Compare Shanghai to Huaxia, Anhui, Western, Ningbo, Chengtun, CICC

Comparing Shanghai to Huaxia, Anhui, Western, Ningbo, Chengtun, CICC 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.

	605128	508077	301217	002149	600982	600711	508058
605128		0.05	0.75	0.74	0.54	0.77	0.24	605128
508077	0.05		-0.14	0.18	0.62	-0.24	0.95	508077
301217	0.75	-0.14		0.72	0.33	0.78	-0.04	301217
002149	0.74	0.18	0.72		0.64	0.8	0.37	002149
600982	0.54	0.62	0.33	0.64		0.34	0.74	600982
600711	0.77	-0.24	0.78	0.8	0.34		-0.01	600711
508058	0.24	0.95	-0.04	0.37	0.74	-0.01		508058
	605128	508077	301217	002149	600982	600711	508058

Click cells to compare fundamentals

Check Volatility

Backtest Portfolio

High positive correlations

508058	+ 0.95	508077
600711	+ 0.8	002149
600711	+ 0.78	301217
600711	+ 0.77	605128
301217	+ 0.75	605128
002149	+ 0.74	605128

High negative correlations

600711	- 0.24	508077
301217	- 0.14	508077
508058	- 0.04	301217
508058	- 0.01	600711

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
605128	2.43	0.63	0.27	5.63	1.88	(2.94)	6.76	(3.36)	14.44
508077	0.82	0.11	0.09	0.34	0.70	(1.22)	2.22	(1.40)	6.13
301217	2.52	0.45	0.14	1.02	2.71	(2.96)	7.01	(4.44)	23.61
002149	2.54	0.59	0.21	(0.95)	2.19	(2.92)	6.29	(3.47)	15.58
600982	2.13	0.46	0.11	(0.34)	3.31	(2.23)	8.01	(6.22)	20.04
600711	1.77	0.48	0.21	(0.97)	1.62	(2.17)	5.06	(3.02)	10.07
508058	0.75	0.19	0.21	(24.28)	0.46	(1.08)	2.57	(1.24)	5.37

Cross Equities Net Income Analysis

Compare Shanghai Yanpu Metal, Huaxia Fund Management, and Anhui Tongguan Copper Net Income Over Time

	2010	2011	2012	2013	2014	2015	2016	2017	2018	2019	2020	2021	2022	2023	2024
605128	36.1 M	36.1 M	36.1 M	36.1 M	36.1 M	36.1 M	48.6 M	59.4 M	80.5 M	88.4 M	81.2 M	70.5 M	45.7 M	91.2 M	73.5 M
301217	96.9 M	96.9 M	96.9 M	96.9 M	96.9 M	96.9 M	96.9 M	96.9 M	96.9 M	96.9 M	71.7 M	367.5 M	265.1 M	17.2 M	16.3 M
002149	20.8 M	22.5 M	22.5 M	20.2 M	5.5 M	(132.3 M)	21.2 M	54.1 M	60.3 M	61.5 M	79.4 M	133.1 M	185.2 M	196.2 M	206 M
600982	21.8 M	85.9 M	68.7 M	142.9 M	152.5 M	92 M	84 M	96 M	154.5 M	119.2 M	252.6 M	473.6 M	363.7 M	407.4 M	427.8 M
600711	588 K	27.3 M	15.5 M	106.1 M	150.2 M	138.5 M	188.6 M	610.3 M	420.3 M	319.5 M	59.1 M	1 B	(95.5 M)	264.7 M	168.5 M

Shanghai Yanpu Metal, Huaxia Fund Management, and Anhui Tongguan Copper 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

	605128	508077	301217	002149	600982	600711	508058
	1.21 37.75 Shanghai	0.35 2.86 Huaxia	7.09 11.33 Anhui	2.51 18.00 Western	1.42 4.30 Ningbo	2.78 4.81 Chengtun	0.82 3.68 CICC
Market Volatility (90 Days Market Risk)	Very steady	Somewhat reliable	Somewhat reliable	Somewhat reliable	Relatively risky	Slightly risky	Somewhat reliable
Market Performance (90 Days Performance)	Insignificant	OK	Weak	Modest	Insignificant	OK	Solid
Odds of Financial Distress (Probability Of Bankruptcy)	Low	About Average	Low	Very Small	Average	Very Small	About Average
Current Valuation (Equity Enterprise Value)	Fairly Valued	Fairly Valued	Fairly Valued	Over Valued	Over Valued	Fairly 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)	Hold	Cautious Hold	Cautious Hold	Strong Sell	Strong Sell	Cautious Hold	Strong Sell
Net Asset	2.46 B	N/A	6.94 B	6.56 B	13.78 B	37.68 B	N/A
Profit Margin	0.07 %	N/A	(0.02) %	0.06 %	0.1 %	0.07 %	N/A
EBITDA	232.93 M	N/A	23.29 M	346.89 M	538.21 M	4.33 B	N/A
Operating Margin	0.11 %	N/A	(0.02) %	0.11 %	0.02 %	0.15 %	N/A
Current Valuation	5.24 B	N/A	8.86 B	9.86 B	11.07 B	21.13 B	N/A
Price To Book	3.90 X	N/A	1.73 X	2.98 X	1.13 X	0.97 X	N/A
Retained Earnings	473.75 M	N/A	532.02 M	377.71 M	1.58 B	2.04 B	N/A
Beta	0.71	N/A	1.08	0.75	0.24	0.99	N/A
Number Of Employees	1.25 K	N/A	1.61 K	1.91 K	1.5 K	9.19 K	N/A
Shares Outstanding	129.99 M	N/A	829.02 M	488.21 M	1.12 B	3.09 B	N/A
Cash Flow From Operations	53.39 M	N/A	(600.13 M)	237.3 M	253.34 M	488.54 M	N/A
Annual Yield	0.01 %	0.03 %	0.01 %	0.01 %	N/A	N/A	0.02 %
Total Debt	36.03 M	N/A	241.68 M	1.07 B	2.49 B	6.88 B	N/A
Return On Equity	0.11	N/A	-0.0162	0.0656	0.0802	0.11	N/A
Return On Asset	0.0433	N/A	-0.0127	0.0155	0.0081	0.0503	N/A
Book Value Per Share	10.62 X	N/A	6.56 X	6.04 X	3.79 X	4.89 X	N/A
Total Asset	2.46 B	N/A	6.94 B	6.56 B	13.78 B	37.68 B	N/A
Target Price	41.0	N/A	13.0	22.0	12.6	8.35	N/A
Last Dividend Paid	0.25	N/A	0.06	0.25	0.15	N/A	N/A
Shares Owned By Institutions	6.10 %	N/A	1.74 %	23.64 %	0.10 %	3.05 %	N/A
Market Capitalization	4.91 B	N/A	9.39 B	8.79 B	4.81 B	15.17 B	N/A
Price To Earnings To Growth	N/A	N/A	N/A	2.39 X	N/A	N/A	N/A
Price To Sales	2.44 X	N/A	2.28 X	2.85 X	1.32 X	0.64 X	N/A
Net Income	91.18 M	N/A	17.2 M	196.2 M	407.4 M	264.69 M	N/A
Earnings Per Share	0.87 X	N/A	(0.11) X	0.38 X	0.32 X	0.55 X	N/A
Shares Owned By Insiders	54.09 %	N/A	76.75 %	35.24 %	57.71 %	19.59 %	N/A
Revenue	1.52 B	N/A	3.78 B	3.23 B	5.39 B	24.46 B	N/A
Working Capital	431.34 M	N/A	2.93 B	1.88 B	(613.34 M)	2.45 B	N/A
Gross Profit	136.82 M	N/A	376.48 M	528.38 M	566.2 M	2.46 B	N/A
Day Typical Price	37.54	2.85	11.41	18.08	4.29	4.78	3.67
Accumulation Distribution	0.0245	0.0139	0.15	0.0501	0.0344	0.037	0.0216
Market Facilitation Index	0.93	0.04	1.89	0.93	0.15	0.18	0.08
Daily Balance Of Power	0.4839	0.25	0.3968	0.4731	0.4	0.7222	0.375
Period Momentum Indicator	0.45	0.01	0.75	0.44	0.06	0.13	0.03
Rate Of Daily Change	1.01	1.0	1.07	1.03	1.01	1.03	1.01
Day Median Price	37.44	2.85	11.45	18.11	4.29	4.77	3.66
Price Action Indicator	0.54	0.015	0.26	0.11	0.045	0.1	0.035
Coefficient Of Variation	498.04	923.14	758.25	541.34	770.38	499.79	571.65
Mean Deviation	2.43	0.8241	2.52	2.54	2.13	1.77	0.7469
Jensen Alpha	0.6346	0.1106	0.4497	0.5925	0.4648	0.4767	0.1896
Total Risk Alpha	0.5474	0.0852	0.3606	0.4902	0.3405	0.3999	0.1577
Sortino Ratio	0.2694	0.0904	0.1384	0.2061	0.1091	0.2118	0.2086
Downside Variance	5.21	1.13	9.99	7.29	14.4	4.39	0.6424
Standard Deviation	3.22	1.18	3.56	3.19	3.44	2.38	1.14
Kurtosis	1.49	3.23	2.7	(0.22)	3.72	0.0386	5.61
Potential Upside	6.76	2.22	7.01	6.29	8.01	5.06	2.57
Treynor Ratio	5.63	0.3449	1.02	(0.95)	(0.34)	(0.97)	(24.28)
Maximum Drawdown	14.44	6.13	23.61	15.58	20.04	10.07	5.37
Variance	10.39	1.4	12.69	10.16	11.82	5.66	1.3
Market Risk Adjusted Performance	5.64	0.3549	1.03	(0.94)	(0.33)	(0.96)	(24.27)
Risk Adjusted Performance	0.1676	0.0896	0.1129	0.1548	0.1112	0.1662	0.1425
Skewness	1.11	1.37	0.4472	0.3214	(0.01)	0.2852	1.97
Semi Deviation	1.88	0.6989	2.71	2.19	3.31	1.62	0.4603
Information Ratio	0.1908	0.0811	0.1228	0.1746	0.1204	0.1866	0.1467
Value At Risk	(3.36)	(1.40)	(4.44)	(3.47)	(6.22)	(3.02)	(1.24)
Expected Short fall	(2.94)	(1.22)	(2.96)	(2.92)	(2.23)	(2.17)	(1.08)
Downside Deviation	2.28	1.06	3.16	2.7	3.79	2.1	0.8015
Semi Variance	3.54	0.4885	7.36	4.79	10.97	2.62	0.2119

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 Invested over 40 shares	Go
	Hedge Favorites Invested over 50 shares	Go
	Driverless Cars Invested over 200 shares	Go
	Macroaxis Index Invested few shares	Go
	Social Domain Invested few shares	Go
	Impulse Invested few shares	Go
	Investing Invested few shares	Go
	Electronic Equipment Invested few shares	Go
	FinTech 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 Global Correlations module to find global opportunities by holding instruments from different markets.

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