Mfs High Income Fund Market Value
| MHIKX Fund | USD 3.08 0.02 0.65% |
| Symbol | Mfs |
Mfs High '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 High'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 High.
| 07/02/2024 |
| 12/29/2024 |
If you would invest 0.00 in Mfs High on July 2, 2024 and sell it all today you would earn a total of 0.00 from holding Mfs High Income or generate 0.0% return on investment in Mfs High over 180 days. Mfs High 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 high income debt instruments More
Mfs High 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 High'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 High Income upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.21) | |||
| Maximum Drawdown | 1.29 | |||
| Value At Risk | (0.32) | |||
| Potential Upside | 0.3226 |
Mfs High Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Mfs High's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Mfs High's standard deviation. In reality, there are many statistical measures that can use Mfs High historical prices to predict the future Mfs High's volatility.| Risk Adjusted Performance | (0.07) | |||
| Jensen Alpha | (0.02) | |||
| Total Risk Alpha | (0.03) | |||
| Treynor Ratio | 2.65 |
Mfs High Income Backtested Returns
Mfs High Income has Sharpe Ratio of -0.11, which conveys that the entity had a -0.11% return per unit of risk over the last 3 months. Mfs High exposes twenty-one different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please verify Mfs High's Standard Deviation of 0.1957, mean deviation of 0.1044, and Risk Adjusted Performance of (0.07) to check out the risk estimate we provide. The fund secures a Beta (Market Risk) of -0.0074, which conveys not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Mfs High are expected to decrease at a much lower rate. During the bear market, Mfs High is likely to outperform the market.
Auto-correlation | 0.09 |
Virtually no predictability
Mfs High Income has virtually no predictability. Overlapping area represents the amount of predictability between Mfs High time series from 2nd of July 2024 to 30th of September 2024 and 30th of September 2024 to 29th of December 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 High Income price movement. The serial correlation of 0.09 indicates that less than 9.0% of current Mfs High price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.09 | |
| Spearman Rank Test | 0.29 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Mfs High Income lagged returns against current returns
Autocorrelation, which is Mfs High 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 High's mutual fund expected returns. We can calculate the autocorrelation of Mfs High returns to help us make a trade decision. For example, suppose you find that Mfs High 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 High 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 High mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Mfs High 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 High mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Mfs High Lagged Returns
When evaluating Mfs High's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Mfs High mutual fund have on its future price. Mfs High 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 High autocorrelation shows the relationship between Mfs High mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Mfs High Income.
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 High 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 High security.
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