Compare GKHT to Beijing, Luolai, Innovative, Qumei, Guangzhou, Markor

Comparing GKHT to Beijing, Luolai, Innovative, Qumei, Guangzhou, Markor 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.

	301370	600055	002293	002173	603818	603043	600337
301370		0.62	0.54	0.61	0.68	0.72	0.64	301370
600055	0.62		0.88	0.71	0.84	0.69	0.78	600055
002293	0.54	0.88		0.65	0.86	0.75	0.82	002293
002173	0.61	0.71	0.65		0.83	0.79	0.83	002173
603818	0.68	0.84	0.86	0.83		0.85	0.98	603818
603043	0.72	0.69	0.75	0.79	0.85		0.87	603043
600337	0.64	0.78	0.82	0.83	0.98	0.87		600337
	301370	600055	002293	002173	603818	603043	600337

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Backtest Portfolio

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
301370	2.53	0.38	0.09	3.70	3.55	(2.40)	4.41	(5.36)	27.19
600055	2.39	0.41	0.15	1.16	2.46	(2.79)	4.77	(4.44)	18.14
002293	2.02	0.44	0.17	1.39	2.14	(2.39)	4.87	(3.09)	15.56
002173	3.46	0.68	0.13	(0.80)	4.54	(3.50)	10.03	(8.87)	20.05
603818	3.04	0.51	0.12	1.60	3.43	(3.28)	6.57	(5.87)	18.58
603043	1.94	0.39	0.17	0.88	1.85	(2.60)	4.51	(3.00)	18.46
600337	3.71	0.77	0.15	8.88	4.13	(3.96)	10.04	(8.07)	20.22

Cross Equities Net Income Analysis

Compare GKHT Medical Technology, Beijing Wandong Medical, and Luolai Home Textile Net Income Over Time

	2010	2011	2012	2013	2014	2015	2016	2017	2018	2019	2020	2021	2022	2023	2024
600055	31.1 M	39.9 M	32.3 M	43.6 M	25.7 M	40.3 M	71.5 M	109.1 M	153.3 M	168.9 M	220.7 M	183.2 M	175.4 M	188.5 M	198 M
002293	27.8 M	374 M	382.1 M	332.2 M	398.1 M	410.1 M	317.3 M	427.9 M	534.5 M	546.1 M	585 M	713.2 M	580.8 M	572.4 M	393.7 M
002173	17.2 M	30 M	38.2 M	23.7 M	(65.3 M)	(65.3 M)	114.7 M	140.7 M	29.7 M	(1.1 B)	(314.5 M)	(105.2 M)	(73.7 M)	(34.3 M)	(36 M)
603818	88.2 M	88.2 M	88.2 M	113.6 M	100.5 M	116.9 M	185 M	245.7 M	(59.1 M)	82.2 M	103.9 M	177.9 M	37 M	(304.2 M)	(289 M)
603043	266.7 M	266.7 M	266.7 M	266.7 M	266.7 M	266.7 M	266.7 M	340.4 M	383.9 M	384.1 M	463.6 M	557.6 M	520.4 M	550.5 M	476.7 M
600337	37.2 M	196.4 M	20.7 M	172 M	233.6 M	300.6 M	330.8 M	365.4 M	451.2 M	463.6 M	306.4 M	229 M	(297.7 M)	(463.1 M)	(440 M)

GKHT Medical Technology, Beijing Wandong Medical, and Luolai Home Textile 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

	301370	600055	002293	002173	603818	603043	600337
	1.25 11.30 GKHT	0.91 15.53 Beijing	0.13 7.96 Luolai	2.25 9.08 Innovative	2.11 2.90 Qumei	0.76 16.96 Guangzhou	2.63 1.95 Markor
Market Volatility (90 Days Market Risk)	Somewhat reliable	Not too volatile	Somewhat reliable	Slightly risky	Risky	Not too volatile	Dangerous
Market Performance (90 Days Performance)	Very Weak	Weak	Insignificant	Modest	Very Weak	Very Weak	Weak
Odds of Financial Distress (Probability Of Bankruptcy)	Low	Low	Low	Low	Below Average	Low	Average
Current Valuation (Equity Enterprise Value)	Over Valued	Fairly Valued	Over Valued	Over Valued	Under 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 Hold	Sell	Strong Sell	Cautious Hold	Strong Buy	Strong Sell
Net Asset	N/A	5.4 B	6.8 B	2.28 B	6.96 B	6.56 B	9.66 B
Profit Margin	0.02 %	0.13 %	0.09 %	(0.06) %	(0.07) %	0.1 %	(0.19) %
EBITDA	327.7 M	103.4 M	1.01 B	33.94 M	174.3 M	709.82 M	(572.12 M)
Operating Margin	0.03 %	0.06 %	0.19 %	(0.08) %	0.04 %	0.21 %	(0.19) %
Current Valuation	5.72 B	7.56 B	5.39 B	3.53 B	4.25 B	9.26 B	6.35 B
Price To Book	2.17 X	2.30 X	1.66 X	2.17 X	0.91 X	2.52 X	0.89 X
Retained Earnings	N/A	1.01 B	2.08 B	(1.3 B)	661.56 M	2.25 B	1.57 B
Beta	N/A	-0.059	0.44	0.64	0.69	0.64	0.66
Number Of Employees	1.12 K	1.06 K	3.79 K	N/A	3.72 K	5.77 K	10.17 K
Shares Outstanding	470.6 M	703.06 M	830.98 M	441.28 M	688.86 M	568.77 M	1.44 B
Cash Flow From Operations	N/A	208.22 M	935.56 M	11.03 M	773.09 M	1.04 B	435.9 M
Annual Yield	0.01 %	N/A	0.07 %	N/A	N/A	N/A	N/A
Total Debt	N/A	575.7 M	1.12 B	30.17 M	298.84 M	483.24 M	1.16 B
Return On Equity	0.0793	0.0386	0.1	-0.0256	-0.11	0.14	-0.18
Return On Asset	0.0259	0.0096	0.0413	-0.0147	-0.0045	0.0481	-0.0456
Book Value Per Share	5.24 X	6.74 X	4.80 X	4.17 X	3.18 X	6.74 X	2.10 X
Total Asset	N/A	5.4 B	6.8 B	2.28 B	6.96 B	6.56 B	9.66 B
Last Dividend Paid	0.12	0.13	0.6	N/A	N/A	0.48	N/A
Target Price	N/A	14.31	8.13	N/A	7.68	18.29	6.9
Shares Owned By Institutions	14.66 %	3.99 %	5.84 %	1.64 %	8.41 %	4.79 %	18.71 %
Market Capitalization	5.22 B	10.92 B	6.61 B	4.01 B	2 B	9.65 B	2.8 B
Price To Earnings To Growth	N/A	N/A	0.37 X	N/A	N/A	N/A	N/A
Price To Sales	0.70 X	7.67 X	1.39 X	4.95 X	0.51 X	1.86 X	0.81 X
Net Income	N/A	188.54 M	570.9 M	(34.29 M)	(304.18 M)	550.48 M	(463.11 M)
Earnings Per Share	0.35 X	0.26 X	0.50 X	(0.11) X	(0.38) X	0.89 X	(0.43) X
Shares Owned By Insiders	60.11 %	52.02 %	54.85 %	42.32 %	47.06 %	72.01 %	39.46 %
Revenue	7.43 B	1.24 B	5.32 B	805.59 M	4.03 B	4.9 B	4.18 B
Working Capital	N/A	3.88 B	2.09 B	407.63 M	648.34 M	22.97 M	48.95 M
Gross Profit	N/A	491.33 M	2.44 B	46.16 M	1.82 B	4.11 B	1.88 B
Day Typical Price	11.26	15.48	7.93	8.97	2.88	16.99	1.93
Accumulation Distribution	0.0272	0.0249	0.0262	0.0766	0.0375	0.0152	0.0653
Market Facilitation Index	0.31	0.39	0.21	0.71	0.11	0.26	0.13
Daily Balance Of Power	0.4516	0.359	0.0476	0.2817	0.5455	(0.50)	0.3846
Period Momentum Indicator	0.14	0.14	0.01	0.2	0.06	(0.13)	0.05
Rate Of Daily Change	1.01	1.01	1.0	1.02	1.02	0.99	1.03
Day Median Price	11.24	15.46	7.91	8.91	2.88	17.01	1.93
Price Action Indicator	0.14	0.14	0.05	0.26	0.055	(0.11)	0.05
Coefficient Of Variation	957.44	721.12	592.39	694.1	750.49	682.1	620.48
Mean Deviation	2.53	2.39	2.02	3.46	3.04	1.94	3.71
Jensen Alpha	0.3802	0.4116	0.4405	0.6777	0.5062	0.3863	0.766
Total Risk Alpha	0.2779	0.3333	0.3722	0.53	0.404	0.3191	0.6335
Sortino Ratio	0.089	0.1469	0.1685	0.1256	0.1225	0.1711	0.1531
Downside Variance	16.4	7.32	6.38	25.74	16.08	4.78	23.71
Standard Deviation	3.76	3.1	2.71	4.65	3.93	2.77	4.83
Kurtosis	4.79	0.86	1.19	0.3264	0.2166	3.6	(0.01)
Potential Upside	4.41	4.77	4.87	10.03	6.57	4.51	10.04
Treynor Ratio	3.7	1.16	1.39	(0.80)	1.6	0.8845	8.88
Maximum Drawdown	27.19	18.14	15.56	20.05	18.58	18.46	20.22
Variance	14.12	9.6	7.35	21.58	15.42	7.68	23.3
Market Risk Adjusted Performance	3.71	1.17	1.4	(0.79)	1.61	0.8945	8.89
Risk Adjusted Performance	0.0911	0.118	0.1416	0.1231	0.1142	0.124	0.1368
Skewness	0.4323	0.1727	0.0469	(0.25)	(0.12)	0.7442	0.0352
Semi Deviation	3.55	2.46	2.14	4.54	3.43	1.85	4.13
Information Ratio	0.0959	0.1283	0.1569	0.1371	0.125	0.135	0.1545
Value At Risk	(5.36)	(4.44)	(3.09)	(8.87)	(5.87)	(3.00)	(8.07)
Expected Short fall	(2.40)	(2.79)	(2.39)	(3.50)	(3.28)	(2.60)	(3.96)
Downside Deviation	4.05	2.71	2.52	5.07	4.01	2.19	4.87
Semi Variance	12.61	6.04	4.59	20.64	11.77	3.42	17.02

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.

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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 Aroon Oscillator module to analyze current equity momentum using Aroon Oscillator and other momentum ratios.

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