Cambria Value And Etf Z Score
| VAMO Etf | USD 30.74 0.30 0.99% |
Cambria |
Cambria Value and ETF Z Score Analysis
Cambria Value'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.
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As per the company's disclosures, Cambria Value and has a Z Score of 0.0. This indicator is about the same for the CAMBRIA ETF TRUST average (which is currently at 0.0) family and about the same as Equity Hedged (which currently averages 0.0) category. This indicator is about the same for all United States etfs average (which is currently at 0.0).
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Fund Asset Allocation for Cambria Value
The fund consists of 74.86% investments in stocks, with the rest of investments allocated between various types of exotic instruments.Asset allocation divides Cambria Value's investment portfolio among different asset categories to balance risk and reward by investing in a diversified mix of instruments that align with the investor's goals, risk tolerance, and time horizon. Mutual funds, which pool money from multiple investors to buy a diversified portfolio of securities, use asset allocation strategies to manage the risk and return of their portfolios.
Mutual funds allocate their assets by investing in a diversified portfolio of securities, such as stocks, bonds, cryptocurrencies and cash. The specific mix of these securities is determined by the fund's investment objective and strategy. For example, a stock mutual fund may invest primarily in equities, while a bond mutual fund may invest mainly in fixed-income securities. The fund's manager, responsible for making investment decisions, will buy and sell securities in the fund's portfolio as market conditions and the fund's objectives change.
Cambria Fundamentals
| Price To Earning | 17.06 X | |||
| Price To Book | 1.70 X | |||
| Price To Sales | 0.67 X | |||
| Number Of Employees | 385 | |||
| Beta | 0.37 | |||
| Total Asset | 82.85 M | |||
| One Year Return | 9.20 % | |||
| Three Year Return | 8.50 % | |||
| Five Year Return | 10.10 % | |||
| Net Asset | 82.85 M | |||
| Last Dividend Paid | 0.019 | |||
| Equity Positions Weight | 74.86 % |
About Cambria Value Fundamental Analysis
The Macroaxis Fundamental Analysis modules help investors analyze Cambria Value and's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of Cambria Value using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of Cambria Value and 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 Cambria Value
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 Cambria Value 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 Cambria Value will appreciate offsetting losses from the drop in the long position's value.Moving together with Cambria Etf
The ability to find closely correlated positions to Cambria Value could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Cambria Value 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 Cambria Value - 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 Cambria Value and to buy it.
The correlation of Cambria Value 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 Cambria Value moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Cambria Value 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 Cambria Value 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 Cambria Value Piotroski F Score and Portfolio Optimization analysis. You can also try the Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.
The market value of Cambria Value is measured differently than its book value, which is the value of Cambria that is recorded on the company's balance sheet. Investors also form their own opinion of Cambria Value's value that differs from its market value or its book value, called intrinsic value, which is Cambria Value'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 Cambria Value's market value can be influenced by many factors that don't directly affect Cambria Value'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 Cambria Value's value and its price as these two are different measures arrived at by different means. Investors typically determine if Cambria Value is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Cambria Value'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.