Oppenheimer Main Street Fund Market Value
| OSSIX Fund | USD 20.79 0.07 0.34% |
| Symbol | Oppenheimer |
Oppenheimer Main '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 Main'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 Main.
| 05/24/2023 |
| 04/18/2024 |
If you would invest 0.00 in Oppenheimer Main on May 24, 2023 and sell it all today you would earn a total of 0.00 from holding Oppenheimer Main Street or generate 0.0% return on investment in Oppenheimer Main over 330 days. Oppenheimer Main is related to or competes with Vanguard Small, Fidelity Small, T Rowe, and T Rowe. The fund normally invests at least 80 percent of its net assets, including any borrowings for investment purposes, in se... More
Oppenheimer Main 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 Main'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 Main Street upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.2 | |||
| Information Ratio | (0.01) | |||
| Maximum Drawdown | 5.0 | |||
| Value At Risk | (1.62) | |||
| Potential Upside | 1.61 |
Oppenheimer Main Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Oppenheimer Main's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Oppenheimer Main's standard deviation. In reality, there are many statistical measures that can use Oppenheimer Main historical prices to predict the future Oppenheimer Main's volatility.| Risk Adjusted Performance | 0.0272 | |||
| Jensen Alpha | (0.04) | |||
| Total Risk Alpha | (0.05) | |||
| Sortino Ratio | (0.01) | |||
| Treynor Ratio | 0.0197 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Oppenheimer Main'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 Main Street Backtested Returns
We consider Oppenheimer Main very steady. Oppenheimer Main Street maintains Sharpe Ratio (i.e., Efficiency) of 0.0252, which implies the entity had a 0.0252% return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for Oppenheimer Main Street, which you can use to evaluate the volatility of the fund. Please check Oppenheimer Main's Semi Deviation of 1.16, coefficient of variation of 2733.08, and Risk Adjusted Performance of 0.0272 to confirm if the risk estimate we provide is consistent with the expected return of 0.0273%. The fund holds a Beta of 1.5, 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 Main will likely underperform.
Auto-correlation | -0.07 |
Very weak reverse predictability
Oppenheimer Main Street has very weak reverse predictability. Overlapping area represents the amount of predictability between Oppenheimer Main time series from 24th of May 2023 to 5th of November 2023 and 5th of November 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 Main Street price movement. The serial correlation of -0.07 indicates that barely 7.0% of current Oppenheimer Main price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.07 | |
| Spearman Rank Test | -0.33 | |
| Residual Average | 0.0 | |
| Price Variance | 1.44 |
Oppenheimer Main Street lagged returns against current returns
Autocorrelation, which is Oppenheimer Main 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 Main's mutual fund expected returns. We can calculate the autocorrelation of Oppenheimer Main returns to help us make a trade decision. For example, suppose you find that Oppenheimer Main 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 Main 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 Main mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Oppenheimer Main 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 Main mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Oppenheimer Main Lagged Returns
When evaluating Oppenheimer Main's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Oppenheimer Main mutual fund have on its future price. Oppenheimer Main 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 Main autocorrelation shows the relationship between Oppenheimer Main mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Oppenheimer Main Street.
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 Main 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 Main's short interest history, or implied volatility extrapolated from Oppenheimer Main options trading.
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Oppenheimer Main 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.