Cca Industries Stock Current Valuation

Valuation analysis of CCA Industries helps investors to measure CCA Industries' intrinsic value by examining its available valuation indicators, including the cash flow records, the balance sheet account changes and income statement patterns.

CCA Current Valuation Analysis

CCA Industries' Enterprise Value is a firm valuation proxy that approximates the current market value of a company. It is typically used to determine the takeover or merger price of a firm. Unlike Market Cap, this measure takes into account the entire liquid asset, outstanding debt, and exotic equity instruments that the company has on its balance sheet. When a takeover occurs, the parent company will have to assume the target company's liabilities but will take possession of all cash and cash equivalents.

Enterprise Value

 = 

Market Cap + Debt

-

Cash

More About Current Valuation | All Equity Analysis

Current CCA Industries Current Valuation

    
  13.84 M  
Most of CCA Industries' fundamental indicators, such as Current Valuation, 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, CCA Industries is considered to be undervalued, and we provide a buy recommendation. Otherwise, we render a sell signal.
Enterprise Value can be a useful tool to compare companies with different capital structures. Long term liability and current cash or cash equivalents can have a huge impact on market valuation of a given company.
Competition

In accordance with the recently published financial statements, CCA Industries has a Current Valuation of 13.84 M. This is 99.93% lower than that of the Consumer Defensive sector and 99.96% lower than that of the Household & Personal Products industry. The current valuation for all United States stocks is 99.92% higher than that of the company.

CCA Current Valuation Peer Comparison

Stock peer comparison is one of the most widely used and accepted methods of equity analyses. It analyses CCA Industries' direct or indirect competition against its Current Valuation to detect undervalued stocks with similar characteristics or determine the stocks which would be a good addition to a portfolio. Peer analysis of CCA Industries could also be used in its relative valuation, which is a method of valuing CCA Industries by comparing valuation metrics of similar companies.
CCA Industries is currently under evaluation in current valuation category among related companies.

CCA Fundamentals

Pair Trading with CCA Industries

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 CCA Industries 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 CCA Industries will appreciate offsetting losses from the drop in the long position's value.
The ability to find closely correlated positions to Vornado Realty could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Vornado Realty 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 Vornado Realty - 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 Vornado Realty Trust to buy it.
The correlation of Vornado Realty 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 Vornado Realty moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Vornado Realty Trust 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 Vornado Realty 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 Trending Equities to better understand how to build diversified portfolios. Also, note that the market value of any company could be tightly coupled with the direction of predictive economic indicators such as signals in nation.
Note that the CCA Industries information on this page should be used as a complementary analysis to other CCA Industries' 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 the Investing Opportunities module to build portfolios using our predefined set of ideas and optimize them against your investing preferences.

Other Consideration for investing in CCA Stock

If you are still planning to invest in CCA Industries check if it may still be traded through OTC markets such as Pink Sheets or OTC Bulletin Board. You may also purchase it directly from the company, but this is not always possible and may require contacting the company directly. Please note that delisted stocks are often considered to be more risky investments, as they are no longer subject to the same regulatory and reporting requirements as listed stocks. Therefore, it is essential to carefully research the CCA Industries' history and understand the potential risks before investing.
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