Mfs Modity Strategy Fund Market Value
| MCSRX Fund | USD 3.63 0.01 0.28% |
| Symbol | Mfs |
Mfs Commodity '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 Mfs Commodity'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 Mfs Commodity.
| 03/05/2024 |
| 11/30/2024 |
If you would invest 0.00 in Mfs Commodity on March 5, 2024 and sell it all today you would earn a total of 0.00 from holding Mfs Modity Strategy or generate 0.0% return on investment in Mfs Commodity over 270 days. Mfs Commodity is related to or competes with Mfs Prudent, Mfs Prudent, Mfs Prudent, Mfs Prudent, Mfs Prudent, Mfs Prudent, and Mfs Lifetime. The fund seeks to achieve the funds objective by providing exposure to the commodities markets through investing in comm... More
Mfs Commodity 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 Mfs Commodity'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 Mfs Modity Strategy upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.9961 | |||
| Information Ratio | (0.11) | |||
| Maximum Drawdown | 3.36 | |||
| Value At Risk | (1.35) | |||
| Potential Upside | 1.37 |
Mfs Commodity Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Mfs Commodity's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Mfs Commodity's standard deviation. In reality, there are many statistical measures that can use Mfs Commodity historical prices to predict the future Mfs Commodity's volatility.| Risk Adjusted Performance | 0.0482 | |||
| Jensen Alpha | 0.042 | |||
| Total Risk Alpha | (0.09) | |||
| Sortino Ratio | (0.09) | |||
| Treynor Ratio | (2.25) |
Mfs Modity Strategy Backtested Returns
At this stage we consider Mfs Mutual Fund to be not too volatile. Mfs Modity Strategy has Sharpe Ratio of 0.0884, which conveys that the entity had a 0.0884% return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for Mfs Commodity, which you can use to evaluate the volatility of the fund. Please verify Mfs Commodity's Mean Deviation of 0.6136, downside deviation of 0.9961, and Risk Adjusted Performance of 0.0482 to check out if the risk estimate we provide is consistent with the expected return of 0.069%. The fund secures a Beta (Market Risk) of -0.0177, which conveys not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Mfs Commodity are expected to decrease at a much lower rate. During the bear market, Mfs Commodity is likely to outperform the market.
Auto-correlation | 0.54 |
Modest predictability
Mfs Modity Strategy has modest predictability. Overlapping area represents the amount of predictability between Mfs Commodity time series from 5th of March 2024 to 18th of July 2024 and 18th of July 2024 to 30th of November 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 Mfs Modity Strategy price movement. The serial correlation of 0.54 indicates that about 54.0% of current Mfs Commodity price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.54 | |
| Spearman Rank Test | 0.24 | |
| Residual Average | 0.0 | |
| Price Variance | 0.01 |
Mfs Modity Strategy lagged returns against current returns
Autocorrelation, which is Mfs Commodity 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 Mfs Commodity's mutual fund expected returns. We can calculate the autocorrelation of Mfs Commodity returns to help us make a trade decision. For example, suppose you find that Mfs Commodity 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 |
Mfs Commodity 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 Mfs Commodity mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Mfs Commodity mutual fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Mfs Commodity mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Mfs Commodity Lagged Returns
When evaluating Mfs Commodity's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Mfs Commodity mutual fund have on its future price. Mfs Commodity 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, Mfs Commodity autocorrelation shows the relationship between Mfs Commodity mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Mfs Modity Strategy.
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.Other Information on Investing in Mfs Mutual Fund
Mfs Commodity financial ratios help investors to determine whether Mfs Mutual Fund is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Mfs with respect to the benefits of owning Mfs Commodity security.
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