High Income Fund Market Value
| URHIX Fund | USD 6.85 0.01 0.15% |
| Symbol | High |
High Income '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 High Income'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 High Income.
| 02/05/2024 |
| 12/31/2024 |
If you would invest 0.00 in High Income on February 5, 2024 and sell it all today you would earn a total of 0.00 from holding High Income Fund or generate 0.0% return on investment in High Income over 330 days. High Income is related to or competes with Cardinal Small, Ab Small, Qs Us, Touchstone Small, Ab Small, Tax-managed, and Wasatch Small. The fund primarily invests its assets in a broad range of U.S More
High Income 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 High Income'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 High Income Fund upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.13) | |||
| Maximum Drawdown | 1.3 | |||
| Value At Risk | (0.29) | |||
| Potential Upside | 0.1451 |
High Income Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for High Income's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as High Income's standard deviation. In reality, there are many statistical measures that can use High Income historical prices to predict the future High Income's volatility.| Risk Adjusted Performance | (0.09) | |||
| Jensen Alpha | (0.02) | |||
| Total Risk Alpha | (0.02) | |||
| Treynor Ratio | 4.61 |
High Income Fund Backtested Returns
High Income Fund holds Efficiency (Sharpe) Ratio of -0.0851, which attests that the entity had a -0.0851% return per unit of risk over the last 3 months. High Income Fund exposes twenty-two different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check out High Income's Standard Deviation of 0.1892, market risk adjusted performance of 4.62, and Risk Adjusted Performance of (0.09) to validate the risk estimate we provide. The fund retains a Market Volatility (i.e., Beta) of -0.005, which attests to not very significant fluctuations relative to the market. As returns on the market increase, returns on owning High Income are expected to decrease at a much lower rate. During the bear market, High Income is likely to outperform the market.
Auto-correlation | 0.36 |
Below average predictability
High Income Fund has below average predictability. Overlapping area represents the amount of predictability between High Income time series from 5th of February 2024 to 19th of July 2024 and 19th of July 2024 to 31st 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 High Income Fund price movement. The serial correlation of 0.36 indicates that just about 36.0% of current High Income price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.36 | |
| Spearman Rank Test | 0.61 | |
| Residual Average | 0.0 | |
| Price Variance | 0.01 |
High Income Fund lagged returns against current returns
Autocorrelation, which is High Income 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 High Income's mutual fund expected returns. We can calculate the autocorrelation of High Income returns to help us make a trade decision. For example, suppose you find that High Income 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 |
High Income 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 High Income mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if High Income mutual fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in High Income mutual fund over time.
Current vs Lagged Prices |
| Timeline |
High Income Lagged Returns
When evaluating High Income's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of High Income mutual fund have on its future price. High Income 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, High Income autocorrelation shows the relationship between High Income mutual fund current value and its past values and can show if there is a momentum factor associated with investing in High Income Fund.
Regressed Prices |
| Timeline |
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Other Information on Investing in High Mutual Fund
High Income financial ratios help investors to determine whether High 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 High with respect to the benefits of owning High Income security.
| Instant Ratings Determine any equity ratings based on digital recommendations. Macroaxis instant equity ratings are based on combination of fundamental analysis and risk-adjusted market performance | |
| Commodity Channel Use Commodity Channel Index to analyze current equity momentum |