Working Paper · 研究工作稿Working Paper2026-10-03 · v3.9 · 组合与执行2026-10-03 · v3.9 · Portfolio & execution

定投与一次性投入:基于 942 个月度观测的实证检验Dollar-cost averaging versus lump sum: evidence from 942 monthly observations

本文考察一个被广泛讨论但常被误述的问题:当投资者已持有一笔可投资资金时,"一次性投入"与"分期定额投入(DCA)"孰优?我们以标普 500 全收益指数与恒生指数共 942 个月度观测为样本,对每一个可能的起点构造两种策略的持有期终值,并比较其分布。结论是:一次性投入在约八成的起点上占优,其劣势区间高度集中于部署期(首十二个月)市场下跌的样本;该机制在两个市场、多种持有期与分期长度下均稳健。This paper examines a widely discussed but often misstated question: when an investor already holds investable capital, is it better to invest it immediately or to spread it out? Using the S&P 500 total return index and the Hang Seng Index — 942 monthly observations in total — we build both strategies from every possible start date and compare the distribution of terminal values. The lump sum wins at about four starts in five, and its losses concentrate almost entirely in starts where the deployment window itself fell. The mechanism holds across two markets, several holding periods and several deployment lengths.

摘要围绕"一次性投入抑或分期投入"这一长期争论,本文指出文献与实务讨论中存在一个概念混淆:存量资金(已持有一笔可投资资金)的分期安排是一项主动选择,而流量资金(来自收入的持续储蓄)并无一次性投入之选项,二者的最优决策问题并不相同。本文针对存量资金情形,以 ^SP500TR 全收益月度序列(1988-01 至 2026-09,465 个月)与恒生指数(1986-11 至 2026-07,477 个月)为样本,对每一个月度起点构造"期初全额买入"与"分 6/12/24/36 个月等额买入"两种策略,并按 1 至 20 年持有期计算终值。实证结果表明:一次性投入在终值期望与胜率两方面均占优;其劣势样本几乎全部集中于部署期收益为负的起点。该结论在分期长度与持有期的二维网格上稳定,但在恒生指数口径下强度明显减弱。我们据此讨论了该现象的行为金融解释,并给出可操作的资金部署规则。AbstractThis paper takes up the long-running "lump sum versus dollar-cost averaging" debate and argues that the literature and practitioner discussion conflate two problems. For stock capital (money already in hand), staging the investment is an active choice; for flow capital (savings arriving from income), a lump sum is not an option at all, so the two optimisation problems differ. We study the stock-capital case using the ^SP500TR total return series (Jan 1988 – Sep 2026, 465 months) and the Hang Seng Index (Nov 1986 – Jul 2026, 477 months). For every monthly start date we construct an immediate purchase and equal purchases over 6, 12, 24 or 36 months, and compute terminal values over holding periods of 1 to 20 years. The lump sum dominates on both expected terminal value and win rate, and its losses are almost entirely concentrated in starts where the deployment window was negative. The result is stable across the deployment-length × holding-period grid but materially weaker on the Hang Seng. We discuss the behavioural interpretation and give an operational rule for deploying capital.

关键词 DCA · 一次性投入 · 回测 · 多资产 · 行为偏差 · 组合执行Keywords DCA · lump-sum investing · backtesting · multi-asset · behavioural bias · portfolio execution

01研究问题与文献定位Research question and related literature

设想投资者在 t₀ 时刻持有一笔可投资资金,面前有两种部署方式:其一,在 t₀ 全额买入并持有至 T;其二,将同一笔资金等分为 N 期,自 t₀ 起逐期买入,未投部分以现金形式持有。两种方式的本金、标的与持有期完全相同,唯一差异在于资金进入市场的时点分布。本文研究的正是这一情形。

既有文献对此问题的结论并不含糊。Constantinides(1979)在一个标准期望效用框架下证明 DCA 并非最优策略;Rozeff(1994)与 Knight 和 Mandell(1992)分别以历史数据与数值模拟指出,一次性投入在期望收益上优于分期投入。[1][2][3] 然而实务界对 DCA 的偏好长期存在,Dichtl 与 Drobetz(2011)将其归因于前景理论框架下的投资者效用函数——当投资者对损失敏感、且以"购入均价"为参照点时,分期投入可以改善其主观效用;Hayley(2013)进一步把该偏好与认知误差联系起来。[4][5] 换言之,两种结论回答的并非同一个问题:前者讨论期望终值,后者讨论投资者效用与行为可行性。

近期研究进一步指出结论的环境依赖性。Vanguard(2023)以美国与国际数据发现一次性投入约在三分之二的样本中占优;[6] Kaur 等(2026)则在高通胀环境下重新检验该问题,发现相对优势会随宏观状态而变化。[7] 本文的贡献在于把上述讨论落到一个可复现的统一框架:同一笔资金、同一标的、同一持有期,对全部历史起点逐一比较,并把结果分解到"部署期收益"这一单一解释变量上。

在进入实证之前,有必要澄清一个常被混淆的概念区分。一次性投入(Lump-sum investing,LSI)指期初全额买入;分期定额投入(Dollar-cost averaging,DCA)指将同一笔资金等分为若干期买入;而定期定额储蓄指投资者以收入流量逐期买入,其资金本就陆续到达,不存在一次性投入这一选项;此外尚有价值平均(value averaging)等按目标市值倒算投入额的策略,机制与 DCA 不同,不在本文讨论范围。

Exhibit 1 · 两种策略的全部差别Exhibit 1 · the entire difference between the two strategies
一次性投入与定投的现金流时间轴对比

上图(a):一次性投入在第 0 个月把 100% 本金投入,分期投入则每月投入 1/12。下图(b):把两者的资本暴露度画成曲线——一次性投入自始至终为 100%;分期投入在第 12 个月才达到 100%。两条曲线之间的面积,就是"留在场外"的资金:它在上涨行情中是纯粹的拖累,在下跌行情中才是保护。本文后续所有结果,都可以由这张图的差异解释。

Panel (a): a lump sum invests 100% of the capital at month 0, while DCA invests one twelfth each month. Panel (b) plots capital exposure: the lump sum is 100% throughout, whereas DCA only reaches 100% in month 12. The area between the two lines is the capital left outside the market — a drag when prices rise, protection when they fall.

来源:本文自绘示意;同一笔本金、同一标的、同一持有期,等待期现金按 0% 计息。Source: author's schematic; same principal, same asset and same holding period, with waiting cash at 0%.

Exhibit 2 · 100 元投进去,十年后有多少(可交互)Exhibit 2 · 100 units invested, ten years later (interactive)
第 120 个月
一次性Lump sum – 元units 定投DCA – 元units 差距Gap –

两条横条随时间增长,领先方实时标出。可以切换市场与起点:同一个起点在美股与港股的结果常常相反。

Both bars grow month by month and the leader is labelled live; switch market or start date and the ranking often flips.

来源:本文回测,数据见附录 A。Source: author's backtest; data in Appendix A.

02数据、方法与基准结果Data, method and benchmark results

样本为两类资产的月度总收益序列:标普 500 全收益指数(^SP500TR,含股息)1988-01 至 2026-09 共 465 个月;恒生指数(^HSI)1986-11 至 2026-07 共 477 个月。对每一个月度起点 t0,我们计算两种策略在持有 H 年后的终值:一次性投入的终值为 P(t0+H)/P(t0);分期投入则是把同一本金等分到 N 个月买入,其终值为 (1/N)Σ_j P(t0+H)/P(t0+j),其中期次 j=0,...,N-1。未投部分按 0% 计息——选择零利率是对 DCA 有利的假设,可避免结论偏向一次性投入。持有期取 1、3、5、10、20 年,分期长度取 6、12、24、36 个月。

基准结果显示,一次性投入在终值期望与胜率两方面均占优。以 12 个月分期、10 年持有为例,标普 500 全收益口径下的完整起点共 345 个,其中一次性投入胜出 79%,终值中位数高出 0.13 倍本金;持有期延长至 20 年,中位差扩大至 0.29 倍。表中数字在持有期维度上并非单调,说明其并非由某一特定年代的行情驱动,而更可能来自一个与时间无关的机制——下文将予以识别。

表 1 · 一次性投入的胜率(标普 500 全收益,1988-01 → 2026-09)Table 1 · lump-sum win rate (S&P 500 total return, Jan 1988 → Sep 2026)
持有期Holding6 个月分期6-month12 个月分期12-month24 个月分期24-month36 个月分期36-month
1 年1 year74%81%85%84%
3 年3 years74%80%85%84%
5 年5 years75%81%85%83%
10 年10 years74%79%84%81%
20 年20 years74%82%85%81%

每一格是"一次性终值高于定投终值"的月度起点占比。高亮单元为本文主要口径。数字不随持有期单调变化,说明它衡量的不是某个特定年代,而是"部署期市场涨跌"这一机制。

Each cell is the share of monthly start dates on which the lump sum ended higher. The highlighted cell is the headline case. The figures are not monotone in the holding period, which is the point: what is being measured is the deployment window, not a particular decade.

来源:本文回测;等待期现金按 0% 计息(对定投偏有利的假设)。Source: author's backtest; waiting cash earns 0%, which flatters DCA.

Exhibit 3 · 胜率随分期长度的变化Exhibit 3 · win rate against deployment length
一次性投入胜率随分期长度的变化

横轴是"多久把钱投完",纵轴是"持有多久";每格给出一次性投入的胜率与对应样本数 n。两个方向的规律都很稳定:投完得越慢、持有得越短,一次性投入的优势越大。24 个月那一列甚至更高(84–85%),因为等待时间越长,"没吃到上涨"的代价越大。红框为本文主要口径(12 个月、10 年、n = 345)。

Cells report the share of monthly start dates where the lump sum ends higher, together with the sample size n. The pattern is monotone in both directions: the longer the deployment and the shorter the holding period, the more often the lump sum wins. The 24-month column is highest because the cost of waiting grows with the deployment window.

来源:本文回测,数据与口径见附录。Source: author's backtest; data and definitions in the appendix.

Exhibit 4 · 逐年差额:29 个起点年份,一年不落Exhibit 4 · year by year: all 29 start years
逐年终值差额柱状图

为回应"是否挑选了有利年份"的质疑,我们把 1988–2016 年每一个 1 月起点逐一列出:柱高为分期投入减一次性投入的十年终值差。29 个年份中,一次性投入在 25 个年份占优;分期投入只在 4 个年份胜出,且全部集中在 2000 年前后与 2007–2008 年——与部署期下跌的年份完全对应。

To address the concern that favourable years were selected, every January start from 1988 to 2016 is shown. Bars are the ten-year terminal-value gap (DCA minus lump sum). The lump sum wins in 25 of 29 years; DCA wins only in four, all clustered around 2000 and 2007–08 — precisely the falling deployment windows.

来源:本文回测;每年 1 月入市、12 个月分批投完、持有 10 年。Source: author's backtest; entry each January, deployed over 12 months, held 10 years.

03损失区间的机制识别Identifying the mechanism

为识别 DCA 相对优势的来源,我们把样本按部署期收益(前 12 个月的市场收益)分组考察。结果高度整齐:部署期收益为正时,DCA 终值几乎必然低于一次性投入;部署期收益为负时,DCA 反超。该关系不随起点年份或持有期而变化。其经济含义是直接的:分期投入等价于将一部分资金留在场外,而场外资金在上涨行情中构成确定的拖累,仅在下跌行情中转化为保护。因此 DCA 的相对损益并非来自"平均成本"这一统计性质,而来自资金暴露时间的重新分配。

Exhibit 5 · 一个变量解释了几乎全部Exhibit 5 · one variable explains almost everything
部署期市场涨跌与定投相对差额的散点图

横轴是前 12 个月的市场涨跌,纵轴是定投相对一次性的 10 年终值差(占本金百分点):点几乎全部落在一条斜线上。定投赢的起点只占 21%,且全部落在左侧浅蓝区域——历史上"投完就跌"的窗口本来就只占两成。

Horizontal axis: market return over the first twelve months. Vertical axis: ten-year terminal-value gap (DCA minus lump sum), in percentage points. Points fall almost exactly on a line: DCA wins in 21% of starts, and all of them sit on the left, where the deployment window was negative.

来源:本文回测;345 个月度起点,12 个月分期、持有 10 年。Source: author's backtest; 345 monthly start dates, 12-month deployment, 10-year hold.

那么"分批买得更便宜"这件事到底值多少?把 2007-10 起步的 12 期拆开看,可以回答得更具体:真正扛起收益的是最后几期——它们买在危机后的低位;而 1999-02 起步的那一批,因为崩盘晚了一年,每一期都买得比起点更贵。这就是为什么"定投更便宜"这句话在方向上没错,却不能保证结果——它依赖崩盘何时到来。

Exhibit 6 · 哪一期在出力,以及这种机会有多稀有Exhibit 6 · which tranche does the work, and how rare it is
分批贡献分解与终值差额分布

左图(2007-10 起步):灰虚线是每期买入时的指数位置,蓝柱是该期最终值——第 12 期贡献最大。右图:全部 345 个起点的差额分布,中位数 −13 个百分点,只有 21% 落在零线右侧;分布形状是"右尾薄、左尾长",即定投大幅赢的情况很少,输一截的情况不少。

Left panel: for a 2007-10 start, the dashed line is the index level when each tranche was bought and the bars are each tranche's value after ten years; the later tranches did most of the work. Right panel: across all 345 starts the median gap is −13pp and only 21% sit right of zero — a thin right tail and a long left tail.

来源:本文回测;差额 = 定投终值 − 一次性终值。Source: author's backtest; gap = DCA terminal value − lump-sum terminal value.

04起点依赖性与两例反事实Start-date dependence: two counterfactuals

上述机制可用两个真实起点加以说明。1999-02 入市的投资者,在其后的十二个月中市场继续上行,DCA 的平均购入价高于起点价格,十年后其终值为一次性投入的 0.92 倍;2007-10 入市的投资者,危机第一波随即到来,DCA 逐期买入的价格递减,十年后终值为一次性投入的 1.14 倍。同一策略、同一持有期,两个起点的终值差达 34 个百分点。这一对比表明:在样本内讨论"DCA 是否更优"时,若不指明起点,命题本身并不良定。

Exhibit 7 · 同样的策略,相反的结果Exhibit 7 · same strategy, opposite outcomes
1999-02 与 2007-10 两个起点的路径对比

左:1999-02 起步,定投 0.65 倍、一次性 0.71 倍。右:2007-10 起步,定投 2.34 倍、一次性 2.06 倍。差别不在策略,而在崩盘来得早还是晚。

Left: starting in 1999-02, DCA ends at 0.65x versus 0.71x for the lump sum. Right: starting in 2007-10, DCA ends at 2.34x versus 2.06x. The difference is not the strategy but whether the crash arrived immediately or a year later.

来源:本文回测;12 个月分批、持有 10 年,阴影为部署期。Source: author's backtest; 12-month deployment, 10-year hold, shaded area is the deployment window.

Exhibit 8 · 自己动手看(可交互)Exhibit 8 · try it yourself (interactive)
第 120 个月
100 元 → 一次性100 units → lump sum – 元units 定投DCA – 元units 差距Gap –

橙=一次性投入、蓝=定投;两线之间的色带标出当前领跑方,下方同步显示差距。历史事件(网络泡沫、金融危机、疫情、加息周期)标在时间轴上。换起点、换市场,结论会翻转。

Orange is the lump sum, blue is DCA; the band between the lines marks who is ahead, and the strip below tracks the gap. Historical events (dot-com, GFC, COVID, rate cycle) are marked on the time axis. Change the start date or the market and the conclusion flips.

来源:本文回测,数据见附录 A。Source: author's backtest; data in Appendix A.

05市场异质性与稳健性Cross-market robustness

美股样本期的特征是"长期向上、回撤后修复",这并非所有市场的常态。我们在恒生指数上重复同一检验(1986-11 起,477 个月,覆盖 1997、2000、2008、2015 及 2018–2022 多轮深度回撤与长期横盘),一次性投入的胜率由约 80% 降至 63–69%,且随持有期延长而进一步收敛。需要说明的是,恒生指数序列为价格指数、不含股息,因而系统性低估买入并持有策略,该口径对本结果具有保守倾向。这一发现支持一个更审慎的表述:一次性投入的优势依赖于标的资产的长期正漂移与投资者的回撤承受能力,而非某项统计定律。

The Hang Seng series is a price index excluding dividends, which understates buy-and-hold; the true gap is therefore likely wider than shown.

表 2 · 两个市场的一次性投入胜率(12 个月分期)Table 2 · lump-sum win rate across two markets (12-month deployment)
持有期Holding标普 500 全收益(美)S&P 500 TR (US)恒生指数(港)Hang Seng (HK)
5 年持有5-year81%63%
10 年持有10-year79%66%
20 年持有20-year82%69%

恒生指数序列为价格指数(不含股息),这会低估买入并持有,因此对"一次性投入"是偏保守的口径——真实的差距可能比表中更大。

The Hang Seng series is a price index excluding dividends, which understates buy-and-hold and therefore makes the lump-sum column conservative; the true gap is likely wider than shown.

来源:本文回测。Source: author's backtest.

Exhibit 9 · 同一个问题,换个市场,答案变弱Exhibit 9 · same question, another market, weaker answer
标普 500 与恒生指数的一次性投入胜率对比

原因不神秘:港股波动更大、横盘与深跌的时间更长,"等一等"的机会成本因此更低。结论:"all-in 更好"不是普适定律,它建立在"市场长期向上、且你能承受回撤"这两个前提上。

Hong Kong equities are more volatile and spend longer flat or deeply drawn down, so waiting costs less. The advantage of investing immediately is conditional on a market that trends up and on an investor who can hold through drawdowns.

来源:本文回测;12 个月分期。Source: author's backtest; 12-month deployment.

06讨论与投资含义Discussion and implications

本文结果并不支持"DCA 无价值"这一通俗结论,而支持一个更精确的表述:一次性投入在期望终值意义上占优,分期投入在投资者效用意义上可能是次优但可行的选择。二者的差异可量化为"保险费用":在 10 年持有期下,选择 12 个月分期的投资者,其中位终值比一次性投入低约 0.13 倍本金。这笔费用购买的是对"入场即遭遇回撤"这一特定状态风险的规避,以及行为层面的可持续性——对于在回撤中倾向于清仓的投资者而言,这一费用可能低于其放弃参与市场的隐性成本。

据此,我们提出四条可操作的部署原则。其一,按资金性质而非投资者性格分类:以收入流量形式到达的资金只能逐期投入,讨论在一次投入与分期投入之间展开;只有已持有的存量资金才存在本文意义上的选择。其二,存量资金的基准方案是尽快投入,三个合理例外为:资金在三年内需动用(不足以覆盖一个完整回撤周期)、投资者经自我评估确认无法承受 20% 的账面回撤、以及市场处于极端估值区间而需要以分批方式管理执行风险。其三,若选择分期,应缩短期限并预先承诺规则:本文证据支持 6–12 个月的区间,更长期限在期望意义上代价更高且不显著改善主观效用。其四,以可承受的最大回撤而非期望收益作为决策准则:胜率是样本频率,而非对单一路径的承诺。

最后,本文的结论边界值得强调。其一,样本仅覆盖两个市场,且其中一个仅具价格收益数据;其二,未计入交易成本、税费、汇率与现金流摩擦,其中前三项均会强化本文结论(使分期更不利);其三,部署期收益的识别是样本内的统计关系,不构成对未来的预测。将上述框架扩展至更多资产类别、加入交易成本与税收摩擦,并在真实投资委托中检验行为假设,是后续研究的方向。

English version

Question. An investor holds a lump sum and can either invest it immediately (lump-sum investing, LSI) or spread the same amount over N equal monthly purchases (dollar-cost averaging, DCA). Both use the same principal, the same asset and the same holding period; only the timing of cash differs. A separate question — investing monthly out of salary — is not the same problem, because there is no lump sum to deploy.

Data and method. S&P 500 total return (^SP500TR, dividends included), monthly, January 1988 to September 2026 (465 months), and the Hang Seng Index (^HSI), monthly, November 1986 to July 2026 (477 months). Every month is treated as a start date. From a start t0, the lump sum ends at P(t0+H)/P(t0) after H years; DCA splits the same principal into N equal monthly purchases and ends at (1/N)Sigma_j P(t0+H)/P(t0+j), with j=0,...,N-1. Uninvested cash earns 0%, which favours DCA, over holding periods of 1 to 20 years.

Result 1 — the lump sum usually wins. With a 12-month deployment and a 10-year holding period, the lump sum ends higher in 79% of the 345 start months, with a median advantage of 0.13 times principal (0.29 times at a 20-year horizon).

Result 2 — the losses have a pattern. DCA wins in only 17–18% of starts, and those starts are almost exactly the ones in which the deployment window (the first twelve months) fell. DCA's win rate is therefore close to the probability of an immediate drawdown: it buys protection, not return.

Result 3 — timing, not conviction. Starting in February 1999, DCA ends at 0.65x against 0.71x for the lump sum, because the crash arrived a year late. Starting in October 2007, DCA ends at 2.34x against 2.06x, because the crash arrived immediately. A 34-percentage-point swing from the same rule.

Result 4 — market dependence. Repeating the test on the Hang Seng Index lowers the lump-sum win rate to 63–69%, and the gap narrows as the holding period lengthens: higher volatility and longer flat stretches make waiting cheaper.

Implications. Classify by the source of the money, not by temperament: salary flows can only be invested periodically. For an existing lump sum the default is to invest soon; the exceptions are money needed within three years, an investor who would sell into a 20% drawdown, and an extreme valuation regime. If spreading is chosen, keep it to six or twelve months and pre-commit the schedule. The median advantage forgone — about 0.13 times principal over ten years — is the price of insurance against an immediate drawdown.

Limitations. Two markets only, one of them price-only; cash earns 0% while waiting; no taxes, fees or FX; index survivorship flatters buy-and-hold. The deployment-window result is an in-sample regularity, not a forecast.

附录 A · 数据、方法与来源Appendix A · data, method and sources

数据。标普 500 全收益指数(^SP500TR,含股息)月度收盘,1988-01 → 2026-09,共 465 个月;恒生指数(^HSI,价格)月度收盘,1986-11 → 2026-07,共 477 个月。来源为 Yahoo Finance 公开行情接口,访问日期 2026-10-03。

做法。把每一个月当作起点 t₀。一次性投入=在 t₀ 全额买入并持有 H 年;定投=分 N 个月等额买入,未投部分按 0% 计息,同样持有到 t₀+H。统计指标为"一次性终值高于定投终值"的起点占比,以及终值差额的分布。选择 0% 现金利率是对定投偏有利的假设。

Data. S&P 500 total return (^SP500TR, dividends included), monthly closes, January 1988 to September 2026 (465 months); Hang Seng Index (^HSI, price only), monthly closes, November 1986 to July 2026 (477 months). Both from the Yahoo Finance public chart endpoint, accessed 3 October 2026.

Method. Every month is treated as a start date t₀. The lump sum buys in full at t₀ and holds for H years; DCA buys in N equal monthly instalments with the uninvested balance earning 0%, also held to t₀+H. The statistics are the share of starts on which the lump-sum terminal value exceeded the DCA terminal value, and the distribution of the difference. A 0% cash rate is deliberately generous to DCA.

Not included. Transaction costs, taxes, FX and behaviour. The first three penalise staging (more trades, more cost); the last cannot be measured by a backtest.

未计入。交易成本、税费、汇率与心理因素。前三个都会让"分批"更吃亏(多笔交易成本更高),最后一个无法用回测衡量。

代码。tools/make_lca_data.py(回测与数据导出)、tools/make_lca_figs.py(全部静态图,研究简报风格)、tools/make_lca_note.py(本页与两个交互动画)。固定输入可完全复现。

Code. tools/make_lca_data.py (backtest and data export), tools/make_lca_figs.py (all static figures), tools/make_lca_note.py (this page and the two interactive charts). The same inputs reproduce the same output.

免责声明。本文为个人研究笔记,不构成投资建议。全部数字来自公开行情数据的回测,历史表现不代表未来收益;回测未计入交易成本、税费与汇率。文中提到的学术论文仅为文献引用,不代表作者或机构的立场。© 2026 Aylon,文字原创,引用请注明来源与链接。 Disclaimer. This is a personal research note, not investment advice. All figures come from backtests on public market data; past performance does not indicate future returns, and the backtests exclude transaction costs, taxes and FX. The academic papers cited are references only. © 2026 Aylon. Original text; please credit the source and link when quoting.

参考文献References

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  2. Rozeff, M. S. (1994). Lump-Sum Investing versus Dollar-Averaging. Journal of Portfolio Management. doi.org/10.3905/jpm.1994.409474
  3. Knight, J. R., & Mandell, L. (1992). Nobody Gains from Dollar Cost Averaging: Analytical, Numerical and Empirical Results. Financial Services Review. doi.org/10.1016/1057-0810(92)90015-5
  4. Dichtl, H., & Drobetz, W. (2011). Dollar-Cost Averaging and Prospect Theory Investors. Journal of Behavioral Finance. doi.org/10.1080/15427560.2011.555029
  5. Hayley, S. (2013). Dollar Cost Averaging — The Role of Cognitive Error. SSRN Working Paper. doi.org/10.2139/ssrn.1473046
  6. Vanguard Research (2023, February). Cost averaging: Invest now or temporarily hold your cash? vanguard.com(PDF)
  7. Kaur, et al. (2026). Dollar-Cost Averaging Versus Lump-Sum Investing under High Inflation. Journal of Risk and Financial Management. doi.org/10.3390/jrfm19090671
  8. 行情数据:Yahoo Finance,^SP500TR 与 ^HSI 月度收盘序列,访问日期 2026-10-03。Market data: Yahoo Finance, month-end ^SP500TR and ^HSI series, accessed 3 October 2026.