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Zonder onderwerpscode: economie

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Zonder onderwerpscode: economie

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This paper re-examines the classic question of how a household should optimally allocate its portfolio between risky stocks and risk-free bonds over its lifecycle. We show that allowing for the wage indexation of social security benefits fundamentally alters the optimal decisions. Moreover, the optimal allocation is close to observed empirical behavior. Households, therefore, do not appear to be making large "mistakes," as sometimes believed. In fact, traditional financial planning advice, as embedded in "target date" funds – whose enormous recent growth has been encouraged by new government policy – often leads to even relatively larger "mistakes" and welfare losses.

Zonder onderwerpscode: economie

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Life insurance is a large yet poorly understood industry. A final death benefit is not paid for a majority of policies. Insurers make money on customers that lapse their policies and lose money on customers that keep their coverage. Policy loads are inverted relative to the dynamic pattern consistent with reclassification risk insurance. As an industry, insurers lobby to ban secondary markets despite the liquidity provided. These (and other) stylized facts cannot easily be explained by information problems alone. We demonstrate that a simple model of narrow framing, where consumers do not fully account for their need for future liquidity when purchasing insurance, offers a simple and unified explanation.

Zonder onderwerpscode: economie

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While the Sharpe ratio is still the dominant measure for ranking risky assets, a substantial effort has been made over the past three decades to find a way to account for non-Normally distributed risks. This paper derives a generalized ranking measure which, under a regularity condition, correctly ranks risks relative to the original investor problem for a broad probability space. Moreover, like the Sharpe ratio, the generalized measure maintains wealth separation for the broad HARA utility class. Besides being effective in the presence of “fat tails,” the generalized measure is also a foundation for multi-asset class portfolio optimization due to its ability to pairwise rank two risks following two different probability distributions. This paper also explores the theoretical foundations of risk ranking, including proving a key impossibility theorem: any ranking measure that is valid for non-Normal distributions cannot generically be free from investor preferences. Finally, this paper shows that the generalized ratio provides substantially more ranking power than simpler approximation measures that have sometimes been used in the past to account for non-Normal higher moments, even if those approximations are extended to include an infinite number of higher moments.

Zonder onderwerpscode: economie