New York Life Etf Fundamentals
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 Beta Analysis
New York's Beta is one of the most important measures of equity market volatility. Beta can be thought of as asset elasticity or sensitivity to market. In other words, it is a number that shows the relationship of an equity instrument to the financial market in which this instrument is traded. For example, if Beta of equity is 2, it is expected to significantly outperform market when the market is going up and significantly underperform when the market is going down. Similarly, Beta of 1 indicates that an asset and market will generate similar returns over time.
Current New York Beta | 0.98 |
Most of New York's fundamental indicators, such as Beta, are part of a valuation analysis module that helps investors searching for stocks that are currently trading at higher or lower prices than their real value. If the real value is higher than the market price, New York Life is considered to be undervalued, and we provide a buy recommendation. Otherwise, we render a sell signal.
In a nutshell, Beta is a measure of individual stock risk relative to the overall volatility of the stock market. and is calculated based on very sound finance theory - Capital Assets Pricing Model (CAPM).However, since Beta is calculated based on historical price movements it may not predict how a firm's stock is going to perform in the future.
CompetitionIn accordance with the recently published financial statements, New York Life has a Beta of 0.98. This is much higher than that of the IndexIQ family and significantly higher than that of the Foreign Large Value category. The beta for all United States etfs is notably lower than that of the firm.
New Beta Peer Comparison
Stock peer comparison is one of the most widely used and accepted methods of equity analyses. It analyses New York's direct or indirect competition against its Beta to detect undervalued stocks with similar characteristics or determine the etfs which would be a good addition to a portfolio. Peer analysis of New York could also be used in its relative valuation, which is a method of valuing New York by comparing valuation metrics of similar companies.New York is currently under evaluation in beta as compared to similar ETFs.
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 York returns are very sensitive to returns on the market. As the market goes up or down, New York is expected to follow.
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 Portfolio Optimization module to compute new portfolio that will generate highest expected return given your specified tolerance for risk.
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.
| Equity Forecasting Use basic forecasting models to generate price predictions and determine price momentum | |
| Earnings Calls Check upcoming earnings announcements updated hourly across public exchanges | |
| Fundamental Analysis View fundamental data based on most recent published financial statements | |
| Portfolio Diagnostics Use generated alerts and portfolio events aggregator to diagnose current holdings |