Access Flex High Fund Market Value
| FYASX Fund | USD 29.30 0.19 0.64% |
| 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.
| 04/27/2022 |
| 04/16/2024 |
If you would invest 0.00 in Access Flex on April 27, 2022 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 720 days. Access Flex is related to or competes with Short Real, Short Real, Ultrashort Mid-cap, Ultrashort Mid, Technology Ultrasector, Technology Ultrasector, and Large-cap Growth. 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 | 0.5944 | |||
| Information Ratio | (0.16) | |||
| Maximum Drawdown | 4.34 | |||
| Value At Risk | (0.60) | |||
| Potential Upside | 0.4362 |
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) | |||
| Jensen Alpha | (0.04) | |||
| Total Risk Alpha | (0.06) | |||
| Sortino Ratio | (0.13) | |||
| Treynor Ratio | (0.02) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Access Flex'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.
Access Flex High Backtested Returns
Access Flex High secures Sharpe Ratio (or Efficiency) of -0.0128, which signifies that the fund had a -0.0128% return per unit of standard deviation over the last 3 months. Access Flex High exposes twenty-seven different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm Access Flex's mean deviation of 0.2838, and Risk Adjusted Performance of (0) to double-check the risk estimate we provide. The fund shows a Beta (market volatility) of 0.44, which signifies possible diversification benefits within a given portfolio. As returns on the market increase, Access Flex's returns are expected to increase less than the market. However, during the bear market, the loss of holding Access Flex is expected to be smaller as well.
Auto-correlation | 0.76 |
Good predictability
Access Flex High has good predictability. Overlapping area represents the amount of predictability between Access Flex time series from 27th of April 2022 to 22nd of April 2023 and 22nd of April 2023 to 16th 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 Access Flex High price movement. The serial correlation of 0.76 indicates that around 76.0% of current Access Flex price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.76 | |
| Spearman Rank Test | 0.6 | |
| Residual Average | 0.0 | |
| Price Variance | 0.89 |
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 |
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 Access Flex 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, Access Flex's short interest history, or implied volatility extrapolated from Access Flex 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 Access Flex Correlation, Access Flex Volatility and Access Flex Alpha and Beta module to complement your research on Access Flex. You can also try the My Watchlist Analysis module to analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like.
Access Flex 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.