Clean Competitors

Stocks . Korea . 
Stock . Clean Science co
045520 Stock   4,630  25.00  0.54%   
Clean Science co competes with Korea New, ICD, DYPNF CoLtd, Busan Industrial, and Finebesteel; as well as few others. The company operates under Machinery sector and is part of Industrials industry. Analyzing Clean Science 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 Clean Science to its intrinsic valuation because they are able to contrast its competitors on a relative basis. Check out Clean Science Correlation with its peers.
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 Clean Science competition on your existing holdings.
  
Hype
Prediction
LowEstimatedHigh
4,6294,6304,631
Details
Intrinsic
Valuation
LowRealHigh
3,6103,6115,093
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Clean Science. Your research has to be compared to or analyzed against Clean Science's peers to derive any actionable benefits. When done correctly, Clean Science's competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy toward taking a position in Clean Science co.

Clean Science Competition Correlation Matrix

Typically, diversification allows investors to combine positions across different asset classes to reduce overall portfolio risk. Correlation between Clean Science 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 Clean 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 Clean Science co does not affect the price movement of the other competitor.
Click cells to compare fundamentals   Check Volatility   Backtest Portfolio
High positive correlations   
011390
+ 1.0
011390
263920
+ 0.92
040910
104460
+ 0.71
040910
263920
+ 0.56
104460
133820
+ 0.55
011390
133820
+ 0.55
011390
  
High negative correlations   
263920
- 0.56
006805
011390
- 0.56
040910
011390
- 0.56
040910
104460
- 0.55
058400
006805
- 0.54
040910
263920
- 0.53
011390

Risk-Adjusted Indicators

There is a big difference between Clean Stock performing well and Clean Science 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 Clean Science'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 DeviationJensen AlphaSortino RatioTreynor RatioSemi DeviationExpected ShortfallPotential UpsideValue @RiskMaximum Drawdown
058400  1.06  0.05 (0.05)(0.45) 1.36 
(1.45)
 3.60 
(2.96)
 9.85 
040910  2.02 (0.48) 0.00 (4.48) 0.00 
 0.00 
 3.82 
(4.29)
 10.22 
104460  2.43 (0.24) 0.00 (0.03) 0.00 
 0.00 
 5.14 
(4.62)
 14.18 
011390  2.71  0.29  0.07  0.59  3.17 
(3.44)
 5.62 
(4.82)
 24.98 
011390  2.71  0.29  0.07  0.59  3.17 
(3.44)
 5.62 
(4.82)
 24.98 
006805  1.29  0.15  0.03  0.70  1.67 
(1.46)
 1.44 
(2.55)
 37.44 
133820  1.99  0.15  0.05  0.41  2.01 
(2.57)
 3.59 
(2.93)
 25.82 
500003  1.64  0.04 (0.04)(0.36) 1.85 
(1.84)
 4.16 
(3.07)
 9.46 
267250  1.40 (0.08) 0.00 (0.25) 0.00 
 0.00 
 2.80 
(3.21)
 9.29 
263920  0.67 (0.17) 0.00  3.10  0.00 
 0.00 
 1.17 
(1.75)
 4.38 
All Fundamental Data

Clean Science Competitive Analysis

The better you understand Clean Science competitors, the better chance you have of utilizing it as a position in your portfolios. From an individual investor's perspective, Clean Science'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 Clean Science'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
045520 058400 040910 104460 011390 011390 006805 133820 500003 267250
 0.54 
 4,630 
Clean
 0.26 
 775.00 
Korea
 5.05 
 5,100 
ICD
 4.93 
 11,950 
DYPNF
 13.69 
 63,700 
Busan
 13.69 
 63,700 
Busan
 0.44 
 4,520 
Mirae
 2.52 
 1,100 
Finebesteel
 0.18 
 2,800 
Shinhan
 1.01 
 78,700 
Hyundai
Market Volatility
(90 Days Market Risk)
Very steady
Very steady
Very steady
Very steady
Very steady
Very steady
Very steady
Very steady
Very steady
Very steady
Market Performance
(90 Days Performance)
Very Weak
Weak
Very Weak
Weak
Modest
Modest
Insignificant
OK
Weak
Weak
Odds of Financial Distress
(Probability Of Bankruptcy)
Below Average
Low
Low
Low
Low
Unknown
Unknown
Low
Low
Below Average
Current Valuation
(Equity Enterprise Value)
Over Valued
Over Valued
Over Valued
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
Not Available
Not Available
Not Available
Trade Advice
(90 Days Macroaxis Advice)
Hold
Strong Sell
Strong Sell
Cautious Hold
Strong Sell
Strong Sell
Strong Sell
Cautious Hold
Strong Sell
Sell
Current Ratio
2.58
4.19
2.77
1.72
N/A
N/A
N/A
N/A
Net Asset
117.74 B
N/A
N/A
N/A
N/A
183.24 B
N/A
35.82 T
Profit Margin
-0.0399
11.54
7.51
2.41
N/A
0.0673
N/A
0.0213
EBITDA
5.39 B
13.21 B
8.33 B
3.53 B
N/A
15.33 B
N/A
1.71 T
Operating Margin
-0.0167
13.58
5.38
3.46
N/A
0.0934
N/A
0.0601
Current Valuation
170.56 B
N/A
N/A
N/A
N/A
138.3 B
N/A
18.9 T
Price To Book
N/A
0.08
2.82
0.91
N/A
0.8
N/A
0.63
Retained Earnings
14.97 B
94.85 B
30.57 B
37.83 B
N/A
N/A
N/A
N/A
Current Asset
29.01 B
53.86 B
53.41 B
63.34 B
N/A
N/A
N/A
N/A
Beta
0.95
N/A
N/A
N/A
N/A
1.23
N/A
0.9
Number Of Employees
183
12
219
12
N/A
2
N/A
55
Shares Outstanding
6.24 M
132.43 B
16.45 B
10.71 B
N/A
29.78 M
N/A
70.67 M
Cash Flow From Operations
11.21 B
14.44 B
8.82 B
7.75 B
N/A
11.17 B
N/A
205.8 B
Annual Yield
0.0118
N/A
N/A
N/A
N/A
N/A
N/A
0.12
Total Debt
33.5 B
500 M
1.87 B
11.66 B
N/A
5.09 B
N/A
9.41 T
Return On Equity
-10.85
N/A
N/A
N/A
N/A
0.13
N/A
0.11
Z Score
2.2
172.2
78.0
2.4
N/A
7.2
N/A
N/A
Return On Asset
-0.0106
2.87
4.68
2.03
N/A
0.0502
N/A
0.0372
Book Value Per Share
N/A
13008.21
5532.14
5568.52
N/A
N/A
N/A
N/A
Current Liabilities
11.26 B
12.87 B
35.71 B
36.77 B
N/A
N/A
N/A
N/A
Total Asset
117.74 B
188.92 B
128.13 B
94.02 B
N/A
183.24 B
N/A
35.82 T
Debt To Equity
0.54
N/A
0.02
0.21
N/A
N/A
N/A
N/A
Target Price
N/A
N/A
N/A
N/A
N/A
N/A
N/A
79800.0
Last Dividend Paid
N/A
N/A
N/A
N/A
N/A
N/A
N/A
7400.0
Shares Owned By Institutions
2.02
N/A
N/A
N/A
N/A
0.01
N/A
18.6
Market Capitalization
75.82 B
143.69 B
244.19 B
51.02 B
N/A
63.58 B
N/A
4.35 T
Price To Earning
9.69
19.79
45.24
25.39
N/A
N/A
N/A
N/A
Price To Sales
0.34
0.19
3.0
0.65
N/A
0.45
N/A
0.0868
Net Income
(7.25 B)
7.26 B
5.41 B
2.01 B
N/A
2.37 B
N/A
(132.3 B)
Earnings Per Share
N/A
54.82
335.99
197.73
N/A
N/A
N/A
N/A
Shares Owned By Insiders
32.65
N/A
N/A
N/A
N/A
51.0
N/A
36.3
Revenue
121.66 B
62.9 B
72.06 B
83.26 B
N/A
124.08 B
N/A
28.16 T
Working Capital
17.76 B
40.99 B
17.7 B
26.57 B
N/A
N/A
N/A
N/A
Cash And Equivalents
5.49 B
43.31 B
9.95 B
11.84 B
N/A
N/A
N/A
N/A
Cash Per Share
N/A
N/A
619.52
N/A
N/A
N/A
N/A
N/A
Gross Profit
33.64 B
20.93 B
12.46 B
12.49 B
N/A
11.61 B
N/A
2.65 T
Day Typical Price
4621.67
772.67
5115.0
12066.67
65533.33
65533.33
4506.67
1103.67
2801.67
78866.67
Accumulation Distribution
97.15
0.0218
22868.02
6846.77
21090.46
21091.9
901.78
4894.61
2.36
1911.47
Market Facilitation Index
0.0124
17.0
0.0023
0.0092
0.0238
0.0238
0.0024
0.0013
0.0339
0.0148
Daily Balance Of Power
(0.33)
(0.12)
0.4579
(0.70)
(1.71)
(1.71)
0.2
0.3176
0.3333
(0.53)
Period Momentum Indicator
(25.00)
(2.00)
245.0
(620.00)
(10,100)
(10,100)
20.0
27.0
5.0
(800.00)
Rate Of Daily Change
0.99
1.0
1.05
0.95
0.86
0.86
1.0
1.03
1.0
0.99
Day Median Price
4617.5
771.5
5122.5
12125.0
66450.0
66450.0
4500.0
1105.5
2802.5
78950.0
Price Action Indicator
N/A
2.5
100.0
(485.00)
(7,800)
(7,800)
30.0
8.0
N/A
(650.00)
Coefficient Of Variation
(355.60)
3225.17
(549.52)
(7,842)
1435.61
1435.61
2120.5
1416.92
4841.76
(4,309)
Mean Deviation
1.24
1.06
2.02
2.43
2.71
2.71
1.29
1.99
1.64
1.4
Jensen Alpha
(0.59)
0.0513
(0.48)
(0.24)
0.2874
0.2874
0.1486
0.1533
0.0445
(0.08)
Total Risk Alpha
(0.81)
(0.21)
(0.85)
(0.59)
(0.44)
(0.44)
(0.42)
(0.26)
(0.28)
(0.34)
Sortino Ratio
N/A
(0.05)
N/A
N/A
0.0687
0.0687
0.0284
0.045
(0.04)
N/A
Downside Variance
N/A
2.29
N/A
N/A
12.37
12.37
4.87
4.76
4.06
N/A
Standard Deviation
1.84
1.64
2.53
3.57
5.27
5.27
3.99
3.17
2.11
1.9
Kurtosis
6.98
2.45
(0.36)
4.71
16.77
16.77
49.4
16.08
0.1569
1.03
Potential Upside
1.53
3.6
3.82
5.14
5.62
5.62
1.44
3.59
4.16
2.8
Treynor Ratio
(1.01)
(0.45)
(4.48)
(0.03)
0.5919
0.5919
0.7003
0.4088
(0.36)
(0.25)
Maximum Drawdown
10.49
9.85
10.22
14.18
24.98
24.98
37.44
25.82
9.46
9.29
Variance
3.4
2.68
6.39
12.71
27.76
27.76
15.88
10.04
4.47
3.62
Market Risk Adjusted Performance
(1.00)
(0.44)
(4.47)
(0.02)
0.6019
0.6019
0.7103
0.4188
(0.35)
(0.24)
Risk Adjusted Performance
(0.21)
0.0291
(0.13)
(0)
0.0619
0.0619
0.0442
0.0617
0.0222
(0.01)
Skewness
(2.02)
0.2676
0.4314
1.33
3.06
3.06
6.41
2.79
0.5013
(0.77)
Semi Deviation
N/A
1.36
N/A
N/A
3.17
3.17
1.67
2.01
1.85
N/A
Information Ratio
(0.35)
(0.05)
(0.23)
(0.05)
0.0459
0.0459
0.0157
0.031
(0.04)
(0.09)
Value At Risk
(3.61)
(2.96)
(4.29)
(4.62)
(4.82)
(4.82)
(2.55)
(2.93)
(3.07)
(3.21)
Expected Short fall
N/A
(1.45)
N/A
N/A
(3.44)
(3.44)
(1.46)
(2.57)
(1.84)
N/A
Downside Deviation
N/A
1.51
N/A
N/A
3.52
3.52
2.21
2.18
2.02
N/A
Semi Variance
N/A
1.84
N/A
N/A
10.04
10.04
2.78
4.03
3.44
N/A

Clean Science Competition Performance Charts

Five steps to successful analysis of Clean Science Competition

Clean Science'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 Clean Science co in relation to its competition. Clean Science's competition analysis typically involves several steps, including:
  • Identifying the key players in the market: This involves identifying the major competitors of Clean Science 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 Clean Science's competitive landscape.
  • Identifying opportunities and threats: This involves using the information gathered during the analysis to identify opportunities and threats to Clean Science co, 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.

Complement your Clean Science position

In addition to having Clean Science in your portfolios, you can quickly add positions 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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Entertainment
Entertainment Theme
Fama and French investing themes focus on testing asset pricing under different economic assumptions. The Entertainment 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 Entertainment Theme or any other thematic opportunities.
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Other Information on Investing in Clean Stock

Clean Science financial ratios help investors to determine whether Clean Stock is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Clean with respect to the benefits of owning Clean Science security.
Macroaxis helps investors of all levels and skills to maximize the upside of all their holdings and minimize the risk associated with market volatility, economic swings, and company-specific events. View terms and conditions
 
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