ACAFP Competition

Bonds . USA . 
Bond . ACAFP 4125 10 JAN 27
22535WAB3   98.19  0.59  0.60%   
  
Specify up to 10 symbols:
Hype
Prediction
LowEstimatedHigh
97.9998.1998.39
Details
Intrinsic
Valuation
LowRealHigh
98.0898.2898.48
Details
Naive
Forecast
LowNextHigh
98.4598.6598.85
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
97.8398.3998.94
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as ACAFP. Your research has to be compared to or analyzed against ACAFP's peers to derive any actionable benefits. When done correctly, ACAFP'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 ACAFP 4125 10.

ACAFP Competition Correlation Matrix

Typically, diversification allows investors to combine positions across different asset classes to reduce overall portfolio risk. Correlation between ACAFP and its competitors represents the degree of relationship between the price movements of corresponding bonds. A correlation of about +1.0 implies that the price of ACAFP 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 ACAFP 4125 10 does not affect the price movement of the other competitor.
Click cells to compare fundamentals   Check Volatility   Backtest Portfolio
High positive correlations   
BOC
+ 0.84
WPP
WPP
+ 0.77
APAM
BOSC
+ 0.73
APAM
BOC
+ 0.67
APAM
ECPG
+ 0.61
STGW
WPP
+ 0.49
FDVA
  
High negative correlations   
FDVA
- 0.27
ECPG
WPP
- 0.09
ECPG
WPP
- 0.04
STGW
BOC
- 0.0
OGSM
WPP
- 0.0
OGSM
BOSC
- 0.0
OGSM

Risk-Adjusted Indicators

There is a big difference between ACAFP Bond performing well and ACAFP Corporate Bond 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 ACAFP'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.
All Fundamental Data

ACAFP Competitive Analysis

The better you understand ACAFP competitors, the better chance you have of utilizing it as a position in your portfolios. From an individual investor's perspective, ACAFP'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 ACAFP'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
22535WAB3 STGW ECPG FDVA OGSM APAM BOSC WPP BOC
 0.60 
 98.19 
ACAFP
 0.51 
 7.82 
Stagwell
 2.29 
 49.14 
Encore
 0.38 
 10.56 
Freedom
 0.00 
 0.0001 
Organic
 0.51 
 47.70 
Artisan
 1.21 
 3.35 
BOS
 1.73 
 52.37 
WPP
 1.29 
 14.93 
Boston
Market Volatility
(90 Days Market Risk)
Very steady
Somewhat reliable
Very steady
Very steady
Very steady
Very steady
Somewhat reliable
Very steady
Very steady
Market Performance
(90 Days Performance)
Very Weak
Modest
Very Weak
Insignificant
Very Weak
OK
OK
OK
Modest
Odds of Financial Distress
(Probability Of Bankruptcy)
About Average
Below Average
Average
Low
Very High
Low
Very Small
Below Average
Below Average
Current Valuation
(Equity Enterprise Value)
Fairly Valued
Fairly Valued
Under Valued
Fairly Valued
Over Valued
Over Valued
Under Valued
Over Valued
Under Valued
Buy or Sell Advice
(Average Analysts Consensus)
Not Available
Strong Buy
Strong Buy
Not Available
Not Available
Hold
Strong Buy
Hold
Buy
Trade Advice
(90 Days Macroaxis Advice)
Cautious Hold
Cautious Hold
Hold
Cautious Hold
Strong Sell
Buy
Strong Hold
Strong Buy
Hold
Current Ratio
N/A
0.88
13.36
N/A
0.17
1.48
2.06
0.91
2.93
Net Asset
N/A
3.77 B
4.63 B
876.67 M
180.81 K
1.41 B
32.48 M
26.62 B
801.88 M
Profit Margin
N/A
1.0E-4
-0.14
0.29
-1.46
0.24
0.049
0.0137
-0.0973
EBITDA
N/A
324.54 M
315.2 M
N/A
(582.44 K)
312.94 M
2.96 M
1.91 B
17.27 M
Operating Margin
N/A
0.0595
0.29
0.37
-1.47
0.33
0.078
0.0585
-0.0268
Current Valuation
N/A
2.5 B
4.47 B
69.12 M
1.19 M
3.37 B
18.96 M
18.12 B
505.94 M
Price To Book
N/A
3.05
1.11
1.46
N/A
8.98
0.96
2.57
0.89
Retained Earnings
N/A
21.15 M
1.05 B
1.44 M
(7.83 M)
132.13 M
(67.13 M)
3.49 B
15.67 M
Current Asset
N/A
N/A
570.15 M
N/A
223 K
234.61 M
11.91 M
73.54 M
N/A
Five Year Return
N/A
N/A
N/A
N/A
N/A
8.1
N/A
4.75
N/A
Beta
N/A
1.61
1.56
0.58
-0.73
1.79
0.85
1.1
0.8
Number Of Employees
N/A
10.25 K
7.4 K
10
5
573
83
111 K
439
Shares Outstanding
N/A
111.55 M
23.69 M
6.61 M
13.86 M
70.07 M
5.76 M
215.61 M
30.85 M
Cash Flow From Operations
N/A
81.01 M
152.99 M
46.42 M
(394.61 K)
253.03 M
1.83 M
1.24 B
16.06 M
Annual Yield
N/A
N/A
N/A
N/A
N/A
0.0591
N/A
0.048
N/A
Total Debt
N/A
1.49 B
3.32 B
80.71 M
N/A
312.66 M
2.31 M
6.88 B
88.86 M
Return On Equity
N/A
0.0728
-0.16
0.13
N/A
0.57
0.1
0.0733
-0.0128
Z Score
N/A
N/A
N/A
0.6
-76.3
N/A
N/A
N/A
N/A
Return On Asset
N/A
0.0201
0.0425
0.0114
-1.9
0.14
0.0456
0.0153
-0.0079
Number Of Shares Shorted
N/A
4.1 M
2.1 M
N/A
N/A
2.71 M
28.35 K
195.21 K
1.09 M
Book Value Per Share
N/A
2.59
44.24
10.43
-0.08
5.31
3.5
3.25
16.82
Current Liabilities
N/A
N/A
294.24 M
N/A
1.33 M
629.98 M
6.67 M
72.93 M
N/A
Total Asset
N/A
3.77 B
4.63 B
876.67 M
180.81 K
1.41 B
32.48 M
26.62 B
801.88 M
Debt To Equity
N/A
1.96
2.3
N/A
N/A
0.86
0.1
1.65
0.18
Short Ratio
N/A
10.4
16.61
N/A
N/A
7.08
4.53
1.98
12.88
Target Price
N/A
8.66
62.25
9.0
N/A
44.25
5.0
45.5
21.5
Last Dividend Paid
N/A
N/A
N/A
N/A
N/A
2.82
N/A
0.39
N/A
Shares Owned By Institutions
N/A
96.02
97.08
N/A
N/A
91.0
17.06
10.5
65.43
Market Capitalization
N/A
2.06 B
1.16 B
107.4 M
6.93 K
3.34 B
19.3 M
11.29 B
468.41 M
Price To Earning
N/A
239.0
7.43
11.9
-1.22
8.34
20.83
16.11
11.44
Price To Earnings To Growth
N/A
1.98
0.17
N/A
N/A
1.38
N/A
2.61
N/A
Price To Sales
N/A
0.76
0.88
2.9
0.0174
3.14
0.48
0.76
4.46
Net Income
N/A
134 K
(206.49 M)
10.73 M
(693.76 K)
311.8 M
2 M
197.2 M
(7 M)
Earnings Per Share
N/A
N/A
-7.83
1.42
-0.041
3.6
0.33
1.17
-0.33
Shares Owned By Insiders
N/A
4.18
2.92
N/A
N/A
2.58
14.16
N/A
4.5
Revenue
N/A
2.53 B
1.22 B
37.1 M
224.68 K
975.13 M
44.18 M
14.84 B
96.25 M
Working Capital
N/A
(349.26 M)
(480.49 M)
N/A
(1.1 M)
(119.87 M)
9.38 M
(2.31 B)
80 M
Cash And Equivalents
N/A
93.4 M
172.95 M
27.21 M
42.61 K
163.29 M
1.12 M
2.49 B
33.64 M
Cash Per Share
N/A
0.71
7.24
3.72
N/A
2.42
0.2
7.96
3.72
Gross Profit
N/A
1.01 B
1.4 B
36.04 M
93.59 K
483.3 M
9.06 M
2.54 B
10.59 M
Day Typical Price
98.19
7.84
48.96
10.57
1.0E-4
47.83
3.32
52.2
14.89
Accumulation Distribution
N/A
0.0139
0.0257
0.0038
N/A
0.0137
0.0299
0.012
0.0246
Market Facilitation Index
N/A
0.11
1.27
0.04
N/A
0.66
0.1
0.63
0.37
Daily Balance Of Power
(9,223,372,036,855)
(0.36)
0.8661
(1.00)
0.0
0.3636
0.4
1.412698
0.5135
Period Momentum Indicator
(0.59)
(0.04)
1.1
(0.04)
N/A
0.24
0.04
0.89
0.19
Rate Of Daily Change
0.99
0.99
1.02
1.0
1.0
1.01
1.01
1.02
1.01
Day Median Price
98.19
7.85
48.86
10.58
1.0E-4
47.9
3.3
52.11
14.88
Price Action Indicator
(0.30)
(0.04)
0.83
(0.04)
N/A
(0.08)
0.07
0.7
0.15
Relative Strength Index
37.33
66.57
67.77
59.3
N/A
66.13
50.68
71.37
67.86
Coefficient Of Variation
811.74
1123.22
8630.14
1898.76
N/A
701.16
929.38
706.11
860.98
Mean Deviation
0.1501
1.92
1.37
0.6785
N/A
1.36
1.19
1.14
1.1
Jensen Alpha
0.011
(0.03)
(0.15)
0.0323
N/A
0.0342
0.1584
0.1313
0.0196
Total Risk Alpha
(0.02)
(0.17)
(0.27)
(0.13)
N/A
(0.04)
(0.09)
(0.04)
(0.07)
Sortino Ratio
(0.49)
0.035
(0.07)
(0.05)
N/A
0.0742
0.0227
0.0682
0.025
Downside Variance
0.0473
5.61
2.44
1.91
N/A
3.11
2.92
1.88
2.62
Standard Deviation
0.2037
2.4
1.81
1.11
N/A
1.83
1.57
1.58
1.47
Kurtosis
1.4
0.1607
0.9131
3.81
N/A
3.23
0.5439
2.82
1.52
Potential Upside
0.3707
3.76
3.27
2.24
N/A
2.52
2.55
2.12
1.91
Treynor Ratio
0.4481
0.107
0.0083
0.3594
N/A
0.1398
17.92
0.3123
0.1375
Maximum Drawdown
0.9788
9.83
9.26
7.21
N/A
12.25
6.11
8.8
8.78
Variance
0.0415
5.76
3.29
1.24
N/A
3.37
2.48
2.51
2.17
Market Risk Adjusted Performance
0.4581
0.117
0.0183
0.3694
N/A
0.1498
17.93
0.3223
0.1475
Risk Adjusted Performance
0.0668
0.0751
0.0147
0.0435
N/A
0.1152
0.0877
0.1138
0.0939
Skewness
(0.32)
0.1565
0.6547
(0.41)
N/A
0.5714
(0.12)
0.9166
(0.23)
Semi Deviation
0.1122
2.13
1.53
0.9204
N/A
1.59
1.37
1.13
1.5
Information Ratio
(0.52)
0.0345
(0.06)
(0.06)
N/A
0.0713
0.0246
0.059
0.0275
Value At Risk
(0.38)
(3.72)
(2.42)
(1.40)
N/A
(2.47)
(2.37)
(1.96)
(2.39)
Expected Short fall
(0.16)
(2.13)
(1.58)
(1.03)
N/A
(1.47)
(1.44)
(1.25)
(1.10)
Downside Deviation
0.2175
2.37
1.56
1.38
N/A
1.76
1.71
1.37
1.62
Semi Variance
0.0126
4.54
2.35
0.8471
N/A
2.52
1.88
1.27
2.25

ACAFP Competition Performance Charts

Five steps to successful analysis of ACAFP Competition

ACAFP'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 ACAFP 4125 10 in relation to its competition. ACAFP's competition analysis typically involves several steps, including:
  • Identifying the key players in the market: This involves identifying the major competitors of ACAFP 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 ACAFP's competitive landscape.
  • Identifying opportunities and threats: This involves using the information gathered during the analysis to identify opportunities and threats to ACAFP 4125 10, 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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Other Information on Investing in ACAFP Bond

ACAFP financial ratios help investors to determine whether ACAFP Bond 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 ACAFP with respect to the benefits of owning ACAFP 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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