预测多个未来支付的贴现率

Manel Baucells, Alessandra Cillo
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引用次数: 1

摘要

从个人获得的未来支出的当前等价物在潜在贴现率上表现出高度的可变性,这表明多种因素影响着贴现率。其中一个被证明很强大的因素是规模效应,即未来小额派息的折现率高于大额派息。当个人面临不止一项未来支出时,我们不知道其规模效应是由现金流总和驱动的,还是由最高现金流驱动的,还是由第一现金流驱动的,还是由最后现金流驱动的,还是由最低现金流驱动的。在本文中,我们推导出不同现金流量在其他条件下的折现率。最好的预测模型是贴现率随金额和最高现金流量而下降,对于金额低于600欧元和/或最大现金流量低于18欧元的情况,影响明显。我们还考虑了减少不耐烦,并在消除幅度和减少不耐烦的影响后提取了规定的基本贴现率。我们用节能决策的应用来说明这种方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Predicting the Discount Rate of Multiple Future Payouts
Present equivalents of future payouts elicited from individuals exhibit a high variability in the underlying discount rate, suggesting that multiple factors influence discounting. One such factor --- shown to be robust --- is the magnitude effect, whereby small future payouts are discounted more than larger ones. When individuals are confronted with more than one future payout, it is unknown whether the magnitude effect is driven by the sum of cash flows, or the highest cash flow, or the first, or the last, or the lowest. In this paper, we elicit the discount rate of diverse cash flows following a ceteris paribus design. The best predictive model has the discount rate decreasing with the sum and the highest cash flow, with noticeable effects kicking in for sums below 600 euros and/or the maximum cash flow below 18 euros. We also take decreasing impatience into account, and distill a prescriptive base discount rate after removing the effects of magnitude and decreasing impatience. We illustrate the approach with applications to energy conserving decisions.
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