Access Flex High Fund Market Value
| FYAIX Fund | USD 30.66 0.05 0.16% |
| Symbol | Access |
Access Flex '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 Access Flex'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 Access Flex.
| 04/25/2025 |
| 07/24/2025 |
If you would invest 0.00 in Access Flex on April 25, 2025 and sell it all today you would earn a total of 0.00 from holding Access Flex High or generate 0.0% return on investment in Access Flex over 90 days. Access Flex is related to or competes with Goehring Rozencwajg, Icon Natural, Ivy Natural, Calvert Global, Firsthand Alternative, and Energy Basic. The fund invests primarily in financial instruments that the fund Advisors believes, in combination, should provide inve... More
Access Flex 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 Access Flex'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 Access Flex High upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.2797 | |||
| Information Ratio | (0.49) | |||
| Maximum Drawdown | 1.64 | |||
| Value At Risk | (0.37) | |||
| Potential Upside | 0.5688 |
Access Flex Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Access Flex's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Access Flex's standard deviation. In reality, there are many statistical measures that can use Access Flex historical prices to predict the future Access Flex's volatility.| Risk Adjusted Performance | 0.2114 | |||
| Jensen Alpha | 0.0776 | |||
| Total Risk Alpha | (0) | |||
| Sortino Ratio | (0.50) | |||
| Treynor Ratio | (1.10) |
Access Flex High Backtested Returns
At this stage we consider Access Mutual Fund to be very steady. Access Flex High secures Sharpe Ratio (or Efficiency) of 0.21, which signifies that the fund had a 0.21 % return per unit of standard deviation over the last 3 months. We have found twenty-seven technical indicators for Access Flex High, which you can use to evaluate the volatility of the entity. Please confirm Access Flex's mean deviation of 0.2043, and Risk Adjusted Performance of 0.2114 to double-check if the risk estimate we provide is consistent with the expected return of 0.0514%. The fund shows a Beta (market volatility) of -0.0593, which signifies not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Access Flex are expected to decrease at a much lower rate. During the bear market, Access Flex is likely to outperform the market.
Auto-correlation | 0.85 |
Very good predictability
Access Flex High has very good predictability. Overlapping area represents the amount of predictability between Access Flex time series from 25th of April 2025 to 9th of June 2025 and 9th of June 2025 to 24th of July 2025. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Access Flex High price movement. The serial correlation of 0.85 indicates that around 85.0% of current Access Flex price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.85 | |
| Spearman Rank Test | 0.77 | |
| Residual Average | 0.0 | |
| Price Variance | 0.03 |
Access Flex High lagged returns against current returns
Autocorrelation, which is Access Flex 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 Access Flex's mutual fund expected returns. We can calculate the autocorrelation of Access Flex returns to help us make a trade decision. For example, suppose you find that Access Flex 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 |
Access Flex 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 Access Flex mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Access Flex mutual fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Access Flex mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Access Flex Lagged Returns
When evaluating Access Flex's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Access Flex mutual fund have on its future price. Access Flex 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, Access Flex autocorrelation shows the relationship between Access Flex mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Access Flex High.
Regressed Prices |
| Timeline |
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Other Information on Investing in Access Mutual Fund
Access Flex financial ratios help investors to determine whether Access 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 Access with respect to the benefits of owning Access Flex security.
| Performance Analysis Check effects of mean-variance optimization against your current asset allocation | |
| Theme Ratings Determine theme ratings based on digital equity recommendations. Macroaxis theme ratings are based on combination of fundamental analysis and risk-adjusted market performance |