Blackrock Floating Rate Fund Market Value
| BFRCX Fund | USD 9.70 0.01 0.10% |
| Symbol | Blackrock |
Blackrock Floating '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 Floating'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 Floating.
| 01/25/2024 |
| 04/24/2024 |
If you would invest 0.00 in Blackrock Floating on January 25, 2024 and sell it all today you would earn a total of 0.00 from holding Blackrock Floating Rate or generate 0.0% return on investment in Blackrock Floating over 90 days. Blackrock Floating is related to or competes with Floating Rate, Floating Rate, Floating Rate, and Floating Rate. The fund normally invests at least 80 percent of its assets in floating rate investments and investments that are the ec... More
Blackrock Floating 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 Floating'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 Floating Rate upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.2413 | |||
| Information Ratio | (0.47) | |||
| Maximum Drawdown | 1.24 | |||
| Value At Risk | (0.10) | |||
| Potential Upside | 0.104 |
Blackrock Floating Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Blackrock Floating's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Blackrock Floating's standard deviation. In reality, there are many statistical measures that can use Blackrock Floating historical prices to predict the future Blackrock Floating's volatility.| Risk Adjusted Performance | 0.0447 | |||
| Jensen Alpha | 0.0055 | |||
| Total Risk Alpha | (0.01) | |||
| Sortino Ratio | (0.32) | |||
| Treynor Ratio | 0.2177 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Blackrock Floating'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 Floating Rate Backtested Returns
We consider Blackrock Floating very steady. Blackrock Floating Rate secures Sharpe Ratio (or Efficiency) of 0.12, which signifies that the fund had a 0.12% return per unit of standard deviation over the last 3 months. We have found twenty-six technical indicators for Blackrock Floating Rate, which you can use to evaluate the volatility of the entity. Please confirm Blackrock Floating's risk adjusted performance of 0.0447, and Mean Deviation of 0.0754 to double-check if the risk estimate we provide is consistent with the expected return of 0.0202%. The fund shows a Beta (market volatility) of 0.0413, which signifies not very significant fluctuations relative to the market. As returns on the market increase, Blackrock Floating's returns are expected to increase less than the market. However, during the bear market, the loss of holding Blackrock Floating is expected to be smaller as well.
Auto-correlation | -0.56 |
Good reverse predictability
Blackrock Floating Rate has good reverse predictability. Overlapping area represents the amount of predictability between Blackrock Floating time series from 25th of January 2024 to 10th of March 2024 and 10th of March 2024 to 24th 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 Floating Rate price movement. The serial correlation of -0.56 indicates that roughly 56.0% of current Blackrock Floating price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.56 | |
| Spearman Rank Test | -0.58 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Blackrock Floating Rate lagged returns against current returns
Autocorrelation, which is Blackrock Floating 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 Floating's mutual fund expected returns. We can calculate the autocorrelation of Blackrock Floating returns to help us make a trade decision. For example, suppose you find that Blackrock Floating 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 Floating 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 Floating mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Blackrock Floating 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 Floating mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Blackrock Floating Lagged Returns
When evaluating Blackrock Floating's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Blackrock Floating mutual fund have on its future price. Blackrock Floating 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 Floating autocorrelation shows the relationship between Blackrock Floating mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Blackrock Floating Rate.
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 Floating 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 Floating's short interest history, or implied volatility extrapolated from Blackrock Floating options trading.
Pair Trading with Blackrock Floating
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 Floating 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 Floating 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 |
| 0.9 | MKCPX | Blackrock Balanced | PairCorr |
| 0.9 | MKEFX | Blackrock Eurofund Class | PairCorr |
| 0.81 | MKDCX | Blackrock Emerging | PairCorr |
| 0.87 | MKDVX | Blackrock Equity Dividend | PairCorr |
The ability to find closely correlated positions to Blackrock Floating 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 Floating 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 Floating - 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 Floating Rate to buy it.
The correlation of Blackrock Floating 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 Floating moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Blackrock Floating Rate 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 Floating 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 Floating Correlation, Blackrock Floating Volatility and Blackrock Floating Alpha and Beta module to complement your research on Blackrock Floating. Note that the Blackrock Floating Rate information on this page should be used as a complementary analysis to other Blackrock Floating'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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
Blackrock Floating 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.