Tarapur vs Sri Comparison

Tarapur vs Sri comparative analysis provides an insight into diversification possibilities from combining Tarapur and Sri into the same portfolio. You can use this module to analyze the comparative aspects of Tarapur and Sri 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 Tarapur against Sri. 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 Tarapur Transformers and Sri Havisha should bear some resemblance to each other or to other equities in a similar class. Sri Havisha As of 12/30/2024, Current Deferred Revenue is likely to grow to about 1.1 M. Also, Total Revenue is likely to grow to about 151.2 M

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 Tarapur Transformers, and Sri Havisha Hospitality Net Income Over Time
201020112012201320142015201620172018201920202021202220232024
HAVISHA(40.2 M)(1.6 M)(31.7 M)(1.1 M)(5.5 M)(35.2 M)(114.8 M)(13.2 M)(13.1 M)123.3 M(3.9 M)5.8 M15 M(41.5 M)(39.4 M)

Tarapur Transformers, and Sri Havisha Hospitality 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
HAVISHA
 1.63 
 2.42 
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)
Not Available
Not Available
Trade Advice
(90 Days Macroaxis Advice)
Net Asset
Profit Margin
EBITDA
Operating Margin
Current Valuation
Price To Book
Retained Earnings
Beta
Number Of Employees
Shares Outstanding
Cash Flow From Operations
Total Debt
Return On Equity
Return On Asset
Book Value Per Share
Total Asset
Market Capitalization
Price To Sales
Net Income
Earnings Per Share
Shares Owned By Insiders
Revenue
Working Capital
Cash And Equivalents
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.

Trending Themes

If you are a self-driven investor, you will appreciate our idea-generating investing themes. Our themes help you align your investments inspirations with your core values and are essential building blocks of your portfolios. A typical investing theme is an unweighted collection of up to 20 funds, stocks, ETFs, or cryptocurrencies that are programmatically selected from a pull of equities with common characteristics such as industry and growth potential, volatility, or market segment.
Banking Idea
Banking
Sold over 500 shares
Artificial Intelligence Idea
Artificial Intelligence
Invested over 500 shares
Real Estate Idea
Real Estate
Sold over 100 shares
Macroaxis Index Idea
Macroaxis Index
Invested over 400 shares
Social Domain Idea
Social Domain
Invested over 500 shares
Medical Equipment Idea
Medical Equipment
Sold over 100 shares
Climate Change Idea
Climate Change
Sold over 100K shares
Driverless Cars Idea
Driverless Cars
Sold over 10K shares
Cars Idea
Cars
Invested over 100K shares
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 Idea Breakdown module to analyze constituents of all Macroaxis ideas. Macroaxis investment ideas are predefined, sector-focused investing themes.

Other Complementary Tools

Portfolio Diagnostics
Use generated alerts and portfolio events aggregator to diagnose current holdings
Risk-Return Analysis
View associations between returns expected from investment and the risk you assume
Portfolio Suggestion
Get suggestions outside of your existing asset allocation including your own model portfolios
Aroon Oscillator
Analyze current equity momentum using Aroon Oscillator and other momentum ratios
Pattern Recognition
Use different Pattern Recognition models to time the market across multiple global exchanges