Exchange Traded Concepts Etf Market Value
| INDF Etf | USD 37.63 0.42 1.10% |
| 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.
| 10/23/2024 |
| 11/22/2024 |
If you would invest 0.00 in Exchange Traded on October 23, 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 IShares MSCI, Invesco India, IShares MSCI, and Columbia India. 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.
| Information Ratio | (0.15) | |||
| Maximum Drawdown | 4.1 | |||
| Value At Risk | (1.63) | |||
| Potential Upside | 1.59 |
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 | (0.03) | |||
| Jensen Alpha | (0.08) | |||
| Total Risk Alpha | (0.19) | |||
| Treynor Ratio | (0.17) |
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
Exchange Traded Concepts secures Sharpe Ratio (or Efficiency) of -0.0583, which denotes the etf had a -0.0583% return per unit of standard deviation over the last 3 months. Exchange Traded Concepts exposes twenty-four different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm Exchange Traded's Standard Deviation of 1.02, mean deviation of 0.8362, and Coefficient Of Variation of (2,407) to check the risk estimate we provide. The etf shows a Beta (market volatility) of 0.31, 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 | -0.3 |
Weak reverse predictability
Exchange Traded Concepts has weak reverse predictability. Overlapping area represents the amount of predictability between Exchange Traded time series from 23rd of October 2024 to 7th of November 2024 and 7th of November 2024 to 22nd of November 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 -0.3 indicates that nearly 30.0% of current Exchange Traded price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.3 | |
| Spearman Rank Test | -0.43 | |
| Residual Average | 0.0 | |
| Price Variance | 0.22 |
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 |
Currently Active Assets on Macroaxis
When determining whether Exchange Traded Concepts is a strong investment it is important to analyze Exchange Traded's competitive position within its industry, examining market share, product or service uniqueness, and competitive advantages. Beyond financials and market position, potential investors should also consider broader economic conditions, industry trends, and any regulatory or geopolitical factors that may impact Exchange Traded's future performance. For an informed investment choice regarding Exchange Etf, refer to the following important reports: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 Stock Screener module to find equities using a custom stock filter or screen asymmetry in trading patterns, price, volume, or investment outlook..
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.