Powershares Etf Profile
Equity ratings for PowerShares are calculated daily based on our scoring framework. The performance scores are derived for the period starting the 31st of May 2024 and ending today, the 27th of November 2024. Click here to learn more.
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RefreshPowerShares Etf Highlights
| Old Name | PowerShares Contrarian Opportunities ETF |
| Business Concentration | Mid-Cap Value, PowerShares (View all Sectors) |
| Average Daily Volume In Three Month | 99.06k |
| Average Daily Volume Last 10 Day | 99.06k |
PowerShares [CNTR] is traded in USA and was established 2014-01-13. The fund is listed under Mid-Cap Value category and is part of PowerShares family. PowerShares currently have 3.28 M in assets under management (AUM). , while the total return for the last 3 years was 6.72%.
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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 PowerShares Etf. Generally, it depends on diversification level and type but usually, the broader the sector allocation, the less risk can be expected from holding PowerShares 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 PowerShares 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 PowerShares Etf Constituents
| VSH | Vishay Intertechnology | Stock | Information Technology | |
| URI | United Rentals | Stock | Industrials | |
| WD | Walker Dunlop | Stock | Financials | |
| MU | Micron Technology | Stock | Information Technology | |
| AMKR | Amkor Technology | Stock | Information Technology | |
| ZUMZ | Zumiez Inc | Stock | Consumer Discretionary | |
| KFY | Korn Ferry | Stock | Industrials | |
| HIBB | Hibbett Sports | Stock | Consumer Discretionary |
PowerShares Against Markets
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PowerShares 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 PowerShares etf to make a market-neutral strategy. Peer analysis of PowerShares could also be used in its relative valuation, which is a method of valuing PowerShares 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 estimate. You can also try the Portfolio Optimization module to compute new portfolio that will generate highest expected return given your specified tolerance for risk.
Other Tools for PowerShares Etf
When running PowerShares' price analysis, check to measure PowerShares' 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 PowerShares is operating at the current time. Most of PowerShares' value examination focuses on studying past and present price action to predict the probability of PowerShares' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move PowerShares' price. Additionally, you may evaluate how the addition of PowerShares to your portfolios can decrease your overall portfolio volatility.
| Alpha Finder Use alpha and beta coefficients to find investment opportunities after accounting for the risk | |
| Watchlist Optimization Optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm |