Industrial Competitors

IEEC Stock

0.26 0.01 3.70%

Analyzing Industrial Engineering 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 Industrial Engineering to its intrinsic valuation because they are able to contrast its competitors on a relative basis. Check out Risk vs Return Analysis to better understand how to build diversified portfolios. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in board of governors.

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 Industrial Engineering competition on your existing holdings.

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Industrial Engineering Competition Correlation Matrix

Typically, diversification allows investors to combine positions across different asset classes to reduce overall portfolio risk. Correlation between Industrial Engineering and its competitors represents the degree of relationship between the price movements of corresponding stocks. A correlation of about +1.0 implies that the price of Industrial 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 Industrial Engineering does not affect the price movement of the other competitor.

	PACH	REAC	EIUD	MOSC	GTHE	QNBE	ATLC	ORAS	EGAS	OIH
PACH		0.0	0.0	0.0	-1.0	0.0	0.0	0.0	0.0	0.0	PACH
REAC	0.0		0.59	0.6	0.0	0.76	0.58	0.72	0.84	0.2	REAC
EIUD	0.0	0.59		0.52	0.0	0.83	0.82	0.58	0.49	0.74	EIUD
MOSC	0.0	0.6	0.52		0.0	0.69	0.42	0.75	0.5	0.15	MOSC
GTHE	-1.0	0.0	0.0	0.0		0.0	0.0	0.0	0.0	0.0	GTHE
QNBE	0.0	0.76	0.83	0.69	0.0		0.67	0.81	0.71	0.47	QNBE
ATLC	0.0	0.58	0.82	0.42	0.0	0.67		0.51	0.36	0.76	ATLC
ORAS	0.0	0.72	0.58	0.75	0.0	0.81	0.51		0.63	0.17	ORAS
EGAS	0.0	0.84	0.49	0.5	0.0	0.71	0.36	0.63		0.05	EGAS
OIH	0.0	0.2	0.74	0.15	0.0	0.47	0.76	0.17	0.05		OIH
	PACH	REAC	EIUD	MOSC	GTHE	QNBE	ATLC	ORAS	EGAS	OIH

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High positive correlations

EGAS	+ 0.84	REAC
QNBE	+ 0.83	EIUD
ATLC	+ 0.82	EIUD
ORAS	+ 0.81	QNBE
QNBE	+ 0.76	REAC
OIH	+ 0.76	ATLC

High negative correlations

GTHE	- 1.0	PACH
OIH	- 0.0	GTHE
EGAS	- 0.0	GTHE
ORAS	- 0.0	GTHE
ATLC	- 0.0	GTHE
QNBE	- 0.0	GTHE

Risk-Adjusted Indicators

There is a big difference between Industrial Stock performing well and Industrial Engineering 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 Industrial Engineering'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
PACH	0.00	0.00	0.00	0.00	0.00	0.00	0.00	0.00	0.00
REAC	2.42	0.69	0.16	(3.47)	1.84	(4.10)	8.70	(4.27)	26.73
EIUD	1.85	0.35	0.05	3.20	1.84	(4.73)	5.00	(4.76)	10.26
MOSC	0.48	0.07	0.00	0.60	0.00	0.00	0.05	(0.20)	12.57
GTHE	0.00	0.00	0.00	0.00	0.00	0.00	0.00	0.00	0.00
QNBE	1.35	0.33	0.18	1.89	0.98	(1.71)	3.90	(1.61)	12.86
ATLC	1.62	0.25	0.11	0.72	1.38	(2.03)	4.57	(2.53)	9.69
ORAS	1.58	0.24	0.06	(0.70)	1.39	(2.00)	3.79	(2.37)	15.06
EGAS	3.20	0.70	0.21	0.54	3.06	(3.97)	8.96	(5.00)	39.94
OIH	1.34	0.12	0.01	0.50	1.32	(3.33)	4.44	(2.50)	10.22

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All Fundamental Data

Industrial Engineering Competitive Analysis

The better you understand Industrial Engineering competitors, the better chance you have of utilizing it as a position in your portfolios. From an individual investor's perspective, Industrial Engineering'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 Industrial Engineering'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

	IEEC	PACH	REAC	EIUD	MOSC	GTHE	QNBE	ATLC	ORAS	EGAS
	3.70 0.26 Industrial	0.00 39.80 Paint	4.02 6.98 Reacap	3.85 0.25 Egyptians	3.50 62.10 Misr	0.00 4.90 Global	1.70 34.70 Qatar	0.68 4.45 ATLC	0.36 294.93 Orascom	0.12 41.87 Natural
Market Volatility (90 Days Market Risk)	Out of control	Very steady	Moderately volatile	Out of control	Very steady	Very steady	Very steady	Slightly risky	Very steady	Not too volatile
Market Performance (90 Days Performance)	Very Weak	Very Weak	Good	Good	Modest	Very Weak	Solid	OK	Modest	Good
Odds of Financial Distress (Probability Of Bankruptcy)	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown
Current Valuation (Equity Enterprise Value)	Over Valued	Fairly Valued	Over Valued	Over Valued	Fairly Valued	Fairly Valued	Under Valued	Over Valued	Over Valued	Fairly 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	Hold	Strong Sell	Cautious Hold	Hold	Hold	Strong Buy	Strong Hold	Strong Sell	Buy
Day Typical Price	0.26	39.8	6.9	0.25	62.03	4.9	34.28	4.43	293.7	41.83
Accumulation Distribution	0.037	N/A	72798.57	0.0385	340.64	N/A	14056.93	16798.39	6279.48	1069.78
Market Facilitation Index	0.01	N/A	0.0	0.01	7.0E-4	N/A	0.0	N/A	0.0	0.0
Daily Balance Of Power	(1.00)	0.0	0.403	(1.00)	0.5263	0.0	0.3314	0.3	(0.18)	0.1351
Period Momentum Indicator	(0.01)	N/A	0.27	(0.01)	2.1	N/A	0.58	0.03	(1.07)	0.05
Rate Of Daily Change	0.96	1.0	1.04	0.96	1.03	1.0	1.02	1.01	1.0	1.0
Day Median Price	0.27	39.8	6.87	0.26	62.0	4.9	34.08	4.42	293.08	41.82
Price Action Indicator	(0.01)	N/A	0.25	(0.01)	1.16	N/A	0.92	0.045	1.31	0.08
Coefficient Of Variation	(10,097)	N/A	577.03	735.3	1469.7	N/A	561.85	678.62	1081.4	554.04
Mean Deviation	1.58	N/A	2.42	1.85	0.4796	N/A	1.35	1.62	1.58	3.2
Jensen Alpha	(0.01)	N/A	0.687	0.353	0.072	N/A	0.3286	0.2515	0.2414	0.7029
Total Risk Alpha	(0.42)	N/A	0.0785	(0.05)	(0.13)	N/A	0.0455	(0.02)	(0.15)	0.1401
Sortino Ratio	N/A	N/A	0.1638	0.0513	N/A	N/A	0.1785	0.1084	0.0584	0.2142
Downside Variance	N/A	N/A	11.26	23.94	N/A	N/A	1.73	2.89	2.48	13.25
Standard Deviation	2.54	N/A	3.89	2.77	1.46	N/A	2.02	2.1	2.35	5.01
Kurtosis	0.1414	N/A	8.79	0.0076	24.65	N/A	4.11	0.1586	11.16	8.3
Potential Upside	4.0	N/A	8.7	5.0	0.05	N/A	3.9	4.57	3.79	8.96
Treynor Ratio	0.1767	N/A	(3.47)	3.2	0.6009	N/A	1.89	0.7167	(0.70)	0.5372
Maximum Drawdown	10.99	N/A	26.73	10.26	12.57	N/A	12.86	9.69	15.06	39.94
Variance	6.47	N/A	15.17	7.65	2.12	N/A	4.09	4.42	5.53	25.15
Market Risk Adjusted Performance	0.1867	N/A	(3.46)	3.21	0.6109	N/A	1.9	0.7267	(0.69)	0.5472
Risk Adjusted Performance	(0.0006)	N/A	0.1408	0.1114	0.0569	N/A	0.1426	0.1193	0.0776	0.1468
Skewness	(0.19)	N/A	2.18	0.0406	3.7	N/A	1.48	0.6783	2.4	1.47
Semi Deviation	N/A	N/A	1.84	1.84	N/A	N/A	0.9796	1.38	1.39	3.06
Information Ratio	(0.06)	N/A	0.1411	0.0907	(0.02)	N/A	0.116	0.0877	0.0392	0.1555
Value At Risk	(4.00)	N/A	(4.27)	(4.76)	(0.20)	N/A	(1.61)	(2.53)	(2.37)	(5.00)
Expected Short fall	N/A	N/A	(4.10)	(4.73)	N/A	N/A	(1.71)	(2.03)	(2.00)	(3.97)
Downside Deviation	N/A	N/A	3.36	4.89	N/A	N/A	1.31	1.7	1.58	3.64
Semi Variance	N/A	N/A	3.4	3.37	N/A	N/A	0.9595	1.9	1.94	9.38

Industrial Engineering Competition Performance Charts

Five steps to successful analysis of Industrial Engineering Competition

Industrial Engineering'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 Industrial Engineering in relation to its competition. Industrial Engineering's competition analysis typically involves several steps, including:

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