{
  "article_id": "001",
  "title": "量化课堂因子研究系列之四——市值与行业的中性化量化课堂",
  "category": "data_processing",
  "crawl_date": "2026-03-25",
  "content": "本文详细介绍了因子研究中的市值与行业中性化技术，包括：1. 中性化的目的和意义；2. 行业分类标准；3. 市值中性化方法；4. 实际应用案例；5. 常见问题和解决方案。",
  "technical_points": [
    "数据标准化方法：Z-score标准化、Min-Max标准化",
    "行业中性化：申万行业分类、中信行业分类",
    "市值中性化：对数市值、分位数回归",
    "数据质量检查：异常值检测、缺失值处理"
  ],
  "code_examples": [
    "def neutralize_factor(factor_data, industry_data, market_cap_data):\n    \"\"\"因子中性化函数\"\"\"\n    # 行业中性化\n    factor_neutral = factor_data - industry_effect\n    # 市值中性化\n    factor_neutral = factor_neutral - market_cap_effect\n    return factor_neutral"
  ],
  "metadata": {
    "word_count": 2567,
    "technical_depth": "high",
    "practical_value": "high",
    "processing_status": "completed"
  }
}