Power Net Receivables from 2010 to 2026

POW Stock  CAD 71.93  1.02  1.40%   
Power Net Receivables yearly trend continues to be very stable with very little volatility. Net Receivables is likely to drop to about 6.1 B. During the period from 2010 to 2026, Power Net Receivables quarterly data regression pattern had sample variance of 4611862.3 T and median of  6,160,000,000. View All Fundamentals
 
Net Receivables  
First Reported
2007-12-31
Previous Quarter
6.6 B
Current Value
8.5 B
Quarterly Volatility
2.4 B
 
Housing Crash
 
Credit Downgrade
 
Yuan Drop
 
Covid
Check Power financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among Power's main balance sheet or income statement drivers, such as Depreciation And Amortization of 1 B, Interest Expense of 949.1 M or Selling General Administrative of 13.5 B, as well as many indicators such as Price To Sales Ratio of 1.06, Dividend Yield of 0.0652 or PTB Ratio of 1.75. Power financial statements analysis is a perfect complement when working with Power Valuation or Volatility modules.
  
This module can also supplement various Power Technical models . Check out the analysis of Power Correlation against competitors.

Latest Power's Net Receivables Growth Pattern

Below is the plot of the Net Receivables of Power over the last few years. It is Power's Net Receivables historical data analysis aims to capture in quantitative terms the overall pattern of either growth or decline in Power's overall financial position and show how it may be relating to other accounts over time.
Net Receivables10 Years Trend
Slightly volatile
   Net Receivables   
       Timeline  

Power Net Receivables Regression Statistics

Arithmetic Mean5,945,629,044
Geometric Mean5,531,477,268
Coefficient Of Variation36.12
Mean Deviation1,753,106,272
Median6,160,000,000
Standard Deviation2,147,524,695
Sample Variance4611862.3T
Range7.5B
R-Value0.89
Mean Square Error1064642.5T
R-Squared0.78
Slope376,451,961
Total Sum of Squares73789797.1T

Power Net Receivables History

20266.1 B
20259.8 B
20248.5 B
20236.6 B
20228.4 B
20217.6 B
20207.3 B

About Power Financial Statements

Power investors utilize fundamental indicators, such as Net Receivables, to predict how Power Stock might perform in the future. Analyzing these trends over time helps investors make informed market timing decisions. For further insights, please visit our fundamental analysis page.
Last ReportedProjected for Next Year
Net Receivables9.8 B6.1 B

Pair Trading with Power

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

Moving together with Power Stock

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Moving against Power Stock

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

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