Blackrock Smallmid Cap Fund Market Value
| BSMKX Fund | USD 15.05 0.04 0.27% |
| Symbol | Blackrock |
Blackrock Smallmid '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 Smallmid'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 Smallmid.
| 03/19/2024 |
| 04/18/2024 |
If you would invest 0.00 in Blackrock Smallmid on March 19, 2024 and sell it all today you would earn a total of 0.00 from holding Blackrock Smallmid Cap or generate 0.0% return on investment in Blackrock Smallmid over 30 days. Blackrock Smallmid is related to or competes with Vanguard Small, Fidelity Small, T Rowe, and T Rowe. The fund seeks to track the investment results of the Russell 2500 Index, which measures the performance of the small to... More
Blackrock Smallmid 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 Smallmid'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 Smallmid Cap upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.2 | |||
| Information Ratio | (0.03) | |||
| Maximum Drawdown | 4.51 | |||
| Value At Risk | (1.78) | |||
| Potential Upside | 1.59 |
Blackrock Smallmid Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Blackrock Smallmid's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Blackrock Smallmid's standard deviation. In reality, there are many statistical measures that can use Blackrock Smallmid historical prices to predict the future Blackrock Smallmid's volatility.| Risk Adjusted Performance | 0.0194 | |||
| Jensen Alpha | (0.05) | |||
| Total Risk Alpha | (0.06) | |||
| Sortino Ratio | (0.02) | |||
| Treynor Ratio | 0.0104 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Blackrock Smallmid'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 Smallmid Cap Backtested Returns
We consider Blackrock Smallmid very steady. Blackrock Smallmid Cap secures Sharpe Ratio (or Efficiency) of 0.0213, which signifies that the fund had a 0.0213% return per unit of standard deviation over the last 3 months. We have found twenty-eight technical indicators for Blackrock Smallmid Cap, which you can use to evaluate the volatility of the entity. Please confirm Blackrock Smallmid's risk adjusted performance of 0.0194, and Mean Deviation of 0.8381 to double-check if the risk estimate we provide is consistent with the expected return of 0.0224%. The fund shows a Beta (market volatility) of 1.5, 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 Smallmid will likely underperform.
Auto-correlation | -0.27 |
Weak reverse predictability
Blackrock Smallmid Cap has weak reverse predictability. Overlapping area represents the amount of predictability between Blackrock Smallmid time series from 19th of March 2024 to 3rd of April 2024 and 3rd of April 2024 to 18th 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 Blackrock Smallmid Cap price movement. The serial correlation of -0.27 indicates that nearly 27.0% of current Blackrock Smallmid price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.27 | |
| Spearman Rank Test | -0.44 | |
| Residual Average | 0.0 | |
| Price Variance | 0.12 |
Blackrock Smallmid Cap lagged returns against current returns
Autocorrelation, which is Blackrock Smallmid 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 Smallmid's mutual fund expected returns. We can calculate the autocorrelation of Blackrock Smallmid returns to help us make a trade decision. For example, suppose you find that Blackrock Smallmid 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 Smallmid 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 Smallmid mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Blackrock Smallmid 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 Smallmid mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Blackrock Smallmid Lagged Returns
When evaluating Blackrock Smallmid's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Blackrock Smallmid mutual fund have on its future price. Blackrock Smallmid 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 Smallmid autocorrelation shows the relationship between Blackrock Smallmid mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Blackrock Smallmid Cap.
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 Blackrock Smallmid 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, Blackrock Smallmid's short interest history, or implied volatility extrapolated from Blackrock Smallmid options trading.
Pair Trading with Blackrock Smallmid
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Blackrock Smallmid position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Blackrock Smallmid will appreciate offsetting losses from the drop in the long position's value.Moving together with Blackrock Mutual Fund
| 0.71 | MKCMX | Blackrock California | PairCorr |
| 0.86 | MKDCX | Blackrock Emerging | PairCorr |
| 0.95 | MKDVX | Blackrock Equity Dividend | PairCorr |
| 0.66 | MKMTX | Blackrock Strategic | PairCorr |
The ability to find closely correlated positions to Blackrock Smallmid could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Blackrock Smallmid when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Blackrock Smallmid - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Blackrock Smallmid Cap to buy it.
The correlation of Blackrock Smallmid is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Blackrock Smallmid moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Blackrock Smallmid Cap moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Blackrock Smallmid can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.Check out Blackrock Smallmid Correlation, Blackrock Smallmid Volatility and Blackrock Smallmid Alpha and Beta module to complement your research on Blackrock Smallmid. You can also try the Insider Screener module to find insiders across different sectors to evaluate their impact on performance.
Blackrock Smallmid 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.