Prudential Commodity Strategies Fund Market Value
PQCMX Fund | USD 6.55 0.04 0.61% |
Symbol | Prudential |
Prudential Commodity '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 Commodity'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 Commodity.
01/05/2023 |
| 12/25/2024 |
If you would invest 0.00 in Prudential Commodity on January 5, 2023 and sell it all today you would earn a total of 0.00 from holding Prudential Commodity Strategies or generate 0.0% return on investment in Prudential Commodity over 720 days. Prudential Commodity is related to or competes with Prudential Jennison, Prudential Jennison, Pgim Jennison, Pgim Jennison, Prudential Short, Prudential Emerging, and Prudential Floating. The advisor expects that most of the funds commodity investments will be through exchange-traded futures contracts, and ... More
Prudential Commodity 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 Commodity'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 Commodity Strategies upside and downside potential and time the market with a certain degree of confidence.
Information Ratio | (0.12) | |||
Maximum Drawdown | 6.01 | |||
Value At Risk | (1.43) | |||
Potential Upside | 1.02 |
Prudential Commodity Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Prudential Commodity's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Prudential Commodity's standard deviation. In reality, there are many statistical measures that can use Prudential Commodity historical prices to predict the future Prudential Commodity's volatility.Risk Adjusted Performance | (0.05) | |||
Jensen Alpha | (0.07) | |||
Total Risk Alpha | (0.11) | |||
Treynor Ratio | 0.8834 |
Prudential Commodity Backtested Returns
Prudential Commodity maintains Sharpe Ratio (i.e., Efficiency) of -0.0783, which implies the entity had a -0.0783% return per unit of risk over the last 3 months. Prudential Commodity exposes twenty-one different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check Prudential Commodity's Coefficient Of Variation of (1,453), variance of 0.8533, and Risk Adjusted Performance of (0.05) to confirm the risk estimate we provide. The fund holds a Beta of -0.0833, which implies not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Prudential Commodity are expected to decrease at a much lower rate. During the bear market, Prudential Commodity is likely to outperform the market.
Auto-correlation | -0.57 |
Good reverse predictability
Prudential Commodity Strategies has good reverse predictability. Overlapping area represents the amount of predictability between Prudential Commodity time series from 5th of January 2023 to 31st of December 2023 and 31st of December 2023 to 25th 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 Commodity price movement. The serial correlation of -0.57 indicates that roughly 57.0% of current Prudential Commodity price fluctuation can be explain by its past prices.
Correlation Coefficient | -0.57 | |
Spearman Rank Test | 0.01 | |
Residual Average | 0.0 | |
Price Variance | 0.04 |
Prudential Commodity lagged returns against current returns
Autocorrelation, which is Prudential Commodity 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 Commodity's mutual fund expected returns. We can calculate the autocorrelation of Prudential Commodity returns to help us make a trade decision. For example, suppose you find that Prudential Commodity 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 Commodity 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 Commodity mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Prudential Commodity 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 Commodity mutual fund over time.
Current vs Lagged Prices |
Timeline |
Prudential Commodity Lagged Returns
When evaluating Prudential Commodity's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Prudential Commodity mutual fund have on its future price. Prudential Commodity 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 Commodity autocorrelation shows the relationship between Prudential Commodity mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Prudential Commodity Strategies.
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 Prudential Mutual Fund
Prudential Commodity financial ratios help investors to determine whether Prudential 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 Prudential with respect to the benefits of owning Prudential Commodity security.
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