Traffic Control Correlations

688015 Stock

25.25 0.48 1.94%

Current 90-days correlation between Traffic Control and Sino Medical Sciences is 0.27 (i.e., Modest diversification).A low or negative correlation between Traffic Control and other assets in a portfolio can meaningfully reduce drawdowns without proportionally reducing expected return.

Market Linkage for Traffic Control

Average diversification

Across the chosen horizon, 688015 and DJI show a correlation of 0.12 and fall into the Average diversification bucket. In portfolio terms, the overlap visualization shows how much shared movement remains after both positions are combined.

Correlation context here can be used to compare Traffic Control with related instruments. In jurisdictions with wash sale rules, substantially identical replacements can be restricted; this view is informational only.

Moving against Traffic Stock

0.87	601398	Industrial and Commercial	Pair Corr
0.58	601318	Ping An Insurance	Pair Corr
0.54	600030	CITIC Securities	Pair Corr
0.4	601658	Postal Savings Bank	Pair Corr
0.36	600941	China Mobile Limited	Pair Corr

Related Correlations Analysis

	688108	000612	301033	000516	688111	601061	300404	301087
688108		0.8	0.73	0.67	0.6	0.73	0.8	0.78	688108
000612	0.8		0.48	0.41	0.17	0.67	0.58	0.9	000612
301033	0.73	0.48		0.5	0.48	0.45	0.62	0.59	301033
000516	0.67	0.41	0.5		0.7	0.5	0.89	0.61	000516
688111	0.6	0.17	0.48	0.7		0.56	0.71	0.3	688111
601061	0.73	0.67	0.45	0.5	0.56		0.58	0.56	601061
300404	0.8	0.58	0.62	0.89	0.71	0.58		0.72	300404
301087	0.78	0.9	0.59	0.61	0.3	0.56	0.72		301087
	688108	000612	301033	000516	688111	601061	300404	301087

Risk-Adjusted Indicators

There is a big difference between Traffic Stock performing well and Traffic Control Company 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 Traffic Control'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
688108	2.37	0.31	0.14	0.30	2.04	-3.19	5.79	-3.77	25.33
000612	2.64	0.68	0.21	1.31	2.84	-3.01	6.30	-4.81	19.29
301033	1.94	0.12	0.06	0.25	2.09	-2.25	3.83	-3.94	24.92
000516	2.17	0.13	0.05	-0.34	2.44	-3.01	9.96	-3.21	20.04
688111	1.78	-0.12	0.00	-3.87	0.00	0.00	4.02	-3.26	15.65
601061	2.02	0.03	0.01	0.12	2.76	-2.05	4.46	-3.97	15.96
300404	1.67	0.06	0.04	-0.07	2.11	-2.06	2.23	-3.87	28.36
301087	1.84	0.57	0.27	-1.69	1.60	-2.06	4.14	-2.92	17.43

Be your own money manager

Optimization tools can help investors judge whether capital allocated to Traffic Control Technology is being used efficiently relative to other opportunities in the same equity universe. This is most useful when investors want to improve risk-adjusted return instead of simply owning more ideas at once.

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Traffic Control Corporate Management

Governance review matters for Traffic Control Technology because boards and executives shape oversight, strategic discipline, and how shareholder interests are represented. This becomes more valuable when investors want to compare oversight quality across firms that may otherwise look financially similar.

Weiwei Bi	Board Secretary	Profile
Guosheng Zhi	Deputy Manager	Profile
Zhiyu Wang	General Manager	Profile
Yang Zhang	Deputy Manager	Profile
Qing Huang	Secretary GM	Profile
Shuai Zhang	Head Institution	Profile

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