Oppenheimer Rochester Fund Market Value
| RMUNX Fund | USD 15.41 0.04 0.26% |
| Symbol | Oppenheimer |
Oppenheimer Rochester '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 Rochester'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 Rochester.
| 12/09/2022 |
| 11/28/2024 |
If you would invest 0.00 in Oppenheimer Rochester on December 9, 2022 and sell it all today you would earn a total of 0.00 from holding Oppenheimer Rochester or generate 0.0% return on investment in Oppenheimer Rochester over 720 days. Oppenheimer Rochester is related to or competes with Opnhmr Rchstr, Oppenheimer Rochester, Franklin New, Oppenheimer Rchster, and Oppenheimer Rochester. The fund invests at least 80 percent of its net assets in securities the income from which, in the opinion of counsel to... More
Oppenheimer Rochester 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 Rochester'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 Rochester upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.5006 | |||
| Information Ratio | (0.31) | |||
| Maximum Drawdown | 2.3 | |||
| Value At Risk | (0.52) | |||
| Potential Upside | 0.4578 |
Oppenheimer Rochester Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Oppenheimer Rochester's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Oppenheimer Rochester's standard deviation. In reality, there are many statistical measures that can use Oppenheimer Rochester historical prices to predict the future Oppenheimer Rochester's volatility.| Risk Adjusted Performance | 0.0213 | |||
| Jensen Alpha | 0.0231 | |||
| Total Risk Alpha | (0.05) | |||
| Sortino Ratio | (0.23) | |||
| Treynor Ratio | (0.04) |
Oppenheimer Rochester Backtested Returns
At this stage we consider Oppenheimer Mutual Fund to be very steady. Oppenheimer Rochester maintains Sharpe Ratio (i.e., Efficiency) of 0.0426, which implies the entity had a 0.0426% return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for Oppenheimer Rochester, which you can use to evaluate the volatility of the fund. Please check Oppenheimer Rochester's Coefficient Of Variation of 2407.71, risk adjusted performance of 0.0213, and Semi Deviation of 0.3762 to confirm if the risk estimate we provide is consistent with the expected return of 0.0162%. The fund holds a Beta of -0.15, which implies not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Oppenheimer Rochester are expected to decrease at a much lower rate. During the bear market, Oppenheimer Rochester is likely to outperform the market.
Auto-correlation | -0.38 |
Poor reverse predictability
Oppenheimer Rochester has poor reverse predictability. Overlapping area represents the amount of predictability between Oppenheimer Rochester time series from 9th of December 2022 to 4th of December 2023 and 4th of December 2023 to 28th 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 Rochester price movement. The serial correlation of -0.38 indicates that just about 38.0% of current Oppenheimer Rochester price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.38 | |
| Spearman Rank Test | -0.12 | |
| Residual Average | 0.0 | |
| Price Variance | 0.06 |
Oppenheimer Rochester lagged returns against current returns
Autocorrelation, which is Oppenheimer Rochester 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 Rochester's mutual fund expected returns. We can calculate the autocorrelation of Oppenheimer Rochester returns to help us make a trade decision. For example, suppose you find that Oppenheimer Rochester 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 Rochester 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 Rochester mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Oppenheimer Rochester 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 Rochester mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Oppenheimer Rochester Lagged Returns
When evaluating Oppenheimer Rochester's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Oppenheimer Rochester mutual fund have on its future price. Oppenheimer Rochester 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 Rochester autocorrelation shows the relationship between Oppenheimer Rochester mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Oppenheimer Rochester.
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 Rochester 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 Rochester security.
| Competition Analyzer Analyze and compare many basic indicators for a group of related or unrelated entities | |
| Correlation Analysis Reduce portfolio risk simply by holding instruments which are not perfectly correlated | |
| Portfolio Analyzer Portfolio analysis module that provides access to portfolio diagnostics and optimization engine | |
| ETFs Find actively traded Exchange Traded Funds (ETF) from around the world |