Oppenheimer Roc Penn Fund Market Value
| OPACX Fund | USD 10.18 0.05 0.49% |
| Symbol | Oppenheimer |
Oppenheimer Roc '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 Roc'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 Roc.
| 03/31/2024 |
| 05/30/2024 |
If you would invest 0.00 in Oppenheimer Roc on March 31, 2024 and sell it all today you would earn a total of 0.00 from holding Oppenheimer Roc Penn or generate 0.0% return on investment in Oppenheimer Roc over 60 days. Oppenheimer Roc is related to or competes with Invesco Municipal, Invesco Municipal, Invesco Municipal, Oppenheimer Rising, Invesco High, Oppenheimer Strategic, and Oppenheimer International. Under normal market conditions, and as a fundamental policy, the fund invests at least 80 percent of its net assets in s... More
Oppenheimer Roc 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 Roc'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 Roc Penn upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.20) | |||
| Maximum Drawdown | 0.9752 | |||
| Value At Risk | (0.29) | |||
| Potential Upside | 0.293 |
Oppenheimer Roc Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Oppenheimer Roc's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Oppenheimer Roc's standard deviation. In reality, there are many statistical measures that can use Oppenheimer Roc historical prices to predict the future Oppenheimer Roc's volatility.| Risk Adjusted Performance | (0.06) | |||
| Jensen Alpha | (0.02) | |||
| Total Risk Alpha | (0.03) | |||
| Treynor Ratio | (0.32) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Oppenheimer Roc'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 Roc Penn Backtested Returns
Oppenheimer Roc Penn maintains Sharpe Ratio (i.e., Efficiency) of -0.0757, which implies the entity had a -0.0757% return per unit of risk over the last 3 months. Oppenheimer Roc Penn exposes twenty-two different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check Oppenheimer Roc's Variance of 0.0326, coefficient of variation of (1,542), and Risk Adjusted Performance of (0.06) to confirm the risk estimate we provide. The fund holds a Beta of 0.0671, which implies not very significant fluctuations relative to the market. As returns on the market increase, Oppenheimer Roc's returns are expected to increase less than the market. However, during the bear market, the loss of holding Oppenheimer Roc is expected to be smaller as well.
Auto-correlation | -0.22 |
Weak reverse predictability
Oppenheimer Roc Penn has weak reverse predictability. Overlapping area represents the amount of predictability between Oppenheimer Roc time series from 31st of March 2024 to 30th of April 2024 and 30th of April 2024 to 30th of May 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 Roc Penn price movement. The serial correlation of -0.22 indicates that over 22.0% of current Oppenheimer Roc price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.22 | |
| Spearman Rank Test | -0.34 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Oppenheimer Roc Penn lagged returns against current returns
Autocorrelation, which is Oppenheimer Roc 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 Roc's mutual fund expected returns. We can calculate the autocorrelation of Oppenheimer Roc returns to help us make a trade decision. For example, suppose you find that Oppenheimer Roc 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 Roc 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 Roc mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Oppenheimer Roc 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 Roc mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Oppenheimer Roc Lagged Returns
When evaluating Oppenheimer Roc's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Oppenheimer Roc mutual fund have on its future price. Oppenheimer Roc 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 Roc autocorrelation shows the relationship between Oppenheimer Roc mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Oppenheimer Roc Penn.
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.Check out Oppenheimer Roc Correlation, Oppenheimer Roc Volatility and Oppenheimer Roc Alpha and Beta module to complement your research on Oppenheimer Roc. Note that the Oppenheimer Roc Penn information on this page should be used as a complementary analysis to other Oppenheimer Roc'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 Risk-Return Analysis module to view associations between returns expected from investment and the risk you assume.
Oppenheimer Roc 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.