High Income Fund Market Value
UHYOX Fund | USD 6.88 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.
02/27/2024 |
| 03/28/2024 |
If you would invest 0.00 in High Income on February 27, 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 30 days. High Income is related to or competes with Vanguard High-yield, Blackrock, Blackrock, Blackrock High, American Funds, American Funds, and American High. 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.
Downside Deviation | 0.2789 | |||
Information Ratio | (0.60) | |||
Maximum Drawdown | 0.7364 | |||
Value At Risk | (0.44) | |||
Potential Upside | 0.2946 |
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 | 0.0326 | |||
Jensen Alpha | 0.0117 | |||
Total Risk Alpha | (0.04) | |||
Sortino Ratio | (0.42) | |||
Treynor Ratio | (0.26) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of High Income'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.
High Income Fund Backtested Returns
We consider High Income very steady. High Income Fund holds Efficiency (Sharpe) Ratio of 0.0535, which attests that the entity had a 0.0535% return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for High Income Fund, which you can use to evaluate the volatility of the entity. Please check out High Income's Downside Deviation of 0.2789, risk adjusted performance of 0.0326, and Market Risk Adjusted Performance of (0.25) to validate if the risk estimate we provide is consistent with the expected return of 0.0122%. The fund retains a Market Volatility (i.e., Beta) of -0.0306, 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 | 0.21 |
Weak predictability
High Income Fund has weak predictability. Overlapping area represents the amount of predictability between High Income time series from 27th of February 2024 to 13th of March 2024 and 13th of March 2024 to 28th of March 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 0.21 indicates that over 21.0% of current High Income price fluctuation can be explain by its past prices.
Correlation Coefficient | 0.21 | |
Spearman Rank Test | 0.27 | |
Residual Average | 0.0 | |
Price Variance | 0.0 |
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 |
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards High Income in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, High Income's short interest history, or implied volatility extrapolated from High Income options trading.
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Check out High Income Correlation, High Income Volatility and High Income Alpha and Beta module to complement your research on High Income. You can also try the Money Managers module to screen money managers from public funds and ETFs managed around the world.
Complementary Tools for High Mutual Fund analysis
When running High Income's price analysis, check to measure High Income's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy High Income is operating at the current time. Most of High Income's value examination focuses on studying past and present price action to predict the probability of High Income's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move High Income's price. Additionally, you may evaluate how the addition of High Income to your portfolios can decrease your overall portfolio volatility.
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High Income technical mutual fund analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, fund market cycles, or different charting patterns.