Fidelity Value Fund Market Value

FDVLX Fund  USD 13.84  0.04  0.29%   
Fidelity Value's market value is the price at which a share of Fidelity Value trades on a public exchange. It measures the collective expectations of Fidelity Value Fund investors about its performance. Fidelity Value is trading at 13.84 as of the 19th of July 2025; that is 0.29 percent decrease since the beginning of the trading day. The fund's open price was 13.88.
With this module, you can estimate the performance of a buy and hold strategy of Fidelity Value Fund and determine expected loss or profit from investing in Fidelity Value over a given investment horizon. Check out Fidelity Value Correlation, Fidelity Value Volatility and Fidelity Value Alpha and Beta module to complement your research on Fidelity Value.
Symbol

Please note, there is a significant difference between Fidelity Value's value and its price as these two are different measures arrived at by different means. Investors typically determine if Fidelity Value is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Fidelity Value'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 Value '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 Value'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 Value.
0.00
04/20/2025
No Change 0.00  0.0 
In 3 months and 1 day
07/19/2025
0.00
If you would invest  0.00  in Fidelity Value on April 20, 2025 and sell it all today you would earn a total of 0.00 from holding Fidelity Value Fund or generate 0.0% return on investment in Fidelity Value over 90 days. Fidelity Value is related to or competes with Fidelity Freedom, Fidelity Puritan, Fidelity Puritan, Fidelity Pennsylvania, Fidelity Freedom, Fidelity Freedom, and Fidelity Salem. The fund invests primarily in common stocks More

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

Fidelity Value Market Risk Indicators

Today, many novice investors tend to focus exclusively on investment returns with little concern for Fidelity Value's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Fidelity Value's standard deviation. In reality, there are many statistical measures that can use Fidelity Value historical prices to predict the future Fidelity Value's volatility.
Hype
Prediction
LowEstimatedHigh
12.7613.8714.98
Details
Intrinsic
Valuation
LowRealHigh
13.2914.4015.51
Details
Naive
Forecast
LowNextHigh
12.3613.4714.58
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
13.6813.9314.18
Details

Fidelity Value Backtested Returns

Fidelity Value appears to be very steady, given 3 months investment horizon. Fidelity Value secures Sharpe Ratio (or Efficiency) of 0.25, which denotes the fund had a 0.25 % return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for Fidelity Value Fund, which you can use to evaluate the volatility of the entity. Please utilize Fidelity Value's Mean Deviation of 0.8509, downside deviation of 1.05, and Coefficient Of Variation of 494.68 to check if our risk estimates are consistent with your expectations. The fund shows a Beta (market volatility) of 1.01, which means a somewhat significant risk relative to the market. Fidelity Value returns are very sensitive to returns on the market. As the market goes up or down, Fidelity Value is expected to follow.

Auto-correlation

    
  0.79  

Good predictability

Fidelity Value Fund has good predictability. Overlapping area represents the amount of predictability between Fidelity Value time series from 20th of April 2025 to 4th of June 2025 and 4th of June 2025 to 19th of July 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 Value price movement. The serial correlation of 0.79 indicates that around 79.0% of current Fidelity Value price fluctuation can be explain by its past prices.
Correlation Coefficient0.79
Spearman Rank Test0.83
Residual Average0.0
Price Variance0.11

Fidelity Value lagged returns against current returns

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

Fidelity Value Lagged Returns

When evaluating Fidelity Value's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Fidelity Value mutual fund have on its future price. Fidelity Value 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 Value autocorrelation shows the relationship between Fidelity Value mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Fidelity Value Fund.
   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 Value 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 Value security.
Volatility Analysis
Get historical volatility and risk analysis based on latest market data
Instant Ratings
Determine any equity ratings based on digital recommendations. Macroaxis instant equity ratings are based on combination of fundamental analysis and risk-adjusted market performance
Portfolio Center
All portfolio management and optimization tools to improve performance of your portfolios
Watchlist Optimization
Optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm