General Competitors

Stocks . Brazil . 
Stock . General Shopping e
GSHP3 Stock  BRL 10.80  0.00  0.00%   
General Shopping e competes with Deutsche Bank, Bemobi Mobile, Palantir Technologies, MAHLE Metal, and Agilent Technologies; as well as few others. The company operates under Real Estate Management & Development sector and is part of Real Estate industry. Analyzing General Shopping 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 General Shopping to its intrinsic valuation because they are able to contrast its competitors on a relative basis. Check out General Shopping 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 General Shopping competition on your existing holdings.
  
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of General Shopping's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Hype
Prediction
LowEstimatedHigh
8.9110.8012.69
Details
Intrinsic
Valuation
LowRealHigh
7.969.8511.74
Details
Naive
Forecast
LowNextHigh
9.1911.0712.96
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
10.8010.8010.80
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as General Shopping. Your research has to be compared to or analyzed against General Shopping's peers to derive any actionable benefits. When done correctly, General Shopping'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 General Shopping e.

General Shopping Competition Correlation Matrix

Typically, diversification allows investors to combine positions across different asset classes to reduce overall portfolio risk. Correlation between General Shopping 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 General 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 General Shopping e does not affect the price movement of the other competitor.
Click cells to compare fundamentals   Check Volatility   Backtest Portfolio
High positive correlations   
S1PO34
+ 0.84
DBAG34
S1PO34
+ 0.67
P2LT34
P2LT34
+ 0.61
BMOB3
H1DB34
+ 0.55
DBAG34
H1DB34
+ 0.51
A1GI34
S1PO34
+ 0.44
BMOB3
  
High negative correlations   
S1PO34
- 0.76
LUPA3
LUPA3
- 0.7
DBAG34
LUPA3
- 0.37
P2LT34
LEVE3
- 0.32
DBAG34
LUPA3
- 0.25
A1GI34
LUPA3
- 0.19
H1DB34

Risk-Adjusted Indicators

There is a big difference between General Stock performing well and General Shopping 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 General Shopping'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.

General Shopping Competitive Analysis

The better you understand General Shopping competitors, the better chance you have of utilizing it as a position in your portfolios. From an individual investor's perspective, General Shopping'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 General Shopping'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
GSHP3 DBAG34 BMOB3 P2LT34 LEVE3 A1GI34 H1DB34 LUPA3 S1PO34
 0.00 
 10.80 
General
 1.97 
 83.44 
Deutsche
 1.66 
 12.45 
Bemobi
 1.07 
 36.95 
Palantir
 2.58 
 32.84 
MAHLE
 1.30 
 346.07 
Agilent
 1.35 
 60.04 
HDFC
 3.29 
 1.57 
Lupatech
 2.15 
 377.80 
Spotify
Market Volatility
(90 Days Market Risk)
Not too volatile
Very steady
Not too volatile
Not too volatile
Very steady
Very steady
Very steady
Very risky
Very steady
Market Performance
(90 Days Performance)
Very Weak
Solid
Weak
OK
Very Weak
OK
Modest
Very Weak
Solid
Odds of Financial Distress
(Probability Of Bankruptcy)
Quite High
Low
Low
Quite High
Low
Low
Low
Quite High
Low
Current Valuation
(Equity Enterprise Value)
Over Valued
Over Valued
Fairly Valued
Under Valued
Fairly Valued
Over Valued
Fairly Valued
Under Valued
Under 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
Trade Advice
(90 Days Macroaxis Advice)
Strong Sell
Cautious Hold
Strong Hold
Strong Buy
Strong Hold
Strong Sell
Cautious Hold
Cautious Hold
Strong Buy
Current Ratio
0.63
N/A
3.11
N/A
2.05
N/A
N/A
1.6
1.27
Net Asset
1.73 B
1.32 T
1.45 B
3.25 B
2.94 B
10.52 B
21.11 T
503.03 M
7.17 B
Profit Margin
-1.14
0.21
0.0029
-0.31
0.14
0.18
0.41
-0.24
-0.0367
EBITDA
(59.57 M)
N/A
143.02 M
(469.96 M)
832.02 M
1.91 B
N/A
(21.86 M)
427 M
Operating Margin
0.38
0.22
0.0683
-0.11
0.14
0.24
0.55
-0.26
-0.0554
Current Valuation
1.86 B
N/A
692.78 M
69.57 B
3.94 B
252.29 B
N/A
246.95 M
70.65 B
Price To Book
7.62
0.29
1.15
6.56
2.32
8.23
2.53
1.0
6.15
Five Year Return
N/A
N/A
N/A
N/A
4.84
N/A
N/A
N/A
N/A
Beta
1.36
1.43
0.43
2.89
1.01
1.05
0.74
1.16
1.77
Number Of Employees
163
84.93 K
3
3.71 K
7.39 K
18.1 K
166.89 K
454
8.36 K
Shares Outstanding
1.88 M
2.04 B
87.1 M
6.25 B
128.31 M
591.72 M
5.58 B
30.35 M
773.17 M
Cash Flow From Operations
(39.65 M)
(37.58 B)
23.31 M
333.85 M
357.9 M
1.31 B
(2.36 T)
(14.63 M)
361 M
Annual Yield
2.76
0.0228
0.014
N/A
0.0535
0.0056
0.0086
N/A
N/A
Total Debt
1.93 B
148.19 B
11.13 M
N/A
100.07 M
2.73 B
1.55 T
90.59 M
1.2 B
Return On Equity
N/A
0.0806
0.0838
-0.24
0.34
0.23
0.17
-0.22
-0.19
Z Score
N/A
N/A
67.8
N/A
28.0
52.2
N/A
0.6
62.8
Return On Asset
0.0223
0.0043
0.0472
-0.0387
0.12
0.0987
0.0201
-0.037
-0.0549
Book Value Per Share
-439.23
34.61
12.16
1.15
12.84
8.98
235.9
3.75
3.11
Total Asset
1.73 B
1.32 T
1.45 B
3.25 B
2.94 B
10.52 B
21.11 T
503.03 M
7.17 B
Target Price
3.0
N/A
24.4
N/A
27.0
N/A
N/A
3.8
N/A
Last Dividend Paid
N/A
0.3
0.2
N/A
3.66
0.84
N/A
N/A
N/A
Debt To Equity
N/A
N/A
0.011
N/A
0.14
N/A
N/A
154.6
0.57
Shares Owned By Institutions
0.12
N/A
36.6
N/A
14.88
N/A
N/A
4.05
N/A
Market Capitalization
29.09 M
133.94 B
1.27 B
82.52 B
4.51 B
238.87 B
599.16 B
153.28 M
124.49 B
Price To Earning
7.14
25.16
17.57
N/A
9.96
N/A
13.17
0.06
N/A
Price To Earnings To Growth
N/A
0.12
N/A
1.41
2.74
2.25
N/A
N/A
N/A
Price To Sales
0.29
4.48
0.85
42.39
0.88
34.44
0.59
1.03
6.56
Net Income
(256.47 M)
2.45 B
75.35 M
(520.38 M)
566.86 M
1.25 B
380.53 B
(41.34 M)
(34 M)
Earnings Per Share
37.5
8.81
0.99
-1.31
4.47
11.06
4.33
8.22
-0.77
Shares Owned By Insiders
69.51
N/A
35.99
N/A
7.0
N/A
N/A
20.37
N/A
Revenue
130.58 M
25.31 B
488.84 M
1.54 B
3.62 B
6.85 B
1.02 T
93.55 M
9.67 B
Cash And Equivalents
267.25 M
600.75 B
266.85 M
N/A
317.66 M
N/A
1.02 T
17.9 M
2.98 B
Cash Per Share
8.41
291.19
5.62
N/A
1.92
N/A
91.69
1.53
3.9
Gross Profit
95.06 M
25.98 B
181.84 M
1.2 B
986.96 M
3.72 B
911.86 B
25.24 M
2.93 B
Day Typical Price
10.8
83.06
12.53
36.89
33.12
346.16
60.04
1.57
381.7
Accumulation Distribution
N/A
0.0137
0.0367
0.0286
0.0386
8.0E-4
N/A
0.0313
0.03
Market Facilitation Index
N/A
1.14
0.47
1.07
1.31
0.26
N/A
0.05
11.7
Daily Balance Of Power
0.0
1.412281
(0.45)
(0.37)
(0.66)
(17.58)
9.2 T
1.0
(0.71)
Period Momentum Indicator
N/A
1.61
(0.21)
(0.40)
(0.87)
(4.57)
0.8
0.05
(8.30)
Rate Of Daily Change
1.0
1.02
0.98
0.99
0.97
0.99
1.01
1.03
0.98
Day Median Price
10.8
82.87
12.58
36.86
33.27
346.2
60.04
1.58
383.65
Price Action Indicator
N/A
1.38
(0.23)
(0.10)
(0.86)
(2.41)
0.4
0.02
(10.00)
Relative Strength Index
N/A
88.99
70.6
58.09
66.34
2.76
41.67
51.78
72.1
Coefficient Of Variation
(411.69)
409.19
(1,681)
825.53
(1,182)
4820.22
(1,992)
(583.09)
337.32
Mean Deviation
0.8317
1.15
1.13
2.72
1.33
0.3654
1.41
1.98
1.69
Jensen Alpha
(0.47)
0.4439
(0.15)
0.5418
(0.21)
0.0353
(0.14)
(0.65)
0.6328
Total Risk Alpha
(0.65)
0.2567
(0.25)
0.1166
(0.33)
(0.12)
(0.29)
(0.89)
0.4368
Sortino Ratio
N/A
0.1599
N/A
0.2032
N/A
N/A
N/A
N/A
0.276
Downside Variance
N/A
5.27
N/A
6.39
N/A
N/A
N/A
N/A
4.54
Standard Deviation
1.9
1.78
1.56
4.81
1.76
1.46
1.93
3.32
2.22
Kurtosis
36.28
9.93
1.07
22.0
1.77
33.59
1.23
12.01
1.85
Potential Upside
N/A
4.02
2.27
7.6
2.36
0.1988
2.76
4.42
3.67
Treynor Ratio
20.02
(1.37)
(0.14)
1.09
(0.20)
(0.08)
(0.22)
(0.50)
2.69
Maximum Drawdown
13.36
12.77
7.75
36.06
10.67
12.42
7.0
24.33
11.26
Variance
3.63
3.18
2.42
23.12
3.09
2.14
3.71
11.04
4.91
Market Risk Adjusted Performance
20.03
(1.36)
(0.13)
1.1
(0.19)
(0.07)
(0.21)
(0.49)
2.7
Risk Adjusted Performance
(0.14)
0.1576
(0.03)
0.0836
(0.05)
0.0186
(0.02)
(0.1)
0.1904
Skewness
(5.68)
(1.20)
0.3738
3.86
(0.48)
3.55
(0.54)
2.5
0.1965
Semi Deviation
N/A
1.25
N/A
2.17
N/A
N/A
N/A
N/A
1.53
Information Ratio
(0.28)
0.2059
(0.10)
0.1069
(0.12)
(0.03)
(0.09)
(0.19)
0.2655
Value At Risk
(3.38)
(1.28)
(2.72)
(3.57)
(2.81)
(0.35)
(3.87)
(4.82)
(2.91)
Expected Short fall
N/A
(1.73)
N/A
(3.51)
N/A
N/A
N/A
N/A
(1.87)
Downside Deviation
N/A
2.3
N/A
2.53
N/A
N/A
N/A
N/A
2.13
Semi Variance
N/A
1.57
N/A
4.69
N/A
N/A
N/A
N/A
2.34

General Shopping Competition Performance Charts

Five steps to successful analysis of General Shopping Competition

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

In addition to having General Shopping 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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Sector ETFs Theme
ETF themes focus on helping investors to gain exposure to a broad range of assets, diversify, and lower overall costs. The Sector ETFs theme has 421 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 Sector ETFs Theme or any other thematic opportunities.
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Check out General Shopping Correlation with its peers.
Note that the General Shopping e information on this page should be used as a complementary analysis to other General Shopping's statistical models used 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 Instant Ratings module to determine any equity ratings based on digital recommendations. Macroaxis instant equity ratings are based on combination of fundamental analysis and risk-adjusted market performance.

Complementary Tools for General Stock analysis

When running General Shopping's price analysis, check to measure General Shopping's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy General Shopping is operating at the current time. Most of General Shopping's value examination focuses on studying past and present price action to predict the probability of General Shopping's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move General Shopping's price. Additionally, you may evaluate how the addition of General Shopping to your portfolios can decrease your overall portfolio volatility.
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Altman
Z Score
Details
Intrinsic
Valuation
Details
Financial
Analysis
Details
Buy or Sell
Advice
Details
Technical
Analysis
Details
Please note, there is a significant difference between General Shopping's value and its price as these two are different measures arrived at by different means. Investors typically determine if General Shopping is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, General Shopping's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.
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