Blackrock Short Term Inflat Protected Fund Market Value
| BIIPX Fund | USD 9.72 0.01 0.10% |
| Symbol | Blackrock |
Blackrock Short '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 Blackrock Short'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 Blackrock Short.
| 10/25/2025 |
| 01/23/2026 |
If you would invest 0.00 in Blackrock Short on October 25, 2025 and sell it all today you would earn a total of 0.00 from holding Blackrock Short Term Inflat Protected or generate 0.0% return on investment in Blackrock Short over 90 days. Blackrock Short is related to or competes with Short Term, Sit Us, Ridgeworth Seix, Goldman Sachs, Federated Government, and Inverse Government. The fund seeks to track the investment results of the Bloomberg U.S More
Blackrock Short 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 Blackrock Short'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 Blackrock Short Term Inflat Protected upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.1317 | |||
| Information Ratio | (0.85) | |||
| Maximum Drawdown | 0.6207 | |||
| Value At Risk | (0.10) | |||
| Potential Upside | 0.2066 |
Blackrock Short Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Blackrock Short's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Blackrock Short's standard deviation. In reality, there are many statistical measures that can use Blackrock Short historical prices to predict the future Blackrock Short's volatility.| Risk Adjusted Performance | (0.02) | |||
| Jensen Alpha | (0.01) | |||
| Total Risk Alpha | (0.02) | |||
| Sortino Ratio | (0.75) | |||
| Treynor Ratio | (0.66) |
Blackrock Short January 23, 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 | (0.02) | |||
| Market Risk Adjusted Performance | (0.65) | |||
| Mean Deviation | 0.0788 | |||
| Semi Deviation | 0.0465 | |||
| Downside Deviation | 0.1317 | |||
| Coefficient Of Variation | 2454.0 | |||
| Standard Deviation | 0.1166 | |||
| Variance | 0.0136 | |||
| Information Ratio | (0.85) | |||
| Jensen Alpha | (0.01) | |||
| Total Risk Alpha | (0.02) | |||
| Sortino Ratio | (0.75) | |||
| Treynor Ratio | (0.66) | |||
| Maximum Drawdown | 0.6207 | |||
| Value At Risk | (0.10) | |||
| Potential Upside | 0.2066 | |||
| Downside Variance | 0.0174 | |||
| Semi Variance | 0.0022 | |||
| Expected Short fall | (0.15) | |||
| Skewness | 0.8404 | |||
| Kurtosis | 2.58 |
Blackrock Short Term Backtested Returns
At this stage we consider Blackrock Mutual Fund to be very steady. Blackrock Short Term secures Sharpe Ratio (or Efficiency) of 0.0578, which signifies that the fund had a 0.0578 % return per unit of standard deviation over the last 3 months. We have found twenty-six technical indicators for Blackrock Short Term Inflat Protected, which you can use to evaluate the volatility of the entity. Please confirm Blackrock Short's mean deviation of 0.0788, and Risk Adjusted Performance of (0.02) to double-check if the risk estimate we provide is consistent with the expected return of 0.0069%. The fund shows a Beta (market volatility) of 0.008, which signifies not very significant fluctuations relative to the market. As returns on the market increase, Blackrock Short's returns are expected to increase less than the market. However, during the bear market, the loss of holding Blackrock Short is expected to be smaller as well.
Auto-correlation | 0.31 |
Below average predictability
Blackrock Short Term Inflat Protected has below average predictability. Overlapping area represents the amount of predictability between Blackrock Short time series from 25th of October 2025 to 9th of December 2025 and 9th of December 2025 to 23rd of January 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 Blackrock Short Term price movement. The serial correlation of 0.31 indicates that nearly 31.0% of current Blackrock Short price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.31 | |
| Spearman Rank Test | 0.54 | |
| 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 Blackrock Mutual Fund
Blackrock Short financial ratios help investors to determine whether Blackrock 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 Blackrock with respect to the benefits of owning Blackrock Short security.
| Bollinger Bands Use Bollinger Bands indicator to analyze target price for a given investing horizon | |
| Alpha Finder Use alpha and beta coefficients to find investment opportunities after accounting for the risk | |
| Correlation Analysis Reduce portfolio risk simply by holding instruments which are not perfectly correlated |