Ab High Income Fund Manager Performance Evaluation

ABTHX Fund  USD 10.16  -0.09  -0.88%   
The fund retains a Market Sensitivity (Beta) of 0.0631, which indicates very low measured sensitivity to broad market movements. As returns on the market increase, AB HIGH's returns are expected to increase less than the market. However, during a bear market, the loss from holding AB HIGH is expected to be smaller as well.
Risk-Adjusted Performance
Weak
 
Weak
 
Strong
During the last 90 trading days, Ab High Income produced negative risk-adjusted performance, which signals weak return efficiency for fund investors. The business is commonly classified in the High Yield Muni sector and the Large industry. Despite somewhat strong technical indicators, AB HIGH is not utilizing all of its potential. The current price disturbance may contribute to short-term losses for investors. Learn More
Expense Ratio Date30th of September 2025
Expense Ratio1.1200
  

Relative Risk vs. Return Landscape

If you had invested $ 1,018 in Ab High Income on December 22, 2025 and sold it today you would have lost $ 2.00 from holding Ab High Income or given up 0.2% of portfolio value over 90 days. Ab High Income is currently producing negative expected returns and carries 0.2375% volatility of returns over 90 trading days. Put another way, 2% of traded mutual funds are less volatile than ABTHX, and 99% of all traded equity instruments are likely to generate higher returns over the next 90 trading days.
  Expected Return   
       Risk  
This comparison focuses on expected return, realized volatility, and risk efficiency versus the market. It keeps the emphasis on benchmark context, not just standalone performance. Assuming a 90-day horizon AB HIGH is expected to generate 0.29 times more return on investment than the market. However, the fund is 3.44 times less risky than the market. It trades about -0.01 of its potential returns per unit of risk. The Dow Jones Industrial is currently generating roughly -0.11 per unit of risk.

Target Price Odds to finish over Current Price

The concept of mean reversion - where ABTHX Mutual Fund price gravitates toward an equilibrium value - is fundamental to market analysis. While this pattern holds broadly, certain funds can remain mispriced for extended periods before supply and demand forces bring them back in line.
Current PriceHorizonTarget PriceOdds moving above the current price in 90 days
10.16 90 days 10.16
roughly 97.0
Statistical modeling indicates that the probability of AB HIGH moving above the current price in 90 days from now is roughly 97.0 (This fund probability density function maps the likelihood of ABTHX Mutual Fund reaching different price levels over 90 days).
Assuming a 90-day horizon AB HIGH has a beta of 0.0631. This suggests as returns on the market go up, AB HIGH's average returns are expected to increase less than the benchmark. However, during a bear market, the loss from holding Ab High Income is expected to be smaller as well. Additionally, Ab High Income has a negative alpha, implying that the risk taken by holding this instrument is not justified. The fund is significantly underperforming the Dow Jones Industrial.
   AB HIGH Price Density   
       Price  

Predictive Modules for AB HIGH

The fund market offers a wide variety of forecasting techniques that range from fundamental analysis to machine learning models. For instruments like Ab High Income, no single approach dominates, but the practice of forecasting itself remains an essential element of the investment process. Comparing results across methods can improve accuracy, even in unpredictable markets.
Experienced investors tracking AB HIGH's watch for mean reversion setups: periods when price has deviated significantly from its long-run average, creating an asymmetric risk-reward profile for patient capital.
Hype
Prediction
LowEstimatedHigh
9.9210.1610.40
Details
Intrinsic
Valuation
LowRealHigh
9.9610.2010.44
Details
Naive
Forecast
LowNextHigh
9.9510.1910.43
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
10.1810.3410.51
Details
Context is everything in equity analysis. AB HIGH's growth rates, margins, and multiples must be compared to direct competitors to determine whether it represents genuine value or simply average sector performance.

Primary Risk Indicators

Volatility has been a defining feature of the mutual fund market in recent decades, and AB HIGH has reflected that pattern. Large corrections and rapid recoveries have created challenges for investors. Those holding Ab High Income should look out for changes in AB HIGH's volatility and market elasticity as part of a disciplined risk management approach.
α
Alpha over Dow Jones
-0.0067
β
Beta against Dow Jones0.06
σ
Overall volatility
0.08
Ir
Information ratio 0.36

Investor Alerts and Insights

For investors following AB HIGH, automated alerts provide early signals of meaningful shifts in fund dynamics. Checking Ab High Income notifications regularly is a straightforward way to stay on top of actionable developments.
Ab High Income generated a negative expected return over the last 90 days
The fund holds about 11.16% of its assets under management (AUM) in fixed income securities

AB HIGH Fundamentals Growth

The pricing of ABTHX Mutual Fund is heavily influenced by AB HIGH's fundamental performance. Investors monitor revenue growth, profit margins, cash flow generation, and debt management as key indicators of ABTHX Mutual Fund's long-term value trajectory.
Total Asset474.82 M

Performance Metrics & Calculation Methodology

AB HIGH performance is typically evaluated through NAV-based returns relative to category peers and stated objectives. Return persistence supports interpretability across rolling windows.

Reported values for Ab High Income are derived from fund disclosures and market reference feeds and then standardized by Macroaxis analytics. Refresh times depend on source availability. Return and risk statistics are calculated from historical price series.

This content is curated and reviewed by:

Raphi Shpitalnik - Junior Member of Macroaxis Editorial Board
Last reviewed on March 17th, 2026