{"id":2238,"date":"2024-06-23T11:24:25","date_gmt":"2024-06-23T15:24:25","guid":{"rendered":"https:\/\/www.kaichen.work\/?p=2238"},"modified":"2024-06-23T16:53:15","modified_gmt":"2024-06-23T20:53:15","slug":"how-to-calculate-book-to-market-exactly","status":"publish","type":"post","link":"https:\/\/www.kaichen.work\/?p=2238","title":{"rendered":"Unlocking the black box: how to calculate book-to-market?"},"content":{"rendered":"<p>The book-to-market ratio (<code>BM<\/code>) is one of the most frequently calculated variables in accounting research and is usually used as a control variable in regressions. However, how to calculate it is a question I often asked when I started my PhD, as nobody defined it clearly in their papers. Should I use <code>CEQ<\/code> or <code>SEQ<\/code>, assets minus liabilities, or something else? This question becomes even more confusing when I realize that finance researchers often define the book value of equity differently from accounting researchers.<\/p>\n<p>A related question is how to verify the basic accounting equation (A = L + E) using Compustat Annual (FUNDA) or Quarterly (FUNDQ) data? To answer this question, I checked the Compustat Manuals &#8211; <a href=\"https:\/\/wrds-www.wharton.upenn.edu\/documents\/900\/Balancing_Models_-_North_America_Company_Data_X1BZb7h.xls\" target=\"_blank\" rel=\"noopener\">Balancing Models &#8211; North American Company Data<\/a>:<\/p>\n<p><a href=\"https:\/\/www.kaichen.work\/wp-content\/uploads\/2024\/06\/Screen-Shot-2024-06-23-at-11.31.32-AM.png\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-2246\" src=\"https:\/\/www.kaichen.work\/wp-content\/uploads\/2024\/06\/Screen-Shot-2024-06-23-at-11.31.32-AM.png\" alt=\"\" width=\"2010\" height=\"1524\" srcset=\"https:\/\/www.kaichen.work\/wp-content\/uploads\/2024\/06\/Screen-Shot-2024-06-23-at-11.31.32-AM.png 2010w, https:\/\/www.kaichen.work\/wp-content\/uploads\/2024\/06\/Screen-Shot-2024-06-23-at-11.31.32-AM-300x227.png 300w, https:\/\/www.kaichen.work\/wp-content\/uploads\/2024\/06\/Screen-Shot-2024-06-23-at-11.31.32-AM-1024x776.png 1024w, https:\/\/www.kaichen.work\/wp-content\/uploads\/2024\/06\/Screen-Shot-2024-06-23-at-11.31.32-AM-768x582.png 768w, https:\/\/www.kaichen.work\/wp-content\/uploads\/2024\/06\/Screen-Shot-2024-06-23-at-11.31.32-AM-1536x1165.png 1536w\" sizes=\"(max-width: 2010px) 100vw, 2010px\" \/><\/a><\/p>\n<p>Therefore, the basic accounting equation is reflected in the following relationship:<\/p>\n<p><code>AT<\/code> = <code>LSE<\/code><\/p>\n<p>Or <code>AT<\/code> = <code>LT<\/code> + <code>MIB<\/code> + <code>TEQ<\/code><\/p>\n<p>The first equation can be verified using FUNDA data. However, the second equation holds true for only 42% of observations. Further investigation indicates that prior to FASB 160, <code>LSE<\/code> = <code>LT<\/code> + <code>MIB<\/code> + <code>SEQ<\/code>, while after FASB 160, <code>LSE<\/code> = <code>LT<\/code> + <code>MIB<\/code> + <code>TEQ<\/code>. That&#8217;s why the above second equation won&#8217;t hold true prior to FASB 160.<\/p>\n<p>Returning to the initial question, <code>BM<\/code> = Book Value of Equity (<code>BVE<\/code>) \/ Market Value of Equity (<code>MVE<\/code>). When calculating <code>MVE<\/code>, we appear only able to use <code>MVE<\/code> = <code>csho<\/code> \u00d7 <code>prcc_f<\/code>, where <code>csho<\/code> is the number of common shares outstanding, and <code>prcc_f<\/code> is the share price at the fiscal year-end. Therefore, <code>MV<\/code> will be the market value of common shares. To match this, it seems appropriate to define <code>BVE<\/code> as <code>ceq<\/code>(also common shares), and thus <code>BM<\/code> = <code>ceq<\/code> \/ (<code>csho<\/code> \u00d7 <code>prcc_f<\/code>).<\/p>\n<p>In contrast, in the sample code provided by WRDS to replicate Fama-Frech&#8217;s three factors, as well as in the Financial Ratios macro provided by WRDS, <code>BVE<\/code> = <code>seq<\/code> + <code>txditc<\/code> &#8211; <code>pstk<\/code>. The definitions of these variables can be found in the above figure. Although <code>seq<\/code> &#8211; <code>pstk<\/code> = <code>ceq<\/code>, I have no clue why <code>txditc<\/code> should be added. Perhaps finance researchers can shed light on this.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>The book-to-market ratio (BM) is one of the most frequently calculated variables in accounting research and is usually used as a control variable in regressions. However, how to calculate it is a question I often asked when I started my &hellip; <a href=\"https:\/\/www.kaichen.work\/?p=2238\">Continue reading <span class=\"meta-nav\">&rarr;<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[11],"tags":[16],"_links":{"self":[{"href":"https:\/\/www.kaichen.work\/index.php?rest_route=\/wp\/v2\/posts\/2238"}],"collection":[{"href":"https:\/\/www.kaichen.work\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.kaichen.work\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.kaichen.work\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.kaichen.work\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=2238"}],"version-history":[{"count":9,"href":"https:\/\/www.kaichen.work\/index.php?rest_route=\/wp\/v2\/posts\/2238\/revisions"}],"predecessor-version":[{"id":2252,"href":"https:\/\/www.kaichen.work\/index.php?rest_route=\/wp\/v2\/posts\/2238\/revisions\/2252"}],"wp:attachment":[{"href":"https:\/\/www.kaichen.work\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=2238"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.kaichen.work\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=2238"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.kaichen.work\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=2238"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}