Risk management is a vital process in finance, focusing on identifying potential threats to assets, including human capital, and devising strategies to mitigate these risks. The process comprises five key components: Monitor, Identify, Respond (Mitigate, Avoid, Transfer, Retain), Measure, and Evaluate. These components are structured within an asset-liability or surplus management (ALM) framework.
The ALM framework revolves around the concept of surplus, the difference between assets and liabilities, similar to shareholders’ equity in a corporate balance sheet. For instance, a family’s extended balance sheet, detailing the sizes of assets and corresponding liabilities, aids in identifying and assessing various risk exposures.
The size of the surplus significantly impacts financial flexibility, facilitating better management of current and future financial conditions. For example, a larger surplus offers more investment options and the potential for higher-risk allocations. On the other hand, a smaller surplus necessitates a more cautious approach, emphasizing liability reduction and maintaining a safety net.
In risk management, the initial instinct might be to eradicate any identified risk. However, a more systematic approach involves assessing the characteristics of each risk exposure before deciding on an appropriate response. This assessment usually focuses on the probability and the probability-weighted impact of the risk. An individual might decide to lessen the impact of a potential loss, a strategy known as loss control, which aims to avoid or lessen the expected losses. There are two main strategies associated with high-probability losses: Risk Avoidance and Risk Mitigation.
These strategies are used to manage potential financial risks that may occur infrequently but can have significant impacts.
Risk Transfer is a strategy that involves shifting potential risks from an individual or entity to another party, typically an insurance company. This can also be achieved through non-insurance risk transfers, such as contracts.
Risk Acceptance or Retention is a strategy where an individual or entity decides to accept and manage the risk themselves. This decision is often influenced by the individual’s or entity’s financial ability and risk tolerance.
Another approach to managing low-probability losses is through Risk Avoidance and Mitigation. This involves taking proactive steps to prevent or reduce the impact of potential risks. An example of this strategy is installing a high-quality fire-rated roof to reduce the risk of fire damage. However, the cost of such a measure needs to be weighed against the potential benefits.
Human capital is not only a dominant component in the early stages of an individual’s career but also throughout their career. This is particularly evident when considering entrepreneurship and private businesses as sources of human capital. For instance, a successful entrepreneur like Elon Musk’s human capital often surpasses financial capital, not just in the early career stage but also well through the capital accumulation phase.
The value of human capital is dependent not only on the magnitude of a client’s current and expected earnings stream but also on defining characteristics such as education, skills, and experience.
One of the significant risks to human capital is employment risk. This risk is inherent in the fact that human capital is a dominant component of many individuals’ balance sheets throughout their careers. For example, a sudden job loss can significantly impact an individual’s financial stability.
This involves identifying and managing key characteristics of human capital, namely Earnings Volatility, Earnings Correlation, and Replaceability.
Generally, an increase in employment risks in human capital leads to a decrease in risk tolerance in financial capital.
Earnings streams can be classified as either equity-like or bond-like. For instance, the earnings of a tech startup founder, which are volatile, have a high correlation with market returns, and are difficult to replace, are similar to equities. Conversely, the earnings of a government employee, which are stable and predictable, are more similar to bonds.
This distinction is crucial for financial capital allocation. Entrepreneurs, facing multiple risks to their human capital, should balance these risks with a more conservative portfolio. On the other hand, a tenured university professor, with bond-like human capital, can afford to take more risks with their financial capital.
Apart from these, there are other risks to human capital such as mortality and health risks
Mortality Risk pertains to the potential financial repercussions that may arise due to the untimely demise of an individual. This risk is especially significant during the early stages of one’s career and after acquiring marketable skills. The financial burden of mortality risk is typically shouldered by the surviving family members, who may also have to grapple with additional responsibilities and emotional turmoil.
Mortality risk is not confined to wage earners alone. Non-wage earners, such as primary caregivers, also confront mortality risk to their human capital. The death of a primary caregiver can result in a void in household services that would need to be filled. Moreover, death can also incur expenses related to funerals, transitions, and estate settlements. If the primary wage earner passes away, the surviving spouse may need to pursue training or education unless there is adequate insurance coverage.
Life expectancy, a crucial factor in evaluating mortality risk, has witnessed significant shifts over time. For example, in the United States, the median survival age escalated from approximately 60 years in 1900 to nearly 80 years a century later.
However, while life expectancy has increased, health spans, or the period of a lifespan free from disease or disability, have not kept pace. This discrepancy necessitates an increased need for retirement savings.
Various health risks such as smoking, lack of exercise, cardiovascular disease, obesity, and diabetes significantly affect expected mortality and, consequently, the value of human capital. The mortality rate differential between smoking statuses and biological sex difference is also highlighted. Women generally have lower mortality rates than men of the same age, and the risk of death increases with age and is higher for smokers than non-smokers.
Wealth managers can use this information to refine standard mortality tables by incorporating their clients’ health histories and familial longevity. This allows for a better estimation of human capital value and associated risks.
Longevity risk is a financial risk that arises when an individual outlives their financial resources. This risk is particularly significant in the context of retirement planning, where the income may become limited and the possibility of depleting financial capital before death becomes a real concern.
Several factors contribute to longevity risk, including:
Longevity risk is a significant issue for the mass affluent population as it can lead to financial difficulties in old age due to insufficient income replacement and rising healthcare costs. Uncertain lifespans create unpredictable investment and withdrawal timeframes in retirement, which carry multiple implications.
There are challenges associated with retirement and pension plans, including insufficient incomes and savings, inadequate accounting for inflation, underfunding of pension systems, private funding of healthcare expenses, longevity risk, and spending patterns.
Even in countries like Sweden, known for its generous pension benefits and affordable healthcare, retirees may struggle to maintain their desired lifestyle due to insufficient income. The situation can be exacerbated by inadequate savings, as seen in the US where the average retirement savings is only $60,000.
Many pension plans, such as those in the UK, do not fully account for inflation, either ignoring it, partially adjusting for it, or delaying inflation-related adjustments.
The potential underfunding of pension systems, as seen in the US where the Social Security trust fund is projected to be depleted by 2034, raises concerns about their reliability for future payments. HNWIs and ultra-high net worth individuals (UHNWIs) in countries like India often choose to privately fund their healthcare expenses through their assets, bypassing their nation’s public healthcare system.
Longevity risk and retirement sustainability are less significant concerns for HNWIs and UHNWIs, as they typically have more resources to draw upon compared to the mass affluent.
As individuals age, their spending patterns diverge from the consumption baskets used for pension indexing, as seen in Japan where the elderly spend more on healthcare and less on food. This discrepancy can affect how well retirees are protected from inflation, making reliance on pensions inherently risky.
Retirement needs analysis can be performed using various methods, one of which involves multiplying the desired annual retirement spending by the inverse of a sustainable withdrawal rate. This method is particularly beneficial for individuals or couples who do not intend to transfer wealth to their offspring.
The amount that can be spent from the retirement portfolio without exhausting the resources before the retiree’s demise depends on their discretionary and non-discretionary expenses. Studies suggest that a sustainable annual spending rate lies between 3.5% and 6% of the initial portfolio value, assuming that the spending increases by the inflation rate in the subsequent years. This spending rate translates into retirement savings that are approximately 17–29 times the annual spending for retirees. However, those who retire later or have shorter life expectancies may not require such a large retirement fund.
Retirement needs analysis using mortality tables is a method used to calculate expected future cash flows. This is achieved by multiplying each future cash flow needed by the probability that such cash flow will be needed, also known as the survival probability. For spouses, the survival probability in a given year is a joint probability that either the husband or the wife survives. This is calculated using the formula:
$$ \begin{align*} p(\text{Survival}) & = p(\text{Husband survives}) + p(\text{Wife survives}) \\ & – p(\text{Husband survives}) \times p(\text{Wife survives}) \end{align*} $$.
This assumes that the chances of survival for the husband and wife are independent of each other.
The present value of the spending need is calculated using:
$$PV (\text{Spending need}) = \sum_{j=1}^{N} \frac{p(\text{Survival}_j) \times \text{Spending}_j}{(1 + r)^j}$$
The numerator in this equation is the expected cash flow in year j, which is the probability of surviving until that year times the spending in that year should the person survive.
Giovanni and Maria Rossi live in Italy and are 65 and 62 years old, respectively. Their survival probabilities based on their current ages are listed in the table below. They would like to maintain annual spending of €30,000 on an inflation-adjusted basis. Inflation is expected to be 2%, and the nominal risk-free rate is 4%.
$$ \begin{array}{c|c|c|c|c}
\textbf{Year} & \textbf{Age} & \textbf{p(Survival} & \textbf{Age} & \textbf{p(Survival} \\
& \textbf{(Giovanni)} & {\ \textbf{ Giovanni)}} & \textbf{(Maria)} & \textbf{ Maria)} \\ \hline
1 & 66 & 0.990 & 63 & 0.995 \\ \hline
2 & 67 & 0.980 & 64 & 0.985 \\ \hline
3 & 68 & 0.970 & 65 & 0.975
\end{array} $$
The joint survival probability for each year is calculated as follows:
Next, we need to calculate the present value of the spending needs. The annual spending is €30,000, adjusted for inflation each year.
The present value of the spending needs is calculated using the formula:
$$PV (\text{Spending need}) = \sum_{j=1}^{N} \frac{p(\text{Survival}_j) \times \text{Spending}_j}{(1 + 0.04)^j}$$
Calculating the present value for each year:
The total present value of the spending needs over the next three years is:
$$PV = €28,837.50 + €28,148.82 + €27,502.21 = €84,488.53$$
Giovanni and Maria need to have approximately €84,488.53 in present value terms to cover their expected spending needs over the next three years, considering their survival probabilities, inflation, and the nominal risk-free rate.
Anticipating retirement spending patterns can be influenced by a number of factors such as inflation, large one-off expenses, and shifts in spending from one area to another. For instance, a retiree might have to bear a sudden medical expense or decide to invest in a vacation home.
Certain expenditures, such as groceries or utilities, will reflect the impact of inflation and increase over time. However, some expenses, like the purchase of a vacation home or financial support to a child for higher education, may not increase with inflation.
As individuals age, there is often a shift in spending from travel costs to healthcare costs. These two categories have different inflation rates, which can significantly impact the spending patterns during retirement.
A comprehensive analysis of retirement spending requires a Monte Carlo simulation. This simulation takes into account various underlying factors such as health status, spending aspirations during retirement, and support for children and charities.
The spending analysis can be refined by adjusting each year’s estimated expenses based on the survival probability of each spouse. For instance, if one spouse passes away, the financial needs of the surviving spouse could change, necessitating a recalibration of the spending plan.
Some economists estimate that maintaining a lifestyle for two costs 1.6 times that of one person. Using this figure, if one spouse passes away, the surviving spouse could sustain the same standard of living with 62.5% of their joint spending.
When planning for future spending needs, these are typically discounted at the real risk-free rate. This approach aligns with the risk profile of these cash flows, which are not likely to be influenced by market risk factors. This is akin to a standard asset pricing model where their beta is set to zero. For instance, planning for retirement expenses would involve discounting future costs at the real risk-free rate.
Non-systematic mortality risk, which is non-diversifiable, can be effectively managed with life insurance. This makes discounting spending needs at the risk-free rate a suitable approach. For example, a life insurance policy can hedge against the risk of premature death and ensure financial stability for dependents.
Discounting spending needs using the expected return of assets is not recommended. This is because the risk associated with spending needs is distinct from the risk profile of the asset portfolio. For instance, using the expected returns from a stock portfolio to calculate the required capital for retirement could lead to inaccurate estimates due to the inherent volatility of stock markets.
A safety reserve is a strategy employed in spending needs analysis to account for the inherent risks associated with capital markets. This strategy aims to provide a more accurate estimation of retirement capital needs by considering potential market uncertainties, changes in spending patterns, and unpredictable family obligations.
The size of a safety reserve can be determined based on a subjective assessment of the circumstances. For instance, Evensky, Horan, and Robinson (2011) suggest a safety reserve equal to two years of spending. This recommendation is based on both behavioral and practical reasons.
Assessing the risk of financial capital depletion involves evaluating the sustainability of various withdrawal rates and the likelihood of a portfolio being exhausted within a certain timeframe, considering the withdrawal rate and asset allocation.
A further analysis by Spitzer, Strieter, and Singh (2007) using Bengen’s 4% withdrawal rate with a 50/50 asset allocation, found a 6% chance of financial ruin. This indicates a relatively low probability but still a significant risk that needs to be managed.
Retirement simulation software is a digital tool used in financial planning to estimate the likelihood of a successful retirement plan over various time horizons. The success or failure of these simulations is primarily influenced by three key factors:
Mortality risk is a crucial factor in the success of a retirement withdrawal program. For instance, consider a retiree who has a higher risk of mortality due to a chronic illness. This risk could potentially shorten the duration of their retirement period, thereby reducing the amount of savings required.
The probability of ruin is a metric that measures the likelihood of an investor depleting their financial assets before achieving a specific financial goal. For example, a retiree might have a goal to maintain a certain level of spending throughout retirement. A higher probability of ruin indicates a higher risk of asset depletion, which might necessitate a reassessment of the retirement strategy or underlying assumptions.
Longevity risk directly impacts the probability of ruin by potentially extending the lifespan over which retirement savings must be spread. For instance, if a retiree lives longer than expected, they might run out of money. Wealth managers who do not use annuities usually assume a conservatively long-time horizon, such as a maximum life span with 95% confidence for planning purposes.
Extending the planning period for retirement, such as planning for a 30-year retirement window, can provide flexibility and reduce the risk of depleting savings. For example, a 4.5% fixed withdrawal rate results in a 13.4% probability of ruin over a 30-year horizon. However, this probability drops to 7.16% if one considers that an investor may pass away in less than 30 years.
In the United States, the Internal Revenue Service (IRS) has provided a method to determine sustainable retirement spending. This method, known as the Required Minimum Distribution (RMD), takes into account the retiree’s age and conditional life expectancy. It is surprisingly close to an optimal spending rule and requires a minimal distribution from retirement savings such as an Individual Retirement Account (IRA).
The Monte Carlo approach provides a comprehensive risk assessment by estimating the size of the portfolio required to make sufficient withdrawals to cover inflation-adjusted expenses. This approach is more detailed than the mortality table method as it considers recurring and irregular spending, taxes, and inflation by simulating both cash flows and asset returns.
For instance, wealth managers at firms like J.P. Morgan or Goldman Sachs can use the Monte Carlo approach to estimate the capital required to sustain a specific spending pattern over a chosen time horizon with a 95% confidence level. This method captures the risk inherent in capital markets and the returns generated by the markets to fund retirement spending more fully than the mortality table approach.
The Monte Carlo model allows for the modeling of recurring spending needs, irregular liquidity needs, taxes, inflation, and other factors. This is done by simulating cash flows in addition to asset returns. A safety reserve can also be added to the model to accommodate desired flexibility in spending patterns. The safety reserve in the Monte Carlo model does not need to be as large as that used in the mortality table method. This is because the Monte Carlo model already accounts for the risk of consecutive poor market returns.
Monte Carlo analysis is a computational technique used to understand the impact of risk and uncertainty in financial, project management, cost, and other forecasting models. Unlike the mortality table method, which discounts cash flows at the risk-free rate, Monte Carlo analysis provides a range of possible outcomes and the probabilities they will occur for any choice of action. Milevsky and Robinson (2005) introduced a method that approximates Monte Carlo simulation outcomes without requiring actual simulation, considering both lifespan uncertainty and financial market risk.
However, if the investor is willing to take on a higher risk of ruin, he would need less capital to maintain the same annual spending rate. It’s important to note that while most Monte Carlo analyses assume normally distributed returns, actual historical returns are skewed to the left and have fat tails. These characteristics decrease the sustainability of withdrawal programs and increase the required capital for any given withdrawal rate.
A well-thought-out Monte Carlo simulation requires reasonable and realistic capital market assumptions that reflect current market conditions and future economic prospects. Ideally, the simulation should account for the actual distribution of returns, including skewness, kurtosis, and autocorrelation. However, achieving this level of complexity is challenging, which is why many simulations rely on simplifying assumptions.
Estimating the retirement liability in the annuity market involves determining the funds required for a specific retirement spending level. This can be achieved by examining annuity pricing. The rates of annuities are generally influenced by expected investment returns and mortality rates, which are calculated actuarially.
It’s important to note that this straightforward method doesn’t necessarily imply that the Does should opt for such an annuity. However, it utilizes the insurance industry’s detailed calculations for providing an inflation- and longevity-risk-free cash flow stream.
Sequence-of-returns risk to the risk that the order of investment returns can significantly impact the value of a portfolio, especially when withdrawals are being made. This risk is amplified when the portfolio experiences large negative returns early on, leading to the liquidation of parts of the portfolio at depreciated values and reducing the capital available for future gains.
Consider a retiree with a portfolio of $100,000, withdrawing $10,000 annually. If the portfolio experiences a return of +50% in the first year and -50% in the second year, the value of the portfolio after two years would be significantly different than if the sequence of returns was reversed. This highlights the importance of understanding sequence-of-returns risk and its potential impact on retirement spending.
One strategy to mitigate this risk is to extend one’s career or adjust spending habits, reducing the need for substantial withdrawals during market downturns. It’s crucial to note that consecutive negative returns early in retirement can significantly impact the ability to maintain desired spending levels.
Periodic withdrawals can be seen as the inverse of dollar-cost averaging, a strategy where regular, fixed contributions take advantage of market volatility. However, in a retirement strategy involving fixed withdrawals, market volatility can work against the retiree, forcing them to sell more shares to meet the withdrawal amount and accelerating the depletion of retirement assets.
Longevity risk is influenced by the probability of a retirement program failing and the impact of such failure. For example, if a person’s retirement plan fails early in their retirement, the consequences can be more severe than if it fails later. Therefore, wealth managers should evaluate both the likelihood and severity of retirement portfolio depletion when exploring risk mitigation strategies.
Many countries offer social programs to shield the elderly from outliving their assets, covering health care and living expenses toward life’s end. However, the impact of financial capital depletion, the exhaustion of one’s financial resources, should be analyzed. This can have severe consequences, especially for the elderly who may not have other sources of income.
To mitigate the effects of financial capital depletion, insurance products like deferred annuities can be effective. These are insurance contracts that promise to pay the holder a regular income, or a lump sum, at some future date. For example, a 65-year-old might purchase a deferred annuity that begins payouts at age 85. However, for cost-efficiency and maximum client benefit, it’s crucial to plan for and implement these financial instruments early.
Longevity and retirement planning is a complex field that involves assessing the potential variability in successful outcomes. This variability refers to the range of possible results based on certain assumptions. For example, a retiree might have a 5% chance of not having enough funds to sustain a 30-year retirement. However, the financial outcomes for those who do succeed can vary greatly, from just scraping by to amassing a fortune.
This variability has significant implications for potential bequests and missed consumption opportunities. To mitigate longevity risk, it’s crucial to strike a balance between over-saving and under-spending. Both extremes could prevent a retiree from fully benefiting from their assets.
Longevity risk also influences human capital. For instance, a person worried about outliving their resources might choose to work longer, thereby increasing their human capital. However, this could lead to a shorter retirement period, which may not be desirable.
Moreover, longevity risk is closely tied to wealth. Wealthier individuals have a lower risk of outliving their assets compared to those with fewer resources. The primary determinant of longevity risk and the probability of ruin is the withdrawal rate, which is the ratio of spending to wealth.
Health risks consists of both direct and indirect costs from unexpected illness or injury, significantly affect human capital. These risks can be quantified by calculating the mortality-weighted discounted cash flows, which consider the decrease in expected earnings and the increase in earnings uncertainty due to adverse health events.
The implications of health risks differ across life stages. For instance, early in a career, indirect costs like disruptions in earnings due to chronic illnesses may be more prominent. Conversely, direct healthcare expenses usually escalate later in life. In certain countries, out-of-pocket healthcare costs can be substantial, contingent on the nature of public healthcare and general insurance coverage.
Disability risks are a significant concern in financial planning due to their potential to limit employment opportunities and require specialized care. The probability of disability is higher than mortality, making it a crucial factor to consider. The impact of disability often extends beyond the individual, necessitating specialized medical care, housing, and transportation.
Occupational factors significantly influence health risks. For example, construction workers face a higher risk of physical injury than university professors. This increased risk in certain occupations leads to greater variability in earnings, affecting the expected value of human capital.
Families with disabled children who lack public support may face a financial commitment that could extend beyond the parents’ lifespan. This is a significant consideration as it can have long-term implications for the family’s financial stability.
The expected value of human capital is a statistical concept that calculates the average outcome when the set of events or outcomes is uncertain. It can be influenced by the variability in earnings due to occupational risks. The formula is represented as:
Long-term care refers to the essential services needed when an individual is unable to perform daily activities due to aging or illness. This becomes a significant financial concern, especially in the later stages of life. For instance, in the United States, unlike Germany and Japan where long-term care is part of their national healthcare systems, it can significantly deplete individual financial resources.
Long-term care presents both a health and longevity risk. For example, adult children may find themselves financially responsible for their aging parents’ care. Additionally, these costs are subject to inflation risk, with long-term care expenses often exceeding standard inflation rates.
Cultural factors can also exacerbate the financial burden of long-term care. In certain societies, it is customary for adult descendants to bear the cost of their elderly relatives’ care, adding to the financial strain.
Practice Questions
Question 1: A financial institution is considering the implementation of a risk management process. The institution is particularly interested in the Surplus Management (ALM) Framework. The institution has a significant amount of assets and liabilities, and it is looking to better manage its financial conditions both currently and in the future. What is the role of the surplus size in the financial flexibility of the institution?
- The surplus size does not play a significant role in financial flexibility, it is only a measure of the difference between assets and liabilities.
- The surplus size plays a significant role in financial flexibility, a larger surplus provides more investment options and the ability for higher-risk allocations, while a smaller surplus requires a more cautious and balanced approach.
- The surplus size only affects the institution’s ability to take on higher-risk allocations, it does not affect the institution’s investment options or the need for a balanced approach.
Answer: Choice B is correct.
The surplus size plays a significant role in the financial flexibility of an institution within the Asset Liability Management (ALM) framework. The surplus, which is the difference between the institution’s assets and liabilities, provides a measure of the institution’s financial health and its ability to meet its obligations. A larger surplus provides the institution with more financial flexibility. It allows the institution to consider a wider range of investment options and to potentially take on higher-risk allocations. This is because a larger surplus provides a buffer against potential losses, reducing the risk that the institution will be unable to meet its obligations. Conversely, a smaller surplus requires a more cautious and balanced approach. The institution must be more careful in its investment decisions to ensure that it can meet its obligations, even in the event of adverse market conditions. Therefore, the size of the surplus is a key factor in determining the institution’s financial flexibility and its ability to manage risk effectively.
Choice A is incorrect. While it is true that the surplus size is a measure of the difference between assets and liabilities, it is not correct to say that it does not play a significant role in financial flexibility. As explained above, the size of the surplus has a direct impact on the institution’s ability to manage risk and make investment decisions.
Choice C is incorrect. The surplus size does not only affect the institution’s ability to take on higher-risk allocations. It also affects the institution’s investment options and the need for a balanced approach. A larger surplus provides more investment options and allows for higher-risk allocations, while a smaller surplus requires a more cautious and balanced approach.
Question 2: A business owner is considering strategies to manage potential financial risks associated with his business. He is particularly concerned about the potential for high interest rates in the future and the legal exposure of his personal assets. He is also considering the size of his surplus and his risk tolerance. Which of the following strategies would be most appropriate for him to consider in order to address these concerns?
- He should consider risk acceptance or retention, choosing higher insurance deductibles or buying little or no insurance, depending on his risk tolerance and the size of his surplus.
- He should consider risk transfer, such as taking out a long-term fixed-rate loan to lock in monthly repayments and incorporating his business to shield his personal assets from the business’s legal exposure.
- He should consider risk avoidance and mitigation, such as installing a high-quality fire-rated roof to lower the likelihood of fire damage to his business premises.
Answer: Choice B is correct.
The most appropriate strategy for the business owner to consider in order to address his concerns about potential high interest rates in the future and the legal exposure of his personal assets is risk transfer. This strategy involves shifting the risk of loss to another party. In this case, the business owner can take out a long-term fixed-rate loan to lock in monthly repayments. This would protect him from the risk of high interest rates in the future. Incorporating his business would also shield his personal assets from the business’s legal exposure. This is because a corporation is a separate legal entity from its owners, and the owners’ personal assets are generally not at risk for the corporation’s debts and liabilities. This strategy is particularly suitable for the business owner given his specific concerns and would provide him with a level of financial security and peace of mind.
Choice A is incorrect. Risk acceptance or retention, such as choosing higher insurance deductibles or buying little or no insurance, may not be the most appropriate strategy for the business owner. While this strategy could potentially save him money on insurance premiums, it would also expose him to a higher level of financial risk. If the business owner is particularly concerned about high interest rates and legal exposure, he may not have the risk tolerance or the surplus necessary to effectively manage these risks through acceptance or retention.
Choice C is incorrect. Risk avoidance and mitigation, such as installing a high-quality fire-rated roof, could potentially lower the likelihood of fire damage to his business premises. However, this strategy would not directly address the business owner’s concerns about high interest rates and legal exposure. While risk avoidance and mitigation can be an important part of a comprehensive risk management strategy, they may not be the most appropriate strategies for the business owner to consider given his specific concerns.
Private Wealth Pathway Volume 2: Learning Module 5: Preserving the Wealth;
LOS 5(a): Analyze the types of risks relevant to human capital.