Long Term Z Score

BLV
 Etf
  

USD 72.71  1.60  2.15%   

Altman Z Score is one of the simplest fundamental models to determine how likely your company is to fail. The module uses available fundamental data of a given equity to approximate the Altman Z score. Altman Z Score is determined by evaluating five fundamental price points available from the company's current public disclosure documents. Continue to Long Term Piotroski F Score and Portfolio Optimization analysis.
  

Long Term Z Score Analysis

Long Term's Z-Score is a simple linear, multi-factor model that measures the financial health and economic stability of a company. The score is used to predict the probability of a firm going into bankruptcy within next 24 months or two fiscal years from the day stated on the accounting statements used to calculate it. The model uses five fundamental business ratios that are weighted according to algorithm of Professor Edward Altman who developed it in the late 1960s at New York University..
Z Score 
 = 
Sum Of  
 
5 Factors 
More About Z Score | All Equity Analysis
First Factor
 = 
1.2 * (
Working Capital
/
Total Assets )
Second Factor
 = 
1.4 * (
Retained Earnings
/
Total Assets )
Thrid Factor
 = 
3.3 * (
EBITAD
/
Total Assets )
Fouth Factor
 = 
0.6 * (
Market Value of Equity
/
Total Liabilities )
Fifth Factor
 = 
0.99 * (
Revenue
/
Total Assets )
To calculate Z-Score one would need to know current working capital of the company, its total assets, and liabilities, amount of latest retained earnings as well as earnings before interest and tax. Z-Score can be used to compare the odds of bankruptcy of companies in a similar line of business or firms operating in the same industry. Companies with Z-Scores above 3.1 are generally considered to be stable and healthy with a low probability of bankruptcy. Scores that fall between 1.8 and 3.1 lie in a so-called 'grey area' with scores of less than 1, indicating the high probability of distress. Z Score is used widely by financial auditors, accountants, money managers, loan processers, wealth advisers, as well as day traders. In the last 25 years, many financial models that utilize z score has been proved to be successful as a predictor of corporate bankruptcy.
Compare to competition

Long Term Z Score Component Assessment

In accordance with the company's disclosures, Long Term Bond has a Z Score of 0.0. This indicator is about the same for the Vanguard average (which is currently at 0.0) family and about the same as Long-Term Bond (which currently averages 0.0) category. This indicator is about the same for all United States etfs average (which is currently at 0.0).

Long Term Z Score Peer Comparison

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

Long Term Institutional Holders

Institutional Holdings refers to the ownership stake in Long Term that is held by large financial organizations, pension funds or endowments. Institutions may purchase large blocks of Long Term's outstanding shares and can exert considerable influence upon its management. Institutional holders may also work to push the share price higher once they own the stock. Extensive social media coverage, TV shows, articles in high-profile magazines, and presentations at investor conferences help move the stock higher, increasing Long Term's value.
Security TypeSharesValue
Envestnet Asset Management IncFund Units12.1 M968.1 M

Fund Asset Allocation for Long Term

The fund invests most of its assets under management in various types of exotic instruments, with the rest of asset invested in bonds.
   Value   
       Instrument Type  

Long Term Fundamentals

About Long Term Fundamental Analysis

The Macroaxis Fundamental Analysis modules help investors analyze Long Term Bond's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of Long Term using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of Long Term Bond based on its fundamental data. In general, a quantitative approach, as applied to this etf, focuses on analyzing financial statements comparatively, whereas a qaualitative method uses data that is important to a company's growth but cannot be measured and presented in a numerical way.
Please read more on our fundamental analysis page.
This index includes all medium and larger issues of U.S. government, investment-grade corporate, and investment-grade international dollar-denominated bonds that have maturities of greater than 10 years and are publicly issued. Long Term is traded on NYSEArca Exchange in the United States.
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards Long Term in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, Long Term's short interest history, or implied volatility extrapolated from Long Term options trading.

Pair Trading with Long Term

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 Long Term 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 Long Term will appreciate offsetting losses from the drop in the long position's value.

Moving together with Long Term

+0.8HPQHp Inc Fiscal Year End 22nd of November 2022 PairCorr
The ability to find closely correlated positions to Long Term could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Long Term 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 Long Term - 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 Long Term Bond to buy it.
The correlation of Long Term is a statistical measure of how it moves in relation to other equities. 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 Long Term moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Long Term Bond 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 Long Term 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
Continue to Long Term Piotroski F Score and Portfolio Optimization analysis. You can also try Watchlist Optimization module to optimize watchlists to build efficient portfolio or rebalance existing positions based on mean-variance optimization algorithm.

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The market value of Long Term Bond is measured differently than its book value, which is the value of Long Term that is recorded on the company's balance sheet. Investors also form their own opinion of Long Term's value that differs from its market value or its book value, called intrinsic value, which is Long Term's true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because Long Term's market value can be influenced by many factors that don't directly affect Long Term's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between Long Term's value and its price as these two are different measures arrived at by different means. Investors typically determine Long Term value by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Long Term's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.