Big Change To Liabilities from 2010 to 2024

PRM Stock  CAD 13.20  0.01  0.08%   
Big Pharma Change To Liabilities yearly trend continues to be very stable with very little volatility. Change To Liabilities is likely to drop to 0.00. At this time, Big Pharma's Depreciation And Amortization is very stable compared to the past year. As of the 11th of December 2024, Other Operating Expenses is likely to grow to about 495.3 K, while Selling General Administrative is likely to drop about 308.6 K. . View All Fundamentals
 
Change To Liabilities  
First Reported
2010-12-31
Previous Quarter
0.0
Current Value
0.0
Quarterly Volatility
0.0
 
Credit Downgrade
 
Yuan Drop
 
Covid
Check Big Pharma financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among Big Pharma's main balance sheet or income statement drivers, such as Depreciation And Amortization of 381.4 K, Interest Expense of 0.0 or Selling General Administrative of 308.6 K, as well as many indicators such as Price To Sales Ratio of 56.35, Dividend Yield of 0.12 or PTB Ratio of 0.8. Big financial statements analysis is a perfect complement when working with Big Pharma Valuation or Volatility modules.
  
This module can also supplement various Big Pharma Technical models . Check out the analysis of Big Pharma Correlation against competitors.

Pair Trading with Big Pharma

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 Big Pharma 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 Big Pharma will appreciate offsetting losses from the drop in the long position's value.

Moving together with Big Stock

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Moving against Big Stock

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

Big Pharma financial ratios help investors to determine whether Big 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 Big with respect to the benefits of owning Big Pharma security.