Qqqn Etf Number Of Shares Shorted
QQQN fundamentals help investors to digest information that contributes to QQQN's financial success or failures. It also enables traders to predict the movement of QQQN Etf. The fundamental analysis module provides a way to measure QQQN's intrinsic value by examining its available economic and financial indicators, including the cash flow records, the balance sheet account changes, the income statement patterns, and various microeconomic indicators and financial ratios related to QQQN etf.
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QQQN ETF Number Of Shares Shorted Analysis
QQQN's Number of Shares Shorted is the total amount of shares that are currently sold short by investors. When a stock is sold short, the short seller assumes the responsibility of repurchasing the stock at a lower price. The speculator will make money if the stock goes down in price or will experience a loss if the stock price goes up.
More About Number Of Shares Shorted | All Equity Analysis
Shares Shorted | = | Shorted by Public | + | by Institutions |
If a large number of investors decide to short sell an equity instrument within a small period of time, their combined action can significantly affect the price of the stock.
CompetitionBased on the recorded statements, QQQN has 0.0 of outstending shares currently sold short by investors. This indicator is about the same for the Victory Capital average (which is currently at 0.0) family and about the same as Mid-Cap Growth (which currently averages 0.0) category. This indicator is about the same for all United States etfs average (which is currently at 0.0).
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Fund Asset Allocation for QQQN
The fund invests 99.94% of asset under management in tradable equity instruments, with the rest of investments concentrated in various types of exotic instruments.Asset allocation divides QQQN's investment portfolio among different asset categories to balance risk and reward by investing in a diversified mix of instruments that align with the investor's goals, risk tolerance, and time horizon. Mutual funds, which pool money from multiple investors to buy a diversified portfolio of securities, use asset allocation strategies to manage the risk and return of their portfolios.
Mutual funds allocate their assets by investing in a diversified portfolio of securities, such as stocks, bonds, cryptocurrencies and cash. The specific mix of these securities is determined by the fund's investment objective and strategy. For example, a stock mutual fund may invest primarily in equities, while a bond mutual fund may invest mainly in fixed-income securities. The fund's manager, responsible for making investment decisions, will buy and sell securities in the fund's portfolio as market conditions and the fund's objectives change.
QQQN Fundamentals
| Beta | 1.16 | |||
| Total Asset | 91.75 M | |||
| One Year Return | 38.80 % | |||
| Three Year Return | (2.10) % | |||
| Net Asset | 91.75 M | |||
| Last Dividend Paid | 0.0139 | |||
| Equity Positions Weight | 99.94 % |
Pair Trading with QQQN
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 QQQN 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 QQQN will appreciate offsetting losses from the drop in the long position's value.The ability to find closely correlated positions to Microsoft could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Microsoft 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 Microsoft - 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 Microsoft to buy it.
The correlation of Microsoft 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 Microsoft moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Microsoft 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 Microsoft 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 Your Equity Center 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 producer price index. You can also try the Stocks Directory module to find actively traded stocks across global markets.
Other Tools for QQQN Etf
When running QQQN's price analysis, check to measure QQQN'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 QQQN is operating at the current time. Most of QQQN's value examination focuses on studying past and present price action to predict the probability of QQQN's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move QQQN's price. Additionally, you may evaluate how the addition of QQQN to your portfolios can decrease your overall portfolio volatility.
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