Applied Finance Explorer Fund Manager Performance Evaluation

AFDVX Fund  USD 23.50  0.22  0.95%   
The fund holds a Beta (Market Sensitivity) of 1.0, which attests to generally lower market sensitivity than the broad market. With a beta near 1, Applied Finance is expected to mirror market movements with minimal deviation in either direction.
Risk-Adjusted Performance
Weak
 
Weak
 
Strong
Applied Finance Explorer has delivered negative risk-adjusted returns across the last 90 days, suggesting that volatility was not compensated by return. Current market capitalization is about 23.0. Despite somewhat strong basic indicators, Applied Finance is not utilizing all of its potential. The current price disturbance may contribute to short-term losses for investors. Learn More
Expense Ratio Date31st of August 2025
Expense Ratio1.0800
  

Relative Risk vs. Return Landscape

If you had invested $ 2,352 in Applied Finance Explorer on December 25, 2025 and sold it today you would have lost $ 2.00 from holding Applied Finance Explorer or given up 0.09% of portfolio value over 90 days. Applied Finance Explorer is currently producing a 0.0034% return and carries 0.9923% volatility of returns over 90 trading days. Put another way, 8% of traded mutual funds are less volatile than Applied, and 99% of all traded equity instruments are likely to generate higher returns over the next 90 trading days.
  Expected Return   
       Risk  
This relative risk-return summary reviews how the instrument behaves against its benchmark. It is most useful when expected return is read together with volatility rather than in isolation. Assuming a 90-day horizon Applied Finance is expected to generate 1.17 times more return on investment than the market. However, the fund is 1.17 times more volatile than its market benchmark. It trades about 0.0 of its potential returns per unit of risk. The Dow Jones Industrial is currently generating roughly -0.09 per unit of risk.

Historical Prices of Applied Finance Explorer

Below is the normalized historical share price chart for Applied Finance Explorer extending back to June 30, 2015. 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 23.50, as last reported on the 25th of March, with the highest price reaching 23.50 and the lowest price hitting 23.50 during the day.
Macro event markers
 
Yuan Drop
 
Covid
 
Interest Hikes

Target Price Odds to finish over Current Price

Price convergence toward a historical mean is a well-documented pattern for funds like Applied Mutual Fund. Although this tendency is a useful forecasting input, some instruments remain persistently mispriced before market correction.
Current PriceHorizonTarget PriceOdds moving above the current price in 90 days
23.50 90 days 23.50
about 75.67
Our distribution model estimates the likelihood of Applied Finance moving above the current price in 90 days from now at about 75.67 . Past return patterns over this horizon reflect a distribution that has favored above-current-price scenarios. (This Applied Finance Explorer distribution emphasizes the price range most consistent with recent behavior in Applied Mutual Fund over a 90-day period).
Assuming a 90-day horizon Applied Finance has a beta of 1.0. This suggests Applied Finance Explorer market returns are sensitive to returns on the market. As the market goes up or down, Applied Finance is expected to follow. Additionally, Applied Finance Explorer has an alpha of 0.0589, implying that it can generate a 0.0589 percent excess return over Dow Jones Industrial after adjusting for the inherent market risk (beta).
   Applied Finance Price Density   
       Price  

Predictive Modules for Applied Finance

Investors use a wide range of techniques to forecast Applied Finance Explorer within the fund market. Combining results from different methods frames the confidence level investors can assign to Applied Finance Explorer predictions.
Statistical evidence for mean reversion in Applied Finance's can be observed through its tendency to revert after extreme valuations. Investors who believe in mean reversion view Applied Finance's price extremes as temporary dislocations that may self-correct.
Hype
Prediction
LowEstimatedHigh
22.5123.5024.49
Details
Intrinsic
Valuation
LowRealHigh
22.5623.5524.54
Details
Assessing Applied Finance's competitive position relative to sector peers reveals where the company stands in its industry. Applied Finance's current valuation may reflect market-wide multiple expansion rather than genuine competitive edge.

Primary Risk Indicators

Significant market corrections and rallies over the last two decades have made the mutual fund market challenging for Applied Finance investors. Dramatic market moves have periodically reshaped the risk landscape for holders of Applied Finance Explorer.
α
Alpha over Dow Jones
0.06
β
Beta against Dow Jones1.00
σ
Overall volatility
0.46
Ir
Information ratio 0.06

Investor Alerts and Insights

Tracking Applied Finance through automated alerts focuses attention on the most impactful fund developments. Reviewing Applied Finance Explorer notifications is an efficient way to stay current on technical patterns and fundamental changes.
The fund holds about 7.33% of its assets under management (AUM) in cash

Applied Finance Fundamentals Growth

Market participants price Applied Mutual Fund based on their assessment of Applied Finance's financial trajectory. Revenue and earnings growth, profitability metrics, and debt levels form the core fundamentals driving Applied Mutual Fund.
Total Asset212.98 M

Performance Metrics & Calculation Methodology

Return quality for Applied Finance measures how stable NAV growth has been across rolling measurement windows. High return quality implies that outcomes are not dominated by a small number of extreme observations.

Applied Finance Explorer metrics are compiled from fund disclosures and market reference feeds and normalized before display. Not all fields update in real time. Return and risk statistics are calculated from historical price series.

This content is curated and reviewed by:

Ellen Johnson - Member of Macroaxis Editorial Board
Last reviewed on March 6th, 2026