{"id":11425,"date":"2026-09-24T09:00:00","date_gmt":"2026-09-24T00:00:00","guid":{"rendered":"https:\/\/triumphmind.com\/cfa\/?p=11425"},"modified":"2026-09-24T18:40:22","modified_gmt":"2026-09-24T09:40:22","slug":"cfa-l2-quants-glossary","status":"publish","type":"post","link":"https:\/\/triumphmind.com\/cfa\/2026\/09\/24\/cfa-l2-quants-glossary\/","title":{"rendered":"\u3010CFA\u00ae\ufe0e L2 Quants \u7528\u8a9e\u96c6\u3011Quantitative Methods \u306e\u91cd\u8981\u7528\u8a9e66\u8a9e\uff5c\u82f1\u8a9e\u30fb\u65e5\u672c\u8a9e\u8a33\u30fb\u610f\u5473\u3092\u5358\u5143\u5225\u306b\u6574\u7406"},"content":{"rendered":"<style> .cfagl-nav{background:#f6f7fb;border-radius:6px;padding:1em 1.2em;margin:1em 0;line-height:1.9;word-break:normal;overflow-wrap:anywhere} .cfagl-nav a{display:block;margin:.15em 0} .cfagl-lm{font-size:.9em;margin:.2em 0 1em} .cfagl-t{border:1px solid #d5d9e3;border-left:4px solid #172152;border-radius:4px;padding:.75em 1em;margin:0 0 .8em;background:#fff} .cfagl-t .en{display:block;font-weight:bold;color:#172152;line-height:1.5;word-break:normal;overflow-wrap:anywhere} .cfagl-t .ja{display:block;font-size:.9em;color:#555;margin:.15em 0 .4em;line-height:1.5} .cfagl-t .df{display:block;line-height:1.75} .cfafm-c{border:1px solid #d5d9e3;border-top:4px solid #172152;border-radius:4px;padding:.9em 1em;margin:0 0 1.2em;background:#fff} .cfafm-c .nm{display:block;font-weight:bold;color:#172152;line-height:1.5} .cfafm-c .ne{display:block;font-size:.85em;color:#667;margin-bottom:.5em;word-break:normal;overflow-wrap:anywhere} .cfafm-x{background:#f6f7fb;border-radius:4px;padding:.6em .8em;margin:.4em 0 .7em;overflow-x:auto;overflow-y:hidden;-webkit-overflow-scrolling:touch} .cfafm-x .katex-display{margin:.3em 0!important} .cfafm-lg{margin:.3em 0 .6em;padding:0;font-size:.92em} .cfafm-lg div{display:flex;gap:.8em;padding:.25em 0;border-bottom:1px dotted #d5d9e3;line-height:1.6} .cfafm-lg .s{flex:0 0 auto;min-width:4.5em;max-width:45%;overflow-x:auto} .cfafm-lg .d{flex:1 1 auto} .cfafm-u{display:block;line-height:1.75;font-size:.95em} .cfafm-u b{color:#172152} .cfahub-g{display:grid;grid-template-columns:repeat(auto-fill,minmax(250px,1fr));gap:.8em;margin:1em 0} .cfahub-g a{display:block;border:1px solid #d5d9e3;border-left:4px solid #172152;border-radius:4px;padding:.8em 1em;background:#fff;text-decoration:none;color:#172152;line-height:1.5} .cfahub-g a .n{display:block;font-weight:bold} .cfahub-g a .j{display:block;font-size:.88em;color:#555} .cfagl-t p:empty,.cfafm-c p:empty,.cfahub-g p:empty,.cfagl-nav p:empty{display:none} .cfagl-lsc{border:2px solid #c9a227;background:#fffbea;border-radius:6px;padding:.9em 1.1em;margin:1em 0 1.4em;line-height:1.75} .cfagl-lsc b{display:block;color:#8a6d1d;margin-bottom:.3em} .cfagl-lsc a{display:inline-block;margin-top:.4em;font-weight:bold} .cfahub-g a .c{display:block;font-size:.82em;color:#8a6d1d;margin-top:.3em} <\/style>\n<div class=\"box05\">CFA\u00ae\ufe0e Level 2\u300cQuantitative Methods\uff08\u6570\u91cf\u5206\u6790\uff09\u300d\u3067\u4f7f\u308f\u308c\u308b\u91cd\u8981\u7528\u8a9e\u3092\u3001\u5b66\u7fd2\u5358\u5143\uff08Learning Module\uff09\u3054\u3068\u306b<strong>\u82f1\u8a9e\u30fb\u65e5\u672c\u8a9e\u8a33\u30fb\u610f\u5473<\/strong>\u306e3\u70b9\u30bb\u30c3\u30c8\u3067\u6574\u7406\u3057\u307e\u3057\u305f\u3002\u51687\u5358\u5143\u30fb66\u8a9e\u3092\u53ce\u9332\u3057\u3066\u3044\u307e\u3059\u3002\u82f1\u8a9e\u306e\u5354\u4f1a\u30c6\u30ad\u30b9\u30c8\u3092\u8aad\u3080\u3068\u304d\u306e\u8f9e\u66f8\u4ee3\u308f\u308a\u306b\u304a\u4f7f\u3044\u304f\u3060\u3055\u3044\u3002<\/div>\n<div class=\"cfagl-lsc\"><b>Leveraged Support Course \u3092\u3054\u5229\u7528\u306e\u65b9\u3078<\/b>FA-Academy \u306e Leveraged Support Course\uff08LSC\uff09\u3092\u3054\u5229\u7528\u306e\u65b9\u306b\u306f\u3001\u3053\u306e\u7528\u8a9e\u96c6\u3068\u516c\u5f0f\u96c6\u3092\u30ec\u30d9\u30eb\u5225\u306b\u6574\u7406\u3057\u305f\u8cc7\u6599\uff08PDF\uff09\u3092\u304a\u6e21\u3057\u3057\u3066\u3044\u307e\u3059\u3002\u30aa\u30d5\u30e9\u30a4\u30f3\u3067\u306e\u78ba\u8a8d\u3084\u8a66\u9a13\u76f4\u524d\u306e\u898b\u76f4\u3057\u306b\u3054\u6d3b\u7528\u304f\u3060\u3055\u3044\u3002<a href=\"https:\/\/triumphmind.com\/cfa\/side_by_side\/\">Level 2 Leveraged Support Course \u306e\u8a73\u7d30\u3092\u898b\u308b<\/a><\/div>\n<h2>\u5358\u5143\uff08LM\uff09\u4e00\u89a7<\/h2>\n<div class=\"cfagl-nav\"><a href=\"#l2-quants-g-lm1\">LM1 \u91cd\u56de\u5e30\u306e\u57fa\u790e\u3068\u524d\u63d0\u6761\u4ef6<\/a><a href=\"#l2-quants-g-lm2\">LM2 \u56de\u5e30\u30e2\u30c7\u30eb\u306e\u5f53\u3066\u306f\u307e\u308a\u3068\u7d50\u679c\u306e\u89e3\u91c8<\/a><a href=\"#l2-quants-g-lm3\">LM3 \u30e2\u30c7\u30eb\u306e\u8aa4\u7279\u5b9a<\/a><a href=\"#l2-quants-g-lm4\">LM4 \u91cd\u56de\u5e30\u306e\u62e1\u5f35<\/a><a href=\"#l2-quants-g-lm5\">LM5 \u6642\u7cfb\u5217\u5206\u6790<\/a><a href=\"#l2-quants-g-lm6\">LM6 \u6a5f\u68b0\u5b66\u7fd2<\/a><a href=\"#l2-quants-g-lm7\">LM7 \u30d3\u30c3\u30b0\u30c7\u30fc\u30bf\u30fb\u30d7\u30ed\u30b8\u30a7\u30af\u30c8<\/a><\/div>\n<h2>Quants \u306e\u91cd\u8981\u7528\u8a9e\uff08LM\u5225\uff09<\/h2>\n<h3 id=\"l2-quants-g-lm1\">LM1 Basics of Multiple Regression and Underlying Assumptions\uff08\u91cd\u56de\u5e30\u306e\u57fa\u790e\u3068\u524d\u63d0\u6761\u4ef6\uff09<\/h3>\n<div class=\"cfagl-lm\">\u3053\u306e\u5358\u5143\u306e\u8981\u70b9\u89e3\u8aac\uff1a<a href=\"https:\/\/triumphmind.com\/cfa\/2026\/09\/22\/cfa-l2-quants-lm1\/\">LM1 \u91cd\u56de\u5e30\u306e\u57fa\u790e\u3068\u524d\u63d0\u6761\u4ef6<\/a><\/div>\n<div class=\"cfagl-t\">\n<div class=\"en\">Multiple Linear Regression<\/div>\n<div class=\"ja\">\u91cd\u56de\u5e30\uff08\u91cd\u56de\u5e30\u5206\u6790\uff09<\/div>\n<div class=\"df\">1\u3064\u306e\u5f93\u5c5e\u5909\u6570\u30682\u3064\u4ee5\u4e0a\u306e\u72ec\u7acb\u5909\u6570\u306e\u7dda\u5f62\u95a2\u4fc2\u3092\u63a8\u5b9a\u3059\u308b\u624b\u6cd5\u3002\u5909\u6570\u9593\u306e\u95a2\u4fc2\u306e\u8aac\u660e\u3001\u7406\u8ad6\u306e\u691c\u8a3c\u3001\u4e88\u6e2c\u306b\u7528\u3044\u308b\u3002<\/div>\n<\/div>\n<div class=\"cfagl-t\">\n<div class=\"en\">Dependent Variable<\/div>\n<div class=\"ja\">\u5f93\u5c5e\u5909\u6570\uff08\u88ab\u8aac\u660e\u5909\u6570\uff09<\/div>\n<div class=\"df\">\u56de\u5e30\u30e2\u30c7\u30eb\u3067\u8aac\u660e\u30fb\u4e88\u6e2c\u306e\u5bfe\u8c61\u3068\u306a\u308b\u5909\u6570\u3002\u72ec\u7acb\u5909\u6570\u306e\u5024\u306b\u3088\u3063\u3066\u305d\u306e\u5909\u52d5\u304c\u8aac\u660e\u3055\u308c\u308b\u3068\u60f3\u5b9a\u3057\u3001\u5f0f\u306e\u5de6\u8fba\u306b\u7f6e\u304f\u3002<\/div>\n<\/div>\n<div class=\"cfagl-t\">\n<div class=\"en\">Independent Variable<\/div>\n<div class=\"ja\">\u72ec\u7acb\u5909\u6570\uff08\u8aac\u660e\u5909\u6570\uff09<\/div>\n<div class=\"df\">\u5f93\u5c5e\u5909\u6570\u306e\u5909\u52d5\u3092\u8aac\u660e\u3059\u308b\u305f\u3081\u306b\u56de\u5e30\u5f0f\u306e\u53f3\u8fba\u306b\u7f6e\u304f\u5909\u6570\u3002\u91cd\u56de\u5e30\u3067\u306f\u8907\u6570\u306e\u72ec\u7acb\u5909\u6570\u3092\u540c\u6642\u306b\u30e2\u30c7\u30eb\u306b\u542b\u3081\u308b\u3002<\/div>\n<\/div>\n<div class=\"cfagl-t\">\n<div class=\"en\">Intercept<\/div>\n<div class=\"ja\">\u5207\u7247<\/div>\n<div class=\"df\">\u56de\u5e30\u5f0f\u306e\u5b9a\u6570\u9805\u3067\u3001\u3059\u3079\u3066\u306e\u72ec\u7acb\u5909\u6570\u304c\u30bc\u30ed\u306e\u3068\u304d\u306e\u5f93\u5c5e\u5909\u6570\u306e\u671f\u5f85\u5024\u3092\u8868\u3059\u3002\u8a18\u53f7\u3067\u306f b0 \u3068\u66f8\u304f\u3002<\/div>\n<\/div>\n<div class=\"cfagl-t\">\n<div class=\"en\">Partial Regression Coefficient<\/div>\n<div class=\"ja\">\u504f\u56de\u5e30\u4fc2\u6570<\/div>\n<div class=\"df\">\u91cd\u56de\u5e30\u306e\u50be\u304d\u4fc2\u6570\u3002\u4ed6\u306e\u72ec\u7acb\u5909\u6570\u3092\u4e00\u5b9a\u306b\u4fdd\u3063\u305f\u307e\u307e\u3001\u305d\u306e\u5909\u6570\u304c1\u5358\u4f4d\u5909\u5316\u3057\u305f\u3068\u304d\u306e\u5f93\u5c5e\u5909\u6570\u306e\u5909\u5316\u91cf\u3092\u8868\u3059\u3002<\/div>\n<\/div>\n<div class=\"cfagl-t\">\n<div class=\"en\">Homoskedasticity<\/div>\n<div class=\"ja\">\u7b49\u5206\u6563\u6027<\/div>\n<div class=\"df\">\u8aa4\u5dee\u9805\u306e\u5206\u6563\u304c\u3059\u3079\u3066\u306e\u89b3\u6e2c\u5024\u3067\u4e00\u5b9a\u3067\u3042\u308b\u3068\u3044\u3046\u91cd\u56de\u5e30\u306e\u524d\u63d0\u6761\u4ef6\u3002\u6210\u308a\u7acb\u305f\u306a\u3044\u72b6\u614b\u3092\u4e0d\u5747\u4e00\u5206\u6563\u3068\u547c\u3076\u3002<\/div>\n<\/div>\n<div class=\"cfagl-t\">\n<div class=\"en\">Residual Plot<\/div>\n<div class=\"ja\">\u6b8b\u5dee\u30d7\u30ed\u30c3\u30c8<\/div>\n<div class=\"df\">\u56de\u5e30\u306e\u6b8b\u5dee\u3092\u4e88\u6e2c\u5024\u3084\u72ec\u7acb\u5909\u6570\u3001\u6642\u9593\u306b\u5bfe\u3057\u3066\u63cf\u3044\u305f\u56f3\u3002\u6247\u5f62\u306e\u5e83\u304c\u308a\u3084\u898f\u5247\u7684\u306a\u30d1\u30bf\u30fc\u30f3\u304c\u3042\u308c\u3070\u524d\u63d0\u6761\u4ef6\u306e\u9055\u53cd\u304c\u7591\u308f\u308c\u308b\u3002<\/div>\n<\/div>\n<div class=\"cfagl-t\">\n<div class=\"en\">Q-Q Plot<\/div>\n<div class=\"ja\">Q-Q\u30d7\u30ed\u30c3\u30c8<\/div>\n<div class=\"df\">\u6b8b\u5dee\u306e\u5206\u4f4d\u70b9\u3092\u6b63\u898f\u5206\u5e03\u306e\u7406\u8ad6\u5206\u4f4d\u70b9\u3068\u5bfe\u6bd4\u3057\u3066\u63cf\u3044\u305f\u56f3\u3002\u70b9\u304c\u76f4\u7dda\u306b\u6cbf\u3063\u3066\u3044\u308c\u3070\u8aa4\u5dee\u9805\u306e\u6b63\u898f\u6027\u304c\u6210\u308a\u7acb\u3064\u3068\u5224\u65ad\u3067\u304d\u308b\u3002<\/div>\n<\/div>\n<h3 id=\"l2-quants-g-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<\/h3>\n<div class=\"cfagl-lm\">\u3053\u306e\u5358\u5143\u306e\u8981\u70b9\u89e3\u8aac\uff1a<a href=\"https:\/\/triumphmind.com\/cfa\/2026\/09\/22\/cfa-l2-quants-lm2\/\">LM2 \u56de\u5e30\u30e2\u30c7\u30eb\u306e\u5f53\u3066\u306f\u307e\u308a\u3068\u7d50\u679c\u306e\u89e3\u91c8<\/a><\/div>\n<div class=\"cfagl-t\">\n<div class=\"en\">Coefficient of Determination (R\u00b2)<\/div>\n<div class=\"ja\">\u6c7a\u5b9a\u4fc2\u6570\uff08R\u00b2\uff09<\/div>\n<div class=\"df\">\u5f93\u5c5e\u5909\u6570\u306e\u7dcf\u5909\u52d5\u306e\u3046\u3061\u56de\u5e30\u30e2\u30c7\u30eb\u3067\u8aac\u660e\u3055\u308c\u308b\u5272\u5408\u3002\u56de\u5e30\u5e73\u65b9\u548c \u00f7 \u7dcf\u5e73\u65b9\u548c\u3067\u6c42\u3081\u3001\u5909\u6570\u3092\u8ffd\u52a0\u3059\u308b\u3068\u5fc5\u305a\u4e0a\u6607\u3059\u308b\u3002<\/div>\n<\/div>\n<div class=\"cfagl-t\">\n<div class=\"en\">Adjusted R\u00b2<\/div>\n<div class=\"ja\">\u81ea\u7531\u5ea6\u4fee\u6b63\u6e08\u307f\u6c7a\u5b9a\u4fc2\u6570\uff08\u4fee\u6b63R\u00b2\uff09<\/div>\n<div class=\"df\">\u72ec\u7acb\u5909\u6570\u306e\u6570\u3068\u6a19\u672c\u6570\u3067\u81ea\u7531\u5ea6\u3092\u8abf\u6574\u3057\u305f\u6c7a\u5b9a\u4fc2\u6570\u3002\u8aac\u660e\u529b\u306e\u4f4e\u3044\u5909\u6570\u3092\u52a0\u3048\u308b\u3068\u4f4e\u4e0b\u3057\u3001R\u00b2\u4ee5\u4e0b\u306e\u5024\u3067\u8ca0\u306b\u3082\u306a\u308a\u5f97\u308b\u3002<\/div>\n<\/div>\n<div class=\"cfagl-t\">\n<div class=\"en\">Akaike&#8217;s Information Criterion (AIC)<\/div>\n<div class=\"ja\">\u8d64\u6c60\u60c5\u5831\u91cf\u898f\u6e96\uff08AIC\uff09<\/div>\n<div class=\"df\">\u540c\u3058\u5f93\u5c5e\u5909\u6570\u3092\u3082\u3064\u8907\u6570\u30e2\u30c7\u30eb\u3092\u6bd4\u8f03\u3059\u308b\u6307\u6a19\u3067\u3001\u5024\u304c\u5c0f\u3055\u3044\u307b\u3069\u826f\u3044\u3002\u4e88\u6e2c\u3092\u76ee\u7684\u3068\u3059\u308b\u30e2\u30c7\u30eb\u9078\u629e\u306b\u9069\u3059\u308b\u3002<\/div>\n<\/div>\n<div class=\"cfagl-t\">\n<div class=\"en\">Schwarz&#8217;s Bayesian Information Criterion (BIC)<\/div>\n<div class=\"ja\">\u30d9\u30a4\u30ba\u60c5\u5831\u91cf\u898f\u6e96\uff08BIC\uff09<\/div>\n<div class=\"df\">\u30e2\u30c7\u30eb\u6bd4\u8f03\u306e\u6307\u6a19\u3067\u3001\u5024\u304c\u5c0f\u3055\u3044\u307b\u3069\u826f\u3044\u3002\u5909\u6570\u8ffd\u52a0\u3078\u306e\u30da\u30ca\u30eb\u30c6\u30a3\u304cAIC\u3088\u308a\u5927\u304d\u304f\u3001\u5f53\u3066\u306f\u307e\u308a\u3092\u91cd\u8996\u3059\u308b\u9078\u629e\u306b\u5411\u304f\u3002<\/div>\n<\/div>\n<div class=\"cfagl-t\">\n<div class=\"en\">Sum of Squared Errors (SSE)<\/div>\n<div class=\"ja\">\u6b8b\u5dee\u5e73\u65b9\u548c\uff08SSE\uff09<\/div>\n<div class=\"df\">\u5b9f\u7e3e\u5024\u3068\u56de\u5e30\u306b\u3088\u308b\u4e88\u6e2c\u5024\u306e\u5dee\uff08\u6b8b\u5dee\uff09\u30922\u4e57\u3057\u3066\u5408\u8a08\u3057\u305f\u3082\u306e\u3002\u30e2\u30c7\u30eb\u3067\u8aac\u660e\u3067\u304d\u306a\u304b\u3063\u305f\u5909\u52d5\u306e\u5927\u304d\u3055\u3092\u8868\u3059\u3002<\/div>\n<\/div>\n<div class=\"cfagl-t\">\n<div class=\"en\">Restricted and Unrestricted Models<\/div>\n<div class=\"ja\">\u5236\u7d04\u4ed8\u304d\u30e2\u30c7\u30eb\u3068\u5236\u7d04\u306a\u3057\u30e2\u30c7\u30eb<\/div>\n<div class=\"df\">\u4e00\u90e8\u306e\u4fc2\u6570\u3092\u30bc\u30ed\u3068\u7f6e\u3044\u3066\u5909\u6570\u3092\u9664\u3044\u305f\u306e\u304c\u5236\u7d04\u4ed8\u304d\u3001\u3059\u3079\u3066\u306e\u5909\u6570\u3092\u542b\u3080\u306e\u304c\u5236\u7d04\u306a\u3057\u30e2\u30c7\u30eb\u3002\u524d\u8005\u306f\u5f8c\u8005\u306b\u5165\u308c\u5b50\u306b\u306a\u308b\u3002<\/div>\n<\/div>\n<div class=\"cfagl-t\">\n<div class=\"en\">Joint F-Test<\/div>\n<div class=\"ja\">\u7d50\u5408F\u691c\u5b9a<\/div>\n<div class=\"df\">\u8907\u6570\u306e\u4fc2\u6570\u304c\u540c\u6642\u306b\u30bc\u30ed\u304b\u3092\u691c\u5b9a\u3059\u308b\u624b\u6cd5\u3002\u5236\u7d04\u4ed8\u304d\u3068\u5236\u7d04\u306a\u3057\u30e2\u30c7\u30eb\u306eSSE\u306e\u5dee\u3092\u7528\u3044\u3001\u5909\u6570\u7fa4\u3092\u307e\u3068\u3081\u3066\u9664\u3051\u308b\u304b\u3092\u5224\u65ad\u3059\u308b\u3002<\/div>\n<\/div>\n<div class=\"cfagl-t\">\n<div class=\"en\">General Linear F-Test<\/div>\n<div class=\"ja\">\u4e00\u822c\u7dda\u5f62F\u691c\u5b9a<\/div>\n<div class=\"df\">\u3059\u3079\u3066\u306e\u50be\u304d\u4fc2\u6570\u304c\u540c\u6642\u306b\u30bc\u30ed\u3068\u3044\u3046\u5e30\u7121\u4eee\u8aac\u306e\u691c\u5b9a\u3002\u30e2\u30c7\u30eb\u5168\u4f53\u306b\u8aac\u660e\u529b\u304c\u3042\u308b\u304b\u3092\u5224\u65ad\u3057\u3001\u81ea\u7531\u5ea6\u306f k \u3068 n\u2212k\u22121\u3002<\/div>\n<\/div>\n<h3 id=\"l2-quants-g-lm3\">LM3 Model Misspecification\uff08\u30e2\u30c7\u30eb\u306e\u8aa4\u7279\u5b9a\uff09<\/h3>\n<div class=\"cfagl-lm\">\u3053\u306e\u5358\u5143\u306e\u8981\u70b9\u89e3\u8aac\uff1a<a href=\"https:\/\/triumphmind.com\/cfa\/2026\/09\/22\/cfa-l2-quants-lm3\/\">LM3 \u30e2\u30c7\u30eb\u306e\u8aa4\u7279\u5b9a<\/a><\/div>\n<div class=\"cfagl-t\">\n<div class=\"en\">Model Misspecification<\/div>\n<div class=\"ja\">\u30e2\u30c7\u30eb\u306e\u8aa4\u7279\u5b9a<\/div>\n<div class=\"df\">\u5909\u6570\u306e\u9078\u629e\u3084\u95a2\u6570\u5f62\u304c\u4e0d\u9069\u5207\u306a\u72b6\u614b\u3002\u5909\u6570\u306e\u6b20\u843d\u3001\u4e0d\u9069\u5207\u306a\u5909\u6570\u306e\u5f62\u30fb\u30b9\u30b1\u30fc\u30ea\u30f3\u30b0\u3001\u30c7\u30fc\u30bf\u306e\u4e0d\u9069\u5207\u306a\u30d7\u30fc\u30ea\u30f3\u30b0\u306a\u3069\u304b\u3089\u751f\u3058\u308b\u3002<\/div>\n<\/div>\n<div class=\"cfagl-t\">\n<div class=\"en\">Omitted Variable Bias<\/div>\n<div class=\"ja\">\u6b20\u843d\u5909\u6570\u30d0\u30a4\u30a2\u30b9<\/div>\n<div class=\"df\">\u91cd\u8981\u306a\u5909\u6570\u3092\u30e2\u30c7\u30eb\u304b\u3089\u9664\u3044\u305f\u305f\u3081\u306b\u751f\u3058\u308b\u63a8\u5b9a\u5024\u306e\u504f\u308a\u3002\u6b20\u843d\u5909\u6570\u304c\u6b8b\u3063\u305f\u72ec\u7acb\u5909\u6570\u3068\u76f8\u95a2\u3057\u3066\u3044\u308b\u5834\u5408\u3001\u4fc2\u6570\u304c\u4e00\u81f4\u6027\u3092\u5931\u3046\u3002<\/div>\n<\/div>\n<div class=\"cfagl-t\">\n<div class=\"en\">Conditional Heteroskedasticity<\/div>\n<div class=\"ja\">\u6761\u4ef6\u4ed8\u304d\u4e0d\u5747\u4e00\u5206\u6563<\/div>\n<div class=\"df\">\u8aa4\u5dee\u9805\u306e\u5206\u6563\u304c\u72ec\u7acb\u5909\u6570\u306e\u5024\u3068\u76f8\u95a2\u3057\u3066\u5909\u5316\u3059\u308b\u72b6\u614b\u3002\u6a19\u6e96\u8aa4\u5dee\u304c\u904e\u5c0f\u8a55\u4fa1\u3055\u308c\u3001t\u5024\u304c\u904e\u5927\u306b\u306a\u3063\u3066\u63a8\u8ad6\u3092\u8aa4\u3089\u305b\u308b\u3002<\/div>\n<\/div>\n<div class=\"cfagl-t\">\n<div class=\"en\">Unconditional Heteroskedasticity<\/div>\n<div class=\"ja\">\u7121\u6761\u4ef6\u4ed8\u304d\u4e0d\u5747\u4e00\u5206\u6563<\/div>\n<div class=\"df\">\u8aa4\u5dee\u9805\u306e\u5206\u6563\u306f\u4e00\u5b9a\u3067\u306a\u3044\u304c\u3001\u305d\u306e\u5909\u5316\u304c\u72ec\u7acb\u5909\u6570\u3068\u7121\u95a2\u4fc2\u306a\u72b6\u614b\u3002\u7d71\u8a08\u7684\u63a8\u8ad6\u306b\u5927\u304d\u306a\u554f\u984c\u306f\u751f\u3058\u306a\u3044\u3002<\/div>\n<\/div>\n<div class=\"cfagl-t\">\n<div class=\"en\">Breusch\u2013Pagan (BP) Test<\/div>\n<div class=\"ja\">\u30d6\u30ed\u30a4\u30b7\u30e5\u30fb\u30da\u30a4\u30ac\u30f3\u691c\u5b9a\uff08BP\u691c\u5b9a\uff09<\/div>\n<div class=\"df\">\u6b8b\u5dee\u306e2\u4e57\u3092\u72ec\u7acb\u5909\u6570\u306b\u56de\u5e30\u3057\u3001n \u00d7 R\u00b2 \u3092\u30ab\u30a4\u4e8c\u4e57\u5206\u5e03\u3067\u8a55\u4fa1\u3057\u3066\u6761\u4ef6\u4ed8\u304d\u4e0d\u5747\u4e00\u5206\u6563\u306e\u6709\u7121\u3092\u8abf\u3079\u308b\u691c\u5b9a\u3002<\/div>\n<\/div>\n<div class=\"cfagl-t\">\n<div class=\"en\">Robust Standard Errors<\/div>\n<div class=\"ja\">\u30ed\u30d0\u30b9\u30c8\u6a19\u6e96\u8aa4\u5dee<\/div>\n<div class=\"df\">\u4e0d\u5747\u4e00\u5206\u6563\u3084\u7cfb\u5217\u76f8\u95a2\u3092\u8003\u616e\u3057\u3066\u4fee\u6b63\u3057\u305f\u4fc2\u6570\u306e\u6a19\u6e96\u8aa4\u5dee\u3002White \u306e\u6a19\u6e96\u8aa4\u5dee\u3084 Newey\u2013West \u306e\u6a19\u6e96\u8aa4\u5dee\u304c\u3053\u308c\u306b\u3042\u305f\u308b\u3002<\/div>\n<\/div>\n<div class=\"cfagl-t\">\n<div class=\"en\">Serial Correlation<\/div>\n<div class=\"ja\">\u7cfb\u5217\u76f8\u95a2\uff08\u81ea\u5df1\u76f8\u95a2\uff09<\/div>\n<div class=\"df\">\u8aa4\u5dee\u9805\u304c\u89b3\u6e2c\u5024\u9593\u3067\u76f8\u95a2\u3057\u3066\u3044\u308b\u72b6\u614b\u3067\u3001\u6642\u7cfb\u5217\u30c7\u30fc\u30bf\u3067\u8d77\u304d\u3084\u3059\u3044\u3002\u6a19\u6e96\u8aa4\u5dee\u3092\u3086\u304c\u3081\u3001\u30e9\u30b0\u4ed8\u304d\u5f93\u5c5e\u5909\u6570\u304c\u3042\u308c\u3070\u4fc2\u6570\u3082\u4e00\u81f4\u6027\u3092\u5931\u3046\u3002<\/div>\n<\/div>\n<div class=\"cfagl-t\">\n<div class=\"en\">Breusch\u2013Godfrey (BG) Test<\/div>\n<div class=\"ja\">\u30d6\u30ed\u30a4\u30b7\u30e5\u30fb\u30b4\u30c9\u30d5\u30ea\u30fc\u691c\u5b9a\uff08BG\u691c\u5b9a\uff09<\/div>\n<div class=\"df\">\u6b8b\u5dee\u3092\u5143\u306e\u72ec\u7acb\u5909\u6570\u3068\u6b8b\u5dee\u306e\u30e9\u30b0\u306b\u56de\u5e30\u3057\u3001\u30e9\u30b0\u4ed8\u304d\u6b8b\u5dee\u306e\u4fc2\u6570\u304c\u3059\u3079\u3066\u30bc\u30ed\u304b\u3092\u8abf\u3079\u308b\u7cfb\u5217\u76f8\u95a2\u306e\u691c\u5b9a\u3002<\/div>\n<\/div>\n<div class=\"cfagl-t\">\n<div class=\"en\">Multicollinearity<\/div>\n<div class=\"ja\">\u591a\u91cd\u5171\u7dda\u6027<\/div>\n<div class=\"df\">\u72ec\u7acb\u5909\u6570\u3069\u3046\u3057\u306e\u76f8\u95a2\u304c\u9ad8\u3044\u72b6\u614b\u3002\u4fc2\u6570\u306f\u4e0d\u504f\u306e\u307e\u307e\u3060\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\u308b\u3002<\/div>\n<\/div>\n<div class=\"cfagl-t\">\n<div class=\"en\">Variance Inflation Factor (VIF)<\/div>\n<div class=\"ja\">\u5206\u6563\u62e1\u5927\u8981\u56e0\uff08VIF\uff09<\/div>\n<div class=\"df\">\u591a\u91cd\u5171\u7dda\u6027\u306e\u7a0b\u5ea6\u3092\u6e2c\u308b\u6307\u6a19\u3067\u30011 \u00f7\uff081 \u2212 \u305d\u306e\u5909\u6570\u3092\u4ed6\u306e\u72ec\u7acb\u5909\u6570\u306b\u56de\u5e30\u3057\u305fR\u00b2\uff09\u3067\u6c42\u3081\u308b\u3002\u5024\u304c\u5927\u304d\u3044\u307b\u3069\u5171\u7dda\u6027\u304c\u5f37\u3044\u3002<\/div>\n<\/div>\n<h3 id=\"l2-quants-g-lm4\">LM4 Extensions of Multiple Regression\uff08\u91cd\u56de\u5e30\u306e\u62e1\u5f35\uff09<\/h3>\n<div class=\"cfagl-lm\">\u3053\u306e\u5358\u5143\u306e\u8981\u70b9\u89e3\u8aac\uff1a<a href=\"https:\/\/triumphmind.com\/cfa\/2026\/09\/22\/cfa-l2-quants-lm4\/\">LM4 \u91cd\u56de\u5e30\u306e\u62e1\u5f35<\/a><\/div>\n<div class=\"cfagl-t\">\n<div class=\"en\">High-Leverage Point<\/div>\n<div class=\"ja\">\u9ad8\u30ec\u30d0\u30ec\u30c3\u30b8\u70b9<\/div>\n<div class=\"df\">\u72ec\u7acb\u5909\u6570\u306e\u5024\u304c\u4ed6\u306e\u89b3\u6e2c\u5024\u304b\u3089\u5927\u304d\u304f\u96e2\u308c\u305f\u89b3\u6e2c\u5024\u3002\u30ec\u30d0\u30ec\u30c3\u30b8\u304c 3(k+1)\/n \u3092\u8d85\u3048\u308b\u3068\u56de\u5e30\u7d50\u679c\u3078\u306e\u5f71\u97ff\u304c\u5927\u304d\u3044\u53ef\u80fd\u6027\u304c\u3042\u308b\u3002<\/div>\n<\/div>\n<div class=\"cfagl-t\">\n<div class=\"en\">Outlier<\/div>\n<div class=\"ja\">\u5916\u308c\u5024<\/div>\n<div class=\"df\">\u5f93\u5c5e\u5909\u6570\u306e\u5024\u304c\u56de\u5e30\u306e\u4e88\u6e2c\u304b\u3089\u5927\u304d\u304f\u5916\u308c\u305f\u89b3\u6e2c\u5024\u3002\u30b9\u30c1\u30e5\u30fc\u30c7\u30f3\u30c8\u5316\u6b8b\u5dee\u3067\u6e2c\u308a\u3001t\u5206\u5e03\u306e\u81e8\u754c\u5024\u3092\u8d85\u3048\u308b\u304b\u3067\u5224\u65ad\u3059\u308b\u3002<\/div>\n<\/div>\n<div class=\"cfagl-t\">\n<div class=\"en\">Studentized Residual<\/div>\n<div class=\"ja\">\u30b9\u30c1\u30e5\u30fc\u30c7\u30f3\u30c8\u5316\u6b8b\u5dee<\/div>\n<div class=\"df\">\u3042\u308b\u89b3\u6e2c\u5024\u3092\u9664\u3044\u3066\u63a8\u5b9a\u3057\u305f\u30e2\u30c7\u30eb\u306b\u3088\u308b\u305d\u306e\u89b3\u6e2c\u5024\u306e\u6b8b\u5dee\u3092\u3001\u6a19\u6e96\u8aa4\u5dee\u3067\u5272\u3063\u3066\u57fa\u6e96\u5316\u3057\u305f\u3082\u306e\u3002\u5916\u308c\u5024\u306e\u5224\u5b9a\u306b\u7528\u3044\u308b\u3002<\/div>\n<\/div>\n<div class=\"cfagl-t\">\n<div class=\"en\">Cook&#8217;s Distance (Cook&#8217;s D)<\/div>\n<div class=\"ja\">\u30af\u30c3\u30af\u306e\u8ddd\u96e2<\/div>\n<div class=\"df\">\u30ec\u30d0\u30ec\u30c3\u30b8\u3068\u6b8b\u5dee\u306e\u4e21\u65b9\u3092\u53cd\u6620\u3057\u3001\u3042\u308b\u89b3\u6e2c\u5024\u304c\u56de\u5e30\u5168\u4f53\u306e\u63a8\u5b9a\u7d50\u679c\u306b\u3069\u308c\u3060\u3051\u5f71\u97ff\u3059\u308b\u304b\u3092\u6e2c\u308b\u6307\u6a19\u3002<\/div>\n<\/div>\n<div class=\"cfagl-t\">\n<div class=\"en\">Dummy Variable<\/div>\n<div class=\"ja\">\u30c0\u30df\u30fc\u5909\u6570<\/div>\n<div class=\"df\">\u6761\u4ef6\u306b\u5f53\u3066\u306f\u307e\u308c\u30701\u3001\u305d\u3046\u3067\u306a\u3051\u308c\u30700\u3092\u3068\u308b\u5909\u6570\u3002\u696d\u7a2e\u3084\u6642\u671f\u306a\u3069\u306e\u5b9a\u6027\u7684\u8981\u56e0\u3092\u56de\u5e30\u306b\u7d44\u307f\u8fbc\u3080\u3002n\u500b\u306e\u30ab\u30c6\u30b4\u30ea\u30fc\u306b\u306fn\u22121\u500b\u3092\u4f7f\u3046\u3002<\/div>\n<\/div>\n<div class=\"cfagl-t\">\n<div class=\"en\">Intercept Dummy<\/div>\n<div class=\"ja\">\u5207\u7247\u30c0\u30df\u30fc<\/div>\n<div class=\"df\">\u5207\u7247\u306b\u4f5c\u7528\u3059\u308b\u30c0\u30df\u30fc\u5909\u6570\u3002\u6761\u4ef6\u306b\u5f53\u3066\u306f\u307e\u308b\u89b3\u6e2c\u5024\u306e\u56de\u5e30\u76f4\u7dda\u3092\u5e73\u884c\u79fb\u52d5\u3055\u305b\u3001\u305d\u306e\u4fc2\u6570\u306f\u57fa\u6e96\u30ab\u30c6\u30b4\u30ea\u30fc\u3068\u306e\u5207\u7247\u306e\u5dee\u3092\u8868\u3059\u3002<\/div>\n<\/div>\n<div class=\"cfagl-t\">\n<div class=\"en\">Slope Dummy<\/div>\n<div class=\"ja\">\u50be\u304d\u30c0\u30df\u30fc<\/div>\n<div class=\"df\">\u30c0\u30df\u30fc\u5909\u6570\u3068\u9023\u7d9a\u5909\u6570\u306e\u7a4d\u3068\u3057\u3066\u52a0\u3048\u308b\u4ea4\u5dee\u9805\u3002\u6761\u4ef6\u306b\u5f53\u3066\u306f\u307e\u308b\u89b3\u6e2c\u5024\u306b\u3064\u3044\u3066\u3001\u305d\u306e\u9023\u7d9a\u5909\u6570\u306e\u50be\u304d\u3092\u5909\u5316\u3055\u305b\u308b\u3002<\/div>\n<\/div>\n<div class=\"cfagl-t\">\n<div class=\"en\">Logistic Regression (Logit Model)<\/div>\n<div class=\"ja\">\u30ed\u30b8\u30b9\u30c6\u30a3\u30c3\u30af\u56de\u5e30\uff08\u30ed\u30b8\u30c3\u30c8\u30fb\u30e2\u30c7\u30eb\uff09<\/div>\n<div class=\"df\">\u4e8c\u5024\u306e\u5f93\u5c5e\u5909\u6570\u306b\u3064\u3044\u3066\u3001\u4e8b\u8c61\u306e\u78ba\u7387\u306e\u30ed\u30b0\u30fb\u30aa\u30c3\u30ba\u3092\u72ec\u7acb\u5909\u6570\u306e\u7dda\u5f62\u95a2\u6570\u3067\u8868\u3059\u30e2\u30c7\u30eb\u3002\u4e88\u6e2c\u78ba\u7387\u306f0\u301c1\u306b\u53ce\u307e\u308b\u3002<\/div>\n<\/div>\n<div class=\"cfagl-t\">\n<div class=\"en\">Log Odds<\/div>\n<div class=\"ja\">\u30ed\u30b0\u30fb\u30aa\u30c3\u30ba<\/div>\n<div class=\"df\">\u4e8b\u8c61\u306e\u78ba\u7387P\u306b\u3064\u3044\u3066 ln[P \u00f7 (1 \u2212 P)] \u3067\u8868\u3057\u305f\u5024\u3002\u78ba\u7387\u3092\u5b9f\u6570\u5168\u4f53\u306b\u5909\u63db\u3057\u3001\u72ec\u7acb\u5909\u6570\u3068\u306e\u95a2\u4fc2\u3092\u7dda\u5f62\u5316\u3059\u308b\u305f\u3081\u306b\u4f7f\u3046\u3002<\/div>\n<\/div>\n<div class=\"cfagl-t\">\n<div class=\"en\">Maximum Likelihood Estimation (MLE)<\/div>\n<div class=\"ja\">\u6700\u5c24\u63a8\u5b9a\u6cd5<\/div>\n<div class=\"df\">\u89b3\u6e2c\u3055\u308c\u305f\u30c7\u30fc\u30bf\u304c\u5f97\u3089\u308c\u308b\u78ba\u7387\uff08\u5c24\u5ea6\uff09\u3092\u6700\u5927\u306b\u3059\u308b\u3088\u3046\u306b\u30d1\u30e9\u30e1\u30fc\u30bf\u3092\u63a8\u5b9a\u3059\u308b\u624b\u6cd5\u3002\u30ed\u30b8\u30b9\u30c6\u30a3\u30c3\u30af\u56de\u5e30\u306e\u4fc2\u6570\u63a8\u5b9a\u306b\u7528\u3044\u308b\u3002<\/div>\n<\/div>\n<h3 id=\"l2-quants-g-lm5\">LM5 Time-Series Analysis\uff08\u6642\u7cfb\u5217\u5206\u6790\uff09<\/h3>\n<div class=\"cfagl-lm\">\u3053\u306e\u5358\u5143\u306e\u8981\u70b9\u89e3\u8aac\uff1a<a href=\"https:\/\/triumphmind.com\/cfa\/2026\/09\/22\/cfa-l2-quants-lm5\/\">LM5 \u6642\u7cfb\u5217\u5206\u6790<\/a><\/div>\n<div class=\"cfagl-t\">\n<div class=\"en\">Log-Linear Trend Model<\/div>\n<div class=\"ja\">\u5bfe\u6570\u7dda\u5f62\u30c8\u30ec\u30f3\u30c9\u30fb\u30e2\u30c7\u30eb<\/div>\n<div class=\"df\">\u6642\u7cfb\u5217\u306e\u81ea\u7136\u5bfe\u6570\u3092\u6642\u9593 t \u306b\u56de\u5e30\u3059\u308b\u30e2\u30c7\u30eb\u3002\u4e00\u5b9a\u306e\u7387\u3067\u6210\u9577\u3059\u308b\u7cfb\u5217\u306b\u9069\u3057\u3001\u4e88\u6e2c\u5024\u306f\u63a8\u5b9a\u5f0f\u306e\u6307\u6570\u3092\u3068\u3063\u3066\u5143\u306e\u6c34\u6e96\u306b\u623b\u3059\u3002<\/div>\n<\/div>\n<div class=\"cfagl-t\">\n<div class=\"en\">Covariance Stationary<\/div>\n<div class=\"ja\">\u5171\u5206\u6563\u5b9a\u5e38<\/div>\n<div class=\"df\">\u671f\u5f85\u5024\u3001\u5206\u6563\u3001\u4e00\u5b9a\u30e9\u30b0\u306e\u81ea\u5df1\u5171\u5206\u6563\u304c\u3044\u305a\u308c\u3082\u6642\u9593\u3092\u901a\u3058\u3066\u4e00\u5b9a\u304b\u3064\u6709\u9650\u3067\u3042\u308b\u6642\u7cfb\u5217\u306e\u6027\u8cea\u3002AR\u30e2\u30c7\u30eb\u3092\u56de\u5e30\u3067\u63a8\u5b9a\u3059\u308b\u524d\u63d0\u3068\u306a\u308b\u3002<\/div>\n<\/div>\n<div class=\"cfagl-t\">\n<div class=\"en\">Autoregressive (AR) Model<\/div>\n<div class=\"ja\">\u81ea\u5df1\u56de\u5e30\u30e2\u30c7\u30eb\uff08AR\u30e2\u30c7\u30eb\uff09<\/div>\n<div class=\"df\">\u6642\u7cfb\u5217\u306e\u73fe\u5728\u306e\u5024\u3092\u3001\u305d\u306e\u7cfb\u5217\u81ea\u8eab\u306e\u904e\u53bb\u306e\u5024\u3067\u8aac\u660e\u3059\u308b\u30e2\u30c7\u30eb\u3002p\u671f\u524d\u307e\u3067\u306e\u30e9\u30b0\u3092\u4f7f\u3046\u3082\u306e\u3092AR(p)\u3068\u8868\u3059\u3002<\/div>\n<\/div>\n<div class=\"cfagl-t\">\n<div class=\"en\">Mean Reversion<\/div>\n<div class=\"ja\">\u5e73\u5747\u56de\u5e30<\/div>\n<div class=\"df\">\u6642\u7cfb\u5217\u304c\u9577\u671f\u5e73\u5747\u3088\u308a\u9ad8\u3051\u308c\u3070\u4e0b\u843d\u3057\u3001\u4f4e\u3051\u308c\u3070\u4e0a\u6607\u3059\u308b\u50be\u5411\u3002AR(1)\u3067\u306f\u5e73\u5747\u56de\u5e30\u6c34\u6e96\u304c b0 \u00f7 (1 \u2212 b1) \u3067\u8868\u3055\u308c\u308b\u3002<\/div>\n<\/div>\n<div class=\"cfagl-t\">\n<div class=\"en\">Root Mean Squared Error (RMSE)<\/div>\n<div class=\"ja\">\u5e73\u5747\u4e8c\u4e57\u8aa4\u5dee\u306e\u5e73\u65b9\u6839\uff08RMSE\uff09<\/div>\n<div class=\"df\">\u4e88\u6e2c\u8aa4\u5dee\u30922\u4e57\u3057\u3066\u5e73\u5747\u3057\u5e73\u65b9\u6839\u3092\u3068\u3063\u305f\u5024\u3002\u30b5\u30f3\u30d7\u30eb\u5916\u4e88\u6e2c\u306e\u7cbe\u5ea6\u3092\u30e2\u30c7\u30eb\u9593\u3067\u6bd4\u3079\u308b\u57fa\u6e96\u3067\u3001\u5c0f\u3055\u3044\u307b\u3069\u7cbe\u5ea6\u304c\u9ad8\u3044\u3002<\/div>\n<\/div>\n<div class=\"cfagl-t\">\n<div class=\"en\">Random Walk<\/div>\n<div class=\"ja\">\u30e9\u30f3\u30c0\u30e0\u30fb\u30a6\u30a9\u30fc\u30af<\/div>\n<div class=\"df\">\u4eca\u671f\u306e\u5024\u304c\u524d\u671f\u306e\u5024\u306b\u4e88\u6e2c\u4e0d\u80fd\u306a\u8aa4\u5dee\u3092\u52a0\u3048\u305f\u3082\u306e\u3068\u306a\u308b\u6642\u7cfb\u5217\u3002AR(1)\u3067 b1 = 1 \u306e\u5834\u5408\u306b\u3042\u305f\u308a\u3001\u5171\u5206\u6563\u5b9a\u5e38\u3067\u306f\u306a\u3044\u3002<\/div>\n<\/div>\n<div class=\"cfagl-t\">\n<div class=\"en\">Unit Root<\/div>\n<div class=\"ja\">\u5358\u4f4d\u6839<\/div>\n<div class=\"df\">AR(1)\u306e\u4fc2\u6570 b1 \u304c1\u3068\u306a\u308b\u6027\u8cea\u3002\u5358\u4f4d\u6839\u3092\u3082\u3064\u7cfb\u5217\u306f\u975e\u5b9a\u5e38\u3067\u3001\u901a\u5e38\u306e\u56de\u5e30\u63a8\u5b9a\u3084 t \u691c\u5b9a\u304c\u4fe1\u983c\u3067\u304d\u306a\u3044\u30021\u968e\u306e\u968e\u5dee\u3067\u5b9a\u5e38\u5316\u3067\u304d\u308b\u5834\u5408\u304c\u3042\u308b\u3002<\/div>\n<\/div>\n<div class=\"cfagl-t\">\n<div class=\"en\">Dickey\u2013Fuller Test<\/div>\n<div class=\"ja\">\u30c7\u30a3\u30c3\u30ad\u30fc\u30fb\u30d5\u30e9\u30fc\u691c\u5b9a<\/div>\n<div class=\"df\">AR(1)\u3092\u5909\u5f62\u3057\u305f\u5f0f\u3067 g1 = b1 \u2212 1 \u304c\u30bc\u30ed\u304b\u3092\u8abf\u3079\u308b\u5358\u4f4d\u6839\u306e\u691c\u5b9a\u3002\u5e30\u7121\u4eee\u8aac\u306f\u5358\u4f4d\u6839\u3042\u308a\u3067\u3001\u4fee\u6b63\u3055\u308c\u305f\u81e8\u754c\u5024\u3092\u7528\u3044\u308b\u3002<\/div>\n<\/div>\n<div class=\"cfagl-t\">\n<div class=\"en\">Autoregressive Conditional Heteroskedasticity (ARCH)<\/div>\n<div class=\"ja\">\u81ea\u5df1\u56de\u5e30\u6761\u4ef6\u4ed8\u304d\u4e0d\u5747\u4e00\u5206\u6563\uff08ARCH\uff09<\/div>\n<div class=\"df\">\u8aa4\u5dee\u9805\u306e\u5206\u6563\u304c\u904e\u53bb\u306e\u8aa4\u5dee\u306e\u5927\u304d\u3055\u306b\u4f9d\u5b58\u3059\u308b\u72b6\u614b\u3002\u6b8b\u5dee2\u4e57\u30921\u671f\u524d\u306e\u6b8b\u5dee2\u4e57\u306b\u56de\u5e30\u3057\u3066\u691c\u51fa\u3057\u3001\u5206\u6563\u306e\u4e88\u6e2c\u306b\u3082\u4f7f\u3048\u308b\u3002<\/div>\n<\/div>\n<div class=\"cfagl-t\">\n<div class=\"en\">Cointegration<\/div>\n<div class=\"ja\">\u5171\u548c\u5206<\/div>\n<div class=\"df\">\u5358\u4f4d\u6839\u3092\u3082\u30642\u3064\u306e\u6642\u7cfb\u5217\u306e\u9593\u306b\u9577\u671f\u7684\u306b\u5b89\u5b9a\u3057\u305f\u95a2\u4fc2\u304c\u3042\u308b\u72b6\u614b\u3002\u4e21\u7cfb\u5217\u306b\u5358\u4f4d\u6839\u304c\u3042\u308b\u5834\u5408\u3001\u5171\u548c\u5206\u3057\u3066\u3044\u308c\u3070\u56de\u5e30\u304c\u6709\u52b9\u3068\u306a\u308b\u3002<\/div>\n<\/div>\n<h3 id=\"l2-quants-g-lm6\">LM6 Machine Learning\uff08\u6a5f\u68b0\u5b66\u7fd2\uff09<\/h3>\n<div class=\"cfagl-lm\">\u3053\u306e\u5358\u5143\u306e\u8981\u70b9\u89e3\u8aac\uff1a<a href=\"https:\/\/triumphmind.com\/cfa\/2026\/09\/22\/cfa-l2-quants-lm6\/\">LM6 \u6a5f\u68b0\u5b66\u7fd2<\/a><\/div>\n<div class=\"cfagl-t\">\n<div class=\"en\">Supervised Learning<\/div>\n<div class=\"ja\">\u6559\u5e2b\u3042\u308a\u5b66\u7fd2<\/div>\n<div class=\"df\">\u7279\u5fb4\u91cf\u3068\u76ee\u6a19\u5909\u6570\u306e\u7d44\u304b\u3089\u306a\u308b\u30e9\u30d9\u30eb\u4ed8\u304d\u30c7\u30fc\u30bf\u3067\u95a2\u4fc2\u3092\u5b66\u7fd2\u3059\u308b\u6a5f\u68b0\u5b66\u7fd2\u3002\u76ee\u6a19\u5909\u6570\u304c\u9023\u7d9a\u306a\u3089\u56de\u5e30\u3001\u30ab\u30c6\u30b4\u30ea\u30fc\u306a\u3089\u5206\u985e\u306e\u554f\u984c\u3068\u306a\u308b\u3002<\/div>\n<\/div>\n<div class=\"cfagl-t\">\n<div class=\"en\">Unsupervised Learning<\/div>\n<div class=\"ja\">\u6559\u5e2b\u306a\u3057\u5b66\u7fd2<\/div>\n<div class=\"df\">\u30e9\u30d9\u30eb\u306e\u306a\u3044\u30c7\u30fc\u30bf\u304b\u3089\u69cb\u9020\u3084\u30d1\u30bf\u30fc\u30f3\u3092\u898b\u3044\u3060\u3059\u6a5f\u68b0\u5b66\u7fd2\u3002\u6b21\u5143\u524a\u6e1b\u3084\u30af\u30e9\u30b9\u30bf\u30ea\u30f3\u30b0\u306b\u7528\u3044\u308b\u3002<\/div>\n<\/div>\n<div class=\"cfagl-t\">\n<div class=\"en\">Overfitting<\/div>\n<div class=\"ja\">\u904e\u5b66\u7fd2\uff08\u30aa\u30fc\u30d0\u30fc\u30d5\u30a3\u30c3\u30c6\u30a3\u30f3\u30b0\uff09<\/div>\n<div class=\"df\">\u30e2\u30c7\u30eb\u304c\u8a13\u7df4\u30c7\u30fc\u30bf\u306e\u30ce\u30a4\u30ba\u307e\u3067\u5b66\u7fd2\u3057\u3001\u65b0\u3057\u3044\u30c7\u30fc\u30bf\u3078\u306e\u6c4e\u5316\u529b\u3092\u5931\u3046\u72b6\u614b\u3002\u5206\u6563\u8aa4\u5dee\u304c\u5927\u304d\u304f\u306a\u308a\u3001\u30b5\u30f3\u30d7\u30eb\u5916\u306e\u4e88\u6e2c\u7cbe\u5ea6\u304c\u4f4e\u4e0b\u3059\u308b\u3002<\/div>\n<\/div>\n<div class=\"cfagl-t\">\n<div class=\"en\">k-Fold Cross-Validation<\/div>\n<div class=\"ja\">k\u5206\u5272\u4ea4\u5dee\u691c\u8a3c<\/div>\n<div class=\"df\">\u30c7\u30fc\u30bf\u3092k\u500b\u306b\u5206\u3051\u30011\u3064\u3092\u691c\u8a3c\u7528\u3001\u6b8b\u308a\u3092\u8a13\u7df4\u7528\u3068\u3059\u308b\u63a8\u5b9a\u3092k\u56de\u7e70\u308a\u8fd4\u3057\u3066\u8aa4\u5dee\u3092\u8a55\u4fa1\u3059\u308b\u624b\u6cd5\u3002\u8a13\u7df4\u30c7\u30fc\u30bf\u306e\u6e1b\u5c11\u3092\u7de9\u548c\u3059\u308b\u3002<\/div>\n<\/div>\n<div class=\"cfagl-t\">\n<div class=\"en\">Least Absolute Shrinkage and Selection Operator (LASSO)<\/div>\n<div class=\"ja\">LASSO\u56de\u5e30<\/div>\n<div class=\"df\">\u4fc2\u6570\u306e\u7d76\u5bfe\u5024\u306e\u5408\u8a08\u306b\u30da\u30ca\u30eb\u30c6\u30a3\u3092\u8ab2\u3059\u30da\u30ca\u30eb\u30c6\u30a3\u4ed8\u304d\u56de\u5e30\u3002\u91cd\u8981\u3067\u306a\u3044\u7279\u5fb4\u91cf\u306e\u4fc2\u6570\u3092\u30bc\u30ed\u306b\u3057\u3001\u7279\u5fb4\u91cf\u306e\u9078\u629e\u3068\u904e\u5b66\u7fd2\u306e\u6291\u5236\u3092\u884c\u3046\u3002<\/div>\n<\/div>\n<div class=\"cfagl-t\">\n<div class=\"en\">Support Vector Machine (SVM)<\/div>\n<div class=\"ja\">\u30b5\u30dd\u30fc\u30c8\u30fb\u30d9\u30af\u30bf\u30fc\u30fb\u30de\u30b7\u30f3\uff08SVM\uff09<\/div>\n<div class=\"df\">2\u3064\u306e\u30b0\u30eb\u30fc\u30d7\u3092\u30de\u30fc\u30b8\u30f3\u304c\u6700\u5927\u3068\u306a\u308b\u5883\u754c\uff08\u8d85\u5e73\u9762\uff09\u3067\u5206\u3051\u308b\u5206\u985e\u624b\u6cd5\u3002\u30bd\u30d5\u30c8\u30fb\u30de\u30fc\u30b8\u30f3\u306b\u3088\u308a\u4e00\u90e8\u306e\u8aa4\u5206\u985e\u3092\u8a31\u5bb9\u3067\u304d\u308b\u3002<\/div>\n<\/div>\n<div class=\"cfagl-t\">\n<div class=\"en\">Classification and Regression Tree (CART)<\/div>\n<div class=\"ja\">\u5206\u985e\u30fb\u56de\u5e30\u6728\uff08CART\uff09<\/div>\n<div class=\"df\">\u7279\u5fb4\u91cf\u3068\u30ab\u30c3\u30c8\u30aa\u30d5\u5024\u306b\u3088\u308b2\u5206\u5c90\u3092\u7e70\u308a\u8fd4\u3057\u3066\u89b3\u6e2c\u5024\u3092\u5206\u3051\u308b\u6c7a\u5b9a\u6728\u3002\u76ee\u6a19\u5909\u6570\u304c\u30ab\u30c6\u30b4\u30ea\u30fc\u306a\u3089\u5206\u985e\u6728\u3001\u9023\u7d9a\u306a\u3089\u56de\u5e30\u6728\u3068\u306a\u308b\u3002<\/div>\n<\/div>\n<div class=\"cfagl-t\">\n<div class=\"en\">Random Forest<\/div>\n<div class=\"ja\">\u30e9\u30f3\u30c0\u30e0\u30fb\u30d5\u30a9\u30ec\u30b9\u30c8<\/div>\n<div class=\"df\">\u30d0\u30ae\u30f3\u30b0\u3068\u7279\u5fb4\u91cf\u306e\u30e9\u30f3\u30c0\u30e0\u306a\u62bd\u51fa\u3067\u591a\u6570\u306e\u6c7a\u5b9a\u6728\u3092\u4f5c\u308a\u3001\u305d\u306e\u4e88\u6e2c\u3092\u7d44\u307f\u5408\u308f\u305b\u308b\u30a2\u30f3\u30b5\u30f3\u30d6\u30eb\u5b66\u7fd2\u3002\u904e\u5b66\u7fd2\u3092\u6291\u3048\u7cbe\u5ea6\u3092\u9ad8\u3081\u308b\u3002<\/div>\n<\/div>\n<div class=\"cfagl-t\">\n<div class=\"en\">Principal Components Analysis (PCA)<\/div>\n<div class=\"ja\">\u4e3b\u6210\u5206\u5206\u6790\uff08PCA\uff09<\/div>\n<div class=\"df\">\u76f8\u95a2\u306e\u9ad8\u3044\u591a\u6570\u306e\u7279\u5fb4\u91cf\u3092\u3001\u4e92\u3044\u306b\u7121\u76f8\u95a2\u306a\u5c11\u6570\u306e\u5408\u6210\u5909\u6570\uff08\u4e3b\u6210\u5206\uff09\u306b\u8981\u7d04\u3059\u308b\u6b21\u5143\u524a\u6e1b\u306e\u624b\u6cd5\u3002\u4e3b\u6210\u5206\u306e\u610f\u5473\u306f\u89e3\u91c8\u3057\u306b\u304f\u3044\u3002<\/div>\n<\/div>\n<div class=\"cfagl-t\">\n<div class=\"en\">k-Means Clustering<\/div>\n<div class=\"ja\">k\u5e73\u5747\u6cd5\u30af\u30e9\u30b9\u30bf\u30ea\u30f3\u30b0<\/div>\n<div class=\"df\">\u89b3\u6e2c\u5024\u3092\u4e8b\u524d\u306b\u6c7a\u3081\u305fk\u500b\u306e\u91cd\u8907\u3057\u306a\u3044\u30af\u30e9\u30b9\u30bf\u30fc\u306b\u5206\u3051\u3001\u5404\u89b3\u6e2c\u5024\u3092\u6700\u3082\u8fd1\u3044\u91cd\u5fc3\u306e\u30af\u30e9\u30b9\u30bf\u30fc\u306b\u5272\u308a\u5f53\u3066\u308b\u624b\u6cd5\u3002<\/div>\n<\/div>\n<h3 id=\"l2-quants-g-lm7\">LM7 Big Data Projects\uff08\u30d3\u30c3\u30b0\u30c7\u30fc\u30bf\u30fb\u30d7\u30ed\u30b8\u30a7\u30af\u30c8\uff09<\/h3>\n<div class=\"cfagl-lm\">\u3053\u306e\u5358\u5143\u306e\u8981\u70b9\u89e3\u8aac\uff1a<a href=\"https:\/\/triumphmind.com\/cfa\/2026\/09\/22\/cfa-l2-quants-lm7\/\">LM7 \u30d3\u30c3\u30b0\u30c7\u30fc\u30bf\u30fb\u30d7\u30ed\u30b8\u30a7\u30af\u30c8<\/a><\/div>\n<div class=\"cfagl-t\">\n<div class=\"en\">Big Data<\/div>\n<div class=\"ja\">\u30d3\u30c3\u30b0\u30c7\u30fc\u30bf<\/div>\n<div class=\"df\">\u91cf\uff08volume\uff09\u30fb\u901f\u5ea6\uff08velocity\uff09\u30fb\u591a\u69d8\u6027\uff08variety\uff09\u304c\u5927\u304d\u304f\u3001\u6b63\u78ba\u6027\uff08veracity\uff09\u306b\u8ab2\u984c\u304c\u3042\u308a\u5f97\u308b\u30c7\u30fc\u30bf\u3002\u6295\u8cc7\u904b\u7528\u3067\u3082\u6d3b\u7528\u304c\u9032\u3080\u3002<\/div>\n<\/div>\n<div class=\"cfagl-t\">\n<div class=\"en\">Data Wrangling<\/div>\n<div class=\"ja\">\u30c7\u30fc\u30bf\u6574\u5f62\uff08\u30e9\u30f3\u30b0\u30ea\u30f3\u30b0\uff09<\/div>\n<div class=\"df\">\u53ce\u96c6\u3057\u305f\u30c7\u30fc\u30bf\u3092\u5206\u6790\u53ef\u80fd\u306a\u5f62\u306b\u6574\u3048\u308b\u5de5\u7a0b\u3002\u8aa4\u308a\u3092\u9664\u304f\u30c7\u30fc\u30bf\u30fb\u30af\u30ec\u30f3\u30b8\u30f3\u30b0\u3068\u3001\u62bd\u51fa\u30fb\u96c6\u7d04\u30fb\u5909\u63db\u306a\u3069\u306e\u524d\u51e6\u7406\u304b\u3089\u6210\u308b\u3002<\/div>\n<\/div>\n<div class=\"cfagl-t\">\n<div class=\"en\">Feature Engineering<\/div>\n<div class=\"ja\">\u7279\u5fb4\u91cf\u30a8\u30f3\u30b8\u30cb\u30a2\u30ea\u30f3\u30b0<\/div>\n<div class=\"df\">\u65e2\u5b58\u306e\u7279\u5fb4\u91cf\u3092\u52a0\u5de5\u30fb\u7d44\u307f\u5408\u308f\u305b\u3066\u65b0\u3057\u3044\u7279\u5fb4\u91cf\u3092\u4f5c\u308b\u5de5\u7a0b\u3002\u30ef\u30f3\u30db\u30c3\u30c8\u30fb\u30a8\u30f3\u30b3\u30fc\u30c7\u30a3\u30f3\u30b0\u3084\u30c6\u30ad\u30b9\u30c8\u306en-gram\u4f5c\u6210\u306a\u3069\u304c\u3042\u308b\u3002<\/div>\n<\/div>\n<div class=\"cfagl-t\">\n<div class=\"en\">Confusion Matrix<\/div>\n<div class=\"ja\">\u6df7\u540c\u884c\u5217<\/div>\n<div class=\"df\">\u5206\u985e\u30e2\u30c7\u30eb\u306e\u4e88\u6e2c\u3068\u5b9f\u969b\u306e\u30af\u30e9\u30b9\u3092\u3001\u771f\u967d\u6027\u30fb\u507d\u967d\u6027\u30fb\u771f\u9670\u6027\u30fb\u507d\u9670\u6027\u306e4\u533a\u5206\u3067\u96c6\u8a08\u3057\u305f\u8868\u3002\u9069\u5408\u7387\u306a\u3069\u306e\u8a55\u4fa1\u6307\u6a19\u306e\u57fa\u790e\u3068\u306a\u308b\u3002<\/div>\n<\/div>\n<div class=\"cfagl-t\">\n<div class=\"en\">Precision<\/div>\n<div class=\"ja\">\u9069\u5408\u7387<\/div>\n<div class=\"df\">\u967d\u6027\u3068\u4e88\u6e2c\u3057\u305f\u3082\u306e\u306e\u3046\u3061\u5b9f\u969b\u306b\u967d\u6027\u3060\u3063\u305f\u5272\u5408\u3067\u3001TP \u00f7 (TP + FP) \u3067\u6c42\u3081\u308b\u3002\u507d\u967d\u6027\u3092\u6291\u3048\u305f\u3044\u5834\u9762\u3067\u91cd\u8996\u3059\u308b\u3002<\/div>\n<\/div>\n<div class=\"cfagl-t\">\n<div class=\"en\">Recall<\/div>\n<div class=\"ja\">\u518d\u73fe\u7387\uff08\u611f\u5ea6\uff09<\/div>\n<div class=\"df\">\u5b9f\u969b\u306b\u967d\u6027\u306e\u3082\u306e\u306e\u3046\u3061\u967d\u6027\u3068\u6b63\u3057\u304f\u4e88\u6e2c\u3067\u304d\u305f\u5272\u5408\u3067\u3001TP \u00f7 (TP + FN) \u3067\u6c42\u3081\u308b\u3002\u507d\u9670\u6027\u3092\u6291\u3048\u305f\u3044\u5834\u9762\u3067\u91cd\u8996\u3059\u308b\u3002<\/div>\n<\/div>\n<div class=\"cfagl-t\">\n<div class=\"en\">F1 Score<\/div>\n<div class=\"ja\">F1\u30b9\u30b3\u30a2<\/div>\n<div class=\"df\">\u9069\u5408\u7387\u3068\u518d\u73fe\u7387\u306e\u8abf\u548c\u5e73\u5747\u3002\u4e21\u8005\u306e\u30d0\u30e9\u30f3\u30b9\u30921\u3064\u306e\u6570\u5024\u3067\u8868\u3057\u3001\u30af\u30e9\u30b9\u304c\u4e0d\u5747\u8861\u306a\u30c7\u30fc\u30bf\u306e\u8a55\u4fa1\u306b\u9069\u3059\u308b\u3002<\/div>\n<\/div>\n<div class=\"cfagl-t\">\n<div class=\"en\">Receiver Operating Characteristic (ROC) Curve<\/div>\n<div class=\"ja\">ROC\u66f2\u7dda<\/div>\n<div class=\"df\">\u6a2a\u8ef8\u306b\u507d\u967d\u6027\u7387\u3001\u7e26\u8ef8\u306b\u771f\u967d\u6027\u7387\u3092\u3068\u308a\u5206\u985e\u306e\u95be\u5024\u3092\u5909\u3048\u3066\u63cf\u3044\u305f\u66f2\u7dda\u3002\u66f2\u7dda\u4e0b\u306e\u9762\u7a4d\uff08AUC\uff09\u304c\u5927\u304d\u3044\u307b\u3069\u6027\u80fd\u304c\u9ad8\u3044\u3002<\/div>\n<\/div>\n<div class=\"cfagl-t\">\n<div class=\"en\">Document Term Matrix (DTM)<\/div>\n<div class=\"ja\">\u6587\u66f8\u30fb\u5358\u8a9e\u884c\u5217\uff08DTM\uff09<\/div>\n<div class=\"df\">\u884c\u306b\u6587\u66f8\uff08\u6587\uff09\u3001\u5217\u306b\u30c8\u30fc\u30af\u30f3\u3092\u3068\u308a\u3001\u5404\u8a9e\u306e\u51fa\u73fe\u6570\u3084TF\u2013IDF\u3092\u5024\u3068\u3057\u305f\u884c\u5217\u3002\u30c6\u30ad\u30b9\u30c8\u3092\u69cb\u9020\u5316\u30c7\u30fc\u30bf\u306b\u5909\u63db\u3057\u305f\u3082\u306e\u3002<\/div>\n<\/div>\n<div class=\"cfagl-t\">\n<div class=\"en\">Term Frequency\u2013Inverse Document Frequency (TF\u2013IDF)<\/div>\n<div class=\"ja\">TF\u2013IDF<\/div>\n<div class=\"df\">\u8a9e\u306e\u51fa\u73fe\u983b\u5ea6\uff08TF\uff09\u306b\u9006\u6587\u66f8\u983b\u5ea6\uff08IDF\uff09\u3092\u639b\u3051\u305f\u5024\u3002\u591a\u304f\u306e\u6587\u66f8\u306b\u5171\u901a\u3059\u308b\u8a9e\u306e\u91cd\u307f\u3092\u4e0b\u3052\u3001\u7279\u5b9a\u306e\u6587\u66f8\u3092\u7279\u5fb4\u3065\u3051\u308b\u8a9e\u3092\u91cd\u8996\u3059\u308b\u3002<\/div>\n<\/div>\n<h2>\u3042\u308f\u305b\u3066\u4f7f\u3044\u305f\u3044\u30da\u30fc\u30b8<\/h2>\n<ul>\n<li><a href=\"https:\/\/triumphmind.com\/cfa\/2026\/09\/24\/cfa-l2-quants-formulas\/\">CFA\u00ae\ufe0e Level 2 Quants \u516c\u5f0f\u96c6\uff08\u8a18\u53f7\u306e\u610f\u5473\u3068\u4f7f\u3044\u3069\u3053\u308d\uff09<\/a><\/li>\n<li><a href=\"https:\/\/triumphmind.com\/cfa\/cfa-level2-glossary\/\">CFA\u00ae\ufe0e Level 2 \u7528\u8a9e\u96c6\uff08\u5168\u79d1\u76ee\u306e\u4e00\u89a7\uff09<\/a><\/li>\n<li><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><\/li>\n<\/ul>\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\u3001\u7528\u8a9e\u3084\u516c\u5f0f\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\/present1\/\" target=\"_blank\" rel=\"noopener\">Level 1 \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<li><a href=\"https:\/\/triumphmind.com\/cfa\/side_by_side\/\" target=\"_blank\" rel=\"noopener\">Level 2 Leveraged Support Course\uff08\u7528\u8a9e\u96c6\u30fb\u516c\u5f0f\u96c6\u306e\u6574\u7406\u8cc7\u6599\u3064\u304d\uff09\u3092\u898b\u308b<\/a><\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>CFA\u00ae\ufe0e Level 2 Quantitative Methods\uff08\u6570\u91cf\u5206\u6790\uff09\u306e\u91cd\u8981\u7528\u8a9e66\u8a9e\u3092\u3001\u6700\u65b0\u7248\u30ab\u30ea\u30ad\u30e5\u30e9\u30e0\u306e\u5358\u5143\uff08LM\uff09\u5225\u306b\u3001\u82f1\u8a9e\u30fb\u65e5\u672c\u8a9e\u8a33\u30fb\u610f\u5473\u306e3\u70b9\u30bb\u30c3\u30c8\u3067\u6574\u7406\u3057\u305f\u7528\u8a9e\u96c6\u3067\u3059\u3002<\/p>\n","protected":false},"author":1,"featured_media":11590,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_jin_ogp_image_url":"","_jin_last_featured_id":0,"footnotes":""},"categories":[101],"tags":[],"class_list":["post-11425","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-glossary"],"_links":{"self":[{"href":"https:\/\/triumphmind.com\/cfa\/wp-json\/wp\/v2\/posts\/11425","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=11425"}],"version-history":[{"count":2,"href":"https:\/\/triumphmind.com\/cfa\/wp-json\/wp\/v2\/posts\/11425\/revisions"}],"predecessor-version":[{"id":11546,"href":"https:\/\/triumphmind.com\/cfa\/wp-json\/wp\/v2\/posts\/11425\/revisions\/11546"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/triumphmind.com\/cfa\/wp-json\/wp\/v2\/media\/11590"}],"wp:attachment":[{"href":"https:\/\/triumphmind.com\/cfa\/wp-json\/wp\/v2\/media?parent=11425"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/triumphmind.com\/cfa\/wp-json\/wp\/v2\/categories?post=11425"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/triumphmind.com\/cfa\/wp-json\/wp\/v2\/tags?post=11425"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}