Oppenheimer Capital Appreciation Fund Market Value
OTCYX Fund | USD 82.91 0.48 0.58% |
Symbol | Oppenheimer |
Oppenheimer Capital '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 Capital'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 Capital.
03/20/2024 |
| 04/19/2024 |
If you would invest 0.00 in Oppenheimer Capital on March 20, 2024 and sell it all today you would earn a total of 0.00 from holding Oppenheimer Capital Appreciation or generate 0.0% return on investment in Oppenheimer Capital over 30 days. Oppenheimer Capital is related to or competes with Oppenheimer Main, Oppenheimer Intl, Oppenheimer Main, Oppenheimer Global, Oppenheimer Strat, Oppenheimer Strategic, and Oppenheimer Intl. The fund mainly invests in common stocks of growth companies More
Oppenheimer Capital 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 Capital'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 Capital Appreciation upside and downside potential and time the market with a certain degree of confidence.
Downside Deviation | 0.9343 | |||
Information Ratio | 0.058 | |||
Maximum Drawdown | 5.51 | |||
Value At Risk | (1.54) | |||
Potential Upside | 1.96 |
Oppenheimer Capital Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Oppenheimer Capital's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Oppenheimer Capital's standard deviation. In reality, there are many statistical measures that can use Oppenheimer Capital historical prices to predict the future Oppenheimer Capital's volatility.Risk Adjusted Performance | 0.0775 | |||
Jensen Alpha | 0.054 | |||
Total Risk Alpha | 0.0165 | |||
Sortino Ratio | 0.071 | |||
Treynor Ratio | 0.1032 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Oppenheimer Capital'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 Capital Backtested Returns
We consider Oppenheimer Capital very steady. Oppenheimer Capital maintains Sharpe Ratio (i.e., Efficiency) of 0.0868, which implies the entity had a 0.0868% return per unit of risk over the last 3 months. We have found twenty-seven technical indicators for Oppenheimer Capital, which you can use to evaluate the volatility of the fund. Please check Oppenheimer Capital's Semi Deviation of 0.7753, risk adjusted performance of 0.0775, and Coefficient Of Variation of 847.48 to confirm if the risk estimate we provide is consistent with the expected return of 0.0993%. The fund holds a Beta of 1.21, 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 Capital will likely underperform.
Auto-correlation | 0.78 |
Good predictability
Oppenheimer Capital Appreciation has good predictability. Overlapping area represents the amount of predictability between Oppenheimer Capital 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 Capital price movement. The serial correlation of 0.78 indicates that around 78.0% of current Oppenheimer Capital price fluctuation can be explain by its past prices.
Correlation Coefficient | 0.78 | |
Spearman Rank Test | 0.75 | |
Residual Average | 0.0 | |
Price Variance | 1.81 |
Oppenheimer Capital lagged returns against current returns
Autocorrelation, which is Oppenheimer Capital 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 Capital's mutual fund expected returns. We can calculate the autocorrelation of Oppenheimer Capital returns to help us make a trade decision. For example, suppose you find that Oppenheimer Capital 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 Capital 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 Capital mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Oppenheimer Capital 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 Capital mutual fund over time.
Current vs Lagged Prices |
Timeline |
Oppenheimer Capital Lagged Returns
When evaluating Oppenheimer Capital's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Oppenheimer Capital mutual fund have on its future price. Oppenheimer Capital 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 Capital autocorrelation shows the relationship between Oppenheimer Capital mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Oppenheimer Capital Appreciation.
Regressed Prices |
Timeline |
Building efficient market-beating portfolios requires time, education, and a lot of computing power!
The Portfolio Architect is an AI-driven system that provides multiple benefits to our users by leveraging cutting-edge machine learning algorithms, statistical analysis, and predictive modeling to automate the process of asset selection and portfolio construction, saving time and reducing human error for individual and institutional investors.
Try AI Portfolio ArchitectCheck out Oppenheimer Capital Correlation, Oppenheimer Capital Volatility and Oppenheimer Capital Alpha and Beta module to complement your research on Oppenheimer Capital. You can also try the Economic Indicators module to top statistical indicators that provide insights into how an economy is performing.
Oppenheimer Capital 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.