Alpscorecommodity Management Pletecommodities Fund Market Value
| JCCSX Fund | USD 7.46 0.02 0.27% |
| Symbol | Alps/corecommodity |
Alps/corecommodity '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 Alps/corecommodity'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 Alps/corecommodity.
| 01/27/2025 |
| 02/26/2025 |
If you would invest 0.00 in Alps/corecommodity on January 27, 2025 and sell it all today you would earn a total of 0.00 from holding Alpscorecommodity Management Pletecommodities or generate 0.0% return on investment in Alps/corecommodity over 30 days. Alps/corecommodity is related to or competes with Lord Abbett, Fidelity Advisor, Delaware Limited-term, American Century, Fulcrum Diversified, Wilmington Diversified, and Harbor Diversified. The fund seeks to achieve its investment objective by investing, under normal circumstances, directly or indirectly in a... More
Alps/corecommodity 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 Alps/corecommodity'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 Alpscorecommodity Management Pletecommodities upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.6947 | |||
| Information Ratio | 0.1027 | |||
| Maximum Drawdown | 3.17 | |||
| Value At Risk | (1.17) | |||
| Potential Upside | 1.23 |
Alps/corecommodity Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Alps/corecommodity's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Alps/corecommodity's standard deviation. In reality, there are many statistical measures that can use Alps/corecommodity historical prices to predict the future Alps/corecommodity's volatility.| Risk Adjusted Performance | 0.0785 | |||
| Jensen Alpha | 0.063 | |||
| Total Risk Alpha | 0.0688 | |||
| Sortino Ratio | 0.0998 | |||
| Treynor Ratio | 2.03 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Alps/corecommodity'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.
Alps/corecommodity Backtested Returns
At this stage we consider Alps/corecommodity Mutual Fund to be very steady. Alps/corecommodity secures Sharpe Ratio (or Efficiency) of 0.11, which signifies that the fund had a 0.11 % return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for Alpscorecommodity Management Pletecommodities, which you can use to evaluate the volatility of the entity. Please confirm Alps/corecommodity's Risk Adjusted Performance of 0.0785, downside deviation of 0.6947, and Mean Deviation of 0.5184 to double-check if the risk estimate we provide is consistent with the expected return of 0.0728%. The fund shows a Beta (market volatility) of 0.0309, which signifies not very significant fluctuations relative to the market. As returns on the market increase, Alps/corecommodity's returns are expected to increase less than the market. However, during the bear market, the loss of holding Alps/corecommodity is expected to be smaller as well.
Auto-correlation | -0.23 |
Weak reverse predictability
Alpscorecommodity Management Pletecommodities has weak reverse predictability. Overlapping area represents the amount of predictability between Alps/corecommodity time series from 27th of January 2025 to 11th of February 2025 and 11th of February 2025 to 26th of February 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 Alps/corecommodity price movement. The serial correlation of -0.23 indicates that over 23.0% of current Alps/corecommodity price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.23 | |
| Spearman Rank Test | -0.16 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Alps/corecommodity lagged returns against current returns
Autocorrelation, which is Alps/corecommodity 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 Alps/corecommodity's mutual fund expected returns. We can calculate the autocorrelation of Alps/corecommodity returns to help us make a trade decision. For example, suppose you find that Alps/corecommodity 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 |
Alps/corecommodity 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 Alps/corecommodity mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Alps/corecommodity mutual fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Alps/corecommodity mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Alps/corecommodity Lagged Returns
When evaluating Alps/corecommodity's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Alps/corecommodity mutual fund have on its future price. Alps/corecommodity 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, Alps/corecommodity autocorrelation shows the relationship between Alps/corecommodity mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Alpscorecommodity Management Pletecommodities.
Regressed Prices |
| Timeline |
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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 Alps/corecommodity Mutual Fund
Alps/corecommodity financial ratios help investors to determine whether Alps/corecommodity 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 Alps/corecommodity with respect to the benefits of owning Alps/corecommodity security.
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