Loblaw Short Term Debt from 2010 to 2024

L Stock  CAD 178.14  0.88  0.50%   
Loblaw Companies Short Term Debt yearly trend continues to be very stable with very little volatility. Short Term Debt is likely to grow to about 3.7 B this year. During the period from 2010 to 2024, Loblaw Companies Short Term Debt quarterly data regression pattern had sample variance of 994979.6 T and median of  2,385,000,000. View All Fundamentals
 
Short Term Debt  
First Reported
1997-12-31
Previous Quarter
3.1 B
Current Value
2.9 B
Quarterly Volatility
995.7 M
 
Dot-com Bubble
 
Housing Crash
 
Credit Downgrade
 
Yuan Drop
 
Covid
Check Loblaw Companies financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among Loblaw Companies' main balance sheet or income statement drivers, such as Depreciation And Amortization of 3.1 B, Interest Expense of 866.2 M or Total Revenue of 36.9 B, as well as many indicators such as Price To Sales Ratio of 0.36, Dividend Yield of 0.0132 or PTB Ratio of 2.48. Loblaw financial statements analysis is a perfect complement when working with Loblaw Companies Valuation or Volatility modules.
  
This module can also supplement various Loblaw Companies Technical models . Check out the analysis of Loblaw Companies Correlation against competitors.

Pair Trading with Loblaw Companies

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 Loblaw Companies 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 Loblaw Companies will appreciate offsetting losses from the drop in the long position's value.

Moving together with Loblaw Stock

  0.75AMZN Amazon CDRPairCorr
The ability to find closely correlated positions to Loblaw Companies could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Loblaw Companies 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 Loblaw Companies - 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 Loblaw Companies Limited to buy it.
The correlation of Loblaw Companies 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 Loblaw Companies moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Loblaw Companies 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 Loblaw Companies 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

Other Information on Investing in Loblaw Stock

Loblaw Companies financial ratios help investors to determine whether Loblaw 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 Loblaw with respect to the benefits of owning Loblaw Companies security.