Oppenheimer Mutual Fund Market Value
| OSCNX Fund | USD 17.88 0.32 1.76% |
| 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.
| 08/23/2023 |
| 09/22/2023 |
If you would invest 0.00 in Oppenheimer Main on August 23, 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 30 days. Oppenheimer Main is related to or competes with VANGUARD SMALL, VANGUARD SMALL, VANGUARD SMALL, US SMALL, T ROWE, 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.
| Information Ratio | (0.044023) | |||
| Maximum Drawdown | 3.69 | |||
| Value At Risk | (1.47) | |||
| Potential Upside | 1.39 |
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 | (0.02532) | |||
| Jensen Alpha | (0.035812) | |||
| Total Risk Alpha | (0.033171) | |||
| Treynor Ratio | (0.041088) |
Sophisticated investors, who have witnessed many market ups and downs, frequently view 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. Please use the tools below to analyze the current value of Oppenheimer Main in the context of predictive analytics.
Oppenheimer Main Street Backtested Returns
Oppenheimer Main Street maintains Sharpe Ratio (i.e., Efficiency) of -0.0184, which implies the entity had -0.0184% of return per unit of risk over the last 3 months. Our standpoint towards forecasting the risk of any fund is to look at both systematic and unsystematic factors of the business, including all available market data and technical indicators. Oppenheimer Main Street exposes fifteen different technical indicators, which can help you to evaluate volatility embedded in its stock price that cannot be diversified away. Please check Oppenheimer Main Street Risk Adjusted Performance of (0.02532), coefficient of variation of (2,121), and Variance of 0.793 to confirm the risk estimate we provide. The fund holds a Beta of 1.2652, 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. Even though it is essential to pay attention to Oppenheimer Main Street current trending patterns, it is always good to be careful when utilizing equity existing price patterns. Our philosophy towards forecasting any fund's future performance is to check both, its past performance charts as well as the business as a whole, including all available technical indicators. Oppenheimer Main Street exposes fifteen different technical indicators, which can help you to evaluate its performance.
Auto-correlation | 0.27 |
Poor predictability
Oppenheimer Main Street has poor predictability. Overlapping area represents the amount of predictability between Oppenheimer Main time series from 23rd of August 2023 to 7th of September 2023 and 7th of September 2023 to 22nd of September 2023. 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 0.27 indicates that nearly 27.0% of current Oppenheimer Main price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.27 | |
| Spearman Rank Test | -0.3 | |
| Residual Average | 0.0 | |
| Price Variance | 0.04 |
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 mutual fund has exhibited high autocorrelation historically, and you observe that the stock is moving up for the past few days. In that case, you can expect the stock 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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Align your risk with return expectations
Check out Oppenheimer Main Correlation, Oppenheimer Main Volatility and Oppenheimer Main Alpha and Beta module to complement your research on Oppenheimer Main. You can also try the Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
Complementary Tools for Oppenheimer Mutual Fund analysis
When running Oppenheimer Main's price analysis, check to measure Oppenheimer Main's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Oppenheimer Main is operating at the current time. Most of Oppenheimer Main's value examination focuses on studying past and present price action to predict the probability of Oppenheimer Main's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Oppenheimer Main's price. Additionally, you may evaluate how the addition of Oppenheimer Main to your portfolios can decrease your overall portfolio volatility.
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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.