Prudential Balanced Fund Market Value
| PIBAX Fund | USD 17.01 0.30 1.73% |
| Symbol | Prudential |
Prudential Balanced '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 Balanced'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 Balanced.
| 03/16/2024 |
| 04/15/2024 |
If you would invest 0.00 in Prudential Balanced on March 16, 2024 and sell it all today you would earn a total of 0.00 from holding Prudential Balanced Fund or generate 0.0% return on investment in Prudential Balanced over 30 days. Prudential Balanced is related to or competes with Prudential Jennison, Prudential Qma, Prudential Jennison, Prudential Jennison, and Prudential Qma. The fund invests in a portfolio of equity, fixed-income and money market securities that is actively managed to capitali... More
Prudential Balanced 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 Balanced'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 Balanced Fund upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.5105 | |||
| Information Ratio | 0.0217 | |||
| Maximum Drawdown | 2.27 | |||
| Value At Risk | (0.66) | |||
| Potential Upside | 0.7652 |
Prudential Balanced Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Prudential Balanced's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Prudential Balanced's standard deviation. In reality, there are many statistical measures that can use Prudential Balanced historical prices to predict the future Prudential Balanced's volatility.| Risk Adjusted Performance | 0.1118 | |||
| Jensen Alpha | 0.0331 | |||
| Total Risk Alpha | 0.0259 | |||
| Sortino Ratio | 0.0203 | |||
| Treynor Ratio | 0.118 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Prudential Balanced'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 Balanced Backtested Returns
We consider Prudential Balanced very steady. Prudential Balanced maintains Sharpe Ratio (i.e., Efficiency) of 0.2, which implies the entity had a 0.2% return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for Prudential Balanced, which you can use to evaluate the volatility of the fund. Please check Prudential Balanced's Risk Adjusted Performance of 0.1118, coefficient of variation of 539.56, and Semi Deviation of 0.3016 to confirm if the risk estimate we provide is consistent with the expected return of 0.0947%. The fund holds a Beta of 0.67, which implies possible diversification benefits within a given portfolio. As returns on the market increase, Prudential Balanced's returns are expected to increase less than the market. However, during the bear market, the loss of holding Prudential Balanced is expected to be smaller as well.
Auto-correlation | -0.73 |
Almost perfect reverse predictability
Prudential Balanced Fund has almost perfect reverse predictability. Overlapping area represents the amount of predictability between Prudential Balanced time series from 16th of March 2024 to 31st of March 2024 and 31st of March 2024 to 15th of April 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 Balanced price movement. The serial correlation of -0.73 indicates that around 73.0% of current Prudential Balanced price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.73 | |
| Spearman Rank Test | -0.75 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Prudential Balanced lagged returns against current returns
Autocorrelation, which is Prudential Balanced 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 Balanced's mutual fund expected returns. We can calculate the autocorrelation of Prudential Balanced returns to help us make a trade decision. For example, suppose you find that Prudential Balanced 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 Balanced 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 Balanced mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Prudential Balanced 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 Balanced mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Prudential Balanced Lagged Returns
When evaluating Prudential Balanced's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Prudential Balanced mutual fund have on its future price. Prudential Balanced 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 Balanced autocorrelation shows the relationship between Prudential Balanced mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Prudential Balanced Fund.
Regressed Prices |
| Timeline |
Becoming a Better Investor with Macroaxis
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Check out Prudential Balanced Correlation, Prudential Balanced Volatility and Prudential Balanced Alpha and Beta module to complement your research on Prudential Balanced. Note that the Prudential Balanced information on this page should be used as a complementary analysis to other Prudential Balanced'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 Portfolio Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
Prudential Balanced 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.