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2023-04-02

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IVV: S&P 500 Dashboard For April

SummaryEnergy and real estate are the best sectors regarding value and quality scores.Industrials an

IVV: S&P 500 Dashboard For April

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It is also a top-down analysis of all ETFs tracking this index. Among them, the <a href=\"https://laohu8.com/S/EEMA\">iShares</a> Core S&amp;P 500 ETF (NYSEARCA:IVV) is the second most popular behind the SPDR S&amp;P 500 ETF (SPY) regarding assets under management and average daily volume. It is also cheaper in management fee, with an expense ratio of only 0.03%.</p><h2>Shortcut</h2><p>The next two paragraphs in italic describe the dashboard methodology. They are necessary for new readers to understand the metrics. If you are used to this series or if you are short of time, you can skip them and go to the charts.</p><h2>Base Metrics</h2><p><em>I calculate the median value of five fundamental ratios in every sector: Earnings Yield (&#34;EY&#34;), Sales Yield (&#34;SY&#34;), Free Cash Flow Yield (&#34;FY&#34;), Return on Equity (&#34;ROE&#34;), Gross Margin (&#34;GM&#34;). All are calculated on trailing 12 months. For all these ratios, higher is better and negative is bad. EY, SY and FY are medians of the inverse of Price/Earnings, Price/Sales and Price/Free Cash Flow. They are better for statistical studies than price-to-something ratios, which are unusable when the &#34;something&#34; is close to zero or negative (for example, companies with negative earnings). I also calculate two momentum metrics for each group: the median monthly return (RetM) and the median annual return (RetY).</em></p><p><em>I prefer medians rather than averages because a median splits a set in a good half and a bad half. Capital-weighted averages are skewed by extreme values and the largest companies. As a consequence, these metrics are designed for stock-picking rather than index investing.</em></p><h2>Value and Quality Scores</h2><p><em>Historical baselines are calculated as the averages on a look-back period of 11 years for all metrics. They are noted respectively EYh, SYh, FYh, ROEh, GMh. For example, the value of EYh for technology in the table below is the 11-year average of the median Earnings Yield of S&amp;P 500 tech companies.</em></p><p><em>The Value Score &#34;VS&#34; is the average difference in % between the three valuation ratios (EY, SY, FY) and their baselines (EYh, SYh, FYh). The same way, the Quality Score &#34;QS&#34; is the average difference between the two quality ratios (ROE, GM) and their baselines (ROEh, GMh).</em></p><p><em>VS may be interpreted as the percentage of undervaluation or overvaluation relative to the baseline (positive is good, negative is bad). This interpretation must be taken with caution: the baseline is an arbitrary reference, not a supposed fair value. The formula assumes that the three valuation metrics are of equal importance, except in energy and utilities where the Free Cash Flow Yield is ignored to avoid some inconsistencies. VS and QS</em> <em>are capped between -100 and +100</em> <em>when the calculation goes</em> <em>beyond</em> <em>these</em> <em>values.</em></p><h2>Current Data</h2><p>The next table shows the metrics and scores as of last week&#39;s closing. Columns stand for all the data defined above.</p><table style=\"border-collapse:collapse;\"><tbody><tr><td style=\"text-align:left;\"><p></p></td><td style=\"text-align:left;\"><p>VS</p></td><td style=\"text-align:left;\"><p>QS</p></td><td style=\"text-align:left;\"><p>EY</p></td><td style=\"text-align:left;\"><p>SY</p></td><td style=\"text-align:left;\"><p>FY</p></td><td style=\"text-align:left;\"><p>ROE</p></td><td style=\"text-align:left;\"><p>GM</p></td><td style=\"text-align:left;\"><p>EYh</p></td><td style=\"text-align:left;\"><p>SYh</p></td><td style=\"text-align:left;\"><p>FYh</p></td><td style=\"text-align:left;\"><p>ROEh</p></td><td style=\"text-align:left;\"><p>GMh</p></td><td style=\"text-align:left;\"><p>RetM</p></td><td style=\"text-align:left;\"><p>RetY</p></td></tr><tr><td style=\"text-align:left;\"><p>All</p></td><td style=\"text-align:left;\"><p>-11.08</p></td><td style=\"text-align:left;\"><p>3.02</p></td><td style=\"text-align:left;\"><p>0.0426</p></td><td style=\"text-align:left;\"><p>0.4160</p></td><td style=\"text-align:left;\"><p>0.0222</p></td><td style=\"text-align:left;\"><p>15.94</p></td><td style=\"text-align:left;\"><p>46.06</p></td><td style=\"text-align:left;\"><p>0.0447</p></td><td style=\"text-align:left;\"><p>0.4383</p></td><td style=\"text-align:left;\"><p>0.0290</p></td><td style=\"text-align:left;\"><p>15.06</p></td><td style=\"text-align:left;\"><p>45.98</p></td><td style=\"text-align:left;\"><p>-0.69%</p></td><td style=\"text-align:left;\"><p>-8.32%</p></td></tr><tr><td style=\"text-align:left;\"><p>Cs. Discretionary</p></td><td style=\"text-align:left;\"><p>-17.23</p></td><td style=\"text-align:left;\"><p>-5.83</p></td><td style=\"text-align:left;\"><p>0.0427</p></td><td style=\"text-align:left;\"><p>0.6012</p></td><td style=\"text-align:left;\"><p>0.0196</p></td><td style=\"text-align:left;\"><p>20.10</p></td><td style=\"text-align:left;\"><p>34.24</p></td><td style=\"text-align:left;\"><p>0.0462</p></td><td style=\"text-align:left;\"><p>0.6547</p></td><td style=\"text-align:left;\"><p>0.0306</p></td><td style=\"text-align:left;\"><p>21.36</p></td><td style=\"text-align:left;\"><p>36.34</p></td><td style=\"text-align:left;\"><p>-2.87%</p></td><td style=\"text-align:left;\"><p>-8.00%</p></td></tr><tr><td style=\"text-align:left;\"><p>Cs. Staples</p></td><td style=\"text-align:left;\"><p>-24.23</p></td><td style=\"text-align:left;\"><p>-7.38</p></td><td style=\"text-align:left;\"><p>0.0376</p></td><td style=\"text-align:left;\"><p>0.4248</p></td><td style=\"text-align:left;\"><p>0.0117</p></td><td style=\"text-align:left;\"><p>22.83</p></td><td style=\"text-align:left;\"><p>36.24</p></td><td style=\"text-align:left;\"><p>0.0433</p></td><td style=\"text-align:left;\"><p>0.4893</p></td><td style=\"text-align:left;\"><p>0.0218</p></td><td style=\"text-align:left;\"><p>23.65</p></td><td style=\"text-align:left;\"><p>40.84</p></td><td style=\"text-align:left;\"><p>2.57%</p></td><td style=\"text-align:left;\"><p>-1.61%</p></td></tr><tr><td style=\"text-align:left;\"><p>Energy</p></td><td style=\"text-align:left;\"><p>100*</p></td><td style=\"text-align:left;\"><p>100</p></td><td style=\"text-align:left;\"><p>0.1344</p></td><td style=\"text-align:left;\"><p>0.6767</p></td><td style=\"text-align:left;\"><p>0.0934</p></td><td style=\"text-align:left;\"><p>32.42</p></td><td style=\"text-align:left;\"><p>47.62</p></td><td style=\"text-align:left;\"><p>0.0209</p></td><td style=\"text-align:left;\"><p>0.5441</p></td><td style=\"text-align:left;\"><p>-0.0123</p></td><td style=\"text-align:left;\"><p>5.91</p></td><td style=\"text-align:left;\"><p>42.79</p></td><td style=\"text-align:left;\"><p>-5.49%</p></td><td style=\"text-align:left;\"><p>-2.41%</p></td></tr><tr><td style=\"text-align:left;\"><p>Financials</p></td><td style=\"text-align:left;\"><p>13.65</p></td><td style=\"text-align:left;\"><p>7.72</p></td><td style=\"text-align:left;\"><p>0.0714</p></td><td style=\"text-align:left;\"><p>0.5281</p></td><td style=\"text-align:left;\"><p>0.0812</p></td><td style=\"text-align:left;\"><p>11.52</p></td><td style=\"text-align:left;\"><p>79.81</p></td><td style=\"text-align:left;\"><p>0.0690</p></td><td style=\"text-align:left;\"><p>0.4427</p></td><td style=\"text-align:left;\"><p>0.0687</p></td><td style=\"text-align:left;\"><p>10.79</p></td><td style=\"text-align:left;\"><p>73.43</p></td><td style=\"text-align:left;\"><p>-9.93%</p></td><td style=\"text-align:left;\"><p>-17.60%</p></td></tr><tr><td style=\"text-align:left;\"><p>Healthcare</p></td><td style=\"text-align:left;\"><p>-7.71</p></td><td style=\"text-align:left;\"><p>3.93</p></td><td style=\"text-align:left;\"><p>0.0385</p></td><td style=\"text-align:left;\"><p>0.2491</p></td><td style=\"text-align:left;\"><p>0.0313</p></td><td style=\"text-align:left;\"><p>17.15</p></td><td style=\"text-align:left;\"><p>64.09</p></td><td style=\"text-align:left;\"><p>0.0367</p></td><td style=\"text-align:left;\"><p>0.2947</p></td><td style=\"text-align:left;\"><p>0.0358</p></td><td style=\"text-align:left;\"><p>16.20</p></td><td style=\"text-align:left;\"><p>62.85</p></td><td style=\"text-align:left;\"><p>1.08%</p></td><td style=\"text-align:left;\"><p>-11.04%</p></td></tr><tr><td style=\"text-align:left;\"><p>Industrials</p></td><td style=\"text-align:left;\"><p>-27.66</p></td><td style=\"text-align:left;\"><p>8.88</p></td><td style=\"text-align:left;\"><p>0.0375</p></td><td style=\"text-align:left;\"><p>0.3831</p></td><td style=\"text-align:left;\"><p>0.0194</p></td><td style=\"text-align:left;\"><p>24.72</p></td><td style=\"text-align:left;\"><p>36.74</p></td><td style=\"text-align:left;\"><p>0.0463</p></td><td style=\"text-align:left;\"><p>0.5658</p></td><td style=\"text-align:left;\"><p>0.0284</p></td><td style=\"text-align:left;\"><p>20.88</p></td><td style=\"text-align:left;\"><p>36.96</p></td><td style=\"text-align:left;\"><p>-1.15%</p></td><td style=\"text-align:left;\"><p>-0.72%</p></td></tr><tr><td style=\"text-align:left;\"><p>Technology</p></td><td style=\"text-align:left;\"><p>-22.09</p></td><td style=\"text-align:left;\"><p>15.67</p></td><td style=\"text-align:left;\"><p>0.0352</p></td><td style=\"text-align:left;\"><p>0.1962</p></td><td style=\"text-align:left;\"><p>0.0269</p></td><td style=\"text-align:left;\"><p>28.02</p></td><td style=\"text-align:left;\"><p>62.65</p></td><td style=\"text-align:left;\"><p>0.0396</p></td><td style=\"text-align:left;\"><p>0.2782</p></td><td style=\"text-align:left;\"><p>0.0362</p></td><td style=\"text-align:left;\"><p>21.29</p></td><td style=\"text-align:left;\"><p>62.80</p></td><td style=\"text-align:left;\"><p>3.89%</p></td><td style=\"text-align:left;\"><p>-8.71%</p></td></tr><tr><td style=\"text-align:left;\"><p>Communication</p></td><td style=\"text-align:left;\"><p>-12.12</p></td><td style=\"text-align:left;\"><p>-27.17</p></td><td style=\"text-align:left;\"><p>0.0303</p></td><td style=\"text-align:left;\"><p>0.7946</p></td><td style=\"text-align:left;\"><p>0.0191</p></td><td style=\"text-align:left;\"><p>7.14</p></td><td style=\"text-align:left;\"><p>56.08</p></td><td style=\"text-align:left;\"><p>0.0484</p></td><td style=\"text-align:left;\"><p>0.5303</p></td><td style=\"text-align:left;\"><p>0.0373</p></td><td style=\"text-align:left;\"><p>16.72</p></td><td style=\"text-align:left;\"><p>54.47</p></td><td style=\"text-align:left;\"><p>0.94%</p></td><td style=\"text-align:left;\"><p>-19.96%</p></td></tr><tr><td style=\"text-align:left;\"><p>Materials</p></td><td style=\"text-align:left;\"><p>9.09</p></td><td style=\"text-align:left;\"><p>19.60</p></td><td style=\"text-align:left;\"><p>0.0655</p></td><td style=\"text-align:left;\"><p>0.6526</p></td><td style=\"text-align:left;\"><p>0.0180</p></td><td style=\"text-align:left;\"><p>23.44</p></td><td style=\"text-align:left;\"><p>37.00</p></td><td style=\"text-align:left;\"><p>0.0447</p></td><td style=\"text-align:left;\"><p>0.6136</p></td><td style=\"text-align:left;\"><p>0.0242</p></td><td style=\"text-align:left;\"><p>17.13</p></td><td style=\"text-align:left;\"><p>36.17</p></td><td style=\"text-align:left;\"><p>-3.95%</p></td><td style=\"text-align:left;\"><p>-9.38%</p></td></tr><tr><td style=\"text-align:left;\"><p>Utilities</p></td><td style=\"text-align:left;\"><p>-9.18</p></td><td style=\"text-align:left;\"><p>-5.30</p></td><td style=\"text-align:left;\"><p>0.0488</p></td><td style=\"text-align:left;\"><p>0.4460</p></td><td style=\"text-align:left;\"><p>-0.0928</p></td><td style=\"text-align:left;\"><p>8.88</p></td><td style=\"text-align:left;\"><p>38.39</p></td><td style=\"text-align:left;\"><p>0.0504</p></td><td style=\"text-align:left;\"><p>0.5258</p></td><td style=\"text-align:left;\"><p>-0.0493</p></td><td style=\"text-align:left;\"><p>9.66</p></td><td style=\"text-align:left;\"><p>39.39</p></td><td style=\"text-align:left;\"><p>5.27%</p></td><td style=\"text-align:left;\"><p>-5.86%</p></td></tr><tr><td style=\"text-align:left;\"><p>Real Estate</p></td><td style=\"text-align:left;\"><p>59.25</p></td><td style=\"text-align:left;\"><p>24.56</p></td><td style=\"text-align:left;\"><p>0.0372</p></td><td style=\"text-align:left;\"><p>0.1267</p></td><td style=\"text-align:left;\"><p>0.0135</p></td><td style=\"text-align:left;\"><p>9.63</p></td><td style=\"text-align:left;\"><p>65.98</p></td><td style=\"text-align:left;\"><p>0.0217</p></td><td style=\"text-align:left;\"><p>0.1145</p></td><td style=\"text-align:left;\"><p>0.0069</p></td><td style=\"text-align:left;\"><p>6.49</p></td><td style=\"text-align:left;\"><p>65.44</p></td><td style=\"text-align:left;\"><p>-4.34%</p></td><td style=\"text-align:left;\"><p>-23.95%</p></td></tr></tbody></table><p></p><p>* capped for convenience</p><h2>Score Charts</h2><p>The next chart plots the Value and Quality Scores by sectors (higher is better).</p><p></p><p class=\"t-img-caption\"><img src=\"https://static.tigerbbs.com/df1240702ad47af504b75bbbd2d15605\" alt=\"Value and Quality in GICS sectors (Chart: author; data: Portfolio123)\" title=\"Value and Quality in GICS sectors (Chart: author; data: Portfolio123)\" tg-width=\"640\" tg-height=\"413\"/><span>Value and Quality in GICS sectors (Chart: author; data: Portfolio123)</span></p><p></p><p>Score variation since last month:</p><p></p><p class=\"t-img-caption\"><img src=\"https://static.tigerbbs.com/b6b56bcadf06bfe6c241785c9ad0e4c7\" alt=\"Value and Quality variations (Chart: author; data: Portfolio123)\" title=\"Value and Quality variations (Chart: author; data: Portfolio123)\" tg-width=\"640\" tg-height=\"265\"/><span>Value and Quality variations (Chart: author; data: Portfolio123)</span></p><p></p><p>The next chart plots momentum data.</p><p></p><p class=\"t-img-caption\"><img src=\"https://static.tigerbbs.com/7a5de154c25396ea9a58e051e7cb6eb8\" alt=\"Momentum in GICS sectors ( Chart: author; data: Portfolio123)\" title=\"Momentum in GICS sectors ( Chart: author; data: Portfolio123)\" tg-width=\"640\" tg-height=\"343\"/><span>Momentum in GICS sectors ( Chart: author; data: Portfolio123)</span></p><p></p><h2>Interpretation</h2><p>A hypothetical S&amp;P 500 &#34;median&#34; company is overvalued by 11% relative to average valuation metrics since 2012. The quality score is about 3 points above the baseline. We can translate median yields in their inverse ratios:</p><p><strong>Price/Earnings:</strong> <strong>23.47</strong> <strong>- Price/Sales:</strong> <strong>2.4</strong> <strong>- Price/Free Cash Flow:</strong> <strong>45.05</strong></p><p>The price/free cash flow has deteriorated a lot in the last few months. In March 2022, the P/E ratio was a bit worse (24.04) and the P/FCF was much better (36.50).</p><p>Energy has been the best-ranked sector regarding both value and quality scores for many months. Real estate also looks great in value and quality. The fundamental ratios used to calculate these metrics are not the most relevant for real estate and financials, but looking at their evolution in time makes sense (it is what the scores do). Financials and materials are moderately undervalued relative to 11-year averages (by about 14% and 9%, respectively), and their quality score is above the baseline. Healthcare, utilities and communication services are overvalued by 8 to 12%, other sectors by 17% to 28%. A good quality score may partially justify overvaluation in information technology. The most overpriced sector is industrials.</p><p>The S&amp;P 500 (SPY) is down -9.1% in 12 months, the momentum measured in median return is -8.3% (reported in the table above) and the equal-weight average is -7.9% (measured on RSP). It means that S&amp;P 500 performance has been slightly skewed to the downside by mega-cap companies in this period. The S&amp;P mid-cap 400 index beats the S&amp;P 500 (-6.9% YTD for MDY) and the small cap index Russell 2000 lags it (-13.3% for IWM).</p><p>We use the table above to calculate value and quality scores. It may also be used in a stock-picking process to check how companies stand among their peers. For example, the EY column tells that a large consumer staples company with an Earnings Yield above 0.0376 (or price/earnings below 26.6) is in the better half of the sector regarding this metric. A Dashboard List is sent every month to Quantitative Risk &amp; Value subscribers with the most profitable companies standing in the better half among their peers regarding the three valuation metrics at the same time.</p><p><em>This article is written by Fred Piard for reference only. Please note the risks.</em></p></body></html>","source":"seekingalpha_fund","collect":0,"html":"<!DOCTYPE html>\n<html>\n<head>\n<meta http-equiv=\"Content-Type\" content=\"text/html; charset=utf-8\" />\n<meta name=\"viewport\" content=\"width=device-width,initial-scale=1.0,minimum-scale=1.0,maximum-scale=1.0,user-scalable=no\"/>\n<meta name=\"format-detection\" content=\"telephone=no,email=no,address=no\" />\n<title>IVV: S&P 500 Dashboard For April</title>\n<style type=\"text/css\">\na,abbr,acronym,address,applet,article,aside,audio,b,big,blockquote,body,canvas,caption,center,cite,code,dd,del,details,dfn,div,dl,dt,\nem,embed,fieldset,figcaption,figure,footer,form,h1,h2,h3,h4,h5,h6,header,hgroup,html,i,iframe,img,ins,kbd,label,legend,li,mark,menu,nav,\nobject,ol,output,p,pre,q,ruby,s,samp,section,small,span,strike,strong,sub,summary,sup,table,tbody,td,tfoot,th,thead,time,tr,tt,u,ul,var,video{ font:inherit;margin:0;padding:0;vertical-align:baseline;border:0 }\nbody{ font-size:16px; line-height:1.5; color:#999; background:transparent; }\n.wrapper{ overflow:hidden;word-break:break-all;padding:10px; }\nh1,h2{ font-weight:normal; line-height:1.35; margin-bottom:.6em; }\nh3,h4,h5,h6{ line-height:1.35; margin-bottom:1em; }\nh1{ font-size:24px; }\nh2{ font-size:20px; }\nh3{ font-size:18px; }\nh4{ font-size:16px; }\nh5{ font-size:14px; }\nh6{ font-size:12px; }\np,ul,ol,blockquote,dl,table{ margin:1.2em 0; }\nul,ol{ margin-left:2em; }\nul{ list-style:disc; }\nol{ list-style:decimal; }\nli,li p{ margin:10px 0;}\nimg{ max-width:100%;display:block;margin:0 auto 1em; }\nblockquote{ color:#B5B2B1; border-left:3px solid #aaa; padding:1em; }\nstrong,b{font-weight:bold;}\nem,i{font-style:italic;}\ntable{ width:100%;border-collapse:collapse;border-spacing:1px;margin:1em 0;font-size:.9em; }\nth,td{ padding:5px;text-align:left;border:1px solid #aaa; }\nth{ font-weight:bold;background:#5d5d5d; }\n.symbol-link{font-weight:bold;}\n/* header{ border-bottom:1px solid #494756; } */\n.title{ margin:0 0 8px;line-height:1.3;color:#ddd; }\n.meta {color:#5e5c6d;font-size:13px;margin:0 0 .5em; }\na{text-decoration:none; color:#2a4b87;}\n.meta .head { display: inline-block; overflow: hidden}\n.head .h-thumb { width: 30px; height: 30px; margin: 0; padding: 0; border-radius: 50%; float: left;}\n.head .h-content { margin: 0; padding: 0 0 0 9px; float: left;}\n.head .h-name {font-size: 13px; color: #eee; margin: 0;}\n.head .h-time {font-size: 11px; color: #7E829C; margin: 0;line-height: 11px;}\n.small {font-size: 12.5px; display: inline-block; transform: scale(0.9); -webkit-transform: scale(0.9); transform-origin: left; -webkit-transform-origin: left;}\n.smaller {font-size: 12.5px; display: inline-block; transform: scale(0.8); -webkit-transform: scale(0.8); transform-origin: left; -webkit-transform-origin: left;}\n.bt-text {font-size: 12px;margin: 1.5em 0 0 0}\n.bt-text p {margin: 0}\n</style>\n</head>\n<body>\n<div class=\"wrapper\">\n<header>\n<h2 class=\"title\">\nIVV: S&P 500 Dashboard For April\n</h2>\n\n<h4 class=\"meta\">\n\n\n2023-04-02 10:00 GMT+8&nbsp;&nbsp;&nbsp;<a href=https://seekingalpha.com/article/4591665-ivv-sp500-dashboard-april><strong>Seeking Alpha</strong></a>\n\n\n</h4>\n\n</header>\n<article>\n<div>\n<p>SummaryEnergy and real estate are the best sectors regarding value and quality scores.Industrials and consumer staples are the most overvalued ones.The median free cash flow yield of the S&P 500 has ...</p>\n\n<a href=\"https://seekingalpha.com/article/4591665-ivv-sp500-dashboard-april\">Web Link</a>\n\n</div>\n\n\n</article>\n</div>\n</body>\n</html>\n","type":0,"thumbnail":"","relate_stocks":{"IVV":"标普500指数ETF",".SPX":"S&P 500 Index"},"source_url":"https://seekingalpha.com/article/4591665-ivv-sp500-dashboard-april","is_english":true,"share_image_url":"https://static.laohu8.com/e9f99090a1c2ed51c021029395664489","article_id":"2324046587","content_text":"SummaryEnergy and real estate are the best sectors regarding value and quality scores.Industrials and consumer staples are the most overvalued ones.The median free cash flow yield of the S&P 500 has deteriorated a lot in the last 12 months.Igor Kutyaev/iStock via Getty ImagesThis monthly dashboard series reports sector metrics in the S&P 500 index. It is also a top-down analysis of all ETFs tracking this index. Among them, the iShares Core S&P 500 ETF (NYSEARCA:IVV) is the second most popular behind the SPDR S&P 500 ETF (SPY) regarding assets under management and average daily volume. It is also cheaper in management fee, with an expense ratio of only 0.03%.ShortcutThe next two paragraphs in italic describe the dashboard methodology. They are necessary for new readers to understand the metrics. If you are used to this series or if you are short of time, you can skip them and go to the charts.Base MetricsI calculate the median value of five fundamental ratios in every sector: Earnings Yield (\"EY\"), Sales Yield (\"SY\"), Free Cash Flow Yield (\"FY\"), Return on Equity (\"ROE\"), Gross Margin (\"GM\"). All are calculated on trailing 12 months. For all these ratios, higher is better and negative is bad. EY, SY and FY are medians of the inverse of Price/Earnings, Price/Sales and Price/Free Cash Flow. They are better for statistical studies than price-to-something ratios, which are unusable when the \"something\" is close to zero or negative (for example, companies with negative earnings). I also calculate two momentum metrics for each group: the median monthly return (RetM) and the median annual return (RetY).I prefer medians rather than averages because a median splits a set in a good half and a bad half. Capital-weighted averages are skewed by extreme values and the largest companies. As a consequence, these metrics are designed for stock-picking rather than index investing.Value and Quality ScoresHistorical baselines are calculated as the averages on a look-back period of 11 years for all metrics. They are noted respectively EYh, SYh, FYh, ROEh, GMh. For example, the value of EYh for technology in the table below is the 11-year average of the median Earnings Yield of S&P 500 tech companies.The Value Score \"VS\" is the average difference in % between the three valuation ratios (EY, SY, FY) and their baselines (EYh, SYh, FYh). The same way, the Quality Score \"QS\" is the average difference between the two quality ratios (ROE, GM) and their baselines (ROEh, GMh).VS may be interpreted as the percentage of undervaluation or overvaluation relative to the baseline (positive is good, negative is bad). This interpretation must be taken with caution: the baseline is an arbitrary reference, not a supposed fair value. The formula assumes that the three valuation metrics are of equal importance, except in energy and utilities where the Free Cash Flow Yield is ignored to avoid some inconsistencies. VS and QS are capped between -100 and +100 when the calculation goes beyond these values.Current DataThe next table shows the metrics and scores as of last week's closing. Columns stand for all the data defined above.VSQSEYSYFYROEGMEYhSYhFYhROEhGMhRetMRetYAll-11.083.020.04260.41600.022215.9446.060.04470.43830.029015.0645.98-0.69%-8.32%Cs. Discretionary-17.23-5.830.04270.60120.019620.1034.240.04620.65470.030621.3636.34-2.87%-8.00%Cs. Staples-24.23-7.380.03760.42480.011722.8336.240.04330.48930.021823.6540.842.57%-1.61%Energy100*1000.13440.67670.093432.4247.620.02090.5441-0.01235.9142.79-5.49%-2.41%Financials13.657.720.07140.52810.081211.5279.810.06900.44270.068710.7973.43-9.93%-17.60%Healthcare-7.713.930.03850.24910.031317.1564.090.03670.29470.035816.2062.851.08%-11.04%Industrials-27.668.880.03750.38310.019424.7236.740.04630.56580.028420.8836.96-1.15%-0.72%Technology-22.0915.670.03520.19620.026928.0262.650.03960.27820.036221.2962.803.89%-8.71%Communication-12.12-27.170.03030.79460.01917.1456.080.04840.53030.037316.7254.470.94%-19.96%Materials9.0919.600.06550.65260.018023.4437.000.04470.61360.024217.1336.17-3.95%-9.38%Utilities-9.18-5.300.04880.4460-0.09288.8838.390.05040.5258-0.04939.6639.395.27%-5.86%Real Estate59.2524.560.03720.12670.01359.6365.980.02170.11450.00696.4965.44-4.34%-23.95%* capped for convenienceScore ChartsThe next chart plots the Value and Quality Scores by sectors (higher is better).Value and Quality in GICS sectors (Chart: author; data: Portfolio123)Score variation since last month:Value and Quality variations (Chart: author; data: Portfolio123)The next chart plots momentum data.Momentum in GICS sectors ( Chart: author; data: Portfolio123)InterpretationA hypothetical S&P 500 \"median\" company is overvalued by 11% relative to average valuation metrics since 2012. The quality score is about 3 points above the baseline. We can translate median yields in their inverse ratios:Price/Earnings: 23.47 - Price/Sales: 2.4 - Price/Free Cash Flow: 45.05The price/free cash flow has deteriorated a lot in the last few months. In March 2022, the P/E ratio was a bit worse (24.04) and the P/FCF was much better (36.50).Energy has been the best-ranked sector regarding both value and quality scores for many months. Real estate also looks great in value and quality. The fundamental ratios used to calculate these metrics are not the most relevant for real estate and financials, but looking at their evolution in time makes sense (it is what the scores do). Financials and materials are moderately undervalued relative to 11-year averages (by about 14% and 9%, respectively), and their quality score is above the baseline. Healthcare, utilities and communication services are overvalued by 8 to 12%, other sectors by 17% to 28%. A good quality score may partially justify overvaluation in information technology. The most overpriced sector is industrials.The S&P 500 (SPY) is down -9.1% in 12 months, the momentum measured in median return is -8.3% (reported in the table above) and the equal-weight average is -7.9% (measured on RSP). It means that S&P 500 performance has been slightly skewed to the downside by mega-cap companies in this period. The S&P mid-cap 400 index beats the S&P 500 (-6.9% YTD for MDY) and the small cap index Russell 2000 lags it (-13.3% for IWM).We use the table above to calculate value and quality scores. It may also be used in a stock-picking process to check how companies stand among their peers. For example, the EY column tells that a large consumer staples company with an Earnings Yield above 0.0376 (or price/earnings below 26.6) is in the better half of the sector regarding this metric. A Dashboard List is sent every month to Quantitative Risk & Value subscribers with the most profitable companies standing in the better half among their peers regarding the three valuation metrics at the same time.This article is written by Fred Piard for reference only. Please note the risks.","news_type":1},"isVote":1,"tweetType":1,"viewCount":190,"commentLimit":10,"likeStatus":false,"favoriteStatus":false,"reportStatus":false,"symbols":[],"verified":2,"subType":0,"readableState":1,"langContent":"EN","currentLanguage":"EN","warmUpFlag":false,"orderFlag":false,"shareable":true,"causeOfNotShareable":"","featuresForAnalytics":[],"commentAndTweetFlag":false,"andRepostAutoSelectedFlag":false,"upFlag":false,"length":4,"xxTargetLangEnum":"ORIG"},"commentList":[],"hasMoreComment":false,"orderType":2}