Ensure you attain financial independence in order to retire comfortably
RETIREMENT planning, in a financial context, refers to the allocation of finances for retirement. This normally means the setting aside of funds in order to obtain a steady income at retirement.
The goal of retirement planning is to achieve financial independence, so that the need to be gainfully employed is optional rather than a necessity.
The process of retirement planning aims to:
Assess readiness-to-retire given a desired retirement age and lifestyle, that is, whether one has enough money to retire;
Identify actions to improve readiness-to-retire;
Acquire financial planning knowledge; and
Encourage saving practices. In recent years, producers such as a financial planner or financial adviser have been available to help clients develop retirement plans, where compensation is either fee-based or commissioned contingent on product sale.
Such arrangement is sometimes viewed as conflicting to a consumer’s interest to have advice rendered without bias or at cost that justifies value.
Consumers can now elect a do it yourself (DIY) approach, given the advent of a large, ever-growing body of resources.
For example, retirement web-tools in the form of simple calculator, mathematical model or decision sup- port system have appeared with greater frequency.
A web- based tool that allows client to fully plan, without human intervention, might be considered a producer.
A key motivation beyond the DIY trend is based on many of the same arguments of a lean manufacturing process, a constructive alteration of the relationship between producer and consumer.
Retirement finances touch upon a motley of distinct subject areas or financial domains of client impor- tance, including investments (that is stocks, bonds, mutual funds); real estate; debt; taxes; cash flow ( income and expense) analysis; insurance; defined benefits ( for example social security, traditional pensions).
From an analytic perspective, each domain can be formally characterised and modelled using a different class (computer science) representation, as defined by a domain’s unique set of attributes and behaviours.
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 (that is constancy or determinism is not assumed).
Together, these factors raise significant challenges to any current producer claim of model predictability or certainty. Some might even adopt fatalism – that a full scope of client issues, nonfinancial included, render the entire problem indeterminate, unsolvable, and meaningless.
The Monte Carlo method is a perhaps the most common form of a mathematical model that is applied to predict long- term investment behaviour for a client’s retirement planning. Its use helps to identify adequacy of a client’s investment to attain retirement readiness and to clarify strategic choices and actions. Yet, the investment domain is only financial domain and therefore is incomplete.
Depending on client context and despite popular press, the investment domain may have little importance in relation to a client’s other domains – for example, a client who is predisposed to the use of real estate as primary source of retirement funding.
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.