Washington Mutual Investors Fund Market Value
RWMGX Fund | USD 62.24 0.14 0.23% |
Symbol | Washington |
Washington Mutual '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 Washington Mutual'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 Washington Mutual.
08/31/2023 |
| 03/28/2024 |
If you would invest 0.00 in Washington Mutual on August 31, 2023 and sell it all today you would earn a total of 0.00 from holding Washington Mutual Investors or generate 0.0% return on investment in Washington Mutual over 210 days. Washington Mutual is related to or competes with State Farm, Income Fund, American Funds, American Mutual, American Mutual, American Funds, and American Funds. The fund invests primarily in common stocks of established companies that are listed on, or meet the financial listing r... More
Washington Mutual 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 Washington Mutual'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 Washington Mutual Investors upside and downside potential and time the market with a certain degree of confidence.
Downside Deviation | 0.5348 | |||
Information Ratio | 0.0148 | |||
Maximum Drawdown | 2.51 | |||
Value At Risk | (0.79) | |||
Potential Upside | 1.06 |
Washington Mutual Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Washington Mutual's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Washington Mutual's standard deviation. In reality, there are many statistical measures that can use Washington Mutual historical prices to predict the future Washington Mutual's volatility.Risk Adjusted Performance | 0.1446 | |||
Jensen Alpha | 0.1389 | |||
Total Risk Alpha | 0.0101 | |||
Sortino Ratio | 0.0151 | |||
Treynor Ratio | (2.51) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Washington Mutual'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.
Washington Mutual Backtested Returns
We consider Washington Mutual very steady. Washington Mutual shows Sharpe Ratio of 0.25, which attests that the fund had a 0.25% return per unit of risk over the last 3 months. We have found twenty-seven technical indicators for Washington Mutual, which you can use to evaluate the volatility of the fund. Please check out Washington Mutual's Mean Deviation of 0.4152, downside deviation of 0.5348, and Market Risk Adjusted Performance of (2.50) to validate if the risk estimate we provide is consistent with the expected return of 0.14%. The entity maintains a market beta of -0.0528, which attests to not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Washington Mutual are expected to decrease at a much lower rate. During the bear market, Washington Mutual is likely to outperform the market.
Auto-correlation | 0.61 |
Good predictability
Washington Mutual Investors has good predictability. Overlapping area represents the amount of predictability between Washington Mutual time series from 31st of August 2023 to 14th of December 2023 and 14th of December 2023 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 Washington Mutual price movement. The serial correlation of 0.61 indicates that roughly 61.0% of current Washington Mutual price fluctuation can be explain by its past prices.
Correlation Coefficient | 0.61 | |
Spearman Rank Test | 0.46 | |
Residual Average | 0.0 | |
Price Variance | 3.34 |
Washington Mutual lagged returns against current returns
Autocorrelation, which is Washington Mutual 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 Washington Mutual's mutual fund expected returns. We can calculate the autocorrelation of Washington Mutual returns to help us make a trade decision. For example, suppose you find that Washington Mutual 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 |
Washington Mutual 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 Washington Mutual mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Washington Mutual mutual fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Washington Mutual mutual fund over time.
Current vs Lagged Prices |
Timeline |
Washington Mutual Lagged Returns
When evaluating Washington Mutual's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Washington Mutual mutual fund have on its future price. Washington Mutual 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, Washington Mutual autocorrelation shows the relationship between Washington Mutual mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Washington Mutual Investors.
Regressed Prices |
Timeline |
Currently Active Assets on Macroaxis
Check out Washington Mutual Correlation, Washington Mutual Volatility and Washington Mutual Alpha and Beta module to complement your research on Washington Mutual. Note that the Washington Mutual information on this page should be used as a complementary analysis to other Washington Mutual'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 Aroon Oscillator module to analyze current equity momentum using Aroon Oscillator and other momentum ratios.
Complementary Tools for Washington Mutual Fund analysis
When running Washington Mutual's price analysis, check to measure Washington Mutual'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 Washington Mutual is operating at the current time. Most of Washington Mutual's value examination focuses on studying past and present price action to predict the probability of Washington Mutual's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Washington Mutual's price. Additionally, you may evaluate how the addition of Washington Mutual to your portfolios can decrease your overall portfolio volatility.
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Washington Mutual 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.