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COMPARTMENTAL RISK SUITE
 

LYSCALE RISKGRADE

COMPARTMENTAL RISK SUITE

[AVIATION, INSURANCE, MARITIME, OIL MARKET]

 AVIATIONINSURANCEMARITIMEOIL MARKETCOMPRISK
Timeline18.1018.1918.2218.2618.50
1     
2RM02    
3     
4 RM04   
5    RM05
6  RM06  
7     
8     
9     
10   RM10 
11     
12     
13     
14     
15     
16     
17     
18     
19     
20     
 
DAILY UPDATE:
The compartmental Risk Composite index reaches RM05 induced by unsustainable Oil Market Risk Incidence aiming to limit output in the medium-term. Political Risk is the Middle East is still artificially high at RM 18 with cyclical downturns.
 
 
Aviation Risk
This risk defines the economic dimension of the risk spectrum embedded within the Global Insurance Market and its closely affiliated sectors and related industries’ operations evolving on the Optimal Risk Line and taking an infinite number of risk factors into account. On Lyscale, the ascending risk magnitudes depicts a corresponding ascending parameters of the Risk Spectra by gradual increments as determined by the trade-offs occurring between the Logarithmic and Exponential plots alongside the Risk Optimal Line and contingent to the evolution of the Risk Budget Lines (Risk Magnitudes). Therefore, the economic dimension of the Global or given Insurance Risk will be accordingly commensurate with these variables and is relative to the individuals classes of Risk basket contained within its parameterization (Compartmental Risk Parameter). The given magnitude of the Insurance Risk per se influences other risk magnitudes of the same class of risk components. For example, exhaustive calibrations show that if Insurance Risk is positively correlated with, say, Maritime and Aviation Risks, the effects of the Logarithmic and Exponential trade-offs depict negative correlations with, say, Oil Market Risk on the outward demand-side element of the entity dynamics. Outside the parameterization of Compartmental Risk, Insurance Risk has a number of astonishing correlations of epic magnitudes within factors affecting the Conceptual Classes of Risks. 
Insurance Risk
This risk defines the economic dimension of the risk spectrum embedded within the Global Insurance Market and its closely affiliated sectors and related industries’ operations evolving on the Optimal Risk Line and taking an infinite number of risk factors into account. On Lyscale, the ascending risk magnitudes depicts a corresponding ascending parameters of the Risk Spectra by gradual increments as determined by the trade-offs occurring between the Logarithmic and Exponential plots alongside the Risk Optimal Line and contingent to the evolution of the Risk Budget Lines (Risk Magnitudes). Therefore, the economic dimension of the Global or given Insurance Risk will be accordingly commensurate with these variables and is relative to the individuals classes of Risk basket contained within its parameterization (Compartmental Risk Parameter). The given magnitude of the Insurance Risk per se influences other risk magnitudes of the same class of risk components. For example, exhaustive calibrations show that if Insurance Risk is positively correlated with, say, Maritime and Aviation Risks, the effects of the Logarithmic and Exponential trade-offs depict negative correlations with, say, Oil Market Risk on the outward demand-side element of the entity dynamics. Outside the parameterization of Compartmental Risk, Insurance Risk has a number of astonishing correlations of epic magnitudes within factors affecting the Conceptual Classes of Risks. 
Maritime Risk
This risk defines the economic dimension of the risk spectrum embedded within the Global Insurance Market and its closely affiliated sectors and related industries’ operations evolving on the Optimal Risk Line and taking an infinite number of risk factors into account. On Lyscale, the ascending risk magnitudes depicts a corresponding ascending parameters of the Risk Spectra by gradual increments as determined by the trade-offs occurring between the Logarithmic and Exponential plots alongside the Risk Optimal Line and contingent to the evolution of the Risk Budget Lines (Risk Magnitudes). Therefore, the economic dimension of the Global or given Insurance Risk will be accordingly commensurate with these variables and is relative to the individuals classes of Risk basket contained within its parameterization (Compartmental Risk Parameter). The given magnitude of the Insurance Risk per se influences other risk magnitudes of the same class of risk components. For example, exhaustive calibrations show that if Insurance Risk is positively correlated with, say, Maritime and Aviation Risks, the effects of the Logarithmic and Exponential trade-offs depict negative correlations with, say, Oil Market Risk on the outward demand-side element of the entity dynamics. Outside the parameterization of Compartmental Risk, Insurance Risk has a number of astonishing correlations of epic magnitudes within factors affecting the Conceptual Classes of Risks. 
Oil Market Risk
This risk defines the economic dimension of the risk spectrum embedded within the Global Oil Market and its closely affiliated sectors and related industries’ operations evolving on the Optimal Risk Line and taking an infinite number of risk factors into account. On Lyscale, the ascending risk magnitudes depicts a corresponding ascending parameters of the Risk Spectra by gradual increments as determined by the trade-offs occurring between the Logarithmic and Exponential plots alongside the Risk Optimal Line and contingent to the evolution of the Risk Budget Lines (Risk Magnitudes). Therefore, the economic dimension of the Global or given Insurance Risk will be accordingly commensurate with these variables and is relative to the individuals classes of Risk basket contained within its parameterization (Compartmental Risk Parameter). The given magnitude of the Insurance Risk per se influences other risk magnitudes of the same class of risk components. For example, exhaustive calibrations show that if Insurance Risk is positively correlated with, say, Maritime and Aviation Risks, the effects of the Logarithmic and Exponential trade-offs depict negative correlations with, say, Oil Market Risk on the outward demand-side element of the entity dynamics. Outside the parameterization of Compartmental Risk, Insurance Risk has a number of astonishing correlations of epic magnitudes within factors affecting the Conceptual Classes of Risks. 
COMPRISK COMPOSITE RGS