Fidelity Emerging Markets Etf Market Value

FDEM Etf  USD 25.68  0.11  0.43%   
Fidelity Emerging's market value is the price at which a share of Fidelity Emerging trades on a public exchange. It measures the collective expectations of Fidelity Emerging Markets investors about its performance. Fidelity Emerging is selling at 25.68 as of the 28th of November 2024; that is 0.43 percent decrease since the beginning of the trading day. The etf's lowest day price was 25.65.
With this module, you can estimate the performance of a buy and hold strategy of Fidelity Emerging Markets and determine expected loss or profit from investing in Fidelity Emerging over a given investment horizon. Check out Fidelity Emerging Correlation, Fidelity Emerging Volatility and Fidelity Emerging Alpha and Beta module to complement your research on Fidelity Emerging.
Symbol

The market value of Fidelity Emerging Markets 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 Emerging's value that differs from its market value or its book value, called intrinsic value, which is Fidelity Emerging'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 Emerging's market value can be influenced by many factors that don't directly affect Fidelity Emerging'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 Emerging's value and its price as these two are different measures arrived at by different means. Investors typically determine if Fidelity Emerging is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Fidelity Emerging'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 Emerging '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 Emerging'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 Emerging.
0.00
08/30/2024
No Change 0.00  0.0 
In 3 months and 1 day
11/28/2024
0.00
If you would invest  0.00  in Fidelity Emerging on August 30, 2024 and sell it all today you would earn a total of 0.00 from holding Fidelity Emerging Markets or generate 0.0% return on investment in Fidelity Emerging over 90 days. Fidelity Emerging is related to or competes with Fidelity International, Fidelity Small, Fidelity International, Fidelity International, and Fidelity Momentum. The fund normally invests at least 80 percent of its assets in securities included in the index and in depositary receip... More

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

Fidelity Emerging Market Risk Indicators

Today, many novice investors tend to focus exclusively on investment returns with little concern for Fidelity Emerging's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Fidelity Emerging's standard deviation. In reality, there are many statistical measures that can use Fidelity Emerging historical prices to predict the future Fidelity Emerging's volatility.
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Fidelity Emerging'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.
Hype
Prediction
LowEstimatedHigh
24.7425.6826.62
Details
Intrinsic
Valuation
LowRealHigh
24.8825.8226.76
Details
Naive
Forecast
LowNextHigh
24.4325.3726.31
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
25.2325.6626.08
Details

Fidelity Emerging Markets Backtested Returns

As of now, Fidelity Etf is very steady. Fidelity Emerging Markets secures Sharpe Ratio (or Efficiency) of 0.004, which denotes the etf had a 0.004% return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for Fidelity Emerging Markets, which you can use to evaluate the volatility of the entity. Please confirm Fidelity Emerging's Downside Deviation of 0.9814, mean deviation of 0.6992, and Coefficient Of Variation of 118947.44 to check if the risk estimate we provide is consistent with the expected return of 0.0037%. The etf shows a Beta (market volatility) of 0.24, which means not very significant fluctuations relative to the market. As returns on the market increase, Fidelity Emerging's returns are expected to increase less than the market. However, during the bear market, the loss of holding Fidelity Emerging is expected to be smaller as well.

Auto-correlation

    
  -0.73  

Almost perfect reverse predictability

Fidelity Emerging Markets has almost perfect reverse predictability. Overlapping area represents the amount of predictability between Fidelity Emerging time series from 30th of August 2024 to 14th of October 2024 and 14th of October 2024 to 28th of November 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 Emerging Markets price movement. The serial correlation of -0.73 indicates that around 73.0% of current Fidelity Emerging price fluctuation can be explain by its past prices.
Correlation Coefficient-0.73
Spearman Rank Test-0.73
Residual Average0.0
Price Variance0.22

Fidelity Emerging Markets lagged returns against current returns

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

Fidelity Emerging Lagged Returns

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

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When determining whether Fidelity Emerging Markets is a strong investment it is important to analyze Fidelity Emerging'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 Emerging's future performance. For an informed investment choice regarding Fidelity Etf, refer to the following important reports:
Check out Fidelity Emerging Correlation, Fidelity Emerging Volatility and Fidelity Emerging Alpha and Beta module to complement your research on Fidelity Emerging.
You can also try the Options Analysis module to analyze and evaluate options and option chains as a potential hedge for your portfolios.
Fidelity Emerging 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 Emerging technical analysis is to determine if market prices reflect all relevant information impacting that market. A technical analyst looks at the history of Fidelity Emerging 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...