Fidelity Growth Strategies Fund Market Value
| FDEGX Fund | USD 60.02 0.27 0.45% |
| Symbol | Fidelity |
Fidelity Growth '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 Growth'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 Growth.
| 04/30/2022 |
| 04/19/2024 |
If you would invest 0.00 in Fidelity Growth on April 30, 2022 and sell it all today you would earn a total of 0.00 from holding Fidelity Growth Strategies or generate 0.0% return on investment in Fidelity Growth over 720 days. Fidelity Growth is related to or competes with Fidelity Small, Fidelity Mid, Fidelity Large, Fidelity Small, and Fidelity Large. The fund primarily invests in common stocks More
Fidelity Growth 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 Growth'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 Growth Strategies upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.8411 | |||
| Information Ratio | 0.0556 | |||
| Maximum Drawdown | 3.77 | |||
| Value At Risk | (1.43) | |||
| Potential Upside | 1.33 |
Fidelity Growth Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Fidelity Growth's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Fidelity Growth's standard deviation. In reality, there are many statistical measures that can use Fidelity Growth historical prices to predict the future Fidelity Growth's volatility.| Risk Adjusted Performance | 0.0863 | |||
| Jensen Alpha | 0.0385 | |||
| Total Risk Alpha | 0.0248 | |||
| Sortino Ratio | 0.0571 | |||
| Treynor Ratio | 0.0917 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Fidelity Growth'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 Growth Stra Backtested Returns
We consider Fidelity Growth very steady. Fidelity Growth Stra secures Sharpe Ratio (or Efficiency) of 0.0995, which denotes the fund had a 0.0995% return per unit of risk over the last 3 months. We have found twenty-seven technical indicators for Fidelity Growth Strategies, which you can use to evaluate the volatility of the entity. Please confirm Fidelity Growth's Downside Deviation of 0.8411, mean deviation of 0.7022, and Coefficient Of Variation of 740.21 to check if the risk estimate we provide is consistent with the expected return of 0.0853%. The fund shows a Beta (market volatility) of 1.16, which means a somewhat significant risk relative to the market. As the market goes up, the company is expected to outperform it. However, if the market returns are negative, Fidelity Growth will likely underperform.
Auto-correlation | 0.57 |
Modest predictability
Fidelity Growth Strategies has modest predictability. Overlapping area represents the amount of predictability between Fidelity Growth time series from 30th of April 2022 to 25th of April 2023 and 25th of April 2023 to 19th 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 Growth Stra price movement. The serial correlation of 0.57 indicates that roughly 57.0% of current Fidelity Growth price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.57 | |
| Spearman Rank Test | 0.42 | |
| Residual Average | 0.0 | |
| Price Variance | 18.92 |
Fidelity Growth Stra lagged returns against current returns
Autocorrelation, which is Fidelity Growth 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 Growth's mutual fund expected returns. We can calculate the autocorrelation of Fidelity Growth returns to help us make a trade decision. For example, suppose you find that Fidelity Growth 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 Growth 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 Growth mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Fidelity Growth 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 Growth mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Fidelity Growth Lagged Returns
When evaluating Fidelity Growth's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Fidelity Growth mutual fund have on its future price. Fidelity Growth 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 Growth autocorrelation shows the relationship between Fidelity Growth mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Fidelity Growth Strategies.
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 Growth 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 Growth's short interest history, or implied volatility extrapolated from Fidelity Growth options trading.
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Try AI Portfolio ArchitectCheck out Fidelity Growth Correlation, Fidelity Growth Volatility and Fidelity Growth Alpha and Beta module to complement your research on Fidelity Growth. Note that the Fidelity Growth Stra information on this page should be used as a complementary analysis to other Fidelity Growth'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 Fundamental Analysis module to view fundamental data based on most recent published financial statements.
Fidelity Growth 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.