Classic Value Fund Market Value
| JCVIX Fund | USD 25.28 0.42 1.63% |
| Symbol | Classic |
Classic Value '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 Classic Value'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 Classic Value.
| 04/26/2025 |
| 07/25/2025 |
If you would invest 0.00 in Classic Value on April 26, 2025 and sell it all today you would earn a total of 0.00 from holding Classic Value Fund or generate 0.0% return on investment in Classic Value over 90 days. Classic Value is related to or competes with Transamerica Emerging, Pace International, Rbc Emerging, Jp Morgan, Pnc Emerging, and Doubleline Emerging. The fund normally invests at least 80 percent of its net assets in domestic equity securities More
Classic Value 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 Classic Value'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 Classic Value Fund upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.9559 | |||
| Information Ratio | 0.0053 | |||
| Maximum Drawdown | 5.49 | |||
| Value At Risk | (1.62) | |||
| Potential Upside | 1.92 |
Classic Value Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Classic Value's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Classic Value's standard deviation. In reality, there are many statistical measures that can use Classic Value historical prices to predict the future Classic Value's volatility.| Risk Adjusted Performance | 0.1976 | |||
| Jensen Alpha | (0.03) | |||
| Total Risk Alpha | (0.06) | |||
| Sortino Ratio | 0.0059 | |||
| Treynor Ratio | 0.2094 |
Classic Value Backtested Returns
At this stage we consider Classic Mutual Fund to be very steady. Classic Value secures Sharpe Ratio (or Efficiency) of 0.17, which signifies that the fund had a 0.17 % return per unit of standard deviation over the last 3 months. We have found twenty-eight technical indicators for Classic Value Fund, which you can use to evaluate the volatility of the entity. Please confirm Classic Value's risk adjusted performance of 0.1976, and Mean Deviation of 0.814 to double-check if the risk estimate we provide is consistent with the expected return of 0.17%. The fund shows a Beta (market volatility) of 1.14, which signifies a somewhat significant risk relative to the market. Classic Value returns are very sensitive to returns on the market. As the market goes up or down, Classic Value is expected to follow.
Auto-correlation | 0.68 |
Good predictability
Classic Value Fund has good predictability. Overlapping area represents the amount of predictability between Classic Value time series from 26th of April 2025 to 10th of June 2025 and 10th of June 2025 to 25th of July 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 Classic Value price movement. The serial correlation of 0.68 indicates that around 68.0% of current Classic Value price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.68 | |
| Spearman Rank Test | 0.64 | |
| Residual Average | 0.0 | |
| Price Variance | 0.2 |
Classic Value lagged returns against current returns
Autocorrelation, which is Classic Value 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 Classic Value's mutual fund expected returns. We can calculate the autocorrelation of Classic Value returns to help us make a trade decision. For example, suppose you find that Classic Value 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 |
Classic Value 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 Classic Value mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Classic Value mutual fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Classic Value mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Classic Value Lagged Returns
When evaluating Classic Value's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Classic Value mutual fund have on its future price. Classic Value 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, Classic Value autocorrelation shows the relationship between Classic Value mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Classic Value Fund.
Regressed Prices |
| Timeline |
Also Currently Popular
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| EGY | Vaalco Energy | |
| CMCSA | Comcast Corp |
Other Information on Investing in Classic Mutual Fund
Classic Value financial ratios help investors to determine whether Classic 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 Classic with respect to the benefits of owning Classic Value security.
| Watchlist Optimization Optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm | |
| Portfolio Rebalancing Analyze risk-adjusted returns against different time horizons to find asset-allocation targets | |
| Sectors List of equity sectors categorizing publicly traded companies based on their primary business activities | |
| Efficient Frontier Plot and analyze your portfolio and positions against risk-return landscape of the market. |