Mfs Technology Fund Market Value
MTCLX Fund | USD 69.49 0.01 0.01% |
Symbol | Mfs |
Mfs Technology '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 Technology'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 Technology.
04/03/2023 |
| 03/28/2024 |
If you would invest 0.00 in Mfs Technology on April 3, 2023 and sell it all today you would earn a total of 0.00 from holding Mfs Technology Fund or generate 0.0% return on investment in Mfs Technology over 360 days. Mfs Technology is related to or competes with Mind Technology, VHAI, Voxeljet, VivoPower International, Exela Technologies, Mfs Prudent, and Mfs Prudent. The fund normally invests at least 80 percent of the funds net assets in securities of issuers principally engaged in of... More
Mfs Technology 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 Technology'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 Technology Fund upside and downside potential and time the market with a certain degree of confidence.
Downside Deviation | 1.15 | |||
Information Ratio | 0.1031 | |||
Maximum Drawdown | 6.34 | |||
Value At Risk | (2.01) | |||
Potential Upside | 2.39 |
Mfs Technology Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Mfs Technology's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Mfs Technology's standard deviation. In reality, there are many statistical measures that can use Mfs Technology historical prices to predict the future Mfs Technology's volatility.Risk Adjusted Performance | 0.1201 | |||
Jensen Alpha | 0.2685 | |||
Total Risk Alpha | (0.03) | |||
Sortino Ratio | 0.1168 | |||
Treynor Ratio | (3.31) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Mfs Technology'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 Technology Fund Backtested Returns
Mfs Technology appears to be very steady, given 3 months investment horizon. Mfs Technology Fund has Sharpe Ratio of 0.19, which conveys that the entity had a 0.19% return per unit of risk over the last 3 months. We have found twenty-seven technical indicators for Mfs Technology, which you can use to evaluate the volatility of the fund. Please exercise Mfs Technology's Downside Deviation of 1.15, risk adjusted performance of 0.1201, and Mean Deviation of 0.993 to check out if our risk estimates are consistent with your expectations. The fund secures a Beta (Market Risk) of -0.0782, which conveys not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Mfs Technology are expected to decrease at a much lower rate. During the bear market, Mfs Technology is likely to outperform the market.
Auto-correlation | 0.85 |
Very good predictability
Mfs Technology Fund has very good predictability. Overlapping area represents the amount of predictability between Mfs Technology time series from 3rd of April 2023 to 30th of September 2023 and 30th of September 2023 to 28th of March 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 Technology Fund price movement. The serial correlation of 0.85 indicates that around 85.0% of current Mfs Technology price fluctuation can be explain by its past prices.
Correlation Coefficient | 0.85 | |
Spearman Rank Test | 0.81 | |
Residual Average | 0.0 | |
Price Variance | 42.59 |
Mfs Technology Fund lagged returns against current returns
Autocorrelation, which is Mfs Technology 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 Technology's mutual fund expected returns. We can calculate the autocorrelation of Mfs Technology returns to help us make a trade decision. For example, suppose you find that Mfs Technology 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 Technology 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 Technology mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Mfs Technology 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 Technology mutual fund over time.
Current vs Lagged Prices |
Timeline |
Mfs Technology Lagged Returns
When evaluating Mfs Technology's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Mfs Technology mutual fund have on its future price. Mfs Technology 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 Technology autocorrelation shows the relationship between Mfs Technology mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Mfs Technology Fund.
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 Technology 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 Technology's short interest history, or implied volatility extrapolated from Mfs Technology options trading.
Building efficient market-beating portfolios requires time, education, and a lot of computing power!
The Portfolio Architect is an AI-driven system that provides multiple benefits to our users by leveraging cutting-edge machine learning algorithms, statistical analysis, and predictive modeling to automate the process of asset selection and portfolio construction, saving time and reducing human error for individual and institutional investors.
Try AI Portfolio ArchitectCheck out Mfs Technology Correlation, Mfs Technology Volatility and Mfs Technology Alpha and Beta module to complement your research on Mfs Technology. You can also try the Portfolio Center module to all portfolio management and optimization tools to improve performance of your portfolios.
Complementary Tools for Mfs Mutual Fund analysis
When running Mfs Technology's price analysis, check to measure Mfs Technology's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Mfs Technology is operating at the current time. Most of Mfs Technology's value examination focuses on studying past and present price action to predict the probability of Mfs Technology's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Mfs Technology's price. Additionally, you may evaluate how the addition of Mfs Technology to your portfolios can decrease your overall portfolio volatility.
Positions Ratings Determine portfolio positions ratings based on digital equity recommendations. Macroaxis instant position ratings are based on combination of fundamental analysis and risk-adjusted market performance | |
Stocks Directory Find actively traded stocks across global markets | |
ETFs Find actively traded Exchange Traded Funds (ETF) from around the world | |
Idea Analyzer Analyze all characteristics, volatility and risk-adjusted return of Macroaxis ideas | |
Idea Optimizer Use advanced portfolio builder with pre-computed micro ideas to build optimal portfolio | |
Portfolio Manager State of the art Portfolio Manager to monitor and improve performance of your invested capital | |
Efficient Frontier Plot and analyze your portfolio and positions against risk-return landscape of the market. | |
Correlation Analysis Reduce portfolio risk simply by holding instruments which are not perfectly correlated | |
Portfolio Holdings Check your current holdings and cash postion to detemine if your portfolio needs rebalancing | |
Share Portfolio Track or share privately all of your investments from the convenience of any device | |
Sign In To Macroaxis Sign in to explore Macroaxis' wealth optimization platform and fintech modules | |
Portfolio Optimization Compute new portfolio that will generate highest expected return given your specified tolerance for risk | |
Portfolio Dashboard Portfolio dashboard that provides centralized access to all your investments |
Mfs Technology 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.