Applied Finance Core Fund Price on November 6, 3124
| AFAZX Fund | USD 12.22 0.06 0.49% |
Below is the normalized historical share price chart for Applied Finance Core extending back to September 01, 2009. This chart has been adjusted for all splits and dividends and is plotted against all major global economic recessions. As of today, the current price of Applied Finance stands at 12.22, as last reported on the 15th of December 2024, with the highest price reaching 12.22 and the lowest price hitting 12.22 during the day.
If you're considering investing in Applied Mutual Fund, it is important to understand the factors that can impact its price. At this stage we consider Applied Mutual Fund to be very steady. Applied Finance Core secures Sharpe Ratio (or Efficiency) of 0.0651, which signifies that the fund had a 0.0651% return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for Applied Finance Core, which you can use to evaluate the volatility of the entity. Please confirm Applied Finance's Mean Deviation of 0.4996, downside deviation of 0.5075, and Risk Adjusted Performance of 0.0716 to double-check if the risk estimate we provide is consistent with the expected return of 0.043%.
Applied Mutual Fund price history is provided at the adjusted basis, taking into account all of the recent filings.
Applied |
Sharpe Ratio = 0.0651
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| Negative Returns | AFAZX |
Estimated Market Risk
| 0.66 actual daily | 5 95% of assets are more volatile |
Expected Return
| 0.04 actual daily | 0 Most of other assets have higher returns |
Risk-Adjusted Return
| 0.07 actual daily | 5 95% of assets perform better |
Based on monthly moving average Applied Finance is performing at about 5% of its full potential. If added to a well diversified portfolio the total return can be enhanced and market risk can be reduced. You can increase risk-adjusted return of Applied Finance by adding it to a well-diversified portfolio.
Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.
About Applied Finance Mutual Fund history
Applied Finance investors dedicate a lot of time and effort to gaining insight into how a market's past behavior relates to its future. Access to timely market data for Applied is vital when making an investment decision, and regardless of whether you use fundamental or technical analysis, your return on investment in Applied Finance Core will depend on recognizing future opportunities and eliminating past mistakes. Historical data analysis is the study of market behavior over a given time. Recorded market-related data such as price, volatility, and volume can be quantified and studied over a defined period. Through a detailed examination of a market's past behavior, traders and investors can gain perspective on the inner workings of that market. The information obtained throughout analyzing Applied Finance stock prices may prove useful in developing a viable investing in Applied Finance
The fund will under normal conditions invest at least 80 percent of its net assets in dividend-paying common and preferred stock of companies. It may also invest in small and mid-cap companies, convertible securities, preferred stocks, rights and warrants, and other investment companies including exchange-traded funds, .
Applied Finance Mutual Fund Technical Analysis
Applied Finance 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.
Price Boundaries
Applied Finance Period Price Range
Low | December 15, 2024
| High |
0.00 | 0.00 |
Applied Finance Core cannot be verified against its exchange. Please verify the symbol is currently traded on NMFQS Exchange. If you still believe the symbol you are trying to look up is valid, please let us know, and we will check it as soon as possible.
Applied Finance December 15, 2024 Market Strength
Market strength indicators help investors to evaluate how Applied Finance mutual fund reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Applied Finance shares will generate the highest return on investment. By undertsting and applying Applied Finance mutual fund market strength indicators, traders can identify Applied Finance Core entry and exit signals to maximize returns
Applied Finance Technical and Predictive Indicators
Predictive indicators are helping investors to find signals for Applied Finance's price direction in advance. Along with the technical and fundamental analysis of Applied Mutual Fund historical price patterns, it is also worthwhile for investors to track various predictive indicators of Applied to make sure they correctly time the market and exploit it's hidden potentials. Even though most predictive indicators are useful for the short-term horizon, it's virtually impossible to predict the unforeseen market. For traders with a short-term horizon, predictive indicators add value when properly applied. Long-term investors, however, may find many predictive indicators less useful.
| Risk Adjusted Performance | 0.0716 | |||
| Jensen Alpha | (0.02) | |||
| Total Risk Alpha | (0.03) | |||
| Sortino Ratio | (0.07) | |||
| Treynor Ratio | 0.0709 |
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Other Information on Investing in Applied Mutual Fund
Applied Finance financial ratios help investors to determine whether Applied 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 Applied with respect to the benefits of owning Applied Finance security.
| Portfolio Rebalancing Analyze risk-adjusted returns against different time horizons to find asset-allocation targets | |
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