Oppenheimer Strategic Income Fund Market Value
| OSIYX Fund | USD 3.02 0.01 0.33% |
| Symbol | Oppenheimer |
Oppenheimer Strategic '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 Strategic'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 Strategic.
| 05/01/2023 |
| 04/25/2024 |
If you would invest 0.00 in Oppenheimer Strategic on May 1, 2023 and sell it all today you would earn a total of 0.00 from holding Oppenheimer Strategic Income or generate 0.0% return on investment in Oppenheimer Strategic over 360 days. Oppenheimer Strategic is related to or competes with Balanced Fund, Rbc Microcap, Aam Select, Rbb Fund, Small Pany, and Ab Select. The fund invests mainly in debt securities, including foreign and U.S More
Oppenheimer Strategic 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 Strategic'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 Strategic Income upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.26) | |||
| Maximum Drawdown | 2.27 | |||
| Value At Risk | (0.96) | |||
| Potential Upside | 0.6472 |
Oppenheimer Strategic Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Oppenheimer Strategic's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Oppenheimer Strategic's standard deviation. In reality, there are many statistical measures that can use Oppenheimer Strategic historical prices to predict the future Oppenheimer Strategic's volatility.| Risk Adjusted Performance | (0.03) | |||
| Jensen Alpha | (0.06) | |||
| Total Risk Alpha | (0.09) | |||
| Treynor Ratio | (0.09) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Oppenheimer Strategic'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 Strategic Backtested Returns
Oppenheimer Strategic maintains Sharpe Ratio (i.e., Efficiency) of -0.0816, which implies the entity had a -0.0816% return per unit of risk over the last 3 months. Oppenheimer Strategic exposes twenty-two different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check Oppenheimer Strategic's Variance of 0.1882, coefficient of variation of (2,291), and Risk Adjusted Performance of (0.03) to confirm the risk estimate we provide. The fund holds a Beta of 0.33, which implies possible diversification benefits within a given portfolio. As returns on the market increase, Oppenheimer Strategic's returns are expected to increase less than the market. However, during the bear market, the loss of holding Oppenheimer Strategic is expected to be smaller as well.
Auto-correlation | 0.11 |
Insignificant predictability
Oppenheimer Strategic Income has insignificant predictability. Overlapping area represents the amount of predictability between Oppenheimer Strategic time series from 1st of May 2023 to 28th of October 2023 and 28th of October 2023 to 25th 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 Strategic price movement. The serial correlation of 0.11 indicates that less than 11.0% of current Oppenheimer Strategic price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.11 | |
| Spearman Rank Test | -0.28 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Oppenheimer Strategic lagged returns against current returns
Autocorrelation, which is Oppenheimer Strategic 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 Strategic's mutual fund expected returns. We can calculate the autocorrelation of Oppenheimer Strategic returns to help us make a trade decision. For example, suppose you find that Oppenheimer Strategic 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 Strategic 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 Strategic mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Oppenheimer Strategic 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 Strategic mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Oppenheimer Strategic Lagged Returns
When evaluating Oppenheimer Strategic's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Oppenheimer Strategic mutual fund have on its future price. Oppenheimer Strategic 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 Strategic autocorrelation shows the relationship between Oppenheimer Strategic mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Oppenheimer Strategic Income.
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 Strategic 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 Strategic's short interest history, or implied volatility extrapolated from Oppenheimer Strategic options trading.
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Oppenheimer Strategic 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.