Human capital significantly influences asset allocation decisions throughout an investor’s life cycle. Its characteristics —– magnitude, volatility, and correlation with financial markets — play a fundamental role in shaping investment strategies. Scholars and practitioners increasingly emphasize integrating human capital’s risk and return profiles into portfolio construction. Below are primary strategies for incorporating human capital into asset allocation:
With a longer time horizon and a larger proportion of human capital in their overall wealth, young professionals can tolerate higher portfolio volatility. Allocating a larger portion of financial capital to growth-oriented assets like stocks is often appropriate. Those with higher earning potential and disciplined savings habits can invest more in riskier assets, mitigating short-term market fluctuations through consistent contributions over time.
As human capital continues to grow, it becomes prudent to adopt a more balanced portfolio to protect accumulated wealth. This phase often involves gradually reducing exposure to high-risk assets while increasing diversification.
Human capital diminishes as retirement approaches, reducing risk tolerance. A shift toward a conservative portfolio with a higher allocation to fixed-income assets, such as bonds, helps preserve wealth and manage income needs during retirement.
Investors with highly volatile human capital should prioritize diversification. Reducing exposure to financial assets that correlate with their income stream and increasing allocations to less correlated assets can help manage risk effectively. Those in volatile sectors like finance, insurance, and real estate—industries highly correlated with stock market fluctuations—should allocate more to risk-free assets and consider increasing life insurance coverage.
Many investors inefficiently allocate a significant portion of their portfolios to employer stock, which often correlates highly with their human capital, increasing overall risk.54 Diversifying away from such assets reduces vulnerability to income and employment-related risks. Empirical studies consistently show that most investors fail to adequately diversify their portfolios in light of human capital risks.
Individuals with stable human capital have more flexibility in their asset allocation. They may consider a higher allocation to riskier assets to potentially increase returns, while still maintaining an appropriate level of overall portfolio risk. Individuals in public administration, manufacturing, or trade may adopt more aggressive investment strategies, with trade sector participants potentially taking the most aggressive approach.
Investors with flexible labor supply — those who can adjust work hours or switch jobs — tend to allocate more to stocks, as this flexibility mitigates income risk.
Initial financial wealth influences the proportion of total wealth represented by human capital. When initial wealth is low, human capital dominates, leading investors to allocate heavily towards risky assets to reach their target asset allocation. For example, to achieve a moderate risk allocation of 60% risk-free assets and 40% risky assets, the closest feasible allocation might be 100% in risky assets when initial wealth is minimal. As initial wealth increases, the asset allocation gradually matches the desired target more closely.
Entrepreneurs, whose income streams are less correlated with bonds and cash, should maintain a lower proportion of stocks. Non-entrepreneurs and individuals without substantial nonfinancial assets should hold less cash compared to those with diversified asset bases.
Emerging target date funds incorporate human capital into their glide paths.55 These funds adjust asset allocation based not only on age but also on career and income stability, offering a more personalized approach to retirement investing.
The returns to human capital investment are highest early in life and exceed the constant returns on financial assets for most households. As households age, this relationship reverses. Even when borrowing is available, households typically use it to offset earnings loss from human capital investments rather than to invest in stocks.56
Asset allocation and life insurance decisions should be made concurrently, considering that the potential loss of human capital at younger ages has a more significant impact than the higher probability of death at older ages.
The overall asset allocation should reflect not only the investor’s risk tolerance and psychological attitude towards risk but also their broader financial situation, including potential earnings outside of investments.
Burton Malkiel, in “A Random Walk Down Wall Street”,33 emphasizes that the risks one can afford are deeply tied to their total financial situation, including human capital. This perspective is particularly relevant for younger investors or those with a longer investment horizon, who are often advised to invest more aggressively based on their substantial human capital.
It seems counterintuitive to tell someone in a well-paid sector to avoid investing in it — but hedging your human capital is sound risk management. Peter Lynch’s famous “buy what you know” advice works against you here: the companies you understand best are the ones that already move your paycheck, your bonus, and your job security. A salaried technology worker who also holds a tech-heavy index fund — and a pile of employer stock on top — is not diversified; they have placed the same bet three times. Such human capital is not merely equity-like, it is levered equity in a single sector: the downturn that halves the share price is the same one that freezes hiring and drains the bonus pool. The dot-com bust made this concrete — engineers and computer scientists who concentrated their savings in the high-technology sector where they also worked lost their portfolio and their job in the same quarter. The remedy is to invest deliberately away from your field, into industries you know little about, precisely because they correlate little with your livelihood.
Operationally, if you carry unvested RSUs, stock options, or any concentrated employer-stock position, treat the sector that issued them as already overweighted in your total portfolio. Build the liquid sleeve to underweight that sector by an amount roughly equal to the at-risk grant value, using a sector-excluded index fund or a complementary sector tilt rather than an outright short (which is impractical for most and creates its own tax mess). Sell vested shares promptly and redeploy the proceeds into the underweighted slice — the right benchmark for “how much employer stock to hold” is almost always zero, since your human capital already supplies the exposure. A portfolio strategy that ignores human capital fails the investors who most need it to work: those still employed and saving for retirement.
Kyrychenko (2008)57 expanded the mean-variance model to include major nonfinancial assets such as housing, human capital, and private business, alongside traditional financial assets. This model provides insights into optimal asset allocations across different types of assets.
The model suggests that financial portfolios of non-entrepreneurs and those without a house should hold less cash compared to households possessing a full set of nonfinancial assets, assuming equal levels of expected returns on total assets. Furthermore, in scenarios where there is no cash constraint, these groups exhibit lower stocks-to-bonds ratios compared to those with comprehensive nonfinancial assets. Conversely, when the cash constraint is binding, they show higher stocks-to-bonds ratios.
For investors lacking human capital, the model recommends significantly higher stocks-to-bonds ratios in the unrestricted range and a greater proportion of cash compared to those with diverse nonfinancial assets.
The model also supports the conventional investment strategy of reducing the proportion of stocks in portfolios as investors age. However, the recommendation to increase the stocks-to-bonds ratio (SBR) with decreasing risk aversion depends on whether the cash constraint—requiring cash to be no less than 100% of the financial portfolio—is binding. In cases where it is not binding, the model advises the opposite.
This counterintuitive result stems from two main factors:
Furthermore, the model tailors asset allocation recommendations based on employment sectors and geographic locations. For instance, it suggests more conservative portfolios for those in finance, insurance, and real estate compared to those in public administration, manufacturing, or trade. Specifically, it recommends the most aggressive portfolios for individuals in trade. Government employees should hold a lower share of bonds than those in manufacturing or trade.
Geographically, when the cash constraint is not binding, New Yorkers are advised to maintain higher stocks-to-bonds ratios than residents of San Francisco or Chicago. Conversely, when the constraint is binding, Chicagoans are recommended to have the highest SBR.
The model emphasizes the importance of considering the entire composition of financial portfolios, not just the stocks-to-bonds ratio. This comprehensive view is essential, as demonstrated by the varied recommendations for investors with no human capital, New York residents, and those employed in the finance sector.
In addition, Davis and Willen (2000), utilizing data from the U.S. Department of Labor’s “Current Occupation Survey”, discovered that human capital typically has a low correlation (ranging from 0.1 to 0.2) with aggregate equity markets. This suggests that the typical investor’s human capital is not highly correlated with the stock market, allowing for a greater allocation of financial wealth into risky assets without undue concern.
Further research indicates the predominance of human capital as an asset in U.S. households. Lee and Hanna (1995),58 using data from the U.S. Federal Reserve Board’s 1992 “Survey of Consumer Finances”, estimated that for the median household, financial assets constituted only 1.3% of total wealth, which includes human capital. This proportion increases slightly at higher percentiles, with financial assets making up 5.7% and 17.4% of total wealth at the 75th and 90th percentiles, respectively. These findings indicate that for the majority of households, financial assets comprise a minor portion of overall wealth.