Alger Z Score

ALEAX
 Fund
  

USD 7.03  0.11  1.59%   

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. Please continue to Alger Weatherbie Piotroski F Score and Portfolio Optimization analysis.
  

Alger Z Score Analysis

Alger Weatherbie'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
In accordance with the company's disclosures, Alger Weatherbie Enduring has a Z Score of 0.0. This indicator is about the same for the Category average (which is currently at 0.0) family and about the same as Family (which currently averages 0.0) category. This indicator is about the same for all United States funds average (which is currently at 0.0).

Alger Z Score Peer Comparison

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

Fund Asset Allocation for Alger Weatherbie

The fund consists of 97.33% investments in stocks, with the rest of investments allocated between different money market instruments.
   Value   
       Instrument Type  

Alger Fundamentals

About Alger Weatherbie Fundamental Analysis

The Macroaxis Fundamental Analysis modules help investors analyze Alger Weatherbie Enduring's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of Alger Weatherbie using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of Alger Weatherbie Enduring based on its fundamental data. In general, a quantitative approach, as applied to this mutual fund, 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.

Be your own money manager

Our tools can tell you how much better you can do entering a position in Alger Weatherbie without increasing your portfolio risk or giving up the expected return. As an individual investor, you need to find a reliable way to track all your investment portfolios. However, your requirements will often be based on how much of the process you decide to do yourself. In addition to allowing all investors analytical transparency into all their portfolios, our tools can evaluate risk-adjusted returns of your individual positions relative to your overall portfolio.

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Pair Trading with Alger Weatherbie

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 Alger Weatherbie 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 Alger Weatherbie will appreciate offsetting losses from the drop in the long position's value.

Moving together with Alger Weatherbie

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The ability to find closely correlated positions to Alger Weatherbie could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Alger Weatherbie 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 Alger Weatherbie - 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 Alger Weatherbie Enduring to buy it.
The correlation of Alger Weatherbie 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 Alger Weatherbie moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Alger Weatherbie Enduring 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 Alger Weatherbie 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
Please continue to Alger Weatherbie Piotroski F Score and Portfolio Optimization analysis. Note that the Alger Weatherbie Enduring information on this page should be used as a complementary analysis to other Alger Weatherbie'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 Focused Opportunities module to build portfolios using our predefined set of ideas and optimize them against your investing preferences.

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Please note, there is a significant difference between Alger Weatherbie's value and its price as these two are different measures arrived at by different means. Investors typically determine Alger Weatherbie value by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Alger Weatherbie'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.