{"id":10616,"date":"2026-09-22T04:59:52","date_gmt":"2026-09-21T19:59:52","guid":{"rendered":"https:\/\/triumphmind.com\/cfa\/2026\/09\/22\/cfa-l1-quants-lm10\/"},"modified":"2026-09-22T07:45:09","modified_gmt":"2026-09-21T22:45:09","slug":"cfa-l1-quants-lm10","status":"publish","type":"post","link":"https:\/\/triumphmind.com\/cfa\/2026\/09\/22\/cfa-l1-quants-lm10\/","title":{"rendered":"\u3010CFA\u00ae\ufe0e L1 Quants LM10\u3011Applications of Simple Linear Regression in Finance \u3092\u8981\u70b9\u89e3\u8aac\uff5c\u6700\u5c0f\u4e8c\u4e57\u6cd5\u30fbANOVA\u30fb\u4e88\u6e2c\u533a\u9593\u30fbCAPM\u306e\u30d9\u30fc\u30bf\u63a8\u5b9a"},"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 10\u300cApplications of Simple Linear Regression in Finance\uff08\u30d5\u30a1\u30a4\u30ca\u30f3\u30b9\u306b\u304a\u3051\u308b\u5358\u56de\u5e30\u5206\u6790\u306e\u5fdc\u7528\uff09\u300d\u306f\u30011\u3064\u306e\u8aac\u660e\u5909\u6570\u3067\u88ab\u8aac\u660e\u5909\u6570\u3092\u8aac\u660e\u3059\u308b\u5358\u56de\u5e30\u5206\u6790\u306b\u3064\u3044\u3066\u3001\u6700\u5c0f\u4e8c\u4e57\u6cd5\u306b\u3088\u308b\u63a8\u5b9a\u3001\u524d\u63d0\u6761\u4ef6\u3068\u6b8b\u5dee\u5206\u6790\u3001\u5f53\u3066\u306f\u307e\u308a\u306e\u8a55\u4fa1\u3001\u4e88\u6e2c\u3001\u305d\u3057\u3066CAPM\u306e\u30d9\u30fc\u30bf\u63a8\u5b9a\u3078\u306e\u5fdc\u7528\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>LM10\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\u3002LM10\u306b\u306f4\u3064\u306eLOS\u304c\u3042\u308a\u307e\u3059\u3002<\/p>\n<ol class=\"cfalm-los\">\n<li><span class=\"ja\">LOS 1\uff1a\u6700\u5c0f\u4e8c\u4e57\u6cd5\u306b\u3088\u308b\u4fc2\u6570\u306e\u63a8\u5b9a\u3092\u542b\u3081\u3001\u5358\u56de\u5e30\u3092\u8a18\u8ff0\u30fb\u89e3\u91c8\u30fb\u8aac\u660e\u3059\u308b<\/span><span class=\"en\">describe, interpret, and explain simple linear regression, including coefficient estimation using the least squares criterion<\/span><\/li>\n<li><span class=\"ja\">LOS 2\uff1a\u5358\u56de\u5e30\u306e\u524d\u63d0\u6761\u4ef6\u3092\u8a18\u8ff0\u30fb\u6bd4\u8f03\u3057\u3001\u6b8b\u5dee\u5206\u6790\u3067\u9055\u53cd\u3092\u898b\u3064\u3051\u3001\u63a8\u5b9a\u30e2\u30c7\u30eb\u306e\u5f53\u3066\u306f\u307e\u308a\u30fb\u56de\u5e30\u4fc2\u6570\u30fbANOVA\u306e\u7d50\u679c\u3092\u8a55\u4fa1\u3059\u308b<\/span><span class=\"en\">describe and compare the assumptions of simple linear regression, identify violations through analyzing residuals, evaluate the estimated model\u2019s goodness-of-fit and regression coefficients, and results of ANOVA estimates<\/span><\/li>\n<li><span class=\"ja\">LOS 3\uff1a\u5358\u56de\u5e30\u30e2\u30c7\u30eb\u306b\u304a\u3051\u308b\u88ab\u8aac\u660e\u5909\u6570\u306e\u4e88\u6e2c\u5024\u30fb\u63a8\u5b9a\u5024\u306e\u6a19\u6e96\u8aa4\u5dee\u30fb\u4e88\u6e2c\u533a\u9593\u3092\u8a08\u7b97\u30fb\u89e3\u91c8\u3057\u3001\u3055\u307e\u3056\u307e\u306a\u95a2\u6570\u5f62\u3092\u8aac\u660e\u3059\u308b<\/span><span class=\"en\">calculate and interpret predicted values, the standard error of the estimate, and prediction intervals for the dependent variable in a simple linear regression model and describe different functional forms<\/span><\/li>\n<li><span class=\"ja\">LOS 4\uff1aCAPM\u306e\u5909\u6570\u306e\u63a8\u5b9a\u5024\u3092\u8a08\u7b97\u30fb\u89e3\u91c8\u3059\u308b<\/span><span class=\"en\">calculate and interpret the variable estimates of the capital asset pricing model (CAPM)<\/span><\/li>\n<\/ol>\n<h2>LM10\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>\u5358\u56de\u5e30\u306f\u3001\u6700\u5c0f\u4e8c\u4e57\u6cd5\uff08OLS\uff09\u3067\u30d1\u30e9\u30e1\u30fc\u30bf\u3092\u63a8\u5b9a\u3059\u308b\u3002\u8aac\u660e\u5909\u6570\u3068\u88ab\u8aac\u660e\u5909\u6570\u306e\u9593\u306b\u7dda\u5f62\u306e\u95a2\u4fc2\u3092\u4eee\u5b9a\u3059\u308b<\/li>\n<li>\u30d1\u30e9\u30e1\u30fc\u30bf\u306f\u3001\u5b9f\u6e2c\u5024\u3068\u4e88\u6e2c\u5024\u306e\u5dee\u306e2\u4e57\u306e\u5408\u8a08\u3092\u6700\u5c0f\u306b\u3059\u308b\u3088\u3046\u306b\u63a8\u5b9a\u3059\u308b<\/li>\n<li>OLS\u306e\u524d\u63d0\u306f\u3001\u7dda\u5f62\u6027\u30fb\u7b49\u5206\u6563\u6027\u30fb\u72ec\u7acb\u6027\u30fb\u6b8b\u5dee\u306e\u6b63\u898f\u6027<\/li>\n<li>\u5206\u6563\u5206\u6790\uff08ANOVA\uff09\u3067\u306f\u3001\u5168\u5909\u52d5\uff08SST\uff09\u3001\u8aac\u660e\u3055\u308c\u305f\u5909\u52d5\uff08SSR\uff09\u3001\u8aac\u660e\u3055\u308c\u306a\u3044\u5909\u52d5\uff08SSE\uff09\u3067\u30e2\u30c7\u30eb\u306e\u5f53\u3066\u306f\u307e\u308a\u3092\u8a55\u4fa1\u3059\u308b\u3002\u826f\u3044\u30e2\u30c7\u30eb\u306fSSR\u304c\u5927\u304d\u304fSSE\u304c\u5c0f\u3055\u3044<\/li>\n<li>\u50be\u304d\u3068\u5207\u7247\u306e\u7d71\u8a08\u7684\u6709\u610f\u6027\u306f\u3001\u5358\u56de\u5e30\u3067\u306ft\u7d71\u8a08\u91cf\u3067\u691c\u5b9a\u3059\u308b<\/li>\n<li>\u975e\u7dda\u5f62\u306e\u95a2\u4fc2\u306f\u3001\u88ab\u8aac\u660e\u5909\u6570\u30fb\u8aac\u660e\u5909\u6570\u30fb\u307e\u305f\u306f\u305d\u306e\u4e21\u65b9\u306e\u5bfe\u6570\u3092\u53d6\u308b\u5909\u63db\u3067\u6271\u3048\u308b<\/li>\n<li>CAPM\u306f\u3001\u8cc7\u7523\u306e\u671f\u5f85\u30ea\u30bf\u30fc\u30f3\u3068\u30ea\u30b9\u30af\u3092\u5e02\u5834\u306e\u671f\u5f85\u30ea\u30bf\u30fc\u30f3\u3068\u30ea\u30b9\u30af\u306b\u7d50\u3073\u3064\u3051\u308b1\u30d5\u30a1\u30af\u30bf\u30fc\u306e\u30e2\u30c7\u30eb\u3067\u3001\u56de\u5e30\u3067\u30d9\u30fc\u30bf\u3092\u63a8\u5b9a\u3067\u304d\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\u5358\u56de\u5e30\u3068\u6700\u5c0f\u4e8c\u4e57\u6cd5\u306b\u3088\u308b\u4fc2\u6570\u306e\u63a8\u5b9a<\/h3>\n<p>Y = b\u2080 + b\u2081X + \u03b5 \u306e\u76f4\u7dda\u3092\u3001<strong>\u6b8b\u5dee\u306e2\u4e57\u548c\u304c\u6700\u5c0f<\/strong>\u306b\u306a\u308b\u3088\u3046\u306b\u5f15\u304f\u306e\u304c\u6700\u5c0f\u4e8c\u4e57\u6cd5\uff08OLS\uff09\u3067\u3059\u3002\u50be\u304d b\u2081 \u306f\u300cX\u304c1\u5358\u4f4d\u5897\u3048\u305f\u3068\u304d\u306eY\u306e\u5909\u5316\u300d\u3001\u5207\u7247 b\u2080 \u306f\u300cX = 0 \u306e\u3068\u304d\u306eY\u300d\u3002\u30c7\u30fc\u30bf\u306b\u306f\u6642\u7cfb\u5217\u30fb\u30af\u30ed\u30b9\u30bb\u30af\u30b7\u30e7\u30f3\u30fb<strong>\u30d1\u30cd\u30eb\uff08\u540c\u3058\u5bfe\u8c61\u3092\u8907\u6570\u6642\u70b9\u3067\u89b3\u6e2c\uff09<\/strong>\u306e3\u7a2e\u985e\u304c\u3042\u308a\u307e\u3059\u3002<\/p>\n<ul>\n<li>b\u2081 = Cov(X,Y) \u00f7 Var(X)<\/li>\n<li>b\u2080 = \u0232 \u2212 b\u2081X\u0304\uff08\u56de\u5e30\u76f4\u7dda\u306f\u5e73\u5747\u306e\u70b9\u3092\u901a\u308b\uff09<\/li>\n<li>\u6b8b\u5dee = \u5b9f\u6e2c\u5024 \u2212 \u4e88\u6e2c\u5024<\/li>\n<li>\u30c0\u30df\u30fc\u5909\u6570\uff080\/1\uff09\u306e\u50be\u304d\uff1d\u30b0\u30eb\u30fc\u30d7\u9593\u306e\u5e73\u5747\u306e\u5dee<\/li>\n<\/ul>\n<div class=\"cfalm-f\">b\u0302\u2081 = Cov(X,Y) \/ Var(X)\u3001b\u0302\u2080 = \u0232 \u2212 b\u0302\u2081X\u0304<\/div>\n<h3>LOS 2\uff1a\u524d\u63d0\u6761\u4ef6\u3068\u6b8b\u5dee\u5206\u6790\u3001\u5f53\u3066\u306f\u307e\u308a\u3068\u4fc2\u6570\u30fbANOVA\u306e\u8a55\u4fa1<\/h3>\n<p>4\u3064\u306e\u524d\u63d0\u306f<strong>\u2460\u7dda\u5f62\u6027 \u2461\u7b49\u5206\u6563\u6027 \u2462\u72ec\u7acb\u6027 \u2463\u6b63\u898f\u6027<\/strong>\u3002\u6b8b\u5dee\u30d7\u30ed\u30c3\u30c8\u3067\u9055\u53cd\u3092\u898b\u3064\u3051\u307e\u3059\u3002\u5f53\u3066\u306f\u307e\u308a\u306f<strong>R\u00b2 = SSR \u00f7 SST<\/strong>\uff08\u5358\u56de\u5e30\u3067\u306f\u76f8\u95a2\u306e2\u4e57\uff09\u3001\u50be\u304d\u304c0\u304b\u3069\u3046\u304b\u306f<strong>t \u691c\u5b9a\uff08\u81ea\u7531\u5ea6 n \u2212 2\uff09<\/strong>\u3001\u30e2\u30c7\u30eb\u5168\u4f53\u306f<strong>F \u691c\u5b9a<\/strong>\uff08\u5358\u56de\u5e30\u3067\u306f F = t\u00b2\uff09\u3067\u8abf\u3079\u307e\u3059\u3002<\/p>\n<ul>\n<li>\u7b49\u5206\u6563\u6027\uff1a\u3059\u3079\u3066\u306e\u89b3\u6e2c\u3067\u6b8b\u5dee\u306e\u5206\u6563\u304c\u540c\u3058<\/li>\n<li>\u7dda\u5f62\u6027\u304c\u5d29\u308c\u308b\u3068\u3001\u6b8b\u5dee\u306b\u898f\u5247\u7684\u306a\u30d1\u30bf\u30fc\u30f3\u304c\u51fa\u308b<\/li>\n<li>SST = SSR + SSE\u3001MSR = SSR \u00f7 1\u3001MSE = SSE \u00f7 (n \u2212 2)<\/li>\n<li>F = MSR \u00f7 MSE<\/li>\n<\/ul>\n<div class=\"cfalm-f\">t = (b\u0302\u2081 \u2212 B\u2081) \/ s_b\u0302\u2081<\/div>\n<h3>LOS 3\uff1a\u4e88\u6e2c\u5024\u30fb\u63a8\u5b9a\u5024\u306e\u6a19\u6e96\u8aa4\u5dee\u30fb\u4e88\u6e2c\u533a\u9593\u3068\u95a2\u6570\u5f62<\/h3>\n<p><strong>SEE\uff08\u63a8\u5b9a\u5024\u306e\u6a19\u6e96\u8aa4\u5dee\uff09\uff1d\u221aMSE<\/strong>\u306f\u6b8b\u5dee\u306e\u3070\u3089\u3064\u304d\u3067\u3001\u5c0f\u3055\u3044\u307b\u3069\u5f53\u3066\u306f\u307e\u308a\u304c\u826f\u3044\u3053\u3068\u3092\u793a\u3057\u307e\u3059\u3002\u4e88\u6e2c\u533a\u9593\u306f\u300c\u4e88\u6e2c\u5024 \u00b1 t \u81e8\u754c\u5024 \u00d7 \u4e88\u6e2c\u306e\u6a19\u6e96\u8aa4\u5dee\u300d\u3067\u3001<strong>X\u304c\u5e73\u5747\u304b\u3089\u96e2\u308c\u308b\u307b\u3069\u3001\u307e\u305f\u6a19\u672c\u304c\u5c0f\u3055\u3044\u307b\u3069\u5e83\u304c\u308a\u307e\u3059<\/strong>\u3002\u95a2\u4fc2\u304c\u76f4\u7dda\u3067\u306a\u3044\u3068\u304d\u306f\u3001log-lin\u30fblin-log\u30fblog-log \u306b\u5909\u63db\u3057\u307e\u3059\u3002<\/p>\n<ul>\n<li>SEE = \u221a[SSE \u00f7 (n \u2212 2)]<\/li>\n<li>\u4e88\u6e2c\u306e\u6a19\u6e96\u8aa4\u5dee\u306f SEE \u3088\u308a\u5927\u304d\u3044<\/li>\n<li>log-lin\uff1aX\u304c1\u5358\u4f4d\u5909\u308f\u308b\u3068Y\u304c\u4e00\u5b9a\u306e\u300c\u7387\u300d\u3067\u5909\u308f\u308b<\/li>\n<li>log-log\uff1a\u50be\u304d\uff1d\u5f3e\u529b\u6027\uff08X\u304c1%\u5909\u308f\u308b\u3068Y\u304c\u4f55%\u5909\u308f\u308b\u304b\uff09<\/li>\n<\/ul>\n<div class=\"cfalm-f\">SEE = \u221a[SSE \/ (n \u2212 2)]<\/div>\n<h3>LOS 4\uff1aCAPM\u306e\u5909\u6570\u3092\u56de\u5e30\u3067\u63a8\u5b9a\u30fb\u89e3\u91c8\u3059\u308b<\/h3>\n<p>\u500b\u5225\u682a\u306e\u8d85\u904e\u30ea\u30bf\u30fc\u30f3\u3092\u5e02\u5834\u306e\u8d85\u904e\u30ea\u30bf\u30fc\u30f3\uff08\u5e02\u5834\u30ea\u30b9\u30af\u30fb\u30d7\u30ec\u30df\u30a2\u30e0\uff09\u306b\u56de\u5e30\u3059\u308b\u3068\u3001<strong>\u50be\u304d\u304c\u30d9\u30fc\u30bf<\/strong>\u306b\u306a\u308a\u307e\u3059\u3002\u30d9\u30fc\u30bf\u306f\u5e02\u5834\u5168\u4f53\u3068\u306e\u9023\u52d5\uff08\u30b7\u30b9\u30c6\u30de\u30c6\u30a3\u30c3\u30af\u30fb\u30ea\u30b9\u30af\uff09\u3092\u8868\u3057\u3001<strong>\u30de\u30a4\u30ca\u30b9\u306e\u30d9\u30fc\u30bf\u306e\u8cc7\u7523\u306f\u5e02\u5834\u3068\u9006\u306b\u52d5\u304f<\/strong>\u305f\u3081\u3001\u30d8\u30c3\u30b8\u52b9\u679c\u304c\u671f\u5f85\u3055\u308c\u307e\u3059\u3002<\/p>\n<ul>\n<li>R\u1d62 \u2212 R_f = \u03b1 \uff0b \u03b2(R_m \u2212 R_f) \uff0b \u03b5<\/li>\n<li>\u03b2 = Cov(R\u1d62, R_m) \u00f7 Var(R_m)<\/li>\n<li>\u30d9\u30fc\u30bf\u306e\u6709\u610f\u6027\u306f\u50be\u304d\u306e t \u691c\u5b9a\u3067\u5224\u5b9a<\/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\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\/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<\/ul>\n<div class=\"cfalm-nav\">\u524d\u306e\u5358\u5143\uff1a<a href=\"https:\/\/triumphmind.com\/cfa\/2026\/09\/22\/cfa-l1-quants-lm9\/\">LM9 Simulation of Financial Asset Prices and Returns\uff08\u91d1\u878d\u8cc7\u7523\u306e\u4fa1\u683c\u30fb\u30ea\u30bf\u30fc\u30f3\u306e\u30b7\u30df\u30e5\u30ec\u30fc\u30b7\u30e7\u30f3\uff09<\/a><br \/>\n\u6b21\u306e\u5358\u5143\uff1a<a href=\"https:\/\/triumphmind.com\/cfa\/2026\/09\/22\/cfa-l1-quants-lm11\/\">LM11 Introduction to Financial Data Science\uff08\u91d1\u878d\u30c7\u30fc\u30bf\u30b5\u30a4\u30a8\u30f3\u30b9\u5165\u9580\uff09<\/a><br \/>\n\u5168\u4f53\u306e\u76ee\u6b21\uff1a<a href=\"https:\/\/triumphmind.com\/cfa\/cfa-curriculum\/#l1-quants\">CFA\u00ae\ufe0e \u5b66\u7fd2\u5185\u5bb9\u306e\u76ee\u6b21\uff08Level 1 Quantitative Methods\uff09<\/a><\/div>\n","protected":false},"excerpt":{"rendered":"<p>CFA\u00ae\ufe0e Level 1 Quantitative Methods LM10\u300cApplications of Simple Linear Regression in Finance\uff08\u30d5\u30a1\u30a4\u30ca\u30f3\u30b9\u306b\u304a\u3051\u308b\u5358\u56de\u5e30\u5206\u6790\u306e\u5fdc\u7528\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":10671,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_jin_ogp_image_url":"","_jin_last_featured_id":0,"footnotes":""},"categories":[98],"tags":[],"class_list":["post-10616","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-level1-topics"],"_links":{"self":[{"href":"https:\/\/triumphmind.com\/cfa\/wp-json\/wp\/v2\/posts\/10616","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=10616"}],"version-history":[{"count":9,"href":"https:\/\/triumphmind.com\/cfa\/wp-json\/wp\/v2\/posts\/10616\/revisions"}],"predecessor-version":[{"id":11336,"href":"https:\/\/triumphmind.com\/cfa\/wp-json\/wp\/v2\/posts\/10616\/revisions\/11336"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/triumphmind.com\/cfa\/wp-json\/wp\/v2\/media\/10671"}],"wp:attachment":[{"href":"https:\/\/triumphmind.com\/cfa\/wp-json\/wp\/v2\/media?parent=10616"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/triumphmind.com\/cfa\/wp-json\/wp\/v2\/categories?post=10616"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/triumphmind.com\/cfa\/wp-json\/wp\/v2\/tags?post=10616"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}