Blackrock Science Technology Fund Market Value
| BGSAX Fund | USD 59.21 0.14 0.24% |
| Symbol | Blackrock |
Blackrock Science '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 Blackrock Science'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 Blackrock Science.
| 05/31/2022 |
| 05/20/2024 |
If you would invest 0.00 in Blackrock Science on May 31, 2022 and sell it all today you would earn a total of 0.00 from holding Blackrock Science Technology or generate 0.0% return on investment in Blackrock Science over 720 days. Blackrock Science is related to or competes with Live Oak, HUMANA, Barloworld, Morningstar Unconstrained, High Yield, Thrivent High, and Via Renewables. The fund invests at least 80 percent of its net assets in equity securities issued by U.S More
Blackrock Science 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 Blackrock Science'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 Blackrock Science Technology upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.26 | |||
| Information Ratio | (0.02) | |||
| Maximum Drawdown | 7.76 | |||
| Value At Risk | (2.01) | |||
| Potential Upside | 2.3 |
Blackrock Science Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Blackrock Science's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Blackrock Science's standard deviation. In reality, there are many statistical measures that can use Blackrock Science historical prices to predict the future Blackrock Science's volatility.| Risk Adjusted Performance | 0.0355 | |||
| Jensen Alpha | (0.08) | |||
| Total Risk Alpha | (0.15) | |||
| Sortino Ratio | (0.02) | |||
| Treynor Ratio | 0.0399 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Blackrock Science'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.
Blackrock Science Backtested Returns
We consider Blackrock Science very steady. Blackrock Science secures Sharpe Ratio (or Efficiency) of 0.0788, which signifies that the fund had a 0.0788% return per unit of standard deviation over the last 3 months. We have found twenty-eight technical indicators for Blackrock Science Technology, which you can use to evaluate the volatility of the entity. Please confirm Blackrock Science's risk adjusted performance of 0.0355, and Mean Deviation of 1.08 to double-check if the risk estimate we provide is consistent with the expected return of 0.11%. The fund shows a Beta (market volatility) of 1.55, 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, Blackrock Science will likely underperform.
Auto-correlation | 0.26 |
Poor predictability
Blackrock Science Technology has poor predictability. Overlapping area represents the amount of predictability between Blackrock Science time series from 31st of May 2022 to 26th of May 2023 and 26th of May 2023 to 20th of May 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 Blackrock Science price movement. The serial correlation of 0.26 indicates that nearly 26.0% of current Blackrock Science price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.26 | |
| Spearman Rank Test | 0.13 | |
| Residual Average | 0.0 | |
| Price Variance | 29.99 |
Blackrock Science lagged returns against current returns
Autocorrelation, which is Blackrock Science 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 Blackrock Science's mutual fund expected returns. We can calculate the autocorrelation of Blackrock Science returns to help us make a trade decision. For example, suppose you find that Blackrock Science 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 |
Blackrock Science 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 Blackrock Science mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Blackrock Science mutual fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Blackrock Science mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Blackrock Science Lagged Returns
When evaluating Blackrock Science's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Blackrock Science mutual fund have on its future price. Blackrock Science 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, Blackrock Science autocorrelation shows the relationship between Blackrock Science mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Blackrock Science Technology.
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.Check out Blackrock Science Correlation, Blackrock Science Volatility and Blackrock Science Alpha and Beta module to complement your research on Blackrock Science. Note that the Blackrock Science information on this page should be used as a complementary analysis to other Blackrock Science'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 Latest Portfolios module to quick portfolio dashboard that showcases your latest portfolios.
Blackrock Science 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.