Oppenhmr Discovery Mid Fund Market Value
| OEGNX Fund | USD 23.19 0.39 1.65% |
| Symbol | Oppenhmr |
Oppenhmr Discovery '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 Oppenhmr Discovery'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 Oppenhmr Discovery.
| 04/27/2022 |
| 04/16/2024 |
If you would invest 0.00 in Oppenhmr Discovery on April 27, 2022 and sell it all today you would earn a total of 0.00 from holding Oppenhmr Discovery Mid or generate 0.0% return on investment in Oppenhmr Discovery over 720 days. Oppenhmr Discovery is related to or competes with Oppenheimer Main, Oppenheimer Intl, Oppenheimer Main, Oppenheimer Global, Oppenheimer Strat, Oppenheimer Strategic, and Oppenheimer Intl. The fund mainly invests in common stocks of U.S More
Oppenhmr Discovery 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 Oppenhmr Discovery'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 Oppenhmr Discovery Mid upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.954 | |||
| Information Ratio | 0.1312 | |||
| Maximum Drawdown | 4.25 | |||
| Value At Risk | (1.28) | |||
| Potential Upside | 1.81 |
Oppenhmr Discovery Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Oppenhmr Discovery's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Oppenhmr Discovery's standard deviation. In reality, there are many statistical measures that can use Oppenhmr Discovery historical prices to predict the future Oppenhmr Discovery's volatility.| Risk Adjusted Performance | 0.1352 | |||
| Jensen Alpha | 0.1142 | |||
| Total Risk Alpha | 0.0885 | |||
| Sortino Ratio | 0.1322 | |||
| Treynor Ratio | 0.1654 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Oppenhmr Discovery'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.
Oppenhmr Discovery Mid Backtested Returns
We consider Oppenhmr Discovery very steady. Oppenhmr Discovery Mid maintains Sharpe Ratio (i.e., Efficiency) of 0.17, which implies the entity had a 0.17% return per unit of risk over the last 3 months. We have found twenty-seven technical indicators for Oppenhmr Discovery Mid, which you can use to evaluate the volatility of the fund. Please check Oppenhmr Discovery's Semi Deviation of 0.6676, risk adjusted performance of 0.1352, and Coefficient Of Variation of 470.44 to confirm if the risk estimate we provide is consistent with the expected return of 0.18%. The fund holds a Beta of 1.17, which implies a somewhat significant risk relative to the market. As the market goes up, the company is expected to outperform it. However, if the market returns are negative, Oppenhmr Discovery will likely underperform.
Auto-correlation | 0.04 |
Virtually no predictability
Oppenhmr Discovery Mid has virtually no predictability. Overlapping area represents the amount of predictability between Oppenhmr Discovery time series from 27th of April 2022 to 22nd of April 2023 and 22nd of April 2023 to 16th 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 Oppenhmr Discovery Mid price movement. The serial correlation of 0.04 indicates that only as little as 4.0% of current Oppenhmr Discovery price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.04 | |
| Spearman Rank Test | -0.29 | |
| Residual Average | 0.0 | |
| Price Variance | 2.87 |
Oppenhmr Discovery Mid lagged returns against current returns
Autocorrelation, which is Oppenhmr Discovery 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 Oppenhmr Discovery's mutual fund expected returns. We can calculate the autocorrelation of Oppenhmr Discovery returns to help us make a trade decision. For example, suppose you find that Oppenhmr Discovery 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 |
Oppenhmr Discovery 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 Oppenhmr Discovery mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Oppenhmr Discovery mutual fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Oppenhmr Discovery mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Oppenhmr Discovery Lagged Returns
When evaluating Oppenhmr Discovery's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Oppenhmr Discovery mutual fund have on its future price. Oppenhmr Discovery 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, Oppenhmr Discovery autocorrelation shows the relationship between Oppenhmr Discovery mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Oppenhmr Discovery Mid.
Regressed Prices |
| Timeline |
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 Oppenhmr Discovery Correlation, Oppenhmr Discovery Volatility and Oppenhmr Discovery Alpha and Beta module to complement your research on Oppenhmr Discovery. You can also try the Portfolio Holdings module to check your current holdings and cash postion to detemine if your portfolio needs rebalancing.
Oppenhmr Discovery 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.