Schwab Long Term Treasury Etf Market Value

SCHQ Etf  USD 32.13  0.29  0.91%   
Schwab Long's market value is the price at which a share of Schwab Long trades on a public exchange. It measures the collective expectations of Schwab Long Term Treasury investors about its performance. Schwab Long is selling at 32.13 as of the 6th of May 2024; that is 0.91% increase since the beginning of the trading day. The etf's last reported lowest price was 31.96.
With this module, you can estimate the performance of a buy and hold strategy of Schwab Long Term Treasury and determine expected loss or profit from investing in Schwab Long over a given investment horizon. Check out Schwab Long Correlation, Schwab Long Volatility and Schwab Long Alpha and Beta module to complement your research on Schwab Long.
Symbol

The market value of Schwab Long Term 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 Long's value that differs from its market value or its book value, called intrinsic value, which is Schwab Long'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 Long's market value can be influenced by many factors that don't directly affect Schwab Long'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 Long's value and its price as these two are different measures arrived at by different means. Investors typically determine if Schwab Long is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Schwab Long'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 Long '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 Long'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 Long.
0.00
04/06/2024
No Change 0.00  0.0 
In 31 days
05/06/2024
0.00
If you would invest  0.00  in Schwab Long on April 6, 2024 and sell it all today you would earn a total of 0.00 from holding Schwab Long Term Treasury or generate 0.0% return on investment in Schwab Long over 30 days. Schwab Long is related to or competes with IShares 1, IShares Russell, IShares IBoxx, and IShares IBoxx. To pursue its goal, the fund generally invests in securities that are included in the index More

Schwab Long 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 Long'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 Long Term Treasury upside and downside potential and time the market with a certain degree of confidence.

Schwab Long Market Risk Indicators

Today, many novice investors tend to focus exclusively on investment returns with little concern for Schwab Long's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Schwab Long's standard deviation. In reality, there are many statistical measures that can use Schwab Long historical prices to predict the future Schwab Long's volatility.
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Schwab Long'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.
Hype
Prediction
LowEstimatedHigh
31.4232.1432.86
Details
Intrinsic
Valuation
LowRealHigh
31.5332.2532.97
Details
Naive
Forecast
LowNextHigh
31.5932.3133.03
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
31.1731.7032.24
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Schwab Long. Your research has to be compared to or analyzed against Schwab Long's peers to derive any actionable benefits. When done correctly, Schwab Long's competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy toward taking a position in Schwab Long Term.

Schwab Long Term Backtested Returns

Schwab Long Term owns Efficiency Ratio (i.e., Sharpe Ratio) of -0.0857, which indicates the etf had a -0.0857% return per unit of risk over the last 3 months. Schwab Long Term Treasury exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate Schwab Long's Coefficient Of Variation of (941.10), variance of 0.6424, and Risk Adjusted Performance of (0.06) to confirm the risk estimate we provide. The entity has a beta of 0.55, which indicates possible diversification benefits within a given portfolio. As returns on the market increase, Schwab Long's returns are expected to increase less than the market. However, during the bear market, the loss of holding Schwab Long is expected to be smaller as well.

Auto-correlation

    
  -0.17  

Insignificant reverse predictability

Schwab Long Term Treasury has insignificant reverse predictability. Overlapping area represents the amount of predictability between Schwab Long time series from 6th of April 2024 to 21st of April 2024 and 21st of April 2024 to 6th 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 Long Term price movement. The serial correlation of -0.17 indicates that over 17.0% of current Schwab Long price fluctuation can be explain by its past prices.
Correlation Coefficient-0.17
Spearman Rank Test-0.34
Residual Average0.0
Price Variance0.06

Schwab Long Term lagged returns against current returns

Autocorrelation, which is Schwab Long 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 Long's etf expected returns. We can calculate the autocorrelation of Schwab Long returns to help us make a trade decision. For example, suppose you find that Schwab Long 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 Long 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 Long etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Schwab Long etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Schwab Long etf over time.
   Current vs Lagged Prices   
       Timeline  

Schwab Long Lagged Returns

When evaluating Schwab Long's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Schwab Long etf have on its future price. Schwab Long 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 Long autocorrelation shows the relationship between Schwab Long etf current value and its past values and can show if there is a momentum factor associated with investing in Schwab Long Term Treasury.
   Regressed Prices   
       Timeline  

Currently Active Assets on Macroaxis

When determining whether Schwab Long Term is a good investment, qualitative aspects like company management, corporate governance, and ethical practices play a significant role. A comparison with peer companies also provides context and helps to understand if Schwab Etf is undervalued or overvalued. This multi-faceted approach, blending both quantitative and qualitative analysis, forms a solid foundation for making an informed investment decision about Schwab Long Term Treasury Etf. Highlighted below are key reports to facilitate an investment decision about Schwab Long Term Treasury Etf:
Check out Schwab Long Correlation, Schwab Long Volatility and Schwab Long Alpha and Beta module to complement your research on Schwab Long.
Note that the Schwab Long Term information on this page should be used as a complementary analysis to other Schwab Long'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 Piotroski F Score module to get Piotroski F Score based on the binary analysis strategy of nine different fundamentals.
Schwab Long 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.
A focus of Schwab Long technical analysis is to determine if market prices reflect all relevant information impacting that market. A technical analyst looks at the history of Schwab Long trading pattern rather than external drivers such as economic, fundamental, or social events. It is believed that price action tends to repeat itself due to investors' collective, patterned behavior. Hence technical analysis focuses on identifiable price trends and conditions. More Info...