corp, FinVolution, and Yirendai. SoFi Technologies, Inc. provides digital financial services 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' 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.
| Downside Deviation | 2.4 | |||
| Information Ratio | 0.3352 | |||
| Maximum Drawdown | 17.87 | |||
| Value At Risk | (2.94) | |||
| Potential Upside | 7.21 |
SoFi Technologies Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for SoFi Technologies' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as SoFi Technologies' standard deviation. In reality, there are many statistical measures that can use SoFi Technologies historical prices to predict the future SoFi Technologies' volatility.| Risk Adjusted Performance | 0.2957 | |||
| Jensen Alpha | 1.0 | |||
| Total Risk Alpha | 0.6851 | |||
| Sortino Ratio | 0.4628 | |||
| Treynor Ratio | 0.6726 |
SoFi Technologies Backtested Returns
SoFi Technologies is not too volatile given 3 months investment horizon. SoFi Technologies owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.41, which indicates the firm had a 0.41% return per unit of volatility over the last 3 months. We were able to analyze and collect data for twenty-nine different technical indicators, which can help you to evaluate if expected returns of 1.29% are justified by taking the suggested risk. Use SoFi Technologies coefficient of variation of 265.46, and Risk Adjusted Performance of 0.2957 to evaluate company specific risk that cannot be diversified away. SoFi Technologies holds a performance score of 32 on a scale of zero to a hundred. The entity has a beta of 1.84, which indicates 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, SoFi Technologies will likely underperform. Use SoFi Technologies total risk alpha, expected short fall, price action indicator, as well as the relationship between the value at risk and daily balance of power , to analyze future returns on SoFi Technologies.
Auto-correlation | 0.55 |
Modest predictability
SoFi Technologies has modest predictability. Overlapping area represents the amount of predictability between SoFi Technologies time series from 3rd of June 2024 to 1st of September 2024 and 1st of September 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 SoFi Technologies price movement. The serial correlation of 0.55 indicates that about 55.0% of current SoFi Technologies price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.55 | |
| Spearman Rank Test | 0.41 | |
| Residual Average | 0.0 | |
| Price Variance | 7.64 |
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' 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 |
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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' 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
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' 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 Equity Valuation module to check real value of public entities based on technical and fundamental data.
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.