Wells Fargo Stock Market Value
WFC Stock | USD 57.96 0.35 0.61% |
Symbol | Wells |
Wells Fargo Price To Book Ratio
Is Wells Fargo's industry expected to grow? Or is there an opportunity to expand the business' product line in the future? Factors like these will boost the valuation of Wells Fargo. If investors know Wells will grow in the future, the company's valuation will be higher. The financial industry is built on trying to define current growth potential and future valuation accurately. All the valuation information about Wells Fargo listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Quarterly Earnings Growth 0.15 | Dividend Share 1.3 | Earnings Share 4.83 | Revenue Per Share 20.931 | Quarterly Revenue Growth 0.006 |
The market value of Wells Fargo is measured differently than its book value, which is the value of Wells that is recorded on the company's balance sheet. Investors also form their own opinion of Wells Fargo's value that differs from its market value or its book value, called intrinsic value, which is Wells Fargo'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 Wells Fargo's market value can be influenced by many factors that don't directly affect Wells Fargo'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 Wells Fargo's value and its price as these two are different measures arrived at by different means. Investors typically determine if Wells Fargo is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Wells Fargo'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.
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.
05/09/2022 |
| 03/29/2024 |
If you would invest 0.00 in Wells Fargo on May 9, 2022 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 690 days. Wells Fargo is related to or competes with Disney, General Electric, McDonalds, International Business, HP, Boeing, and Verizon Communications. Wells Fargo Company, a diversified financial services company, provides banking, investment, mortgage, and consumer and ... 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 | 1.17 | |||
Information Ratio | 0.0946 | |||
Maximum Drawdown | 8.55 | |||
Value At Risk | (1.39) | |||
Potential Upside | 1.72 |
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 | 0.1113 | |||
Jensen Alpha | 0.123 | |||
Total Risk Alpha | (0.06) | |||
Sortino Ratio | 0.1154 | |||
Treynor Ratio | 0.2375 |
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 0.19, which attests that the company had a 0.19% return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for Wells Fargo, which you can use to evaluate the volatility of the company. Please utilize Wells Fargo's Market Risk Adjusted Performance of 0.2475, downside deviation of 1.17, and Mean Deviation of 0.9766 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 15. The firm maintains a market beta of 1.09, which attests to a somewhat significant risk relative to the market. Wells Fargo returns are very sensitive to returns on the market. As the market goes up or down, Wells Fargo is expected to follow. Please check Wells Fargo's downside variance, and the relationship between the treynor ratio and kurtosis , to make a quick decision on whether Wells Fargo's historical returns will revert.
Auto-correlation | -0.22 |
Weak reverse predictability
Wells Fargo has weak reverse predictability. Overlapping area represents the amount of predictability between Wells Fargo time series from 9th of May 2022 to 19th of April 2023 and 19th of April 2023 to 29th of March 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 -0.22 indicates that over 22.0% of current Wells Fargo price fluctuation can be explain by its past prices.
Correlation Coefficient | -0.22 | |
Spearman Rank Test | 0.15 | |
Residual Average | 0.0 | |
Price Variance | 31.42 |
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.CLSK | CleanSpark | |
V | Visa Class A | |
CDLX | Cardlytics |
Check out Wells Fargo Correlation, Wells Fargo Volatility and Wells Fargo Alpha and Beta module to complement your research on Wells Fargo. For information on how to trade Wells Stock refer to our How to Trade Wells Stock guide.Note that the Wells Fargo information on this page should be used as a complementary analysis to other Wells Fargo'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 AI Portfolio Architect module to use AI to generate optimal portfolios and find profitable investment opportunities.
Complementary 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.
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Wells Fargo technical stock 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, stock market cycles, or different charting patterns.