Mfs Variable Insurance Fund Market Value
| SCREX Fund | USD 40.96 0.24 0.59% |
| Symbol | Mfs |
Mfs Variable '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 Variable'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 Variable.
| 10/29/2024 |
| 11/28/2024 |
If you would invest 0.00 in Mfs Variable on October 29, 2024 and sell it all today you would earn a total of 0.00 from holding Mfs Variable Insurance or generate 0.0% return on investment in Mfs Variable over 30 days. Mfs Variable is related to or competes with Realty Income, Dynex Capital, First Industrial, Healthcare Realty, Kennedy Wilson, Belpointe PREP, and Park Hotels. To pursue its investment objective, the fund will invest, under normal circumstances, at least 80 percent of its net assets in securities of real estate and real estate-related companies, or in companies which own significant real estate assets at the time of purchase including Real Estate Investment Trusts . More
Mfs Variable 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 Variable'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 Variable Insurance upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.7968 | |||
| Information Ratio | (0.06) | |||
| Maximum Drawdown | 3.41 | |||
| Value At Risk | (1.12) | |||
| Potential Upside | 1.19 |
Mfs Variable Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Mfs Variable's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Mfs Variable's standard deviation. In reality, there are many statistical measures that can use Mfs Variable historical prices to predict the future Mfs Variable's volatility.| Risk Adjusted Performance | 0.0776 | |||
| Jensen Alpha | 0.0552 | |||
| Total Risk Alpha | (0.05) | |||
| Sortino Ratio | (0.06) | |||
| Treynor Ratio | 0.5397 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Mfs Variable'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.
Mfs Variable Insurance Backtested Returns
At this stage we consider Mfs Mutual Fund to be very steady. Mfs Variable Insurance has Sharpe Ratio of 0.0941, which conveys that the entity had a 0.0941% return per unit of risk over the last 3 months. We have found twenty-seven technical indicators for Mfs Variable, which you can use to evaluate the volatility of the fund. Please verify Mfs Variable's Risk Adjusted Performance of 0.0776, mean deviation of 0.6609, and Downside Deviation of 0.7968 to check out if the risk estimate we provide is consistent with the expected return of 0.075%. The fund secures a Beta (Market Risk) of 0.13, which conveys not very significant fluctuations relative to the market. As returns on the market increase, Mfs Variable's returns are expected to increase less than the market. However, during the bear market, the loss of holding Mfs Variable is expected to be smaller as well.
Auto-correlation | 0.43 |
Average predictability
Mfs Variable Insurance has average predictability. Overlapping area represents the amount of predictability between Mfs Variable time series from 29th of October 2024 to 13th of November 2024 and 13th of November 2024 to 28th 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 Variable Insurance price movement. The serial correlation of 0.43 indicates that just about 43.0% of current Mfs Variable price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.43 | |
| Spearman Rank Test | 0.19 | |
| Residual Average | 0.0 | |
| Price Variance | 0.42 |
Mfs Variable Insurance lagged returns against current returns
Autocorrelation, which is Mfs Variable 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 Variable's mutual fund expected returns. We can calculate the autocorrelation of Mfs Variable returns to help us make a trade decision. For example, suppose you find that Mfs Variable 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 Variable 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 Variable mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Mfs Variable 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 Variable mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Mfs Variable Lagged Returns
When evaluating Mfs Variable's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Mfs Variable mutual fund have on its future price. Mfs Variable 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 Variable autocorrelation shows the relationship between Mfs Variable mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Mfs Variable Insurance.
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 Variable 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 Variable security.
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