Massachusetts Investors Growth Fund Market Value
| MIGHX Fund | USD 39.85 0.16 0.40% |
| Symbol | Massachusetts |
Massachusetts Investors '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 Massachusetts Investors' 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 Massachusetts Investors.
| 03/20/2024 |
| 04/19/2024 |
If you would invest 0.00 in Massachusetts Investors on March 20, 2024 and sell it all today you would earn a total of 0.00 from holding Massachusetts Investors Growth or generate 0.0% return on investment in Massachusetts Investors over 30 days. Massachusetts Investors is related to or competes with Mfs Prudent, Mfs Prudent, Mfs Prudent, Mfs Prudent, Mfs Prudent, Mfs Prudent, and Mfs Lifetime. The fund normally invests at least 80 percent of the funds net assets in stocks More
Massachusetts Investors 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 Massachusetts Investors' 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 Massachusetts Investors Growth upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.8213 | |||
| Information Ratio | (0.01) | |||
| Maximum Drawdown | 3.37 | |||
| Value At Risk | (1.28) | |||
| Potential Upside | 1.17 |
Massachusetts Investors Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Massachusetts Investors' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Massachusetts Investors' standard deviation. In reality, there are many statistical measures that can use Massachusetts Investors historical prices to predict the future Massachusetts Investors' volatility.| Risk Adjusted Performance | 0.0501 | |||
| Jensen Alpha | (0.01) | |||
| Total Risk Alpha | (0.02) | |||
| Sortino Ratio | (0.01) | |||
| Treynor Ratio | 0.0468 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Massachusetts Investors' 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.
Massachusetts Investors Backtested Returns
We consider Massachusetts Investors very steady. Massachusetts Investors has Sharpe Ratio of 0.0446, which conveys that the entity had a 0.0446% return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for Massachusetts Investors, which you can use to evaluate the volatility of the fund. Please verify Massachusetts Investors' Risk Adjusted Performance of 0.0501, mean deviation of 0.5688, and Downside Deviation of 0.8213 to check out if the risk estimate we provide is consistent with the expected return of 0.0328%. The fund secures a Beta (Market Risk) of 1.04, which conveys a somewhat significant risk relative to the market. Massachusetts Investors returns are very sensitive to returns on the market. As the market goes up or down, Massachusetts Investors is expected to follow.
Auto-correlation | 0.57 |
Modest predictability
Massachusetts Investors Growth has modest predictability. Overlapping area represents the amount of predictability between Massachusetts Investors time series from 20th of March 2024 to 4th of April 2024 and 4th of April 2024 to 19th 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 Massachusetts Investors price movement. The serial correlation of 0.57 indicates that roughly 57.0% of current Massachusetts Investors price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.57 | |
| Spearman Rank Test | 0.68 | |
| Residual Average | 0.0 | |
| Price Variance | 0.33 |
Massachusetts Investors lagged returns against current returns
Autocorrelation, which is Massachusetts Investors 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 Massachusetts Investors' mutual fund expected returns. We can calculate the autocorrelation of Massachusetts Investors returns to help us make a trade decision. For example, suppose you find that Massachusetts Investors 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 |
Massachusetts Investors 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 Massachusetts Investors mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Massachusetts Investors mutual fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Massachusetts Investors mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Massachusetts Investors Lagged Returns
When evaluating Massachusetts Investors' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Massachusetts Investors mutual fund have on its future price. Massachusetts Investors 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, Massachusetts Investors autocorrelation shows the relationship between Massachusetts Investors mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Massachusetts Investors Growth.
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 Massachusetts Investors 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, Massachusetts Investors' short interest history, or implied volatility extrapolated from Massachusetts Investors options trading.
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Try AI Portfolio ArchitectCheck out Massachusetts Investors Correlation, Massachusetts Investors Volatility and Massachusetts Investors Alpha and Beta module to complement your research on Massachusetts Investors. Note that the Massachusetts Investors information on this page should be used as a complementary analysis to other Massachusetts Investors' 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 Alpha Finder module to use alpha and beta coefficients to find investment opportunities after accounting for the risk.
Massachusetts Investors 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.