Blackrock Multi Asset Income Fund Market Value
| BKMIX Fund | USD 9.82 0.01 0.10% |
| Symbol | Blackrock |
Blackrock Multi '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 Multi'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 Multi.
| 03/20/2024 |
| 04/19/2024 |
If you would invest 0.00 in Blackrock Multi on March 20, 2024 and sell it all today you would earn a total of 0.00 from holding Blackrock Multi Asset Income or generate 0.0% return on investment in Blackrock Multi over 30 days. Blackrock Multi is related to or competes with Blackrock California, Blackrock Balanced, Blackrock Eurofund, Blackrock Emerging, Blackrock Equity, Blackrock Advantage, and Blackrock Strategic. The fund may invest up to 60 percent of its assets in equity securities and up to 100 percent of its assets in fixed inc... More
Blackrock Multi 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 Multi'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 Multi Asset Income upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.4046 | |||
| Information Ratio | (0.17) | |||
| Maximum Drawdown | 1.8 | |||
| Value At Risk | (0.51) | |||
| Potential Upside | 0.4111 |
Blackrock Multi Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Blackrock Multi's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Blackrock Multi's standard deviation. In reality, there are many statistical measures that can use Blackrock Multi historical prices to predict the future Blackrock Multi's volatility.| Risk Adjusted Performance | 0.0155 | |||
| Jensen Alpha | (0.02) | |||
| Total Risk Alpha | (0.03) | |||
| Sortino Ratio | (0.14) | |||
| Treynor Ratio | 0.007 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Blackrock Multi'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 Multi Asset Backtested Returns
We consider Blackrock Multi very steady. Blackrock Multi Asset secures Sharpe Ratio (or Efficiency) of 0.0412, which signifies that the fund had a 0.0412% return per unit of standard deviation over the last 3 months. We have found twenty-seven technical indicators for Blackrock Multi Asset Income, which you can use to evaluate the volatility of the entity. Please confirm Blackrock Multi's mean deviation of 0.2381, and Risk Adjusted Performance of 0.0155 to double-check if the risk estimate we provide is consistent with the expected return of 0.0135%. The fund shows a Beta (market volatility) of 0.42, which signifies possible diversification benefits within a given portfolio. As returns on the market increase, Blackrock Multi's returns are expected to increase less than the market. However, during the bear market, the loss of holding Blackrock Multi is expected to be smaller as well.
Auto-correlation | -0.37 |
Poor reverse predictability
Blackrock Multi Asset Income has poor reverse predictability. Overlapping area represents the amount of predictability between Blackrock Multi 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 Blackrock Multi Asset price movement. The serial correlation of -0.37 indicates that just about 37.0% of current Blackrock Multi price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.37 | |
| Spearman Rank Test | -0.67 | |
| Residual Average | 0.0 | |
| Price Variance | 0.01 |
Blackrock Multi Asset lagged returns against current returns
Autocorrelation, which is Blackrock Multi 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 Multi's mutual fund expected returns. We can calculate the autocorrelation of Blackrock Multi returns to help us make a trade decision. For example, suppose you find that Blackrock Multi 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 Multi 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 Multi mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Blackrock Multi 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 Multi mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Blackrock Multi Lagged Returns
When evaluating Blackrock Multi's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Blackrock Multi mutual fund have on its future price. Blackrock Multi 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 Multi autocorrelation shows the relationship between Blackrock Multi mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Blackrock Multi Asset Income.
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 Multi 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 Multi's short interest history, or implied volatility extrapolated from Blackrock Multi options trading.
Pair Trading with Blackrock Multi
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 Multi 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 Multi will appreciate offsetting losses from the drop in the long position's value.Moving together with Blackrock Mutual Fund
| 0.74 | MKCMX | Blackrock California | PairCorr |
| 0.96 | MKCPX | Blackrock Balanced | PairCorr |
| 0.91 | MKEFX | Blackrock Eurofund Class | PairCorr |
| 0.9 | MKDCX | Blackrock Emerging | PairCorr |
| 0.96 | MKDVX | Blackrock Equity Dividend | PairCorr |
The ability to find closely correlated positions to Blackrock Multi 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 Multi 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 Multi - 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 Multi Asset Income to buy it.
The correlation of Blackrock Multi 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 Multi moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Blackrock Multi Asset 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 Multi 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 Multi Correlation, Blackrock Multi Volatility and Blackrock Multi Alpha and Beta module to complement your research on Blackrock Multi. You can also try the Portfolio Analyzer module to portfolio analysis module that provides access to portfolio diagnostics and optimization engine.
Blackrock Multi 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.