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Analysis of Balanced Strategies Between 'Stock Accumulation' and 'Trading for Price Differences' for Value Investors

#价值投资 #攒股策略 #做差价 #股息投资 #长期持有
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December 23, 2025

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Analysis of Balanced Strategies Between 'Stock Accumulation' and 'Trading for Price Differences' for Value Investors

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000568.SZ
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601088.SH
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601088.SH
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Comprehensive Analysis
1. Core Strategy Differences and Performance Comparison

“Stock accumulation” refers to long-term holding to accumulate equity, relying on dividend reinvestment and long-term price appreciation; “trading for price differences” is short-term trading to capture price fluctuations. Taking the data of Luzhou Laojiao and China Shenhua over the past 5 years as examples:

  • China Shenhua (601088.SH)
    :From 2020 to 2025, the stock price increased by 60.3%, with a dividend yield of 7.4%-10.2%. The total return from long-term holding was approximately 115.86%, with an annual compound return of 16.8% [0]; the average return for frequent traders was only 42% [1].
  • Luzhou Laojiao (000568.SZ)
    :Although the stock price slightly dropped by 0.53% in the past 5 years, the total return from 2015 to 2025 exceeded 800%, and dividends continued to grow; frequent traders could hardly capture all the gains [0,1].
2. Priority of ‘Stock Accumulation’: Accumulate Critical Equity to Achieve Freedom

The core of ‘stock accumulation’ is to accumulate enough shares so that dividend income covers daily expenses. For example, China Shenhua distributed 22.5 yuan per 10 shares in 2024; if holding 100,000 shares, annual dividends reach 225,000 yuan [0]; Luzhou Laojiao distributed 58 yuan per 10 shares in 2024, and 10,000 shares yield an annual dividend of 58,000 yuan [0]. After reaching this critical value, investors gain investment freedom and can flexibly choose strategies.

Key Insights
1. Risk of ‘Putting the Cart Before the Horse’ in Short-Term Trading

Before accumulating enough shares, frequent trading for price differences is prone to the following problems:

  • Transaction Cost Attrition
    : Costs like commissions and stamp duties reduce the compound interest effect [1].
  • Missing Long-Term Gains
    : For example, Luzhou Laojiao’s 800% gain from 2015 to 2025 is hard for frequent traders to hold through the entire period [2].
  • Distraction of Energy
    : Affects long-term judgment of the company’s fundamentals [1].
2. Core Principles of Balanced Strategy

After reaching the critical shareholding value, ‘trading for price differences’ can be used as an auxiliary strategy, but the following rules must be followed:

  • Proportion Limit
    : Only use less than 10% of the position for trading price differences, without affecting core equity [1].
  • Valuation-Driven
    : Only trade when the stock price deviates from intrinsic value by more than 20% [1].
  • Profit Reinvestment
    : All trading profits are used to increase share holdings to accelerate accumulation [1].
Risk and Opportunity
Risks
  • Market Risk of Trading Price Differences
    : Luzhou Laojiao’s stock price volatility is 25%, so short-term trading is prone to losses due to timing errors [0].
  • Dividend Policy Changes
    : If China Shenhua’s dividends decrease, the accumulation period for critical equity will be extended [0].
Opportunities
  • High Dividend Reinvestment
    : China Shenhua’s high dividends can accelerate equity accumulation [0].
  • Valuation Deviation Opportunities
    : When Luzhou Laojiao’s stock price is overvalued, trading for price differences can obtain additional shares [1].
Key Information Summary
  1. ‘Stock Accumulation’ as Foundation
    : Prioritize high-dividend, fundamentally stable targets (e.g., China Shenhua), and accumulate critical equity through long-term holding and dividend reinvestment [0,1].
  2. ‘Trading for Price Differences’ as Supplement
    : After shareholdings reach the point where dividends cover daily expenses, conduct short-term trading strictly according to rules, using only idle funds to avoid affecting long-term positions [1].
  3. Avoid Complications
    : Simple stock accumulation strategies often bring better long-term results; avoid over-trading and decision-making entanglement [1].
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Insights are generated using AI models and historical data for informational purposes only. They do not constitute investment advice or recommendations. Past performance is not indicative of future results.