{"id":42469,"date":"2025-12-19T14:00:00","date_gmt":"2025-12-19T06:00:00","guid":{"rendered":"https:\/\/www.tejwin.com\/?post_type=insight&#038;p=42469"},"modified":"2026-03-24T14:18:14","modified_gmt":"2026-03-24T06:18:14","slug":"burton-g-malkiels-rules-for-successful-stock-selection","status":"publish","type":"insight","link":"https:\/\/www.tejwin.com\/en\/insight\/burton-g-malkiels-rules-for-successful-stock-selection\/","title":{"rendered":"Burton G. Malkiel\u2019s Rules for Successful Stock Selection"},"content":{"rendered":"\n<figure class=\"wp-block-image aligncenter size-full is-resized\"><img fetchpriority=\"high\" decoding=\"async\" width=\"732\" height=\"407\" src=\"https:\/\/www.tejwin.com\/wp-content\/uploads\/\u622a\u5716-2025-12-18-\u4e0b\u53481.36.35.png\" alt=\"\" class=\"wp-image-42315\" style=\"width:800px;height:auto\" srcset=\"https:\/\/www.tejwin.com\/wp-content\/uploads\/\u622a\u5716-2025-12-18-\u4e0b\u53481.36.35.png 732w, https:\/\/www.tejwin.com\/wp-content\/uploads\/\u622a\u5716-2025-12-18-\u4e0b\u53481.36.35-300x167.png 300w, https:\/\/www.tejwin.com\/wp-content\/uploads\/\u622a\u5716-2025-12-18-\u4e0b\u53481.36.35-150x83.png 150w\" sizes=\"(max-width: 732px) 100vw, 732px\" \/><figcaption class=\"wp-element-caption\">Photo by <a href=\"https:\/\/unsplash.com\/@tingeyinjurylawfirm?utm_content=creditCopyText&amp;utm_medium=referral&amp;utm_source=unsplash\" target=\"_blank\" rel=\"noopener\">Tingey Injury Law Firm<\/a> on <a href=\"https:\/\/unsplash.com\/photos\/woman-holding-sword-statue-during-daytime-DZpc4UY8ZtY?utm_content=creditCopyText&amp;utm_medium=referral&amp;utm_source=unsplash\" target=\"_blank\" rel=\"noopener\">Unsplash<\/a><\/figcaption><\/figure>\n\n\n\n<div id=\"ez-toc-container\" class=\"ez-toc-v2_0_81 counter-hierarchy ez-toc-counter ez-toc-grey ez-toc-container-direction\">\n<p class=\"ez-toc-title\" style=\"cursor:inherit\">Table of Contents<\/p>\n<label for=\"ez-toc-cssicon-toggle-item-69d4c24899d37\" class=\"ez-toc-cssicon-toggle-label\"><span class=\"ez-toc-cssicon\"><span class=\"eztoc-hide\" style=\"display:none;\">Toggle<\/span><span class=\"ez-toc-icon-toggle-span\"><svg style=\"fill: #999;color:#999\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" class=\"list-377408\" width=\"20px\" height=\"20px\" viewBox=\"0 0 24 24\" fill=\"none\"><path d=\"M6 6H4v2h2V6zm14 0H8v2h12V6zM4 11h2v2H4v-2zm16 0H8v2h12v-2zM4 16h2v2H4v-2zm16 0H8v2h12v-2z\" fill=\"currentColor\"><\/path><\/svg><svg style=\"fill: #999;color:#999\" class=\"arrow-unsorted-368013\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"10px\" height=\"10px\" viewBox=\"0 0 24 24\" version=\"1.2\" baseProfile=\"tiny\"><path d=\"M18.2 9.3l-6.2-6.3-6.2 6.3c-.2.2-.3.4-.3.7s.1.5.3.7c.2.2.4.3.7.3h11c.3 0 .5-.1.7-.3.2-.2.3-.5.3-.7s-.1-.5-.3-.7zM5.8 14.7l6.2 6.3 6.2-6.3c.2-.2.3-.5.3-.7s-.1-.5-.3-.7c-.2-.2-.4-.3-.7-.3h-11c-.3 0-.5.1-.7.3-.2.2-.3.5-.3.7s.1.5.3.7z\"\/><\/svg><\/span><\/span><\/label><input type=\"checkbox\"  id=\"ez-toc-cssicon-toggle-item-69d4c24899d37\"  aria-label=\"Toggle\" \/><nav><ul class='ez-toc-list ez-toc-list-level-1 ' ><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-1\" href=\"https:\/\/www.tejwin.com\/en\/insight\/burton-g-malkiels-rules-for-successful-stock-selection\/#From_%E2%80%9CRandom_Walk%E2%80%9D_to_%E2%80%9CRational_Stock_Picking%E2%80%9D_The_Investment_Philosophy_of_Burton_G_Malkiel\" >From &#8220;Random Walk&#8221; to &#8220;Rational Stock Picking&#8221;: The Investment Philosophy of Burton G. Malkiel<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-2\" href=\"https:\/\/www.tejwin.com\/en\/insight\/burton-g-malkiels-rules-for-successful-stock-selection\/#Quantitative_Strategy_for_the_Masters_Rules_in_the_Taiwan_Stock_Market\" >Quantitative Strategy for the Master&#8217;s Rules in the Taiwan Stock Market<\/a><ul class='ez-toc-list-level-3' ><li class='ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-3\" href=\"https:\/\/www.tejwin.com\/en\/insight\/burton-g-malkiels-rules-for-successful-stock-selection\/#Burton_G_Malkiels_Selection_Criteria\" >Burton G. Malkiel\u2019s Selection Criteria<\/a><ul class='ez-toc-list-level-4' ><li class='ez-toc-heading-level-4'><a class=\"ez-toc-link ez-toc-heading-4\" href=\"https:\/\/www.tejwin.com\/en\/insight\/burton-g-malkiels-rules-for-successful-stock-selection\/#Stock_Selection_Rules\" >Stock Selection Rules:<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-4'><a class=\"ez-toc-link ez-toc-heading-5\" href=\"https:\/\/www.tejwin.com\/en\/insight\/burton-g-malkiels-rules-for-successful-stock-selection\/#Data_Source_and_Parameter_Settings\" >Data Source and Parameter Settings:<\/a><\/li><\/ul><\/li><\/ul><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-6\" href=\"https:\/\/www.tejwin.com\/en\/insight\/burton-g-malkiels-rules-for-successful-stock-selection\/#Practical_Implementation_of_Burton_G_Malkiels_Long-Term_Strategy_in_the_Taiwan_Stock_Market\" >Practical Implementation of Burton G. Malkiel\u2019s Long-Term Strategy in the Taiwan Stock Market<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-7\" href=\"https:\/\/www.tejwin.com\/en\/insight\/burton-g-malkiels-rules-for-successful-stock-selection\/#Conclusion_Effectiveness_of_the_Master_Strategy_and_Recommendations_for_Model_Optimization\" >Conclusion: Effectiveness of the Master Strategy and Recommendations for Model Optimization<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-8\" href=\"https:\/\/www.tejwin.com\/en\/insight\/burton-g-malkiels-rules-for-successful-stock-selection\/#Strategy_Optimization_Recommendations\" >Strategy Optimization Recommendations<\/a><\/li><\/ul><\/nav><\/div>\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"From_%E2%80%9CRandom_Walk%E2%80%9D_to_%E2%80%9CRational_Stock_Picking%E2%80%9D_The_Investment_Philosophy_of_Burton_G_Malkiel\"><\/span><strong>From &#8220;Random Walk&#8221; to &#8220;Rational Stock Picking&#8221;: The Investment Philosophy of Burton G. Malkiel<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p>Burton G. Malkiel has been one of the most influential economists since the 1970s. In his 1973 classic, <em>A Random Walk Down Wall Street<\/em>, he proposed the famous &#8220;Random Walk Theory,&#8221; arguing that markets are efficient most of the time and strongly advising the public to prioritize low-cost index investing.<\/p>\n\n\n\n<p>However, Malkiel also recognizes that markets are not flawless. For investors seeking to outperform the market, he offers a &#8220;survival guide.&#8221; He contends that investors should not blindly follow technical analysis but should instead rationally combine the &#8220;Firm-Foundation Theory&#8221; (intrinsic value based on fundamentals) with the &#8220;Castle-in-the-Air Theory&#8221; (psychology of crowd expectations) to identify targets with growth potential and reasonable valuations.<\/p>\n\n\n\n<p>The core of his strategy is not predicting short-term market trends, but rather using disciplined and verifiable criteria to screen for companies whose &#8220;earnings have growth potential, yet whose valuations have not been fully reflected by the market,&#8221; thereby countering random market volatility through long-term investing.<\/p>\n\n\n\n<p>This research utilizes the TEJ Quantitative Database to precisely adapt this master&#8217;s framework\u2014originating from the 20th-century U.S. stock market\u2014to the modern Taiwan stock market. Through high-quality data backtesting, we will verify whether this &#8220;rational stock picking&#8221; strategy can still generate alpha in Taiwan and demonstrate the practical value of data-driven decision-making in risk management and return enhancement.<\/p>\n\n\n\n<p><\/p>\n\n\n\n<div class=\"wp-block-columns are-vertically-aligned-center has-large-font-size is-layout-flex wp-container-core-columns-is-layout-28f84493 wp-block-columns-is-layout-flex\">\n<div class=\"wp-block-column is-vertically-aligned-center has-background has-small-font-size ek-linked-block is-layout-flow wp-block-column-is-layout-flow\" style=\"background-color:#faf3e9\">\n<p class=\"has-text-align-center has-text-color has-background has-link-color wp-elements-3d0211170d8dbbf1d1b01cd55a1e0387\" style=\"color:#5c614d;background-color:#faf3e9;font-size:18px\"><strong>\ud83d\udcca Eliminate Backtest Bias Recreate real-world trading with quantitative data. <\/strong><\/p>\n\n\n\n<div class=\"wp-block-buttons has-background is-content-justification-center is-layout-flex wp-container-core-buttons-is-layout-a89b3969 wp-block-buttons-is-layout-flex\" style=\"background-color:#faf3e9\">\n<div class=\"wp-block-button has-custom-width wp-block-button__width-75\"><a class=\"wp-block-button__link has-background has-medium-font-size has-custom-font-size wp-element-button\" href=\"https:\/\/www.tejwin.com\/en\/insight\/tej-point-in-time-audited-financial-database\/\" style=\"background-color:#a8703f\" target=\"_blank\" rel=\"noreferrer noopener nofollow\"><strong><strong><strong>\ud83d\udc49 Explore TEJ&#8217;s Quantitative Database<\/strong><\/strong><\/strong><\/a><\/div>\n<\/div>\n<a href=\"https:\/\/www.tejwin.com\/en\/solution\/quantitative-finance-solution\/\" class=\"editorskit-block-link\" rel=\"\"><\/a><\/div>\n<\/div>\n\n\n\n<p><\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"Quantitative_Strategy_for_the_Masters_Rules_in_the_Taiwan_Stock_Market\"><\/span><strong>Quantitative Strategy for the Master&#8217;s Rules in the Taiwan Stock Market<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p>To translate Malkiel&#8217;s philosophy of &#8220;High Quality, Low Valuation&#8221; into actionable quantitative logic, we have defined the following entry and exit criteria:<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"Burton_G_Malkiels_Selection_Criteria\"><\/span><strong>Burton G. Malkiel\u2019s Selection Criteria<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h3>\n\n\n\n<h4 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"Stock_Selection_Rules\"><\/span><strong>Stock Selection Rules:<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h4>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Stable Growth Characteristics:<\/strong> Over the past four years, the <strong>Revenue Growth Rate (TTM)<\/strong> must have outperformed the industry average for at least two years, and the <strong>Net Profit After Tax (NPAT) Growth Rate<\/strong> must have outperformed the industry average for at least three years.<\/li>\n\n\n\n<li><strong>Valuation Screening:<\/strong> Companies meeting the above growth criteria are ranked by their <strong>Price-to-Earnings Ratio (PER)<\/strong> from lowest to highest. The top 30 stocks are selected for the investment portfolio.<\/li>\n\n\n\n<li><strong>Scale Restrictions:<\/strong> Industries with fewer than 40 constituent companies are excluded to ensure the statistical representativeness of the industry average.<\/li>\n<\/ul>\n\n\n\n<h4 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"Data_Source_and_Parameter_Settings\"><\/span><strong>Data Source and Parameter Settings<\/strong>:<span class=\"ez-toc-section-end\"><\/span><\/h4>\n\n\n\n<p>All data for this study is sourced from the <strong>TEJ<\/strong> database, with standardization applied to ensure consistency across multiple years.<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Data Sources:<\/strong> TEJ Financial Database for Investment, TEJ Stock Price Database.<\/li>\n\n\n\n<li><strong>Sample Universe:<\/strong> Common stocks listed on the TWSE and TPEx.<\/li>\n\n\n\n<li><strong>Backtesting Period:<\/strong> January 2020 to July 2025.<\/li>\n\n\n\n<li><strong>Rebalancing Frequency:<\/strong> Every 120 days.<\/li>\n\n\n\n<li><strong>Position Weighting:<\/strong> Equal-weighted allocation.<\/li>\n\n\n\n<li><strong>Initial Capital:<\/strong> NT$ 10 million.<\/li>\n\n\n\n<li><strong>Transaction Costs:<\/strong> * <strong>Buy:<\/strong> 0.1425% commission.<\/li>\n\n\n\n<li><strong>Sell:<\/strong> 0.1425% commission + 0.3% Securities Transaction Tax.<\/li>\n\n\n\n<li><strong>Slippage Cost:<\/strong> Assuming a slippage cost of <strong>1 tick<\/strong> per transaction.<\/li>\n\n\n\n<li><strong>Leverage Limit:<\/strong> 0.9 (Total portfolio market value shall not exceed 90% of account net value).<\/li>\n<\/ul>\n\n\n\n<p><\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"Practical_Implementation_of_Burton_G_Malkiels_Long-Term_Strategy_in_the_Taiwan_Stock_Market\"><\/span><strong>Practical Implementation of Burton G. Malkiel\u2019s Long-Term Strategy in the Taiwan Stock Market<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p>Empirical evidence from our quantitative backtesting model demonstrates that Burton G. Malkiel\u2019s &#8220;Growth and Valuation Balanced Strategy&#8221; exhibits exceptional stability. The backtesting results indicate that over the 64-month testing period, the strategy not only significantly outperformed the broader market in terms of cumulative returns but also demonstrated superior alpha-generating capabilities (with an Alpha of 0.22).<\/p>\n\n\n\n<p>Despite the high volatility of the Taiwan stock market\u2014with an annualized volatility of approximately 32.97%\u2014the strategy maintained a high level of profit efficiency by rigorously screening for targets with actual earnings growth and low P\/E ratios. Its Sharpe Ratio reached 1.10, indicating that the strategy provides excellent risk-adjusted returns while accounting for market risks.<\/p>\n\n\n\n<p><strong>Table: Summary of Strategy Performance Metrics<\/strong><\/p>\n\n\n\n<figure class=\"wp-block-table\"><table class=\"has-fixed-layout\"><tbody><tr><td><strong>Metric<\/strong><\/td><td class=\"has-text-align-right\" data-align=\"right\"><strong>Malkiel\u2019s Selection Strategy<\/strong><\/td><td class=\"has-text-align-right\" data-align=\"right\"><strong>Benchmark<\/strong><\/td><\/tr><tr><td><strong>Annual return<\/strong><\/td><td class=\"has-text-align-right\" data-align=\"right\">36.24%<\/td><td class=\"has-text-align-right\" data-align=\"right\">15.97 %<\/td><\/tr><tr><td><strong>Cumulative returns<\/strong><\/td><td class=\"has-text-align-right\" data-align=\"right\">421.60%<\/td><td class=\"has-text-align-right\" data-align=\"right\">120.63%<\/td><\/tr><tr><td><strong>Annual Volatility<\/strong><\/td><td class=\"has-text-align-right\" data-align=\"right\">32.97%<\/td><td class=\"has-text-align-right\" data-align=\"right\">18.53 %<\/td><\/tr><tr><td><strong>Sharpe Ratio<\/strong><\/td><td class=\"has-text-align-right\" data-align=\"right\">1.10<\/td><td class=\"has-text-align-right\" data-align=\"right\">0.893<\/td><\/tr><tr><td><strong>Max Drawdown<\/strong><\/td><td class=\"has-text-align-right\" data-align=\"right\">-38.22 %<\/td><td class=\"has-text-align-right\" data-align=\"right\">-26.74%<\/td><\/tr><tr><td><strong>Alpha<\/strong><\/td><td class=\"has-text-align-right\" data-align=\"right\">0.22<\/td><td class=\"has-text-align-right\" data-align=\"right\">-0.003<\/td><\/tr><tr><td><strong>Beta<\/strong><\/td><td class=\"has-text-align-right\" data-align=\"right\">0.92<\/td><td class=\"has-text-align-right\" data-align=\"right\">0.93<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<p>As observed from the <strong>cumulative return curve<\/strong>, the strategy demonstrated exceptional <strong>upside potential<\/strong> during the Taiwan stock market&#8217;s bull run post-2020. This is primarily attributed to the stock selection filters, which accurately captured enterprises with dual excellence in <strong>revenue growth<\/strong> and <strong>net profit after tax (NPAT)<\/strong>.<\/p>\n\n\n\n<p>Even during the significant market correction in 2022, the performance gap between the strategy and the broader market continued to widen, generating significant <strong>alpha<\/strong>. This resilience was largely due to the <strong>valuation cushion<\/strong> provided by the low P\/E ratio requirement, which offered protection during the downturn.<\/p>\n\n\n\n<p><strong>Figure 1: Strategy Cumulative Returns Chart<\/strong><\/p>\n\n\n\n<figure class=\"wp-block-image size-full\"><img decoding=\"async\" width=\"865\" height=\"541\" src=\"https:\/\/www.tejwin.com\/wp-content\/uploads\/image-814.png\" alt=\"\" class=\"wp-image-44589\" srcset=\"https:\/\/www.tejwin.com\/wp-content\/uploads\/image-814.png 865w, https:\/\/www.tejwin.com\/wp-content\/uploads\/image-814-300x188.png 300w, https:\/\/www.tejwin.com\/wp-content\/uploads\/image-814-150x94.png 150w, https:\/\/www.tejwin.com\/wp-content\/uploads\/image-814-768x480.png 768w\" sizes=\"(max-width: 865px) 100vw, 865px\" \/><\/figure>\n\n\n\n<p><strong>Note:<\/strong> The <strong>green line<\/strong> represents the <strong>Backtested Strategy<\/strong>, while the <strong>grey line<\/strong> represents the <strong>Benchmark (TAIEX)<\/strong>.<\/p>\n\n\n\n<p><\/p>\n\n\n\n<p><strong>Figure 2: Maximum Drawdown Profile<\/strong><\/p>\n\n\n\n<p><strong>Maximum Drawdown (MDD)<\/strong> reflects the most extreme <strong>paper losses<\/strong> an investor might encounter during the investment process. This strategy recorded an <strong>MDD of -38.219%<\/strong>, indicating that even with a stable selection logic, significant volatility can still occur during periods of <strong>systemic risk<\/strong>.<\/p>\n\n\n\n<p>This serves as a reminder to quantitative investors that while pursuing high returns, they must simultaneously consider <strong>position concentration<\/strong> and <strong>risk exposure management<\/strong>. Through data analysis, investors can understand how to utilize <strong>risk factors<\/strong> within the <strong>TEJ database<\/strong> to further optimize entry and exit timing, thereby alleviating the psychological pressure caused by significant drawdowns.<\/p>\n\n\n\n<figure class=\"wp-block-image size-full\"><img decoding=\"async\" width=\"865\" height=\"276\" src=\"https:\/\/www.tejwin.com\/wp-content\/uploads\/image-815.png\" alt=\"\" class=\"wp-image-44593\" srcset=\"https:\/\/www.tejwin.com\/wp-content\/uploads\/image-815.png 865w, https:\/\/www.tejwin.com\/wp-content\/uploads\/image-815-300x96.png 300w, https:\/\/www.tejwin.com\/wp-content\/uploads\/image-815-150x48.png 150w, https:\/\/www.tejwin.com\/wp-content\/uploads\/image-815-768x245.png 768w\" sizes=\"(max-width: 865px) 100vw, 865px\" \/><\/figure>\n\n\n\n<p><\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"Conclusion_Effectiveness_of_the_Master_Strategy_and_Recommendations_for_Model_Optimization\"><\/span><strong>Conclusion: Effectiveness of the Master Strategy and Recommendations for Model Optimization<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p>Empirical evidence derived from the <strong>TEJ API<\/strong> and quantitative backtesting models demonstrates that Burton G. Malkiel\u2019s stock-picking rules exhibit significant effectiveness within the Taiwan stock market. The core logic of this study involves a dual screening process combining <strong>&#8220;earnings growth momentum&#8221;<\/strong> with <strong>&#8220;relative valuation levels.&#8221;<\/strong> The empirical results show that over a 64-month testing period, the portfolio achieved a <strong>cumulative return of 421.60%<\/strong> and an <strong>Alpha of 0.22<\/strong>, reflecting the quantitative model&#8217;s robust capacity to generate consistent <strong>excess returns<\/strong>.<\/p>\n\n\n\n<p>In the highly volatile environment of the Taiwan market, the dual-filter approach\u2014incorporating <strong>&#8220;P\/E ratio ranking&#8221;<\/strong> and <strong>&#8220;revenue growth outperforming industry averages&#8221;<\/strong>\u2014successfully identifies targets with long-term competitive advantages. These quantitative findings suggest that even in a market characterized by <strong>&#8220;random walk&#8221;<\/strong> traits, investors can construct <strong>statistically significant portfolios<\/strong> through rigorous factor definitions and high-quality database support. Furthermore, this strategy effectively mitigates the risk of <strong>valuation deviations<\/strong> driven by irrational market sentiment.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"Strategy_Optimization_Recommendations\"><\/span><strong>Strategy Optimization Recommendations<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p><strong><strong>Despite the outstanding backtesting performance, an analysis of the empirical risk metrics suggests the following areas for potential optimization:<\/strong><\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Drawdown Management:<\/strong> The backtest revealed a Maximum Drawdown (MDD) of -38.219%, indicating high sensitivity to systemic risk. Future research could incorporate a &#8220;Market Regime Filter&#8221;\u2014such as monitoring the broader market&#8217;s moving averages\u2014to dynamically adjust exposure during bearish trends. This would enhance the strategy&#8217;s risk-adjusted returns.<\/li>\n\n\n\n<li><strong>Liquidity Constraints: <\/strong>While the strategy currently excludes industries with too few constituents, incorporating a &#8220;Daily Average Trading Value&#8221; or &#8220;Turnover Rate&#8221; threshold into the selection model is recommended to ensure execution feasibility. This would mitigate the slippage impact associated with large-scale trades.<\/li>\n\n\n\n<li><strong>Dynamic Rebalancing Mechanism:<\/strong> The current model utilizes a fixed 120-day rebalancing frequency. Future iterations could implement &#8220;Event-Driven Rebalancing,&#8221; allowing for real-time adjustments based on significant changes in individual stock volatility or fundamentals. This would further optimize capital allocation efficiency.<\/li>\n<\/ul>\n\n\n\n<p><\/p>\n\n\n\n<div class=\"wp-block-columns are-vertically-aligned-center has-large-font-size is-layout-flex wp-container-core-columns-is-layout-28f84493 wp-block-columns-is-layout-flex\">\n<div class=\"wp-block-column is-vertically-aligned-center has-background has-small-font-size ek-linked-block is-layout-flow wp-block-column-is-layout-flow\" style=\"background-color:#faf3e9\">\n<div style=\"height:22px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<p class=\"has-text-align-center has-text-color has-background has-link-color wp-elements-0565a4e1f80946fae6b33e74c89f5cb8\" style=\"color:#5c614d;background-color:#faf3e9;font-size:21px\">\u2b50<strong>Optimize Strategy Development and Simplify Model Construction<\/strong>\u2b50<\/p>\n\n\n\n<p class=\"has-text-align-center has-text-color has-link-color wp-elements-1349f6e360058533bc6d2bf478adf900\" style=\"color:#5c614d;font-size:23px\"><strong>Generate Consistent Excess Returns with Statistically Significant Alpha<\/strong>!<\/p>\n\n\n\n<div class=\"wp-block-buttons has-background is-content-justification-center is-layout-flex wp-container-core-buttons-is-layout-a89b3969 wp-block-buttons-is-layout-flex\" style=\"background-color:#faf3e9\">\n<div class=\"wp-block-button is-style-fill\"><a class=\"wp-block-button__link has-background has-medium-font-size has-custom-font-size wp-element-button\" href=\"https:\/\/www.tejwin.com\/en\/news\/factor-library\/\" style=\"border-radius:100px;background-color:#a8703f\" target=\"_blank\" rel=\"noreferrer noopener nofollow\"><strong><strong>\ud83d\udc49Access TEJ Factor Library<\/strong><\/strong><\/a><\/div>\n<\/div>\n\n\n\n<div style=\"height:22px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n<a href=\"https:\/\/www.tejwin.com\/en\/solution\/quantitative-finance-solution\/\" class=\"editorskit-block-link\" rel=\"\"><\/a><\/div>\n<\/div>\n\n\n\n<p><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Burton G. Malkiel\u00a0is the Chemical Bank Chairman\u2019s Professor of Economics at\u00a0Princeton University. He previously worked in the investment banking division of\u00a0Smith Barney &#038; Co.\u00a0and has served as a director of several large investment institutions, including\u00a0The Vanguard Group\u00a0and\u00a0The Prudential Insurance Company of America. He was also appointed as a member of the\u00a0U.S. President\u2019s Council of Economic Advisers. In both academic and investment circles, he is a highly respected and influential figure.<\/p>\n","protected":false},"featured_media":42316,"template":"","tags":[2962,2988],"insight-category":[690,3509,885],"class_list":["post-42469","insight","type-insight","status-publish","has-post-thumbnail","hentry","tag-market-data","tag-quantitative-analysis","insight-category-data-analysis","insight-category-fintech-en","insight-category-tquant-lab"],"acf":[],"_links":{"self":[{"href":"https:\/\/www.tejwin.com\/en\/wp-json\/wp\/v2\/insight\/42469","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.tejwin.com\/en\/wp-json\/wp\/v2\/insight"}],"about":[{"href":"https:\/\/www.tejwin.com\/en\/wp-json\/wp\/v2\/types\/insight"}],"version-history":[{"count":54,"href":"https:\/\/www.tejwin.com\/en\/wp-json\/wp\/v2\/insight\/42469\/revisions"}],"predecessor-version":[{"id":44684,"href":"https:\/\/www.tejwin.com\/en\/wp-json\/wp\/v2\/insight\/42469\/revisions\/44684"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.tejwin.com\/en\/wp-json\/wp\/v2\/media\/42316"}],"wp:attachment":[{"href":"https:\/\/www.tejwin.com\/en\/wp-json\/wp\/v2\/media?parent=42469"}],"wp:term":[{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.tejwin.com\/en\/wp-json\/wp\/v2\/tags?post=42469"},{"taxonomy":"insight-category","embeddable":true,"href":"https:\/\/www.tejwin.com\/en\/wp-json\/wp\/v2\/insight-category?post=42469"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}