Schwab Mortgage Backed Securities Etf Market Value
| SMBS Etf | 25.40 0.18 0.71% |
| Symbol | Schwab |
The market value of Schwab Mortgage Backed is measured differently than its book value, which is the value of Schwab that is recorded on the company's balance sheet. Investors also form their own opinion of Schwab Mortgage's value that differs from its market value or its book value, called intrinsic value, which is Schwab Mortgage'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 Schwab Mortgage's market value can be influenced by many factors that don't directly affect Schwab Mortgage'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 Schwab Mortgage's value and its price as these two are different measures arrived at by different means. Investors typically determine if Schwab Mortgage is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Schwab Mortgage'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.
Schwab Mortgage '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 Schwab Mortgage'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 Schwab Mortgage.
| 06/01/2024 |
| 02/26/2025 |
If you would invest 0.00 in Schwab Mortgage on June 1, 2024 and sell it all today you would earn a total of 0.00 from holding Schwab Mortgage Backed Securities or generate 0.0% return on investment in Schwab Mortgage over 270 days. Schwab Mortgage is related to or competes with FlexShares Disciplined, Vanguard Mortgage, Simplify Exchange, WisdomTree Mortgage, IShares MBS, Quaker Investment, and IShares GNMA. More
Schwab Mortgage 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 Schwab Mortgage'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 Schwab Mortgage Backed Securities upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.293 | |||
| Information Ratio | 0.0172 | |||
| Maximum Drawdown | 1.58 | |||
| Value At Risk | (0.48) | |||
| Potential Upside | 0.5647 |
Schwab Mortgage Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Schwab Mortgage's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Schwab Mortgage's standard deviation. In reality, there are many statistical measures that can use Schwab Mortgage historical prices to predict the future Schwab Mortgage's volatility.| Risk Adjusted Performance | 0.0335 | |||
| Jensen Alpha | 0.01 | |||
| Total Risk Alpha | 0.0084 | |||
| Sortino Ratio | 0.0196 | |||
| Treynor Ratio | 0.0769 |
Schwab Mortgage Backed Backtested Returns
Currently, Schwab Mortgage Backed Securities is very steady. Schwab Mortgage Backed owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.0483, which indicates the etf had a 0.0483 % return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for Schwab Mortgage Backed Securities, which you can use to evaluate the volatility of the etf. Please validate Schwab Mortgage's Semi Deviation of 0.2376, coefficient of variation of 1618.38, and Risk Adjusted Performance of 0.0335 to confirm if the risk estimate we provide is consistent with the expected return of 0.0162%. The entity has a beta of 0.14, which indicates not very significant fluctuations relative to the market. As returns on the market increase, Schwab Mortgage's returns are expected to increase less than the market. However, during the bear market, the loss of holding Schwab Mortgage is expected to be smaller as well.
Auto-correlation | 0.00 |
No correlation between past and present
Schwab Mortgage Backed Securities has no correlation between past and present. Overlapping area represents the amount of predictability between Schwab Mortgage time series from 1st of June 2024 to 14th of October 2024 and 14th of October 2024 to 26th of February 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 Schwab Mortgage Backed price movement. The serial correlation of 0.0 indicates that just 0.0% of current Schwab Mortgage price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.0 | |
| Spearman Rank Test | 0.0 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Schwab Mortgage Backed lagged returns against current returns
Autocorrelation, which is Schwab Mortgage 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 Schwab Mortgage's etf expected returns. We can calculate the autocorrelation of Schwab Mortgage returns to help us make a trade decision. For example, suppose you find that Schwab Mortgage 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 |
Schwab Mortgage 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 Schwab Mortgage etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Schwab Mortgage etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Schwab Mortgage etf over time.
Current vs Lagged Prices |
| Timeline |
Schwab Mortgage Lagged Returns
When evaluating Schwab Mortgage's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Schwab Mortgage etf have on its future price. Schwab Mortgage 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, Schwab Mortgage autocorrelation shows the relationship between Schwab Mortgage etf current value and its past values and can show if there is a momentum factor associated with investing in Schwab Mortgage Backed Securities.
Regressed Prices |
| Timeline |
Thematic Opportunities
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Check out Schwab Mortgage Correlation, Schwab Mortgage Volatility and Schwab Mortgage Alpha and Beta module to complement your research on Schwab Mortgage. You can also try the Bollinger Bands module to use Bollinger Bands indicator to analyze target price for a given investing horizon.
Schwab Mortgage 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.