SCHWAB CHARLES P Market Value
| 808513AZ8 | 93.33 4.54 4.64% |
| Symbol | SCHWAB |
SCHWAB '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's bond 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.
| 11/01/2024 |
| 12/01/2024 |
If you would invest 0.00 in SCHWAB on November 1, 2024 and sell it all today you would earn a total of 0.00 from holding SCHWAB CHARLES P or generate 0.0% return on investment in SCHWAB over 30 days. SCHWAB is related to or competes with Q2 Holdings, NetSol Technologies, ServiceNow, Xponential Fitness, East Africa, and Lion One. More
SCHWAB 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's bond 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 CHARLES P upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.19) | |||
| Maximum Drawdown | 8.43 | |||
| Value At Risk | (1.53) | |||
| Potential Upside | 1.13 |
SCHWAB Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for SCHWAB's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as SCHWAB's standard deviation. In reality, there are many statistical measures that can use SCHWAB historical prices to predict the future SCHWAB's volatility.| Risk Adjusted Performance | (0.05) | |||
| Jensen Alpha | (0.07) | |||
| Total Risk Alpha | (0.30) | |||
| Treynor Ratio | 0.4602 |
SCHWAB CHARLES P Backtested Returns
SCHWAB CHARLES P owns Efficiency Ratio (i.e., Sharpe Ratio) of -0.0845, which indicates the bond had a -0.0845% return per unit of volatility over the last 3 months. SCHWAB CHARLES P exposes twenty-two different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate SCHWAB's Standard Deviation of 1.18, risk adjusted performance of (0.05), and Market Risk Adjusted Performance of 0.4702 to confirm the risk estimate we provide. The entity has a beta of -0.21, which indicates not very significant fluctuations relative to the market. As returns on the market increase, returns on owning SCHWAB are expected to decrease at a much lower rate. During the bear market, SCHWAB is likely to outperform the market.
Auto-correlation | 0.22 |
Weak predictability
SCHWAB CHARLES P has weak predictability. Overlapping area represents the amount of predictability between SCHWAB time series from 1st of November 2024 to 16th of November 2024 and 16th of November 2024 to 1st 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 CHARLES P price movement. The serial correlation of 0.22 indicates that over 22.0% of current SCHWAB price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.22 | |
| Spearman Rank Test | -0.07 | |
| Residual Average | 0.0 | |
| Price Variance | 1.49 |
SCHWAB CHARLES P lagged returns against current returns
Autocorrelation, which is SCHWAB bond'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's bond expected returns. We can calculate the autocorrelation of SCHWAB returns to help us make a trade decision. For example, suppose you find that SCHWAB has exhibited high autocorrelation historically, and you observe that the bond 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 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 bond is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if SCHWAB bond is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in SCHWAB bond over time.
Current vs Lagged Prices |
| Timeline |
SCHWAB Lagged Returns
When evaluating SCHWAB's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of SCHWAB bond have on its future price. SCHWAB 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 autocorrelation shows the relationship between SCHWAB bond current value and its past values and can show if there is a momentum factor associated with investing in SCHWAB CHARLES P.
Regressed Prices |
| Timeline |
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SCHWAB financial ratios help investors to determine whether SCHWAB Bond 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 security.