Equity Income Fund Market Value
TWEIX Fund | USD 8.80 0.11 1.27% |
Symbol | Equity |
Equity 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 Equity 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 Equity Income.
09/30/2023 |
| 03/28/2024 |
If you would invest 0.00 in Equity Income on September 30, 2023 and sell it all today you would earn a total of 0.00 from holding Equity Income Fund or generate 0.0% return on investment in Equity Income over 180 days. Equity Income is related to or competes with Mid Cap, Equity Growth, Income Growth, Diversified Bond, Emerging Markets, Diversified Bond, and Disciplined Growth. The portfolio managers look for equity securities of companies with a favorable income-paying history that have prospect... More
Equity 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 Equity 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 Equity Income Fund upside and downside potential and time the market with a certain degree of confidence.
Downside Deviation | 0.5599 | |||
Information Ratio | (0.10) | |||
Maximum Drawdown | 2.02 | |||
Value At Risk | (0.71) | |||
Potential Upside | 0.7151 |
Equity Income Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Equity Income's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Equity Income's standard deviation. In reality, there are many statistical measures that can use Equity Income historical prices to predict the future Equity Income's volatility.Risk Adjusted Performance | 0.1074 | |||
Jensen Alpha | 0.0043 | |||
Total Risk Alpha | (0.02) | |||
Sortino Ratio | (0.08) | |||
Treynor Ratio | 0.1315 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Equity 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.
Equity Income Fund Backtested Returns
We consider Equity Income very steady. Equity Income Fund secures Sharpe Ratio (or Efficiency) of 0.18, which denotes the fund had a 0.18% return per unit of risk over the last 3 months. We have found twenty-seven technical indicators for Equity Income Fund, which you can use to evaluate the volatility of the entity. Please confirm Equity Income's Mean Deviation of 0.3354, coefficient of variation of 505.49, and Downside Deviation of 0.5599 to check if the risk estimate we provide is consistent with the expected return of 0.0799%. The fund shows a Beta (market volatility) of 0.59, which means possible diversification benefits within a given portfolio. As returns on the market increase, Equity Income's returns are expected to increase less than the market. However, during the bear market, the loss of holding Equity Income is expected to be smaller as well.
Auto-correlation | 0.85 |
Very good predictability
Equity Income Fund has very good predictability. Overlapping area represents the amount of predictability between Equity Income time series from 30th of September 2023 to 29th of December 2023 and 29th of December 2023 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 Equity Income Fund price movement. The serial correlation of 0.85 indicates that around 85.0% of current Equity Income price fluctuation can be explain by its past prices.
Correlation Coefficient | 0.85 | |
Spearman Rank Test | 0.82 | |
Residual Average | 0.0 | |
Price Variance | 0.01 |
Equity Income Fund lagged returns against current returns
Autocorrelation, which is Equity 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 Equity Income's mutual fund expected returns. We can calculate the autocorrelation of Equity Income returns to help us make a trade decision. For example, suppose you find that Equity 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 |
Equity 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 Equity Income mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Equity 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 Equity Income mutual fund over time.
Current vs Lagged Prices |
Timeline |
Equity Income Lagged Returns
When evaluating Equity Income's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Equity Income mutual fund have on its future price. Equity 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, Equity Income autocorrelation shows the relationship between Equity Income mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Equity 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 Equity 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, Equity Income's short interest history, or implied volatility extrapolated from Equity Income options trading.
Currently Active Assets on Macroaxis
Check out Equity Income Correlation, Equity Income Volatility and Equity Income Alpha and Beta module to complement your research on Equity Income. You can also try the AI Portfolio Architect module to use AI to generate optimal portfolios and find profitable investment opportunities.
Complementary Tools for Equity Mutual Fund analysis
When running Equity Income's price analysis, check to measure Equity 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 Equity Income is operating at the current time. Most of Equity Income's value examination focuses on studying past and present price action to predict the probability of Equity 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 Equity Income's price. Additionally, you may evaluate how the addition of Equity Income to your portfolios can decrease your overall portfolio volatility.
Aroon Oscillator Analyze current equity momentum using Aroon Oscillator and other momentum ratios | |
Bond Analysis Evaluate and analyze corporate bonds as a potential investment for your portfolios. | |
Equity Search Search for actively traded equities including funds and ETFs from over 30 global markets | |
AI Portfolio Architect Use AI to generate optimal portfolios and find profitable investment opportunities | |
Idea Analyzer Analyze all characteristics, volatility and risk-adjusted return of Macroaxis ideas | |
Theme Ratings Determine theme ratings based on digital equity recommendations. Macroaxis theme ratings are based on combination of fundamental analysis and risk-adjusted market performance | |
Price Exposure Probability Analyze equity upside and downside potential for a given time horizon across multiple markets |
Equity 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.