Oppenheimer Active Allctn Fund Market Value
| OAAYX Fund | USD 14.97 0.07 0.47% |
| Symbol | Oppenheimer |
Oppenheimer Active '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 Oppenheimer Active'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 Oppenheimer Active.
| 12/04/2022 |
| 11/23/2024 |
If you would invest 0.00 in Oppenheimer Active on December 4, 2022 and sell it all today you would earn a total of 0.00 from holding Oppenheimer Active Allctn or generate 0.0% return on investment in Oppenheimer Active over 720 days. Oppenheimer Active is related to or competes with Dimensional Retirement, Calvert Moderate, Target Retirement, Saat Moderate, Tiaa Cref, and Pgim Conservative. The fund is a fund of funds, and invests its assets in other underlying mutual funds advised by the Adviser and exchange... More
Oppenheimer Active 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 Oppenheimer Active'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 Oppenheimer Active Allctn upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.641 | |||
| Information Ratio | (0.14) | |||
| Maximum Drawdown | 2.77 | |||
| Value At Risk | (0.94) | |||
| Potential Upside | 1.03 |
Oppenheimer Active Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Oppenheimer Active's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Oppenheimer Active's standard deviation. In reality, there are many statistical measures that can use Oppenheimer Active historical prices to predict the future Oppenheimer Active's volatility.| Risk Adjusted Performance | 0.0574 | |||
| Jensen Alpha | 0.0165 | |||
| Total Risk Alpha | (0.06) | |||
| Sortino Ratio | (0.13) | |||
| Treynor Ratio | 0.2159 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Oppenheimer Active'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.
Oppenheimer Active Allctn Backtested Returns
At this stage we consider Oppenheimer Mutual Fund to be very steady. Oppenheimer Active Allctn maintains Sharpe Ratio (i.e., Efficiency) of 0.0904, which implies the entity had a 0.0904% return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for Oppenheimer Active Allctn, which you can use to evaluate the volatility of the fund. Please check Oppenheimer Active's Risk Adjusted Performance of 0.0574, coefficient of variation of 1276.85, and Semi Deviation of 0.5337 to confirm if the risk estimate we provide is consistent with the expected return of 0.0538%. The fund holds a Beta of 0.17, which implies not very significant fluctuations relative to the market. As returns on the market increase, Oppenheimer Active's returns are expected to increase less than the market. However, during the bear market, the loss of holding Oppenheimer Active is expected to be smaller as well.
Auto-correlation | 0.11 |
Insignificant predictability
Oppenheimer Active Allctn has insignificant predictability. Overlapping area represents the amount of predictability between Oppenheimer Active time series from 4th of December 2022 to 29th of November 2023 and 29th of November 2023 to 23rd of November 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 Oppenheimer Active Allctn price movement. The serial correlation of 0.11 indicates that less than 11.0% of current Oppenheimer Active price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.11 | |
| Spearman Rank Test | 0.27 | |
| Residual Average | 0.0 | |
| Price Variance | 0.28 |
Oppenheimer Active Allctn lagged returns against current returns
Autocorrelation, which is Oppenheimer Active 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 Oppenheimer Active's mutual fund expected returns. We can calculate the autocorrelation of Oppenheimer Active returns to help us make a trade decision. For example, suppose you find that Oppenheimer Active 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 |
Oppenheimer Active 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 Oppenheimer Active mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Oppenheimer Active mutual fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Oppenheimer Active mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Oppenheimer Active Lagged Returns
When evaluating Oppenheimer Active's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Oppenheimer Active mutual fund have on its future price. Oppenheimer Active 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, Oppenheimer Active autocorrelation shows the relationship between Oppenheimer Active mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Oppenheimer Active Allctn.
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 Oppenheimer Mutual Fund
Oppenheimer Active financial ratios help investors to determine whether Oppenheimer 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 Oppenheimer with respect to the benefits of owning Oppenheimer Active security.
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