Schwab Aggregate Bond Fund Market Value
| SWAGX Fund | USD 8.69 0.03 0.35% |
| Symbol | Schwab |
Schwab Us '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 Us' 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 Us.
| 07/11/2022 |
| 05/31/2024 |
If you would invest 0.00 in Schwab Us on July 11, 2022 and sell it all today you would earn a total of 0.00 from holding Schwab Aggregate Bond or generate 0.0% return on investment in Schwab Us over 690 days. Schwab Us is related to or competes with Vanguard Total, and Bond Fund. The index is a broad-based benchmark measuring the performance of the U.S More
Schwab Us 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 Us' 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 Aggregate Bond upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.3825 | |||
| Information Ratio | (0.07) | |||
| Maximum Drawdown | 1.6 | |||
| Value At Risk | (0.57) | |||
| Potential Upside | 0.4587 |
Schwab Us Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Schwab Us' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Schwab Us' standard deviation. In reality, there are many statistical measures that can use Schwab Us historical prices to predict the future Schwab Us' volatility.| Risk Adjusted Performance | (0.01) | |||
| Jensen Alpha | (0.01) | |||
| Total Risk Alpha | (0.02) | |||
| Sortino Ratio | (0.06) | |||
| Treynor Ratio | (0.04) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Schwab Us' 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 Aggregate Bond Backtested Returns
Schwab Aggregate Bond owns Efficiency Ratio (i.e., Sharpe Ratio) of -0.0442, which indicates the fund had a -0.0442% return per unit of risk over the last 3 months. Schwab Aggregate Bond exposes twenty-seven different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate Schwab Us' Risk Adjusted Performance of (0.01), coefficient of variation of 63278.89, and Semi Deviation of 0.3506 to confirm the risk estimate we provide. The entity has a beta of 0.23, which indicates not very significant fluctuations relative to the market. As returns on the market increase, Schwab Us' returns are expected to increase less than the market. However, during the bear market, the loss of holding Schwab Us is expected to be smaller as well.
Auto-correlation | 0.59 |
Modest predictability
Schwab Aggregate Bond has modest predictability. Overlapping area represents the amount of predictability between Schwab Us time series from 11th of July 2022 to 21st of June 2023 and 21st of June 2023 to 31st of May 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 Aggregate Bond price movement. The serial correlation of 0.59 indicates that roughly 59.0% of current Schwab Us price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.59 | |
| Spearman Rank Test | 0.17 | |
| Residual Average | 0.0 | |
| Price Variance | 0.04 |
Schwab Aggregate Bond lagged returns against current returns
Autocorrelation, which is Schwab Us 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 Us' mutual fund expected returns. We can calculate the autocorrelation of Schwab Us returns to help us make a trade decision. For example, suppose you find that Schwab Us 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 Us 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 Us mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Schwab Us 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 Us mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Schwab Us Lagged Returns
When evaluating Schwab Us' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Schwab Us mutual fund have on its future price. Schwab Us 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 Us autocorrelation shows the relationship between Schwab Us mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Schwab Aggregate Bond.
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.Check out Schwab Us Correlation, Schwab Us Volatility and Schwab Us Alpha and Beta module to complement your research on Schwab Us. Note that the Schwab Aggregate Bond information on this page should be used as a complementary analysis to other Schwab Us' 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 Sync Your Broker module to sync your existing holdings, watchlists, positions or portfolios from thousands of online brokerage services, banks, investment account aggregators and robo-advisors..
Schwab Us 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.