Dollar-Cost Averaging Strategy
Definition
An investment technique of regularly investing a fixed amount of money regardless of market conditions, reducing the impact of volatility on the overall purchase price.
Dollar-cost averaging is the practice of investing a fixed dollar amount at regular intervals, such as weekly or monthly, regardless of whether the market is up or down. When prices are low, the fixed amount buys more shares. When prices are high, it buys fewer shares. Over time, this tends to result in a lower average cost per share compared to making a single lump-sum investment at the wrong time.
This strategy is built into many workplace retirement plans, where employees contribute a set percentage of each paycheck to their 401(k) regardless of market conditions. Studies show that while lump-sum investing tends to outperform dollar-cost averaging about two-thirds of the time in rising markets, dollar-cost averaging provides emotional benefits by reducing regret risk and encouraging consistent investing discipline.
Dollar-cost averaging is particularly valuable for new investors who might otherwise try to time the market, a strategy that research consistently shows fails for the vast majority of individual investors. By automating investments and removing emotional decision-making, dollar-cost averaging helps build wealth steadily over decades.
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Related Terms
Dollar-Cost Averaging
financeAn investment strategy of contributing a fixed dollar amount at regular intervals regardless of market price, reducing the impact of volatility.
Compound Interest
financeInterest calculated on both the initial principal and the accumulated interest from previous periods, causing wealth to grow exponentially over time.
Index Fund
financeA type of mutual fund or ETF designed to track the performance of a specific market index, offering broad diversification at low cost.
Volatility
financeA statistical measure of the dispersion of returns for a given security or market index, representing the degree of price fluctuation over time.
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