Fidelity Income Replacement Fund Market Value
| FIRMX Fund | USD 53.94 0.12 0.22% |
| Symbol | Fidelity |
Fidelity 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 Fidelity 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 Fidelity Income.
| 03/24/2024 |
| 04/23/2024 |
If you would invest 0.00 in Fidelity Income on March 24, 2024 and sell it all today you would earn a total of 0.00 from holding Fidelity Income Replacement or generate 0.0% return on investment in Fidelity Income over 30 days. Fidelity Income is related to or competes with Fidelity Freedom, Fidelity Puritan, Fidelity Puritan, Fidelity Pennsylvania, Fidelity Freedom, Fidelity Freedom, and Fidelity Salem. The fund invests in a combination of Fidelity U.S More
Fidelity 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 Fidelity 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 Fidelity Income Replacement upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.3461 | |||
| Information Ratio | (0.28) | |||
| Maximum Drawdown | 1.43 | |||
| Value At Risk | (0.54) | |||
| Potential Upside | 0.3663 |
Fidelity Income Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Fidelity Income's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Fidelity Income's standard deviation. In reality, there are many statistical measures that can use Fidelity Income historical prices to predict the future Fidelity Income's volatility.| Risk Adjusted Performance | (0.000065) | |||
| Jensen Alpha | (0.03) | |||
| Total Risk Alpha | (0.04) | |||
| Sortino Ratio | (0.23) | |||
| Treynor Ratio | (0.01) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Fidelity 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.
Fidelity Me Replacement Backtested Returns
We consider Fidelity Income very steady. Fidelity Me Replacement secures Sharpe Ratio (or Efficiency) of 0.0055, which denotes the fund had a 0.0055% return per unit of risk over the last 3 months. We have found twenty-seven technical indicators for Fidelity Income Replacement, which you can use to evaluate the volatility of the entity. Please confirm Fidelity Income's Downside Deviation of 0.3461, coefficient of variation of 5585.43, and Mean Deviation of 0.2156 to check if the risk estimate we provide is consistent with the expected return of 0.0016%. The fund shows a Beta (market volatility) of 0.33, which means possible diversification benefits within a given portfolio. As returns on the market increase, Fidelity Income's returns are expected to increase less than the market. However, during the bear market, the loss of holding Fidelity Income is expected to be smaller as well.
Auto-correlation | 0.58 |
Modest predictability
Fidelity Income Replacement has modest predictability. Overlapping area represents the amount of predictability between Fidelity Income time series from 24th of March 2024 to 8th of April 2024 and 8th of April 2024 to 23rd 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 Me Replacement price movement. The serial correlation of 0.58 indicates that roughly 58.0% of current Fidelity Income price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.58 | |
| Spearman Rank Test | 0.54 | |
| Residual Average | 0.0 | |
| Price Variance | 0.13 |
Fidelity Me Replacement lagged returns against current returns
Autocorrelation, which is Fidelity 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 Fidelity Income's mutual fund expected returns. We can calculate the autocorrelation of Fidelity Income returns to help us make a trade decision. For example, suppose you find that Fidelity 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 |
Fidelity 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 Fidelity Income mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Fidelity 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 Fidelity Income mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Fidelity Income Lagged Returns
When evaluating Fidelity Income's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Fidelity Income mutual fund have on its future price. Fidelity 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, Fidelity Income autocorrelation shows the relationship between Fidelity Income mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Fidelity Income Replacement.
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 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, Fidelity Income's short interest history, or implied volatility extrapolated from Fidelity Income options trading.
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Fidelity 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.