Baird Aggregate Bond Fund Market Value
| BAGIX Fund | USD 10.05 0.03 0.30% |
| Symbol | Baird |
Baird Aggregate '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 Baird Aggregate'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 Baird Aggregate.
| 11/19/2025 |
| 02/17/2026 |
If you would invest 0.00 in Baird Aggregate on November 19, 2025 and sell it all today you would earn a total of 0.00 from holding Baird Aggregate Bond or generate 0.0% return on investment in Baird Aggregate over 90 days. Baird Aggregate is related to or competes with Baird Aggregate, Baird Core, Jpmorgan Core, Baird Core, Goldman Sachs, Mfs Value, and Mfs Value. The fund normally invests at least 80 percent of its net assets in the following types of U.S More
Baird Aggregate 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 Baird Aggregate'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 Baird Aggregate Bond upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.1846 | |||
| Information Ratio | (0.22) | |||
| Maximum Drawdown | 0.6076 | |||
| Value At Risk | (0.30) | |||
| Potential Upside | 0.3043 |
Baird Aggregate Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Baird Aggregate's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Baird Aggregate's standard deviation. In reality, there are many statistical measures that can use Baird Aggregate historical prices to predict the future Baird Aggregate's volatility.| Risk Adjusted Performance | 0.0943 | |||
| Jensen Alpha | 0.0173 | |||
| Total Risk Alpha | 0.0055 | |||
| Sortino Ratio | (0.22) | |||
| Treynor Ratio | 0.6279 |
Baird Aggregate February 17, 2026 Technical Indicators
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | 0.0943 | |||
| Market Risk Adjusted Performance | 0.6379 | |||
| Mean Deviation | 0.1518 | |||
| Downside Deviation | 0.1846 | |||
| Coefficient Of Variation | 628.35 | |||
| Standard Deviation | 0.1828 | |||
| Variance | 0.0334 | |||
| Information Ratio | (0.22) | |||
| Jensen Alpha | 0.0173 | |||
| Total Risk Alpha | 0.0055 | |||
| Sortino Ratio | (0.22) | |||
| Treynor Ratio | 0.6279 | |||
| Maximum Drawdown | 0.6076 | |||
| Value At Risk | (0.30) | |||
| Potential Upside | 0.3043 | |||
| Downside Variance | 0.0341 | |||
| Semi Variance | (0.01) | |||
| Expected Short fall | (0.20) | |||
| Skewness | 0.1103 | |||
| Kurtosis | (0.67) |
Baird Aggregate Bond Backtested Returns
At this stage we consider Baird Mutual Fund to be very steady. Baird Aggregate Bond secures Sharpe Ratio (or Efficiency) of 0.19, which signifies that the fund had a 0.19 % return per unit of risk over the last 3 months. We have found twenty-six technical indicators for Baird Aggregate Bond, which you can use to evaluate the volatility of the entity. Please confirm Baird Aggregate's Risk Adjusted Performance of 0.0943, coefficient of variation of 628.35, and Mean Deviation of 0.1518 to double-check if the risk estimate we provide is consistent with the expected return of 0.0337%. The fund shows a Beta (market volatility) of 0.0304, which signifies not very significant fluctuations relative to the market. As returns on the market increase, Baird Aggregate's returns are expected to increase less than the market. However, during the bear market, the loss of holding Baird Aggregate is expected to be smaller as well.
Auto-correlation | 0.25 |
Poor predictability
Baird Aggregate Bond has poor predictability. Overlapping area represents the amount of predictability between Baird Aggregate time series from 19th of November 2025 to 3rd of January 2026 and 3rd of January 2026 to 17th of February 2026. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Baird Aggregate Bond price movement. The serial correlation of 0.25 indicates that over 25.0% of current Baird Aggregate price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.25 | |
| Spearman Rank Test | 0.03 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Also Currently Popular
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 Baird Mutual Fund
Baird Aggregate financial ratios help investors to determine whether Baird 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 Baird with respect to the benefits of owning Baird Aggregate security.
| Portfolio Optimization Compute new portfolio that will generate highest expected return given your specified tolerance for risk | |
| Alpha Finder Use alpha and beta coefficients to find investment opportunities after accounting for the risk | |
| Financial Widgets Easily integrated Macroaxis content with over 30 different plug-and-play financial widgets | |
| Portfolio Suggestion Get suggestions outside of your existing asset allocation including your own model portfolios |