Short Term Income Fund Market Value
| PSHIX Fund | USD 12.19 0.01 0.08% |
| Symbol | Short-term |
Short-term Income '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 Short-term Income'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 Short-term Income.
| 11/15/2025 |
| 02/13/2026 |
If you would invest 0.00 in Short-term Income on November 15, 2025 and sell it all today you would earn a total of 0.00 from holding Short Term Income Fund or generate 0.0% return on investment in Short-term Income over 90 days. Short-term Income is related to or competes with Aqr Managed, Ab Municipal, Fidelity Sai, The Hartford, Ab Bond, and Tiaa Cref. The fund invests primarily in high quality short-term bonds and other fixed-income securities that, at the time of purch... More
Short-term Income 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 Short-term Income'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 Short Term Income Fund upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.086 | |||
| Information Ratio | (0.70) | |||
| Maximum Drawdown | 0.4148 | |||
| Value At Risk | (0.08) | |||
| Potential Upside | 0.1658 |
Short-term Income Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Short-term Income's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Short-term Income's standard deviation. In reality, there are many statistical measures that can use Short-term Income historical prices to predict the future Short-term Income's volatility.| Risk Adjusted Performance | 0.1038 | |||
| Jensen Alpha | 0.0102 | |||
| Total Risk Alpha | 0.0025 | |||
| Sortino Ratio | (0.71) | |||
| Treynor Ratio | (5.03) |
Short-term Income February 13, 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 | 0.1038 | |||
| Market Risk Adjusted Performance | (5.02) | |||
| Mean Deviation | 0.0611 | |||
| Downside Deviation | 0.086 | |||
| Coefficient Of Variation | 434.22 | |||
| Standard Deviation | 0.0871 | |||
| Variance | 0.0076 | |||
| Information Ratio | (0.70) | |||
| Jensen Alpha | 0.0102 | |||
| Total Risk Alpha | 0.0025 | |||
| Sortino Ratio | (0.71) | |||
| Treynor Ratio | (5.03) | |||
| Maximum Drawdown | 0.4148 | |||
| Value At Risk | (0.08) | |||
| Potential Upside | 0.1658 | |||
| Downside Variance | 0.0074 | |||
| Semi Variance | (0.02) | |||
| Expected Short fall | (0.13) | |||
| Skewness | 1.61 | |||
| Kurtosis | 3.87 |
Short Term Income Backtested Returns
At this stage we consider Short-term Mutual Fund to be very steady. Short Term Income owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.26, which indicates the fund had a 0.26 % return per unit of risk over the last 3 months. We have found twenty-six technical indicators for Short Term Income Fund, which you can use to evaluate the volatility of the fund. Please validate Short-term Income's Standard Deviation of 0.0871, downside deviation of 0.086, and Risk Adjusted Performance of 0.1038 to confirm if the risk estimate we provide is consistent with the expected return of 0.0235%. The entity has a beta of -0.002, which indicates not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Short-term Income are expected to decrease at a much lower rate. During the bear market, Short-term Income is likely to outperform the market.
Auto-correlation | 0.49 |
Average predictability
Short Term Income Fund has average predictability. Overlapping area represents the amount of predictability between Short-term Income time series from 15th of November 2025 to 30th of December 2025 and 30th of December 2025 to 13th 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 Short Term Income price movement. The serial correlation of 0.49 indicates that about 49.0% of current Short-term Income price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.49 | |
| Spearman Rank Test | 0.48 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
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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 Short-term Mutual Fund
Short-term Income financial ratios help investors to determine whether Short-term 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 Short-term with respect to the benefits of owning Short-term Income security.
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