Hcm Dynamic Income Fund Market Value
| HCMUX Fund | 9.97 0.04 0.40% |
| Symbol | Hcm |
Hcm Dynamic '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 Hcm Dynamic'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 Hcm Dynamic.
| 11/19/2024 |
| 01/18/2025 |
If you would invest 0.00 in Hcm Dynamic on November 19, 2024 and sell it all today you would earn a total of 0.00 from holding Hcm Dynamic Income or generate 0.0% return on investment in Hcm Dynamic over 60 days. Hcm Dynamic is related to or competes with Hcm Dividend, Hcm Dividend, Hcm Tactical, Hcm Dividend, Hcm Dividend, and Hcm Dynamic. The fund seeks to achieve its investment objective through investments in long andor short positions in fixed income sec... More
Hcm Dynamic 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 Hcm Dynamic'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 Hcm Dynamic Income upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.4923 | |||
| Information Ratio | (0.01) | |||
| Maximum Drawdown | 2.39 | |||
| Value At Risk | (0.69) | |||
| Potential Upside | 0.6986 |
Hcm Dynamic Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Hcm Dynamic's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Hcm Dynamic's standard deviation. In reality, there are many statistical measures that can use Hcm Dynamic historical prices to predict the future Hcm Dynamic's volatility.| Risk Adjusted Performance | 0.0425 | |||
| Jensen Alpha | 0.0144 | |||
| Total Risk Alpha | 0.0067 | |||
| Sortino Ratio | (0.01) | |||
| Treynor Ratio | 0.1292 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Hcm Dynamic'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.
Hcm Dynamic Income Backtested Returns
At this stage we consider Hcm Mutual Fund to be very steady. Hcm Dynamic Income holds Efficiency (Sharpe) Ratio of 0.072, which attests that the entity had a 0.072% return per unit of risk over the last 3 months. We have found twenty-seven technical indicators for Hcm Dynamic Income, which you can use to evaluate the volatility of the entity. Please check out Hcm Dynamic's Risk Adjusted Performance of 0.0425, downside deviation of 0.4923, and Market Risk Adjusted Performance of 0.1392 to validate if the risk estimate we provide is consistent with the expected return of 0.032%. The fund retains a Market Volatility (i.e., Beta) of 0.13, which attests to not very significant fluctuations relative to the market. As returns on the market increase, Hcm Dynamic's returns are expected to increase less than the market. However, during the bear market, the loss of holding Hcm Dynamic is expected to be smaller as well.
Auto-correlation | -0.15 |
Insignificant reverse predictability
Hcm Dynamic Income has insignificant reverse predictability. Overlapping area represents the amount of predictability between Hcm Dynamic time series from 19th of November 2024 to 19th of December 2024 and 19th of December 2024 to 18th 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 Hcm Dynamic Income price movement. The serial correlation of -0.15 indicates that less than 15.0% of current Hcm Dynamic price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.15 | |
| Spearman Rank Test | 0.15 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Hcm Dynamic Income lagged returns against current returns
Autocorrelation, which is Hcm Dynamic 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 Hcm Dynamic's mutual fund expected returns. We can calculate the autocorrelation of Hcm Dynamic returns to help us make a trade decision. For example, suppose you find that Hcm Dynamic 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 |
Hcm Dynamic 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 Hcm Dynamic mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Hcm Dynamic mutual fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Hcm Dynamic mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Hcm Dynamic Lagged Returns
When evaluating Hcm Dynamic's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Hcm Dynamic mutual fund have on its future price. Hcm Dynamic 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, Hcm Dynamic autocorrelation shows the relationship between Hcm Dynamic mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Hcm Dynamic Income.
Regressed Prices |
| Timeline |
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Other Information on Investing in Hcm Mutual Fund
Hcm Dynamic financial ratios help investors to determine whether Hcm 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 Hcm with respect to the benefits of owning Hcm Dynamic security.
| Bollinger Bands Use Bollinger Bands indicator to analyze target price for a given investing horizon | |
| Alpha Finder Use alpha and beta coefficients to find investment opportunities after accounting for the risk |