Fidelity Sai International Fund Market Value

FSKLX Fund  USD 11.24  0.04  0.35%   
Fidelity Sai's market value is the price at which a share of Fidelity Sai trades on a public exchange. It measures the collective expectations of Fidelity Sai International investors about its performance. Fidelity Sai is trading at 11.24 as of the 26th of November 2024; that is 0.35 percent decrease since the beginning of the trading day. The fund's open price was 11.28.
With this module, you can estimate the performance of a buy and hold strategy of Fidelity Sai International and determine expected loss or profit from investing in Fidelity Sai over a given investment horizon. Check out Fidelity Sai Correlation, Fidelity Sai Volatility and Fidelity Sai Alpha and Beta module to complement your research on Fidelity Sai.
Symbol

Please note, there is a significant difference between Fidelity Sai's value and its price as these two are different measures arrived at by different means. Investors typically determine if Fidelity Sai is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Fidelity Sai'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 Sai '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 Sai'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 Sai.
0.00
10/27/2024
No Change 0.00  0.0 
In 31 days
11/26/2024
0.00
If you would invest  0.00  in Fidelity Sai on October 27, 2024 and sell it all today you would earn a total of 0.00 from holding Fidelity Sai International or generate 0.0% return on investment in Fidelity Sai over 30 days. Fidelity Sai is related to or competes with Fidelity Freedom, Fidelity Puritan, Fidelity Puritan, Fidelity Pennsylvania, Fidelity Freedom, Fidelity Freedom, and Fidelity Salem. The fund normally invests at least 80 percent of assets in equity securities included in the Fidelity International Low Volatility Focus Index, which reflects the performance of a broad range of equities across developed markets that in the aggregate have lower volatility relative to the broader foreign developed equity markets. More

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

Fidelity Sai Market Risk Indicators

Today, many novice investors tend to focus exclusively on investment returns with little concern for Fidelity Sai's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Fidelity Sai's standard deviation. In reality, there are many statistical measures that can use Fidelity Sai historical prices to predict the future Fidelity Sai's volatility.
Hype
Prediction
LowEstimatedHigh
10.7211.2811.84
Details
Intrinsic
Valuation
LowRealHigh
10.8311.3911.95
Details

Fidelity Sai Interna Backtested Returns

Fidelity Sai Interna secures Sharpe Ratio (or Efficiency) of -0.21, which denotes the fund had a -0.21% return per unit of risk over the last 3 months. Fidelity Sai International exposes twenty-one different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm Fidelity Sai's Standard Deviation of 0.5659, mean deviation of 0.4519, and Variance of 0.3202 to check the risk estimate we provide. The fund shows a Beta (market volatility) of 0.17, which means not very significant fluctuations relative to the market. As returns on the market increase, Fidelity Sai's returns are expected to increase less than the market. However, during the bear market, the loss of holding Fidelity Sai is expected to be smaller as well.

Auto-correlation

    
  0.58  

Modest predictability

Fidelity Sai International has modest predictability. Overlapping area represents the amount of predictability between Fidelity Sai time series from 27th of October 2024 to 11th of November 2024 and 11th of November 2024 to 26th 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 Sai Interna price movement. The serial correlation of 0.58 indicates that roughly 58.0% of current Fidelity Sai price fluctuation can be explain by its past prices.
Correlation Coefficient0.58
Spearman Rank Test0.55
Residual Average0.0
Price Variance0.01

Fidelity Sai Interna lagged returns against current returns

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

Fidelity Sai Lagged Returns

When evaluating Fidelity Sai's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Fidelity Sai mutual fund have on its future price. Fidelity Sai 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 Sai autocorrelation shows the relationship between Fidelity Sai mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Fidelity Sai International.
   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 Sai 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 Sai security.
Portfolio Dashboard
Portfolio dashboard that provides centralized access to all your investments
Portfolio Backtesting
Avoid under-diversification and over-optimization by backtesting your portfolios