American Change To Liabilities from 2010 to 2024

AEP Stock  USD 98.10  0.51  0.52%   
American Electric Change To Liabilities yearly trend continues to be relatively stable with very little volatility. Change To Liabilities is likely to grow to about 932.4 M this year. During the period from 2010 to 2024, American Electric Change To Liabilities destribution of quarterly values had r-value of  0.11 from its regression line and median of  318,000,000. View All Fundamentals
 
Change To Liabilities  
First Reported
2000-12-31
Previous Quarter
-65.5 M
Current Value
-225.6 M
Quarterly Volatility
375.3 M
 
Housing Crash
 
Credit Downgrade
 
Yuan Drop
 
Covid
Check American Electric financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among American Electric's main balance sheet or income statement drivers, such as Interest Expense of 1.9 B, Total Revenue of 13.9 B or Gross Profit of 8.1 B, as well as many indicators such as Price To Sales Ratio of 1.16, Dividend Yield of 0.0496 or PTB Ratio of 1.34. American financial statements analysis is a perfect complement when working with American Electric Valuation or Volatility modules.
  
Check out the analysis of American Electric Correlation against competitors.

Latest American Electric's Change To Liabilities Growth Pattern

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

American Change To Liabilities Regression Statistics

Arithmetic Mean392,110,767
Coefficient Of Variation117.89
Mean Deviation354,479,587
Median318,000,000
Standard Deviation462,246,212
Sample Variance213671.6T
Range1.6B
R-Value0.11
Mean Square Error227510T
R-Squared0.01
Significance0.71
Slope10,982,502
Total Sum of Squares2991401.8T

American Change To Liabilities History

2024932.4 M
2023888 M
2022986.7 M
2021413.5 M
2020-325.2 M
2019-160.4 M
2018468.6 M

About American Electric Financial Statements

American Electric shareholders use historical fundamental indicators, such as Change To Liabilities, to determine how well the company is positioned to perform in the future. Although American Electric investors may analyze each financial statement separately, they are all interrelated. The changes in American Electric's assets and liabilities, for example, are also reflected in the revenues and expenses on on American Electric's 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 Liabilities888 M932.4 M

Pair Trading with American Electric

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

Moving together with American Stock

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Moving against American Stock

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

When running American Electric's price analysis, check to measure American Electric's 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 American Electric is operating at the current time. Most of American Electric's value examination focuses on studying past and present price action to predict the probability of American Electric's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move American Electric's price. Additionally, you may evaluate how the addition of American Electric to your portfolios can decrease your overall portfolio volatility.