Fidelity Sai Long Term Fund Market Value
| FBLTX Fund | USD 7.27 0.05 0.68% |
| 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.
| 09/09/2023 |
| 12/08/2023 |
If you would invest 0.00 in Fidelity Sai on September 9, 2023 and sell it all today you would earn a total of 0.00 from holding Fidelity Sai Long Term or generate 0.0% return on investment in Fidelity Sai over 90 days. Fidelity Sai is related to or competes with Fidelity Series, Us Treasury, Vanguard Extended, and Franklin Income. The fund normally invests at least 80 percent of assets in securities included in the Bloomberg Barclays 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 Long Term upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.43 | |||
| Information Ratio | 0.0155 | |||
| Maximum Drawdown | 5.01 | |||
| Value At Risk | (2.35) | |||
| Potential Upside | 2.16 |
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 | 0.0311 | |||
| Jensen Alpha | 0.0265 | |||
| Total Risk Alpha | 0.0088 | |||
| Sortino Ratio | 0.0144 | |||
| Treynor Ratio | 0.0578 |
Sophisticated investors, who have witnessed many market ups and downs, frequently view 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. Please use the tools below to analyze the current value of Fidelity Sai in the context of predictive analytics.
Fidelity Sai Long-term Backtested Returns
We consider Fidelity Sai not too volatile. Fidelity Sai Long-term secures Sharpe Ratio (or Efficiency) of 0.0375, which denotes the fund had 0.0375% of return per unit of risk over the last 3 months. Our standpoint towards predicting the volatility of a fund is to use all available market data together with fund-specific technical indicators that cannot be diversified away. We have found twenty-one technical indicators for Fidelity Sai Long Term, which you can use to evaluate the future volatility of the entity. Please confirm Fidelity Sai Long-term Coefficient Of Variation of 2857.85, mean deviation of 1.09, and Downside Deviation of 1.43 to check if the risk estimate we provide is consistent with the expected return of 0.0512%. The fund shows a Beta (market volatility) of 0.6374, which means possible diversification benefits within a given portfolio. As returns on the market increase, Fidelity Sai returns are expected to increase less than the market. However, during the bear market, the loss on holding Fidelity Sai will be expected to be smaller as well. Our main philosophy towards predicting future performance of any fund is to evaluate the business as a whole together with its past performance, including all available fundamental and technical indicators. By reviewing Fidelity Sai Long-term technical indicators, you can presently evaluate if the expected return of 0.0512% will be sustainable into the future.
Auto-correlation | -0.91 |
Near perfect reversele predictability
Fidelity Sai Long Term has near perfect reversele predictability. Overlapping area represents the amount of predictability between Fidelity Sai time series from 9th of September 2023 to 24th of October 2023 and 24th of October 2023 to 8th of December 2023. 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 Long-term price movement. The serial correlation of -0.91 indicates that approximately 91.0% of current Fidelity Sai price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.91 | |
| Spearman Rank Test | -0.88 | |
| Residual Average | 0.0 | |
| Price Variance | 0.07 |
Fidelity Sai Long-term 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 mutual fund has exhibited high autocorrelation historically, and you observe that the stock is moving up for the past few days. In that case, you can expect the stock 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 Long Term.
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.
Becoming a Better Investor with Macroaxis
Macroaxis puts the power of mathematics on your side. We analyze your portfolios and positions such as Fidelity Sai Long-term using complex mathematical models and algorithms, but make them easy to understand. There is no real person involved in your portfolio analysis. We perform a number of calculations to compute absolute and relative portfolio volatility, correlation between your assets, value at risk, expected return as well as over 100 different fundamental and technical indicators.Build Optimal Portfolios
Align your risk with return expectations
Check out Fidelity Sai Correlation, Fidelity Sai Volatility and Fidelity Sai Alpha and Beta module to complement your research on Fidelity Sai. You can also try the Alpha Finder module to use alpha and beta coefficients to find investment opportunities after accounting for the risk.
Complementary Tools for Fidelity Mutual Fund analysis
When running Fidelity Sai's price analysis, check to measure Fidelity Sai'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 Sai is operating at the current time. Most of Fidelity Sai's value examination focuses on studying past and present price action to predict the probability of Fidelity Sai'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 Sai's price. Additionally, you may evaluate how the addition of Fidelity Sai to your portfolios can decrease your overall portfolio volatility.
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