Dlbl Etf Net Asset

DLBL fundamentals help investors to digest information that contributes to DLBL's financial success or failures. It also enables traders to predict the movement of DLBL Etf. The fundamental analysis module provides a way to measure DLBL'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 DLBL etf.
  
This module does not cover all equities due to inconsistencies in global equity categorizations. Continue to Equity Screeners to view more equity screening tools.

DLBL ETF Net Asset Analysis

DLBL's Net Asset is the current market value of a fund less its liabilities. In a nutshell, if the fund is liquidated or all of the assets is sold out, the net asset will be the amount that the shareholders would demand back from the fund.

Net Asset

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Current Market Value

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Current Liabilities

More About Net Asset | All Equity Analysis

Current DLBL Net Asset

    
  610.51 K  
Most of DLBL's fundamental indicators, such as Net Asset, 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, DLBL is considered to be undervalued, and we provide a buy recommendation. Otherwise, we render a sell signal.
Net Asset is the value used in calculating NAV of a fund. NAV (or Net Asset Value) is computed once a day based on the formula that uses closing prices of all positions in the fund's portfolio.
Competition

Based on the recorded statements, DLBL has a Net Asset of 610.51 K. This is much higher than that of the Milleis Investissements Funds family and significantly higher than that of the Trading--Leveraged Debt category. The net asset for all United States etfs is notably lower than that of the firm.

DLBL Net Asset Peer Comparison

Stock peer comparison is one of the most widely used and accepted methods of equity analyses. It analyses DLBL's direct or indirect competition against its Net Asset to detect undervalued stocks with similar characteristics or determine the etfs which would be a good addition to a portfolio. Peer analysis of DLBL could also be used in its relative valuation, which is a method of valuing DLBL by comparing valuation metrics of similar companies.
DLBL is currently under evaluation in net asset as compared to similar ETFs.

DLBL Fundamentals

Pair Trading with DLBL

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 DLBL 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 DLBL will appreciate offsetting losses from the drop in the long position's value.
The ability to find closely correlated positions to Amphenol could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Amphenol 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 Amphenol - 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 Amphenol to buy it.
The correlation of Amphenol 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 Amphenol moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Amphenol 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 Amphenol 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.
Pair CorrelationCorrelation Matching
Check out Investing Opportunities to better understand how to build diversified portfolios. Also, note that the market value of any etf could be tightly coupled with the direction of predictive economic indicators such as signals in bureau of labor statistics.
Note that the DLBL information on this page should be used as a complementary analysis to other DLBL's statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Positions Ratings module to determine portfolio positions ratings based on digital equity recommendations. Macroaxis instant position ratings are based on combination of fundamental analysis and risk-adjusted market performance.

Other Tools for DLBL Etf

When running DLBL's price analysis, check to measure DLBL'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 DLBL is operating at the current time. Most of DLBL's value examination focuses on studying past and present price action to predict the probability of DLBL's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move DLBL's price. Additionally, you may evaluate how the addition of DLBL to your portfolios can decrease your overall portfolio volatility.
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