Exchange Traded Concepts Etf Market Value

COAL Etf   23.74  0.13  0.55%   
Exchange Traded's market value is the price at which a share of Exchange Traded trades on a public exchange. It measures the collective expectations of Exchange Traded Concepts investors about its performance. Exchange Traded is selling for 23.74 as of the 25th of December 2025. This is a 0.55 percent up since the beginning of the trading day. The etf's lowest day price was 23.59.
With this module, you can estimate the performance of a buy and hold strategy of Exchange Traded Concepts and determine expected loss or profit from investing in Exchange Traded over a given investment horizon. Check out Exchange Traded Correlation, Exchange Traded Volatility and Exchange Traded Alpha and Beta module to complement your research on Exchange Traded.
Symbol

The market value of Exchange Traded Concepts is measured differently than its book value, which is the value of Exchange that is recorded on the company's balance sheet. Investors also form their own opinion of Exchange Traded's value that differs from its market value or its book value, called intrinsic value, which is Exchange Traded'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 Exchange Traded's market value can be influenced by many factors that don't directly affect Exchange Traded'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 Exchange Traded's value and its price as these two are different measures arrived at by different means. Investors typically determine if Exchange Traded is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Exchange Traded'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.

Exchange Traded '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 Exchange Traded'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 Exchange Traded.
0.00
06/28/2025
No Change 0.00  0.0 
In 5 months and 30 days
12/25/2025
0.00
If you would invest  0.00  in Exchange Traded on June 28, 2025 and sell it all today you would earn a total of 0.00 from holding Exchange Traded Concepts or generate 0.0% return on investment in Exchange Traded over 180 days. Exchange Traded is related to or competes with Sprott Junior, American Century, Alpha Architect, OTG Latin, Formidable ETF, Franklin Templeton, and PGIM ETF. More

Exchange Traded 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 Exchange Traded'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 Exchange Traded Concepts upside and downside potential and time the market with a certain degree of confidence.

Exchange Traded Market Risk Indicators

Today, many novice investors tend to focus exclusively on investment returns with little concern for Exchange Traded's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Exchange Traded's standard deviation. In reality, there are many statistical measures that can use Exchange Traded historical prices to predict the future Exchange Traded's volatility.
Hype
Prediction
LowEstimatedHigh
22.0023.7425.48
Details
Intrinsic
Valuation
LowRealHigh
21.7623.5025.24
Details
Naive
Forecast
LowNextHigh
22.2123.9525.70
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
21.0722.7224.37
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Exchange Traded. Your research has to be compared to or analyzed against Exchange Traded's peers to derive any actionable benefits. When done correctly, Exchange Traded's competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy toward taking a position in Exchange Traded Concepts.

Exchange Traded Concepts Backtested Returns

As of now, Exchange Etf is very steady. Exchange Traded Concepts secures Sharpe Ratio (or Efficiency) of 0.0713, which denotes the etf had a 0.0713 % return per unit of standard deviation over the last 3 months. We have found twenty-nine technical indicators for Exchange Traded Concepts, which you can use to evaluate the volatility of the entity. Please confirm Exchange Traded's Semi Deviation of 1.73, downside deviation of 1.98, and Mean Deviation of 1.25 to check if the risk estimate we provide is consistent with the expected return of 0.12%. The etf shows a Beta (market volatility) of 1.15, which means a somewhat significant risk relative to the market. As the market goes up, the company is expected to outperform it. However, if the market returns are negative, Exchange Traded will likely underperform.

Auto-correlation

    
  0.09  

Virtually no predictability

Exchange Traded Concepts has virtually no predictability. Overlapping area represents the amount of predictability between Exchange Traded time series from 28th of June 2025 to 26th of September 2025 and 26th of September 2025 to 25th of December 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 Exchange Traded Concepts price movement. The serial correlation of 0.09 indicates that less than 9.0% of current Exchange Traded price fluctuation can be explain by its past prices.
Correlation Coefficient0.09
Spearman Rank Test-0.04
Residual Average0.0
Price Variance0.64

Exchange Traded Concepts lagged returns against current returns

Autocorrelation, which is Exchange Traded 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 Exchange Traded's etf expected returns. We can calculate the autocorrelation of Exchange Traded returns to help us make a trade decision. For example, suppose you find that Exchange Traded 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  

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

Exchange Traded Lagged Returns

When evaluating Exchange Traded's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Exchange Traded etf have on its future price. Exchange Traded 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, Exchange Traded autocorrelation shows the relationship between Exchange Traded etf current value and its past values and can show if there is a momentum factor associated with investing in Exchange Traded Concepts.
   Regressed Prices   
       Timeline  

Building efficient market-beating portfolios requires time, education, and a lot of computing power!

The Portfolio Prophet is an AI-driven system that provides multiple benefits to our users by leveraging cutting-edge machine learning algorithms, statistical analysis, and predictive modeling to automate the process of asset selection and portfolio construction, saving time and reducing human error for individual and institutional investors.

Try AI Portfolio Prophet
When determining whether Exchange Traded Concepts offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of Exchange Traded'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 Exchange Traded Concepts Etf. Outlined below are crucial reports that will aid in making a well-informed decision on Exchange Traded Concepts Etf:
Check out Exchange Traded Correlation, Exchange Traded Volatility and Exchange Traded Alpha and Beta module to complement your research on Exchange Traded.
You can also try the Odds Of Bankruptcy module to get analysis of equity chance of financial distress in the next 2 years.
Exchange Traded 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 Exchange Traded technical analysis is to determine if market prices reflect all relevant information impacting that market. A technical analyst looks at the history of Exchange Traded 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...