Oppenheimer Rochester Ltdterm Fund Market Value
| LTNCX Fund | USD 2.78 0.01 0.36% |
| Symbol | Oppenheimer |
Oppenheimer Rochester '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 Rochester'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 Rochester.
| 12/02/2024 |
| 01/01/2025 |
If you would invest 0.00 in Oppenheimer Rochester on December 2, 2024 and sell it all today you would earn a total of 0.00 from holding Oppenheimer Rochester Ltdterm or generate 0.0% return on investment in Oppenheimer Rochester over 30 days. Oppenheimer Rochester is related to or competes with Alpine High, Fidelity Capital, Pioneer High, Dunham High, Pia High, Inverse High, and Multi-manager High. The fund invests at least 80 percent of its net assets in securities the income from which, in the opinion of counsel to... More
Oppenheimer Rochester 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 Rochester'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 Rochester Ltdterm upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.09) | |||
| Maximum Drawdown | 1.08 | |||
| Value At Risk | (0.36) | |||
| Potential Upside | 0.361 |
Oppenheimer Rochester Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Oppenheimer Rochester's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Oppenheimer Rochester's standard deviation. In reality, there are many statistical measures that can use Oppenheimer Rochester historical prices to predict the future Oppenheimer Rochester's volatility.| Risk Adjusted Performance | (0.06) | |||
| Jensen Alpha | (0.02) | |||
| Total Risk Alpha | (0.02) | |||
| Treynor Ratio | (0.65) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Oppenheimer Rochester'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 Rochester Backtested Returns
Oppenheimer Rochester maintains Sharpe Ratio (i.e., Efficiency) of -0.0684, which implies the entity had a -0.0684% return per unit of risk over the last 3 months. Oppenheimer Rochester exposes twenty-two different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check Oppenheimer Rochester's Risk Adjusted Performance of (0.06), variance of 0.0593, and Coefficient Of Variation of (2,303) to confirm the risk estimate we provide. The fund holds a Beta of 0.0316, which implies not very significant fluctuations relative to the market. As returns on the market increase, Oppenheimer Rochester's returns are expected to increase less than the market. However, during the bear market, the loss of holding Oppenheimer Rochester is expected to be smaller as well.
Auto-correlation | -0.08 |
Very weak reverse predictability
Oppenheimer Rochester Ltdterm has very weak reverse predictability. Overlapping area represents the amount of predictability between Oppenheimer Rochester time series from 2nd of December 2024 to 17th of December 2024 and 17th of December 2024 to 1st of January 2025. 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 Rochester price movement. The serial correlation of -0.08 indicates that barely 8.0% of current Oppenheimer Rochester price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.08 | |
| Spearman Rank Test | -0.45 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Oppenheimer Rochester lagged returns against current returns
Autocorrelation, which is Oppenheimer Rochester 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 Rochester's mutual fund expected returns. We can calculate the autocorrelation of Oppenheimer Rochester returns to help us make a trade decision. For example, suppose you find that Oppenheimer Rochester 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 Rochester 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 Rochester mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Oppenheimer Rochester 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 Rochester mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Oppenheimer Rochester Lagged Returns
When evaluating Oppenheimer Rochester's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Oppenheimer Rochester mutual fund have on its future price. Oppenheimer Rochester 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 Rochester autocorrelation shows the relationship between Oppenheimer Rochester mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Oppenheimer Rochester Ltdterm.
Regressed Prices |
| Timeline |
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Other Information on Investing in Oppenheimer Mutual Fund
Oppenheimer Rochester financial ratios help investors to determine whether Oppenheimer Mutual Fund is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Oppenheimer with respect to the benefits of owning Oppenheimer Rochester security.
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