量化不掉发
Hugo_Ahgp欢迎来到《量化不掉发》。本节目致力于用最易懂的方式，为您深入浅出地拆解一线券商的金融工程研报与前沿的量化金融论文。我们助您剥离复杂的数学公式，直击模型背后的核心思想与实战价值，轻松跟上量化领域的技术迭代。在这里，知识增长与保住发际线可以兼得。
| Publishes | Twice monthly | Episodes | 37 | Founded | 9 months ago |
|---|---|---|---|---|---|
| Language |  ZH-CN | Number of Listeners | Categories | EducationBusiness |
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Latest Episodes
寻找股市“预言家”：为什么分析师的预测往往不如数学模型？
1. 引言：投资中的“信息差”与业绩预期的魔力
在投资的世界里，最令人向往的莫过于拥有一双洞察未来的“天眼”。想象一下，如果你能提前知道上市公司下一季度的净利润增速，你的投资收益将达到什么水平？
招商证券曾做过一项震撼的实证研究：假设我们处于“上帝视角”，预知下一期净利润增速并构建未来成长组合。在 2010 年至 2025 年的长周期回测中，该组合的年化收益率接近 17%。这 17% 实际上揭示了业绩预期的“理论收益天花板”，也正是净利润... more
20260413-天风证券-因子选股系列之一：现金流实现率因子
因子逻辑全解析：现金流实现率及其增强模型
在量化投资领域，盈余质量（Earnings Quality）的研究始终是核心课题。尽管利润表上的数字引人注目，但从学术界到实战派都深知一个市场真相：利润的“含金量”远比数字本身重要。本指南将带你从应计异象（Accrual Anomaly）出发，拆解现金流实现率（CRR）因子的构建逻辑及其进化路径。
1. 核心矛盾：为什么传统的“应计利润”因子会失效？
量化研究的基石之一是 Sloan (19... more
Model Predictive Control For Trade Execution
交易执行的“自动驾驶”：深度解析模型预测控制（MPC）如何改写算法交易游戏规则
1. 引言：大单执行的“大象进瓷器店”困境
在现代高频波动的数字市场中，执行一笔巨额机构订单（Parent Order）就像是让一只大象走进一家精美的瓷器店。交易员面临着一个经典且痛苦的权衡：如果你追求执行速度，大规模的扫单动作会像大象摔跤一样产生巨大的市场冲击（Market Impact），打碎“价格瓷器”；如果你为了隐藏踪迹... more
20260311-国金证券-大模型赋能投研之十九：主观投资框架验证与个股决策Agent
AI 正在“偷学”顶级分析师的脑回路：17% 超额收益背后的投研革命
1. 引言：当人类分析师遇上“快进键”的 A 股
在当前的 A 股市场，行业轮动的速度已不仅仅是“快”，而是被按下了“快进键”。从卫星通信、脑机接口到层出不穷的 AI 应用，新兴赛道以周为单位快速切换，申万一级行业间的年度收益“极差”在 2025 年显著扩大。这种极端的结构性分化，让主动投研面临严峻挑战。
一方面，个人分析师的精力难以覆盖数... more
20260310-招商证券-市场风格轮动系列：基于相似性算法的风格轮动策略
历史会重演吗？利用相似性算法破解风格轮动的“财富密码”
面对大小盘切换的迅猛、成长与价值风格的剧烈轮动，投资者常陷入一种“西西弗斯式”的困境：刚踏入小盘股的红利期，市场便转向蓝筹；刚切换至价值防御，成长股便拔地而起。我们常有一种直觉——当下的行情走势，似乎在历史的某个镜像时刻上演过。
这种“以史为鉴”的朴素直觉，在量化金融领域正被转化为可实证的精密武器。通过相似性算法（Similarity Algorithms），我们可... more
20251216-方正证券-多因子选股系列研究之二十四：个股日内成交量周期性节奏刻画与“滴水穿石”因子构建
顶尖量化报告揭秘：为什么“沉闷”的交易节奏，反而预示着股票的惊人回报？
引言：我们是否看错了成交量？
当您看到某只股票的成交量在盘中突然暴增，K线图上拔地而起一根巨大的量柱时，您的第一反应是什么？是觉得“有大事发生”，认为这是一个不容错过的买入信号吗？这几乎是所有投资者的本能反应——成交量的“爆发”似乎总是与机会划上等号。
但我们是否有可能看错了重点？我们对“爆发”的关注，会不会让我们忽略... more
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量化不掉发 launched 9 months ago and published 37 episodes to date. You can find more information about this podcast including rankings, audience demographics and engagement in our podcast database.
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