Schwab 1000 Index Fund Market Value
SNXFX Fund | USD 113.04 0.14 0.12% |
Symbol | Schwab |
Schwab 1000 '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 1000'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 1000.
04/09/2022 |
| 03/29/2024 |
If you would invest 0.00 in Schwab 1000 on April 9, 2022 and sell it all today you would earn a total of 0.00 from holding Schwab 1000 Index or generate 0.0% return on investment in Schwab 1000 over 720 days. Schwab 1000 is related to or competes with Vanguard Total, Vanguard 500, Vanguard Total, Vanguard Total, Vanguard Total, Vanguard Total, and Vanguard 500. The fund generally invests at least 80 percent of its net assets in these stocks typically, the actual percentage is con... More
Schwab 1000 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 1000'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 1000 Index upside and downside potential and time the market with a certain degree of confidence.
Downside Deviation | 0.6083 | |||
Information Ratio | 0.0329 | |||
Maximum Drawdown | 3.14 | |||
Value At Risk | (0.93) | |||
Potential Upside | 1.24 |
Schwab 1000 Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Schwab 1000's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Schwab 1000's standard deviation. In reality, there are many statistical measures that can use Schwab 1000 historical prices to predict the future Schwab 1000's volatility.Risk Adjusted Performance | 0.1298 | |||
Jensen Alpha | 0.0168 | |||
Total Risk Alpha | (0.01) | |||
Sortino Ratio | 0.037 | |||
Treynor Ratio | 0.1409 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Schwab 1000'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 1000 Index Backtested Returns
We consider Schwab 1000 very steady. Schwab 1000 Index owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.25, which indicates the fund had a 0.25% return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for Schwab 1000 Index, which you can use to evaluate the volatility of the fund. Please validate Schwab 1000's Risk Adjusted Performance of 0.1298, coefficient of variation of 434.25, and Semi Deviation of 0.3536 to confirm if the risk estimate we provide is consistent with the expected return of 0.18%. The entity has a beta of 1.05, which indicates a somewhat significant risk relative to the market. Schwab 1000 returns are very sensitive to returns on the market. As the market goes up or down, Schwab 1000 is expected to follow.
Auto-correlation | 0.08 |
Virtually no predictability
Schwab 1000 Index has virtually no predictability. Overlapping area represents the amount of predictability between Schwab 1000 time series from 9th of April 2022 to 4th of April 2023 and 4th of April 2023 to 29th of March 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 1000 Index price movement. The serial correlation of 0.08 indicates that barely 8.0% of current Schwab 1000 price fluctuation can be explain by its past prices.
Correlation Coefficient | 0.08 | |
Spearman Rank Test | -0.08 | |
Residual Average | 0.0 | |
Price Variance | 52.02 |
Schwab 1000 Index lagged returns against current returns
Autocorrelation, which is Schwab 1000 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 1000's mutual fund expected returns. We can calculate the autocorrelation of Schwab 1000 returns to help us make a trade decision. For example, suppose you find that Schwab 1000 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 1000 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 1000 mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Schwab 1000 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 1000 mutual fund over time.
Current vs Lagged Prices |
Timeline |
Schwab 1000 Lagged Returns
When evaluating Schwab 1000's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Schwab 1000 mutual fund have on its future price. Schwab 1000 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 1000 autocorrelation shows the relationship between Schwab 1000 mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Schwab 1000 Index.
Regressed Prices |
Timeline |
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards Schwab 1000 in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, Schwab 1000's short interest history, or implied volatility extrapolated from Schwab 1000 options trading.
Currently Active Assets on Macroaxis
Check out Schwab 1000 Correlation, Schwab 1000 Volatility and Schwab 1000 Alpha and Beta module to complement your research on Schwab 1000. Note that the Schwab 1000 Index information on this page should be used as a complementary analysis to other Schwab 1000'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 AI Investment Finder module to use AI to screen and filter profitable investment opportunities.
Complementary Tools for Schwab Mutual Fund analysis
When running Schwab 1000's price analysis, check to measure Schwab 1000's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Schwab 1000 is operating at the current time. Most of Schwab 1000's value examination focuses on studying past and present price action to predict the probability of Schwab 1000's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Schwab 1000's price. Additionally, you may evaluate how the addition of Schwab 1000 to your portfolios can decrease your overall portfolio volatility.
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Schwab 1000 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.