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:[1]

  • 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

Obtaining a financial plan

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; see Professional certification in financial services. 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.

A good retirement plan should consider:[2]

  • What lifestyle the person seeks to achieve in retirement: their needs and wants
  • A projection of all significant assets, liabilities, incomes and spending at the household level (including social security pensions)
  • The person's ability to save for retirement while working, and an assessment of whether this will indeed be enough to cover their needs
  • All issues that will have a material impact on future outcomes - to allow informed decisions to be made e.g. the person's chosen retirement age
  • The potential variability of future unknowns such as investment returns, inflation rates and the lifespan of each spouse
  • The link between health, lifestyle factors and life expectancy. Lifespan assessments should be appropriate for the retiree and allow for longevity improvement trends

Personal planning

  • Preparing working environment.
  • Prepare mentally and plan to involve in hobbies and develop new interests to be engaged with retirement life.
  • Plan and prepare for the transition impact of retirement with home life.
  • Plan how active you want to be when you reach retirement age, engage in part-time, contract work or in activities that doesn't overextend oneself.
  • Stay connected with the community.
  • Learning to appreciate leisure, moderating work-life balance and to say no without regrets.

[3]

Modeling and limitations

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).

There is often a complex interaction between the things that the person can control over time (like their investment mix, saving level while working, spending level in retirement and, to an extent, the timing of retirement and part time work undertaken) and things that are outside their control (like market performance, inflation, tax and social security rules and the length of their lifespan). [4]

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 uncertainty, volatility, change dynamics (i.e., constancy or determinism is not assumed). Together, these factors raise significant challenges to any current producer claim of model predictability or certainty. Volatility in investment markets raises questions for everyone, participants, and fiduciaries alike. With the growth of 401(k) and other individual account retirement plans, many participants are responsible for investing their retirement savings. [5]

Stochastic modelling

Retirees often face significant financial risk in retirement (unless they have guaranteed products like defined benefit pensions or lifetime annuities). Each individual doesn’t know how long they will live or what sequence of market returns they will experience in retirement.

Ideally, retirement models should calculate the probability of achieving the person’s required living standard for as long as they live, and calculate the probability of achieving various other goals. Quantitative specialists and actuaries will fit a statistical distribution to key random variables that impact results - such as market returns, human lifespans and inflation rates. These can be used to generate probability weighted scenarios of what a retiree could experience over the decades in retirement.

The Monte Carlo method is a common form of a mathematical model that is applied to predict long-term investment behavior for a client's retirement planning.[6] Its use helps to identify adequacy of client's investment to attain retirement readiness and to clarify strategic choices and actions. It's important to note the investment domain is only a financial domain and therefore is incomplete on its own. Depending on client context, the investment domain may have very little importance in relation to a client's other domains—e.g., a client who receives a guaranteed annuity or social security pension.

Modern retirement models are starting to applying similar techniques at household level too – projecting all significant assets, liabilities, and incomes of the household and stress testing a full range of market sequences and lifespan scenarios (for each spouse).[7] The approach can deal with the complex interdependencies between subject areas (domains) mentioned above as well as tax and legislative provisions.

Other models

Contemporary retirement planning models have yet to be validated in the sense that the models purport to project a future that has yet to manifest itself. The criticism with contemporary models are some of the same levied against Neoclassical economics. The critic argues that contemporary models may only have proven validity retrospectively, whereas it is the indeterminate future that needs solution. A more moderate school believes that retirement planning methods must further evolve by adopting a more robust and integrated set of tools from the field of complexity science. Recent research has explored the effects of the elimination of capital income taxes on saving-for-retirement opportunities and its impact on government debt.[8]

See also

References

  1. ↑ Hershey, Douglas A.; Jacobs-Lawson, Joy M.; McArdle, John J.; Hamagami, Fumiaki (2007). "Psychological Foundations of Financial Planning for Retirement". Journal of Adult Development. 14 (1–2): 26–36. doi:10.1007/s10804-007-9028-1. S2CID 143157387.
  2. ↑ "10 Good Practice Principles for Retirement Modelling" (PDF).
  3. ↑ "Archived copy" (PDF). Archived from the original (PDF) on July 29, 2012. Retrieved July 17, 2016.{{cite web}}: CS1 maint: archived copy as title (link)
  4. ↑ "Good Practice Principles for Retirement Modelling | Actuaries Institute" (PDF).
  5. ↑ "Retirement Plans: How to Prepare & Protect Your Investment Accounts | HORAN".
  6. ↑ Guest (January 14, 2016). "Planning Your Retirement Using The Monte Carlo Simulation".
  7. ↑ "Stochastic Modelling at Household Level". Jubilacion. Retrieved March 15, 2023.
  8. ↑ Federal Reserve Bank of Minneapolis, "On Efficiently Financing Retirement", November 2011.
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