Open Short Term Debt from 2010 to 2024

OTEX Stock  CAD 40.78  0.40  0.99%   
Open Text Short Term Debt yearly trend continues to be very stable with very little volatility. Short Term Debt is likely to drop to about 83.2 M. During the period from 2010 to 2024, Open Text Short Term Debt quarterly data regression pattern had sample variance of 34360.2 T and median of  62,582,000. View All Fundamentals
 
Short Term Debt  
First Reported
1996-12-31
Previous Quarter
126.8 M
Current Value
112.3 M
Quarterly Volatility
174.4 M
 
Dot-com Bubble
 
Housing Crash
 
Credit Downgrade
 
Yuan Drop
 
Covid
Check Open Text financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among Open Text's main balance sheet or income statement drivers, such as Interest Expense of 593.6 M, Total Revenue of 6.1 B or Gross Profit of 4.4 B, as well as many indicators such as Price To Sales Ratio of 1.34, Dividend Yield of 0.0344 or PTB Ratio of 3.16. Open financial statements analysis is a perfect complement when working with Open Text Valuation or Volatility modules.
  
This module can also supplement various Open Text Technical models . Check out the analysis of Open Text Correlation against competitors.

Pair Trading with Open Text

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 Open Text 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 Open Text will appreciate offsetting losses from the drop in the long position's value.
The ability to find closely correlated positions to Open Text could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Open Text 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 Open Text - 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 Open Text Corp to buy it.
The correlation of Open Text 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 Open Text moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Open Text Corp 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 Open Text 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
When determining whether Open Text Corp offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of Open Text's financial statements, including income statements, balance sheets, and cash flow statements, to assess its financial health. Key financial ratios are used to gauge profitability, efficiency, and growth potential of Open Text Corp Stock. Outlined below are crucial reports that will aid in making a well-informed decision on Open Text Corp Stock:
Check out the analysis of Open Text Correlation against competitors.
You can also try the Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
Please note, there is a significant difference between Open Text's value and its price as these two are different measures arrived at by different means. Investors typically determine if Open Text is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Open Text'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.