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</script><!-- hexo injector head_end end --><meta name="generator" content="Hexo 7.2.0"></head><body class="is-2-column"><nav class="navbar navbar-main"><div class="container navbar-container"><div class="navbar-brand justify-content-center"><a class="navbar-item navbar-logo" href="/"><img src="/assets/bar.png" alt="CodeFox" height="28"></a></div><div class="navbar-menu"><div class="navbar-start"><a class="navbar-item" href="/">首页</a><a class="navbar-item" href="/archives">所有文章</a><a class="navbar-item" href="/categories">分类</a><a class="navbar-item" href="/tags">标签</a><a class="navbar-item" href="/statalearn">Stata学习专栏</a><a class="navbar-item" href="/stata">Stata自定义命令</a><a class="navbar-item" href="/about">关于我</a></div><div class="navbar-end"><a class="navbar-item is-hidden-tablet catalogue" title="目录" href="javascript:;"><i class="fas fa-list-ul"></i></a><a class="navbar-item search" title="搜索" href="javascript:;"><i class="fas fa-search"></i></a></div></div></div></nav><section class="section"><div class="container"><div class="columns"><div class="column order-2 column-main is-8-tablet is-8-desktop is-8-widescreen"><div class="card"><article class="card-content article" role="article"><div class="content"><h1 id="Stata-学习专栏"><a href="#Stata-学习专栏" class="headerlink" title="Stata 学习专栏"></a><center>Stata 学习专栏</center></h1><p>作者：<em>CodeFox</em></p>
<p>更新时间：2024-08-25</p>
<blockquote>
<p>💡 这是一本 Stata 与公司金融计量的入门级在线教程，内容还在更新中，预计非常长。。。耐心看完应该还是能有所收获的（希望）</p>
</blockquote>
<h2 id="框架图"><a href="#框架图" class="headerlink" title="框架图"></a>框架图</h2><center><img src="https://raw.githubusercontent.com/codefoxs/picgo/main/202408250057654.png"></center>
<h2 id="1-数据获取与预处理"><a href="#1-数据获取与预处理" class="headerlink" title="1. 数据获取与预处理"></a>1. 数据获取与预处理</h2><h3 id="1-1-常见数据来源：CSMAR-yyds"><a href="#1-1-常见数据来源：CSMAR-yyds" class="headerlink" title="1.1 常见数据来源：CSMAR yyds"></a>1.1 常见数据来源：CSMAR yyds</h3><p>常见的数据来源包括如下几个：</p>
<h4 id="1-1-1-国泰安数据库"><a href="#1-1-1-国泰安数据库" class="headerlink" title="1.1.1 国泰安数据库"></a>1.1.1 国泰安数据库</h4><p><a target="_blank" rel="noopener" href="https://data.csmar.com/">https://data.csmar.com/</a></p>
<p>你能想到的数据基本都在这里，企业财务报表、各种计算好的指标（如盈余管理、融资约束、股价崩盘）、上市公司股价收益率、市场收益率、Fama 因子等。</p>
<center><img src="https://raw.githubusercontent.com/codefoxs/picgo/main/202408221934187.png"></center>
<h4 id="1-1-2-CNRDS数据库"><a href="#1-1-2-CNRDS数据库" class="headerlink" title="1.1.2 CNRDS数据库"></a>1.1.2 CNRDS数据库</h4><p><a target="_blank" rel="noopener" href="https://www.cnrds.com/Home">https://www.cnrds.com/Home</a></p>
<p>试图替代 CSMAR 的后起之秀，比起 CSMAR，多了许多特色数据库，如年报、管理层讨论与分析文本和语气、业绩说明会文本等等。如果学校没买库，可以试着去咸鱼找人代下。</p>
<center><img src="https://raw.githubusercontent.com/codefoxs/picgo/main/202408250102930.png"></center>
<h4 id="1-1-3-RESSET-金融大数据平台"><a href="#1-1-3-RESSET-金融大数据平台" class="headerlink" title="1.1.3 RESSET 金融大数据平台"></a>1.1.3 RESSET 金融大数据平台</h4><p><a target="_blank" rel="noopener" href="https://www.resset.cn/">https://www.resset.cn/</a></p>
<p>一般需要从自己的图书馆进去，不常用，除非是比较喜欢做股价研究的。</p>
<center><img src="https://raw.githubusercontent.com/codefoxs/picgo/main/202408250105826.png"></center>
<h4 id="1-1-4-Wind终端"><a href="#1-1-4-Wind终端" class="headerlink" title="1.1.4 Wind终端"></a>1.1.4 Wind终端</h4><p>通常需要学校的电脑提供，一般不会提供账号（除非去机构上班）</p>
<p>同类的有国外的 Bloomberge、汤森路透等</p>
<p>国内同类的平替有 Choice（东方财富网）和 iFind，建议使用 Choice（ <a target="_blank" rel="noopener" href="https://choice.eastmoney.com/">https://choice.eastmoney.com/</a> ），使用高校认证可以白嫖</p>
<p>数据是比较权威。。。但是不好操作和下载，对于案例分析来说还挺好的一平台。</p>
<center><img src="https://raw.githubusercontent.com/codefoxs/picgo/main/202408250107170.png"></center>
<h4 id="1-1-5-经管之家、闲鱼、马克数据网、数据皮皮侠、众鲤数据网"><a href="#1-1-5-经管之家、闲鱼、马克数据网、数据皮皮侠、众鲤数据网" class="headerlink" title="1.1.5 经管之家、闲鱼、马克数据网、数据皮皮侠、众鲤数据网"></a>1.1.5 经管之家、闲鱼、马克数据网、数据皮皮侠、众鲤数据网</h4><p>一些需要甄别的数据来源，但不得不说，这些平台的存在极大地丰富了科研工作。</p>
<hr>
<h3 id="1-2-数据预处理步骤：从下载到描述性统计"><a href="#1-2-数据预处理步骤：从下载到描述性统计" class="headerlink" title="1.2 数据预处理步骤：从下载到描述性统计"></a>1.2 数据预处理步骤：从下载到描述性统计</h3><p>主要参考文章：<a href="./2023/01/06/4-%E5%85%AC%E5%8F%B8%E9%87%91%E8%9E%8D%E5%B8%B8%E7%94%A8Stata%E4%BB%A3%E7%A0%81/">公司金融常用Stata代码</a></p>
<blockquote>
<p>💡以 CSMAR 为例，下载企业基本信息表、资产负债表和利润表</p>
</blockquote>
<h4 id="1-2-1-数据下载"><a href="#1-2-1-数据下载" class="headerlink" title="1.2.1 数据下载"></a>1.2.1 数据下载</h4><p><strong>（1）下载上市公司基本信息</strong></p>
<p>依次选择数据中心、公司研究系列、上市公司基本信息</p>
<center><img src="https://raw.githubusercontent.com/codefoxs/picgo/main/202408261919960.png"></center>
<p>选择合适的年份与样本区间</p>
<blockquote>
<p>❗不要选择剔除金融或者剔除 ST 的样本，这些操作在 Stata 中实现更好，因为计算时可能需要用到 <em>t</em> - 1 的数据，这里尽可能保证数据的完整性</p>
</blockquote>
<center><img src="https://raw.githubusercontent.com/codefoxs/picgo/main/202408261923896.png"></center>
<p>在左侧选择需要的数据，点击即可移动到右侧</p>
<center><img src="https://raw.githubusercontent.com/codefoxs/picgo/main/202408261929568.png"></center>
<p>选择默认的数据格式（其他的可能会错乱），然后点击下载即可得到一个 zip 压缩包</p>
<center><img src="https://raw.githubusercontent.com/codefoxs/picgo/main/202408261930355.png"></center>
<p>复制 zip 文件的绝对路径后</p>
<center><img src="https://raw.githubusercontent.com/codefoxs/picgo/main/202408261935150.png"></center>
<p>打开 Stata，输入如下代码：</p>
<figure class="highlight stata"><table><tr><td class="gutter"><pre><span class="line">1</span><br></pre></td><td class="code"><pre><span class="line">csmar <span class="string">"D:\code\Stata\stata-learn\上市公司基本信息年度表.zip"</span></span><br></pre></td></tr></table></figure>
<blockquote>
<p>💡csmar 命令是我的自定义命令，可以通过如下代码下载</p>
<figure class="highlight stata"><table><tr><td class="gutter"><pre><span class="line">1</span><br></pre></td><td class="code"><pre><span class="line"><span class="keyword">net</span> install csmar, from(<span class="string">"https://raw.githubusercontent.com/codefoxs/Stata-personal/main/csmar/"</span>) <span class="keyword">replace</span></span><br></pre></td></tr></table></figure>
</blockquote>
<p>显示如下结果则证明数据成功</p>
<center><img src="https://raw.githubusercontent.com/codefoxs/picgo/main/202408261936254.png"></center>
<p>然后将数据另存为<code>上市公司基本信息-2000to2023.dta</code> 即可</p>
<center><img src="https://raw.githubusercontent.com/codefoxs/picgo/main/202408261941985.png"></center>
<p><strong>（2）下载企业资产负债表</strong></p>
<p>类似的，选中财务报表数据库</p>
<center><img src="https://raw.githubusercontent.com/codefoxs/picgo/main/202408261948942.png"></center>
</div><div class="article-licensing box"><div class="licensing-title"><p><a href="https://codefoxs.github.io/statalearn.html">https://codefoxs.github.io/statalearn.html</a></p></div><div class="licensing-meta level is-mobile"><div class="level-left"><div class="level-item is-narrow"><div><h6>作者</h6><p>CodeFox</p></div></div><div class="level-item is-narrow"><div><h6>发布于</h6><p>2024-08-26</p></div></div><div class="level-item is-narrow"><div><h6>更新于</h6><p>2024-08-26</p></div></div><div class="level-item is-narrow"><div><h6>许可协议</h6><p><a class="icons" rel="noopener" target="_blank" title="Creative Commons" href="https://creativecommons.org/"><i class="icon fab fa-creative-commons"></i></a><a class="icons" rel="noopener" target="_blank" title="Attribution" href="https://creativecommons.org/licenses/by/4.0/"><i class="icon fab fa-creative-commons-by"></i></a><a class="icons" rel="noopener" target="_blank" title="Noncommercial" href="https://creativecommons.org/licenses/by-nc/4.0/"><i 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