Schwab 1000 Etf Market Value
| SCHK Etf | USD 33.11 0.11 0.33% |
| Symbol | Schwab |
The market value of Schwab 1000 ETF 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 1000's value that differs from its market value or its book value, called intrinsic value, which is Schwab 1000'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 1000's market value can be influenced by many factors that don't directly affect Schwab 1000'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 1000's value and its price as these two are different measures arrived at by different means. Investors typically determine if Schwab 1000 is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Schwab 1000'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 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 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 1000.
| 01/09/2024 |
| 12/29/2025 |
If you would invest 0.00 in Schwab 1000 on January 9, 2024 and sell it all today you would earn a total of 0.00 from holding Schwab 1000 ETF or generate 0.0% return on investment in Schwab 1000 over 720 days. Schwab 1000 is related to or competes with Putnam Focused, Oppenheimer Russell, BNY Mellon, Fidelity Covington, Invesco SP, VictoryShares Free, and Vanguard Russell. The Schwab 1000 Index is a float-adjusted market capitalization weighted index that includes the 1,000 largest stocks of... 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 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 1000 ETF upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.04 | |||
| Information Ratio | (0.03) | |||
| Maximum Drawdown | 3.39 | |||
| Value At Risk | (1.25) | |||
| Potential Upside | 1.14 |
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 | 0.054 | |||
| Jensen Alpha | 0.0595 | |||
| Total Risk Alpha | (0.04) | |||
| Sortino Ratio | (0.02) | |||
| Treynor Ratio | (0.43) |
Schwab 1000 ETF Backtested Returns
As of now, Schwab Etf is very steady. Schwab 1000 ETF owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.0751, which indicates the etf had a 0.0751 % return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for Schwab 1000 ETF, which you can use to evaluate the volatility of the etf. Please validate Schwab 1000's Semi Deviation of 0.9028, risk adjusted performance of 0.054, and Coefficient Of Variation of 1332.24 to confirm if the risk estimate we provide is consistent with the expected return of 0.0607%. The entity has a beta of -0.12, which indicates not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Schwab 1000 are expected to decrease at a much lower rate. During the bear market, Schwab 1000 is likely to outperform the market.
Auto-correlation | 0.83 |
Very good predictability
Schwab 1000 ETF has very good predictability. Overlapping area represents the amount of predictability between Schwab 1000 time series from 9th of January 2024 to 3rd of January 2025 and 3rd of January 2025 to 29th of December 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 1000 ETF price movement. The serial correlation of 0.83 indicates that around 83.0% of current Schwab 1000 price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.83 | |
| Spearman Rank Test | 0.83 | |
| Residual Average | 0.0 | |
| Price Variance | 5.17 |
Schwab 1000 ETF lagged returns against current returns
Autocorrelation, which is Schwab 1000 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 1000's etf 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 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 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 etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Schwab 1000 etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Schwab 1000 etf 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 etf 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 etf current value and its past values and can show if there is a momentum factor associated with investing in Schwab 1000 ETF.
Regressed Prices |
| Timeline |
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Schwab 1000 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.