Schwab Dividend Equity Fund Market Value
| SWDSX Fund | USD 17.21 0.04 0.23% |
| Symbol | Schwab |
Schwab Dividend '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 Dividend'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 Dividend.
| 09/03/2024 |
| 12/02/2024 |
If you would invest 0.00 in Schwab Dividend on September 3, 2024 and sell it all today you would earn a total of 0.00 from holding Schwab Dividend Equity or generate 0.0% return on investment in Schwab Dividend over 90 days. Schwab Dividend is related to or competes with Black Oak, Commodities Strategy, Rbc Emerging, Jpmorgan Emerging, Ep Emerging, Shelton Emerging, and Arrow Managed. Under normal circumstances, the fund invests at least 80 percent of its net assets in dividend paying common and preferr... More
Schwab Dividend 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 Dividend'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 Dividend Equity upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.4869 | |||
| Information Ratio | (0.05) | |||
| Maximum Drawdown | 2.65 | |||
| Value At Risk | (0.78) | |||
| Potential Upside | 0.9668 |
Schwab Dividend Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Schwab Dividend's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Schwab Dividend's standard deviation. In reality, there are many statistical measures that can use Schwab Dividend historical prices to predict the future Schwab Dividend's volatility.| Risk Adjusted Performance | 0.1388 | |||
| Jensen Alpha | 0.0131 | |||
| Total Risk Alpha | 9.0E-4 | |||
| Sortino Ratio | (0.06) | |||
| Treynor Ratio | 0.1473 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Schwab Dividend'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 Dividend Equity Backtested Returns
At this stage we consider Schwab Mutual Fund to be very steady. Schwab Dividend Equity owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.18, which indicates the fund had a 0.18% return per unit of risk over the last 3 months. We have found twenty-seven technical indicators for Schwab Dividend Equity, which you can use to evaluate the volatility of the fund. Please validate Schwab Dividend's Coefficient Of Variation of 538.28, semi deviation of 0.2914, and Risk Adjusted Performance of 0.1388 to confirm if the risk estimate we provide is consistent with the expected return of 0.1%. The entity has a beta of 0.66, which indicates possible diversification benefits within a given portfolio. As returns on the market increase, Schwab Dividend's returns are expected to increase less than the market. However, during the bear market, the loss of holding Schwab Dividend is expected to be smaller as well.
Auto-correlation | 0.62 |
Good predictability
Schwab Dividend Equity has good predictability. Overlapping area represents the amount of predictability between Schwab Dividend time series from 3rd of September 2024 to 18th of October 2024 and 18th of October 2024 to 2nd of December 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 Dividend Equity price movement. The serial correlation of 0.62 indicates that roughly 62.0% of current Schwab Dividend price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.62 | |
| Spearman Rank Test | 0.59 | |
| Residual Average | 0.0 | |
| Price Variance | 0.05 |
Schwab Dividend Equity lagged returns against current returns
Autocorrelation, which is Schwab Dividend 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 Dividend's mutual fund expected returns. We can calculate the autocorrelation of Schwab Dividend returns to help us make a trade decision. For example, suppose you find that Schwab Dividend 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 Dividend 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 Dividend mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Schwab Dividend 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 Dividend mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Schwab Dividend Lagged Returns
When evaluating Schwab Dividend's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Schwab Dividend mutual fund have on its future price. Schwab Dividend 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 Dividend autocorrelation shows the relationship between Schwab Dividend mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Schwab Dividend Equity.
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.Other Information on Investing in Schwab Mutual Fund
Schwab Dividend financial ratios help investors to determine whether Schwab Mutual Fund is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Schwab with respect to the benefits of owning Schwab Dividend security.
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