# ACHFX Mutual Fund Market Value

ACHFX | Fund | ## USD 8.17 0.04 0.49% |

Symbol | ACHFX |

## 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.

10/29/2022 |
| 11/28/2022 |

If you would invest

**0.00**in High Income on**October 29, 2022**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 PGIM High, PGIM High, and American Funds. The investment seeks current yield and capital growth 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 | (0.14) | |||

Maximum Drawdown | 2.41 | |||

Value At Risk | (1.00) | |||

Potential Upside | 0.6378 |

## 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 | (0.038625) | |||

Jensen Alpha | (0.034536) | |||

Total Risk Alpha | (0.044327) | |||

Treynor Ratio | (0.08) |

Sophisticated investors, who have witnessed many market ups and downs, frequently view 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. Please use the tools below to analyze the current value of High Income in the context of predictive analytics.

Please note, it is not enough to conduct a financial or market analysis of a single entity such as High Income. Your research has to be compared to or analyzed against High Income's peers to derive any actionable benefits. When done correctly, High Income's competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy towards taking a position in High Income Fund.

## High Income Fund Backtested Returns

We consider High Income very steady. High Income Fund holds Efficiency (Sharpe) Ratio of 0.0165, which attests that the entity had 0.0165% of return per unit of risk over the last 3 months. Our standpoint towards determining the volatility of a fund is to use all available market data together with fund-specific technical indicators that cannot be diversified away. We have found twenty-one technical indicators for High Income Fund, which you can use to evaluate the future volatility of the entity. Please check out High Income risk adjusted performance of (0.038625), and Market Risk Adjusted Performance of (0.07) to validate if the risk estimate we provide is consistent with the expected return of 0.0094%.

The fund retains a Market Volatility (i.e., Beta) of 0.2429, which attests to not very significant fluctuations relative to the market. Let's try to break down what ACHFX's beta means in this case. As returns on the market increase, High Income returns are expected to increase less than the market. However, during the bear market, the loss on holding High Income will be expected to be smaller as well. Although it is important to respect High Income Fund current price history, it is better to be realistic regarding the information on the equity's current price movements. The philosophy towards determining future performance of any fund is to evaluate the business as a whole together with its past performance, including all available fundamental and technical indicators. By evaluating High Income Fund technical indicators, you can presently evaluate if the expected return of 0.0094% will be sustainable into the future.

## Auto-correlation | 0.27 |

### Poor predictability

High Income Fund has poor predictability. Overlapping area represents the amount of predictability between High Income time series from 29th of October 2022 to 13th of November 2022 and 13th of November 2022 to 28th of November 2022. 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

**0.27**indicates that nearly 27.0% of current High Income price fluctuation can be explain by its past prices.Correlation Coefficient | 0.27 | |

Spearman Rank Test | 0.12 | |

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 mutual fund has exhibited high autocorrelation historically, and you observe that the stock is moving up for the past few days. In that case, you can expect the stock movement to match the lagging time series.

Current and Lagged Values |

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## 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 |

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## 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 |

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## Be your own money manager

Our tools can tell you how much better you can do entering a position in High Income without increasing your portfolio risk or giving up the expected return. As an individual investor, you need to find a reliable way to track all your investment portfolios. However, your requirements will often be based on how much of the process you decide to do yourself. In addition to allowing all investors analytical transparency into all their portfolios, our tools can evaluate risk-adjusted returns of your individual positions relative to your overall portfolio.## Did you try this?

### Run Stock Tickers Now

## Stock TickersUse high-impact, comprehensive, and customizable stock tickers that can be easily integrated to any websites |

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## Pair Trading with High Income

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 Income 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 Income will appreciate offsetting losses from the drop in the long position's value.### Moving together with High Income

+ | 0.86 | FILFX | Strategic Advisers | Steady Growth | PairCorr |

The ability to find closely correlated positions to High Income 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 Income 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 Income - 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 Income Fund to buy it.

The correlation of High Income is a statistical measure of how it moves in relation to other equities. 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 Income moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if High Income 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 Income 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.Please continue to High Income Correlation, High Income Volatility and High Income Alpha and Beta module to complement your research on High Income. Note that the High Income Fund information on this page should be used as a complementary analysis to other High Income's statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try Aroon Oscillator module to analyze current equity momentum using Aroon Oscillator and other momentum ratios.

## Complementary Tools for ACHFX Mutual Fund analysis

When running High Income Fund 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 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.