Data Communications Ownership
| DCM Stock | CAD 1.89 0.12 6.78% |
Shares in Circulation | First Issued 2005-09-30 | Previous Quarter 55 M | Current Value 55.3 M | Avarage Shares Outstanding 16 M | Quarterly Volatility 20.1 M |
Please note, institutional investors have a lot of resources and new technology at their disposal. They can put in a lot of research and financial analysis when reviewing investment options. There are many different types of institutional investors, including banks, hedge funds, insurance companies, and pension plans. One of the main advantages they have over retail investors is the fees paid for trades. As they are buying in large quantities, they can manage their cost more effectively.
Data |
Data Stock Ownership Analysis
About 22.0% of the company shares are held by company insiders. The book value of Data Communications was currently reported as 0.74. The company has Price/Earnings (P/E) ratio of 312.5. Data Communications recorded a loss per share of 0.07. The entity last dividend was issued on the 26th of September 2013. The firm had 1:100 split on the 7th of July 2016. DATA Communications Management Corp. provides business communication solutions in North America. DATA Communications Management Corp. was founded in 1959 and is based in Brampton, Canada. DATA COMMUNICATIONS operates under Business Services classification in Canada and is traded on Toronto Stock Exchange. It employs 1250 people. To learn more about Data Communications Management call Richard Kellam at 905 791 3151 or check out https://www.datacm.com.Data Communications Outstanding Bonds
Data Communications issues bonds to finance its operations. Corporate bonds make up one of the largest components of the U.S. bond market, which is considered the world's largest securities market. Data Communications uses the proceeds from bond sales for a wide variety of purposes, including financing ongoing mergers and acquisitions, buying new equipment, investing in research and development, buying back their own stock, paying dividends to shareholders, and even refinancing existing debt. Most Data bonds can be classified according to their maturity, which is the date when Data Communications Management has to pay back the principal to investors. Maturities can be short-term, medium-term, or long-term (more than ten years). Longer-term bonds usually offer higher interest rates but may entail additional risks.
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Pair Trading with Data Communications
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 Data Communications 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 Data Communications will appreciate offsetting losses from the drop in the long position's value.Moving against Data Stock
| 0.76 | FFH-PM | Fairfax Financial | PairCorr |
| 0.75 | FFH | Fairfax Financial | PairCorr |
| 0.73 | FFH-PD | Fairfax Financial | PairCorr |
| 0.66 | FFH-PE | Fairfax Financial | PairCorr |
| 0.64 | FFH-PH | Fairfax Financial | PairCorr |
The ability to find closely correlated positions to Data Communications could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Data Communications 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 Data Communications - 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 Data Communications Management to buy it.
The correlation of Data Communications 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 Data Communications moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Data Communications 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 Data Communications 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.Other Information on Investing in Data Stock
Data Communications financial ratios help investors to determine whether Data Stock is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Data with respect to the benefits of owning Data Communications security.