Exchange Traded Concepts Etf Profile
The performance scores are derived for the period starting the 22nd of December 2024 and ending today, the 22nd of March 2025. Click here to learn more.
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RefreshExchange Etf Highlights
Old Name | Cabana Target Leading Sector Aggressive ETF |
Business Concentration | Tactical Allocation, Cabana (View all Sectors) |
Country Name | USA |
Returns Y T D | (0.39) |
Name | Cabana Target Leading Sector Aggressive ETF |
Currency Code | USD |
Open Figi | BBG011RJM199 |
1y Volatility | 6.27 |
200 Day M A | 18.7112 |
50 Day M A | 19.0903 |
Code | CLSA |
Updated At | 4th of February 2024 |
Currency Name | US Dollar |
Type | ETF |
Exchange Traded Concepts [CLSA] is traded in USA and was established 2021-07-12. The fund is listed under Tactical Allocation category and is part of Cabana family. Exchange Traded Concepts currently have 61.44 M in assets under management (AUM). , while the total return for the last year was 1.4%.
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Sector Allocation
Investors will always prefer to have their portfolios divercified against different sectors. The broad sector allocation increases the possibility of making a profit or at least avoiding a loss. However, this may also reduce the expected return on Exchange Etf. Generally, it depends on diversification level and type but usually, the broader the sector allocation, the less risk can be expected from holding Exchange Etf, and the less return is expected.
Institutional investors that are interested in enforcing a sector tilt in their portfolio can use exchange-traded funds, such as Exchange Traded Concepts Etf, as a low-cost alternative to building a custom portfolio. So, using sector ETFs to diversify your portfolio can be a profitable strategy. However, no matter what sectors are desirable at a given time, no single industry should ever make up more than 20 percent of your stock portfolio.
Top Exchange Traded Concepts Etf Constituents
QQQ | Invesco QQQ Trust | Etf | Large Growth | |
VCR | Vanguard Consumer Discretionary | Etf | Consumer Cyclical | |
VOX | Vanguard Communication Services | Etf | Communications |
Exchange Traded Against Markets
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Exchange Traded Related Equities
One of the popular trading techniques among algorithmic traders is to use market-neutral strategies where every trade hedges away some risk. Because there are two separate transactions required, even if one position performs unexpectedly, the other equity can make up some of the losses. Below are some of the equities that can be combined with Exchange Traded etf to make a market-neutral strategy. Peer analysis of Exchange Traded could also be used in its relative valuation, which is a method of valuing Exchange Traded by comparing valuation metrics with similar companies.
Risk & Return | Correlation |
Check out Trending Equities to better understand how to build diversified portfolios. Also, note that the market value of any etf could be closely tied with the direction of predictive economic indicators such as signals in state. You can also try the Equity Valuation module to check real value of public entities based on technical and fundamental data.
Other Tools for Exchange Etf
When running Exchange Traded's price analysis, check to measure Exchange Traded's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Exchange Traded is operating at the current time. Most of Exchange Traded's value examination focuses on studying past and present price action to predict the probability of Exchange Traded's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Exchange Traded's price. Additionally, you may evaluate how the addition of Exchange Traded to your portfolios can decrease your overall portfolio volatility.
Portfolio Rebalancing Analyze risk-adjusted returns against different time horizons to find asset-allocation targets | |
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Fundamental Analysis View fundamental data based on most recent published financial statements |