Blackrock Commodity Strategies Fund Market Value
| BICSX Fund | USD 8.70 0.01 0.11% |
| Symbol | Blackrock |
Blackrock Commodity '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 Commodity'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 Commodity.
| 12/20/2024 |
| 01/19/2025 |
If you would invest 0.00 in Blackrock Commodity on December 20, 2024 and sell it all today you would earn a total of 0.00 from holding Blackrock Commodity Strategies or generate 0.0% return on investment in Blackrock Commodity over 30 days. Blackrock Commodity is related to or competes with Kinetics Small, Needham Small, Hunter Small, Sp Smallcap, Tax-managed, Vy Columbia, and Touchstone Small. The adviser utilizes two strategies and under normal circumstances expects to invest approximately 50 percent of its tot... More
Blackrock Commodity 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 Commodity'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 Commodity Strategies upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.04) | |||
| Maximum Drawdown | 3.48 | |||
| Value At Risk | (1.15) | |||
| Potential Upside | 1.08 |
Blackrock Commodity Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Blackrock Commodity's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Blackrock Commodity's standard deviation. In reality, there are many statistical measures that can use Blackrock Commodity historical prices to predict the future Blackrock Commodity's volatility.| Risk Adjusted Performance | (0) | |||
| Jensen Alpha | (0.01) | |||
| Total Risk Alpha | (0.03) | |||
| Treynor Ratio | (0.12) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Blackrock Commodity'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 Commodity Backtested Returns
Blackrock Commodity secures Sharpe Ratio (or Efficiency) of -0.0043, which signifies that the fund had a -0.0043% return per unit of standard deviation over the last 3 months. Blackrock Commodity Strategies exposes twenty-one different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm Blackrock Commodity's mean deviation of 0.5475, and Risk Adjusted Performance of (0) to double-check the risk estimate we provide. The fund shows a Beta (market volatility) of 0.0904, which signifies not very significant fluctuations relative to the market. As returns on the market increase, Blackrock Commodity's returns are expected to increase less than the market. However, during the bear market, the loss of holding Blackrock Commodity is expected to be smaller as well.
Auto-correlation | 0.85 |
Very good predictability
Blackrock Commodity Strategies has very good predictability. Overlapping area represents the amount of predictability between Blackrock Commodity time series from 20th of December 2024 to 4th of January 2025 and 4th of January 2025 to 19th of January 2025. 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 Commodity price movement. The serial correlation of 0.85 indicates that around 85.0% of current Blackrock Commodity price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.85 | |
| Spearman Rank Test | 0.92 | |
| Residual Average | 0.0 | |
| Price Variance | 0.01 |
Blackrock Commodity lagged returns against current returns
Autocorrelation, which is Blackrock Commodity 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 Commodity's mutual fund expected returns. We can calculate the autocorrelation of Blackrock Commodity returns to help us make a trade decision. For example, suppose you find that Blackrock Commodity 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 Commodity 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 Commodity mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Blackrock Commodity 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 Commodity mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Blackrock Commodity Lagged Returns
When evaluating Blackrock Commodity's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Blackrock Commodity mutual fund have on its future price. Blackrock Commodity 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 Commodity autocorrelation shows the relationship between Blackrock Commodity mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Blackrock Commodity Strategies.
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.| BTC | Bitcoin | |
| TRX | TRON | |
| BNB | Binance Coin |
Other Information on Investing in Blackrock Mutual Fund
Blackrock Commodity financial ratios help investors to determine whether Blackrock Mutual Fund is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Blackrock with respect to the benefits of owning Blackrock Commodity security.
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