CCB Principal Competition

510090 Etf

2.43 0.01 0.41%

CCB Principal SSE competes with Shenzhen MTC, Ming Yang, Loctek Ergonomic, Xiamen East, and Hi-Trend Tech(Shanghai)Co; as well as few others. Analyzing CCB Principal competition allows you to expand the diversification possibilities of your existing portfolios and to get a better perspective on locking in new positions. Investors sometimes prefer comparable analysis of CCB Principal to its intrinsic valuation because they are able to contrast its competitors on a relative basis. Check out Trending Equities to better understand how to build diversified portfolios. Also, note that the market value of any etf could be closely tied with the direction of predictive economic indicators such as signals in nation.

You can use the Comparative Equity Analysis module to analyze the advantages of investing in your portfolio's related equities across multiple sectors and thematic ideas. Please use the input box below to enter symbols for particular investments you would like to analyze. With the equity comparison module, you can estimate the relative effect of CCB Principal competition on your existing holdings.

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Please note, it is not enough to conduct a financial or market analysis of a single entity such as CCB Principal. Your research has to be compared to or analyzed against CCB Principal's peers to derive any actionable benefits. When done correctly, CCB Principal's competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy toward taking a position in CCB Principal SSE.

CCB Principal Competition Correlation Matrix

Typically, diversification allows investors to combine positions across different asset classes to reduce overall portfolio risk. Correlation between CCB Principal and its competitors represents the degree of relationship between the price movements of corresponding etfs. A correlation of about +1.0 implies that the price of CCB and its corresponding peer 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; in other words, the historical price movement of CCB Principal SSE does not affect the price movement of the other competitor.

	META	MSFT	UBER	F	T	A	CRM	JPM	MRK	XOM
META		0.26	0.55	0.07	0.53	0.05	0.64	0.28	-0.53	0.73	META
MSFT	0.26		0.21	0.17	0.16	-0.01	0.03	-0.11	0.13	-0.2	MSFT
UBER	0.55	0.21		-0.06	-0.09	0.27	-0.03	-0.16	0.09	0.35	UBER
F	0.07	0.17	-0.06		0.28	-0.41	0.5	0.7	-0.37	0.32	F
T	0.53	0.16	-0.09	0.28		-0.5	0.81	0.64	-0.79	0.39	T
A	0.05	-0.01	0.27	-0.41	-0.5		-0.46	-0.6	0.63	0.0	A
CRM	0.64	0.03	-0.03	0.5	0.81	-0.46		0.86	-0.91	0.65	CRM
JPM	0.28	-0.11	-0.16	0.7	0.64	-0.6	0.86		-0.83	0.47	JPM
MRK	-0.53	0.13	0.09	-0.37	-0.79	0.63	-0.91	-0.83		-0.56	MRK
XOM	0.73	-0.2	0.35	0.32	0.39	0.0	0.65	0.47	-0.56		XOM
	META	MSFT	UBER	F	T	A	CRM	JPM	MRK	XOM

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High positive correlations

JPM	+ 0.86	CRM
CRM	+ 0.81	T
XOM	+ 0.73	META
JPM	+ 0.7	F
XOM	+ 0.65	CRM
CRM	+ 0.64	META

High negative correlations

MRK	- 0.91	CRM
MRK	- 0.83	JPM
MRK	- 0.79	T
JPM	- 0.6	A
XOM	- 0.56	MRK
MRK	- 0.53	META

CCB Principal Competition Risk-Adjusted Indicators

There is a big difference between CCB Etf performing well and CCB Principal ETF 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 CCB Principal's 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
META	1.07	0.07	0.02	0.23	1.41	(1.14)	2.62	(3.15)	8.02
MSFT	0.90	(0.04)	(0.05)	0.07	1.50	(0.86)	2.09	(1.85)	8.19
UBER	1.61	(0.11)	(0.04)	0.02	2.32	(1.70)	2.69	(2.53)	20.10
F	1.42	(0.15)	(0.04)	0.03	2.23	(1.39)	2.53	(2.90)	11.21
T	0.92	0.26	0.12	(7.83)	0.86	(1.06)	2.56	(1.72)	6.47
A	1.17	(0.09)	0.00	(0.06)	0.00	0.00	2.71	(2.42)	9.02
CRM	1.31	0.23	0.18	0.34	1.08	(1.53)	3.18	(1.91)	9.98
JPM	1.12	(0.04)	0.05	0.11	1.38	(1.23)	2.05	(2.00)	15.87
MRK	0.91	(0.24)	0.00	(0.86)	0.00	0.00	2.00	(2.13)	4.89
XOM	1.00	(0.03)	(0.07)	0.06	1.31	(1.04)	2.10	(2.09)	5.74

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CCB Principal Competitive Analysis

The better you understand CCB Principal competitors, the better chance you have of utilizing it as a position in your portfolios. From an individual investor's perspective, CCB Principal's competitive analysis can cover a whole range of metrics. Some of these will be more critical depending on who you are as an investor and how you react to market volatility. However, if you are locking your investment sandscape to a long-term horizon, comparing the fundamental indicator across CCB Principal's competition over several years is one of the best ways to analyze its investment potential.

Better Than Average

Worse Than Peers

View Performance Chart

	510090	002429	601615	159681	300729	301028	688391	600742	002096	300243
	0.41 2.43 CCB	0.59 5.12 Shenzhen	2.75 14.20 Ming	3.16 0.98 159681	0.23 17.33 Loctek	1.66 11.00 Xiamen	1.51 32.85 Hi-Trend	1.07 9.43 Changchun	0.99 12.26 Hunan	0.09 11.00 Shandong
Market Volatility (90 Days Market Risk)	Unstable	Moderately volatile	Somewhat reliable	Abnormally volatile	Not too volatile	Somewhat reliable	Not too volatile	Somewhat reliable	Somewhat reliable	Slightly risky
Market Performance (90 Days Performance)	OK	Modest	Solid	Good	OK	OK	OK	Good	Weak	Good
Odds of Financial Distress (Probability Of Bankruptcy)	Unknown	Low	Low	Unknown	Low	Very Small	Very Small	Very Small	Very Small	Low
Current Valuation (Equity Enterprise Value)	Fairly Valued	Over Valued	Over Valued	Over Valued	Fairly 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	Not Available	Not Available	Not Available
Trade Advice (90 Days Macroaxis Advice)	Strong Sell	Strong Sell	Strong Sell	Strong Sell	Cautious Hold	Strong Sell	Strong Sell	Strong Sell	Strong Sell	Strong Sell
Net Asset		26.72 B	83.86 B		6.8 B	1.89 B	2.16 B	22.32 B	10.47 B	2.17 B
Profit Margin		0.0818	-0.002		0.0736	0.19	0.15	0.0247	0.0389	0.0289
EBITDA		2.64 B	427.11 M		427.51 M	258.39 M	25.75 M	997.03 M	442.67 M	139.22 M
Operating Margin		0.11	-0.0171		0.0734	0.25	0.0701	0.0328	0.093	0.0584
Current Valuation		24.88 B	37.59 B		7.82 B	3.8 B	2.67 B	480.75 M	13.04 B	3.44 B
Price To Book		1.48	1.19		1.87	2.91	2.0	0.83	2.09	2.39
Retained Earnings		8.77 B	7.79 B		1.38 B	452.13 M	366.93 M	5.16 B	1.78 B	568.36 M
Beta		0.81	0.56		0.74	0.53	1.02	0.57	0.5	0.93
Number Of Employees		13.68 K	13.5 K		3.08 K	855	270	14.7 K	5.04 K	905
Shares Outstanding		4.53 B	2.27 B		341.31 M	381.77 M	114.59 M	743.06 M	1.24 B	250.42 M
Cash Flow From Operations		2.35 B	(2.59 B)		819.5 M	275.8 M	45.84 M	2.12 B	721.93 M	96.2 M
Annual Yield		0.0194	N/A		0.0231	0.0182	0.0247	N/A	0.0167	0.0091
Total Debt		1.08 B	863.51 M		580.04 M	585.94 M	4.66 M	95.26 M	67.29 M	320.52 M
Return On Equity		0.12	-0.001		0.13	0.16	0.0436	0.0725	0.0542	0.0511
Return On Asset		0.0432	-0.0051		0.0264	0.0672	0.0048	0.0108	0.0309	0.0224
Book Value Per Share		3.47	12.57		10.08	3.77	15.67	11.37	5.87	4.6
Total Asset		26.72 B	83.86 B		6.8 B	1.89 B	2.16 B	22.32 B	10.47 B	2.17 B
Target Price		7.19	12.69		23.5	N/A	97.68	21.0	15.28	18.0
Last Dividend Paid		0.11	0.3		0.4	0.2	0.55	0.25	0.03	0.1
Shares Owned By Institutions		8.33	9.14		4.28	1.1	2.0	0.9	5.44	0.12
Market Capitalization		24.54 B	32.26 B		5.91 B	4.2 B	3.76 B	7.01 B	15.21 B	2.75 B
Price To Sales		1.12	1.2		1.14	3.76	6.53	0.35	2.71	1.43
Net Income		1.59 B	372.45 M		633.69 M	163.04 M	131.43 M	520.53 M	633.88 M	85.29 M
Earnings Per Share		0.37	-0.03		1.21	0.56	0.71	0.66	0.58	0.23
Shares Owned By Insiders		60.64	25.08		48.16	73.6	62.64	45.25	75.87	44.3
Revenue		17.17 B	27.86 B		3.9 B	958.59 M	603.05 M	20.77 B	8.43 B	1.78 B
Working Capital		7.79 B	5.81 B		1.22 B	351.75 M	1.27 B	2.73 B	3.37 B	505.82 M
Gross Profit		2.56 B	5.74 B		1.09 B	250.65 M	364.39 M	1.98 B	634.79 M	308.09 M
Day Typical Price	2.44	5.1	14.16	0.98	17.49	10.92	32.6	9.43	12.22	10.91
Accumulation Distribution	373.88	1.3 M	2.4 M	0.05	0.0341	0.0308	55617.68	222766.0	148068.0	0.0503
Market Facilitation Index	N/A	N/A	N/A	0.05	0.61	0.34	0.0	N/A	N/A	0.56
Daily Balance Of Power	0.5	0.2308	0.6129	0.6	0.0656	0.5294	0.3603	0.5882	0.3429	0.0179
Period Momentum Indicator	0.01	0.03	0.38	0.03	0.04	0.18	0.49	0.1	0.12	0.01
Rate Of Daily Change	1.0	1.01	1.03	1.03	1.0	1.02	1.02	1.01	1.01	1.0
Day Median Price	2.44	5.1	14.14	0.98	17.57	10.88	32.47	9.43	12.2	10.86
Price Action Indicator	(0.01)	0.04	0.25	0.02	(0.22)	0.21	0.63	0.055	0.13	0.14
Relative Strength Index	56.66	65.17	76.46	67.72	59.63	60.2	67.0	67.32	59.39	66.16
Coefficient Of Variation	1109.9	1487.79	455.49	693.4	755.46	694.43	846.75	647.21	1555.37	751.17
Mean Deviation	1.36	2.17	2.64	2.96	2.09	2.28	3.0	1.74	2.09	3.14
Jensen Alpha	0.1857	0.2382	0.7996	0.7156	0.4083	0.5342	0.571	0.4166	0.1375	0.7548
Total Risk Alpha	(0.19)	(0.30)	0.1765	(0.12)	(0.12)	(0.09)	(0.24)	(0.04)	(0.28)	(0.17)
Sortino Ratio	0.0325	0.0226	0.2298	0.1277	0.0902	0.118	0.104	0.0919	0.0128	0.1189
Downside Variance	5.36	7.13	7.76	20.59	10.24	8.99	16.66	5.74	6.43	18.18
Standard Deviation	2.36	2.95	3.54	4.97	3.22	3.41	4.76	2.32	2.64	4.84
Kurtosis	9.59	1.55	0.6942	7.74	6.53	4.58	5.76	0.7549	0.4469	4.92
Potential Upside	3.29	4.64	7.78	8.99	6.27	5.04	6.33	3.88	4.3	10.41
Treynor Ratio	1.5	(0.48)	(3.10)	(10.51)	6.59	(1.17)	(3.73)	(0.64)	0.9076	(0.67)
Maximum Drawdown	19.52	14.22	18.14	36.32	24.8	24.51	34.22	12.33	13.27	31.77
Variance	5.59	8.68	12.56	24.72	10.37	11.65	22.65	5.36	6.99	23.45
Market Risk Adjusted Performance	1.51	(0.47)	(3.09)	(10.50)	6.6	(1.16)	(3.72)	(0.63)	0.9176	(0.66)
Risk Adjusted Performance	0.0756	0.0588	0.1757	0.1187	0.1088	0.1178	0.0987	0.1248	0.0563	0.1102
Skewness	0.6246	0.6122	0.5206	1.53	(0.58)	0.6129	1.11	0.0364	0.2442	0.8302
Semi Deviation	1.82	2.47	2.31	3.01	2.84	2.48	3.57	1.95	2.38	3.62
Information Ratio	0.0319	0.0205	0.1807	0.1165	0.0896	0.1037	0.0892	0.0951	0.0123	0.1047
Value At Risk	(2.34)	(4.14)	(4.15)	(4.00)	(3.09)	(3.30)	(5.00)	(3.15)	(3.86)	(4.71)
Expected Short fall	(1.88)	(2.43)	(3.20)	(4.96)	(2.42)	(2.67)	(3.44)	(1.90)	(2.19)	(3.47)
Downside Deviation	2.32	2.67	2.79	4.54	3.2	3.0	4.08	2.4	2.53	4.26
Semi Variance	3.31	6.09	5.33	9.07	8.05	6.15	12.76	3.81	5.67	13.14

CCB Principal Competition Performance Charts

Five steps to successful analysis of CCB Principal Competition

CCB Principal's competitive analysis is the process of researching and evaluating its competitive landscape. It provides an understanding of the strengths, weaknesses, opportunities, and threats (SWOT) faced by CCB Principal SSE in relation to its competition. CCB Principal's competition analysis typically involves several steps, including:

Identifying the key players in the market: This involves identifying the major competitors of CCB Principal in the market, 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 CCB Principal's competitive landscape.
Identifying opportunities and threats: This involves using the information gathered during the analysis to identify opportunities and threats to CCB Principal SSE, 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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