Applied Finance Core Fund Market Value
| AFALX Fund | USD 12.02 0.05 0.41% |
| 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.
| 11/19/2023 |
| 12/13/2024 |
If you would invest 0.00 in Applied Finance on November 19, 2023 and sell it all today you would earn a total of 0.00 from holding Applied Finance Core or generate 0.0% return on investment in Applied Finance over 390 days. Applied Finance is related to or competes with Applied Finance, Applied Finance, Applied Finance, Applied Finance, and Applied Finance. The fund will under normal conditions invest at least 80 percent of its net assets in dividend-paying common and preferr... 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 Core upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.4939 | |||
| Information Ratio | (0.06) | |||
| Maximum Drawdown | 3.67 | |||
| Value At Risk | (0.83) | |||
| Potential Upside | 1.15 |
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 | 0.0793 | |||
| Jensen Alpha | (0.02) | |||
| Total Risk Alpha | (0.03) | |||
| Sortino Ratio | (0.08) | |||
| Treynor Ratio | 0.0792 |
Applied Finance Core Backtested Returns
At this stage we consider Applied Mutual Fund to be very steady. Applied Finance Core secures Sharpe Ratio (or Efficiency) of 0.0655, which signifies that the fund had a 0.0655% 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 0.4964, risk adjusted performance of 0.0793, and Downside Deviation of 0.4939 to double-check if the risk estimate we provide is consistent with the expected return of 0.0429%. The fund shows a Beta (market volatility) of 0.8, 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 | 0.81 |
Very good predictability
Applied Finance Core has very good predictability. Overlapping area represents the amount of predictability between Applied Finance time series from 19th of November 2023 to 1st of June 2024 and 1st of June 2024 to 13th of December 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 Applied Finance Core price movement. The serial correlation of 0.81 indicates that around 81.0% of current Applied Finance price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.81 | |
| Spearman Rank Test | 0.78 | |
| Residual Average | 0.0 | |
| Price Variance | 0.23 |
Applied Finance Core 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 Core.
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.
| Volatility Analysis Get historical volatility and risk analysis based on latest market data | |
| USA ETFs Find actively traded Exchange Traded Funds (ETF) in USA | |
| Fundamental Analysis View fundamental data based on most recent published financial statements | |
| Portfolio Backtesting Avoid under-diversification and over-optimization by backtesting your portfolios |