Oppenheimer Rising Dividends Fund Market Value
| OARDX Fund | USD 24.40 0.25 1.04% |
| Symbol | Oppenheimer |
Oppenheimer Rising '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 Rising'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 Rising.
| 03/25/2024 |
| 04/24/2024 |
If you would invest 0.00 in Oppenheimer Rising on March 25, 2024 and sell it all today you would earn a total of 0.00 from holding Oppenheimer Rising Dividends or generate 0.0% return on investment in Oppenheimer Rising over 30 days. Oppenheimer Rising is related to or competes with Morningstar Unconstrained, and SPACE. The fund invests mainly in common stocks of companies that currently pay dividends or are expected to begin paying divid... More
Oppenheimer Rising 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 Rising'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 Rising Dividends upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.6374 | |||
| Information Ratio | (0.03) | |||
| Maximum Drawdown | 3.28 | |||
| Value At Risk | (1.00) | |||
| Potential Upside | 1.04 |
Oppenheimer Rising Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Oppenheimer Rising's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Oppenheimer Rising's standard deviation. In reality, there are many statistical measures that can use Oppenheimer Rising historical prices to predict the future Oppenheimer Rising's volatility.| Risk Adjusted Performance | 0.0767 | |||
| Jensen Alpha | (0.01) | |||
| Total Risk Alpha | (0.02) | |||
| Sortino Ratio | (0.03) | |||
| Treynor Ratio | 0.0738 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Oppenheimer Rising'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 Rising Backtested Returns
We consider Oppenheimer Rising very steady. Oppenheimer Rising maintains Sharpe Ratio (i.e., Efficiency) of 0.11, which implies the entity had a 0.11% return per unit of risk over the last 3 months. We have found twenty-seven technical indicators for Oppenheimer Rising, which you can use to evaluate the volatility of the fund. Please check Oppenheimer Rising's Risk Adjusted Performance of 0.0767, coefficient of variation of 814.69, and Semi Deviation of 0.4804 to confirm if the risk estimate we provide is consistent with the expected return of 0.0678%. The fund holds a Beta of 0.92, which implies possible diversification benefits within a given portfolio. Oppenheimer Rising returns are very sensitive to returns on the market. As the market goes up or down, Oppenheimer Rising is expected to follow.
Auto-correlation | 0.56 |
Modest predictability
Oppenheimer Rising Dividends has modest predictability. Overlapping area represents the amount of predictability between Oppenheimer Rising time series from 25th of March 2024 to 9th of April 2024 and 9th of April 2024 to 24th of April 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 Rising price movement. The serial correlation of 0.56 indicates that roughly 56.0% of current Oppenheimer Rising price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.56 | |
| Spearman Rank Test | 0.68 | |
| Residual Average | 0.0 | |
| Price Variance | 0.1 |
Oppenheimer Rising lagged returns against current returns
Autocorrelation, which is Oppenheimer Rising 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 Rising's mutual fund expected returns. We can calculate the autocorrelation of Oppenheimer Rising returns to help us make a trade decision. For example, suppose you find that Oppenheimer Rising 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 Rising 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 Rising mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Oppenheimer Rising 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 Rising mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Oppenheimer Rising Lagged Returns
When evaluating Oppenheimer Rising's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Oppenheimer Rising mutual fund have on its future price. Oppenheimer Rising 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 Rising autocorrelation shows the relationship between Oppenheimer Rising mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Oppenheimer Rising Dividends.
Regressed Prices |
| Timeline |
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards Oppenheimer Rising in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, Oppenheimer Rising's short interest history, or implied volatility extrapolated from Oppenheimer Rising options trading.
Building efficient market-beating portfolios requires time, education, and a lot of computing power!
The Portfolio Architect is an AI-driven system that provides multiple benefits to our users by leveraging cutting-edge machine learning algorithms, statistical analysis, and predictive modeling to automate the process of asset selection and portfolio construction, saving time and reducing human error for individual and institutional investors.
Try AI Portfolio ArchitectCheck out Oppenheimer Rising Correlation, Oppenheimer Rising Volatility and Oppenheimer Rising Alpha and Beta module to complement your research on Oppenheimer Rising. Note that the Oppenheimer Rising information on this page should be used as a complementary analysis to other Oppenheimer Rising'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 Idea Breakdown module to analyze constituents of all Macroaxis ideas. Macroaxis investment ideas are predefined, sector-focused investing themes.
Oppenheimer Rising 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.