Written by nkok on 2015년 November 27일 in 미분류

Retirement planning, in a financial context, refers to the allocation of savings or revenue for retirement. The goal of retirement planning is to achieve financial independence.

The process of retirement planning aims to:

  • Assess readiness-to-retire given a desired retirement age and lifestyle, i.e., whether one has enough money to retire
  • Identify actions to improve readiness-to-retire
  • Acquire financial planning knowledge
  • Encourage saving practices

Producers such as a financial planner or financial adviser can help clients develop retirement plans, where compensation is either fee-based or commissioned contingent on product sale. Such an arrangement is sometimes viewed as in conflict with a consumer’s interest, and that the advice rendered cannot be without bias, or at a cost that justifies its value. Consumers can now elect a do it yourself (DIY) approach. For example, retirement web-tools in the form of a calculator, mathematical model or decision support system are available online. A web-based tool that allows client to fully plan, without human intervention, might be considered a producer. Key motivations of the DIY trend are many of the same arguments for lean manufacturing, a constructive alteration of the relationship between producer and consumer.

Retirement finances touch upon distinct subject areas or financial domains of client importance, including: investments (i.e., stocks, bonds, mutual funds); real estate; debt; taxes; cash flow (income and expense) analysis; insurance; defined benefits (e.g., social security, traditional pensions). From an analytic perspective, each domain can be formally characterized and modeled using a different class representation, as defined by a domain’s unique set of attributes and behaviors. Domain models require definition only at a level of abstraction necessary for decision analysis. Since planning is about the future, domains need to extend beyond current state description and address

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uncertainty, volatility, change dynamics (i.e., constancy or determinism is not assumed). Together, these factors raise significant challenges to any current

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producer claim of model predictability or certainty.

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