WELLS FARGO NEW Market Value
| 94974BGQ7 | 89.14 1.09 1.21% |
| Symbol | WELLS |
WELLS '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 WELLS'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 WELLS.
| 10/27/2024 |
| 11/26/2024 |
If you would invest 0.00 in WELLS on October 27, 2024 and sell it all today you would earn a total of 0.00 from holding WELLS FARGO NEW or generate 0.0% return on investment in WELLS over 30 days. WELLS is related to or competes with 00108WAF7, 90331HPL1, Charles Schwab, Knightscope, Liberty Media, Marvell Technology, and GM. More
WELLS 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 WELLS'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 WELLS FARGO NEW upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.09) | |||
| Maximum Drawdown | 14.16 | |||
| Value At Risk | (3.23) | |||
| Potential Upside | 3.61 |
WELLS Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for WELLS's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as WELLS's standard deviation. In reality, there are many statistical measures that can use WELLS historical prices to predict the future WELLS's volatility.| Risk Adjusted Performance | (0.01) | |||
| Jensen Alpha | (0.06) | |||
| Total Risk Alpha | (0.37) | |||
| Treynor Ratio | 3.47 |
WELLS FARGO NEW Backtested Returns
WELLS FARGO NEW shows Sharpe Ratio of -0.0526, which attests that the bond had a -0.0526% return per unit of standard deviation over the last 3 months. WELLS FARGO NEW exposes twenty-one different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check out WELLS's Standard Deviation of 2.01, mean deviation of 1.12, and Risk Adjusted Performance of (0.01) to validate the risk estimate we provide. The entity maintains a market beta of -0.0166, which attests to not very significant fluctuations relative to the market. As returns on the market increase, returns on owning WELLS are expected to decrease at a much lower rate. During the bear market, WELLS is likely to outperform the market.
Auto-correlation | -0.19 |
Insignificant reverse predictability
WELLS FARGO NEW has insignificant reverse predictability. Overlapping area represents the amount of predictability between WELLS time series from 27th of October 2024 to 11th of November 2024 and 11th of November 2024 to 26th of November 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 WELLS FARGO NEW price movement. The serial correlation of -0.19 indicates that over 19.0% of current WELLS price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.19 | |
| Spearman Rank Test | -0.3 | |
| Residual Average | 0.0 | |
| Price Variance | 0.6 |
WELLS FARGO NEW lagged returns against current returns
Autocorrelation, which is WELLS 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 WELLS's bond expected returns. We can calculate the autocorrelation of WELLS returns to help us make a trade decision. For example, suppose you find that WELLS 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 |
WELLS 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 WELLS bond is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if WELLS bond is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in WELLS bond over time.
Current vs Lagged Prices |
| Timeline |
WELLS Lagged Returns
When evaluating WELLS's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of WELLS bond have on its future price. WELLS 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, WELLS autocorrelation shows the relationship between WELLS bond current value and its past values and can show if there is a momentum factor associated with investing in WELLS FARGO NEW.
Regressed Prices |
| Timeline |
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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.Other Information on Investing in WELLS Bond
WELLS financial ratios help investors to determine whether WELLS 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 WELLS with respect to the benefits of owning WELLS security.