Etracs Bloomberg Commodity Etf Market Value

DJCB Etf  USD 20.24  0.14  0.69%   
ETRACS Bloomberg's market value is the price at which a share of ETRACS Bloomberg trades on a public exchange. It measures the collective expectations of ETRACS Bloomberg Commodity investors about its performance. ETRACS Bloomberg is trading at 20.24 as of the 1st of December 2024, a 0.69 percent decrease since the beginning of the trading day. The etf's open price was 20.38.
With this module, you can estimate the performance of a buy and hold strategy of ETRACS Bloomberg Commodity and determine expected loss or profit from investing in ETRACS Bloomberg over a given investment horizon. Check out ETRACS Bloomberg Correlation, ETRACS Bloomberg Volatility and ETRACS Bloomberg Alpha and Beta module to complement your research on ETRACS Bloomberg.
Symbol

The market value of ETRACS Bloomberg Com is measured differently than its book value, which is the value of ETRACS that is recorded on the company's balance sheet. Investors also form their own opinion of ETRACS Bloomberg's value that differs from its market value or its book value, called intrinsic value, which is ETRACS Bloomberg's true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because ETRACS Bloomberg's market value can be influenced by many factors that don't directly affect ETRACS Bloomberg's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between ETRACS Bloomberg's value and its price as these two are different measures arrived at by different means. Investors typically determine if ETRACS Bloomberg is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, ETRACS Bloomberg's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.

ETRACS Bloomberg '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 ETRACS Bloomberg's etf 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 ETRACS Bloomberg.
0.00
06/10/2023
No Change 0.00  0.0 
In 1 year 5 months and 24 days
12/01/2024
0.00
If you would invest  0.00  in ETRACS Bloomberg on June 10, 2023 and sell it all today you would earn a total of 0.00 from holding ETRACS Bloomberg Commodity or generate 0.0% return on investment in ETRACS Bloomberg over 540 days. ETRACS Bloomberg is related to or competes with UBS AG, IShares Bloomberg, GraniteShares Bloomberg, Abrdn Bloomberg, and USCF SummerHaven. The index is composed of the prices of twenty-one exchange-traded futures contracts on physical commodities More

ETRACS Bloomberg 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 ETRACS Bloomberg's etf 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 ETRACS Bloomberg Commodity upside and downside potential and time the market with a certain degree of confidence.

ETRACS Bloomberg Market Risk Indicators

Today, many novice investors tend to focus exclusively on investment returns with little concern for ETRACS Bloomberg's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as ETRACS Bloomberg's standard deviation. In reality, there are many statistical measures that can use ETRACS Bloomberg historical prices to predict the future ETRACS Bloomberg's volatility.
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of ETRACS Bloomberg'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.
Hype
Prediction
LowEstimatedHigh
17.7220.2122.70
Details
Intrinsic
Valuation
LowRealHigh
16.2418.7321.22
Details
Naive
Forecast
LowNextHigh
17.6520.1422.63
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
20.1120.6021.10
Details

ETRACS Bloomberg Com Backtested Returns

At this point, ETRACS Bloomberg is not too volatile. ETRACS Bloomberg Com secures Sharpe Ratio (or Efficiency) of 0.0241, which denotes the etf had a 0.0241% return per unit of volatility over the last 3 months. We have found thirty technical indicators for ETRACS Bloomberg Commodity, which you can use to evaluate the volatility of the entity. Please confirm ETRACS Bloomberg's Downside Deviation of 2.96, market risk adjusted performance of (0.45), and Mean Deviation of 1.58 to check if the risk estimate we provide is consistent with the expected return of 0.0601%. The etf shows a Beta (market volatility) of -0.11, which means not very significant fluctuations relative to the market. As returns on the market increase, returns on owning ETRACS Bloomberg are expected to decrease at a much lower rate. During the bear market, ETRACS Bloomberg is likely to outperform the market.

Auto-correlation

    
  0.26  

Poor predictability

ETRACS Bloomberg Commodity has poor predictability. Overlapping area represents the amount of predictability between ETRACS Bloomberg time series from 10th of June 2023 to 6th of March 2024 and 6th of March 2024 to 1st of December 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 ETRACS Bloomberg Com price movement. The serial correlation of 0.26 indicates that nearly 26.0% of current ETRACS Bloomberg price fluctuation can be explain by its past prices.
Correlation Coefficient0.26
Spearman Rank Test0.06
Residual Average0.0
Price Variance0.54

ETRACS Bloomberg Com lagged returns against current returns

Autocorrelation, which is ETRACS Bloomberg etf'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 ETRACS Bloomberg's etf expected returns. We can calculate the autocorrelation of ETRACS Bloomberg returns to help us make a trade decision. For example, suppose you find that ETRACS Bloomberg has exhibited high autocorrelation historically, and you observe that the etf 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  

ETRACS Bloomberg 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 ETRACS Bloomberg etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if ETRACS Bloomberg etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in ETRACS Bloomberg etf over time.
   Current vs Lagged Prices   
       Timeline  

ETRACS Bloomberg Lagged Returns

When evaluating ETRACS Bloomberg's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of ETRACS Bloomberg etf have on its future price. ETRACS Bloomberg 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, ETRACS Bloomberg autocorrelation shows the relationship between ETRACS Bloomberg etf current value and its past values and can show if there is a momentum factor associated with investing in ETRACS Bloomberg Commodity.
   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.
When determining whether ETRACS Bloomberg Com offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of ETRACS Bloomberg's financial statements, including income statements, balance sheets, and cash flow statements, to assess its financial health. Key financial ratios are used to gauge profitability, efficiency, and growth potential of Etracs Bloomberg Commodity Etf. Outlined below are crucial reports that will aid in making a well-informed decision on Etracs Bloomberg Commodity Etf:
Check out ETRACS Bloomberg Correlation, ETRACS Bloomberg Volatility and ETRACS Bloomberg Alpha and Beta module to complement your research on ETRACS Bloomberg.
You can also try the Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
ETRACS Bloomberg technical etf 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, etf market cycles, or different charting patterns.
A focus of ETRACS Bloomberg technical analysis is to determine if market prices reflect all relevant information impacting that market. A technical analyst looks at the history of ETRACS Bloomberg trading pattern rather than external drivers such as economic, fundamental, or social events. It is believed that price action tends to repeat itself due to investors' collective, patterned behavior. Hence technical analysis focuses on identifiable price trends and conditions. More Info...