Short Term Fund Institutional Fund Market Value
| PTSHX Fund | USD 9.67 0.01 0.10% |
| Symbol | Short-term |
Short-term Fund '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 Fund'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 Fund.
| 10/26/2024 |
| 11/25/2024 |
If you would invest 0.00 in Short-term Fund on October 26, 2024 and sell it all today you would earn a total of 0.00 from holding Short Term Fund Institutional or generate 0.0% return on investment in Short-term Fund over 30 days. Short-term Fund is related to or competes with Jpmorgan Short, Low Duration, Massachusetts Investors, Investment Grade, and Jpmorgan. The fund normally invests at least 65 percent of its total assets in a diversified portfolio of Fixed Income Instruments... More
Short-term Fund 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 Fund'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 Fund Institutional upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (1.07) | |||
| Maximum Drawdown | 0.5248 | |||
| Value At Risk | (0.10) | |||
| Potential Upside | 0.1052 |
Short-term Fund Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Short-term Fund's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Short-term Fund's standard deviation. In reality, there are many statistical measures that can use Short-term Fund historical prices to predict the future Short-term Fund's volatility.| Risk Adjusted Performance | 0.129 | |||
| Jensen Alpha | 0.0148 | |||
| Total Risk Alpha | (0.0002) | |||
| Treynor Ratio | 3.26 |
Short Term Fund Backtested Returns
At this stage we consider Short-term Mutual Fund to be very steady. Short Term Fund 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-two technical indicators for Short Term Fund Institutional, which you can use to evaluate the volatility of the fund. Please validate Short-term Fund's Coefficient Of Variation of 389.93, risk adjusted performance of 0.129, and Variance of 0.0098 to confirm if the risk estimate we provide is consistent with the expected return of 0.0261%. The entity has a beta of 0.0047, which indicates not very significant fluctuations relative to the market. As returns on the market increase, Short-term Fund's returns are expected to increase less than the market. However, during the bear market, the loss of holding Short-term Fund is expected to be smaller as well.
Auto-correlation | 0.37 |
Below average predictability
Short Term Fund Institutional has below average predictability. Overlapping area represents the amount of predictability between Short-term Fund time series from 26th of October 2024 to 10th of November 2024 and 10th of November 2024 to 25th of November 2024. 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 Fund price movement. The serial correlation of 0.37 indicates that just about 37.0% of current Short-term Fund price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.37 | |
| Spearman Rank Test | 0.96 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Short Term Fund lagged returns against current returns
Autocorrelation, which is Short-term Fund mutual fund's lagged correlation, explains the relationship between observations of its time series of returns over different periods of time. The observations are said to be independent if autocorrelation is zero. Autocorrelation is calculated as a function of mean and variance and can have practical application in predicting Short-term Fund's mutual fund expected returns. We can calculate the autocorrelation of Short-term Fund returns to help us make a trade decision. For example, suppose you find that Short-term Fund has exhibited high autocorrelation historically, and you observe that the mutual fund is moving up for the past few days. In that case, you can expect the price movement to match the lagging time series.
Current and Lagged Values |
| Timeline |
Short-term Fund regressed lagged prices vs. current prices
Serial correlation can be approximated by using the Durbin-Watson (DW) test. The correlation can be either positive or negative. If Short-term Fund mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Short-term Fund mutual fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Short-term Fund mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Short-term Fund Lagged Returns
When evaluating Short-term Fund's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Short-term Fund mutual fund have on its future price. Short-term Fund autocorrelation represents the degree of similarity between a given time horizon and a lagged version of the same horizon over the previous time interval. In other words, Short-term Fund autocorrelation shows the relationship between Short-term Fund mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Short Term Fund Institutional.
Regressed Prices |
| Timeline |
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 Short-term Mutual Fund
Short-term Fund 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 Fund security.
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