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An application: A Client Financial Risk Tolerance Model

An application : A Client Financial Risk Tolerance Model

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Page 1: An  application :  A  Client Financial  Risk  Tolerance  Model

An application: A Client Financial Risk Tolerance

Model

Page 2: An  application :  A  Client Financial  Risk  Tolerance  Model

Financial service institutions face a difficult task in evaluating clients risk tolerance. It is a major component for the design of an investment policy and understanding the implication of possible investment options in terms of safety and suitability.

Here we present a simple model of client's risk tolerance ability which depends on his/hers annual income (AI) and total networth (TNW).

The control objective of the client financial risk tolerance policy model is for any given pair of input variables (annual income, total networth) to and a corresponding output, a risk tolerance (RT) level.

A Client Financial Risk Tolerance Model

Page 3: An  application :  A  Client Financial  Risk  Tolerance  Model

A Client Financial Risk Tolerance Model

Suppose the financial experts agree to describe the input variables annual income and total networth and the output variable risk tolerance by the sets,

Page 4: An  application :  A  Client Financial  Risk  Tolerance  Model

A Client Financial Risk Tolerance Model

The terms of the linguistic variables annual income, total networth, and risk tolerance described by triangular and part of trapezoidal numbers formally have the same membership functions presented analytically below,

Page 5: An  application :  A  Client Financial  Risk  Tolerance  Model

A Client Financial Risk Tolerance Model

Terms of the input annual income Terms of the input total networth

Terms of the output risk tolerance

Page 6: An  application :  A  Client Financial  Risk  Tolerance  Model

A Client Financial Risk Tolerance Model

Assume that the financial experts selected the rules presented on the decision table

If : : : and : : : then Rules

Page 7: An  application :  A  Client Financial  Risk  Tolerance  Model

A Client Financial Risk Tolerance Model

Rule 1: If client's annual income (CAI) is low (L) and client's total networth (CTN) is low (L), then client's risk tolerance (CRT) is low (L);Rule 2: If CAI is L and CTN is medium (M), then CRT is L;Rule 3: If CAI is L and CTN is high (H), then CRT is moderate (MO);Rule 4: If CAI is M and CTN is L, then CRT is L;Rule 5: If CAI is M and CTN is M, then CRT is MO;Rule 6: If CAI is M and CTN is H, then CRT is H;Rule 7: If CAI is H and CTN is L, then CRT is MO;Rule 8: If CAI is H and CTN is M, then CRT is H;Rule 9: If CAI is H and CTN is H, then CRT is H.

If : : : and : : : then Rules

Page 8: An  application :  A  Client Financial  Risk  Tolerance  Model

A Client Financial Risk Tolerance Model

assuming readings: x0 = 40 in thousands (annual income) and y0 = 25 in ten of thousands (totalnetworth). They are matched against the appropriate terms.The fuzzy inputs are calculated. Note that x = 40 and y = 25 are substituted for v instead of 40,000 and 250,000 since x and y are measured in thousands and ten of thousands. The result is

Fuzzification

Page 9: An  application :  A  Client Financial  Risk  Tolerance  Model

A Client Financial Risk Tolerance Model

Fuzzy reading inputs for the clients financial risk tolerance model. Readings: x0 = 40 and y0 = 25

Fuzzificaiton

Page 10: An  application :  A  Client Financial  Risk  Tolerance  Model

A Client Financial Risk Tolerance Model

Induced decision table for the clients financial risk tolerance model.

Fuzzy Operations

There are four active rules, 1,2,4,5

Rule 1: If client's annual income (CAI) is low (L) and client's total networth (CTN) is low (L), then client's risk tolerance (CRT) is low (L);Rule 2: If CAI is L and CTN is medium (M), then CRT is L;Rule 4: If CAI is M and CTN is L, then CRT is L;Rule 5: If CAI is M and CTN is M, then CRT is MO;

Page 11: An  application :  A  Client Financial  Risk  Tolerance  Model

A Client Financial Risk Tolerance Model

The strength of these rules or level of firing (the and part) is calculated as follows

Multiple conjuctive antecedents

Page 12: An  application :  A  Client Financial  Risk  Tolerance  Model

A Client Financial Risk Tolerance Model

Firing of rules for the client nancial risk tolerance model

Page 13: An  application :  A  Client Financial  Risk  Tolerance  Model

A Client Financial Risk Tolerance Model

Geometrically this means that we have to superimpose trapezoids on top of one another in the same coordinate system.

Aggregation of Fuzzy Rules

Aggregated output for the client financial risk tolerance model

Page 14: An  application :  A  Client Financial  Risk  Tolerance  Model

A Client Financial Risk Tolerance Model

The aggregated output for the client financial risk tolerance model can be defuzzified by the defuzzification methods.

Defuzzificaton