Compare Galatasaray to Politeknik, Datagate, MEGA, Borlease, Koza, Cuhadaroglu

Comparing Galatasaray to Politeknik, Datagate, MEGA, Borlease, Koza, Cuhadaroglu 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.

	GSRAY	POLTK	DGATE	MEGMT	BORLS	KOZAA	CUSAN
GSRAY		0.65	-0.15	0.63	-0.33	0.57	0.52	GSRAY
POLTK	0.65		-0.13	0.88	-0.48	0.38	0.6	POLTK
DGATE	-0.15	-0.13		0.11	0.19	0.41	0.52	DGATE
MEGMT	0.63	0.88	0.11		-0.49	0.51	0.81	MEGMT
BORLS	-0.33	-0.48	0.19	-0.49		-0.08	-0.28	BORLS
KOZAA	0.57	0.38	0.41	0.51	-0.08		0.76	KOZAA
CUSAN	0.52	0.6	0.52	0.81	-0.28	0.76		CUSAN
	GSRAY	POLTK	DGATE	MEGMT	BORLS	KOZAA	CUSAN

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High positive correlations

MEGMT	+ 0.88	POLTK
CUSAN	+ 0.81	MEGMT
CUSAN	+ 0.76	KOZAA
POLTK	+ 0.65	GSRAY
MEGMT	+ 0.63	GSRAY
CUSAN	+ 0.6	POLTK

High negative correlations

BORLS	- 0.49	MEGMT
BORLS	- 0.48	POLTK
BORLS	- 0.33	GSRAY
CUSAN	- 0.28	BORLS
DGATE	- 0.15	GSRAY
DGATE	- 0.13	POLTK

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
GSRAY	1.85	(0.19)	0.00	(1.84)	0.00	0.00	3.09	(3.11)	14.59
POLTK	1.96	(0.14)	0.00	(0.65)	0.00	0.00	3.62	(3.81)	15.38
DGATE	2.55	0.13	0.02	0.58	3.11	(2.57)	5.41	(4.81)	17.37
MEGMT	1.87	(0.16)	0.00	1.29	0.00	0.00	3.56	(3.83)	12.82
BORLS	2.24	0.36	0.08	2.38	3.09	(2.37)	3.88	(5.43)	13.80
KOZAA	2.37	0.03	(0.01)	0.20	3.43	(2.24)	5.60	(5.43)	15.14
CUSAN	1.78	(0.04)	(0.04)	0.03	2.17	(1.93)	5.23	(3.23)	11.59

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All Fundamental Data

Competitive Analysis

Better Than Average

Worse Than Peers

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	GSRAY	POLTK	DGATE	MEGMT	BORLS	KOZAA	CUSAN
	3.09 7.00 Galatasaray	1.85 6,452 Politeknik	0.29 41.86 Datagate	2.14 30.56 MEGA	2.24 50.10 Borlease	9.93 74.70 Koza	4.04 20.62 Cuhadaroglu
Market Volatility (90 Days Market Risk)	Somewhat reliable	Very steady	Very steady	Very steady	Very steady	Very steady	Not too volatile
Market Performance (90 Days Performance)	Very Weak	Very Weak	OK	Very Weak	Good	OK	Weak
Odds of Financial Distress (Probability Of Bankruptcy)	Below Average	Low	Low	Unknown	Unknown	Low	Low
Current Valuation (Equity Enterprise Value)	Fairly 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	Strong Sell
Current Ratio	0.26 X	3.72 X	1.63 X			10.70 X	2.42 X
Net Asset	3.05 B	84.14 M	603.44 M			12.28 B	821.94 M
Profit Margin	(0.47) %	0.20 %	0.02 %			0.25 %	0.09 %
EBITDA	280.36 M	32.39 M	121.71 M			4.2 B	184.68 M
Operating Margin	(0.44) %	0.22 %	0.04 %			0.40 %	0.19 %
Current Valuation	6.59 B	4.5 B	726.06 M			11.21 B	2.03 B
Price To Book	N/A	40.49 X	3.22 X			3.81 X	3.99 X
Retained Earnings	(706 M)	8 M	52 M			1.09 B	43 M
Current Asset	210 M	18 M	250 M			1.83 B	144 M
Beta	1.23	0.73	0.83			0.87	0.51
Number Of Employees	676	61	68			2.81 K	687
Shares Outstanding	540 M	3.75 M	29.84 M			388.08 M	71.25 M
Cash Flow From Operations	43.35 M	14.99 M	38.85 M			2.38 B	(48.63 M)
Annual Yield	N/A	0.0008 %	N/A			N/A	0.03 %
Total Debt	2.2 B	5.16 M	N/A			4.32 M	9.87 M
Return On Equity	N/A	0.45	0.29			0.35	0.5
Z Score	1.2	N/A	3.0			N/A	67.0
Return On Asset	-0.0973	0.24	0.0852			0.12	0.21
Book Value Per Share	(2.57) X	29.64 X	6.32 X			15.45 X	5.05 X
Current Liabilities	727 M	5 M	191 M			219 M	52 M
Total Asset	3.05 B	84.14 M	603.44 M			12.28 B	821.94 M
Debt To Equity	N/A	0.10 %	69.50 %			N/A	0.07 %
Last Dividend Paid	N/A	1.0	N/A			N/A	0.44
Target Price	N/A	N/A	5.8			60.35	N/A
Shares Owned By Institutions	N/A	N/A	N/A			7.11 %	N/A
Market Capitalization	4.56 B	4.93 B	442.56 M			16.97 B	1.09 B
Price To Earning	12.93 X	67.78 X	7.80 X			4.67 X	8.99 X
Price To Sales	3.86 X	35.14 X	0.30 X			3.46 X	0.87 X
Net Income	(377.49 M)	24.9 M	31.33 M			1.26 B	95.31 M
Earnings Per Share	(0.53) X	7.43 X	1.23 X			3.06 X	2.21 X
Shares Owned By Insiders	60.00 %	80.30 %	59.24 %			52.20 %	74.03 %
Revenue	1.19 B	123.79 M	1.89 B			4.15 B	1.09 B
Working Capital	(517 M)	13 M	59 M			1.61 B	92 M
Cash And Equivalents	34.84 M	5.09 M	45.59 M			3.11 B	32.89 M
Cash Per Share	0.06 X	1.36 X	1.52 X			8.03 X	0.46 X
Gross Profit	(17.84 M)	42.09 M	92.82 M			2.51 B	239.34 M
Day Typical Price	6.93	6418.33	41.36	30.36	49.73	73.13	20.35
Accumulation Distribution	0.0286	0.0424	0.0489	0.0235	0.059	0.0629	0.0398
Market Facilitation Index	0.2	277.5	2.06	0.72	3.01	4.7	0.82
Daily Balance Of Power	1.05	0.4234	0.0583	0.8889	0.3654	1.43617	0.9756
Period Momentum Indicator	0.21	117.5	0.12	0.64	1.1	6.75	0.8
Rate Of Daily Change	1.03	1.02	1.0	1.02	1.02	1.1	1.04
Day Median Price	6.9	6401.25	41.11	30.26	49.55	72.35	20.21
Price Action Indicator	0.21	110.0	0.81	0.62	1.11	5.73	0.81
Coefficient Of Variation	(1,444)	(2,378)	1961.64	(1,436)	771.49	4903.92	9148.86
Mean Deviation	1.85	1.96	2.55	1.87	2.24	2.37	1.78
Jensen Alpha	(0.19)	(0.14)	0.1281	(0.16)	0.3603	0.0286	(0.04)
Total Risk Alpha	(0.51)	(0.46)	(0.27)	(0.48)	(0.01)	(0.37)	(0.29)
Sortino Ratio	N/A	N/A	0.0173	N/A	0.08	(0.01)	(0.04)
Downside Variance	N/A	N/A	10.17	N/A	11.95	12.26	5.04
Standard Deviation	2.52	2.63	3.23	2.34	2.98	3.24	2.36
Kurtosis	3.64	2.61	0.3021	0.6438	1.78	1.19	0.5726
Potential Upside	3.09	3.62	5.41	3.56	3.88	5.6	5.23
Treynor Ratio	(1.84)	(0.65)	0.5822	1.29	2.38	0.2028	0.0296
Maximum Drawdown	14.59	15.38	17.37	12.82	13.8	15.14	11.59
Variance	6.34	6.92	10.41	5.47	8.87	10.53	5.56
Market Risk Adjusted Performance	(1.83)	(0.64)	0.5922	1.3	2.39	0.2128	0.0396
Risk Adjusted Performance	(0.05)	(0.02)	0.0465	(0.05)	0.1063	0.0232	0.0151
Skewness	(0.18)	0.9338	0.257	0.3677	(0.88)	0.0039	0.3321
Semi Deviation	N/A	N/A	3.11	N/A	3.09	3.43	2.17
Information Ratio	(0.11)	(0.08)	0.0171	(0.12)	0.0929	(0.01)	(0.04)
Value At Risk	(3.11)	(3.81)	(4.81)	(3.83)	(5.43)	(5.43)	(3.23)
Expected Short fall	N/A	N/A	(2.57)	N/A	(2.37)	(2.24)	(1.93)
Downside Deviation	N/A	N/A	3.19	N/A	3.46	3.5	2.25
Semi Variance	N/A	N/A	9.66	N/A	9.56	11.77	4.72

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.

	Gambling Invested over 90 shares	Go
	Macroaxis Index Invested few shares	Go
	Warren Buffett Holdings Invested over 60 shares	Go
	Business Services Invested over 100 shares	Go
	Banking Invested over 20 shares	Go
	Investor Favorites Invested over 40 shares	Go
	SRI Sustainable Growth Invested few shares	Go
	Blockchain Invested few shares	Go
	Hedge Favorites Invested over 50 shares	Go
	Macroaxis Picks Invested over 30 shares	Go
	Chemicals Invested over 30 shares	Go
	Momentum Invested few shares	Go

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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 Portfolio Suggestion module to get suggestions outside of your existing asset allocation including your own model portfolios.

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