Compare India to Indo, Kingfa, Alkali, Mahindra, Krebs, KNR

Comparing India to Indo, Kingfa, Alkali, Mahindra, Krebs, KNR can provide valuable insights into potential diversification opportunities when combining these positions into a portfolio. By using this module, you can analyze the advantages of specified entities, assessing both technical and fundamental indicators across various peers. Please use the input box below to enter the symbols for specific investments you'd like to analyze. Check out your portfolio center.

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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.

	INDIAGLYCO	INDOBORAX	KINGFA	ALKALI	MAHLOG	KREBSBIO	KNRCON
INDIAGLYCO		0.19	0.51	0.29	0.7	-0.27	0.29	INDIAGLYCO
INDOBORAX	0.19		0.72	0.66	0.61	0.12	0.56	INDOBORAX
KINGFA	0.51	0.72		0.64	0.79	-0.02	0.75	KINGFA
ALKALI	0.29	0.66	0.64		0.44	0.14	0.57	ALKALI
MAHLOG	0.7	0.61	0.79	0.44		-0.23	0.69	MAHLOG
KREBSBIO	-0.27	0.12	-0.02	0.14	-0.23		0.09	KREBSBIO
KNRCON	0.29	0.56	0.75	0.57	0.69	0.09		KNRCON
	INDIAGLYCO	INDOBORAX	KINGFA	ALKALI	MAHLOG	KREBSBIO	KNRCON

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High positive correlations

MAHLOG	+ 0.79	KINGFA
KNRCON	+ 0.75	KINGFA
KINGFA	+ 0.72	INDOBORAX
MAHLOG	+ 0.7	INDIAGLYCO
KNRCON	+ 0.69	MAHLOG
ALKALI	+ 0.66	INDOBORAX

High negative correlations

KREBSBIO	- 0.27	INDIAGLYCO
KREBSBIO	- 0.23	MAHLOG
KREBSBIO	- 0.02	KINGFA

Risk-Adjusted Indicators

There is a big difference between a company's stock performing well and the company itself doing well as a business compared to the competition. There are so many exceptions to the norm that investors cannot definitively determine what's good or bad unless they analyze multiple risk-adjusted performance indicators across the competitive landscape. These indicators are quantitative in nature and help investors forecast volatility and risk-adjusted expected returns across various positions.

	Mean Deviation	Jensen Alpha	Sortino Ratio	Treynor Ratio	Semi Deviation	Expected Shortfall	Potential Upside	Value @Risk	Maximum Drawdown
INDIAGLYCO	2.29	(0.06)	0.00	(0.14)	0.00	0.00	5.48	(4.42)	23.17
INDOBORAX	2.70	0.01	(0.02)	0.14	2.86	(3.36)	6.42	(5.16)	19.96
KINGFA	1.65	(0.25)	0.00	(0.79)	0.00	0.00	3.60	(3.65)	9.31
ALKALI	1.95	(0.05)	(0.03)	0.05	2.41	(2.27)	3.85	(4.61)	26.39
MAHLOG	1.37	(0.39)	0.00	4.53	0.00	0.00	2.45	(3.91)	9.42
KREBSBIO	2.53	0.39	0.23	0.42	1.58	(4.01)	5.00	(2.81)	9.84
KNRCON	1.98	(0.08)	0.00	(1.75)	0.00	0.00	3.86	(3.77)	10.31

Cross Equities Net Income Analysis

Compare India Glycols Limited, Indo Borax Chemicals, and Kingfa Science Technology Net Income Over Time

	2010	2011	2012	2013	2014	2015	2016	2017	2018	2019	2020	2021	2022	2023	2024
INDIAGLYCO	585.8 M	674.1 M	955.3 M	(1.6 B)	(886.4 M)	(491.2 M)	350.4 M	965.3 M	1.3 B	1.1 B	1.3 B	3.4 B	1.3 B	1.7 B	1.8 B
INDOBORAX	79.2 M	72.5 M	114.2 M	101.2 M	131 M	92.3 M	79.6 M	134 M	175.4 M	169.5 M	342.6 M	363.7 M	506.9 M	389.8 M	197.9 M
KINGFA	53.6 M	249 K	(50.5 M)	(84.8 M)	(30.4 M)	108 M	118.3 M	246.4 M	190.6 M	246.2 M	53.2 M	306.3 M	814.1 M	1.2 B	1.3 B
ALKALI	79.3 M	(163.5 M)	47.6 M	(19.6 M)	2.8 M	22.6 M	3.5 M	13.1 M	16.9 M	12.5 M	(12.1 M)	34.8 M	29.1 M	11.3 M	12.4 M
MAHLOG	244.2 M	244.2 M	244.2 M	366.2 M	392.6 M	365.4 M	455.9 M	640.1 M	856.4 M	551.2 M	300 M	370.7 M	262.8 M	(547.4 M)	(520 M)
KREBSBIO	(101.9 M)	(174.4 M)	(104.6 M)	(24.4 M)	(60 M)	(163.2 M)	(160.5 M)	(178.2 M)	(200.1 M)	(288.7 M)	(283.6 M)	(445.3 M)	(246.9 M)	(197.3 M)	(207.1 M)
KNRCON	308.7 M	468.1 M	490.7 M	604.6 M	697.6 M	1.3 B	1.1 B	2.4 B	2.7 B	2.7 B	4.1 B	3.8 B	4.6 B	7.8 B	8.2 B

India Glycols Limited, Indo Borax Chemicals, and Kingfa Science Technology 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

	INDIAGLYCO	INDOBORAX	KINGFA	ALKALI	MAHLOG	KREBSBIO	KNRCON
	3.53 1,196 India	3.58 193.01 Indo	1.50 2,896 Kingfa	0.1 114.70 Alkali	0.21 389.30 Mahindra	19.99 117.34 Krebs	2.08 321.25 KNR
Market Volatility (90 Days Market Risk)	Very steady	Very steady	Very steady	Very steady	Very steady	Very steady	Very steady
Market Performance (90 Days Performance)	Very Weak	Very Weak	Very Weak	Weak	Very Weak	Good	Very Weak
Odds of Financial Distress (Probability Of Bankruptcy)	Below Average	Low	Low	Below Average	Below Average	Below Average	Low
Current Valuation (Equity Enterprise Value)	Over Valued	Over Valued	Over Valued	Over Valued	Over Valued	Under Valued	Over Valued
Buy or Sell Advice (Average Analysts Consensus)	Not Available	Not Available	Not Available	Not Available	Not Available	Not Available	Not Available
Trade Advice (90 Days Macroaxis Advice)	Strong Sell	Strong Sell	Cautious Hold	Strong Sell	Strong Sell	Strong Buy	Strong Sell
Net Asset	56.23 B	3.11 B	9.94 B	1.09 B	24.77 B	1.78 B	58.04 B
Profit Margin	0.05 %	0.23 %	0.08 %	(0.03) %	(0.01) %	(0.37) %	0.18 %
EBITDA	4.28 B	545.44 M	1.87 B	81.64 M	2.51 B	(82.73 M)	11.76 B
Operating Margin	0.09 %	0.32 %	0.12 %	(0.01) %	0.01 %	(0.30) %	0.25 %
Current Valuation	50.3 B	4.9 B	35.79 B	1.39 B	30.99 B	4.06 B	83.01 B
Price To Book	1.68 X	1.96 X	5.45 X	2.59 X	6.23 X	N/A	2.17 X
Retained Earnings	19.73 B	2.68 B	3.15 B	165.14 M	3.1 B	(2.7 B)	33.89 B
Beta	0.48	1.5	0.98	0.83	0.56	0.46	0.77
Number Of Employees	1.33 K	106	257	107	3.74 K	191	5.49 K
Shares Outstanding	30.96 M	32.09 M	12.11 M	10.18 M	72.05 M	21.56 M	281.24 M
Cash Flow From Operations	4.39 B	678.67 M	161.02 M	62.9 M	2.27 B	23.04 M	(3.16 B)
Annual Yield	0.01 %	0.01 %	0 %	0.01 %	0.01 %	N/A	0.0008 %
Total Debt	13.48 B	326 K	325.46 M	228.42 M	7.39 B	2.39 B	12.62 B
Return On Equity	0.0945	0.14	0.23	0.0217	-0.0943	N/A	0.24
Return On Asset	0.042	0.0937	0.11	0.0207	0.008	-0.0532	0.11
Book Value Per Share	690.15 X	91.43 X	538.95 X	50.42 X	62.98 X	(55.29) X	126.38 X
Total Asset	56.23 B	3.11 B	9.94 B	1.09 B	24.77 B	1.78 B	58.04 B
Target Price	N/A	N/A	37.0	N/A	447.18	N/A	325.88
Shares Owned By Institutions	2.97 %	N/A	0.01 %	N/A	22.14 %	N/A	33.88 %
Market Capitalization	35.1 B	6.41 B	34.96 B	1.17 B	28.05 B	2.55 B	92.47 B
Price To Sales	0.99 X	3.44 X	2.15 X	1.46 X	0.48 X	4.83 X	2.09 X
Net Income	2.07 B	389.78 M	1.23 B	19.6 M	(263.9 M)	(197.28 M)	7.77 B
Earnings Per Share	62.64 X	13.36 X	110.82 X	(4.23) X	(6.98) X	(10.10) X	39.35 X
Shares Owned By Insiders	66.65 %	60.58 %	86.38 %	71.50 %	58.18 %	77.55 %	48.81 %
Revenue	32.94 B	1.91 B	14.87 B	828.56 M	55.06 B	504.21 M	44.43 B
Working Capital	(4.3 B)	1.86 B	3.23 B	71.72 M	(1.03 B)	(443.92 M)	13.87 B
Cash And Equivalents	1.11 B	N/A	N/A	10.98 M	1.26 B	(1 K)	N/A
Gross Profit	10.3 B	1.17 B	2.83 B	337.38 M	4.03 B	244.19 M	12.3 B
Day Typical Price	1185.7	194.02	2913.42	115.48	391.23	112.37	318.92
Accumulation Distribution	0.041	0.0567	0.032	0.0233	0.0212	0.13	0.0325
Market Facilitation Index	49.35	11.35	95.1	2.73	8.4	14.9	10.5
Daily Balance Of Power	0.8267	0.5877	(0.46)	0.0403	(0.1)	1.312081	0.6238
Period Momentum Indicator	40.8	6.67	(44.00)	0.11	(0.80)	19.55	6.55
Rate Of Daily Change	1.04	1.04	0.99	1.0	1.0	1.2	1.02
Day Median Price	1180.33	194.52	2922.3	115.87	392.2	109.89	317.75
Price Action Indicator	36.52	1.82	(48.65)	(1.11)	(3.30)	17.23	6.78
Relative Strength Index	45.95	48.92	41.89	48.78	33.58	73.85	53.94
Coefficient Of Variation	(14,903)	6828.34	(1,043)	7377.18	(471.02)	731.59	(4,059)
Mean Deviation	2.29	2.7	1.65	1.95	1.37	2.53	1.98
Jensen Alpha	(0.06)	0.0074	(0.25)	(0.05)	(0.39)	0.388	(0.08)
Total Risk Alpha	(0.60)	(0.55)	(0.55)	(0.49)	(0.70)	(0.09)	(0.46)
Sortino Ratio	N/A	(0.02)	N/A	(0.03)	N/A	0.2256	N/A
Downside Variance	N/A	9.17	N/A	6.41	N/A	3.54	N/A
Standard Deviation	3.57	3.77	2.12	3.35	1.86	4.06	2.48
Kurtosis	7.14	2.14	0.0234	18.8	0.463	12.89	0.6702
Potential Upside	5.48	6.42	3.6	3.85	2.45	5.0	3.86
Treynor Ratio	(0.14)	0.144	(0.79)	0.0497	4.53	0.4177	(1.75)
Maximum Drawdown	23.17	19.96	9.31	26.39	9.42	9.84	10.31
Variance	12.73	14.25	4.48	11.25	3.47	16.5	6.14
Market Risk Adjusted Performance	(0.13)	0.154	(0.78)	0.0597	4.54	0.4277	(1.74)
Risk Adjusted Performance	0.0027	0.0192	(0.07)	0.0181	(0.16)	0.1126	(0.01)
Skewness	1.94	1.12	0.5189	3.1	(0.47)	3.17	0.664
Semi Deviation	N/A	2.86	N/A	2.41	N/A	1.58	N/A
Information Ratio	(0.04)	(0.02)	(0.16)	(0.03)	(0.28)	0.1046	(0.08)
Value At Risk	(4.42)	(5.16)	(3.65)	(4.61)	(3.91)	(2.81)	(3.77)
Expected Short fall	N/A	(3.36)	N/A	(2.27)	N/A	(4.01)	N/A
Downside Deviation	N/A	3.03	N/A	2.53	N/A	1.88	N/A
Semi Variance	N/A	8.17	N/A	5.83	N/A	2.49	N/A

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.

	Macroaxis Index Invested over 90 shares	Go
	Baby Boomer Prospects Invested over 40 shares	Go
	Banking Invested over 40 shares	Go
	Social Domain Invested few shares	Go
	Manufacturing Invested over 30 shares	Go
	Impulse Invested over 100 shares	Go
	Dividend Beast Invested over 50 shares	Go
	Momentum Invested few shares	Go
	Warren Buffett Holdings Invested few shares	Go
	ESG Investing Invested few shares	Go

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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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.

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