Optimum Small Mid Cap Fund Market Value
| OISVX Fund | USD 16.81 0.02 0.12% |
| Symbol | Optimum |
Optimum Small-mid '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 Small-mid'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 Small-mid.
| 09/03/2024 |
| 12/02/2024 |
If you would invest 0.00 in Optimum Small-mid on September 3, 2024 and sell it all today you would earn a total of 0.00 from holding Optimum Small Mid Cap or generate 0.0% return on investment in Optimum Small-mid over 90 days. Optimum Small-mid is related to or competes with Jhancock Diversified, Oppenheimer International, Pgim Conservative, Evaluator Conservative, Huber Capital, Harbor Diversified, and Calvert Conservative. Under normal circumstances, the fund will invest at least 80 percent of its net assets, plus the amount of any borrowing... More
Optimum Small-mid 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 Small-mid'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 Small Mid Cap upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.8643 | |||
| Information Ratio | 0.0245 | |||
| Maximum Drawdown | 6.37 | |||
| Value At Risk | (1.45) | |||
| Potential Upside | 1.62 |
Optimum Small-mid Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Optimum Small-mid's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Optimum Small-mid's standard deviation. In reality, there are many statistical measures that can use Optimum Small-mid historical prices to predict the future Optimum Small-mid's volatility.| Risk Adjusted Performance | 0.1178 | |||
| Jensen Alpha | (0.01) | |||
| Total Risk Alpha | (0.03) | |||
| Sortino Ratio | 0.0311 | |||
| Treynor Ratio | 0.122 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Optimum Small-mid'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.
Optimum Small Mid Backtested Returns
At this stage we consider Optimum Mutual Fund to be very steady. Optimum Small Mid maintains Sharpe Ratio (i.e., Efficiency) of 0.17, which implies the entity had a 0.17% return per unit of risk over the last 3 months. We have found twenty-seven technical indicators for Optimum Small Mid, which you can use to evaluate the volatility of the fund. Please check Optimum Small-mid's Semi Deviation of 0.6851, risk adjusted performance of 0.1178, and Coefficient Of Variation of 666.28 to confirm if the risk estimate we provide is consistent with the expected return of 0.19%. The fund holds a Beta of 1.27, 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, Optimum Small-mid will likely underperform.
Auto-correlation | 0.73 |
Good predictability
Optimum Small Mid Cap has good predictability. Overlapping area represents the amount of predictability between Optimum Small-mid time series from 3rd of September 2024 to 18th of October 2024 and 18th of October 2024 to 2nd of December 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 Optimum Small Mid price movement. The serial correlation of 0.73 indicates that around 73.0% of current Optimum Small-mid price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.73 | |
| Spearman Rank Test | 0.68 | |
| Residual Average | 0.0 | |
| Price Variance | 0.24 |
Optimum Small Mid lagged returns against current returns
Autocorrelation, which is Optimum Small-mid 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 Small-mid's mutual fund expected returns. We can calculate the autocorrelation of Optimum Small-mid returns to help us make a trade decision. For example, suppose you find that Optimum Small-mid 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 Small-mid 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 Small-mid mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Optimum Small-mid 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 Small-mid mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Optimum Small-mid Lagged Returns
When evaluating Optimum Small-mid's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Optimum Small-mid mutual fund have on its future price. Optimum Small-mid 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 Small-mid autocorrelation shows the relationship between Optimum Small-mid mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Optimum Small Mid Cap.
Regressed Prices |
| Timeline |
Also Currently Popular
Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.Other Information on Investing in Optimum Mutual Fund
Optimum Small-mid 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 Small-mid security.
| Positions Ratings Determine portfolio positions ratings based on digital equity recommendations. Macroaxis instant position ratings are based on combination of fundamental analysis and risk-adjusted market performance | |
| Portfolio Volatility Check portfolio volatility and analyze historical return density to properly model market risk |