Premium Dividend Payout Ratio from 2010 to 2024

PBH Stock  CAD 78.57  0.31  0.40%   
Premium Brands Dividend Payout Ratio yearly trend continues to be very stable with very little volatility. Dividend Payout Ratio is likely to drop to 0.92. During the period from 2010 to 2024, Premium Brands Dividend Payout Ratio quarterly data regression pattern had sample variance of  0.58 and median of  0.92. View All Fundamentals
 
Dividend Payout Ratio  
First Reported
2010-12-31
Previous Quarter
1.42675159
Current Value
0.92
Quarterly Volatility
0.75920005
 
Credit Downgrade
 
Yuan Drop
 
Covid
Check Premium Brands financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among Premium Brands' main balance sheet or income statement drivers, such as Depreciation And Amortization of 168 M, Interest Expense of 186.2 M or Selling General Administrative of 745.7 M, as well as many indicators such as Price To Sales Ratio of 0.46, Dividend Yield of 0.0558 or PTB Ratio of 1.62. Premium financial statements analysis is a perfect complement when working with Premium Brands Valuation or Volatility modules.
  
This module can also supplement various Premium Brands Technical models . Check out the analysis of Premium Brands Correlation against competitors.

Pair Trading with Premium Brands

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 Premium Brands 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 Premium Brands will appreciate offsetting losses from the drop in the long position's value.

Moving together with Premium Stock

  0.75HPQ HPQ Silicon ResourcesPairCorr

Moving against Premium Stock

  0.32DFR Diamond Fields ResourcesPairCorr
The ability to find closely correlated positions to Premium Brands could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Premium Brands 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 Premium Brands - 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 Premium Brands Holdings to buy it.
The correlation of Premium Brands 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 Premium Brands moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Premium Brands Holdings 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 Premium Brands 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 Premium Stock

Premium Brands financial ratios help investors to determine whether Premium 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 Premium with respect to the benefits of owning Premium Brands security.