Jyske Invest Nye Stock Z Score
| JYINOBV Stock | DKK 116.45 0.05 0.04% |
Jyske |
Jyske Invest Nye Company Z Score Analysis
Jyske Invest'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..
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To calculate a Z-Score, one would need to know a company's current working capital, its total assets and liabilities, and the amount of its latest earnings as well as earnings before interest and tax. Z-Scores 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 highest probability of distress. Z Score is a used widely measure by financial auditors, accountants, money managers, loan processors, wealth advisers, and day traders. In the last 25 years, many financial models that utilize z-scores proved it to be successful as a predictor of corporate bankruptcy.
According to the company's disclosures, Jyske Invest Nye has a Z Score of 0.0. This indicator is about the same for the average (which is currently at 0.0) sector and about the same as Z Score (which currently averages 0.0) industry. This indicator is about the same for all Denmark stocks average (which is currently at 0.0).
Jyske Z Score Peer Comparison
Stock peer comparison is one of the most widely used and accepted methods of equity analyses. It analyses Jyske Invest's direct or indirect competition against its Z Score to detect undervalued stocks with similar characteristics or determine the stocks which would be a good addition to a portfolio. Peer analysis of Jyske Invest could also be used in its relative valuation, which is a method of valuing Jyske Invest by comparing valuation metrics of similar companies.Jyske Invest is currently under evaluation in z score category among its peers.
About Jyske Invest Fundamental Analysis
The Macroaxis Fundamental Analysis modules help investors analyze Jyske Invest Nye's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of Jyske Invest using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of Jyske Invest Nye based on its fundamental data. In general, a quantitative approach, as applied to this company, 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.
Pair Trading with Jyske Invest
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 Jyske Invest 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 Jyske Invest will appreciate offsetting losses from the drop in the long position's value.Moving against Jyske Stock
The ability to find closely correlated positions to Jyske Invest could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Jyske Invest 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 Jyske Invest - 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 Jyske Invest Nye to buy it.
The correlation of Jyske Invest 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 Jyske Invest moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Jyske Invest Nye 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 Jyske Invest 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.Additional Tools for Jyske Stock Analysis
When running Jyske Invest's price analysis, check to measure Jyske Invest'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 Jyske Invest is operating at the current time. Most of Jyske Invest's value examination focuses on studying past and present price action to predict the probability of Jyske Invest's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Jyske Invest's price. Additionally, you may evaluate how the addition of Jyske Invest to your portfolios can decrease your overall portfolio volatility.