Ishares Smi Etf Probability Of Bankruptcy
| CSSMI Etf | CHF 117.58 1.04 0.89% |
IShares |
iShares SMI ETF ETF probability of financial unrest Analysis
IShares SMI'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.
More About Probability Of Bankruptcy | All Equity Analysis
Probability Of Bankruptcy | = | Normalized | | Z-Score |
Current IShares SMI Probability Of Bankruptcy | Less than 9% |
Most of IShares SMI'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, iShares SMI ETF is considered to be undervalued, and we provide a buy recommendation. Otherwise, we render a sell signal.
Our calculation of IShares SMI 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 IShares SMI 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 iShares SMI ETF financial health.
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.
| Competition |
Based on the latest financial disclosure, iShares SMI ETF has a Probability Of Bankruptcy of 9.0%. This is much higher than that of the BlackRock Asset Management Schweiz AG – ETF family and significantly higher than that of the Probability Of Bankruptcy category. The probability of bankruptcy for all Switzerland etfs is notably lower than that of the firm.
IShares Probability Of Bankruptcy Peer Comparison
Stock peer comparison is one of the most widely used and accepted methods of equity analyses. It analyses IShares SMI's direct or indirect competition against its Probability Of Bankruptcy to detect undervalued stocks with similar characteristics or determine the etfs which would be a good addition to a portfolio. Peer analysis of IShares SMI could also be used in its relative valuation, which is a method of valuing IShares SMI by comparing valuation metrics of similar companies.IShares SMI is currently under evaluation in probability of bankruptcy as compared to similar ETFs.
IShares Fundamentals
| Price To Earning | 20.50 X | |||
| Price To Book | 2.31 X | |||
| Price To Sales | 2.03 X | |||
| Total Asset | 1.99 B | |||
| One Year Return | (5.20) % | |||
| Three Year Return | 6.54 % | |||
| Five Year Return | 7.21 % | |||
| Ten Year Return | 8.83 % | |||
| Net Asset | 1.99 B | |||
| Last Dividend Paid | 0.52 | |||
| Equity Positions Weight | 98.92 % |
About IShares SMI Fundamental Analysis
The Macroaxis Fundamental Analysis modules help investors analyze iShares SMI ETF's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of IShares SMI using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of iShares SMI ETF 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.
Pair Trading with IShares SMI
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 IShares SMI 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 IShares SMI will appreciate offsetting losses from the drop in the long position's value.Moving together with IShares Etf
| 0.83 | JPNJPA | UBSFund Solutions MSCI | PairCorr |
| 0.79 | VUSA | Vanguard SP 500 | PairCorr |
| 0.77 | CSNKY | iShares VII PLC | PairCorr |
| 0.85 | CSSPX | iShares Core SP | PairCorr |
| 0.8 | LYJPN | Lyxor Japan UCITS | PairCorr |
The ability to find closely correlated positions to IShares SMI could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace IShares SMI 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 IShares SMI - 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 iShares SMI ETF to buy it.
The correlation of IShares SMI 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 IShares SMI moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if iShares SMI ETF 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 IShares SMI 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.Check out Trending Equities to better understand how to build diversified portfolios, which includes a position in iShares SMI ETF. Also, note that the market value of any etf could be tightly coupled with the direction of predictive economic indicators such as signals in gross domestic product. You can also try the Money Flow Index module to determine momentum by analyzing Money Flow Index and other technical indicators.