Fidelity Covington Trust Etf Market Value

FEAC Etf  USD 25.23  0.19  0.76%   
Fidelity Covington's market value is the price at which a share of Fidelity Covington trades on a public exchange. It measures the collective expectations of Fidelity Covington Trust investors about its performance. Fidelity Covington is trading at 25.23 as of the 25th of December 2024, a 0.76 percent up since the beginning of the trading day. The etf's open price was 25.04.
With this module, you can estimate the performance of a buy and hold strategy of Fidelity Covington Trust and determine expected loss or profit from investing in Fidelity Covington over a given investment horizon. Check out Fidelity Covington Correlation, Fidelity Covington Volatility and Fidelity Covington Alpha and Beta module to complement your research on Fidelity Covington.
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The market value of Fidelity Covington Trust 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 Covington's value that differs from its market value or its book value, called intrinsic value, which is Fidelity Covington'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 Covington's market value can be influenced by many factors that don't directly affect Fidelity Covington'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 Covington's value and its price as these two are different measures arrived at by different means. Investors typically determine if Fidelity Covington is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Fidelity Covington'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 Covington '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 Covington'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 Covington.
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01/05/2023
No Change 0.00  0.0 
In 1 year 11 months and 22 days
12/25/2024
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If you would invest  0.00  in Fidelity Covington on January 5, 2023 and sell it all today you would earn a total of 0.00 from holding Fidelity Covington Trust or generate 0.0% return on investment in Fidelity Covington over 720 days. Fidelity Covington is related to or competes with SPDR SP, IShares Core, Vanguard Dividend, Vanguard Large, and Dimensional Core. Flying Eagle Acquisition Corp. focuses on effecting a merger, capital stock exchange, asset acquisition, stock purchase,... More

Fidelity Covington 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 Covington'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 Covington Trust upside and downside potential and time the market with a certain degree of confidence.

Fidelity Covington Market Risk Indicators

Today, many novice investors tend to focus exclusively on investment returns with little concern for Fidelity Covington's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Fidelity Covington's standard deviation. In reality, there are many statistical measures that can use Fidelity Covington historical prices to predict the future Fidelity Covington's volatility.
Hype
Prediction
LowEstimatedHigh
24.4525.2326.01
Details
Intrinsic
Valuation
LowRealHigh
24.5125.2926.07
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Fidelity Covington. Your research has to be compared to or analyzed against Fidelity Covington's peers to derive any actionable benefits. When done correctly, Fidelity Covington's competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy toward taking a position in Fidelity Covington Trust.

Fidelity Covington Trust Backtested Returns

Fidelity Covington Trust secures Sharpe Ratio (or Efficiency) of -0.0182, which denotes the etf had a -0.0182% return per unit of risk over the last 3 months. Fidelity Covington Trust exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm Fidelity Covington's Mean Deviation of 0.5712, variance of 0.6401, and Standard Deviation of 0.8001 to check the risk estimate we provide. The etf shows a Beta (market volatility) of 0.0658, which means not very significant fluctuations relative to the market. As returns on the market increase, Fidelity Covington's returns are expected to increase less than the market. However, during the bear market, the loss of holding Fidelity Covington is expected to be smaller as well.

Auto-correlation

    
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No correlation between past and present

Fidelity Covington Trust has no correlation between past and present. Overlapping area represents the amount of predictability between Fidelity Covington time series from 5th of January 2023 to 31st of December 2023 and 31st of December 2023 to 25th of December 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 Covington Trust price movement. The serial correlation of 0.0 indicates that just 0.0% of current Fidelity Covington price fluctuation can be explain by its past prices.
Correlation Coefficient0.0
Spearman Rank Test0.0
Residual Average0.0
Price Variance0.0

Fidelity Covington Trust lagged returns against current returns

Autocorrelation, which is Fidelity Covington 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 Covington's etf expected returns. We can calculate the autocorrelation of Fidelity Covington returns to help us make a trade decision. For example, suppose you find that Fidelity Covington 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 Covington 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 Covington etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Fidelity Covington etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Fidelity Covington etf over time.
   Current vs Lagged Prices   
       Timeline  

Fidelity Covington Lagged Returns

When evaluating Fidelity Covington's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Fidelity Covington etf have on its future price. Fidelity Covington 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 Covington autocorrelation shows the relationship between Fidelity Covington etf current value and its past values and can show if there is a momentum factor associated with investing in Fidelity Covington Trust.
   Regressed Prices   
       Timeline  

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Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.
When determining whether Fidelity Covington Trust is a strong investment it is important to analyze Fidelity Covington's competitive position within its industry, examining market share, product or service uniqueness, and competitive advantages. Beyond financials and market position, potential investors should also consider broader economic conditions, industry trends, and any regulatory or geopolitical factors that may impact Fidelity Covington's future performance. For an informed investment choice regarding Fidelity Etf, refer to the following important reports:
Check out Fidelity Covington Correlation, Fidelity Covington Volatility and Fidelity Covington Alpha and Beta module to complement your research on Fidelity Covington.
You can also try the AI Portfolio Architect module to use AI to generate optimal portfolios and find profitable investment opportunities.
Fidelity Covington 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.
A focus of Fidelity Covington technical analysis is to determine if market prices reflect all relevant information impacting that market. A technical analyst looks at the history of Fidelity Covington trading pattern rather than external drivers such as economic, fundamental, or social events. It is believed that price action tends to repeat itself due to investors' collective, patterned behavior. Hence technical analysis focuses on identifiable price trends and conditions. More Info...