Compare HOCHSCHILD to Platinum, International, PENN, Brockhaus, QINGCI, FUTURE

Comparing HOCHSCHILD to Platinum, International, PENN, Brockhaus, QINGCI, FUTURE 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.

	H3M	PIJ	7IG	PN1	BKHT	Z56	6L50
H3M		-0.04	-0.15	0.39	-0.43	0.19	-0.23	H3M
PIJ	-0.04		0.19	-0.48	0.49	-0.28	0.7	PIJ
7IG	-0.15	0.19		-0.14	0.3	-0.47	0.24	7IG
PN1	0.39	-0.48	-0.14		-0.74	0.14	-0.62	PN1
BKHT	-0.43	0.49	0.3	-0.74		-0.31	0.58	BKHT
Z56	0.19	-0.28	-0.47	0.14	-0.31		-0.35	Z56
6L50	-0.23	0.7	0.24	-0.62	0.58	-0.35		6L50
	H3M	PIJ	7IG	PN1	BKHT	Z56	6L50

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High positive correlations

6L50	+ 0.7	PIJ
6L50	+ 0.58	BKHT
BKHT	+ 0.49	PIJ
PN1	+ 0.39	H3M
BKHT	+ 0.3	7IG
6L50	+ 0.24	7IG

High negative correlations

BKHT	- 0.74	PN1
6L50	- 0.62	PN1
PN1	- 0.48	PIJ
Z56	- 0.47	7IG
BKHT	- 0.43	H3M
6L50	- 0.35	Z56

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
H3M	2.67	0.38	0.09	2.66	2.82	(3.07)	5.82	(5.50)	18.20
PIJ	1.99	0.18	0.03	0.45	2.60	(4.33)	3.03	(2.50)	32.05
7IG	1.35	(0.14)	0.00	(0.69)	0.00	0.00	3.75	(2.70)	11.76
PN1	1.95	0.19	0.07	0.37	2.17	(2.04)	5.14	(4.02)	12.31
BKHT	1.59	(0.22)	0.00	(1.10)	0.00	0.00	3.57	(3.85)	12.53
Z56	1.46	0.27	0.02	(1.25)	1.98	(5.63)	3.85	(3.70)	20.19
6L50	2.47	(0.21)	0.00	(0.27)	0.00	0.00	6.67	(4.84)	24.49

Unable to evaluate fundamental data of [H3M.BE, PIJ.F, 7IG.F, PN1.BE, BKHT.F, Z56.F, 6L50.F] at this time. Please try again later

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Competitive Analysis

Better Than Average

Worse Than Peers

View Performance Chart

	H3M	PIJ	7IG	PN1	BKHT	Z56	6L50
	5.50 2.75 HOCHSCHILD	17.65 0.40 Platinum	2.22 17.60 International	5.36 19.28 PENN	2.55 22.90 Brockhaus	3.45 0.30 QINGCI	5.56 0.51 FUTURE
Market Volatility (90 Days Market Risk)	Risky	Out of control	Not too volatile	Not too volatile	Very steady	Out of control	Abnormally volatile
Market Performance (90 Days Performance)	OK	Very Weak	Very Weak	Insignificant	Very Weak	Modest	Very Weak
Odds of Financial Distress (Probability Of Bankruptcy)	Low	Low	Low	Low	Quite High	Low	Low
Current Valuation (Equity Enterprise Value)	Over Valued	Over Valued	Over Valued	Fairly 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)	Sell	Sell	Sell	Cautious Hold	Strong Sell	Strong Sell	Strong Sell
Current Ratio	N/A	6.88 X	0.69 X	N/A	8.56 X	N/A	N/A
Net Asset	1.45 B	349.76 M	11.32 B	17.5 B	614.5 M	N/A	N/A
Profit Margin	N/A	0.38 %	0.07 %	N/A	0 %	N/A	N/A
EBITDA	N/A	178.66 M	1.61 B	1.5 B	459 K	N/A	N/A
Current Valuation	494.86 M	546.67 M	9.81 B	15.57 B	519.69 M	N/A	N/A
Price To Book	0.62 X	3.08 X	3.02 X	1.49 X	1.14 X	N/A	N/A
Operating Margin	N/A	0.60 %	0.22 %	N/A	0.16 %	N/A	N/A
Beta	N/A	1.26	1.89	N/A	0.71	N/A	N/A
Number Of Employees	N/A	7	10.39 K	N/A	364	538	N/A
Shares Outstanding	N/A	586.68 M	199.31 M	N/A	10.95 M	N/A	N/A
Cash Flow From Operations	N/A	122.66 M	978 M	878.2 M	(6.21 M)	N/A	N/A
Annual Yield	0.03 %	0.06 %	0.03 %	N/A	N/A	N/A	N/A
Total Debt	300 M	3.25 M	6.48 B	6.69 B	119.57 M	N/A	N/A
Return On Equity	N/A	0.24	0.21	N/A	0.0385	N/A	N/A
Z Score	N/A	N/A	N/A	0.6	1.2	N/A	N/A
Return On Asset	N/A	0.21	0.0533	N/A	0.0319	N/A	N/A
Book Value Per Share	N/A	0.57 X	7.17 X	N/A	21.28 X	N/A	N/A
Total Asset	1.45 B	349.76 M	11.32 B	17.5 B	614.5 M	N/A	N/A
Last Dividend Paid	0.0234	0.14	N/A	N/A	N/A	N/A	N/A
Debt To Equity	N/A	0.02 %	321.30 %	N/A	0.23 %	N/A	N/A
Target Price	N/A	N/A	29.46	N/A	42.3	N/A	N/A
Shares Owned By Institutions	N/A	17.94 %	46.47 %	N/A	24.47 %	N/A	N/A
Market Capitalization	N/A	897.49 M	5.03 B	7.35 B	255.05 M	N/A	N/A
Price To Earning	N/A	10.39 X	18.73 X	N/A	N/A	N/A	N/A
Price To Sales	0.54 X	2.81 X	1.12 X	0.97 X	1.85 X	N/A	N/A
Net Income	N/A	101.49 M	482 M	222.1 M	(15.88 M)	N/A	N/A
Earnings Per Share	N/A	0.09 X	1.65 X	N/A	0.04 X	N/A	N/A
Shares Owned By Insiders	N/A	30.05 %	48.10 %	N/A	43.69 %	N/A	N/A
Revenue	N/A	252.67 M	4.09 B	6.4 B	61.72 M	N/A	N/A
Cash And Equivalents	N/A	157.42 M	290.36 M	N/A	122.78 M	N/A	N/A
Cash Per Share	N/A	0.27 X	1.42 X	N/A	11.82 X	N/A	N/A
Gross Profit	N/A	179.93 M	2 B	N/A	38.55 M	N/A	N/A
Day Typical Price	2.75	0.4	17.7	19.28	22.9	0.3	0.5
Accumulation Distribution	N/A	0.025	0.0168	N/A	N/A	0.0333	0.0588
Market Facilitation Index	N/A	0.01	0.3	N/A	N/A	0.01	0.03
Daily Balance Of Power	(9,223,372,036,855)	6.0	(1.33)	9.2 T	(9,223,372,036,855)	1.0	(1.00)
Period Momentum Indicator	(0.16)	0.06	(0.40)	0.98	(0.60)	0.01	(0.03)
Rate Of Daily Change	0.95	1.18	0.98	1.05	0.97	1.03	0.94
Day Median Price	2.75	0.4	17.75	19.28	22.9	0.3	0.5
Price Action Indicator	(0.08)	0.035	(0.35)	0.49	(0.30)	0.01	N/A
Relative Strength Index	40.73	20.45	40.14	66.49	30.54	54.47	61.75
Coefficient Of Variation	856.97	1687.36	(1,677)	965.78	(1,186)	1155.81	(2,607)
Mean Deviation	2.67	1.99	1.35	1.95	1.59	1.46	2.47
Jensen Alpha	0.3808	0.1802	(0.14)	0.1922	(0.22)	0.27	(0.21)
Total Risk Alpha	(0.04)	(0.27)	(0.36)	(0.06)	(0.48)	(0.12)	(0.63)
Sortino Ratio	0.0911	0.0282	N/A	0.0667	N/A	0.0236	N/A
Downside Variance	11.13	22.79	N/A	6.07	N/A	47.11	N/A
Standard Deviation	3.46	3.96	1.9	2.55	2.26	3.03	3.83
Kurtosis	0.5634	12.37	2.14	0.2038	1.58	7.28	4.24
Potential Upside	5.82	3.03	3.75	5.14	3.57	3.85	6.67
Treynor Ratio	2.66	0.4542	(0.69)	0.3686	(1.10)	(1.25)	(0.27)
Maximum Drawdown	18.2	32.05	11.76	12.31	12.53	20.19	24.49
Variance	11.99	15.69	3.61	6.52	5.09	9.16	14.69
Market Risk Adjusted Performance	2.67	0.4642	(0.68)	0.3786	(1.09)	(1.24)	(0.26)
Risk Adjusted Performance	0.0925	0.0511	(0.04)	0.0822	(0.05)	0.0703	(0.02)
Skewness	0.2989	1.46	0.7184	0.3141	0.0469	0.4368	(0.41)
Semi Deviation	2.82	2.6	N/A	2.17	N/A	1.98	N/A
Information Ratio	0.0878	0.034	(0.11)	0.0643	(0.13)	0.0534	(0.06)
Value At Risk	(5.50)	(2.50)	(2.70)	(4.02)	(3.85)	(3.70)	(4.84)
Expected Short fall	(3.07)	(4.33)	N/A	(2.04)	N/A	(5.63)	N/A
Downside Deviation	3.34	4.77	N/A	2.46	N/A	6.86	N/A
Semi Variance	7.94	6.74	N/A	4.69	N/A	3.94	N/A

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.

	FinTech Invested over 40 shares	Go
	Dividend Beast Invested over 50 shares	Go
	Momentum Invested over 200 shares	Go
	Driverless Cars Invested over 50 shares	Go
	Macroaxis Index Invested few shares	Go
	Warren Buffett Holdings Invested over 40 shares	Go
	Investor Favorites Invested few shares	Go
	Impulse Invested few shares	Go
	Electronic Equipment 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 Piotroski F Score module to get Piotroski F Score based on the binary analysis strategy of nine different fundamentals.

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