Fidelity 500 Index Fund Market Value

FXAIX Fund  USD 196.31  4.12  2.14%   
Fidelity 500's market value is the price at which a share of Fidelity 500 trades on a public exchange. It measures the collective expectations of Fidelity 500 Index investors about its performance. Fidelity 500 is trading at 196.31 as of the 16th of March 2025; that is 2.14 percent increase since the beginning of the trading day. The fund's open price was 192.19.
With this module, you can estimate the performance of a buy and hold strategy of Fidelity 500 Index and determine expected loss or profit from investing in Fidelity 500 over a given investment horizon. Check out Fidelity 500 Correlation, Fidelity 500 Volatility and Fidelity 500 Alpha and Beta module to complement your research on Fidelity 500.
Symbol

Please note, there is a significant difference between Fidelity 500's value and its price as these two are different measures arrived at by different means. Investors typically determine if Fidelity 500 is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Fidelity 500'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 500 '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 500'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 500.
0.00
12/16/2024
No Change 0.00  0.0 
In 3 months and 1 day
03/16/2025
0.00
If you would invest  0.00  in Fidelity 500 on December 16, 2024 and sell it all today you would earn a total of 0.00 from holding Fidelity 500 Index or generate 0.0% return on investment in Fidelity 500 over 90 days. Fidelity 500 is related to or competes with Fidelity Total, Fidelity Extended, Fidelity Zero, Fidelity Small, and Fidelity Nasdaq. The investment seeks to provide investment results that correspond to the total return performance of common stocks publ... More

Fidelity 500 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 500'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 500 Index upside and downside potential and time the market with a certain degree of confidence.

Fidelity 500 Market Risk Indicators

Today, many novice investors tend to focus exclusively on investment returns with little concern for Fidelity 500's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Fidelity 500's standard deviation. In reality, there are many statistical measures that can use Fidelity 500 historical prices to predict the future Fidelity 500's volatility.
Hype
Prediction
LowEstimatedHigh
190.58191.65192.72
Details
Intrinsic
Valuation
LowRealHigh
177.94179.01211.41
Details
Naive
Forecast
LowNextHigh
190.14191.21192.28
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
192.96204.37215.78
Details

Fidelity 500 Index Backtested Returns

Fidelity 500 Index secures Sharpe Ratio (or Efficiency) of -0.14, which denotes the fund had a -0.14 % return per unit of risk over the last 3 months. Fidelity 500 Index exposes twenty-one different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm Fidelity 500's Mean Deviation of 0.8493, variance of 1.15, and Standard Deviation of 1.07 to check the risk estimate we provide. The fund shows a Beta (market volatility) of 0.0977, which means not very significant fluctuations relative to the market. As returns on the market increase, Fidelity 500's returns are expected to increase less than the market. However, during the bear market, the loss of holding Fidelity 500 is expected to be smaller as well.

Auto-correlation

    
  -0.56  

Good reverse predictability

Fidelity 500 Index has good reverse predictability. Overlapping area represents the amount of predictability between Fidelity 500 time series from 16th of December 2024 to 30th of January 2025 and 30th of January 2025 to 16th 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 500 Index price movement. The serial correlation of -0.56 indicates that roughly 56.0% of current Fidelity 500 price fluctuation can be explain by its past prices.
Correlation Coefficient-0.56
Spearman Rank Test-0.19
Residual Average0.0
Price Variance37.43

Fidelity 500 Index lagged returns against current returns

Autocorrelation, which is Fidelity 500 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 500's mutual fund expected returns. We can calculate the autocorrelation of Fidelity 500 returns to help us make a trade decision. For example, suppose you find that Fidelity 500 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 500 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 500 mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Fidelity 500 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 500 mutual fund over time.
   Current vs Lagged Prices   
       Timeline  

Fidelity 500 Lagged Returns

When evaluating Fidelity 500's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Fidelity 500 mutual fund have on its future price. Fidelity 500 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 500 autocorrelation shows the relationship between Fidelity 500 mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Fidelity 500 Index.
   Regressed Prices   
       Timeline  

Also Currently Popular

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.

Other Information on Investing in Fidelity Mutual Fund

Fidelity 500 financial ratios help investors to determine whether Fidelity Mutual Fund is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Fidelity with respect to the benefits of owning Fidelity 500 security.
Insider Screener
Find insiders across different sectors to evaluate their impact on performance
Equity Forecasting
Use basic forecasting models to generate price predictions and determine price momentum
Global Correlations
Find global opportunities by holding instruments from different markets
Watchlist Optimization
Optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm