Moon Etf Price To Book
MOON fundamentals help investors to digest information that contributes to MOON's financial success or failures. It also enables traders to predict the movement of MOON Etf. The fundamental analysis module provides a way to measure MOON'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 MOON etf.
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MOON ETF Price To Book Analysis
MOON's Price to Book (P/B) ratio is used to relate a company book value to its current market price. A high P/B ratio indicates that investors expect executives to generate more returns on their investments from a given set of assets. Book value is the accounting value of assets minus liabilities.
Price to Book ratio is mostly used in financial services industries where assets and liabilities are typically represented by dollars. Although low Price to Book ratio generally implies that the firm is undervalued, it is often a good indicator that the company may be in financial or managerial distress and should be investigated more carefully.
CompetitionBased on the latest financial disclosure, MOON has a Price To Book of 0.0 times. This is 100.0% lower than that of the Direxion Funds family and about the same as Technology (which currently averages 0.0) category. The price to book for all United States etfs is 100.0% higher than that of the company.
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Fund Asset Allocation for MOON
The fund invests 99.51% of asset under management in tradable equity instruments, with the rest of investments concentrated in various types of exotic instruments.Asset allocation divides MOON'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.
MOON Fundamentals
| Beta | 1.64 | |||
| Total Asset | 38.73 M | |||
| One Year Return | (27.90) % | |||
| Three Year Return | (30.40) % | |||
| Net Asset | 38.73 M | |||
| Equity Positions Weight | 99.51 % |
Pair Trading with MOON
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 MOON 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 MOON will appreciate offsetting losses from the drop in the long position's value.The ability to find closely correlated positions to Parker Hannifin could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Parker Hannifin 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 Parker Hannifin - 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 Parker Hannifin to buy it.
The correlation of Parker Hannifin 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 Parker Hannifin moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Parker Hannifin 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 Parker Hannifin 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 Correlation 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 persons. You can also try the Latest Portfolios module to quick portfolio dashboard that showcases your latest portfolios.
Other Tools for MOON Etf
When running MOON's price analysis, check to measure MOON'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 MOON is operating at the current time. Most of MOON's value examination focuses on studying past and present price action to predict the probability of MOON's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move MOON's price. Additionally, you may evaluate how the addition of MOON to your portfolios can decrease your overall portfolio volatility.
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