Applied Finance Explorer Fund Market Value
| AFDVX Fund | USD 22.39 0.04 0.18% |
| Symbol | Applied |
Applied Finance '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 Applied Finance'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 Applied Finance.
| 01/17/2025 |
| 02/16/2025 |
If you would invest 0.00 in Applied Finance on January 17, 2025 and sell it all today you would earn a total of 0.00 from holding Applied Finance Explorer or generate 0.0% return on investment in Applied Finance over 30 days. Applied Finance is related to or competes with Thrivent Small, Applied Finance, Parnassus Endeavor, Queens Road, and Oberweis Small-cap. The fund invests primarily in the equity securities of small and middle capitalization companies More
Applied Finance 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 Applied Finance'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 Applied Finance Explorer upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.11) | |||
| Maximum Drawdown | 5.36 | |||
| Value At Risk | (1.40) | |||
| Potential Upside | 1.44 |
Applied Finance Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Applied Finance's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Applied Finance's standard deviation. In reality, there are many statistical measures that can use Applied Finance historical prices to predict the future Applied Finance's volatility.| Risk Adjusted Performance | (0.07) | |||
| Jensen Alpha | (0.11) | |||
| Total Risk Alpha | (0.11) | |||
| Treynor Ratio | (0.15) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Applied Finance'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.
Applied Finance Explorer Backtested Returns
Applied Finance Explorer secures Sharpe Ratio (or Efficiency) of -0.0538, which signifies that the fund had a -0.0538 % return per unit of risk over the last 3 months. Applied Finance Explorer exposes twenty-two different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm Applied Finance's Risk Adjusted Performance of (0.07), standard deviation of 0.9818, and Mean Deviation of 0.7277 to double-check the risk estimate we provide. The fund shows a Beta (market volatility) of 0.73, which signifies possible diversification benefits within a given portfolio. As returns on the market increase, Applied Finance's returns are expected to increase less than the market. However, during the bear market, the loss of holding Applied Finance is expected to be smaller as well.
Auto-correlation | 0.47 |
Average predictability
Applied Finance Explorer has average predictability. Overlapping area represents the amount of predictability between Applied Finance time series from 17th of January 2025 to 1st of February 2025 and 1st of February 2025 to 16th of February 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 Applied Finance Explorer price movement. The serial correlation of 0.47 indicates that about 47.0% of current Applied Finance price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.47 | |
| Spearman Rank Test | 0.62 | |
| Residual Average | 0.0 | |
| Price Variance | 0.02 |
Applied Finance Explorer lagged returns against current returns
Autocorrelation, which is Applied Finance 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 Applied Finance's mutual fund expected returns. We can calculate the autocorrelation of Applied Finance returns to help us make a trade decision. For example, suppose you find that Applied Finance 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 |
Applied Finance 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 Applied Finance mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Applied Finance mutual fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Applied Finance mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Applied Finance Lagged Returns
When evaluating Applied Finance's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Applied Finance mutual fund have on its future price. Applied Finance 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, Applied Finance autocorrelation shows the relationship between Applied Finance mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Applied Finance Explorer.
Regressed Prices |
| Timeline |
Also Currently Popular
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.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.
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