Mfs Institutional International Fund Market Value
| MIEIX Fund | USD 34.14 0.01 0.03% |
| Symbol | Mfs |
Mfs Institutional '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 Institutional'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 Institutional.
| 12/09/2024 |
| 01/08/2025 |
If you would invest 0.00 in Mfs Institutional on December 9, 2024 and sell it all today you would earn a total of 0.00 from holding Mfs Institutional International or generate 0.0% return on investment in Mfs Institutional over 30 days. Mfs Institutional is related to or competes with Classic Value, Hotchkis Wiley, Ab Small, Harbor Small, and Small Company. The fund normally invests at least 80 percent of the funds net assets in equity securities More
Mfs Institutional 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 Institutional'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 Institutional International upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.21) | |||
| Maximum Drawdown | 3.57 | |||
| Value At Risk | (1.28) | |||
| Potential Upside | 0.9784 |
Mfs Institutional Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Mfs Institutional's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Mfs Institutional's standard deviation. In reality, there are many statistical measures that can use Mfs Institutional historical prices to predict the future Mfs Institutional's volatility.| Risk Adjusted Performance | (0.14) | |||
| Jensen Alpha | (0.14) | |||
| Total Risk Alpha | (0.15) | |||
| Treynor Ratio | (0.98) |
Mfs Institutional Backtested Returns
Mfs Institutional has Sharpe Ratio of -0.15, which conveys that the entity had a -0.15% return per unit of risk over the last 3 months. Mfs Institutional exposes twenty-two different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please verify Mfs Institutional's Standard Deviation of 0.7206, risk adjusted performance of (0.14), and Mean Deviation of 0.5658 to check out the risk estimate we provide. The fund secures a Beta (Market Risk) of 0.14, which conveys not very significant fluctuations relative to the market. As returns on the market increase, Mfs Institutional's returns are expected to increase less than the market. However, during the bear market, the loss of holding Mfs Institutional is expected to be smaller as well.
Auto-correlation | -0.25 |
Weak reverse predictability
Mfs Institutional International has weak reverse predictability. Overlapping area represents the amount of predictability between Mfs Institutional time series from 9th of December 2024 to 24th of December 2024 and 24th of December 2024 to 8th of January 2025. 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 Institutional price movement. The serial correlation of -0.25 indicates that over 25.0% of current Mfs Institutional price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.25 | |
| Spearman Rank Test | -0.05 | |
| Residual Average | 0.0 | |
| Price Variance | 0.02 |
Mfs Institutional lagged returns against current returns
Autocorrelation, which is Mfs Institutional 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 Institutional's mutual fund expected returns. We can calculate the autocorrelation of Mfs Institutional returns to help us make a trade decision. For example, suppose you find that Mfs Institutional 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 Institutional 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 Institutional mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Mfs Institutional 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 Institutional mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Mfs Institutional Lagged Returns
When evaluating Mfs Institutional's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Mfs Institutional mutual fund have on its future price. Mfs Institutional 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 Institutional autocorrelation shows the relationship between Mfs Institutional mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Mfs Institutional International.
Regressed Prices |
| Timeline |
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Other Information on Investing in Mfs Mutual Fund
Mfs Institutional 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 Institutional security.
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