Oppenheimer Flexible Strategies Fund Market Value
| QOPIX Fund | USD 25.43 0.01 0.04% |
| Symbol | Oppenheimer |
Oppenheimer Flexible '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 Flexible'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 Flexible.
| 04/29/2022 |
| 04/18/2024 |
If you would invest 0.00 in Oppenheimer Flexible on April 29, 2022 and sell it all today you would earn a total of 0.00 from holding Oppenheimer Flexible Strategies or generate 0.0% return on investment in Oppenheimer Flexible over 720 days. Oppenheimer Flexible is related to or competes with Blackrock Alternative, Blackrock Systematic, Blackstone Alternative, Aqr Style, and Blackstone Alternative. The funds Adviser exercises a flexible strategy in selecting its investments More
Oppenheimer Flexible 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 Flexible'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 Flexible Strategies upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.1429 | |||
| Information Ratio | (0.14) | |||
| Maximum Drawdown | 0.7125 | |||
| Value At Risk | (0.20) | |||
| Potential Upside | 0.2817 |
Oppenheimer Flexible Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Oppenheimer Flexible's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Oppenheimer Flexible's standard deviation. In reality, there are many statistical measures that can use Oppenheimer Flexible historical prices to predict the future Oppenheimer Flexible's volatility.| Risk Adjusted Performance | 0.1185 | |||
| Jensen Alpha | 0.0161 | |||
| Total Risk Alpha | 0.0146 | |||
| Sortino Ratio | (0.14) | |||
| Treynor Ratio | 0.1271 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Oppenheimer Flexible'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 Flexible Backtested Returns
We consider Oppenheimer Flexible out of control. Oppenheimer Flexible maintains Sharpe Ratio (i.e., Efficiency) of 0.26, which implies the entity had a 0.26% return per unit of risk over the last 3 months. We have found twenty-seven technical indicators for Oppenheimer Flexible, which you can use to evaluate the volatility of the fund. Please check Oppenheimer Flexible's Downside Deviation of 0.1429, standard deviation of 0.1456, and Risk Adjusted Performance of 0.1185 to confirm if the risk estimate we provide is consistent with the expected return of 0.038%. The fund holds a Beta of 0.2, which implies not very significant fluctuations relative to the market. As returns on the market increase, Oppenheimer Flexible's returns are expected to increase less than the market. However, during the bear market, the loss of holding Oppenheimer Flexible is expected to be smaller as well.
Auto-correlation | -0.16 |
Insignificant reverse predictability
Oppenheimer Flexible Strategies has insignificant reverse predictability. Overlapping area represents the amount of predictability between Oppenheimer Flexible time series from 29th of April 2022 to 24th of April 2023 and 24th of April 2023 to 18th 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 Flexible price movement. The serial correlation of -0.16 indicates that over 16.0% of current Oppenheimer Flexible price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.16 | |
| Spearman Rank Test | -0.35 | |
| Residual Average | 0.0 | |
| Price Variance | 0.26 |
Oppenheimer Flexible lagged returns against current returns
Autocorrelation, which is Oppenheimer Flexible 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 Flexible's mutual fund expected returns. We can calculate the autocorrelation of Oppenheimer Flexible returns to help us make a trade decision. For example, suppose you find that Oppenheimer Flexible 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 Flexible 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 Flexible mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Oppenheimer Flexible 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 Flexible mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Oppenheimer Flexible Lagged Returns
When evaluating Oppenheimer Flexible's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Oppenheimer Flexible mutual fund have on its future price. Oppenheimer Flexible 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 Flexible autocorrelation shows the relationship between Oppenheimer Flexible mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Oppenheimer Flexible Strategies.
Regressed Prices |
| Timeline |
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Check out Oppenheimer Flexible Correlation, Oppenheimer Flexible Volatility and Oppenheimer Flexible Alpha and Beta module to complement your research on Oppenheimer Flexible. You can also try the Instant Ratings module to determine any equity ratings based on digital recommendations. Macroaxis instant equity ratings are based on combination of fundamental analysis and risk-adjusted market performance.
Oppenheimer Flexible 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.