Prudential Short Term Porate Fund Market Value
| PIFZX Fund | USD 10.43 0.02 0.19% |
| Symbol | Prudential |
Prudential Short-term '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 Prudential Short-term'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 Prudential Short-term.
| 06/08/2022 |
| 05/28/2024 |
If you would invest 0.00 in Prudential Short-term on June 8, 2022 and sell it all today you would earn a total of 0.00 from holding Prudential Short Term Porate or generate 0.0% return on investment in Prudential Short-term over 720 days. Prudential Short-term is related to or competes with SCOR PK, Morningstar Unconstrained, T Rowe, SEI Investments, Ab Small, Intrepid Capital, and Mill City. The fund invests, under normal circumstances, at least 80 percent of its investable assets in bonds of corporations with... More
Prudential Short-term 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 Prudential Short-term'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 Prudential Short Term Porate upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.1965 | |||
| Information Ratio | (0.20) | |||
| Maximum Drawdown | 0.8668 | |||
| Value At Risk | (0.19) | |||
| Potential Upside | 0.2882 |
Prudential Short-term Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Prudential Short-term's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Prudential Short-term's standard deviation. In reality, there are many statistical measures that can use Prudential Short-term historical prices to predict the future Prudential Short-term's volatility.| Risk Adjusted Performance | 0.0267 | |||
| Jensen Alpha | 0.0011 | |||
| Total Risk Alpha | (0.01) | |||
| Sortino Ratio | (0.17) | |||
| Treynor Ratio | 0.0491 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Prudential Short-term's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Prudential Short Term Backtested Returns
We consider Prudential Short-term very steady. Prudential Short Term maintains Sharpe Ratio (i.e., Efficiency) of 0.092, which implies the entity had a 0.092% return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for Prudential Short Term, which you can use to evaluate the volatility of the fund. Please check Prudential Short-term's Risk Adjusted Performance of 0.0267, semi deviation of 0.092, and Coefficient Of Variation of 1124.14 to confirm if the risk estimate we provide is consistent with the expected return of 0.0154%. The fund holds a Beta of 0.0964, which implies not very significant fluctuations relative to the market. As returns on the market increase, Prudential Short-term's returns are expected to increase less than the market. However, during the bear market, the loss of holding Prudential Short-term is expected to be smaller as well.
Auto-correlation | 0.70 |
Good predictability
Prudential Short Term Porate has good predictability. Overlapping area represents the amount of predictability between Prudential Short-term time series from 8th of June 2022 to 3rd of June 2023 and 3rd of June 2023 to 28th of May 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 Prudential Short Term price movement. The serial correlation of 0.7 indicates that around 70.0% of current Prudential Short-term price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.7 | |
| Spearman Rank Test | 0.57 | |
| Residual Average | 0.0 | |
| Price Variance | 0.05 |
Prudential Short Term lagged returns against current returns
Autocorrelation, which is Prudential Short-term 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 Prudential Short-term's mutual fund expected returns. We can calculate the autocorrelation of Prudential Short-term returns to help us make a trade decision. For example, suppose you find that Prudential Short-term 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 |
Prudential Short-term 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 Prudential Short-term mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Prudential Short-term mutual fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Prudential Short-term mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Prudential Short-term Lagged Returns
When evaluating Prudential Short-term's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Prudential Short-term mutual fund have on its future price. Prudential Short-term 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, Prudential Short-term autocorrelation shows the relationship between Prudential Short-term mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Prudential Short Term Porate.
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.Check out Prudential Short-term Correlation, Prudential Short-term Volatility and Prudential Short-term Alpha and Beta module to complement your research on Prudential Short-term. Note that the Prudential Short Term information on this page should be used as a complementary analysis to other Prudential Short-term's statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Volatility Analysis module to get historical volatility and risk analysis based on latest market data.
Prudential Short-term technical mutual fund analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, fund market cycles, or different charting patterns.