{"id":10820,"date":"2026-09-22T06:00:00","date_gmt":"2026-09-21T21:00:00","guid":{"rendered":"https:\/\/triumphmind.com\/cfa\/2026\/09\/22\/cfa-l2-quants-lm3\/"},"modified":"2026-09-22T07:05:24","modified_gmt":"2026-09-21T22:05:24","slug":"cfa-l2-quants-lm3","status":"publish","type":"post","link":"https:\/\/triumphmind.com\/cfa\/2026\/09\/22\/cfa-l2-quants-lm3\/","title":{"rendered":"\u3010CFA\u00ae\ufe0e L2 Quants LM3\u3011Model Misspecification \u3092\u8981\u70b9\u89e3\u8aac\uff5c\u4e0d\u5747\u4e00\u5206\u6563\u30fb\u7cfb\u5217\u76f8\u95a2\u30fb\u591a\u91cd\u5171\u7dda\u6027\u30fb\u30ed\u30d0\u30b9\u30c8\u6a19\u6e96\u8aa4\u5dee"},"content":{"rendered":"<style>\n.cfalm-los{counter-reset:los;list-style:none;padding:0!important;margin:1em 0!important}\n.cfalm-los li{border:1px solid #d5d9e3;border-left:4px solid #172152;border-radius:4px;padding:.8em 1em!important;margin:0 0 .8em!important;background:#fff}\n.cfalm-los li::before{display:none!important;content:none!important}\n.cfalm-los .ja{display:block;font-weight:bold;color:#172152;line-height:1.6}\n.cfalm-los .en{display:block;font-size:.85em;color:#667;margin-top:.3em;line-height:1.5;word-break:normal!important;overflow-wrap:anywhere}\n.cfalm-sum{background:#f6f7fb;border-radius:6px;padding:1em 1.2em!important;margin:1em 0!important;list-style:none!important}\n.cfalm-sum li{position:relative;margin:.4em 0!important;padding:0 0 0 1.1em!important;line-height:1.7;list-style:none!important}.cfalm-sum li::before{content:\"\"!important;display:block!important;position:absolute!important;left:0!important;top:.7em!important;width:6px!important;height:6px!important;border-radius:50%!important;background:#172152!important;border:none!important;transform:none!important}\n.cfalm-f{background:#f6f7fb;border-left:4px solid #172152;padding:.7em 1em;margin:.8em 0;font-family:\"Menlo\",\"Consolas\",monospace;font-size:.95em;overflow-x:auto}\n.cfalm-nav{background:#f6f7fb;padding:1em 1.2em;border-radius:6px;margin:1em 0;word-break:normal;overflow-wrap:anywhere}\n<\/style>\n<div class=\"box05\">\n<p>Learning Module 3\u300cModel Misspecification\uff08\u30e2\u30c7\u30eb\u306e\u8aa4\u7279\u5b9a\uff09\u300d\u306f\u3001\u56de\u5e30\u30e2\u30c7\u30eb\u306e\u8aa4\u7279\u5b9a\uff08misspecification\uff09\u306e\u5f71\u97ff\u3068\u907f\u3051\u65b9\u3001\u4e0d\u5747\u4e00\u5206\u6563\u30fb\u7cfb\u5217\u76f8\u95a2\u30fb\u591a\u91cd\u5171\u7dda\u6027\u306e3\u3064\u306e\u524d\u63d0\u9055\u53cd\u304c\u7d71\u8a08\u7684\u63a8\u8ad6\u306b\u4e0e\u3048\u308b\u5f71\u97ff\u3068\u3001\u305d\u306e\u767a\u898b\u65b9\u6cd5\u30fb\u5bfe\u51e6\u6cd5\u3092\u6271\u3046\u5358\u5143\u3067\u3059\u3002<\/p>\n<p>\u672c\u8a18\u4e8b\u3067\u306f\u3001\u6700\u65b0\u7248\u30ab\u30ea\u30ad\u30e5\u30e9\u30e0\u306eLOS\uff08Learning Outcome Statement\uff09\u3068\u3001\u3053\u306e\u5358\u5143\u306e\u91cd\u8981\u8ad6\u70b9\u3092\u65e5\u672c\u8a9e\u3067\u6574\u7406\u3057\u307e\u3057\u305f\u3002<\/p>\n<\/div>\n<h2>LM3\u306eLOS\uff08\u5b66\u7fd2\u76ee\u6a19\uff09<\/h2>\n<p>LOS\u306f\u3001\u3053\u306e\u5358\u5143\u3067\u300c\u3067\u304d\u308b\u3088\u3046\u306b\u306a\u308b\u3079\u304d\u3053\u3068\u300d\u3068\u3057\u3066\u793a\u3055\u308c\u3066\u3044\u308b\u5b66\u7fd2\u76ee\u6a19\u3067\u3059\u3002LM3\u306b\u306f4\u3064\u306eLOS\u304c\u3042\u308a\u307e\u3059\u3002<\/p>\n<ol class=\"cfalm-los\">\n<li><span class=\"ja\">LOS 1\uff1a\u30e2\u30c7\u30eb\u306e\u8aa4\u7279\u5b9a\u304c\u56de\u5e30\u5206\u6790\u306e\u7d50\u679c\u306b\u4e0e\u3048\u308b\u5f71\u97ff\u3068\u3001\u3088\u304f\u3042\u308b\u8aa4\u7279\u5b9a\u306e\u907f\u3051\u65b9\u3092\u8aac\u660e\u3059\u308b<\/span><span class=\"en\">describe how model misspecification affects the results of a regression analysis and how to avoid common forms of misspecification<\/span><\/li>\n<li><span class=\"ja\">LOS 2\uff1a\u4e0d\u5747\u4e00\u5206\u6563\u306e\u7a2e\u985e\u3068\u3001\u305d\u308c\u304c\u7d71\u8a08\u7684\u63a8\u8ad6\u306b\u4e0e\u3048\u308b\u5f71\u97ff\u3092\u8aac\u660e\u3059\u308b<\/span><span class=\"en\">explain the types of heteroskedasticity and how it affects statistical inference<\/span><\/li>\n<li><span class=\"ja\">LOS 3\uff1a\u7cfb\u5217\u76f8\u95a2\u3068\u3001\u305d\u308c\u304c\u7d71\u8a08\u7684\u63a8\u8ad6\u306b\u4e0e\u3048\u308b\u5f71\u97ff\u3092\u8aac\u660e\u3059\u308b<\/span><span class=\"en\">explain serial correlation and how it affects statistical inference<\/span><\/li>\n<li><span class=\"ja\">LOS 4\uff1a\u591a\u91cd\u5171\u7dda\u6027\u3068\u3001\u305d\u308c\u304c\u56de\u5e30\u5206\u6790\u306b\u4e0e\u3048\u308b\u5f71\u97ff\u3092\u8aac\u660e\u3059\u308b<\/span><span class=\"en\">explain multicollinearity and how it affects regression analysis<\/span><\/li>\n<\/ol>\n<h2>LM3\u306e\u307e\u3068\u3081<\/h2>\n<p>\u3053\u306e\u5358\u5143\u306e\u8981\u70b9\u3092\u307e\u3068\u3081\u308b\u3068\u3001\u6b21\u306e\u3068\u304a\u308a\u3067\u3059\u3002<\/p>\n<ul class=\"cfalm-sum\">\n<li>\u9069\u5207\u306a\u30e2\u30c7\u30eb\u7279\u5b9a\u306e\u539f\u5247\u306f\u3001\u7d4c\u6e08\u7684\u6839\u62e0\u306b\u57fa\u3065\u304f\u5909\u6570\u9078\u629e\u3001\u7c21\u6f54\u3055\uff08parsimony\uff09\u3001\u826f\u597d\u306a\u30b5\u30f3\u30d7\u30eb\u5916\u306e\u4e88\u6e2c\u529b\u3001\u9069\u5207\u306a\u95a2\u6570\u5f62\u3001\u524d\u63d0\u6761\u4ef6\u306e\u9055\u53cd\u304c\u306a\u3044\u3053\u3068<\/li>\n<li>\u95a2\u6570\u5f62\u306e\u8aa4\u308a\u306f\u3001\u5909\u6570\u306e\u6b20\u843d\u3001\u4e0d\u9069\u5207\u306a\u5909\u6570\u306e\u5f62\u3001\u4e0d\u9069\u5207\u306a\u30b9\u30b1\u30fc\u30ea\u30f3\u30b0\u3001\u4e0d\u9069\u5207\u306a\u30c7\u30fc\u30bf\u306e\u30d7\u30fc\u30ea\u30f3\u30b0\u304b\u3089\u751f\u3058\u3001\u524d\u63d0\u6761\u4ef6\u306e\u9055\u53cd\u306b\u3064\u306a\u304c\u308b<\/li>\n<li>\u4e0d\u5747\u4e00\u5206\u6563\u306f\u8aa4\u5dee\u306e\u5206\u6563\u304c\u89b3\u6e2c\u5024\u3054\u3068\u306b\u7570\u306a\u308b\u72b6\u614b\u3002\u72ec\u7acb\u5909\u6570\u3068\u7121\u95a2\u4fc2\u306a\u7121\u6761\u4ef6\u4ed8\u304d\u3068\u3001\u72ec\u7acb\u5909\u6570\u3068\u76f8\u95a2\u3059\u308b\u6761\u4ef6\u4ed8\u304d\u304c\u3042\u308b<\/li>\n<li>\u6761\u4ef6\u4ed8\u304d\u4e0d\u5747\u4e00\u5206\u6563\u306f\u6a19\u6e96\u8aa4\u5dee\u3092\u904e\u5c0f\u8a55\u4fa1\u3055\u305b\u3001t \u5024\u304c\u904e\u5927\u3068\u306a\u3063\u3066\u7b2c1\u7a2e\u306e\u904e\u8aa4\u304c\u8d77\u304d\u3084\u3059\u304f\u306a\u308b\u3002BP \u691c\u5b9a\u3067\u767a\u898b\u3057\u3001\u30ed\u30d0\u30b9\u30c8\u6a19\u6e96\u8aa4\u5dee\u3067\u4fee\u6b63\u3059\u308b<\/li>\n<li>\u7cfb\u5217\u76f8\u95a2\u306f\u8aa4\u5dee\u304c\u89b3\u6e2c\u5024\u9593\u3067\u76f8\u95a2\u3059\u308b\u72b6\u614b\u3067\u3001\u6642\u7cfb\u5217\u56de\u5e30\u3067\u7279\u306b\u554f\u984c\u306b\u306a\u308b\u3002\u6a19\u6e96\u8aa4\u5dee\u306e\u904e\u5c0f\u8a55\u4fa1\u3092\u62db\u304d\u3001\u30e9\u30b0\u4ed8\u304d\u5f93\u5c5e\u5909\u6570\u304c\u3042\u308b\u5834\u5408\u306f\u4fc2\u6570\u3082\u4e00\u81f4\u6027\u3092\u5931\u3046<\/li>\n<li>\u7cfb\u5217\u76f8\u95a2\u306f BG \u691c\u5b9a\u3067\u767a\u898b\u3057\u3001\u7cfb\u5217\u76f8\u95a2\u3068\u6761\u4ef6\u4ed8\u304d\u4e0d\u5747\u4e00\u5206\u6563\u306e\u4e21\u65b9\u306b\u5bfe\u5fdc\u3059\u308b\u30ed\u30d0\u30b9\u30c8\u6a19\u6e96\u8aa4\u5dee\u3067\u4fee\u6b63\u3059\u308b<\/li>\n<li>\u591a\u91cd\u5171\u7dda\u6027\u306f\u72ec\u7acb\u5909\u6570\u9593\u306e\u76f8\u95a2\u304c\u9ad8\u3044\u72b6\u614b\u3067\u3001\u6a19\u6e96\u8aa4\u5dee\u304c\u81a8\u3089\u307f t \u5024\u304c\u5c0f\u3055\u304f\u306a\u308b\u3002VIF \u3067\u6e2c\u5b9a\u3059\u308b<\/li>\n<\/ul>\n<p>\u4ee5\u4e0b\u3001LOS\u3054\u3068\u306b\u91cd\u8981\u8ad6\u70b9\u3092\u6574\u7406\u3057\u307e\u3059\u3002<\/p>\n<h3>LOS 1\uff1a\u30e2\u30c7\u30eb\u306e\u8aa4\u7279\u5b9a\u3068\u305d\u306e\u56de\u907f<\/h3>\n<p>\u30e2\u30c7\u30eb\u306e\u8aa4\u7279\u5b9a\u3068\u306f\u3001\u5909\u6570\u306e\u9078\u3073\u65b9\u3084\u95a2\u6570\u5f62\u304c\u9069\u5207\u3067\u306a\u3044\u3053\u3068\u3067\u3059\u3002<strong>\u91cd\u8981\u306a\u5909\u6570\u306e\u6b20\u843d<\/strong>\u306f\u6b8b\u308b\u4fc2\u6570\u3092\u504f\u3089\u305b\uff08\u30d0\u30a4\u30a2\u30b9\uff09\u3001\u4e00\u81f4\u6027\u3092\u5931\u308f\u305b\u308b\u306a\u3069\u3001\u63a8\u5b9a\u7d50\u679c\u5168\u4f53\u3092\u3086\u304c\u3081\u307e\u3059\u3002<\/p>\n<ul>\n<li>\u7279\u5b9a\u306e\u539f\u5247\uff1a\u7d4c\u6e08\u7684\u6839\u62e0\u30fb\u7c21\u6f54\u3055\u30fb\u30b5\u30f3\u30d7\u30eb\u5916\u306e\u826f\u597d\u306a\u4e88\u6e2c\u529b\u30fb\u9069\u5207\u306a\u95a2\u6570\u5f62\u30fb\u524d\u63d0\u9055\u53cd\u306a\u3057<\/li>\n<li>\u6b20\u843d\u5909\u6570\uff1a\u6b20\u843d\u5909\u6570\u304c\u542b\u3081\u305f\u5909\u6570\u3068\u76f8\u95a2\u3057\u3066\u3044\u308b\u3068\u4fc2\u6570\u306b\u30d0\u30a4\u30a2\u30b9<\/li>\n<li>\u4e0d\u9069\u5207\u306a\u5909\u6570\u306e\u5f62\uff1a\u975e\u7dda\u5f62\u95a2\u4fc2\u306b\u306f\u5bfe\u6570\u5909\u63db\u306a\u3069\u304c\u5fc5\u8981<\/li>\n<li>\u4e0d\u9069\u5207\u306a\u30b9\u30b1\u30fc\u30ea\u30f3\u30b0\uff1a\u898f\u6a21\u306e\u9055\u3046\u4f01\u696d\u306e\u30c7\u30fc\u30bf\u306f\u6bd4\u7387\u5316\u306a\u3069\u3067\u8abf\u6574<\/li>\n<li>\u4e0d\u9069\u5207\u306a\u30d7\u30fc\u30ea\u30f3\u30b0\uff1a\u69cb\u9020\u306e\u7570\u306a\u308b\u671f\u9593\u30fb\u30b0\u30eb\u30fc\u30d7\u3092\u6df7\u305c\u306a\u3044<\/li>\n<\/ul>\n<h3>LOS 2\uff1a\u4e0d\u5747\u4e00\u5206\u6563\u306e\u7a2e\u985e\u3068\u5f71\u97ff<\/h3>\n<p>\u8aa4\u5dee\u9805\u306e\u5206\u6563\u304c\u4e00\u5b9a\u3067\u306a\u3044\u72b6\u614b\u304c<strong>\u4e0d\u5747\u4e00\u5206\u6563\uff08heteroskedasticity\uff09<\/strong>\u3067\u3059\u3002\u72ec\u7acb\u5909\u6570\u3068\u76f8\u95a2\u3059\u308b<strong>\u6761\u4ef6\u4ed8\u304d\u4e0d\u5747\u4e00\u5206\u6563<\/strong>\u306f\u6a19\u6e96\u8aa4\u5dee\u3092\u904e\u5c0f\u8a55\u4fa1\u3055\u305b\u3001t \u5024\u3092\u904e\u5927\u306b\u3057\u3066\u6709\u610f\u3067\u306a\u3044\u3082\u306e\u3092\u6709\u610f\u3068\u8aa4\u5224\u5b9a\u3055\u305b\u307e\u3059\u3002<\/p>\n<ul>\n<li>\u7121\u6761\u4ef6\u4ed8\u304d\uff1a\u72ec\u7acb\u5909\u6570\u3068\u7121\u95a2\u4fc2\u3067\u3001\u63a8\u8ad6\u4e0a\u306e\u5927\u304d\u306a\u554f\u984c\u306f\u306a\u3044<\/li>\n<li>\u6761\u4ef6\u4ed8\u304d\uff1a\u72ec\u7acb\u5909\u6570\u306e\u5024\u3068\u8aa4\u5dee\u5206\u6563\u304c\u76f8\u95a2\u3057\u3001\u63a8\u8ad6\u3092\u8aa4\u3089\u305b\u308b<\/li>\n<li>\u4fc2\u6570\u306e\u63a8\u5b9a\u5024\u81ea\u4f53\u306f\u4e00\u81f4\u6027\u3092\u4fdd\u3064<\/li>\n<li>\u767a\u898b\uff1aBreusch\u2013Pagan\uff08BP\uff09\u691c\u5b9a\uff08\u6b8b\u5dee\u306e2\u4e57\u3092\u72ec\u7acb\u5909\u6570\u306b\u56de\u5e30\uff09<\/li>\n<li>\u4fee\u6b63\uff1a\u30ed\u30d0\u30b9\u30c8\u6a19\u6e96\u8aa4\u5dee\uff08White \u306e\u6a19\u6e96\u8aa4\u5dee\uff09<\/li>\n<\/ul>\n<div class=\"cfalm-f\">BP = n \u00d7 R\u00b2\uff08\u6b8b\u5dee2\u4e57\u306e\u56de\u5e30\uff09\u3001\u81ea\u7531\u5ea6 k \u306e\u30ab\u30a4\u4e8c\u4e57\u5206\u5e03<\/div>\n<h3>LOS 3\uff1a\u7cfb\u5217\u76f8\u95a2\u306e\u5f71\u97ff\u3068\u691c\u5b9a<\/h3>\n<p>\u8aa4\u5dee\u9805\u3069\u3046\u3057\u304c\u76f8\u95a2\u3057\u3066\u3044\u308b\u72b6\u614b\u304c<strong>\u7cfb\u5217\u76f8\u95a2\uff08\u81ea\u5df1\u76f8\u95a2\uff09<\/strong>\u3067\u3001\u6642\u7cfb\u5217\u30c7\u30fc\u30bf\u3067\u8d77\u304d\u3084\u3059\u3044\u554f\u984c\u3067\u3059\u3002\u6b63\u306e\u7cfb\u5217\u76f8\u95a2\u306f\u6a19\u6e96\u8aa4\u5dee\u3092\u904e\u5c0f\u8a55\u4fa1\u3055\u305b\u3066 t \u5024\u3092\u904e\u5927\u306b\u3057\u3001\u72ec\u7acb\u5909\u6570\u306b\u5f93\u5c5e\u5909\u6570\u306e\u30e9\u30b0\u304c\u542b\u307e\u308c\u308b\u5834\u5408\u306f\u4fc2\u6570\u63a8\u5b9a\u5024\u3082\u4e00\u81f4\u6027\u3092\u5931\u3044\u307e\u3059\u3002<\/p>\n<ul>\n<li>\u6b63\u306e\u7cfb\u5217\u76f8\u95a2\uff1a\u7b2c1\u7a2e\u306e\u904e\u8aa4\u304c\u8d77\u304d\u3084\u3059\u3044<\/li>\n<li>\u30e9\u30b0\u4ed8\u304d\u5f93\u5c5e\u5909\u6570\u3092\u542b\u3080\u30e2\u30c7\u30eb\u3067\u306f\u4fc2\u6570\u304c\u4e00\u81f4\u63a8\u5b9a\u91cf\u3067\u306a\u304f\u306a\u308b<\/li>\n<li>\u767a\u898b\uff1aBreusch\u2013Godfrey\uff08BG\uff09\u691c\u5b9a\uff08\u6b8b\u5dee\u3092\u5143\u306e\u8aac\u660e\u5909\u6570\u3068\u6b8b\u5dee\u306e\u30e9\u30b0\u306b\u56de\u5e30\uff09<\/li>\n<li>BG \u691c\u5b9a\u306e H0\uff1a\u30e9\u30b0\u4ed8\u304d\u6b8b\u5dee\u306e\u4fc2\u6570\u304c\u3059\u3079\u3066\u30bc\u30ed<\/li>\n<li>\u4fee\u6b63\uff1a\u7cfb\u5217\u76f8\u95a2\u306b\u3082\u5bfe\u5fdc\u3057\u305f\u30ed\u30d0\u30b9\u30c8\u6a19\u6e96\u8aa4\u5dee\uff08Newey\u2013West \u306a\u3069\uff09<\/li>\n<\/ul>\n<h3>LOS 4\uff1a\u591a\u91cd\u5171\u7dda\u6027\u306e\u5f71\u97ff\u3068\u6e2c\u5b9a<\/h3>\n<p>\u72ec\u7acb\u5909\u6570\u3069\u3046\u3057\u306e\u76f8\u95a2\u304c\u9ad8\u3044\u72b6\u614b\u304c<strong>\u591a\u91cd\u5171\u7dda\u6027\uff08multicollinearity\uff09<\/strong>\u3067\u3059\u3002\u4fc2\u6570\u306e\u63a8\u5b9a\u5024\u306f\u4e0d\u504f\u306e\u307e\u307e\u3067\u3059\u304c\u6a19\u6e96\u8aa4\u5dee\u304c\u81a8\u3089\u307f\u3001\u500b\u3005\u306e\u4fc2\u6570\u304c\u6709\u610f\u306b\u306a\u308a\u306b\u304f\u304f\u306a\u308a\u307e\u3059\u3002<\/p>\n<ul>\n<li>\u5178\u578b\u7684\u306a\u5146\u5019\uff1aR\u00b2 \u3084 F \u5024\u306f\u9ad8\u3044\u306e\u306b\u500b\u3005\u306e t \u5024\u306f\u6709\u610f\u3067\u306a\u3044<\/li>\n<li>3\u3064\u4ee5\u4e0a\u306e\u5909\u6570\u306e\u8fd1\u4f3c\u7684\u306a\u7dda\u5f62\u7d50\u5408\u3067\u3082\u751f\u3058\u308b<\/li>\n<li>\u6e2c\u5b9a\uff1a\u5206\u6563\u62e1\u5927\u8981\u56e0\uff08VIF\uff09<\/li>\n<li>VIF > 5 \u306f\u8981\u6ce8\u610f\u3001VIF > 10 \u306f\u6df1\u523b\u306a\u591a\u91cd\u5171\u7dda\u6027\u306e\u76ee\u5b89<\/li>\n<li>\u5bfe\u51e6\uff1a\u5909\u6570\u306e\u9664\u5916\u3001\u5225\u306e\u4ee3\u7406\u5909\u6570\u306e\u4f7f\u7528\u3001\u30b5\u30f3\u30d7\u30eb\u306e\u62e1\u5927<\/li>\n<\/ul>\n<div class=\"cfalm-f\">VIFj = 1 \/ (1 \u2212 R\u00b2j)<\/div>\n<h2>\u52b9\u7387\u3088\u304f\u5b66\u3076\u306b\u306f FA-Academy<\/h2>\n<p>CFA\u00ae\ufe0e\u306e\u5354\u4f1a\u30c6\u30ad\u30b9\u30c8\u306f\u82f1\u8a9e\u3067\u5206\u91cf\u3082\u591a\u304f\u30011\u3064\u3072\u3068\u3064\u306e\u5358\u5143\u3092\u82f1\u8a9e\u3060\u3051\u3067\u7406\u89e3\u3057\u3066\u3044\u304f\u306e\u306f\u5927\u304d\u306a\u8ca0\u62c5\u3067\u3059\u3002<\/p>\n<p>FA-Academy\uff08Financial Analyst Academy\uff09\u306f\u3001<strong>\u65e5\u672c\u8a9e\u3067\u5b66\u3079\u308b\u6570\u5c11\u306a\u3044CFA\u00ae\ufe0e\u8a66\u9a13\u30b5\u30dd\u30fc\u30c8<\/strong>\u3067\u3059\u3002\u3053\u308c\u307e\u3067 Level 1 \u304b\u3089 Level 3 \u307e\u3067\u591a\u304f\u306e\u5408\u683c\u8005\u3092\u8f29\u51fa\u3057\u3066\u304a\u308a\u3001\u5408\u683c\u8005\u306e\u65b9\u3005\u3068\u306e\u5bfe\u8ac7\u3082\u6570\u591a\u304f\u516c\u958b\u3057\u3066\u3044\u307e\u3059\u3002\u3069\u3093\u306a\u65b9\u304c\u3001\u3069\u306e\u3088\u3046\u306b\u5408\u683c\u3055\u308c\u305f\u306e\u304b\u306f<a href=\"https:\/\/triumphmind.com\/cfa\/category\/gokaku\/\" target=\"_blank\" rel=\"noopener\">\u5408\u683c\u8005\u5bfe\u8ac7\u30fb\u5408\u683c\u4f53\u9a13\u8ac7\u306e\u4e00\u89a7<\/a>\u304b\u3089\u3054\u89a7\u3044\u305f\u3060\u3051\u307e\u3059\u3002<\/p>\n<ul>\n<li><a href=\"https:\/\/triumphmind.com\/cfa\/level2movie\/\" target=\"_blank\" rel=\"noopener\">Level 2 \u65e5\u672c\u8a9e\u8981\u70b9\u96c6\u306e\u7121\u6599\u30b5\u30f3\u30d7\u30eb\u3092\u53d7\u3051\u53d6\u308b\uff087\u65e5\u9593\u30e1\u30fc\u30eb\u8b1b\u5ea7\uff09<\/a><\/li>\n<li><a href=\"https:\/\/timerex.net\/s\/cfa.tips.slack_2a23\/e72e883e\/\" target=\"_blank\" rel=\"noopener\">\u7121\u6599\u500b\u5225\u9762\u8ac7\u3092\u4e88\u7d04\u3059\u308b\uff08\u5b66\u7fd2\u8a08\u753b\u306e\u3054\u76f8\u8ac7\uff09<\/a><\/li>\n<li><a href=\"https:\/\/triumphmind.com\/cfa\/course\/\" target=\"_blank\" rel=\"noopener\">\u53d7\u8b1b\u6848\u5185\uff08\u30b3\u30fc\u30b9\u4e00\u89a7\u30fb\u53d7\u8b1b\u6599\uff09\u3092\u898b\u308b<\/a><\/li>\n<\/ul>\n<div class=\"cfalm-nav\">\u524d\u306e\u5358\u5143\uff1a<a href=\"https:\/\/triumphmind.com\/cfa\/2026\/09\/22\/cfa-l2-quants-lm2\/\">LM2 Evaluating Regression Model Fit and Interpreting Model Results\uff08\u56de\u5e30\u30e2\u30c7\u30eb\u306e\u5f53\u3066\u306f\u307e\u308a\u3068\u7d50\u679c\u306e\u89e3\u91c8\uff09<\/a><br \/>\n\u6b21\u306e\u5358\u5143\uff1a<a href=\"https:\/\/triumphmind.com\/cfa\/2026\/09\/22\/cfa-l2-quants-lm4\/\">LM4 Extensions of Multiple Regression\uff08\u91cd\u56de\u5e30\u306e\u62e1\u5f35\uff09<\/a><br \/>\n\u5168\u4f53\u306e\u76ee\u6b21\uff1a<a href=\"https:\/\/triumphmind.com\/cfa\/cfa-curriculum\/#l2-quants\">CFA\u00ae\ufe0e \u5b66\u7fd2\u5185\u5bb9\u306e\u76ee\u6b21\uff08Level 2 Quantitative Methods\uff09<\/a><\/div>\n","protected":false},"excerpt":{"rendered":"<p>CFA\u00ae\ufe0e Level 2 Quantitative Methods LM3\u300cModel Misspecification\uff08\u30e2\u30c7\u30eb\u306e\u8aa4\u7279\u5b9a\uff09\u300d\u306eLOS\uff08\u5b66\u7fd2\u76ee\u6a19\uff09\u3068\u91cd\u8981\u8ad6\u70b9\u3092\u3001\u6700\u65b0\u7248\u30ab\u30ea\u30ad\u30e5\u30e9\u30e0\u306b\u57fa\u3065\u3044\u3066\u65e5\u672c\u8a9e\u3067\u6574\u7406\u3057\u307e\u3057\u305f\u3002<\/p>\n","protected":false},"author":1,"featured_media":11166,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_jin_ogp_image_url":"","_jin_last_featured_id":0,"footnotes":""},"categories":[99],"tags":[],"class_list":["post-10820","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-level2-topics"],"_links":{"self":[{"href":"https:\/\/triumphmind.com\/cfa\/wp-json\/wp\/v2\/posts\/10820","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/triumphmind.com\/cfa\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/triumphmind.com\/cfa\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/triumphmind.com\/cfa\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/triumphmind.com\/cfa\/wp-json\/wp\/v2\/comments?post=10820"}],"version-history":[{"count":1,"href":"https:\/\/triumphmind.com\/cfa\/wp-json\/wp\/v2\/posts\/10820\/revisions"}],"predecessor-version":[{"id":10993,"href":"https:\/\/triumphmind.com\/cfa\/wp-json\/wp\/v2\/posts\/10820\/revisions\/10993"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/triumphmind.com\/cfa\/wp-json\/wp\/v2\/media\/11166"}],"wp:attachment":[{"href":"https:\/\/triumphmind.com\/cfa\/wp-json\/wp\/v2\/media?parent=10820"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/triumphmind.com\/cfa\/wp-json\/wp\/v2\/categories?post=10820"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/triumphmind.com\/cfa\/wp-json\/wp\/v2\/tags?post=10820"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}