Fidelity Asset Manager Fund Market Value

FTDWX Fund  USD 13.43  0.05  0.37%   
Fidelity Asset's market value is the price at which a share of Fidelity Asset trades on a public exchange. It measures the collective expectations of Fidelity Asset Manager investors about its performance. Fidelity Asset is trading at 13.43 as of the 28th of March 2024; that is 0.37 percent increase since the beginning of the trading day. The fund's open price was 13.38.
With this module, you can estimate the performance of a buy and hold strategy of Fidelity Asset Manager and determine expected loss or profit from investing in Fidelity Asset over a given investment horizon. Check out Fidelity Asset Correlation, Fidelity Asset Volatility and Fidelity Asset Alpha and Beta module to complement your research on Fidelity Asset.
Symbol

Please note, there is a significant difference between Fidelity Asset's value and its price as these two are different measures arrived at by different means. Investors typically determine if Fidelity Asset is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Fidelity Asset'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 Asset '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 Asset'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 Asset.
0.00
02/27/2024
No Change 0.00  0.0 
In 31 days
03/28/2024
0.00
If you would invest  0.00  in Fidelity Asset on February 27, 2024 and sell it all today you would earn a total of 0.00 from holding Fidelity Asset Manager or generate 0.0% return on investment in Fidelity Asset over 30 days. Fidelity Asset is related to or competes with Fidelity New, Fidelity New, Fidelity Advisor, Fidelity New, Fidelity Advisor, Fidelity Sustainable, and Fidelity Freedom. The fund allocates its assets among three main asset classes the stock class , the bond class , and the short-termmoney market class . More

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

Fidelity Asset Market Risk Indicators

Today, many novice investors tend to focus exclusively on investment returns with little concern for Fidelity Asset's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Fidelity Asset's standard deviation. In reality, there are many statistical measures that can use Fidelity Asset historical prices to predict the future Fidelity Asset'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 Asset'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
13.1613.4313.70
Details
Intrinsic
Valuation
LowRealHigh
13.1213.3913.66
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Fidelity Asset. Your research has to be compared to or analyzed against Fidelity Asset's peers to derive any actionable benefits. When done correctly, Fidelity Asset'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 Asset Manager.

Fidelity Asset Manager Backtested Returns

We consider Fidelity Asset very steady. Fidelity Asset Manager secures Sharpe Ratio (or Efficiency) of 0.1, which denotes the fund had a 0.1% return per unit of risk over the last 3 months. We have found twenty-four technical indicators for Fidelity Asset Manager, which you can use to evaluate the volatility of the entity. Please confirm Fidelity Asset's Standard Deviation of 0.2648, semi deviation of 0.1934, and Coefficient Of Variation of 915.31 to check if the risk estimate we provide is consistent with the expected return of 0.027%. The fund shows a Beta (market volatility) of 0.0, which means not very significant fluctuations relative to the market. the returns on MARKET and Fidelity Asset are completely uncorrelated.

Auto-correlation

    
  0.61  

Good predictability

Fidelity Asset Manager has good predictability. Overlapping area represents the amount of predictability between Fidelity Asset time series from 27th of February 2024 to 13th of March 2024 and 13th of March 2024 to 28th of March 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 Asset Manager price movement. The serial correlation of 0.61 indicates that roughly 61.0% of current Fidelity Asset price fluctuation can be explain by its past prices.
Correlation Coefficient0.61
Spearman Rank Test0.76
Residual Average0.0
Price Variance0.0

Fidelity Asset Manager lagged returns against current returns

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

Fidelity Asset Lagged Returns

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

Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards Fidelity Asset in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, Fidelity Asset's short interest history, or implied volatility extrapolated from Fidelity Asset options trading.

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Check out Fidelity Asset Correlation, Fidelity Asset Volatility and Fidelity Asset Alpha and Beta module to complement your research on Fidelity Asset.
You can also try the Portfolio Center module to all portfolio management and optimization tools to improve performance of your portfolios.

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When running Fidelity Asset's price analysis, check to measure Fidelity Asset's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Fidelity Asset is operating at the current time. Most of Fidelity Asset's value examination focuses on studying past and present price action to predict the probability of Fidelity Asset's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Fidelity Asset's price. Additionally, you may evaluate how the addition of Fidelity Asset to your portfolios can decrease your overall portfolio volatility.
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Fidelity Asset technical mutual fund 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, fund market cycles, or different charting patterns.
A focus of Fidelity Asset technical analysis is to determine if market prices reflect all relevant information impacting that market. A technical analyst looks at the history of Fidelity Asset 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...