Mfs Blended Research Fund Market Value
| BRSHX Fund | USD 13.93 0.16 1.16% |
| Symbol | Mfs |
Mfs Blended '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 Blended'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 Blended.
| 03/24/2024 |
| 04/23/2024 |
If you would invest 0.00 in Mfs Blended on March 24, 2024 and sell it all today you would earn a total of 0.00 from holding Mfs Blended Research or generate 0.0% return on investment in Mfs Blended over 30 days. Mfs Blended 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 equity securities of issuers with small market ... More
Mfs Blended 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 Blended'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 Blended Research upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.08) | |||
| Maximum Drawdown | 5.07 | |||
| Value At Risk | (1.87) | |||
| Potential Upside | 1.63 |
Mfs Blended Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Mfs Blended's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Mfs Blended's standard deviation. In reality, there are many statistical measures that can use Mfs Blended historical prices to predict the future Mfs Blended's volatility.| Risk Adjusted Performance | 0.0036 | |||
| Jensen Alpha | (0.14) | |||
| Total Risk Alpha | (0.15) | |||
| Treynor Ratio | (0.01) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Mfs Blended'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 Blended Research Backtested Returns
Mfs Blended Research has Sharpe Ratio of -0.0264, which conveys that the entity had a -0.0264% return per unit of risk over the last 3 months. Mfs Blended exposes twenty-one different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please verify Mfs Blended's Risk Adjusted Performance of 0.0036, mean deviation of 0.8818, and Standard Deviation of 1.11 to check out the risk estimate we provide. The fund secures a Beta (Market Risk) of 1.57, which conveys a somewhat significant risk relative to the market. As the market goes up, the company is expected to outperform it. However, if the market returns are negative, Mfs Blended will likely underperform.
Auto-correlation | 0.33 |
Below average predictability
Mfs Blended Research has below average predictability. Overlapping area represents the amount of predictability between Mfs Blended time series from 24th of March 2024 to 8th of April 2024 and 8th of April 2024 to 23rd 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 Mfs Blended Research price movement. The serial correlation of 0.33 indicates that nearly 33.0% of current Mfs Blended price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.33 | |
| Spearman Rank Test | 0.16 | |
| Residual Average | 0.0 | |
| Price Variance | 0.13 |
Mfs Blended Research lagged returns against current returns
Autocorrelation, which is Mfs Blended 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 Blended's mutual fund expected returns. We can calculate the autocorrelation of Mfs Blended returns to help us make a trade decision. For example, suppose you find that Mfs Blended 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 Blended 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 Blended mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Mfs Blended 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 Blended mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Mfs Blended Lagged Returns
When evaluating Mfs Blended's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Mfs Blended mutual fund have on its future price. Mfs Blended 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 Blended autocorrelation shows the relationship between Mfs Blended mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Mfs Blended Research.
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 Mfs Blended 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, Mfs Blended's short interest history, or implied volatility extrapolated from Mfs Blended options trading.
Pair Trading with Mfs Blended
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Mfs Blended position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Mfs Blended will appreciate offsetting losses from the drop in the long position's value.The ability to find closely correlated positions to Mfs Blended could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Mfs Blended when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Mfs Blended - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Mfs Blended Research to buy it.
The correlation of Mfs Blended is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Mfs Blended moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Mfs Blended Research moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Mfs Blended can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.Check out Mfs Blended Correlation, Mfs Blended Volatility and Mfs Blended Alpha and Beta module to complement your research on Mfs Blended. Note that the Mfs Blended Research information on this page should be used as a complementary analysis to other Mfs Blended's 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 Instant Ratings module to determine any equity ratings based on digital recommendations. Macroaxis instant equity ratings are based on combination of fundamental analysis and risk-adjusted market performance.
Mfs Blended 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.