Applied Finance Explorer Fund Quote
| AFDVX Fund | USD 25.81 0.11 0.43% |
Performance 0High 7 · Moderate | NAV Risk Level HighLow 26 · Moderate |
Price action for Applied Finance shows a level of $25.81, indicating 0.43% up in today's market action. Applied Finance holds modeled distress odds of 26%, positioning it within a moderate probability classification. Over the prior 90 trading days, Applied Finance has produced modest risk-adjusted performance, in line with its moderate performance profile. The performance scores are based on the time frame from February 10, 2026 to May 11, 2026. Learn more.
Related SymbolsApplied Finance Explorer [AFDVX] is traded in USA. The fund is listed under the Small Value category and is part of the Applied Finance family. This fund presently has accumulated $989.14 million in assets under management (AUM) with no minimum investment requirements. Applied Finance Explorer is currently producing a year-to-date (YTD) return of 12.02%, while the total return for the last 3 years is 18.42%. Applied Finance is an operator in the applied finance segment where revenue is driven by core operating activity and end-market demand. AFDVX has a beta of 0.9531. With a beta near 1, Applied Finance tends to mirror market movements with minimal deviation in either direction.
Instrument Allocation
Mutual Fund Notable Updates
| Legal Name | Applied Finance Explorer Fund Investor Shares |
| Fund Concentration | Applied Finance Funds, Large Funds, Small Value Funds, Small Value, Applied Finance, Large, Small Value Funds, (View all Sectors) |
Applied Finance Explorer Fund Investor Shares NAV Analysis
Below Model Estimate
Today
This estimate for Applied Finance Explorer is driven by the aggregate performance of its underlying assets across a 3 months time horizon. Market pricing can deviate due to fund flows, liquidity conditions, or benchmark tracking differences.
Sector Allocation
Sector diversification remains one of the most effective tools for portfolio risk management. As sector coverage widens, the expected risk and return of holding Applied Finance Mutual Fund both tend to decrease.
Using funds like Applied Finance Explorer Mutual Fund is a practical way to implement sector tilts. Sector fund strategies offer a practical framework for managing sector-level allocation decisions.
Common Risk Profiles
| Mean Deviation | 0.798 | |||
| Semi Deviation | 0.8749 | |||
| Standard Deviation | 1.03 | |||
| Variance | 1.07 |
Applied Finance Explorer Against Markets
| AFDVX | 0.43 | ||||
| NYA | 0.30 |
| Competition | Compare Correlations |
Investor Insights and Alerts
Monitoring Applied Finance from the family catches shifts in fund behavior before they affect returns. These alerts help shareholders ask whether the fund's current risk profile still matches their original investment goals. Reviewing alerts in context separates expected NAV behavior from genuinely unusual conditions in the fund. For Applied Finance, alerts merit cross-referencing with the shareholder's original investment thesis and risk tolerance.
| Latest headline from news.google.com: RBI exempts small non-deposit taking NBFCs from registration requirement - ETLegal World.com |
Top Applied Finance Explorer Mutual Fund Constituents
| WD | Walker Dunlop | Stock | |
| NTGR | NETGEAR | Stock | |
| VG | Venture Global | Stock | |
| MTH | Meritage | Stock | |
| COLL | Collegium Pharmaceutical | Stock | |
| SYNA | Synaptics Incorporated | Stock | |
| THC | Tenet Healthcare | Stock | |
| VAC | Marriot Vacations Worldwide | Stock | |
| XPER | Xperi Corp | Stock | |
| KBH | KB Home | Stock | |
| CRK | Comstock Resources | Stock | |
| UTHR | United Therapeutics | Stock | |
| BLDR | Builders FirstSource | Stock | |
| PBH | Prestige Brand Holdings | Stock | |
| SM | SM Energy Co | Stock | |
| MEDP | Medpace Holdings | Stock | |
| AR | Antero Resources Corp | Stock | |
| HRI | Herc Holdings | Stock | |
| MD | Mednax Inc | Stock | |
| SANM | Sanmina | Stock | |
| NSIT | Insight Enterprises | Stock | |
| DAR | Darling Ingredients | Stock |
Predictive Daily Indicators
Signal confirmation across multiple metrics reduces the chance of acting on noise rather than genuine shifts in fund behavior. Balance of power metrics reveal the intraday tug-of-war between accumulation and distribution across the fund's holdings. Short-horizon signals work best when the broader market has a clear directional trend. In range-bound conditions, noise increases. Pairing daily signals with Applied Finance's historical volatility helps calibrate what constitutes a normal daily range for the fund.
| Rate Of Daily Change | 1.0 | |||
| Day Median Price | 25.81 | |||
| Day Typical Price | 25.81 | |||
| Price Action Indicator | 0.055 | |||
| Period Momentum Indicator | 0.11 | |||
| Relative Strength Index | 63.69 |
Forecast Models
Statistical models for Applied Finance from the family estimate probable NAV paths based on the fund's historical behavior. Applied Finance returned 27.2% over one year. Comparing multiple forecast methods helps shareholders gauge how sensitive the estimate is to methodology. Applied Finance returned 9.5% over five years. Tracking error between forecast and actual NAV helps calibrate model reliability for the fund. Within Small Value, Applied Finance's forecast section is most informative when combined with volatility and risk-adjusted return data from the prospectus.Mutual Fund Overview, Methodology & Data Sources
Downside history frames risk tolerance and stress-period behavior. Downside movements have historically remained relatively contained. The five-year return stands at 9.0%.
Methodology
Unless otherwise specified, data for Applied Finance Explorer is derived from fund disclosures (prospectus language, holdings reports, and periodic statements where available). Asset-level metrics are computed daily by Macroaxis LLC and refreshed regularly based on instrument type. Applied Finance Explorer market data and reported NAV may reflect delayed updates. Data may be delayed depending on reporting sources and market conventions. All analytics presented are generated using Macroaxis quantitative models that incorporate financial statement analysis, market data, and risk metrics to ensure consistency and comparability. Assumptions: We primarily rely on public fund disclosures, holdings reports, and market data feeds, including disclosures published by U.S. Securities and Exchange Commission (SEC) via EDGAR. Data is normalized for analytical consistency across reporting formats. All analytics are generated using standardized, rules-based models designed to promote consistency and comparability across instruments. Model assumptions, reference parameters, and selected computational inputs are available in the Model Inputs section. If you have questions about our data sources or methodology, please contact Macroaxis Support.
Research Sources
Applied Finance Explorer may have reference inputs that incorporate holdings disclosures, category classification, and NAV-derived statistics where available. Updates may occur throughout the day.
Editorial review and methodology oversight provided by: Ellen Johnson, Member of Macroaxis Editorial Board