Washington Mutual Investors Fund Market Value
| CWMCX Fund | USD 59.76 0.65 1.10% |
| 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.
| 05/05/2022 |
| 04/24/2024 |
If you would invest 0.00 in Washington Mutual on May 5, 2022 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 720 days. Washington Mutual is related to or competes with Morningstar Unconstrained, and SPACE. 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 | 0.6979 | |||
| Information Ratio | (0.03) | |||
| Maximum Drawdown | 3.07 | |||
| Value At Risk | (1.09) | |||
| 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 | 0.0734 | |||
| Jensen Alpha | (0.01) | |||
| Total Risk Alpha | (0.02) | |||
| Sortino Ratio | (0.03) | |||
| Treynor Ratio | 0.0704 |
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 0.1, which attests that the fund had a 0.1% 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 Market Risk Adjusted Performance of 0.0804, downside deviation of 0.6979, and Mean Deviation of 0.4747 to validate if the risk estimate we provide is consistent with the expected return of 0.0668%. The entity maintains a market beta of 0.91, which attests to possible diversification benefits within a given portfolio. Washington Mutual returns are very sensitive to returns on the market. As the market goes up or down, Washington Mutual is expected to follow.
Auto-correlation | 0.38 |
Below average predictability
Washington Mutual Investors has below average predictability. Overlapping area represents the amount of predictability between Washington Mutual time series from 5th of May 2022 to 30th of April 2023 and 30th of April 2023 to 24th of April 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 0.38 indicates that just about 38.0% of current Washington Mutual price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.38 | |
| Spearman Rank Test | 0.25 | |
| Residual Average | 0.0 | |
| Price Variance | 12.98 |
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 |
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 Washington Mutual 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, Washington Mutual's short interest history, or implied volatility extrapolated from Washington Mutual options trading.
Pair Trading with Washington Mutual
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Washington Mutual position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Washington Mutual will appreciate offsetting losses from the drop in the long position's value.Moving together with Washington Mutual Fund
| 0.94 | AMECX | Income Fund | PairCorr |
| 0.97 | RNEBX | New World Fund | PairCorr |
| 0.96 | AMFCX | American Mutual | PairCorr |
| 0.96 | AMFFX | American Mutual | PairCorr |
| 0.94 | RNCCX | American Funds Me | PairCorr |
The ability to find closely correlated positions to Washington Mutual could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Washington Mutual when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Washington Mutual - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Washington Mutual Investors to buy it.
The correlation of Washington Mutual is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Washington Mutual moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Washington Mutual moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Washington Mutual can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.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 ETF Categories module to list of ETF categories grouped based on various criteria, such as the investment strategy or type of investments.
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.