Compare Beijing to Gansu, Shanghai, Silkroad, Xizi, Shandong, Jiangsu

Comparing Beijing to Gansu, Shanghai, Silkroad, Xizi, Shandong, Jiangsu 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.

	002573	600307	600608	300556	002534	000498	600959
002573		0.9	0.74	0.85	0.94	0.97	0.95	002573
600307	0.9		0.75	0.69	0.87	0.89	0.91	600307
600608	0.74	0.75		0.65	0.59	0.67	0.84	600608
300556	0.85	0.69	0.65		0.75	0.77	0.89	300556
002534	0.94	0.87	0.59	0.75		0.95	0.83	002534
000498	0.97	0.89	0.67	0.77	0.95		0.9	000498
600959	0.95	0.91	0.84	0.89	0.83	0.9		600959
	002573	600307	600608	300556	002534	000498	600959

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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
002573	1.83	0.46	0.13	(3.98)	2.13	(2.12)	3.93	(3.41)	17.04
600307	2.70	0.93	0.19	(0.68)	2.63	(3.40)	9.56	(3.55)	19.98
600608	1.93	0.55	0.12	(0.80)	2.19	(2.05)	4.93	(4.91)	8.16
300556	3.42	0.82	0.14	(1.41)	4.12	(3.78)	7.00	(5.43)	31.43
002534	1.97	0.37	0.08	(0.66)	2.19	(2.34)	4.73	(3.48)	18.08
000498	1.95	0.41	0.11	(1.89)	2.21	(2.23)	5.05	(3.31)	16.34
600959	1.89	0.62	0.18	(1.46)	1.98	(2.15)	4.52	(2.72)	17.08

Cross Equities Net Income Analysis

Compare Beijing SPC Environment, Gansu Jiu Steel, and Shanghai Broadband Net Income Over Time

	2010	2011	2012	2013	2014	2015	2016	2017	2018	2019	2020	2021	2022	2023	2024
002573	80.2 M	102.7 M	104.5 M	180 M	270.6 M	507.3 M	744.2 M	651.7 M	524.9 M	379.9 M	210 M	568.2 M	446.4 M	127.4 M	121 M
600307	173.9 M	1.5 B	484.5 M	39.1 M	39.1 M	(7.4 B)	82.4 M	421.2 M	1.1 B	1.2 B	517.8 M	1.5 B	(2.5 B)	(1.1 B)	(997.5 M)
600608	21.4 M	16.5 M	26.2 M	35 M	35 M	35 M	(23.8 M)	62.3 M	(2.5 M)	4.4 M	2.3 M	1.6 M	4 M	(22 M)	(20.9 M)
300556	31.3 M	31.3 M	31.3 M	31.3 M	31.3 M	31.3 M	27.1 M	23.6 M	54.2 M	27.8 M	60.6 M	71.8 M	46.1 M	23 M	44.7 M
002534	203 M	328.6 M	338.8 M	69.6 M	70.6 M	(154.9 M)	191.5 M	417.3 M	244.1 M	366.1 M	515.5 M	420.3 M	203.9 M	54.6 M	51.9 M
000498	7.1 M	467 K	231.6 M	261.2 M	311.2 M	377 M	429.7 M	576.1 M	663.6 M	619.8 M	1.3 B	2.1 B	2.5 B	2.3 B	2.4 B
600959	589 M	589 M	589 M	690.9 M	777.9 M	774.2 M	874 M	783.5 M	624.4 M	331.1 M	168.6 M	315.1 M	326.9 M	340 M	439.7 M

Beijing SPC Environment, Gansu Jiu Steel, and Shanghai Broadband 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

	002573	600307	600608	300556	002534	000498	600959
	0.67 4.51 Beijing	2.59 1.88 Gansu	4.94 3.66 Shanghai	3.12 25.77 Silkroad	0.25 11.89 Xizi	1.25 6.48 Shandong	1.24 3.99 Jiangsu
Market Volatility (90 Days Market Risk)	Moderately volatile	Dangerous	Relatively risky	Somewhat reliable	Somewhat reliable	Slightly risky	Moderately volatile
Market Performance (90 Days Performance)	Solid	Solid	Solid	Solid	Good	Good	Solid
Odds of Financial Distress (Probability Of Bankruptcy)	Below Average	Below Average	Low	Low	Low	Very Small	Low
Current Valuation (Equity Enterprise Value)	Over Valued	Over Valued	Over Valued	Over Valued	Over Valued	Over 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	Strong Sell	Strong Sell	Strong Sell	Strong Sell	Sell
Net Asset	24.56 B	44.36 B	156.54 M	2.19 B	15.95 B	139.54 B	37.24 B
Profit Margin	(0.01) %	(0.08) %	(0.10) %	(0.21) %	0.06 %	0.03 %	0.04 %
EBITDA	1.22 B	(762.22 M)	503.05 K	(221.32 M)	471.7 M	4.7 B	1 B
Operating Margin	0.06 %	(0.08) %	(0) %	(0.86) %	0.08 %	0.07 %	(0.04) %
Current Valuation	17.22 B	30.14 B	1.26 B	3.25 B	7.59 B	38.22 B	16.14 B
Price To Book	1.00 X	1.41 X	28.97 X	4.40 X	2.07 X	0.43 X	0.90 X
Retained Earnings	3.2 B	(4.31 B)	(780.82 M)	320.14 M	1.8 B	10.31 B	3.3 B
Beta	0.42	0.46	0.51	0.57	0.23	0.13	0.37
Number Of Employees	6.56 K	16.64 K	23	2.36 K	2.45 K	29.89 K	17.09 K
Shares Outstanding	1.42 B	6.26 B	328.86 M	121.48 M	739.2 M	1.56 B	5 B
Cash Flow From Operations	876.95 M	503.55 M	(21.47 M)	15.55 M	307.78 M	(3.96 B)	2.41 B
Annual Yield	0.02 %	N/A	N/A	0 %	0.01 %	0.03 %	N/A
Total Debt	2.92 B	8.02 B	12.6 M	127.1 M	545.33 M	7.89 B	163.58 M
Return On Equity	0.0029	-0.28	-0.42	-0.24	0.11	0.0981	0.0161
Return On Asset	0.01	-0.0272	0.0021	-0.0734	0.0119	0.0191	-0.0055
Book Value Per Share	4.43 X	1.32 X	0.13 X	6.05 X	5.71 X	9.60 X	4.47 X
Total Asset	24.56 B	44.36 B	156.54 M	2.19 B	15.95 B	139.54 B	37.24 B
Target Price	14.2	6.9	N/A	56.8	16.0	9.73	N/A
Last Dividend Paid	0.1	N/A	N/A	0.035	0.1	0.2	0.02
Shares Owned By Institutions	1.26 %	0.40 %	N/A	2.25 %	2.88 %	4.00 %	3.47 %
Market Capitalization	6.37 B	12.15 B	1.2 B	3.16 B	8.83 B	10.02 B	19.7 B
Price To Sales	0.75 X	0.35 X	5.58 X	3.43 X	1.20 X	0.14 X	2.51 X
Net Income	127.37 M	(1.05 B)	(22.02 M)	23.02 M	54.58 M	2.29 B	340.05 M
Earnings Per Share	(0.05) X	(0.42) X	(0.07) X	(1.63) X	0.55 X	0.98 X	0.06 X
Shares Owned By Insiders	62.85 %	59.93 %	30.49 %	19.95 %	78.55 %	64.90 %	52.46 %
Revenue	8.61 B	39.45 B	171.03 M	1.43 B	8.08 B	73.02 B	7.6 B
Working Capital	929.67 M	(13.68 B)	49.39 M	744.34 M	1.44 B	12.07 B	(1.93 B)
Gross Profit	1.84 B	1.11 B	17.28 M	374.27 M	1.4 B	7.93 B	2.05 B
Day Typical Price	4.49	1.89	3.66	26.52	11.89	6.45	3.98
Accumulation Distribution	168124.0	4.2 M	N/A	3.7 M	57590.21	521550.0	2.8 M
Daily Balance Of Power	0.4286	(0.83)	(9,223,372,036,855)	(0.26)	(0.14)	0.4444	(0.45)
Period Momentum Indicator	0.03	(0.05)	(0.19)	(0.83)	(0.03)	0.08	(0.05)
Rate Of Daily Change	1.01	0.97	0.95	0.97	1.0	1.01	0.99
Day Median Price	4.47	1.89	3.66	26.9	11.89	6.44	3.98
Price Action Indicator	0.05	(0.04)	(0.1)	(1.55)	(0.01)	0.08	(0.01)
Coefficient Of Variation	557.84	476.32	530.82	629.34	874.71	664.86	459.48
Mean Deviation	1.83	2.7	1.93	3.42	1.97	1.95	1.89
Jensen Alpha	0.4578	0.9307	0.5489	0.8237	0.3656	0.4143	0.6225
Total Risk Alpha	0.0427	0.1879	0.0678	(0.01)	(0.13)	(0.03)	0.1496
Sortino Ratio	0.1255	0.1855	0.1209	0.1411	0.0782	0.1056	0.1795
Downside Variance	6.93	13.54	9.14	21.05	6.37	6.83	6.65
Standard Deviation	2.54	3.84	2.6	4.86	2.82	2.66	2.7
Kurtosis	2.61	1.38	(0)	3.13	2.65	1.88	3.6
Potential Upside	3.93	9.56	4.93	7.0	4.73	5.05	4.52
Treynor Ratio	(3.98)	(0.68)	(0.80)	(1.41)	(0.66)	(1.89)	(1.46)
Maximum Drawdown	17.04	19.98	8.16	31.43	18.08	16.34	17.08
Variance	6.44	14.78	6.77	23.6	7.93	7.09	7.28
Market Risk Adjusted Performance	(3.97)	(0.67)	(0.79)	(1.40)	(0.65)	(1.88)	(1.45)
Risk Adjusted Performance	0.1366	0.1598	0.1433	0.1233	0.09	0.1159	0.1645
Skewness	(0.07)	0.3087	(0.18)	0.2114	0.5298	(0.24)	0.304
Semi Deviation	2.13	2.63	2.19	4.12	2.19	2.21	1.98
Information Ratio	0.1302	0.1776	0.1405	0.1333	0.0701	0.1037	0.1715
Value At Risk	(3.41)	(3.55)	(4.91)	(5.43)	(3.48)	(3.31)	(2.72)
Expected Short fall	(2.12)	(3.40)	(2.05)	(3.78)	(2.34)	(2.23)	(2.15)
Downside Deviation	2.63	3.68	3.02	4.59	2.52	2.61	2.58
Semi Variance	4.52	6.91	4.78	16.98	4.8	4.87	3.93

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.

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Build portfolios using Macroaxis predefined set of investing ideas. Many of Macroaxis investing ideas can easily outperform a given market. Ideas can also be optimized per your risk profile before portfolio origination is invoked. Macroaxis thematic optimization helps investors identify companies most likely to benefit from changes or shifts in various micro-economic or local macro-level trends. Originating optimal thematic portfolios involves aligning investors' personal views, ideas, and beliefs with their actual investments.

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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 Insider Screener module to find insiders across different sectors to evaluate their impact on performance.

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