New York Life Etf Net Income
New York Life fundamentals help investors to digest information that contributes to New York's financial success or failures. It also enables traders to predict the movement of New Etf. The fundamental analysis module provides a way to measure New York'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 New York etf.
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New York Life ETF Net Income Analysis
New York's Net income is the profit of a company for the reporting period, which is derived after taking revenues and gains and subtracting all expenses and losses. Net income is one of the most-watched numbers by money managers as well as individual investors.
Because income is reported on the Income Statement of a company and is measured in dollars some investors prefer to use Profit Margin, which measures income as a percentage of sales.
CompetitionBased on the recorded statements, New York Life reported net income of 0.0. This indicator is about the same for the IndexIQ average (which is currently at 0.0) family and about the same as Foreign Large Value (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 New York
The fund invests 100.04% of asset under management in tradable equity instruments, with the rest of investments concentrated in .Asset allocation divides New York'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.
New Fundamentals
| Number Of Employees | 413 | |||
| Beta | 0.98 | |||
| Total Asset | 180.85 M | |||
| One Year Return | 8.00 % | |||
| Three Year Return | 4.00 % | |||
| Five Year Return | 6.60 % | |||
| Net Asset | 180.85 M | |||
| Last Dividend Paid | 0.14 | |||
| Equity Positions Weight | 100.04 % |
Pair Trading with New York
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 New York 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 New York 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 gross domestic product. You can also try the Latest Portfolios module to quick portfolio dashboard that showcases your latest portfolios.
Other Tools for New Etf
When running New York's price analysis, check to measure New York'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 New York is operating at the current time. Most of New York's value examination focuses on studying past and present price action to predict the probability of New York's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move New York's price. Additionally, you may evaluate how the addition of New York to your portfolios can decrease your overall portfolio volatility.
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