Alpscorecommodity Management Pletecommoditiessm Fund Market Value
| JCRAX Fund | USD 7.35 0.05 0.68% |
| 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.
| 10/28/2024 |
| 11/27/2024 |
If you would invest 0.00 in Alps/corecommodity on October 28, 2024 and sell it all today you would earn a total of 0.00 from holding Alpscorecommodity Management Pletecommoditiessm or generate 0.0% return on investment in Alps/corecommodity over 30 days. Alps/corecommodity is related to or competes with Blackrock Commodity, Parametric Commodity, Alps/corecommodity, Credit Suisse, and Performance Trust. The fund seeks to achieve its investment objective by investing,under normal circumstances,directly or indirectly in a combination of equity securities of natural resource companies, as commodity-related equity securities and commodity futures-linked derivative instruments thereby obtaining exposure to the commodity markets. 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 Pletecommoditiessm upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.12 | |||
| Information Ratio | (0.12) | |||
| Maximum Drawdown | 3.6 | |||
| Value At Risk | (1.61) | |||
| Potential Upside | 1.39 |
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 | 0.0248 | |||
| Jensen Alpha | 0.0139 | |||
| Total Risk Alpha | (0.12) | |||
| Sortino Ratio | (0.09) | |||
| Treynor Ratio | 0.8101 |
Alps/corecommodity Backtested Returns
At this stage we consider Alps/corecommodity Mutual Fund to be not too volatile. Alps/corecommodity secures Sharpe Ratio (or Efficiency) of 0.0274, which signifies that the fund had a 0.0274% return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for Alpscorecommodity Management Pletecommoditiessm, which you can use to evaluate the volatility of the entity. Please confirm Alps/corecommodity's Risk Adjusted Performance of 0.0248, mean deviation of 0.6469, and Downside Deviation of 1.12 to double-check if the risk estimate we provide is consistent with the expected return of 0.023%. The fund shows a Beta (market volatility) of 0.0202, 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 | 0.66 |
Good predictability
Alpscorecommodity Management Pletecommoditiessm has good predictability. Overlapping area represents the amount of predictability between Alps/corecommodity time series from 28th of October 2024 to 12th of November 2024 and 12th of November 2024 to 27th of November 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 Alps/corecommodity price movement. The serial correlation of 0.66 indicates that around 66.0% of current Alps/corecommodity price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.66 | |
| Spearman Rank Test | 0.79 | |
| Residual Average | 0.0 | |
| Price Variance | 0.01 |
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 Pletecommoditiessm.
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 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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