ConocoPhillips Change To Liabilities from 2010 to 2024

COP Stock  USD 108.34  0.95  0.88%   
ConocoPhillips Change To Liabilities yearly trend continues to be relatively stable with very little volatility. Change To Liabilities is likely to grow to about 851.4 M this year. During the period from 2010 to 2024, ConocoPhillips Change To Liabilities destribution of quarterly values had r-value of  0.50 from its regression line and median of (52,000,000). View All Fundamentals
 
Change To Liabilities  
First Reported
2003-03-31
Previous Quarter
-348 M
Current Value
777 M
Quarterly Volatility
889.1 M
 
Housing Crash
 
Credit Downgrade
 
Yuan Drop
 
Covid
Check ConocoPhillips financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among ConocoPhillips' main balance sheet or income statement drivers, such as Depreciation And Amortization of 4.8 B, Interest Expense of 565.9 M or Selling General Administrative of 1.3 B, as well as many indicators such as Price To Sales Ratio of 2.53, Dividend Yield of 0.042 or PTB Ratio of 2.97. ConocoPhillips financial statements analysis is a perfect complement when working with ConocoPhillips Valuation or Volatility modules.
  
Check out the analysis of ConocoPhillips Correlation against competitors.
To learn how to invest in ConocoPhillips Stock, please use our How to Invest in ConocoPhillips guide.

Latest ConocoPhillips' Change To Liabilities Growth Pattern

Below is the plot of the Change To Liabilities of ConocoPhillips over the last few years. It is ConocoPhillips' Change To Liabilities historical data analysis aims to capture in quantitative terms the overall pattern of either growth or decline in ConocoPhillips' overall financial position and show how it may be relating to other accounts over time.
Change To Liabilities10 Years Trend
Slightly volatile
   Change To Liabilities   
       Timeline  

ConocoPhillips Change To Liabilities Regression Statistics

Arithmetic Mean46,489,667
Coefficient Of Variation1,670
Mean Deviation602,187,600
Median(52,000,000)
Standard Deviation776,549,560
Sample Variance603029.2T
Range3B
R-Value0.50
Mean Square Error488678.6T
R-Squared0.25
Significance0.06
Slope86,387,554
Total Sum of Squares8442409.1T

ConocoPhillips Change To Liabilities History

2024851.4 M
2023810.9 M
2022901 M
20211.4 B
2020-249 M
2019-378 M
2018-52 M

About ConocoPhillips Financial Statements

ConocoPhillips shareholders use historical fundamental indicators, such as Change To Liabilities, to determine how well the company is positioned to perform in the future. Although ConocoPhillips investors may analyze each financial statement separately, they are all interrelated. The changes in ConocoPhillips' assets and liabilities, for example, are also reflected in the revenues and expenses on on ConocoPhillips' income statement. Understanding these patterns can help investors time the market effectively. Please read more on our fundamental analysis page.
Last ReportedProjected for Next Year
Change To Liabilities810.9 M851.4 M

Pair Trading with ConocoPhillips

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

Moving together with ConocoPhillips Stock

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

Additional Tools for ConocoPhillips Stock Analysis

When running ConocoPhillips' price analysis, check to measure ConocoPhillips' market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy ConocoPhillips is operating at the current time. Most of ConocoPhillips' value examination focuses on studying past and present price action to predict the probability of ConocoPhillips' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move ConocoPhillips' price. Additionally, you may evaluate how the addition of ConocoPhillips to your portfolios can decrease your overall portfolio volatility.