Silver Competitors

OTC Stocks . USA . 
Stock . Silver Mountain Resources
AGMRF Stock  USD 3.00  0.27  9.89%   
Silver Mountain Resources competes with Lahontan Gold, EMP Metals, Eastern Platinum, Sonoro Gold, and P2 Gold; as well as few others. The company classifies itself under Basic Materials sector and is part of Other Precious Metals & Mining industry. Analyzing Silver Mountain 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 Silver Mountain to its intrinsic valuation because they are able to contrast its competitors on a relative basis. Check out Silver Mountain Correlation with its peers.

Silver Mountain vs Altamira Gold Correlation

Poor diversification

The correlation between Silver Mountain Resources and EQTRF is 0.65 (i.e., Poor diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding Silver Mountain Resources and EQTRF in the same portfolio, assuming nothing else is changed.

Moving together with Silver OTC Stock

  0.93AGPPF Anglo American PlatinumPairCorr
  0.94ANGPY Valterra PlatinumPairCorr
  0.89BVN Compania de MinasPairCorr
  0.94IMPUY Impala Platinum HoldingsPairCorr
  0.9IMPUF Impala Platinum HoldingsPairCorr

Moving against Silver OTC Stock

  0.65MSFT Microsoft Earnings Call This WeekPairCorr
  0.36AAPL Apple Inc Earnings Call This WeekPairCorr
Specify up to 10 symbols:
Hype
Prediction
LowEstimatedHigh
0.153.009.13
Details
Intrinsic
Valuation
LowRealHigh
0.112.258.38
Details
Naive
Forecast
LowNextHigh
0.062.838.96
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
1.972.623.27
Details

Silver Mountain Competition Correlation Matrix

Typically, diversification allows investors to combine positions across different asset classes to reduce overall portfolio risk. Correlation between Silver Mountain and its competitors represents the degree of relationship between the price movements of corresponding otcs. A correlation of about +1.0 implies that the price of Silver 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 Silver Mountain Resources does not affect the price movement of the other competitor.

High positive correlations

PGLDF
+ 0.9
ELRFF
PGLDF
+ 0.9
SMOFF
VIPRF
+ 0.88
ELRFF
VIPRF
+ 0.88
PGLDF
VIPRF
+ 0.87
LGCXF
SMOFF
+ 0.87
ELRFF
  

High negative correlations

EQTRF
- 0.15
ADYRF
ADYRF
- 0.15
EMPPF
ADYRF
- 0.11
SMOFF
ATEPF
- 0.02
ADYRF
ADYRF
- 0.02
ELRFF
THMG
- 0.01
EMPPF

Risk-Adjusted Indicators

There is a big difference between Silver OTC Stock performing well and Silver Mountain OTC Stock 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 Silver Mountain'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
LGCXF  4.55  0.26  0.03  0.74  4.75 
(8.65)
 12.50 
(8.33)
 28.71 
EMPPF  3.22  0.92  0.10 (1.65) 3.20 
(6.79)
 6.90 
(8.33)
 31.00 
ELRFF  7.29  2.02  0.22 (6.12) 6.30 
(10.91)
 17.65 
(10.00)
 50.19 
SMOFF  3.90  0.84  0.13  1.98  3.31 
(7.32)
 7.14 
(6.67)
 29.75 
PGLDF  3.67  1.28  0.29  17.91  2.40 
(6.34)
 10.64 
(4.76)
 28.38 
VIPRF  5.59  0.97  0.13  0.65  6.45 
(6.72)
 12.50 
(12.84)
 36.11 
ADYRF  0.53  0.04  0.00 (0.52) 0.00 
 0.00 
 0.00 
 0.00 
 32.65 
THMG  6.38  1.32  0.22  0.66  5.05 
(9.01)
 17.57 
(11.63)
 48.36 
ATEPF  4.50  0.32  0.02 (0.28) 4.70 
(6.43)
 10.53 
(9.30)
 31.88 
EQTRF  3.59 (0.09) 0.00 (0.01) 0.00 
 0.00 
 6.67 
(6.25)
 30.88 

Silver Mountain Competitive Analysis

The better you understand Silver Mountain competitors, the better chance you have of utilizing it as a position in your portfolios. From an individual investor's perspective, Silver Mountain'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 Silver Mountain'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
AGMRF LGCXF EMPPF ELRFF SMOFF PGLDF VIPRF ADYRF THMG ATEPF
 9.89 
 3.00 
Silver
 6.67 
 0.16 
Lahontan
 6.25 
 0.51 
EMP
 24.49 
 0.61 
Eastern
 4.55 
 0.23 
Sonoro
 2.99 
 0.65 
PGLDF
 3.55 
 1.46 
Silver
 0.00 
 0.17 
Adyton
 2.50 
 0.78 
Thunder
 2.33 
 0.44 
Astra
Market Volatility
(90 Days Market Risk)
Dangerous
Out of control
Out of control
Out of control
Out of control
Abnormally volatile
Abnormally volatile
Out of control
Out of control
Out of control
Market Performance
(90 Days Performance)
Good
Fair
Fair
Solid
Good
Solid
Solid
Weak
Fair
Mild
Odds of Financial Distress
(Probability Of Bankruptcy)
Low
Strong
Average
Small
Low
Low
High
High
Moderate
Strong
Current Valuation
(Equity Enterprise Value)
Over Valued
Over Valued
Over Valued
Over 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)
Strong Sell
Strong Sell
Strong Sell
Strong Sell
Cautious Hold
Cautious Hold
Cautious Hold
Strong Sell
Cautious Hold
Strong Sell
Current Ratio
7.08
48.15
16.9
2.02
1.24
0.65
1.0
1.76
0.7
25.85
Net Asset
16.9 M
1.46 K
17.82 M
162.78 M
6.56 M
8.45 M
3.96 M
15.72 M
2.98 M
169.91 K
Profit Margin
N/A
N/A
N/A
-0.0249
N/A
N/A
N/A
N/A
N/A
N/A
EBITDA
(1.55 M)
(21.23 K)
(1.99 M)
9.96 M
(5.83 M)
(27.23 M)
(8.08 M)
(5.89 M)
(563.31 K)
(183.93 K)
Current Valuation
42.61 M
2.83 M
11.07 M
11.27 M
9.49 M
13.5 M
12.5 M
1.69 M
3.13 M
2.7 M
Price To Book
1.92
0.46
1.23
0.18
2.63
21.96
6.28
0.15
17.03
3.38
Operating Margin
N/A
N/A
N/A
0.0345
N/A
N/A
N/A
455.64
-1.47
N/A
Beta
N/A
N/A
-1.95
1.35
0.44
1.03
1.57
N/A
0.84
N/A
Number Of Employees
5
4
4
21
13
5
1
2
3
4
Shares Outstanding
186.42 M
93.46 M
62.32 M
137.82 M
143.47 M
88.74 M
104.9 M
144.76 M
60.86 M
38.56 M
Cash Flow From Operations
(1.36 M)
(650.3 K)
(1.02 M)
890 K
(5.9 M)
(7.61 M)
(6.98 M)
(2.3 M)
(257.82 K)
(1.67 M)
Total Debt
1.14 M
N/A
N/A
51.34 M
358.95 K
193.72 K
N/A
N/A
28.77 K
N/A
Return On Equity
-0.3
-0.18
-0.11
-0.0255
-1.1
N/A
-0.99
-0.26
-1.34
-9.86
Z Score
20.4
-46.2
N/A
N/A
18.0
36.9
-6.6
N/A
N/A
-3.3
Return On Asset
-0.18
-0.0724
-0.0565
0.0093
-0.53
-2.36
-0.52
-0.14
-0.11
-2.87
Book Value Per Share
0.14
0.16
0.23
0.6
0.036
-0.13
0.027
0.099
0.004
0.038
Total Asset
16.9 M
1.46 K
17.82 M
162.78 M
6.56 M
8.45 M
3.96 M
15.72 M
2.98 M
169.91 K
Debt To Equity
N/A
N/A
N/A
0.62
0.061
N/A
N/A
N/A
0.04
N/A
Shares Owned By Institutions
16.29
5.3
N/A
4.14
N/A
18.42
14.61
N/A
0.01
9.51
Market Capitalization
39.51 M
7.95 M
25.66 M
14.72 M
10.92 M
15.11 M
9.64 M
3.36 M
7.14 M
3.49 M
Price To Earning
N/A
N/A
N/A
13.3
2.02
N/A
N/A
N/A
3.35
N/A
Price To Sales
N/A
N/A
N/A
0.23
N/A
N/A
N/A
0.54
15.6
N/A
Net Income
(2.14 M)
(467.83 K)
(2.37 M)
(1.15 M)
(5.87 M)
(27.39 M)
(8.21 M)
839.23 K
(571.8 K)
(3.99 M)
Earnings Per Share
N/A
-0.008
-0.13
0.01
-0.037
N/A
-0.066
-0.023
-0.018
-0.14
Shares Owned By Insiders
37.87
62.16
0.4
32.65
18.22
24.24
8.3
49.13
30.87
25.81
Revenue
N/A
N/A
N/A
68.2 M
N/A
N/A
N/A
N/A
800 K
N/A
Cash And Equivalents
12.76 M
2.59 M
922.42 K
6.44 M
1.28 M
7.94 M
631.52 K
326 K
886.17 K
2.18 M
Cash Per Share
0.07
0.03
0.02
0.05
0.01
0.1
0.01
N/A
0.01
0.06
Gross Profit
N/A
N/A
N/A
13.3 M
N/A
N/A
N/A
6.93 M
300 K
(197.92 K)
Day Typical Price
2.92
0.16
0.51
0.58
0.23
0.65
1.45
0.17
0.73
0.44
Accumulation Distribution
6025.89
87031.44
N/A
6639.34
239.57
420.31
197.96
N/A
24527.12
302.27
Daily Balance Of Power
0.8438
1.0
9.2 T
1.333333
1.0
(2.00)
0.8333
0.0
(0.13)
1.0
Period Momentum Indicator
0.27
0.01
0.03
0.12
0.01
(0.02)
0.05
N/A
(0.02)
0.01
Rate Of Daily Change
1.1
1.07
1.06
1.24
1.05
0.97
1.04
1.0
0.98
1.02
Day Median Price
2.88
0.16
0.51
0.56
0.23
0.65
1.44
0.17
0.71
0.44
Price Action Indicator
0.25
0.01
0.015
0.1
0.01
(0.01)
0.045
N/A
0.065
0.01
Coefficient Of Variation
1017.34
2146.1
581.15
486.44
592.91
384.49
667.09
7161.97
585.77
2452.15
Mean Deviation
4.88
4.55
3.22
7.29
3.9
3.67
5.59
0.5335
6.38
4.5
Jensen Alpha
0.4733
0.2588
0.9225
2.02
0.8353
1.28
0.9688
0.0356
1.32
0.3196
Total Risk Alpha
(0.19)
(0.54)
0.2195
0.7499
0.2073
0.6505
0.1622
(0.34)
0.3847
(0.54)
Sortino Ratio
0.0951
0.0266
0.0962
0.2178
0.1268
0.2874
0.1335
N/A
0.2216
0.024
Downside Variance
28.08
57.79
65.54
75.47
38.1
17.14
60.56
N/A
42.75
36.6
Standard Deviation
6.19
6.58
5.13
9.71
5.26
4.97
7.63
2.87
9.1
6.12
Kurtosis
(0.35)
0.5853
4.1
2.13
2.02
4.12
0.882
33.36
3.26
1.74
Potential Upside
10.94
12.5
6.9
17.65
7.14
10.64
12.5
N/A
17.57
10.53
Treynor Ratio
0.4507
0.7406
(1.65)
(6.12)
1.98
17.91
0.6485
(0.52)
0.6565
(0.28)
Maximum Drawdown
22.55
28.71
31.0
50.19
29.75
28.38
36.11
32.65
48.36
31.88
Variance
38.27
43.26
26.31
94.3
27.65
24.75
58.15
8.25
82.76
37.42
Market Risk Adjusted Performance
0.4607
0.7506
(1.64)
(6.11)
1.99
17.92
0.6585
(0.51)
0.6665
(0.27)
Risk Adjusted Performance
0.0814
0.0433
0.1356
0.161
0.1331
0.2006
0.1197
0.0177
0.1353
0.0389
Skewness
0.4434
0.5529
0.9186
0.8595
0.8289
1.46
0.1362
1.38
1.45
0.8369
Semi Deviation
4.92
4.75
3.2
6.3
3.31
2.4
6.45
N/A
5.05
4.7
Information Ratio
0.0815
0.0308
0.1518
0.1949
0.1489
0.2392
0.1363
(0.02)
0.1593
0.0238
Value At Risk
(7.82)
(8.33)
(8.33)
(10.00)
(6.67)
(4.76)
(12.84)
N/A
(11.63)
(9.30)
Expected Short fall
(5.79)
(8.65)
(6.79)
(10.91)
(7.32)
(6.34)
(6.72)
N/A
(9.01)
(6.43)
Downside Deviation
5.3
7.6
8.1
8.69
6.17
4.14
7.78
N/A
6.54
6.05
Semi Variance
24.25
22.56
10.25
39.66
10.95
5.78
41.62
N/A
25.47
22.06

Silver Mountain Competition Performance Charts

Five steps to successful analysis of Silver Mountain Competition

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

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Small Blend Funds Theme
Fund or Etfs that invest in stocks of small to mid-sized entities that have characteristics of both growth and value companies. The Small Blend Funds theme has 43 constituents at this time.
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Other Information on Investing in Silver OTC Stock

Silver Mountain financial ratios help investors to determine whether Silver OTC 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 Silver with respect to the benefits of owning Silver Mountain 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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