Oppenheimer Gr Incm Fund Market Value
| OGINX Fund | USD 43.09 0.05 0.12% |
| Symbol | Oppenheimer |
Oppenheimer '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'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.
| 03/20/2024 |
| 04/19/2024 |
If you would invest 0.00 in Oppenheimer on March 20, 2024 and sell it all today you would earn a total of 0.00 from holding Oppenheimer Gr Incm or generate 0.0% return on investment in Oppenheimer over 30 days. Oppenheimer is related to or competes with Oppenheimer Main, Oppenheimer Intl, Oppenheimer Main, Oppenheimer Global, Oppenheimer Strat, Oppenheimer Strategic, and Oppenheimer Intl. The fund invests mainly in equity securities of issuers in the U.S More
Oppenheimer 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'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 Gr Incm upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.12) | |||
| Maximum Drawdown | 4.48 | |||
| Value At Risk | (1.31) | |||
| Potential Upside | 1.27 |
Oppenheimer Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Oppenheimer's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Oppenheimer's standard deviation. In reality, there are many statistical measures that can use Oppenheimer historical prices to predict the future Oppenheimer's volatility.| Risk Adjusted Performance | (0.02) | |||
| Jensen Alpha | (0.12) | |||
| Total Risk Alpha | (0.13) | |||
| Treynor Ratio | (0.04) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Oppenheimer'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 Gr Backtested Returns
Oppenheimer Gr maintains Sharpe Ratio (i.e., Efficiency) of -0.066, which implies the entity had a -0.066% return per unit of risk over the last 3 months. Oppenheimer Gr exposes twenty-one different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check Oppenheimer's Coefficient Of Variation of (2,476), risk adjusted performance of (0.02), and Variance of 0.8057 to confirm the risk estimate we provide. The fund holds a Beta of 1.3, 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, Oppenheimer will likely underperform.
Auto-correlation | 0.67 |
Good predictability
Oppenheimer Gr Incm has good predictability. Overlapping area represents the amount of predictability between Oppenheimer time series from 20th of March 2024 to 4th of April 2024 and 4th of April 2024 to 19th 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 Gr price movement. The serial correlation of 0.67 indicates that around 67.0% of current Oppenheimer price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.67 | |
| Spearman Rank Test | 0.55 | |
| Residual Average | 0.0 | |
| Price Variance | 0.98 |
Oppenheimer Gr lagged returns against current returns
Autocorrelation, which is Oppenheimer 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's mutual fund expected returns. We can calculate the autocorrelation of Oppenheimer returns to help us make a trade decision. For example, suppose you find that Oppenheimer 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 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 mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Oppenheimer 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 mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Oppenheimer Lagged Returns
When evaluating Oppenheimer's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Oppenheimer mutual fund have on its future price. Oppenheimer 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 autocorrelation shows the relationship between Oppenheimer mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Oppenheimer Gr Incm.
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 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's short interest history, or implied volatility extrapolated from Oppenheimer options trading.
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Oppenheimer 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.