Brokerage And Investment Fund Market Value
| FSLBX Fund | USD 138.99 0.22 0.16% |
| Symbol | Brokerage |
Brokerage '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 Brokerage'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 Brokerage.
| 03/20/2024 |
| 04/19/2024 |
If you would invest 0.00 in Brokerage on March 20, 2024 and sell it all today you would earn a total of 0.00 from holding Brokerage And Investment or generate 0.0% return on investment in Brokerage over 30 days. Brokerage 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 its assets in securities of companies principally engaged in the exchan... More
Brokerage 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 Brokerage'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 Brokerage And Investment upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.12 | |||
| Information Ratio | 0.0412 | |||
| Maximum Drawdown | 4.1 | |||
| Value At Risk | (1.72) | |||
| Potential Upside | 1.42 |
Brokerage Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Brokerage's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Brokerage's standard deviation. In reality, there are many statistical measures that can use Brokerage historical prices to predict the future Brokerage's volatility.| Risk Adjusted Performance | 0.0752 | |||
| Jensen Alpha | 0.0256 | |||
| Total Risk Alpha | 0.0098 | |||
| Sortino Ratio | 0.0336 | |||
| Treynor Ratio | 0.0798 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Brokerage'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.
Brokerage And Investment Backtested Returns
We consider Brokerage very steady. Brokerage And Investment secures Sharpe Ratio (or Efficiency) of 0.0885, which signifies that the fund had a 0.0885% return per unit of risk over the last 3 months. We have found twenty-seven technical indicators for Brokerage And Investment, which you can use to evaluate the volatility of the entity. Please confirm Brokerage's Mean Deviation of 0.6844, downside deviation of 1.12, and Risk Adjusted Performance of 0.0752 to double-check if the risk estimate we provide is consistent with the expected return of 0.0812%. The fund shows a Beta (market volatility) of 1.2, which signifies a somewhat significant risk relative to the market. As the market goes up, the company is expected to outperform it. However, if the market returns are negative, Brokerage will likely underperform.
Auto-correlation | 0.35 |
Below average predictability
Brokerage And Investment has below average predictability. Overlapping area represents the amount of predictability between Brokerage time series from 20th of March 2024 to 4th of April 2024 and 4th of April 2024 to 19th 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 Brokerage And Investment price movement. The serial correlation of 0.35 indicates that nearly 35.0% of current Brokerage price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.35 | |
| Spearman Rank Test | 0.03 | |
| Residual Average | 0.0 | |
| Price Variance | 9.88 |
Brokerage And Investment lagged returns against current returns
Autocorrelation, which is Brokerage 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 Brokerage's mutual fund expected returns. We can calculate the autocorrelation of Brokerage returns to help us make a trade decision. For example, suppose you find that Brokerage 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 |
Brokerage 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 Brokerage mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Brokerage mutual fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Brokerage mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Brokerage Lagged Returns
When evaluating Brokerage's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Brokerage mutual fund have on its future price. Brokerage 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, Brokerage autocorrelation shows the relationship between Brokerage mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Brokerage And Investment.
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 Brokerage 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, Brokerage's short interest history, or implied volatility extrapolated from Brokerage options trading.
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Try AI Portfolio ArchitectCheck out Brokerage Correlation, Brokerage Volatility and Brokerage Alpha and Beta module to complement your research on Brokerage. Note that the Brokerage And Investment information on this page should be used as a complementary analysis to other Brokerage'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 Global Markets Map module to get a quick overview of global market snapshot using zoomable world map. Drill down to check world indexes.
Brokerage 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.