Free Market Equity Fund Market Value
| FMUEX Fund | USD 22.28 0.14 0.63% |
| Symbol | Free |
Free Market '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 Free Market'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 Free Market.
| 03/23/2024 |
| 04/22/2024 |
If you would invest 0.00 in Free Market on March 23, 2024 and sell it all today you would earn a total of 0.00 from holding Free Market Equity or generate 0.0% return on investment in Free Market over 30 days. Free Market is related to or competes with Free Market, Free Market, Vanguard Precious, Vanguard Equity, Recurrent Mlp, Vanguard Growth, and Nuveen California. The fund normally invests at least 80 percent of its net assets, including any borrowings for investment purposes, in sh... More
Free Market 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 Free Market'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 Free Market Equity upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.02 | |||
| Information Ratio | (0.02) | |||
| Maximum Drawdown | 4.95 | |||
| Value At Risk | (1.61) | |||
| Potential Upside | 1.49 |
Free Market Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Free Market's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Free Market's standard deviation. In reality, there are many statistical measures that can use Free Market historical prices to predict the future Free Market's volatility.| Risk Adjusted Performance | 0.0512 | |||
| Jensen Alpha | (0.04) | |||
| Total Risk Alpha | (0.05) | |||
| Sortino Ratio | (0.02) | |||
| Treynor Ratio | 0.0475 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Free Market'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.
Free Market Equity Backtested Returns
We consider Free Market very steady. Free Market Equity secures Sharpe Ratio (or Efficiency) of 0.0351, which denotes the fund had a 0.0351% return per unit of risk over the last 3 months. We have found twenty-seven technical indicators for Free Market Equity, which you can use to evaluate the volatility of the entity. Please confirm Free Market's Mean Deviation of 0.6568, coefficient of variation of 1274.09, and Downside Deviation of 1.02 to check if the risk estimate we provide is consistent with the expected return of 0.0303%. The fund shows a Beta (market volatility) of 1.26, which means 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, Free Market will likely underperform.
Auto-correlation | 0.10 |
Insignificant predictability
Free Market Equity has insignificant predictability. Overlapping area represents the amount of predictability between Free Market time series from 23rd of March 2024 to 7th of April 2024 and 7th of April 2024 to 22nd 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 Free Market Equity price movement. The serial correlation of 0.1 indicates that less than 10.0% of current Free Market price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.1 | |
| Spearman Rank Test | -0.15 | |
| Residual Average | 0.0 | |
| Price Variance | 0.19 |
Free Market Equity lagged returns against current returns
Autocorrelation, which is Free Market 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 Free Market's mutual fund expected returns. We can calculate the autocorrelation of Free Market returns to help us make a trade decision. For example, suppose you find that Free Market 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 |
Free Market 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 Free Market mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Free Market mutual fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Free Market mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Free Market Lagged Returns
When evaluating Free Market's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Free Market mutual fund have on its future price. Free Market 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, Free Market autocorrelation shows the relationship between Free Market mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Free Market Equity.
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 Free Market 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, Free Market's short interest history, or implied volatility extrapolated from Free Market options trading.
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Try AI Portfolio ArchitectCheck out Free Market Correlation, Free Market Volatility and Free Market Alpha and Beta module to complement your research on Free Market. Note that the Free Market Equity information on this page should be used as a complementary analysis to other Free Market'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 Volatility Analysis module to get historical volatility and risk analysis based on latest market data.
Free Market 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.