Baron Emerging Markets Fund Manager Performance Evaluation
| BEXIX Fund | USD 19.37 -0.58 -2.91% |
The fund retains a Beta (Market Risk) of 0.14, which indicates very low measured sensitivity to broad market movements. Baron Emerging moves in the same direction as the market but with less intensity, offering a degree of cushion during selloffs.
Risk-Adjusted Performance
Mild
Weak | Strong |
Baron Emerging Markets currently ranks below 3% of comparable funds and fund portfolios when recent risk-adjusted returns are measured across a 90-day horizon. The current category mapping is Diversified Emerging Mkts. Despite somewhat strong forward indicators, Baron Emerging is not utilizing all of its potential. The current price disturbance may contribute to short-term losses for investors. Learn More
| Expense Ratio Date | 30th of April 2025 | |
| Expense Ratio | 1.1100 |
Baron |
Relative Risk vs. Return Landscape
If you had invested $ 1,886 in Baron Emerging Markets on December 22, 2025 and sold it today you would have earned a total of $ 51.00 from holding Baron Emerging Markets or generated 2.7% return on investment over 90 days. Baron Emerging Markets is currently producing a 0.052% return and carries 1.3408% volatility of returns over 90 trading days. Put another way, 12% of traded mutual funds are less volatile than Baron, and 99% of all traded equity instruments are likely to generate higher returns over the next 90 trading days. Expected Return |
| Risk |
Target Price Odds to finish over Current Price
For Baron Mutual Fund, the tendency of price to converge toward a long-term average provides a useful forecasting baseline. Investors have relied on this tendency for decades, though persistent mispricings in some instruments suggest additional risk factors. Certain funds show persistent deviations from fair value, typically explained by the risk investors bear. Applying mean reversion analysis to Baron Mutual Fund helps identify potential entry points when prices are extended.
| Current Price | Horizon | Target Price | Odds moving above the current price in 90 days |
| 19.37 | 90 days | 19.37 | about 89.63 |
Based on standard probability analysis, the odds of Baron Emerging moving above the current price in 90 days from now are about 89.63 . Historical price behavior and variance analysis form the basis of this probability estimate. This probability is most useful when combined with fundamental analysis and current market context. This data helps frame realistic expectations for this fund's price trajectory. (The chart above shows the probability distribution of Baron Mutual Fund prices over the next 90 days). The tails of the distribution show the probability of extreme price movements in Baron Mutual Fund over 90 days. The probability density function is a practical tool for framing expectations about Baron Mutual Fund. Use the probability data to support structured thinking about potential outcomes for Baron Mutual Fund.
Baron Emerging Price Density |
| Price |
Predictive Modules for Baron Emerging
A variety of analytical techniques are available for forecasting Baron Emerging Markets and the broader fund market. From technical pattern analysis to statistical models, each method contributes a different perspective on Baron Emerging Markets. A systematic comparison of model outputs provides context to form a more balanced perspective on Baron Emerging Markets. Refining forecasting methods over time can incrementally improve the quality of decisions made about Baron Emerging Markets.The mean reversion principle applied to Baron Emerging's suggests that neither prolonged outperformance nor underperformance is permanent. Identifying the root cause of Baron Emerging's price dislocation is essential before acting on a mean reversion signal. The mean reversion tendency in Baron Emerging's price is a well-documented phenomenon in academic research. In many cases, Baron Emerging's price extremes present statistical patterns that have recurred historically.
Primary Risk Indicators
The past 10-20 years have brought considerable volatility to the mutual fund market, with Baron Emerging experiencing notable price swings. Baron Emerging has reflected this volatile environment with periods of significant price swings. Investors in Baron Emerging Markets can mitigate this risk by tracking shifts in Baron Emerging's fundamental risk indicators. This risk data equips investors with the information needed to adjust Baron Emerging Markets exposure proactively.α | Alpha over Dow Jones | 0.06 | |
β | Beta against Dow Jones | 0.14 | |
σ | Overall volatility | 0.69 | |
Ir | Information ratio | 0.10 |
Investor Alerts and Insights
Alerts and suggestions for Baron Emerging give investors a structured way to monitor the fund for material events. Baron Emerging Markets alerts cover shifts in fundamentals, technical conditions, and significant market-moving events. Alert frequency for Baron Emerging adjusts dynamically based on market volatility and event activity. Regularly reviewing Baron Emerging Markets alerts keeps investors aligned with evolving market conditions.| The fund holds about 6.16% of its assets under management (AUM) in cash |
Baron Emerging Fundamentals Growth
Baron Mutual Fund performance is fundamentally tied to Baron Emerging's financial health and growth outlook. Investors track revenue and earnings growth, margin stability, and balance sheet health for Baron Mutual Fund. The market prices Baron Mutual Fund according to Baron Emerging's ability to generate revenue and manage debt effectively. Investors evaluating Baron Mutual Fund should focus on Baron Emerging's earnings quality and revenue momentum.
| Price To Earning | 15.77 X | |||
| Price To Book | 2.12 X | |||
| Price To Sales | 1.76 X | |||
| Total Asset | 3.63 B | |||
Performance Metrics & Calculation Methodology
Baron Emerging performance is typically evaluated through NAV-based returns relative to category peers and stated objectives. Certain defensive traits may reduce sensitivity to broader macroeconomic fluctuations.
Inputs for Baron Emerging Markets come from fund disclosures and market reference feeds and are mapped into a consistent schema for analysis. Some fields can appear with publication lag. Return and risk statistics are calculated from historical price series.