Aluminum Corp Stock Working Capital

Aluminum Corp fundamentals help investors to digest information that contributes to Aluminum Corp's financial success or failures. It also enables traders to predict the movement of Aluminum Stock. The fundamental analysis module provides a way to measure Aluminum Corp's intrinsic value by examining its available economic and financial indicators, including the cash flow records, the balance sheet account changes, the income statement patterns, and various microeconomic indicators and financial ratios related to Aluminum Corp stock.
  
This module does not cover all equities due to inconsistencies in global equity categorizations. Continue to Equity Screeners to view more equity screening tools.

Aluminum Corp Company Working Capital Analysis

Aluminum Corp's Working Capital is a measure of company efficiency and operating liquidity. The working capital is usually calculated by subtracting Current Liabilities from Current Assets. It is an important indicator of the firm ability to continue its normal operations without additional debt obligations. .

Working Capital

 = 

Current Assets

-

Current Liabilities

More About Working Capital | All Equity Analysis

Current Aluminum Corp Working Capital

    
  (2.58 B)  
Most of Aluminum Corp's fundamental indicators, such as Working Capital, are part of a valuation analysis module that helps investors searching for stocks that are currently trading at higher or lower prices than their real value. If the real value is higher than the market price, Aluminum Corp is considered to be undervalued, and we provide a buy recommendation. Otherwise, we render a sell signal.
Working Capital can be positive or negative, depending on how much of current debt the company is carrying on its balance sheet. In general terms, companies that have a lot of working capital will experience more growth in the near future since they can expand and improve their operations using existing resources. On the other hand, companies with small or negative working capital may lack the funds necessary for growth or future operation. Working Capital also shows if the company has sufficient liquid resources to satisfy short-term liabilities and operational expenses.
Competition

In accordance with the company's disclosures, Aluminum Corp has a Working Capital of (2.58 Billion). This is 460.62% lower than that of the Metals & Mining sector and 21.21% lower than that of the Materials industry. The working capital for all United States stocks is significantly higher than that of the company.

Aluminum Working Capital Peer Comparison

Stock peer comparison is one of the most widely used and accepted methods of equity analyses. It analyses Aluminum Corp's direct or indirect competition against its Working Capital to detect undervalued stocks with similar characteristics or determine the stocks which would be a good addition to a portfolio. Peer analysis of Aluminum Corp could also be used in its relative valuation, which is a method of valuing Aluminum Corp by comparing valuation metrics of similar companies.
Aluminum Corp is currently under evaluation in working capital category among related companies.

Aluminum Fundamentals

Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards Aluminum Corp in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, Aluminum Corp's short interest history, or implied volatility extrapolated from Aluminum Corp options trading.

Pair Trading with Aluminum Corp

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 Aluminum Corp 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 Aluminum Corp will appreciate offsetting losses from the drop in the long position's value.
The ability to find closely correlated positions to Genuine Parts could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Genuine Parts 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 Genuine Parts - 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 Genuine Parts Co to buy it.
The correlation of Genuine Parts 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 Genuine Parts moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Genuine Parts 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 Genuine Parts 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
Check out Trending Equities to better understand how to build diversified portfolios. Also, note that the market value of any company could be tightly coupled with the direction of predictive economic indicators such as signals in main economic indicators.
Note that the Aluminum Corp information on this page should be used as a complementary analysis to other Aluminum Corp's statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Premium Stories module to follow Macroaxis premium stories from verified contributors across different equity types, categories and coverage scope.

Other Consideration for investing in Aluminum Stock

If you are still planning to invest in Aluminum Corp check if it may still be traded through OTC markets such as Pink Sheets or OTC Bulletin Board. You may also purchase it directly from the company, but this is not always possible and may require contacting the company directly. Please note that delisted stocks are often considered to be more risky investments, as they are no longer subject to the same regulatory and reporting requirements as listed stocks. Therefore, it is essential to carefully research the Aluminum Corp's history and understand the potential risks before investing.
Content Syndication
Quickly integrate customizable finance content to your own investment portal
Cryptocurrency Center
Build and monitor diversified portfolio of extremely risky digital assets and cryptocurrency
Stocks Directory
Find actively traded stocks across global markets
Equity Search
Search for actively traded equities including funds and ETFs from over 30 global markets
FinTech Suite
Use AI to screen and filter profitable investment opportunities
Competition Analyzer
Analyze and compare many basic indicators for a group of related or unrelated entities
Price Ceiling Movement
Calculate and plot Price Ceiling Movement for different equity instruments
Idea Analyzer
Analyze all characteristics, volatility and risk-adjusted return of Macroaxis ideas
Watchlist Optimization
Optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm