Exchange Traded Concepts Etf Market Value
| BOBP Etf | 25.35 0.02 0.08% |
| Symbol | Exchange |
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.
| 04/22/2025 |
| 07/21/2025 |
If you would invest 0.00 in Exchange Traded on April 22, 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 90 days. Exchange Traded is related to or competes with FT Vest, Northern Lights, Dimensional International, First Trust, EA Series, FT Cboe, and FT Cboe. Exchange Traded is entity of United States 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.
| Downside Deviation | 0.5203 | |||
| Information Ratio | (0.13) | |||
| Maximum Drawdown | 2.07 | |||
| Value At Risk | (0.79) | |||
| Potential Upside | 0.8509 |
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.| Risk Adjusted Performance | 0.1291 | |||
| Jensen Alpha | 0.0372 | |||
| Total Risk Alpha | (0.01) | |||
| Sortino Ratio | (0.13) | |||
| Treynor Ratio | 0.3043 |
Exchange Traded Concepts Backtested Returns
Currently, Exchange Traded Concepts is very steady. Exchange Traded Concepts secures Sharpe Ratio (or Efficiency) of 0.15, which denotes the etf had a 0.15 % 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 Mean Deviation of 0.418, downside deviation of 0.5203, and Semi Deviation of 0.3825 to check if the risk estimate we provide is consistent with the expected return of 0.0735%. The etf shows a Beta (market volatility) of 0.21, which means not very significant fluctuations relative to the market. As returns on the market increase, Exchange Traded's returns are expected to increase less than the market. However, during the bear market, the loss of holding Exchange Traded is expected to be smaller as well.
Auto-correlation | -0.19 |
Insignificant reverse predictability
Exchange Traded Concepts has insignificant reverse predictability. Overlapping area represents the amount of predictability between Exchange Traded time series from 22nd of April 2025 to 6th of June 2025 and 6th of June 2025 to 21st of July 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 -0.19 indicates that over 19.0% of current Exchange Traded price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.19 | |
| Spearman Rank Test | -0.1 | |
| Residual Average | 0.0 | |
| Price Variance | 0.01 |
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 |
Pair Trading with Exchange Traded
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 Exchange Traded 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 Exchange Traded will appreciate offsetting losses from the drop in the long position's value.Moving against Exchange Etf
| 0.47 | VEA | Vanguard FTSE Developed | PairCorr |
| 0.4 | GLDX | USCF Gold Strategy | PairCorr |
| 0.39 | VUG | Vanguard Growth Index | PairCorr |
| 0.39 | XOVR | ERShares Private Public Symbol Change | PairCorr |
| 0.38 | HBTA | Horizon Funds | PairCorr |
The ability to find closely correlated positions to Exchange Traded could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Exchange Traded 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 Exchange Traded - 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 Exchange Traded Concepts to buy it.
The correlation of Exchange Traded 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 Exchange Traded moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Exchange Traded Concepts 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 Exchange Traded 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 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 Transaction History module to view history of all your transactions and understand their impact on performance.
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.