Fidelity Equity Income Fund Market Value
| FEQIX Fund | USD 71.62 0.03 0.04% |
| Symbol | Fidelity |
Fidelity 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 Fidelity 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 Fidelity Equity.
| 03/25/2024 |
| 04/24/2024 |
If you would invest 0.00 in Fidelity Equity on March 25, 2024 and sell it all today you would earn a total of 0.00 from holding Fidelity Equity Income Fund or generate 0.0% return on investment in Fidelity Equity over 30 days. Fidelity Equity is related to or competes with Loomis Sayles, Diamond Hill, Champlain Small, HUMANA, Barloworld, Morningstar Unconstrained, and High Yield. The fund normally invests at least 80 percent of assets in equity securities More
Fidelity 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 Fidelity 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 Fidelity Equity Income Fund upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.6324 | |||
| Information Ratio | 0.0261 | |||
| Maximum Drawdown | 2.86 | |||
| Value At Risk | (1.02) | |||
| Potential Upside | 0.8692 |
Fidelity Equity Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Fidelity Equity's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Fidelity Equity's standard deviation. In reality, there are many statistical measures that can use Fidelity Equity historical prices to predict the future Fidelity Equity's volatility.| Risk Adjusted Performance | 0.1212 | |||
| Jensen Alpha | 0.0271 | |||
| Total Risk Alpha | 0.0233 | |||
| Sortino Ratio | 0.0231 | |||
| Treynor Ratio | 0.117 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Fidelity 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.
Fidelity Equity Me Backtested Returns
We consider Fidelity Equity very steady. Fidelity Equity Me 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-eight technical indicators for Fidelity Equity Income Fund, which you can use to evaluate the volatility of the entity. Please confirm Fidelity Equity's Coefficient Of Variation of 509.84, downside deviation of 0.6324, and Mean Deviation of 0.4274 to check if the risk estimate we provide is consistent with the expected return of 0.1%. The fund shows a Beta (market volatility) of 0.85, which means possible diversification benefits within a given portfolio. Fidelity Equity returns are very sensitive to returns on the market. As the market goes up or down, Fidelity Equity is expected to follow.
Auto-correlation | -0.39 |
Poor reverse predictability
Fidelity Equity Income Fund has poor reverse predictability. Overlapping area represents the amount of predictability between Fidelity Equity time series from 25th of March 2024 to 9th of April 2024 and 9th of April 2024 to 24th 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 Fidelity Equity Me price movement. The serial correlation of -0.39 indicates that just about 39.0% of current Fidelity Equity price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.39 | |
| Spearman Rank Test | 0.54 | |
| Residual Average | 0.0 | |
| Price Variance | 0.73 |
Fidelity Equity Me lagged returns against current returns
Autocorrelation, which is Fidelity 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 Fidelity Equity's mutual fund expected returns. We can calculate the autocorrelation of Fidelity Equity returns to help us make a trade decision. For example, suppose you find that Fidelity 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 |
Fidelity 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 Fidelity Equity mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Fidelity 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 Fidelity Equity mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Fidelity Equity Lagged Returns
When evaluating Fidelity Equity's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Fidelity Equity mutual fund have on its future price. Fidelity 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, Fidelity Equity autocorrelation shows the relationship between Fidelity Equity mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Fidelity 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 Fidelity 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, Fidelity Equity's short interest history, or implied volatility extrapolated from Fidelity Equity options trading.
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Fidelity 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.