Wells Fargo Index Fund Market Value
WFAIX Fund | USD 39.95 0.01 0.03% |
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 mutual fund 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.
02/27/2024 |
| 03/28/2024 |
If you would invest 0.00 in Wells Fargo on February 27, 2024 and sell it all today you would earn a total of 0.00 from holding Wells Fargo Index or generate 0.0% return on investment in Wells Fargo over 30 days. Wells Fargo is related to or competes with Wells Fargo, Wells Fargo, Wells Fargo, Wells Fargo, Wells Fargo, Wells Fargo, and Wells Fargo. The fund invests at least 80 percent of its net assets in equity and fixed income securities designed to replicate the h... 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 mutual fund 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 Index upside and downside potential and time the market with a certain degree of confidence.
Downside Deviation | 0.4487 | |||
Information Ratio | (0.08) | |||
Maximum Drawdown | 2.37 | |||
Value At Risk | (0.54) | |||
Potential Upside | 0.8795 |
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 | 0.1059 | |||
Jensen Alpha | 0.088 | |||
Total Risk Alpha | (0.03) | |||
Sortino Ratio | (0.09) | |||
Treynor Ratio | (3.03) |
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 Index Backtested Returns
We consider Wells Fargo very steady. Wells Fargo Index shows Sharpe Ratio of 0.19, which attests that the fund had a 0.19% return per unit of risk over the last 3 months. We have found twenty-seven technical indicators for Wells Fargo Index, which you can use to evaluate the volatility of the fund. Please check out Wells Fargo's Downside Deviation of 0.4487, mean deviation of 0.392, and Market Risk Adjusted Performance of (3.02) to validate if the risk estimate we provide is consistent with the expected return of 0.0948%. The entity maintains a market beta of -0.0279, which attests to not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Wells Fargo are expected to decrease at a much lower rate. During the bear market, Wells Fargo is likely to outperform the market.
Auto-correlation | 0.66 |
Good predictability
Wells Fargo Index has good predictability. Overlapping area represents the amount of predictability between Wells Fargo time series from 27th of February 2024 to 13th of March 2024 and 13th of March 2024 to 28th 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 Index price movement. The serial correlation of 0.66 indicates that around 66.0% of current Wells Fargo price fluctuation can be explain by its past prices.
Correlation Coefficient | 0.66 | |
Spearman Rank Test | 0.5 | |
Residual Average | 0.0 | |
Price Variance | 0.08 |
Wells Fargo Index lagged returns against current returns
Autocorrelation, which is Wells Fargo mutual fund'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 mutual fund 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 mutual fund 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 mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Wells Fargo mutual fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Wells Fargo mutual fund 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 mutual fund 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 mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Wells Fargo Index.
Regressed Prices |
Timeline |
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards Wells Fargo in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, Wells Fargo's short interest history, or implied volatility extrapolated from Wells Fargo options trading.
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Check out Wells Fargo Correlation, Wells Fargo Volatility and Wells Fargo Alpha and Beta module to complement your research on Wells Fargo. For more information on how to buy Wells Mutual Fund please use our How to Invest in Wells Fargo guide.You can also try the Stock Screener module to find equities using a custom stock filter or screen asymmetry in trading patterns, price, volume, or investment outlook..
Complementary Tools for Wells Mutual Fund 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 mutual fund 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, fund market cycles, or different charting patterns.