Dollar-cost averaging is an investment approach where a fixed amount of money is invested at regular intervals, regardless of market conditions. Instead of trying to choose the “right” time to invest, the investor commits to a consistent schedule, such as investing monthly or quarterly. This method is widely used because it simplifies decision-making and reduces the impact of short-term market fluctuations on investment outcomes.
At its core, dollar-cost averaging addresses a central challenge in investing: timing risk. Timing risk is the possibility that an investor commits a large amount of capital just before prices fall. By spreading investments over time, dollar-cost averaging avoids concentrating all purchases at a single market level.
How dollar-cost averaging works in practice
Under dollar-cost averaging, the same dollar amount is invested each period into the same asset or portfolio. When prices are high, that fixed investment buys fewer units; when prices are low, it buys more units. Over time, this results in an average purchase price that reflects market movements rather than a single point in time.
For example, consider an investor who invests $500 each month into a broad stock market fund. If the fund price is $50 in one month, the investment buys 10 shares. If the price falls to $25 the next month, the same $500 buys 20 shares. The investor accumulates more shares when prices are lower without needing to predict or react to market movements.
Why dollar-cost averaging reduces emotional decision-making
Financial markets are volatile, meaning prices move up and down, sometimes sharply. These movements can trigger emotional responses such as fear during declines or overconfidence during rallies. Emotional decision-making often leads to poor outcomes, such as selling after prices fall or buying aggressively after prices rise.
Dollar-cost averaging imposes a rules-based discipline that limits these emotional reactions. Because investments occur automatically and consistently, decisions are less influenced by headlines, market noise, or short-term performance. This structure is particularly valuable for investors who find it difficult to remain invested during periods of uncertainty.
Dollar-cost averaging versus lump-sum investing
Lump-sum investing involves investing a large amount of money all at once rather than spreading it over time. From a purely mathematical perspective, lump-sum investing often produces higher expected returns when markets trend upward over long periods. This is because more money is exposed to potential growth sooner.
Dollar-cost averaging, by contrast, prioritizes risk management over maximizing expected returns. It sacrifices some upside potential in exchange for lower timing risk and smoother entry into the market. The trade-off is not about right versus wrong, but about balancing return potential against behavioral and timing considerations.
When dollar-cost averaging is most and least appropriate
Dollar-cost averaging is most appropriate when investing new income over time, such as wages or business cash flow, or when an investor is entering the market with a large sum but is concerned about near-term volatility. It is also well suited for long-term investors who value consistency and behavioral discipline over short-term optimization.
It is least appropriate when an investor already has cash intended for long-term investment and has a high tolerance for market fluctuations. In such cases, delaying investment through dollar-cost averaging may result in lower long-term returns if markets rise during the waiting period. Understanding this trade-off is essential to using dollar-cost averaging intentionally rather than by default.
How Dollar-Cost Averaging Works Step by Step in Practice
Understanding when dollar-cost averaging is appropriate sets the foundation. The next step is examining how the strategy operates mechanically in real-world investing. In practice, dollar-cost averaging is defined less by market forecasts and more by a predefined process that is followed consistently regardless of market conditions.
Step 1: Establish a fixed investment amount and schedule
The process begins by selecting a fixed dollar amount to invest at regular intervals, such as weekly, biweekly, or monthly. The amount is determined in advance and does not change based on market movements or economic news. This fixed schedule transforms investing from a discretionary decision into a routine financial action.
The investment frequency typically aligns with cash inflows, such as paychecks or business revenue. This alignment reduces the temptation to wait for “better” market conditions, which often proves counterproductive.
Step 2: Select the investment vehicle
Next, the investor chooses the asset or portfolio into which the recurring investments will be made. This is commonly a diversified investment vehicle, such as an index mutual fund or exchange-traded fund (ETF), which represents a broad segment of the market. Diversification refers to spreading exposure across many securities to reduce the impact of any single asset’s performance.
Once selected, the same investment is purchased repeatedly over time. Dollar-cost averaging does not involve switching investments in response to short-term price movements.
Step 3: Execute purchases regardless of price movements
At each scheduled interval, the fixed dollar amount is invested at the prevailing market price. When prices are high, the fixed amount purchases fewer units. When prices are low, the same amount purchases more units. A unit represents a share or fractional share of the investment.
Over time, this process results in an average purchase price that reflects a blend of higher and lower market prices. This averaging effect is mechanical rather than predictive and does not rely on identifying market bottoms or tops.
Step 4: Allow compounding and market cycles to work over time
As investments accumulate, returns are driven primarily by long-term market growth rather than short-term price fluctuations. Compounding refers to the process by which investment returns generate additional returns over time. Dollar-cost averaging supports compounding by keeping capital consistently invested.
Importantly, the strategy does not attempt to avoid downturns. Instead, downturns become periods where more units are accumulated at lower prices, which can enhance long-term outcomes if markets recover.
Numerical example of dollar-cost averaging in action
Consider an investor who commits to investing $500 per month into a broad market index fund over four months. In Month 1, the fund price is $50, so $500 buys 10 units. In Month 2, the price rises to $62.50, and $500 buys 8 units. In Month 3, the price falls to $40, and $500 buys 12.5 units. In Month 4, the price is $50 again, and $500 buys 10 units.
Over four months, the investor contributes $2,000 and acquires 40.5 units. The average cost per unit is approximately $49.38, even though the market price fluctuated between $40 and $62.50. This outcome occurs without any attempt to time the market or adjust behavior based on price changes.
Why this process reduces timing risk and emotional decision-making
Timing risk refers to the possibility that an investor commits a large amount of capital immediately before a market decline. By spreading investments over time, dollar-cost averaging reduces the impact of any single unfavorable entry point. The risk is not eliminated, but it is diluted across multiple purchase dates.
Equally important is the behavioral effect. Because investment decisions are pre-scheduled and rules-based, there is less opportunity for fear or overconfidence to influence actions. The strategy replaces reactive decision-making with a structured process, which helps investors remain engaged with markets during both favorable and unfavorable periods.
A Numerical Example: DCA vs. Market Price Fluctuations Over Time
Building on the mechanics of dollar-cost averaging, a numerical illustration helps clarify how the strategy interacts with changing market prices. The example below isolates price volatility as the primary variable, holding the investment amount and schedule constant. This allows the impact of fluctuating prices on unit accumulation to be observed directly.
Assumptions and investment schedule
Assume an investor allocates $500 at the beginning of each month into the same diversified equity index fund. The investment period spans four months, and the total capital committed is $2,000. No attempt is made to adjust contributions based on market conditions.
The fund’s market price varies each month: $50 in Month 1, $62.50 in Month 2, $40 in Month 3, and $50 in Month 4. These price movements reflect normal short-term volatility rather than any structural change in the investment.
Units purchased at different market prices
In Month 1, the $500 contribution purchases 10 units at $50 per unit. In Month 2, when the price rises to $62.50, the same $500 buys only 8 units. In Month 3, the price declines to $40, allowing the $500 contribution to acquire 12.5 units.
In Month 4, the price returns to $50, and another 10 units are purchased. Over the four months, the investor accumulates a total of 40.5 units. The average cost per unit is approximately $49.38, despite prices ranging from $40 to $62.50.
How price volatility works in favor of consistent investing
This outcome illustrates a defining feature of dollar-cost averaging: more units are acquired when prices are lower and fewer units when prices are higher. The average cost per unit ends up below the simple average of the observed prices. This effect occurs automatically and does not rely on forecasting or discretionary decisions.
It is important to note that this mechanism does not guarantee superior returns. If prices rise steadily without meaningful declines, the average cost under dollar-cost averaging may exceed the initial price. The benefit lies in reducing the sensitivity of outcomes to any single purchase date.
Comparison with a lump-sum investment
To contrast, consider a lump-sum investment of $2,000 made entirely in Month 1 at a price of $50 per unit. That investment would purchase exactly 40 units. By comparison, the dollar-cost averaging approach in this example results in 40.5 units due to the interim price decline in Month 3.
The comparison highlights a key trade-off. Lump-sum investing maximizes exposure to markets earlier, which can be advantageous in rising markets. Dollar-cost averaging, by contrast, spreads entry points over time, reducing timing risk but potentially delaying full market exposure.
Interpreting the results in practical terms
The numerical difference between 40 and 40.5 units may appear modest over a short period, but the example is intentionally simple. Over longer horizons with repeated contributions, the cumulative effect of purchasing more units during downturns can become more pronounced. At the same time, the strategy remains neutral with respect to predicting market direction.
This example demonstrates that dollar-cost averaging is not designed to outperform markets in all conditions. Its primary function is to manage uncertainty around entry timing and to impose discipline in environments characterized by unpredictable price movements.
Why Dollar-Cost Averaging Reduces Timing Risk and Emotional Mistakes
Building on the numerical example above, the defining advantage of dollar-cost averaging lies not in return maximization but in risk control. Specifically, it addresses timing risk and behavioral errors that commonly undermine long-term investment outcomes. These two factors are closely linked and often reinforce each other during periods of market volatility.
Reducing timing risk through distribution of entry points
Timing risk refers to the uncertainty associated with choosing a single point in time to invest a large sum of capital. When prices fluctuate, the outcome of a lump-sum investment can vary substantially depending on whether the purchase occurs near a market peak or trough. This sensitivity to entry timing can dominate short- and medium-term results, even when the long-term investment thesis remains sound.
Dollar-cost averaging mitigates this risk by spreading purchases across multiple dates. Each contribution represents a different market environment, which reduces the impact of any single adverse price movement. As a result, the final average cost reflects a blend of conditions rather than a single, potentially unfavorable snapshot.
Limiting the impact of emotional decision-making
Emotional mistakes arise when investment decisions are driven by fear, greed, or regret rather than a consistent process. Common examples include delaying investments during market declines due to fear of further losses, or accelerating purchases during rallies due to fear of missing out. These behaviors tend to lead to buying high and selling low, the opposite of disciplined investing.
Dollar-cost averaging introduces a rules-based structure that operates independently of short-term market sentiment. By committing to invest fixed amounts at predetermined intervals, the investor reduces the scope for discretionary reactions to market noise. This mechanical process helps maintain consistency during periods when emotions are most likely to interfere.
Behavioral discipline during market downturns
Market declines are the periods when dollar-cost averaging provides its clearest behavioral benefit. Falling prices often coincide with negative news and heightened uncertainty, conditions under which many investors hesitate to deploy capital. Under a dollar-cost averaging framework, contributions continue automatically, resulting in larger quantities purchased at lower prices.
This feature transforms volatility from a psychological obstacle into a functional component of the strategy. Rather than requiring confidence in identifying a market bottom, the approach relies on persistence. Over time, this can materially reduce the likelihood of abandoning an investment plan during temporary drawdowns.
Contrast with lump-sum investing from a behavioral perspective
Lump-sum investing places greater emphasis on decision quality at a single point in time. While it may be statistically favorable in rising markets due to earlier full exposure, it also concentrates emotional pressure around the initial purchase. A subsequent market decline can lead to regret, second-guessing, or premature selling.
By contrast, dollar-cost averaging reframes investing as a process rather than an event. The focus shifts from evaluating the success of a single decision to maintaining adherence to a schedule. This perspective can improve investor behavior, even if it does not always maximize expected returns.
When dollar-cost averaging is most and least appropriate
Dollar-cost averaging is most effective when prices are volatile, future cash flows are periodic, or when the investor places a high value on behavioral consistency. It aligns naturally with regular income patterns, such as monthly savings, and with investors who are sensitive to market timing anxiety.
It is least effective in environments characterized by steadily rising prices and low volatility, where delaying full investment can result in opportunity cost. In such cases, the primary benefit remains psychological rather than mathematical. Understanding this distinction clarifies that dollar-cost averaging is a risk-management and behavior-management tool, not a guarantee of superior performance.
Dollar-Cost Averaging vs. Lump-Sum Investing: Key Differences and Trade-Offs
Building on the behavioral considerations discussed above, the distinction between dollar-cost averaging and lump-sum investing extends beyond psychology into expected returns, risk exposure, and opportunity cost. Both approaches represent systematic ways of deploying capital, but they differ materially in how and when market risk is assumed. Understanding these trade-offs is essential for aligning an investment method with personal constraints and objectives.
Timing of market exposure and expected returns
Lump-sum investing deploys the entire available capital immediately, resulting in full market exposure from the outset. Because financial markets have historically trended upward over long periods, this approach has a higher expected return in purely statistical terms, assuming the investment horizon is long and the investor remains invested.
Dollar-cost averaging spreads capital deployment over time, which delays full exposure to the market. This delay creates what is known as opportunity cost, meaning foregone returns that could have been earned if the capital had been invested earlier. As a result, dollar-cost averaging tends to underperform lump-sum investing in steadily rising markets, even though it may reduce short-term regret.
Risk concentration versus risk distribution
Lump-sum investing concentrates timing risk, defined as the risk that capital is invested immediately before a market decline. A poor entry point can lead to significant short-term losses, even if long-term prospects remain favorable. While this risk diminishes over long horizons, it can be psychologically destabilizing in the early stages of an investment plan.
Dollar-cost averaging distributes timing risk across multiple purchase dates. Each contribution is exposed to different market conditions, reducing reliance on a single entry point. This structure lowers the impact of short-term volatility on the overall cost basis, defined as the average price paid per unit of the investment.
Numerical example illustrating the trade-off
Consider an investor with $12,000 to invest in a broad market index fund. Under a lump-sum approach, the entire $12,000 is invested immediately at a price of $100 per share, resulting in the purchase of 120 shares. If the market later declines to $80, the portfolio value falls to $9,600, despite no change in long-term fundamentals.
Under a dollar-cost averaging approach, the investor contributes $1,000 per month over 12 months. If prices fluctuate between $80 and $120 during that period, more shares are purchased during lower-priced months and fewer during higher-priced months. The result is an average purchase price that reflects market volatility rather than a single point in time, reducing sensitivity to short-term market movements.
Behavioral discipline versus mathematical efficiency
From a purely mathematical perspective, lump-sum investing is more efficient when capital is already available and the investor can tolerate volatility. Its advantage stems from earlier compounding, not superior risk management. However, this efficiency assumes disciplined behavior through both gains and losses.
Dollar-cost averaging prioritizes behavioral discipline over return maximization. By converting investing into a recurring process, it reduces the likelihood of emotional reactions such as delaying investment during downturns or abandoning the strategy after losses. This trade-off explains why dollar-cost averaging can lead to better real-world outcomes for some investors, even when theoretical returns are lower.
Practical constraints and real-world applicability
In practice, the choice between dollar-cost averaging and lump-sum investing is often constrained by cash availability. Investors funding portfolios from ongoing income streams can only invest incrementally, making dollar-cost averaging the default mechanism rather than an active choice. In these cases, the strategy aligns naturally with cash flow realities.
When capital is received as a windfall, such as a bonus or inheritance, the decision becomes more explicit. The trade-off is then between maximizing expected returns through immediate investment and managing emotional and timing-related risks through gradual deployment. Recognizing this distinction reinforces that neither approach is universally superior; each reflects a different balance between risk, return, and behavior.
When Dollar-Cost Averaging Makes the Most Sense for Investors
Building on the distinction between mathematical efficiency and behavioral discipline, dollar-cost averaging is most effective in situations where uncertainty, emotional bias, or cash flow constraints materially influence investment decisions. Its value lies less in optimizing expected returns and more in managing how and when capital is committed to markets.
Investing from ongoing income streams
Dollar-cost averaging is most appropriate when investments are funded from regular income, such as salaries or business cash flows. In this context, the strategy is not a tactical choice but an operational necessity, as capital becomes available gradually rather than all at once.
By investing a fixed amount at regular intervals, the investor avoids holding idle cash while waiting for perceived “better” entry points. The process ensures consistent market participation without requiring forecasts about short-term price movements, which are statistically unreliable even for professionals.
Periods of elevated market uncertainty or volatility
Dollar-cost averaging is particularly well suited to environments characterized by high volatility, defined as large and frequent price fluctuations over short periods. During such conditions, the risk of investing a lump sum immediately before a market decline is more salient, even if long-term expected returns remain positive.
Spreading investments over time reduces timing risk, which is the risk of committing capital at an unfavorable market level due to random price movements. While this does not eliminate the possibility of losses, it smooths the entry price and reduces the psychological impact of short-term drawdowns.
Managing behavioral biases and emotional decision-making
Behavioral finance research consistently shows that investors are prone to loss aversion, meaning losses are felt more intensely than gains of the same magnitude. This bias often leads to delayed investing after market declines or premature selling during periods of stress.
Dollar-cost averaging mitigates these behaviors by replacing discretionary decisions with a rules-based process. Because investment amounts and timing are predetermined, the strategy reduces the influence of fear, regret, and overconfidence, which are common drivers of suboptimal investor outcomes.
Deploying large sums when emotional tolerance is limited
When capital is received as a windfall, such as an inheritance or liquidity event, dollar-cost averaging can be appropriate if the investor has limited tolerance for short-term losses. Investing the full amount immediately may be mathematically optimal, but only if the investor can remain invested through potential declines.
Gradual deployment allows the investor to acclimate to market exposure while maintaining participation. Although expected returns may be lower than immediate investment, the approach can reduce the risk of abandoning the strategy entirely after an adverse market move.
Numerical illustration of suitability
Consider an investor with $120,000 to invest during a volatile year. Under a lump-sum approach, the entire amount is invested at a market level of 100. If the market falls to 80 shortly afterward, the portfolio experiences a 20 percent decline immediately.
Under dollar-cost averaging, the investor instead invests $10,000 per month over 12 months. If market levels fluctuate between 80 and 120 during that period, more units are acquired during lower-priced months and fewer during higher-priced months. The resulting average entry price may be lower than 100, and, more importantly, the investor avoids the psychological shock associated with a large immediate loss.
Situations where dollar-cost averaging is less effective
Dollar-cost averaging is generally less suitable when markets are steadily rising and the investor has both available capital and high risk tolerance. In such cases, delaying investment increases the opportunity cost of holding cash, as capital is not fully exposed to market growth.
It is also less effective for investors with strong behavioral discipline who can tolerate volatility without altering their strategy. For these individuals, lump-sum investing better aligns with the long-term return characteristics of risk assets, assuming the investment horizon is sufficiently long.
When Dollar-Cost Averaging May Be Less Effective or Suboptimal
While dollar-cost averaging reduces timing risk and emotional decision-making, it does not maximize expected returns in all environments. Its effectiveness depends on market conditions, investor constraints, and the nature of the capital being invested. Understanding these limitations is essential to applying the strategy appropriately rather than reflexively.
Strongly rising markets and opportunity cost
In markets with a persistent upward trend, delaying investment through dollar-cost averaging can reduce total returns. This occurs because uninvested cash earns little or no return while risk assets appreciate. The foregone return from holding cash is referred to as opportunity cost, meaning the benefit that is lost by not choosing the next-best alternative.
From a probabilistic standpoint, equities and other growth-oriented assets have historically exhibited a positive long-term expected return. When capital is already available, investing sooner increases exposure to that expected return, whereas dollar-cost averaging intentionally postpones it.
Lower expected returns compared to lump-sum investing
Academic research and historical market data consistently show that lump-sum investing has a higher expected return than dollar-cost averaging when investing a known amount over a defined period. This is not because lump-sum investing avoids risk, but because it accepts market risk immediately rather than spreading it over time.
Dollar-cost averaging trades higher expected return for reduced short-term regret. For investors with sufficient risk tolerance and a long investment horizon, this trade-off may be unnecessary and economically inefficient.
Cash drag and inflation risk
Cash drag refers to the reduction in portfolio returns caused by holding excess cash instead of invested assets. During a dollar-cost averaging period, a portion of capital remains idle, which can meaningfully reduce compounded growth over time.
Inflation further compounds this issue by eroding the real purchasing power of cash. Even modest inflation reduces the real value of uninvested funds, making delayed investment more costly in real terms.
Short investment horizons
Dollar-cost averaging is less effective when the investment horizon is short relative to the averaging period. If capital is spread over many months but needed within a few years, much of the portfolio may not remain invested long enough to benefit from long-term market growth.
In such cases, the smoothing benefit of dollar-cost averaging provides limited value, while the delayed exposure increases the risk that returns will be insufficient to meet the investor’s objective.
Transaction costs and tax considerations
Frequent purchases can increase transaction costs, particularly in markets or platforms where trading is not free. Even small costs, when repeated over many contributions, can materially reduce net returns.
In taxable accounts, dollar-cost averaging may also complicate tax management. Multiple purchase dates create multiple tax lots, increasing recordkeeping complexity and potentially limiting tax optimization strategies.
Numerical illustration of suboptimal outcomes
Consider an investor with $120,000 available at the start of a year in which the market rises steadily from 100 to 120. Under a lump-sum approach, the full amount is invested at 100, resulting in a portfolio value of $144,000 by year-end.
Under dollar-cost averaging, the investor invests $10,000 per month as prices increase. The average purchase price may be closer to 110, resulting in fewer total units acquired. By year-end, the portfolio value is meaningfully lower than under the lump-sum approach, despite identical market conditions.
Behavioral overreliance on dollar-cost averaging
Dollar-cost averaging can create a false sense of risk control if used as a default rather than a deliberate choice. While it reduces the emotional impact of short-term volatility, it does not eliminate market risk or guarantee favorable outcomes.
For disciplined investors who can tolerate drawdowns without altering their strategy, dollar-cost averaging may unnecessarily constrain long-term returns. In these cases, the strategy solves a behavioral problem that does not meaningfully exist, while introducing avoidable economic costs.
Common Misconceptions About Dollar-Cost Averaging and How to Use It Correctly
Despite its widespread use, dollar-cost averaging is often misunderstood. Many of its perceived benefits stem from behavioral advantages rather than superior expected returns. Clarifying these misconceptions is essential to applying the strategy in a way that aligns with its actual strengths and limitations.
Misconception 1: Dollar-cost averaging increases expected returns
Dollar-cost averaging does not increase the expected return of a portfolio relative to immediate full investment when markets have a positive long-term expected return. Expected return refers to the probability-weighted average outcome over many possible market paths. Because capital is intentionally held back under dollar-cost averaging, less money is exposed to the market for a period of time, which mathematically lowers expected returns compared with lump-sum investing.
The primary benefit of dollar-cost averaging is not return enhancement but volatility management. It reduces the impact of adverse short-term market movements by spreading entry prices over time. This distinction is frequently overlooked.
Misconception 2: Dollar-cost averaging eliminates market timing risk
Dollar-cost averaging reduces, but does not eliminate, market timing risk. Market timing risk is the possibility that an investment is made immediately before a market decline. By investing incrementally, exposure to any single entry point is reduced, but the overall strategy still depends on market behavior during the contribution period.
If markets rise consistently, dollar-cost averaging results in systematically higher purchase prices. If markets fall sharply after the averaging period ends, the investor remains fully exposed. The strategy manages sequencing risk during entry, not overall market risk.
Misconception 3: Dollar-cost averaging is always safer than lump-sum investing
Perceived safety often reflects emotional comfort rather than economic reality. Dollar-cost averaging feels safer because it limits regret associated with investing just before a decline. However, safety in an investment context refers to the probability of meeting financial objectives, not the smoothness of the experience.
For long-term investors with stable risk tolerance, delaying market exposure can reduce the probability of achieving required returns. In such cases, emotional comfort comes at the cost of lower expected portfolio growth.
Misconception 4: Dollar-cost averaging is optimal for all cash inflows
Dollar-cost averaging is sometimes incorrectly applied to situations where it is not economically relevant. When contributions come from periodic income, such as wages or business cash flow, investing as funds become available is not a strategy choice but a cash flow constraint. This is often labeled dollar-cost averaging, but no alternative timing decision exists.
The strategy only applies meaningfully when a lump sum is already available and the investor is choosing how quickly to deploy it.
How dollar-cost averaging should be used correctly
Dollar-cost averaging is most appropriate as a behavioral risk management tool. It can help investors who are prone to delaying investment decisions, reacting emotionally to volatility, or abandoning plans after short-term losses. In these cases, a structured schedule increases the likelihood that capital ultimately becomes invested.
The averaging period should be finite and intentional. Extending contributions indefinitely converts a temporary risk-management technique into a permanent drag on portfolio exposure.
Correct comparison with lump-sum investing
Lump-sum investing maximizes immediate market exposure and, historically, has produced higher expected outcomes in markets with positive long-term returns. Dollar-cost averaging trades some of that expected return for reduced emotional strain and lower short-term variability.
A simplified numerical comparison illustrates this trade-off. If $120,000 is invested immediately at a market level of 100 and the market rises to 120, the outcome exceeds that of investing $10,000 monthly as prices rise. The difference arises not from better timing skill, but from earlier exposure to growth.
Final perspective on dollar-cost averaging
Dollar-cost averaging is neither a flawed strategy nor a superior one. It is a tool designed to address specific behavioral and psychological challenges associated with investing. When those challenges are present, the strategy can meaningfully improve investor follow-through and discipline.
Used indiscriminately or indefinitely, however, it can reduce expected returns without providing offsetting benefits. Understanding what dollar-cost averaging does and does not accomplish is essential to applying it correctly within a broader portfolio construction framework.