High Yield Fund R5 Fund Market Value
| ACYIX Fund | USD 4.95 0.02 0.40% |
| Symbol | High |
High Yield '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'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.
| 02/16/2024 |
| 04/16/2024 |
If you would invest 0.00 in High Yield on February 16, 2024 and sell it all today you would earn a total of 0.00 from holding High Yield Fund R5 or generate 0.0% return on investment in High Yield over 60 days. High Yield is related to or competes with Mid Cap, Equity Growth, Income Growth, Diversified Bond, Emerging Markets, Short Term, and Ultra Fund. The portfolio managers will maintain at least 80 percent of the funds net assets in high-yield corporate bonds and other... More
High Yield 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'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 R5 upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.334 | |||
| Information Ratio | (0.23) | |||
| Maximum Drawdown | 1.2 | |||
| Value At Risk | (0.40) | |||
| Potential Upside | 0.4024 |
High Yield Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for High Yield's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as High Yield's standard deviation. In reality, there are many statistical measures that can use High Yield historical prices to predict the future High Yield's volatility.| Risk Adjusted Performance | 7.0E-4 | |||
| Jensen Alpha | (0.01) | |||
| Total Risk Alpha | (0.02) | |||
| Sortino Ratio | (0.17) | |||
| Treynor Ratio | (0.05) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of High Yield'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
We consider High Yield very steady. High Yield Fund holds Efficiency (Sharpe) Ratio of 0.0146, which attests that the entity had a 0.0146% 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's Market Risk Adjusted Performance of (0.04), risk adjusted performance of 7.0E-4, and Downside Deviation of 0.334 to validate if the risk estimate we provide is consistent with the expected return of 0.0035%. The fund retains a Market Volatility (i.e., Beta) of 0.0743, which attests to not very significant fluctuations relative to the market. As returns on the market increase, High Yield's returns are expected to increase less than the market. However, during the bear market, the loss of holding High Yield is expected to be smaller as well.
Auto-correlation | -0.34 |
Poor reverse predictability
High Yield Fund R5 has poor reverse predictability. Overlapping area represents the amount of predictability between High Yield time series from 16th of February 2024 to 17th of March 2024 and 17th of March 2024 to 16th of April 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 -0.34 indicates that nearly 34.0% of current High Yield price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.34 | |
| Spearman Rank Test | -0.36 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
High Yield Fund lagged returns against current returns
Autocorrelation, which is High Yield 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's mutual fund expected returns. We can calculate the autocorrelation of High Yield returns to help us make a trade decision. For example, suppose you find that High Yield 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 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 mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if High Yield 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 mutual fund over time.
Current vs Lagged Prices |
| Timeline |
High Yield Lagged Returns
When evaluating High Yield's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of High Yield mutual fund have on its future price. High Yield 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 autocorrelation shows the relationship between High Yield mutual fund current value and its past values and can show if there is a momentum factor associated with investing in High Yield Fund R5.
Regressed Prices |
| Timeline |
Pair Trading with High Yield
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if High Yield position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in High Yield will appreciate offsetting losses from the drop in the long position's value.Moving together with High Mutual Fund
| 0.82 | AMDVX | Mid Cap Value | PairCorr |
| 0.75 | AMEIX | Equity Growth | PairCorr |
| 0.81 | AMGIX | Income Growth | PairCorr |
| 0.68 | AMKIX | Emerging Markets | PairCorr |
The ability to find closely correlated positions to High Yield could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace High Yield when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back High Yield - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling High Yield Fund R5 to buy it.
The correlation of High Yield is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as High Yield moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if High Yield Fund moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for High Yield can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.Check out High Yield Correlation, High Yield Volatility and High Yield Alpha and Beta module to complement your research on High Yield. You can also try the Portfolio Anywhere module to track or share privately all of your investments from the convenience of any device.
High Yield 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.