Sofi Social 50 Etf Market Value
| SFYF Etf | USD 41.93 0.50 1.21% |
| Symbol | SoFi |
The market value of SoFi Social 50 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 Social's value that differs from its market value or its book value, called intrinsic value, which is SoFi Social'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 SoFi Social's market value can be influenced by many factors that don't directly affect SoFi Social'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 SoFi Social's value and its price as these two are different measures arrived at by different means. Investors typically determine if SoFi Social is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, SoFi Social'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.
SoFi Social '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 Social's etf 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 Social.
| 01/31/2025 |
| 03/02/2025 |
If you would invest 0.00 in SoFi Social on January 31, 2025 and sell it all today you would earn a total of 0.00 from holding SoFi Social 50 or generate 0.0% return on investment in SoFi Social over 30 days. SoFi Social is related to or competes with SoFi Next, SoFi Select, and Invesco Dynamic. Under normal circumstances, at least 80 percent of the funds total assets will be invested in the component securities o... More
SoFi Social 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 Social's etf 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 Social 50 upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.67 | |||
| Information Ratio | 0.019 | |||
| Maximum Drawdown | 6.85 | |||
| Value At Risk | (2.64) | |||
| Potential Upside | 2.32 |
SoFi Social Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for SoFi Social's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as SoFi Social's standard deviation. In reality, there are many statistical measures that can use SoFi Social historical prices to predict the future SoFi Social's volatility.| Risk Adjusted Performance | 0.0127 | |||
| Jensen Alpha | 0.0202 | |||
| Total Risk Alpha | 0.0524 | |||
| Sortino Ratio | 0.0171 | |||
| Treynor Ratio | 0.0086 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of SoFi Social's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
SoFi Social 50 Backtested Returns
SoFi Social 50 owns Efficiency Ratio (i.e., Sharpe Ratio) of -0.0149, which indicates the etf had a -0.0149 % return per unit of volatility over the last 3 months. SoFi Social 50 exposes twenty-nine different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate SoFi Social's coefficient of variation of 9694.16, and Risk Adjusted Performance of 0.0127 to confirm the risk estimate we provide. The entity has a beta of 0.64, which indicates possible diversification benefits within a given portfolio. As returns on the market increase, SoFi Social's returns are expected to increase less than the market. However, during the bear market, the loss of holding SoFi Social is expected to be smaller as well.
Auto-correlation | -0.54 |
Good reverse predictability
SoFi Social 50 has good reverse predictability. Overlapping area represents the amount of predictability between SoFi Social time series from 31st of January 2025 to 15th of February 2025 and 15th of February 2025 to 2nd 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 Social 50 price movement. The serial correlation of -0.54 indicates that about 54.0% of current SoFi Social price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.54 | |
| Spearman Rank Test | -0.45 | |
| Residual Average | 0.0 | |
| Price Variance | 2.89 |
SoFi Social 50 lagged returns against current returns
Autocorrelation, which is SoFi Social etf'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 Social's etf expected returns. We can calculate the autocorrelation of SoFi Social returns to help us make a trade decision. For example, suppose you find that SoFi Social has exhibited high autocorrelation historically, and you observe that the etf 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 Social 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 Social etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if SoFi Social etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in SoFi Social etf over time.
Current vs Lagged Prices |
| Timeline |
SoFi Social Lagged Returns
When evaluating SoFi Social's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of SoFi Social etf have on its future price. SoFi Social 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 Social autocorrelation shows the relationship between SoFi Social etf current value and its past values and can show if there is a momentum factor associated with investing in SoFi Social 50.
Regressed Prices |
| Timeline |
Currently Active Assets on Macroaxis
When determining whether SoFi Social 50 is a strong investment it is important to analyze SoFi Social's competitive position within its industry, examining market share, product or service uniqueness, and competitive advantages. Beyond financials and market position, potential investors should also consider broader economic conditions, industry trends, and any regulatory or geopolitical factors that may impact SoFi Social's future performance. For an informed investment choice regarding SoFi Etf, refer to the following important reports:Check out SoFi Social Correlation, SoFi Social Volatility and SoFi Social Alpha and Beta module to complement your research on SoFi Social. You can also try the Transaction History module to view history of all your transactions and understand their impact on performance.
SoFi Social technical etf 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, etf market cycles, or different charting patterns.