Exchange Traded Concepts Etf Market Value
| INDF Etf | USD 35.89 0.26 0.73% |
| 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.
| 03/27/2024 |
| 04/26/2024 |
If you would invest 0.00 in Exchange Traded on March 27, 2024 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 30 days. Exchange Traded is related to or competes with Franklin FTSE, Franklin FTSE, Franklin FTSE, and Franklin FTSE. The fund will normally invest at least 80 percent of its total assets in securities of the index or in depositary receip... 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 | 0.9175 | |||
| Information Ratio | 0.0033 | |||
| Maximum Drawdown | 3.83 | |||
| Value At Risk | (1.38) | |||
| Potential Upside | 1.29 |
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 | 0.0665 | |||
| Jensen Alpha | 0.0356 | |||
| Total Risk Alpha | (0.02) | |||
| Sortino Ratio | 0.003 | |||
| Treynor Ratio | 0.1379 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Exchange Traded'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.
Exchange Traded Concepts Backtested Returns
We consider Exchange Traded very steady. Exchange Traded Concepts secures Sharpe Ratio (or Efficiency) of 0.0678, which denotes the etf had a 0.0678% 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 0.7544, downside deviation of 0.9175, and Mean Deviation of 0.6589 to check if the risk estimate we provide is consistent with the expected return of 0.0575%. The etf shows a Beta (market volatility) of 0.55, which means possible diversification benefits within a given portfolio. 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 | 0.25 |
Poor predictability
Exchange Traded Concepts has poor predictability. Overlapping area represents the amount of predictability between Exchange Traded time series from 27th of March 2024 to 11th of April 2024 and 11th of April 2024 to 26th of April 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 Exchange Traded Concepts price movement. The serial correlation of 0.25 indicates that over 25.0% of current Exchange Traded price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.25 | |
| Spearman Rank Test | 0.41 | |
| Residual Average | 0.0 | |
| Price Variance | 0.14 |
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 |
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards Exchange Traded in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, Exchange Traded's short interest history, or implied volatility extrapolated from Exchange Traded options trading.
Building efficient market-beating portfolios requires time, education, and a lot of computing power!
The Portfolio Architect 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 ArchitectCheck out Exchange Traded Correlation, Exchange Traded Volatility and Exchange Traded Alpha and Beta module to complement your research on Exchange Traded. Note that the Exchange Traded Concepts information on this page should be used as a complementary analysis to other Exchange Traded's statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Technical Analysis module to check basic technical indicators and analysis based on most latest market data.
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.