Prudential Financial Services Fund Market Value
| PFSAX Fund | USD 20.34 0.24 1.19% |
| Symbol | Prudential |
Prudential Financial '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 Financial'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 Financial.
| 03/25/2024 |
| 04/24/2024 |
If you would invest 0.00 in Prudential Financial on March 25, 2024 and sell it all today you would earn a total of 0.00 from holding Prudential Financial Services or generate 0.0% return on investment in Prudential Financial over 30 days. Prudential Financial is related to or competes with Prudential Jennison, Prudential Jennison, Prudential Jennison, Prudential Short, Prudential Short, Prudential Short, and Prudential Emerging. The fund normally invests at least 80 percent of its investable assets in equity and equity-related securities of financ... More
Prudential Financial 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 Financial'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 Financial Services upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.9768 | |||
| Information Ratio | 0.0567 | |||
| Maximum Drawdown | 3.94 | |||
| Value At Risk | (1.25) | |||
| Potential Upside | 1.41 |
Prudential Financial Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Prudential Financial's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Prudential Financial's standard deviation. In reality, there are many statistical measures that can use Prudential Financial historical prices to predict the future Prudential Financial's volatility.| Risk Adjusted Performance | 0.1058 | |||
| Jensen Alpha | 0.0454 | |||
| Total Risk Alpha | 0.0215 | |||
| Sortino Ratio | 0.0465 | |||
| Treynor Ratio | 0.1247 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Prudential Financial'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 Financial Backtested Returns
We consider Prudential Financial very steady. Prudential Financial maintains Sharpe Ratio (i.e., Efficiency) of 0.14, which implies the entity had a 0.14% return per unit of risk over the last 3 months. We have found twenty-seven technical indicators for Prudential Financial, which you can use to evaluate the volatility of the fund. Please check Prudential Financial's Risk Adjusted Performance of 0.1058, semi deviation of 0.7537, and Coefficient Of Variation of 595.06 to confirm if the risk estimate we provide is consistent with the expected return of 0.11%. The fund holds a Beta of 1.0, which implies a somewhat significant risk relative to the market. Prudential Financial returns are very sensitive to returns on the market. As the market goes up or down, Prudential Financial is expected to follow.
Auto-correlation | 0.29 |
Poor predictability
Prudential Financial Services has poor predictability. Overlapping area represents the amount of predictability between Prudential Financial time series from 25th of March 2024 to 9th of April 2024 and 9th of April 2024 to 24th 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 Financial price movement. The serial correlation of 0.29 indicates that nearly 29.0% of current Prudential Financial price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.29 | |
| Spearman Rank Test | 0.05 | |
| Residual Average | 0.0 | |
| Price Variance | 0.1 |
Prudential Financial lagged returns against current returns
Autocorrelation, which is Prudential Financial 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 Financial's mutual fund expected returns. We can calculate the autocorrelation of Prudential Financial returns to help us make a trade decision. For example, suppose you find that Prudential Financial 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 Financial 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 Financial mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Prudential Financial 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 Financial mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Prudential Financial Lagged Returns
When evaluating Prudential Financial's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Prudential Financial mutual fund have on its future price. Prudential Financial 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 Financial autocorrelation shows the relationship between Prudential Financial mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Prudential Financial Services.
Regressed Prices |
| Timeline |
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards Prudential Financial in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, Prudential Financial's short interest history, or implied volatility extrapolated from Prudential Financial options trading.
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Check out Prudential Financial Correlation, Prudential Financial Volatility and Prudential Financial Alpha and Beta module to complement your research on Prudential Financial. For more information on how to buy Prudential Mutual Fund please use our How to Invest in Prudential Financial guide.Note that the Prudential Financial information on this page should be used as a complementary analysis to other Prudential Financial'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 Instant Ratings module to determine any equity ratings based on digital recommendations. Macroaxis instant equity ratings are based on combination of fundamental analysis and risk-adjusted market performance.
Prudential Financial 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.