HANETF Probability Of Bankruptcy

HANETF ICAV EMQQ Probability Of Bankruptcy is used to show its chance of financial distress over the next two years of operations under current economic and market conditions. HANETF ICAV EMQQ Probability Of Bankruptcy is determined by interpolating and adjusting HANETF Altman Z Score to account for off-balance-sheet items and missing or unfiled public information. All items used in analyzing the odds of distress are taken from the HANETF balance sheet as well as cash flow and income statements available from the company's most recent filings. Check out Investing Opportunities.
  

HANETF Probability Of Bankruptcy Analysis

HANETF ICAV's Probability Of Bankruptcy is a relative measure of the likelihood of financial distress. For stocks, the Probability Of Bankruptcy is the normalized value of Z-Score. For funds and ETFs, it is derived from a multi-factor model developed by Macroaxis. The score is used to predict the probability of a firm or a fund experiencing financial distress within the next 24 months. Unlike Z-Score, Probability Of Bankruptcy is the value between 0 and 100, indicating the firm's actual probability it will be financially distressed in the next 2 fiscal years.
Probability Of Bankruptcy 
 = 
Normalized 
 
Z-Score 
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Current HANETF ICAV Probability Of Bankruptcy

    
  1%  
Most of HANETF ICAV's fundamental indicators, such as Probability Of Bankruptcy, 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, HANETF ICAV EMQQ is considered to be undervalued, and we provide a buy recommendation. Otherwise, we render a sell signal.
Our calculation of HANETF ICAV probability of bankruptcy is based on Altman Z-Score and Piotroski F-Score, but not limited to these measures. To be applied to a broader range of industries and markets, we use several other techniques to enhance the accuracy of predicting HANETF ICAV odds of financial distress. These include financial statement analysis, different types of price predictions, earning estimates, analysis consensus, and basic intrinsic valuation. Please use the options below to get a better understanding of different measures that drive the calculation of HANETF ICAV EMQQ financial health.
Please note, there is a significant difference between HANETF ICAV's value and its price as these two are different measures arrived at by different means. Investors typically determine HANETF ICAV value by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, HANETF ICAV'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.
The Probability of Bankruptcy SHOULD NOT be confused with the actual chance of a company to file for chapter 7, 11, 12, or 13 bankruptcy protection. Macroaxis simply defines Financial Distress as an operational condition where a company is having difficulty meeting its current financial obligations towards its creditors or delivering on the expectations of its investors. Macroaxis derives these conditions daily from both public financial statements as well as analysis of stock prices reacting to market conditions or economic downturns, including short-term and long-term historical volatility. Other factors taken into account include analysis of liquidity, revenue patterns, R&D expenses, and commitments, as well as public headlines and social sentiment.
Compare to competition
Based on the latest financial disclosure, HANETF ICAV EMQQ has a Probability Of Bankruptcy of 1.0%. This is much higher than that of the HANetf Management Limited family and significantly higher than that of the Family category. The probability of bankruptcy for all United Kingdom etfs is notably lower than that of the firm.
Chance Of Financial Distress
Less than 1
HANETF ICAV EMQQ has less than 1 (%) percent chance of experiencing financial distress in the next two years of operations. The calculation of odds of distress for HANETF ICAV etf is tightly coupled with the Probability of Bankruptcy. It complements the equity performance score by supplying investors with insight into company financials without requiring them to know too much about all of the complex accounting and financial indicators surrounding the entity. More Info

HANETF Fundamentals

Be your own money manager

Our tools can tell you how much better you can do entering a position in HANETF ICAV 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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Global Correlations

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Pair Trading with HANETF ICAV

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 HANETF ICAV 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 HANETF ICAV will appreciate offsetting losses from the drop in the long position's value.
The ability to find closely correlated positions to Twitter could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Twitter 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 Twitter - 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 Twitter to buy it.
The correlation of Twitter 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 Twitter moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Twitter 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 Twitter 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. You can also try Global Correlations module to find global opportunities by holding instruments from different markets.

Other Tools for HANETF Etf

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