High Yield Fund C Fund Market Value
| AHDCX Fund | USD 5.13 0.01 0.20% |
| Symbol | High-yield |
High-yield Fund '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-yield Fund'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-yield Fund.
| 10/30/2024 |
| 11/29/2024 |
If you would invest 0.00 in High-yield Fund on October 30, 2024 and sell it all today you would earn a total of 0.00 from holding High Yield Fund C or generate 0.0% return on investment in High-yield Fund over 30 days. High-yield Fund is related to or competes with Vanguard High-yield, Vanguard High-yield, Blackrock, Blackrock High, Blackrock, Blackrock High, and American Funds. The portfolio managers will maintain at least 80 percent of the funds net assets in high-yield corporate bonds and other... More
High-yield Fund 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-yield Fund'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 Yield Fund C upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.2696 | |||
| Information Ratio | (0.63) | |||
| Maximum Drawdown | 0.7859 | |||
| Value At Risk | (0.20) | |||
| Potential Upside | 0.3899 |
High-yield Fund Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for High-yield Fund's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as High-yield Fund's standard deviation. In reality, there are many statistical measures that can use High-yield Fund historical prices to predict the future High-yield Fund's volatility.| Risk Adjusted Performance | 0.0458 | |||
| Jensen Alpha | 4.0E-4 | |||
| Total Risk Alpha | (0.02) | |||
| Sortino Ratio | (0.40) | |||
| Treynor Ratio | 0.1217 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of High-yield Fund'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 Yield Fund Backtested Returns
At this stage we consider High-yield Mutual Fund to be very steady. High Yield Fund holds Efficiency (Sharpe) Ratio of 0.0992, which attests that the entity had a 0.0992% return per unit of risk over the last 3 months. We have found twenty-seven technical indicators for High Yield Fund, which you can use to evaluate the volatility of the entity. Please check out High-yield Fund's Coefficient Of Variation of 948.93, risk adjusted performance of 0.0458, and Market Risk Adjusted Performance of 0.1317 to validate if the risk estimate we provide is consistent with the expected return of 0.0157%. The fund retains a Market Volatility (i.e., Beta) of 0.0655, which attests to not very significant fluctuations relative to the market. As returns on the market increase, High-yield Fund's returns are expected to increase less than the market. However, during the bear market, the loss of holding High-yield Fund is expected to be smaller as well.
Auto-correlation | 0.57 |
Modest predictability
High Yield Fund C has modest predictability. Overlapping area represents the amount of predictability between High-yield Fund time series from 30th of October 2024 to 14th of November 2024 and 14th of November 2024 to 29th 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 High Yield Fund price movement. The serial correlation of 0.57 indicates that roughly 57.0% of current High-yield Fund price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.57 | |
| Spearman Rank Test | 0.85 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
High Yield Fund lagged returns against current returns
Autocorrelation, which is High-yield Fund 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-yield Fund's mutual fund expected returns. We can calculate the autocorrelation of High-yield Fund returns to help us make a trade decision. For example, suppose you find that High-yield Fund 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-yield Fund 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-yield Fund mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if High-yield Fund 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-yield Fund mutual fund over time.
Current vs Lagged Prices |
| Timeline |
High-yield Fund Lagged Returns
When evaluating High-yield Fund's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of High-yield Fund mutual fund have on its future price. High-yield Fund 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-yield Fund autocorrelation shows the relationship between High-yield Fund mutual fund current value and its past values and can show if there is a momentum factor associated with investing in High Yield Fund C.
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 High-yield Mutual Fund
High-yield Fund financial ratios help investors to determine whether High-yield 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-yield with respect to the benefits of owning High-yield Fund security.
| Equity Forecasting Use basic forecasting models to generate price predictions and determine price momentum | |
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