Schwab Large Cap Etf Market Value
SCHX Etf | USD 23.51 0.38 1.64% |
Symbol | Schwab |
The market value of Schwab Large Cap 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 Large's value that differs from its market value or its book value, called intrinsic value, which is Schwab Large'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 Large's market value can be influenced by many factors that don't directly affect Schwab Large'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 Large's value and its price as these two are different measures arrived at by different means. Investors typically determine if Schwab Large is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Schwab Large'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 Large '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 Large'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 Large.
03/13/2023 |
| 03/02/2025 |
If you would invest 0.00 in Schwab Large on March 13, 2023 and sell it all today you would earn a total of 0.00 from holding Schwab Large Cap ETF or generate 0.0% return on investment in Schwab Large over 720 days. Schwab Large is related to or competes with Schwab Small, Schwab International, Schwab Emerging, Schwab Broad, and Schwab Large. To pursue its goal, the fund generally invests in stocks that are included in the Dow Jones U.S More
Schwab Large 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 Large'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 Large Cap ETF upside and downside potential and time the market with a certain degree of confidence.
Downside Deviation | 1.05 | |||
Information Ratio | 0.0234 | |||
Maximum Drawdown | 3.89 | |||
Value At Risk | (1.46) | |||
Potential Upside | 1.17 |
Schwab Large Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Schwab Large's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Schwab Large's standard deviation. In reality, there are many statistical measures that can use Schwab Large historical prices to predict the future Schwab Large's volatility.Risk Adjusted Performance | 0.0072 | |||
Jensen Alpha | 0.0108 | |||
Total Risk Alpha | 0.0231 | |||
Sortino Ratio | 0.0188 | |||
Treynor Ratio | (0.01) |
Schwab Large Cap Backtested Returns
Schwab Large Cap owns Efficiency Ratio (i.e., Sharpe Ratio) of -0.0252, which indicates the etf had a -0.0252 % return per unit of risk over the last 3 months. Schwab Large Cap ETF exposes twenty-nine different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate Schwab Large's Coefficient Of Variation of 12503.56, risk adjusted performance of 0.0072, and Semi Deviation of 0.9885 to confirm the risk estimate we provide. The entity has a beta of 0.61, which indicates possible diversification benefits within a given portfolio. As returns on the market increase, Schwab Large's returns are expected to increase less than the market. However, during the bear market, the loss of holding Schwab Large is expected to be smaller as well.
Auto-correlation | 0.83 |
Very good predictability
Schwab Large Cap ETF has very good predictability. Overlapping area represents the amount of predictability between Schwab Large time series from 13th of March 2023 to 7th of March 2024 and 7th of March 2024 to 2nd of March 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 Large Cap price movement. The serial correlation of 0.83 indicates that around 83.0% of current Schwab Large price fluctuation can be explain by its past prices.
Correlation Coefficient | 0.83 | |
Spearman Rank Test | 0.81 | |
Residual Average | 0.0 | |
Price Variance | 2.1 |
Schwab Large Cap lagged returns against current returns
Autocorrelation, which is Schwab Large 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 Large's etf expected returns. We can calculate the autocorrelation of Schwab Large returns to help us make a trade decision. For example, suppose you find that Schwab Large 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 Large 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 Large etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Schwab Large etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Schwab Large etf over time.
Current vs Lagged Prices |
Timeline |
Schwab Large Lagged Returns
When evaluating Schwab Large's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Schwab Large etf have on its future price. Schwab Large 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 Large autocorrelation shows the relationship between Schwab Large etf current value and its past values and can show if there is a momentum factor associated with investing in Schwab Large Cap ETF.
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.When determining whether Schwab Large Cap offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of Schwab Large's financial statements, including income statements, balance sheets, and cash flow statements, to assess its financial health. Key financial ratios are used to gauge profitability, efficiency, and growth potential of Schwab Large Cap Etf. Outlined below are crucial reports that will aid in making a well-informed decision on Schwab Large Cap Etf:Check out Schwab Large Correlation, Schwab Large Volatility and Schwab Large Alpha and Beta module to complement your research on Schwab Large. You can also try the Bonds Directory module to find actively traded corporate debentures issued by US companies.
Schwab Large 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.