Wells Fargo (Germany) Market Value
| NWT Stock | 73.05 0.17 0.23% |
| Symbol | Wells |
Wells Fargo '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 Fargo's stock 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 Fargo.
| 10/31/2024 |
| 11/30/2024 |
If you would invest 0.00 in Wells Fargo on October 31, 2024 and sell it all today you would earn a total of 0.00 from holding Wells Fargo or generate 0.0% return on investment in Wells Fargo over 30 days. Wells Fargo is related to or competes with JPMorgan Chase, Bank of America, Citigroup, Mitsubishi UFJ, Mitsubishi UFJ, and ING Groep. More
Wells Fargo 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 Fargo's stock 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 upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.94 | |||
| Information Ratio | 0.1543 | |||
| Maximum Drawdown | 18.33 | |||
| Value At Risk | (2.82) | |||
| Potential Upside | 4.65 |
Wells Fargo Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Wells Fargo's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Wells Fargo's standard deviation. In reality, there are many statistical measures that can use Wells Fargo historical prices to predict the future Wells Fargo's volatility.| Risk Adjusted Performance | 0.1646 | |||
| Jensen Alpha | 0.5134 | |||
| Total Risk Alpha | 0.094 | |||
| Sortino Ratio | 0.2115 | |||
| Treynor Ratio | 2.79 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Wells Fargo'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.
Wells Fargo Backtested Returns
Wells Fargo appears to be very steady, given 3 months investment horizon. Wells Fargo shows Sharpe Ratio of 0.2, which attests that the company had a 0.2% return per unit of risk over the last 3 months. By examining Wells Fargo's technical indicators, you can evaluate if the expected return of 0.54% is justified by implied risk. Please utilize Wells Fargo's Mean Deviation of 1.61, market risk adjusted performance of 2.8, and Downside Deviation of 1.94 to validate if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Wells Fargo holds a performance score of 16. The firm maintains a market beta of 0.19, which attests to not very significant fluctuations relative to the market. As returns on the market increase, Wells Fargo's returns are expected to increase less than the market. However, during the bear market, the loss of holding Wells Fargo is expected to be smaller as well. Please check Wells Fargo's semi variance, and the relationship between the treynor ratio and daily balance of power , to make a quick decision on whether Wells Fargo's historical returns will revert.
Auto-correlation | 0.93 |
Excellent predictability
Wells Fargo has excellent predictability. Overlapping area represents the amount of predictability between Wells Fargo time series from 31st of October 2024 to 15th of November 2024 and 15th of November 2024 to 30th 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 price movement. The serial correlation of 0.93 indicates that approximately 93.0% of current Wells Fargo price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.93 | |
| Spearman Rank Test | 0.9 | |
| Residual Average | 0.0 | |
| Price Variance | 2.08 |
Wells Fargo lagged returns against current returns
Autocorrelation, which is Wells Fargo stock'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 Fargo's stock expected returns. We can calculate the autocorrelation of Wells Fargo returns to help us make a trade decision. For example, suppose you find that Wells Fargo has exhibited high autocorrelation historically, and you observe that the stock 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 Fargo 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 Fargo stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Wells Fargo stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Wells Fargo stock over time.
Current vs Lagged Prices |
| Timeline |
Wells Fargo Lagged Returns
When evaluating Wells Fargo's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Wells Fargo stock have on its future price. Wells Fargo 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 Fargo autocorrelation shows the relationship between Wells Fargo stock current value and its past values and can show if there is a momentum factor associated with investing in Wells Fargo.
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.Additional Tools for Wells Stock Analysis
When running Wells Fargo's price analysis, check to measure Wells Fargo's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Wells Fargo is operating at the current time. Most of Wells Fargo's value examination focuses on studying past and present price action to predict the probability of Wells Fargo's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Wells Fargo's price. Additionally, you may evaluate how the addition of Wells Fargo to your portfolios can decrease your overall portfolio volatility.