Fidelity Growth Opportunities Etf Market Value
| FGRO Etf | USD 30.55 0.07 0.23% |
| Symbol | Fidelity |
The market value of Fidelity Growth Oppo is measured differently than its book value, which is the value of Fidelity that is recorded on the company's balance sheet. Investors also form their own opinion of Fidelity Growth's value that differs from its market value or its book value, called intrinsic value, which is Fidelity Growth's true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because Fidelity Growth's market value can be influenced by many factors that don't directly affect Fidelity Growth's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between Fidelity Growth's value and its price as these two are different measures arrived at by different means. Investors typically determine if Fidelity Growth is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Fidelity Growth's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.
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 etf 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.
| 12/16/2025 |
| 01/15/2026 |
If you would invest 0.00 in Fidelity Growth on December 16, 2025 and sell it all today you would earn a total of 0.00 from holding Fidelity Growth Opportunities or generate 0.0% return on investment in Fidelity Growth over 30 days. Fidelity Growth is related to or competes with SPDR MSCI, Amplify ETF, and Invesco SP. The fund is an actively managed ETF that operates pursuant to an exemptive order from the Securities and Exchange Commis... 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 etf 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 Opportunities upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.13) | |||
| Maximum Drawdown | 99.77 | |||
| Value At Risk | (1.37) | |||
| Potential Upside | 1.03 |
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 | (0.08) | |||
| Jensen Alpha | (1.40) | |||
| Total Risk Alpha | (3.37) | |||
| Treynor Ratio | 1.89 |
Fidelity Growth Oppo Backtested Returns
Fidelity Growth Oppo secures Sharpe Ratio (or Efficiency) of -0.12, which denotes the etf had a -0.12 % return per unit of risk over the last 3 months. Fidelity Growth Opportunities exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm Fidelity Growth's Standard Deviation of 12.11, mean deviation of 2.94, and Variance of 146.68 to check the risk estimate we provide. The etf shows a Beta (market volatility) of -0.79, which means possible diversification benefits within a given portfolio. As returns on the market increase, returns on owning Fidelity Growth are expected to decrease at a much lower rate. During the bear market, Fidelity Growth is likely to outperform the market.
Auto-correlation | -0.8 |
Almost perfect reverse predictability
Fidelity Growth Opportunities has almost perfect reverse predictability. Overlapping area represents the amount of predictability between Fidelity Growth time series from 16th of December 2025 to 31st of December 2025 and 31st of December 2025 to 15th of January 2026. 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 Oppo price movement. The serial correlation of -0.8 indicates that around 80.0% of current Fidelity Growth price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.8 | |
| Spearman Rank Test | -0.47 | |
| Residual Average | 0.0 | |
| Price Variance | 0.04 |
Fidelity Growth Oppo lagged returns against current returns
Autocorrelation, which is Fidelity Growth etf'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 etf 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 etf 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 etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Fidelity Growth etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Fidelity Growth etf 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 etf 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 etf current value and its past values and can show if there is a momentum factor associated with investing in Fidelity Growth Opportunities.
Regressed Prices |
| Timeline |
When determining whether Fidelity Growth Oppo offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of Fidelity Growth's financial statements, including income statements, balance sheets, and cash flow statements, to assess its financial health. Key financial ratios are used to gauge profitability, efficiency, and growth potential of Fidelity Growth Opportunities Etf. Outlined below are crucial reports that will aid in making a well-informed decision on Fidelity Growth Opportunities Etf:
Check out Fidelity Growth Correlation, Fidelity Growth Volatility and Fidelity Growth Alpha and Beta module to complement your research on Fidelity Growth. You can also try the Premium Stories module to follow Macroaxis premium stories from verified contributors across different equity types, categories and coverage scope.
Fidelity Growth technical etf 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, etf market cycles, or different charting patterns.