Bloomberg Commodity's market value is the price at which a share of Bloomberg Commodity trades on a public exchange. It measures the collective expectations of Bloomberg Commodity investors about its performance. Bloomberg Commodity is enlisted at 100.62 as of the 4th of August 2025; that is 0.55% down since the beginning of the trading day. The index's open price was 101.18. With this module, you can estimate the performance of a buy and hold strategy of Bloomberg Commodity and determine expected loss or profit from investing in Bloomberg Commodity over a given investment horizon. Check out Trending Equities to better understand how to build diversified portfolios. Also, note that the market value of any index could be closely tied with the direction of predictive economic indicators such as signals in board of governors.
Symbol
Bloomberg
Bloomberg 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 Bloomberg Commodity's index 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 Bloomberg Commodity.
0.00
05/06/2025
No Change 0.00
0.0
In 3 months and 1 day
08/04/2025
0.00
If you would invest 0.00 in Bloomberg Commodity on May 6, 2025 and sell it all today you would earn a total of 0.00 from holding Bloomberg Commodity or generate 0.0% return on investment in Bloomberg Commodity over 90 days.
Bloomberg 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 Bloomberg Commodity's index 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 Bloomberg Commodity upside and downside potential and time the market with a certain degree of confidence.
Today, many novice investors tend to focus exclusively on investment returns with little concern for Bloomberg Commodity's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Bloomberg Commodity's standard deviation. In reality, there are many statistical measures that can use Bloomberg Commodity historical prices to predict the future Bloomberg Commodity's volatility.
Bloomberg Commodity secures Sharpe Ratio (or Efficiency) of -0.0272, which signifies that the index had a -0.0272 % return per unit of risk over the last 3 months. Bloomberg Commodity exposes twenty-seven different technical indicators, which can help you to evaluate volatility embedded in its price movement. The index shows a Beta (market volatility) of 0.0, which signifies not very significant fluctuations relative to the market. the returns on MARKET and Bloomberg Commodity are completely uncorrelated.
Auto-correlation
-0.6
Good reverse predictability
Bloomberg Commodity has good reverse predictability. Overlapping area represents the amount of predictability between Bloomberg Commodity time series from 6th of May 2025 to 20th of June 2025 and 20th of June 2025 to 4th of August 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 Bloomberg Commodity price movement. The serial correlation of -0.6 indicates that roughly 60.0% of current Bloomberg Commodity price fluctuation can be explain by its past prices.
Correlation Coefficient
-0.6
Spearman Rank Test
0.03
Residual Average
0.0
Price Variance
1.7
Bloomberg Commodity lagged returns against current returns
Autocorrelation, which is Bloomberg Commodity index'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 Bloomberg Commodity's index expected returns. We can calculate the autocorrelation of Bloomberg Commodity returns to help us make a trade decision. For example, suppose you find that Bloomberg Commodity has exhibited high autocorrelation historically, and you observe that the index 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
Bloomberg 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 Bloomberg Commodity index is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Bloomberg Commodity index is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Bloomberg Commodity index over time.
Current vs Lagged Prices
Timeline
Bloomberg Commodity Lagged Returns
When evaluating Bloomberg Commodity's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Bloomberg Commodity index have on its future price. Bloomberg 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, Bloomberg Commodity autocorrelation shows the relationship between Bloomberg Commodity index current value and its past values and can show if there is a momentum factor associated with investing in Bloomberg Commodity.
Regressed Prices
Timeline
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