A W Other Assets from 2010 to 2026

AW Stock   37.66  0.94  2.44%   
A W Other Assets yearly trend continues to be very stable with very little volatility. Other Assets are likely to grow to about 18 M this year. During the period from 2010 to 2026, A W Other Assets quarterly data regression pattern had sample variance of 46.7 T and median of  29,695,000. View All Fundamentals
 
Other Assets  
First Reported
2010-12-31
Previous Quarter
9.5 M
Current Value
18 M
Quarterly Volatility
6.8 M
 
Credit Downgrade
 
Yuan Drop
 
Covid
Check A W financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among A W's main balance sheet or income statement drivers, such as Depreciation And Amortization of 4.3 M, Interest Expense of 16.4 M or Selling General Administrative of 47.8 M, as well as many indicators such as Price To Sales Ratio of 1.78, Dividend Yield of 0.0359 or PTB Ratio of 4.96. A W financial statements analysis is a perfect complement when working with A W Valuation or Volatility modules.
  
This module can also supplement various A W Technical models . Check out the analysis of A W Correlation against competitors.

Latest A W's Other Assets Growth Pattern

Below is the plot of the Other Assets of A W FOOD over the last few years. It is A W's Other Assets historical data analysis aims to capture in quantitative terms the overall pattern of either growth or decline in A W's overall financial position and show how it may be relating to other accounts over time.
Other Assets10 Years Trend
Slightly volatile
   Other Assets   
       Timeline  

A W Other Assets Regression Statistics

Arithmetic Mean26,561,045
Geometric Mean25,257,997
Coefficient Of Variation25.73
Mean Deviation4,890,161
Median29,695,000
Standard Deviation6,835,189
Sample Variance46.7T
Range20.2M
R-Value(0.65)
Mean Square Error28.6T
R-Squared0.43
Significance0
Slope(884,437)
Total Sum of Squares747.5T

A W Other Assets History

202618 M
20259.5 M
202410.6 M
202327.4 M

About A W Financial Statements

A W investors utilize fundamental indicators, such as Other Assets, to predict how A W 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
Other Assets9.5 M18 M

Pair Trading with A W

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

Moving against A W Stock

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

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