Small Pany Growth Fund Market Value
| MFLLX Fund | USD 11.35 0.19 1.70% |
| Symbol | Small |
Small Company '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 Small Company'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 Small Company.
| 02/24/2024 |
| 04/24/2024 |
If you would invest 0.00 in Small Company on February 24, 2024 and sell it all today you would earn a total of 0.00 from holding Small Pany Growth or generate 0.0% return on investment in Small Company over 60 days. Small Company is related to or competes with Fidelity Advisor, HUMANA, Morningstar Unconstrained, High Yield, Thrivent High, Via Renewables, and T Rowe. The fund will, under normal circumstances, seek to achieve its investment objective by investing primarily in establishe... More
Small Company 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 Small Company'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 Small Pany Growth upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 2.44 | |||
| Information Ratio | (0.04) | |||
| Maximum Drawdown | 10.15 | |||
| Value At Risk | (3.53) | |||
| Potential Upside | 3.58 |
Small Company Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Small Company's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Small Company's standard deviation. In reality, there are many statistical measures that can use Small Company historical prices to predict the future Small Company's volatility.| Risk Adjusted Performance | 0.0096 | |||
| Jensen Alpha | (0.18) | |||
| Total Risk Alpha | (0.30) | |||
| Sortino Ratio | (0.04) | |||
| Treynor Ratio | (0.0007) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Small Company'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.
Small Pany Growth Backtested Returns
We consider Small Company not too volatile. Small Pany Growth owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.0041, which indicates the fund had a 0.0041% return per unit of risk over the last 3 months. We have found twenty-seven technical indicators for Small Pany Growth, which you can use to evaluate the volatility of the fund. Please validate Small Company's Risk Adjusted Performance of 0.0096, semi deviation of 2.28, and Coefficient Of Variation of 25351.01 to confirm if the risk estimate we provide is consistent with the expected return of 0.0088%. The entity has a beta of 2.12, which indicates 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, Small Company will likely underperform.
Auto-correlation | -0.22 |
Weak reverse predictability
Small Pany Growth has weak reverse predictability. Overlapping area represents the amount of predictability between Small Company time series from 24th of February 2024 to 25th of March 2024 and 25th of March 2024 to 24th 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 Small Pany Growth price movement. The serial correlation of -0.22 indicates that over 22.0% of current Small Company price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.22 | |
| Spearman Rank Test | -0.22 | |
| Residual Average | 0.0 | |
| Price Variance | 0.37 |
Small Pany Growth lagged returns against current returns
Autocorrelation, which is Small Company 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 Small Company's mutual fund expected returns. We can calculate the autocorrelation of Small Company returns to help us make a trade decision. For example, suppose you find that Small Company 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 |
Small Company 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 Small Company mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Small Company mutual fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Small Company mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Small Company Lagged Returns
When evaluating Small Company's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Small Company mutual fund have on its future price. Small Company 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, Small Company autocorrelation shows the relationship between Small Company mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Small Pany Growth.
Regressed Prices |
| Timeline |
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 Small Company Correlation, Small Company Volatility and Small Company Alpha and Beta module to complement your research on Small Company. You can also try the Money Flow Index module to determine momentum by analyzing Money Flow Index and other technical indicators.
Small Company 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.