High Yield Fund Market Value
| PHYTX Fund | USD 6.79 0.01 0.15% |
| 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.
| 10/31/2024 |
| 11/30/2024 |
If you would invest 0.00 in High Yield on October 31, 2024 and sell it all today you would earn a total of 0.00 from holding High Yield Fund or generate 0.0% return on investment in High Yield over 30 days. High Yield is related to or competes with Bbh Intermediate, Dreyfus/standish, Multisector Bond, T Rowe, Rational/pier, Touchstone Premium, and California Bond. The fund invests at least 80 percent of its net assets, plus any borrowings for investment purposes, in below investment... 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 upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.2091 | |||
| Information Ratio | (0.66) | |||
| Maximum Drawdown | 0.896 | |||
| Value At Risk | (0.29) | |||
| Potential Upside | 0.2981 |
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 | 0.0878 | |||
| Jensen Alpha | 0.0094 | |||
| Total Risk Alpha | (0.01) | |||
| Sortino Ratio | (0.53) | |||
| Treynor Ratio | 0.2836 |
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
At this stage we consider High Mutual Fund to be very steady. High Yield Fund holds Efficiency (Sharpe) Ratio of 0.14, which attests that the entity had a 0.14% 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 Risk Adjusted Performance of 0.0878, coefficient of variation of 620.69, and Market Risk Adjusted Performance of 0.2936 to validate if the risk estimate we provide is consistent with the expected return of 0.021%. The fund retains a Market Volatility (i.e., Beta) of 0.0605, 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 | 0.58 |
Modest predictability
High Yield Fund has modest predictability. Overlapping area represents the amount of predictability between High Yield time series from 31st of October 2024 to 15th of November 2024 and 15th of November 2024 to 30th 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 0.58 indicates that roughly 58.0% of current High Yield price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.58 | |
| Spearman Rank Test | 0.75 | |
| 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.
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 Mutual Fund
High Yield 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 Yield security.
| Headlines Timeline Stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity | |
| Analyst Advice Analyst recommendations and target price estimates broken down by several categories | |
| Efficient Frontier Plot and analyze your portfolio and positions against risk-return landscape of the market. | |
| My Watchlist Analysis Analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like |