Applied Finance Explorer Fund Market Value

AFDZX Fund  USD 24.48  0.06  0.24%   
Applied Finance's market value is the price at which a share of Applied Finance trades on a public exchange. It measures the collective expectations of Applied Finance Explorer investors about its performance. Applied Finance is trading at 24.48 as of the 29th of November 2024; that is 0.24 percent down since the beginning of the trading day. The fund's open price was 24.54.
With this module, you can estimate the performance of a buy and hold strategy of Applied Finance Explorer and determine expected loss or profit from investing in Applied Finance over a given investment horizon. Check out Applied Finance Correlation, Applied Finance Volatility and Applied Finance Alpha and Beta module to complement your research on Applied Finance.
Symbol

Please note, there is a significant difference between Applied Finance's value and its price as these two are different measures arrived at by different means. Investors typically determine if Applied Finance is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Applied Finance's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.

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.
0.00
06/08/2023
No Change 0.00  0.0 
In 1 year 5 months and 25 days
11/29/2024
0.00
If you would invest  0.00  in Applied Finance on June 8, 2023 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 540 days. Applied Finance is related to or competes with Firsthand Alternative, Short Oil, Fidelity Advisor, and Jennison Natural. 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.

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.
Hype
Prediction
LowEstimatedHigh
23.3424.4825.62
Details
Intrinsic
Valuation
LowRealHigh
23.0024.1425.28
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Applied Finance. Your research has to be compared to or analyzed against Applied Finance's peers to derive any actionable benefits. When done correctly, Applied Finance's competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy toward taking a position in Applied Finance Explorer.

Applied Finance Explorer Backtested Returns

At this stage we consider Applied Mutual Fund to be very steady. Applied Finance Explorer secures Sharpe Ratio (or Efficiency) of 0.14, which signifies that the fund had a 0.14% return per unit of risk over the last 3 months. We have found twenty-seven technical indicators for Applied Finance Explorer, which you can use to evaluate the volatility of the entity. Please confirm Applied Finance's Risk Adjusted Performance of 0.0825, mean deviation of 0.8445, and Downside Deviation of 0.9877 to double-check if the risk estimate we provide is consistent with the expected return of 0.16%. The fund shows a Beta (market volatility) of 1.34, which signifies a somewhat significant risk relative to the market. As the market goes up, the company is expected to outperform it. However, if the market returns are negative, Applied Finance will likely underperform.

Auto-correlation

    
  0.65  

Good predictability

Applied Finance Explorer has good predictability. Overlapping area represents the amount of predictability between Applied Finance time series from 8th of June 2023 to 4th of March 2024 and 4th of March 2024 to 29th of November 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 Explorer price movement. The serial correlation of 0.65 indicates that roughly 65.0% of current Applied Finance price fluctuation can be explain by its past prices.
Correlation Coefficient0.65
Spearman Rank Test0.54
Residual Average0.0
Price Variance1.32

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  

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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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