Fidelity Sai Value Fund Market Value
| FSWCX Fund | USD 11.54 0.01 0.09% |
| Symbol | Fidelity |
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.
| 07/04/2022 |
| 04/24/2024 |
If you would invest 0.00 in Fidelity Sai on July 4, 2022 and sell it all today you would earn a total of 0.00 from holding Fidelity Sai Value or generate 0.0% return on investment in Fidelity Sai over 660 days. Fidelity Sai is related to or competes with Edgewood Growth, Hartford Schroders, HUMANA, Morningstar Unconstrained, High Yield, Thrivent High, and Via Renewables. The fund normally invests at least 80 percent of assets in securities included in the Fidelity U.S 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 Value upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.8331 | |||
| Information Ratio | 0.0331 | |||
| Maximum Drawdown | 3.11 | |||
| Value At Risk | (1.36) | |||
| Potential Upside | 1.04 |
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.| Risk Adjusted Performance | 0.1128 | |||
| Jensen Alpha | 0.0273 | |||
| Total Risk Alpha | 0.0182 | |||
| Sortino Ratio | 0.0257 | |||
| Treynor Ratio | 0.1146 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Fidelity Sai'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.
Fidelity Sai Value Backtested Returns
We consider Fidelity Sai out of control. Fidelity Sai Value 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. We have found twenty-seven technical indicators for Fidelity Sai Value, which you can use to evaluate the volatility of the entity. Please confirm Fidelity Sai's Mean Deviation of 0.4843, downside deviation of 0.8331, and Coefficient Of Variation of 554.62 to check if the risk estimate we provide is consistent with the expected return of 0.0884%. The fund shows a Beta (market volatility) of 0.93, which means possible diversification benefits within a given portfolio. Fidelity Sai returns are very sensitive to returns on the market. As the market goes up or down, Fidelity Sai is expected to follow.
Auto-correlation | 0.13 |
Insignificant predictability
Fidelity Sai Value has insignificant predictability. Overlapping area represents the amount of predictability between Fidelity Sai time series from 4th of July 2022 to 30th of May 2023 and 30th of May 2023 to 24th of April 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 Value price movement. The serial correlation of 0.13 indicates that less than 13.0% of current Fidelity Sai price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.13 | |
| Spearman Rank Test | 0.13 | |
| Residual Average | 0.0 | |
| Price Variance | 0.43 |
Fidelity Sai Value 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 Value.
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 Sai 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 Sai's short interest history, or implied volatility extrapolated from Fidelity Sai options trading.
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Try AI Portfolio ArchitectCheck out Fidelity Sai Correlation, Fidelity Sai Volatility and Fidelity Sai Alpha and Beta module to complement your research on Fidelity Sai. Note that the Fidelity Sai Value information on this page should be used as a complementary analysis to other Fidelity Sai's statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Price Ceiling Movement module to calculate and plot Price Ceiling Movement for different equity instruments.
Fidelity Sai 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.