Compare Oma to Tecnotree, Tokmanni, Vaisala, CapMan, HKFoods, KONE

Comparing Oma to Tecnotree, Tokmanni, Vaisala, CapMan, HKFoods, KONE 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.

	OMASP	TEM1V	TOKMAN	VAIAS	CAPMAN	HKFOODS	KNEBV
OMASP		0.67	-0.07	0.37	0.5	-0.8	0.32	OMASP
TEM1V	0.67		-0.12	-0.11	0.31	-0.55	-0.05	TEM1V
TOKMAN	-0.07	-0.12		0.19	-0.21	0.0	-0.13	TOKMAN
VAIAS	0.37	-0.11	0.19		0.52	-0.11	0.69	VAIAS
CAPMAN	0.5	0.31	-0.21	0.52		-0.1	0.71	CAPMAN
HKFOODS	-0.8	-0.55	0.0	-0.11	-0.1		0.09	HKFOODS
KNEBV	0.32	-0.05	-0.13	0.69	0.71	0.09		KNEBV
	OMASP	TEM1V	TOKMAN	VAIAS	CAPMAN	HKFOODS	KNEBV

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High positive correlations

KNEBV	+ 0.71	CAPMAN
KNEBV	+ 0.69	VAIAS
TEM1V	+ 0.67	OMASP
CAPMAN	+ 0.52	VAIAS
CAPMAN	+ 0.5	OMASP
VAIAS	+ 0.37	OMASP

High negative correlations

HKFOODS	- 0.8	OMASP
HKFOODS	- 0.55	TEM1V
CAPMAN	- 0.21	TOKMAN
KNEBV	- 0.13	TOKMAN
TOKMAN	- 0.12	TEM1V
HKFOODS	- 0.11	VAIAS

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
OMASP	1.62	(0.33)	0.00	(3.25)	0.00	0.00	2.56	(3.30)	13.72
TEM1V	1.75	(0.35)	0.00	0.71	0.00	0.00	3.44	(4.65)	21.31
TOKMAN	1.31	0.14	0.04	0.63	1.13	(1.66)	2.19	(1.98)	17.12
VAIAS	1.38	0.06	0.02	0.19	1.71	(1.46)	2.84	(3.09)	9.94
CAPMAN	0.99	(0.09)	0.00	(0.06)	0.00	0.00	2.29	(2.08)	9.95
HKFOODS	1.97	0.53	0.13	(1.70)	1.58	(3.92)	3.90	(3.53)	26.58
KNEBV	0.98	0.03	(0.07)	(0.63)	1.24	(1.08)	1.97	(2.61)	6.12

Unable to evaluate fundamental data of [OMASP.HE, TEM1V.HE, TOKMAN.HE, VAIAS.HE, CAPMAN.HE, HKFOODS.HE, KNEBV.HE] at this time. Please try again later

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	OMASP	TEM1V	TOKMAN	VAIAS	CAPMAN	HKFOODS	KNEBV
	2.70 10.82 Oma	1.02 2.91 Tecnotree	0.76 11.70 Tokmanni	1.14 47.65 Vaisala	1.70 1.79 CapMan	1.20 0.84 HKFoods	1.48 47.92 KONE
Market Volatility (90 Days Market Risk)	Not too volatile	Relatively risky	Not too volatile	Very steady	Relatively risky	Extremely Dangerous	Very steady
Market Performance (90 Days Performance)	Very Weak	Very Weak	Modest	Weak	Weak	Good	Very Weak
Odds of Financial Distress (Probability Of Bankruptcy)	Low	Below Average	Low	Low	Low	Unknown	Low
Current Valuation (Equity Enterprise Value)	Over Valued	Over Valued	Over Valued	Fairly Valued	Fairly 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	Hold	Hold	Hold	Strong Sell	Strong Sell
Current Ratio	N/A	2.39 X	1.94 X	1.75 X	3.71 X		1.17 X
Net Asset	5.37 B	79.41 M	816.55 M	408 M	240.26 M		9.09 B
Profit Margin	0.39 %	0.19 %	0.05 %	0.09 %	0.59 %		0.07 %
EBITDA	N/A	23.22 M	174.49 M	71.7 M	46.06 M		1.3 B
Operating Margin	0.48 %	0.26 %	0.07 %	0.13 %	0.25 %		0.1 %
Current Valuation	1.99 B	176.63 M	1.13 B	1.56 B	471.27 M		25.06 B
Price To Book	1.51 X	2.49 X	3.67 X	6.16 X	3.18 X		9.10 X
Current Asset	N/A	47 M	N/A	161 M	N/A		4.79 B
Retained Earnings	N/A	N/A	N/A	162 M	N/A		1.75 B
Five Year Return	N/A	N/A	N/A	3.41 %	5.72 %		3.36 %
Beta	0.8	1.91	1.17	0.78	0.89		0.63
Number Of Employees	295	798	4.24 K	2.19 K	190		63.28 K
Shares Outstanding	30.02 M	311.45 M	58.82 M	29.5 M	158.03 M		441 M
Cash Flow From Operations	(768.38 M)	9.87 M	126.83 M	80 M	11.03 M		531.5 M
Annual Yield	0.02 %	N/A	0.07 %	0.02 %	0.06 %		0.04 %
Total Debt	N/A	N/A	99.29 M	40 M	81.36 M		200 M
Return On Equity	0.14	0.19	0.24	0.19	0.3		0.26
Z Score	N/A	N/A	5.8	22.0	3.0		77.2
Return On Asset	0.0098	0.13	0.0651	0.1	0.0405		0.0715
Book Value Per Share	12.16 X	0.23 X	4.20 X	6.86 X	0.89 X		5.49 X
Current Liabilities	N/A	56 M	N/A	66 M	N/A		4.65 B
Total Asset	5.37 B	79.41 M	816.55 M	408 M	240.26 M		9.09 B
Target Price	26.0	0.7	14.4	40.4	3.2		50.6
Last Dividend Paid	0.4	N/A	0.76	0.68	0.17		1.75
Debt To Equity	N/A	247.30 %	103.00 %	0.33 %	43.90 %		21.60 %
Shares Owned By Institutions	6.51 %	21.59 %	54.86 %	41.49 %	15.28 %		32.89 %
Market Capitalization	602.21 M	185.16 M	825.81 M	1.44 B	470.14 M		25.52 B
Price To Earning	N/A	2.88 X	13.83 X	45.98 X	38.12 X		31.75 X
Price To Earnings To Growth	N/A	N/A	9.27 X	1.72 X	0.67 X		4.61 X
Price To Sales	3.88 X	2.83 X	0.65 X	3.12 X	6.79 X		2.30 X
Net Income	66.16 M	18.27 M	77.95 M	39 M	34.32 M		774.5 M
Earnings Per Share	1.77 X	0.04 X	1.11 X	1.20 X	0.28 X		1.49 X
Shares Owned By Insiders	79.64 %	33.80 %	3.08 %	35.65 %	33.90 %		28.12 %
Revenue	148.58 M	63.2 M	1.14 B	437.9 M	52.78 M		10.91 B
Working Capital	N/A	(9 M)	N/A	95 M	N/A		139 M
Cash And Equivalents	N/A	3.9 M	37.9 M	52.3 M	57.73 M		1.69 B
Cash Per Share	N/A	0.02 X	0.64 X	1.45 X	0.38 X		3.27 X
Gross Profit	140.93 M	61.95 M	396.8 M	241.9 M	31.98 M		5.57 B
Day Typical Price	10.91	2.94	11.72	47.75	1.78	0.84	48.04
Accumulation Distribution	633.98	1245.01	1183.35	251.45	2113.79	530.09	7743.53
Market Facilitation Index	0.0	0.0	0.0	1.0E-4	N/A	0.0	0.0
Daily Balance Of Power	(0.88)	(0.17)	(0.53)	(0.55)	1.0	0.5	(0.85)
Period Momentum Indicator	(0.30)	(0.03)	(0.09)	(0.55)	0.03	0.01	(0.72)
Rate Of Daily Change	0.97	0.99	0.99	0.99	1.02	1.01	0.99
Day Median Price	10.95	2.96	11.73	47.8	1.78	0.84	48.11
Price Action Indicator	(0.28)	(0.07)	(0.07)	(0.43)	0.03	0.005	(0.54)
Coefficient Of Variation	(786.80)	(690.84)	1288.71	1110.37	(6,366)	711.93	3669.06
Mean Deviation	1.62	1.75	1.31	1.38	0.9851	1.97	0.9828
Jensen Alpha	(0.33)	(0.35)	0.1385	0.0586	(0.09)	0.5252	0.0294
Total Risk Alpha	(0.70)	(0.85)	(0.19)	(0.13)	(0.26)	(0.06)	(0.17)
Sortino Ratio	N/A	N/A	0.0387	0.0192	N/A	0.1267	(0.07)
Downside Variance	N/A	N/A	1.81	3.21	N/A	8.63	1.73
Standard Deviation	2.43	2.81	2.33	1.81	1.49	3.57	1.27
Kurtosis	5.69	9.68	28.3	1.08	11.2	20.57	0.2866
Potential Upside	2.56	3.44	2.19	2.84	2.29	3.9	1.97
Treynor Ratio	(3.25)	0.7118	0.6286	0.1922	(0.06)	(1.70)	(0.63)
Maximum Drawdown	13.72	21.31	17.12	9.94	9.95	26.58	6.12
Variance	5.89	7.87	5.42	3.28	2.21	12.72	1.62
Market Risk Adjusted Performance	(3.24)	0.7218	0.6386	0.2022	(0.05)	(1.69)	(0.62)
Risk Adjusted Performance	(0.09)	(0.10)	0.066	0.0746	(0.01)	0.1152	0.0248
Skewness	0.1185	(1.84)	4.45	0.0227	2.29	3.56	(0.24)
Semi Deviation	N/A	N/A	1.13	1.71	N/A	1.58	1.24
Information Ratio	(0.18)	(0.19)	0.0224	0.019	(0.10)	0.1044	(0.07)
Value At Risk	(3.30)	(4.65)	(1.98)	(3.09)	(2.08)	(3.53)	(2.61)
Expected Short fall	N/A	N/A	(1.66)	(1.46)	N/A	(3.92)	(1.08)
Downside Deviation	N/A	N/A	1.34	1.79	N/A	2.94	1.32
Semi Variance	N/A	N/A	1.29	2.93	N/A	2.49	1.54

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.

Use Investing Themes to Complement your positions

You can quickly originate your optimal portfoio using our predefined set of ideas and optimize them against your very unique investing style. A single investing idea is a collection of funds, stocks, ETFs, or cryptocurrencies that are programmatically selected from a pull of investment themes. After you determine your investment opportunity, you can then find an optimal portfolio that will maximize potential returns on the chosen idea or minimize its exposure to market volatility.

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Communication

Fama and French investing themes focus on testing asset pricing under different economic assumptions. The Communication theme has 61 constituents at this time.

You can either use a buy-and-hold strategy to lock in the entire theme or actively trade it to take advantage of the short-term price volatility of individual constituents. Macroaxis can help you discover thousands of investment opportunities in different asset classes. In addition, you can partner with us for reliable portfolio optimization as you plan to utilize Communication Theme or any other thematic opportunities.

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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 Sectors module to list of equity sectors categorizing publicly traded companies based on their primary business activities.

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