Fidelity Growth Opportunities Etf Market Value
| FGRO Etf | USD 22.23 0.63 2.76% |
| 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.
| 12/15/2024 |
| 03/15/2025 |
If you would invest 0.00 in Fidelity Growth on December 15, 2024 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 90 days. Fidelity Growth is related to or competes with Fidelity Covington, Fidelity Real, Fidelity Blue, and Fidelity Blue. 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 | (0.09) | |||
| Maximum Drawdown | 6.9 | |||
| Value At Risk | (3.27) | |||
| Potential Upside | 1.78 |
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 | (0.13) | |||
| Jensen Alpha | (0.27) | |||
| Total Risk Alpha | (0.05) | |||
| Treynor Ratio | 0.7929 |
Fidelity Growth Oppo Backtested Returns
Fidelity Growth Oppo secures Sharpe Ratio (or Efficiency) of -0.15, which denotes the etf had a -0.15 % 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 Mean Deviation of 1.2, standard deviation of 1.55, and Variance of 2.41 to check the risk estimate we provide. The etf shows a Beta (market volatility) of -0.3, 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 | -0.31 |
Poor reverse predictability
Fidelity Growth Opportunities has poor reverse predictability. Overlapping area represents the amount of predictability between Fidelity Growth time series from 15th of December 2024 to 29th of January 2025 and 29th of January 2025 to 15th of March 2025. 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 -0.31 indicates that nearly 31.0% of current Fidelity Growth price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.31 | |
| Spearman Rank Test | -0.01 | |
| Residual Average | 0.0 | |
| Price Variance | 1.54 |
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 |
Pair Trading with Fidelity Growth
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Fidelity Growth position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Fidelity Growth will appreciate offsetting losses from the drop in the long position's value.Moving together with Fidelity Etf
| 0.93 | VUG | Vanguard Growth Index | PairCorr |
| 0.93 | IWF | iShares Russell 1000 | PairCorr |
| 0.92 | IVW | iShares SP 500 | PairCorr |
| 0.92 | SPYG | SPDR Portfolio SP | PairCorr |
| 0.92 | IUSG | iShares Core SP | PairCorr |
Moving against Fidelity Etf
| 0.5 | BND | Vanguard Total Bond Sell-off Trend | PairCorr |
| 0.39 | GLD | SPDR Gold Shares | PairCorr |
| 0.36 | VEA | Vanguard FTSE Developed | PairCorr |
The ability to find closely correlated positions to Fidelity Growth could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Fidelity Growth when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Fidelity Growth - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Fidelity Growth Opportunities to buy it.
The correlation of Fidelity Growth is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Fidelity Growth moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Fidelity Growth Oppo moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Fidelity Growth can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.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 Technical Analysis module to check basic technical indicators and analysis based on most latest market data.
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.