Sofi Select 500 Etf Market Value
| SFY Etf | USD 110.78 0.66 0.59% |
| Symbol | SoFi |
The market value of SoFi Select 500 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 Select's value that differs from its market value or its book value, called intrinsic value, which is SoFi Select'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 Select's market value can be influenced by many factors that don't directly affect SoFi Select'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 Select's value and its price as these two are different measures arrived at by different means. Investors typically determine if SoFi Select is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, SoFi Select'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 Select '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 Select'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 Select.
| 10/29/2024 |
| 11/28/2024 |
If you would invest 0.00 in SoFi Select on October 29, 2024 and sell it all today you would earn a total of 0.00 from holding SoFi Select 500 or generate 0.0% return on investment in SoFi Select over 30 days. SoFi Select is related to or competes with Berry Petroleum, Comstock Resources, SoFi Next, and SM Energy. Under normal circumstances, at least 80 percent of the funds total assets will be invested in the component securities o... More
SoFi Select 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 Select'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 Select 500 upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.09 | |||
| Information Ratio | 0.0194 | |||
| Maximum Drawdown | 4.84 | |||
| Value At Risk | (1.69) | |||
| Potential Upside | 1.52 |
SoFi Select Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for SoFi Select's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as SoFi Select's standard deviation. In reality, there are many statistical measures that can use SoFi Select historical prices to predict the future SoFi Select's volatility.| Risk Adjusted Performance | 0.1141 | |||
| Jensen Alpha | 0.0258 | |||
| Total Risk Alpha | (0.01) | |||
| Sortino Ratio | 0.0176 | |||
| Treynor Ratio | 0.1428 |
SoFi Select 500 Backtested Returns
At this stage we consider SoFi Etf to be very steady. SoFi Select 500 owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.15, which indicates the etf had a 0.15% return per unit of volatility over the last 3 months. We have found twenty-nine technical indicators for SoFi Select 500, which you can use to evaluate the volatility of the etf. Please validate SoFi Select's coefficient of variation of 685.45, and Risk Adjusted Performance of 0.1141 to confirm if the risk estimate we provide is consistent with the expected return of 0.14%. The entity has a beta of 0.94, which indicates possible diversification benefits within a given portfolio. SoFi Select returns are very sensitive to returns on the market. As the market goes up or down, SoFi Select is expected to follow.
Auto-correlation | 0.67 |
Good predictability
SoFi Select 500 has good predictability. Overlapping area represents the amount of predictability between SoFi Select time series from 29th of October 2024 to 13th of November 2024 and 13th of November 2024 to 28th 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 Select 500 price movement. The serial correlation of 0.67 indicates that around 67.0% of current SoFi Select price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.67 | |
| Spearman Rank Test | -0.37 | |
| Residual Average | 0.0 | |
| Price Variance | 0.56 |
SoFi Select 500 lagged returns against current returns
Autocorrelation, which is SoFi Select 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 Select's etf expected returns. We can calculate the autocorrelation of SoFi Select returns to help us make a trade decision. For example, suppose you find that SoFi Select 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 Select 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 Select etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if SoFi Select etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in SoFi Select etf over time.
Current vs Lagged Prices |
| Timeline |
SoFi Select Lagged Returns
When evaluating SoFi Select's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of SoFi Select etf have on its future price. SoFi Select 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 Select autocorrelation shows the relationship between SoFi Select etf current value and its past values and can show if there is a momentum factor associated with investing in SoFi Select 500.
Regressed Prices |
| Timeline |
Also Currently Popular
Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.When determining whether SoFi Select 500 offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of SoFi Select'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 Select 500 Etf. Outlined below are crucial reports that will aid in making a well-informed decision on Sofi Select 500 Etf:Check out SoFi Select Correlation, SoFi Select Volatility and SoFi Select Alpha and Beta module to complement your research on SoFi Select. You can also try the Portfolio Center module to all portfolio management and optimization tools to improve performance of your portfolios.
SoFi Select 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.