Hjen Etf Price To Sales
HJEN fundamentals help investors to digest information that contributes to HJEN's financial success or failures. It also enables traders to predict the movement of HJEN Etf. The fundamental analysis module provides a way to measure HJEN'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 HJEN etf.
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HJEN ETF Price To Sales Analysis
HJEN's Price to Sales ratio is typically used for valuing equity relative to its own past performance as well as to performance of other companies or market indexes. In most cases, the lower the ratio, the better it is for investors. However, it is advisable for investors to exercise caution when looking at price-to-sales ratios across different industries.
The most critical factor to remember is that the price of equity takes a firm's debt into account, whereas the sales indicators do not consider financial leverage. Generally speaking, Price to Sales ratio shows how much market values every dollar of the company's sales.
CompetitionBased on the latest financial disclosure, HJEN has a Price To Sales of 0.0 times. This is 100.0% lower than that of the Direxion Funds family and about the same as Natural Resources (which currently averages 0.0) category. The price to sales for all United States etfs is 100.0% higher than that of the company.
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Fund Asset Allocation for HJEN
The fund invests 99.0% of asset under management in tradable equity instruments, with the rest of investments concentrated in various types of exotic instruments.Asset allocation divides HJEN'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.
HJEN Fundamentals
| Beta | 1.47 | |||
| Total Asset | 22.66 M | |||
| One Year Return | (24.40) % | |||
| Three Year Return | (18.30) % | |||
| Net Asset | 22.66 M | |||
| Equity Positions Weight | 99.00 % |
Pair Trading with HJEN
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 HJEN 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 HJEN 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 Risk vs Return Analysis 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 income. You can also try the Theme Ratings module to determine theme ratings based on digital equity recommendations. Macroaxis theme ratings are based on combination of fundamental analysis and risk-adjusted market performance.
Other Tools for HJEN Etf
When running HJEN's price analysis, check to measure HJEN'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 HJEN is operating at the current time. Most of HJEN's value examination focuses on studying past and present price action to predict the probability of HJEN's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move HJEN's price. Additionally, you may evaluate how the addition of HJEN to your portfolios can decrease your overall portfolio volatility.
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