Optimum Large Cap Fund Market Value
| OCLGX Fund | USD 13.44 0.15 1.10% |
| Symbol | Optimum |
Optimum Large '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 Optimum Large'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 Optimum Large.
| 12/20/2024 |
| 01/19/2025 |
If you would invest 0.00 in Optimum Large on December 20, 2024 and sell it all today you would earn a total of 0.00 from holding Optimum Large Cap or generate 0.0% return on investment in Optimum Large over 30 days. Optimum Large is related to or competes with Financial Industries, Financials Ultrasector, Rmb Mendon, Vanguard Financials, and Mesirow Financial. The fund will invest at least 80 percent of its net assets, plus the amount of any borrowings for investment purposes, i... More
Optimum Large 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 Optimum Large'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 Optimum Large Cap upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.09) | |||
| Maximum Drawdown | 14.44 | |||
| Value At Risk | (2.15) | |||
| Potential Upside | 1.59 |
Optimum Large Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Optimum Large's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Optimum Large's standard deviation. In reality, there are many statistical measures that can use Optimum Large historical prices to predict the future Optimum Large's volatility.| Risk Adjusted Performance | (0.05) | |||
| Jensen Alpha | (0.14) | |||
| Total Risk Alpha | (0.18) | |||
| Treynor Ratio | (5.53) |
Optimum Large Cap Backtested Returns
Optimum Large Cap maintains Sharpe Ratio (i.e., Efficiency) of -0.0817, which implies the entity had a -0.0817% return per unit of risk over the last 3 months. Optimum Large Cap exposes twenty-one different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check Optimum Large's Risk Adjusted Performance of (0.05), variance of 3.35, and Coefficient Of Variation of (1,402) to confirm the risk estimate we provide. The fund holds a Beta of 0.0254, which implies not very significant fluctuations relative to the market. As returns on the market increase, Optimum Large's returns are expected to increase less than the market. However, during the bear market, the loss of holding Optimum Large is expected to be smaller as well.
Auto-correlation | -0.04 |
Very weak reverse predictability
Optimum Large Cap has very weak reverse predictability. Overlapping area represents the amount of predictability between Optimum Large time series from 20th of December 2024 to 4th of January 2025 and 4th of January 2025 to 19th 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 Optimum Large Cap price movement. The serial correlation of -0.04 indicates that only as little as 4.0% of current Optimum Large price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.04 | |
| Spearman Rank Test | -0.25 | |
| Residual Average | 0.0 | |
| Price Variance | 0.03 |
Optimum Large Cap lagged returns against current returns
Autocorrelation, which is Optimum Large 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 Optimum Large's mutual fund expected returns. We can calculate the autocorrelation of Optimum Large returns to help us make a trade decision. For example, suppose you find that Optimum Large 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 |
Optimum Large 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 Optimum Large mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Optimum Large mutual fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Optimum Large mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Optimum Large Lagged Returns
When evaluating Optimum Large's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Optimum Large mutual fund have on its future price. Optimum Large 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, Optimum Large autocorrelation shows the relationship between Optimum Large mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Optimum Large Cap.
Regressed Prices |
| Timeline |
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Other Information on Investing in Optimum Mutual Fund
Optimum Large financial ratios help investors to determine whether Optimum 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 Optimum with respect to the benefits of owning Optimum Large security.
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