Schwab Markettrack All Fund Market Value
| SWEGX Fund | USD 22.26 0.10 0.45% |
| Symbol | Schwab |
Schwab Markettrack '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 Markettrack's mutual fund 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 Markettrack.
| 04/29/2022 |
| 04/18/2024 |
If you would invest 0.00 in Schwab Markettrack on April 29, 2022 and sell it all today you would earn a total of 0.00 from holding Schwab Markettrack All or generate 0.0% return on investment in Schwab Markettrack over 720 days. Schwab Markettrack is related to or competes with American Funds, HUMANA, Thrivent High, Morningstar Unconstrained, Via Renewables, T Rowe, and Victory Sophus. To pursue its goal, the fund maintains a defined asset allocation More
Schwab Markettrack 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 Markettrack's mutual fund 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 Markettrack All upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.9599 | |||
| Information Ratio | (0.02) | |||
| Maximum Drawdown | 3.82 | |||
| Value At Risk | (1.31) | |||
| Potential Upside | 1.09 |
Schwab Markettrack Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Schwab Markettrack's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Schwab Markettrack's standard deviation. In reality, there are many statistical measures that can use Schwab Markettrack historical prices to predict the future Schwab Markettrack's volatility.| Risk Adjusted Performance | 0.0372 | |||
| Jensen Alpha | (0.01) | |||
| Total Risk Alpha | (0.02) | |||
| Sortino Ratio | (0.01) | |||
| Treynor Ratio | 0.0348 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Schwab Markettrack'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.
Schwab Markettrack All Backtested Returns
We consider Schwab Markettrack very steady. Schwab Markettrack All owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.0791, which indicates the fund had a 0.0791% return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for Schwab Markettrack All, which you can use to evaluate the volatility of the fund. Please validate Schwab Markettrack's Coefficient Of Variation of 1768.61, risk adjusted performance of 0.0372, and Semi Deviation of 0.7251 to confirm if the risk estimate we provide is consistent with the expected return of 0.0586%. The entity has a beta of 0.92, which indicates possible diversification benefits within a given portfolio. Schwab Markettrack returns are very sensitive to returns on the market. As the market goes up or down, Schwab Markettrack is expected to follow.
Auto-correlation | 0.52 |
Modest predictability
Schwab Markettrack All has modest predictability. Overlapping area represents the amount of predictability between Schwab Markettrack time series from 29th of April 2022 to 24th of April 2023 and 24th of April 2023 to 18th of April 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 Schwab Markettrack All price movement. The serial correlation of 0.52 indicates that about 52.0% of current Schwab Markettrack price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.52 | |
| Spearman Rank Test | 0.33 | |
| Residual Average | 0.0 | |
| Price Variance | 1.63 |
Schwab Markettrack All lagged returns against current returns
Autocorrelation, which is Schwab Markettrack mutual fund'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 Markettrack's mutual fund expected returns. We can calculate the autocorrelation of Schwab Markettrack returns to help us make a trade decision. For example, suppose you find that Schwab Markettrack has exhibited high autocorrelation historically, and you observe that the mutual fund 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 Markettrack 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 Markettrack mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Schwab Markettrack mutual fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Schwab Markettrack mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Schwab Markettrack Lagged Returns
When evaluating Schwab Markettrack's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Schwab Markettrack mutual fund have on its future price. Schwab Markettrack 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 Markettrack autocorrelation shows the relationship between Schwab Markettrack mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Schwab Markettrack All.
Regressed Prices |
| Timeline |
Currently Active Assets on Macroaxis
Check out Schwab Markettrack Correlation, Schwab Markettrack Volatility and Schwab Markettrack Alpha and Beta module to complement your research on Schwab Markettrack. Note that the Schwab Markettrack All information on this page should be used as a complementary analysis to other Schwab Markettrack's statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Share Portfolio module to track or share privately all of your investments from the convenience of any device.
Schwab Markettrack technical mutual fund 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, fund market cycles, or different charting patterns.