Federated Equity Income Fund Market Value
| LEIFX Fund | USD 23.92 0.01 0.04% |
| Symbol | Federated |
Federated Equity '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 Federated Equity'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 Federated Equity.
| 04/09/2024 |
| 05/09/2024 |
If you would invest 0.00 in Federated Equity on April 9, 2024 and sell it all today you would earn a total of 0.00 from holding Federated Equity Income or generate 0.0% return on investment in Federated Equity over 30 days. Federated Equity is related to or competes with Vanguard Value, Dodge Cox, American Funds, American Funds, American Mutual, American Mutual, and Vanguard Value. The fund invests primarily in income-producing equity securities More
Federated Equity 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 Federated Equity'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 Federated Equity Income upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.753 | |||
| Information Ratio | 0.0161 | |||
| Maximum Drawdown | 3.01 | |||
| Value At Risk | (1.28) | |||
| Potential Upside | 0.9623 |
Federated Equity Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Federated Equity's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Federated Equity's standard deviation. In reality, there are many statistical measures that can use Federated Equity historical prices to predict the future Federated Equity's volatility.| Risk Adjusted Performance | 0.0942 | |||
| Jensen Alpha | 0.0822 | |||
| Total Risk Alpha | 0.0067 | |||
| Sortino Ratio | 0.0139 | |||
| Treynor Ratio | 1.13 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Federated Equity'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.
Federated Equity Income Backtested Returns
We consider Federated Equity very steady. Federated Equity Income secures Sharpe Ratio (or Efficiency) of 0.14, which denotes the fund had a 0.14% return per unit of risk over the last 3 months. We have found twenty-seven technical indicators for Federated Equity Income, which you can use to evaluate the volatility of the entity. Please confirm Federated Equity's Downside Deviation of 0.753, mean deviation of 0.4905, and Coefficient Of Variation of 660.61 to check if the risk estimate we provide is consistent with the expected return of 0.0916%. The fund shows a Beta (market volatility) of 0.0779, which means not very significant fluctuations relative to the market. As returns on the market increase, Federated Equity's returns are expected to increase less than the market. However, during the bear market, the loss of holding Federated Equity is expected to be smaller as well.
Auto-correlation | 0.19 |
Very weak predictability
Federated Equity Income has very weak predictability. Overlapping area represents the amount of predictability between Federated Equity time series from 9th of April 2024 to 24th of April 2024 and 24th of April 2024 to 9th of May 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 Federated Equity Income price movement. The serial correlation of 0.19 indicates that over 19.0% of current Federated Equity price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.19 | |
| Spearman Rank Test | -0.72 | |
| Residual Average | 0.0 | |
| Price Variance | 0.03 |
Federated Equity Income lagged returns against current returns
Autocorrelation, which is Federated Equity 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 Federated Equity's mutual fund expected returns. We can calculate the autocorrelation of Federated Equity returns to help us make a trade decision. For example, suppose you find that Federated Equity 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 |
Federated Equity 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 Federated Equity mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Federated Equity mutual fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Federated Equity mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Federated Equity Lagged Returns
When evaluating Federated Equity's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Federated Equity mutual fund have on its future price. Federated Equity 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, Federated Equity autocorrelation shows the relationship between Federated Equity mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Federated Equity Income.
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 Federated Equity 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, Federated Equity's short interest history, or implied volatility extrapolated from Federated Equity options trading.
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Try AI Portfolio ArchitectCheck out Federated Equity Correlation, Federated Equity Volatility and Federated Equity Alpha and Beta module to complement your research on Federated Equity. Note that the Federated Equity Income information on this page should be used as a complementary analysis to other Federated Equity'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 the Equity Search module to search for actively traded equities including funds and ETFs from over 30 global markets.
Federated Equity 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.