Prudential Financial (Brazil) Market Value
| P1DT34 Stock | BRL 391.95 18.99 5.09% |
| 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 stock 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.
| 09/02/2024 |
| 12/01/2024 |
If you would invest 0.00 in Prudential Financial on September 2, 2024 and sell it all today you would earn a total of 0.00 from holding Prudential Financial or generate 0.0% return on investment in Prudential Financial over 90 days. Prudential Financial is related to or competes with Fras Le, Western Digital, Energisa, BTG Pactual, Plano Plano, and Companhia Habitasul. Prudential Financial, Inc., together with its subsidiaries, provides insurance, investment management, and other financi... 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 stock 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 upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 2.25 | |||
| Information Ratio | 0.1205 | |||
| Maximum Drawdown | 12.92 | |||
| Value At Risk | (0.73) | |||
| Potential Upside | 4.29 |
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 | 0.1527 | |||
| Jensen Alpha | 0.3663 | |||
| Total Risk Alpha | 0.0381 | |||
| Sortino Ratio | 0.1031 | |||
| Treynor Ratio | (7.13) |
Prudential Financial Backtested Returns
Prudential Financial appears to be very steady, given 3 months investment horizon. Prudential Financial maintains Sharpe Ratio (i.e., Efficiency) of 0.15, which implies the firm had a 0.15% return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for Prudential Financial, which you can use to evaluate the volatility of the company. Please evaluate Prudential Financial's Semi Deviation of 0.2483, coefficient of variation of 521.14, and Risk Adjusted Performance of 0.1527 to confirm if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Prudential Financial holds a performance score of 11. The company holds a Beta of -0.0505, which implies not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Prudential Financial are expected to decrease at a much lower rate. During the bear market, Prudential Financial is likely to outperform the market. Please check Prudential Financial's value at risk, downside variance, and the relationship between the maximum drawdown and potential upside , to make a quick decision on whether Prudential Financial's historical price patterns will revert.
Auto-correlation | -0.73 |
Almost perfect reverse predictability
Prudential Financial has almost perfect reverse predictability. Overlapping area represents the amount of predictability between Prudential Financial time series from 2nd of September 2024 to 17th of October 2024 and 17th of October 2024 to 1st of December 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 -0.73 indicates that around 73.0% of current Prudential Financial price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.73 | |
| Spearman Rank Test | -0.27 | |
| Residual Average | 0.0 | |
| Price Variance | 346.26 |
Prudential Financial lagged returns against current returns
Autocorrelation, which is Prudential Financial stock'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 stock 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 stock 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 stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Prudential Financial stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Prudential Financial stock 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 stock 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 stock current value and its past values and can show if there is a momentum factor associated with investing in Prudential Financial.
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.Additional Information and Resources on Investing in Prudential Stock
When determining whether Prudential Financial is a good investment, qualitative aspects like company management, corporate governance, and ethical practices play a significant role. A comparison with peer companies also provides context and helps to understand if Prudential Stock is undervalued or overvalued. This multi-faceted approach, blending both quantitative and qualitative analysis, forms a solid foundation for making an informed investment decision about Prudential Financial Stock. Highlighted below are key reports to facilitate an investment decision about Prudential Financial Stock:Check out Prudential Financial Correlation, Prudential Financial Volatility and Prudential Financial Alpha and Beta module to complement your research on Prudential Financial. For information on how to trade Prudential Stock refer to our How to Trade Prudential Stock guide.You can also try the AI Portfolio Architect module to use AI to generate optimal portfolios and find profitable investment opportunities.
Prudential Financial technical stock 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, stock market cycles, or different charting patterns.