Columbia Etf Price To Sales
Columbia fundamentals help investors to digest information that contributes to Columbia's financial success or failures. It also enables traders to predict the movement of Columbia Etf. The fundamental analysis module provides a way to measure Columbia's intrinsic value by examining its available economic and financial indicators, including the cash flow records, the balance sheet account changes, the income statement patterns, and various microeconomic indicators and financial ratios related to Columbia etf.
Columbia |
Columbia ETF Price To Sales Analysis
Columbia's Price to Sales ratio is typically used for valuing equity relative to its own past performance as well as to performance of other companies or market indexes. In most cases, the lower the ratio, the better it is for investors. However, it is advisable for investors to exercise caution when looking at price-to-sales ratios across different industries.
Current Columbia Price To Sales | 1.26 X |
Most of Columbia's fundamental indicators, such as Price To Sales, 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, Columbia is considered to be undervalued, and we provide a buy recommendation. Otherwise, we render a sell signal.
The most critical factor to remember is that the price of equity takes a firm's debt into account, whereas the sales indicators do not consider financial leverage. Generally speaking, Price to Sales ratio shows how much market values every dollar of the company's sales.
CompetitionBased on the latest financial disclosure, Columbia has a Price To Sales of 1.26 times. This is 90.91% higher than that of the Columbia family and significantly higher than that of the Diversified Emerging Mkts category. The price to sales for all United States etfs is notably lower than that of the firm.
Columbia Price To Sales Peer Comparison
Stock peer comparison is one of the most widely used and accepted methods of equity analyses. It analyses Columbia's direct or indirect competition against its Price To Sales to detect undervalued stocks with similar characteristics or determine the etfs which would be a good addition to a portfolio. Peer analysis of Columbia could also be used in its relative valuation, which is a method of valuing Columbia by comparing valuation metrics of similar companies.Columbia is one of the top ETFs in price to sales as compared to similar ETFs.
Columbia Fundamentals
| Price To Earning | 15.86 X | |||
| Price To Book | 2.28 X | |||
| Price To Sales | 1.26 X | |||
| Number Of Employees | 189 | |||
| Total Asset | 5.3 M | |||
| One Year Return | (8.41) % | |||
| Three Year Return | 5.44 % | |||
| Five Year Return | (2.35) % | |||
| Net Asset | 5.3 M | |||
| Last Dividend Paid | 0.1 |
Pair Trading with Columbia
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 Columbia 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 Columbia will appreciate offsetting losses from the drop in the long position's value.The ability to find closely correlated positions to BlackRock could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace BlackRock 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 BlackRock - 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 BlackRock to buy it.
The correlation of BlackRock 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 BlackRock moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if BlackRock 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 BlackRock 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 Risk vs Return Analysis to better understand how to build diversified portfolios. Also, note that the market value of any etf could be closely tied with the direction of predictive economic indicators such as signals in bureau of economic analysis. You can also try the Equity Search module to search for actively traded equities including funds and ETFs from over 30 global markets.
Other Tools for Columbia Etf
When running Columbia's price analysis, check to measure Columbia'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 Columbia is operating at the current time. Most of Columbia's value examination focuses on studying past and present price action to predict the probability of Columbia's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Columbia's price. Additionally, you may evaluate how the addition of Columbia to your portfolios can decrease your overall portfolio volatility.
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