Applied vs Tower Comparison

Applied vs Tower comparative analysis provides an insight into diversification possibilities from combining Applied and Tower into the same portfolio. You can use this module to analyze the comparative aspects of Applied and Tower across most of their technical and fundamental indicators. Please use the input box below to enter a few concurrent symbols you would like to analyze. With this comparative module, you can estimate the relative strength of Applied against Tower. Check out your portfolio center.
Specify up to 10 symbols:
The Macroaxis Comparable Analysis module helps investors to evaluate stocks by comparing them to other traded companies based on similar metrics to determine their enterprise value. The basic idea behind this approach is that Applied Materials and Tower Semiconductor should bear some resemblance to each other or to other equities in a similar class. Tower Semiconductor At this time, Applied Materials' Total Revenue is comparatively stable compared to the past year. Cost Of Revenue is likely to gain to about 1.1 B in 2024, whereas Revenue Per Share is likely to drop 12.15 in 2024.

Correlation Matrix

Typically, diversification allows investors to combine positions across different asset classes to reduce overall portfolio risk. Correlation between positions in your portfolio represents the degree of relationship between the price movements of corresponding instruments. A correlation of about +1.0 implies that the prices move in tandem. A correlation of -1.0 means that prices move in opposite directions. A correlation of close to zero suggests that the price movements of assets are uncorrelated.
Please specify at least 3 valid symbols having historical data to build a meaningful correlation cloud. You can use symbol search above to locate your securities.

Cross Equities Net Income Analysis

Compare Applied Materials, and Tower Semiconductor Net Income Over Time
Select Fundamental
Price To Sales RatioPtb Ratio
Capex To DepreciationPb Ratio
RoicInventory Turnover
Net Income Per SharePayables Turnover
Sales General And Administrative To RevenueResearch And Ddevelopement To Revenue
PocfratioInterest Coverage
Capex To Operating Cash FlowPfcf Ratio
Income QualityRoe
Ev To Operating Cash FlowPe Ratio
Return On Tangible AssetsEv To Free Cash Flow
Earnings YieldIntangibles To Total Assets
Current RatioReceivables Turnover
Debt To EquityRevenue Per Share
Debt To AssetsDividend Yield
Days Sales OutstandingBook Value Per Share
Free Cash Flow YieldInvested Capital
Operating Cash Flow Per ShareAverage Payables
Stock Based Compensation To RevenueEv To Sales
Free Cash Flow Per ShareDays Of Inventory On Hand
Average InventoryCapex To Revenue
Cash Per SharePayout Ratio
Days Payables OutstandingNet Current Asset Value
Tangible Asset ValueNet Debt To E B I T D A
Tangible Book Value Per ShareGraham Number
Shareholders Equity Per ShareCapex Per Share
Graham Net NetAverage Receivables
Interest Debt Per ShareEnterprise Value Over E B I T D A
Short Term Coverage RatiosPrice Earnings Ratio
Price Book Value RatioPrice Earnings To Growth Ratio
Price To Operating Cash Flows RatioPrice To Free Cash Flows Ratio
Pretax Profit MarginEbt Per Ebit
Operating Profit MarginEffective Tax Rate
Company Equity MultiplierLong Term Debt To Capitalization
Total Debt To CapitalizationReturn On Capital Employed
Debt Equity RatioEbit Per Revenue
Quick RatioDividend Paid And Capex Coverage Ratio
Net Income Per E B TCash Ratio
Free Cash Flow Operating Cash Flow RatioCash Flow Coverage Ratios
Price To Book RatioFixed Asset Turnover
Capital Expenditure Coverage RatioPrice Cash Flow Ratio
Debt RatioCash Flow To Debt Ratio
Price Sales RatioReturn On Assets
Asset TurnoverNet Profit Margin
Gross Profit MarginPrice Fair Value
Return On EquityOperating Cycle
Days Of Payables OutstandingDividend Payout Ratio
Cash Conversion CycleOperating Cash Flow Sales Ratio
Days Of Inventory OutstandingDays Of Sales Outstanding
Enterprise Value Multiple
201020112012201320142015201620172018201920202021202220232024
AMAT9.3 M109 M256 M1.1 B1.4 B1.7 B3.4 B3.3 B2.7 B3.6 B5.9 B6.5 B6.9 B7.2 B7.5 B
TSEM7.8 M(18.5 M)(70.3 M)(107.7 M)4.3 M(29.6 M)203.9 M298 M135.6 M90 M82.3 M150 M264.6 M518.5 M544.4 M

Applied Materials, and Tower Semiconductor Net Income description

Net income is one of the most important fundamental items in finance. It plays a large role in entities financial statement analysis. It represents the amount of money remaining after all of organizations operating expenses, interest, taxes and preferred stock dividends have been deducted from a company total revenue.

Competitive Analysis

    
 Better Than Average     
    
 Worse Than Peers    View Performance Chart
AMAT TSEM
 0.50 
 174.88 
 0.04 
 47.83 
Market Volatility
(90 Days Market Risk)
Market Performance
(90 Days Performance)
Odds of Financial Distress
(Probability Of Bankruptcy)
Current Valuation
(Equity Enterprise Value)
Buy or Sell Advice
(Average Analysts Consensus)
Trade Advice
(90 Days Macroaxis Advice)
Current Ratio
Net Asset
Profit Margin
EBITDA
Operating Margin
Current Valuation
Price To Book
Retained Earnings
Current Asset
Five Year Return
Beta
Number Of Employees
Shares Outstanding
Cash Flow From Operations
Annual Yield
Total Debt
Return On Equity
Return On Asset
Number Of Shares Shorted
Book Value Per Share
Current Liabilities
Total Asset
Debt To Equity
Short Ratio
Target Price
Shares Owned By Institutions
Market Capitalization
Price To Earning
Price To Earnings To Growth
Price To Sales
Net Income
Earnings Per Share
Shares Owned By Insiders
Revenue
Working Capital
Cash And Equivalents
Cash Per Share
Gross Profit
Day Typical Price
Accumulation Distribution
Market Facilitation Index
Daily Balance Of Power
Period Momentum Indicator
Rate Of Daily Change
Day Median Price
Price Action Indicator
Relative Strength Index
Coefficient Of Variation
Mean Deviation
Jensen Alpha
Total Risk Alpha
Sortino Ratio
Downside Variance
Standard Deviation
Kurtosis
Potential Upside
Treynor Ratio
Maximum Drawdown
Variance
Market Risk Adjusted Performance
Risk Adjusted Performance
Skewness
Semi Deviation
Information Ratio
Value At Risk
Expected Short fall
Downside Deviation
Semi Variance

Market Neutrality

One of the main advantages of trading using market-neutral strategies is that every trade hedges away some risk. Because there are two separate transactions required, even if one position performs unexpectedly, the other equity can make up some of the losses.
Please note, the success of pairs trading depends heavily on the modeling and forecasting of the spread time series. However, in general, pair trading minimizes risk from directional movements in the market unless the strategy's equities are perfectly correlated. For example, if an entire industry or sector drops because of unexpected headlines, the first equity's short position will appreciate offsetting losses from the drop in the long position's value.

Five steps to successful analysis of competition

Competitive analysis is the process of researching and evaluating the competitive landscape of a business entity. It provides an understanding of the company's strengths, weaknesses, opportunities, and threats (SWOT) in relation to its competition. The competition analysis typically involves several steps, including:
  • Identifying the key players in the market: This involves identifying the major competitors across the sector or industry, both direct and indirect, as well as new entrants and disruptive technologies.
  • Assessing the strengths and weaknesses of each competitor: This involves evaluating each competitor's strengths and weaknesses in areas such as product offerings, market share, brand recognition, financial performance, and distribution channels.
  • Understanding the competitive environment: This involves evaluating the regulatory environment, economic conditions, and other factors that may impact the competitive landscape.
  • Identifying opportunities and threats: This involves using the information gathered during the analysis to identify opportunities and threats and developing a strategy to address them.
  • Evaluating the competitive landscape: This involves understanding the competitive dynamics of the market, such as pricing, marketing, and distribution strategies, as well as analyzing the competitive advantage of each competitor.
Competitive analysis is an essential tool for businesses to stay ahead of the competition and can be used to inform decision-making and strategy development. By understanding the competitive landscape and staying informed about the activities of competitors, a company can make more informed decisions and improve its overall performance.

Generate Optimal Portfolios

The classical approach to portfolio optimization is known as Modern Portfolio Theory (MPT). It involves categorizing the investment universe based on risk (standard deviation) and return, and then choosing the mix of investments that achieves the desired risk-versus-return tradeoff. Portfolio optimization can also be thought of as a risk-management strategy as every type of equity has a distinct return and risk characteristics as well as different systemic risks, which describes how they respond to the market at large. Macroaxis enables investors to optimize portfolios that have a mix of equities (such as stocks, funds, or ETFs) and cryptocurrencies (such as Bitcoin, Ethereum or Monero)
By capturing your risk tolerance and investment horizon Macroaxis technology of instant portfolio optimization will compute exactly how much risk is acceptable for your desired return expectations
Check out your portfolio center.
Note that this page's information should be used as a complementary analysis 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 Money Flow Index module to determine momentum by analyzing Money Flow Index and other technical indicators.

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