具有延税账户和生存或有产品的夫妇的最优投资组合选择

IF 1.5 4区 经济学 Q3 BUSINESS, FINANCE Quantitative Finance Pub Date : 2023-09-20 DOI:10.1080/14697688.2023.2252852
Sanghyeon Bae, Yongjae Lee, Woo Chang Kim
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引用次数: 0

摘要

摘要退休理财产品一般具有复杂的税收结构和死亡条件。特别是,延税账户(tda)可以通过延税提供避税的财富积累,即使是相同的金融产品。此外,各种生存或有产品(scp),如年金产品和人寿保险合同,对投保人有不同的支付。在此研究中,我们同时考虑了TDA和SCPs,利用多阶段随机规划模型建立并求解了一对夫妇的终身投资组合选择问题。由于随机对偶动态规划具有高维的状态空间和终身规划周期,因此采用随机对偶动态规划(SDDP)来解决该问题。我们发现了一些有趣的结果;当TDA和scp都可用时,投资组合在年金持有方面的集中程度低于TDA不可用时。此外,这对夫妇会在没有scp的时候提前结束对TA的贡献。关键词:退休计划递延纳税账户生存或有产品人寿保险即时年金随机双重动态规划披露声明作者未报告潜在利益冲突。注1实际上,保险公司通过计算排除比率来确定每个时期的非应税年金支出比例。排除比率的计算方法是投资的预期价值(支出乘以年金领取者的预期寿命)除以本金。在基于排除比率的所有分配支出的非应税部分超过本金后(即,年金领取者超过了他或她的预期寿命),所有支出都应纳税。但是,为了反映排除比率,我们应该记录每年的本金和排除比率(而不是动态)。因此,为了计算的可追溯性,我们不计算每年的排除比率和本金,并如上所述制定本金的非应税部分的动态。我们强调,尽管公式与现实略有不同,但据我们所知,这是第一次尝试将年金支出的非应税部分制定为财务优化问题。2 https://www.ssa.gov/oact/STATS/table4c6_2017_TR2020.html.3在其他参数固定的情况下,我们将2.2节中的劳动收入过程替换为Yti=exp (f(t,Zt))PtiUti, Pti=Pt - 1iNti,i∈{x,y}, It=rxItxYtx+ryItyYty,其中σux=σ y=0.15, σnx=σny=0.10。我们假设永久冲击和短暂冲击是相同的,但允许配偶的永久冲击(分别是短暂冲击)之间的相关性,如Wu和Krueger (Citation2021)所述。我们将相关系数设置为ρnxny=0.08和ρuxuy=0.31,其中的值来自Wu和Krueger (Citation2021),并重新生成一个场景树,如附录2所示。得到的分支数是20。本研究由韩国国家研究基金会(NRF)支持;韩国政府(MSIT)NRF-2020R1A2C101067713nrf - 2022 r1i1a4069163)。
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Optimal portfolio choice of couples with tax-deferred accounts and survival-contingent products
AbstractFinancial products for retirement planning generally have complex taxation structures and death conditions. In particular, tax-deferred accounts (TDAs) can provide tax-sheltered wealth accumulation by deferring taxes, even with the same financial products. Additionally, various survival-contingent products (SCPs), such as annuity products and life insurance contracts, have different payouts for policyholders. In this study, considering both the TDA and SCPs, we formulate and solve a couple’s lifetime portfolio choice problem using a multistage stochastic programming model. Owing to its high-dimensional state space and lifelong planning periods, stochastic dual dynamic programming (SDDP) was used to solve this problem. We find some interesting results; when both the TDA and SCPs are available, the portfolio is less concentrated in annuity holdings than when the TDA is unavailable. Moreover, the couple ends their contribution to the TA earlier than when SCPs are unavailable.Keywords: Retirement planningTax-deferred accountsSurvival-contingent productsLife insuranceImmediate annuitiesStochastic dual dynamic programming Disclosure statementNo potential conflict of interest was reported by the author(s).Notes1 In reality, an insurance company calculates the exclusion ratio to determine the proportion of non-taxable annuity payouts for each period. The exclusion ratio is calculated by the expected value of investment (the payouts multiplied by life expectancy of the annuitant) divided by the principal. After the non-taxable parts of all distributed payouts based on the exclusion ratios exceeds the principal (that is, the annuitant outlives his or her life expectancy), the payouts become all taxable. However, to reflect the exclusion ratio, we should record the principal and exclusion ratio in each year (not the dynamics). Hence, for computational tractability, we do not calculate the exclusion ratio and the principal in each year and formulate dynamics of the non-taxable part of the principals as above. We emphasize that although the formulation is slightly different from the reality, to best of our knowledge, this is the first attempt to formulate the non-taxable parts of annuity payouts into the financial optimization problems.2 https://www.ssa.gov/oact/STATS/table4c6_2017_TR2020.html.3 With other parameters fixed, we replace labor income process in section 2.2 with Yti=exp⁡(f(t,Zt))PtiUti, Pti=Pt−1iNti,i∈{x,y}, It=rxItxYtx+ryItyYty, where σux=σuy=0.15, σnx=σny=0.10. We assume that permanent and transitory shocks are iid, but allow correlation between permanent shocks of spouses (transitory shocks, respectively) as in Wu and Krueger (Citation2021). We set correlation coefficients as ρnxny=0.08 and ρuxuy=0.31, where the values are derived from Wu and Krueger (Citation2021), and regenerate a scenario tree as in Appendix 2. The resulting number of branches is 20.Additional informationFundingThis study was supported by a National Research Foundation of Korea (NRF); Korean Government (MSIT) (No. NRF-2020R1A2C101067713 and No. NRF-2022R1I1A4069163).
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来源期刊
Quantitative Finance
Quantitative Finance 社会科学-数学跨学科应用
CiteScore
3.20
自引率
7.70%
发文量
102
审稿时长
4-8 weeks
期刊介绍: The frontiers of finance are shifting rapidly, driven in part by the increasing use of quantitative methods in the field. Quantitative Finance welcomes original research articles that reflect the dynamism of this area. The journal provides an interdisciplinary forum for presenting both theoretical and empirical approaches and offers rapid publication of original new work with high standards of quality. The readership is broad, embracing researchers and practitioners across a range of specialisms and within a variety of organizations. All articles should aim to be of interest to this broad readership.
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