{"id":8363,"date":"2026-09-09T10:26:19","date_gmt":"2026-09-09T04:56:19","guid":{"rendered":"https:\/\/maxiomwealth.com\/blog\/?p=8363"},"modified":"2026-09-09T10:26:21","modified_gmt":"2026-09-09T04:56:21","slug":"high-beta-vs-value-investing-factor-divergence","status":"publish","type":"post","link":"https:\/\/maxiomwealth.com\/blog\/high-beta-vs-value-investing-factor-divergence\/","title":{"rendered":"Why High Beta Stocks Won and Value Stocks Lost This Year"},"content":{"rendered":"<p>The Nifty 50 closed recently at 23,873.5, down 3.4% over the past year and sitting a full 9.3% below its one-year peak, and anyone running a high beta vs value investing comparison over that same stretch would find a far stranger picture underneath that headline number. The Nifty High Beta 50 gained a whopping 23.7% over one year, while the Nifty50 Value 20 lost 6.7% and now sits 11.9% below its own peak, the worst drawdown of any factor index in this set, and every other defensive factor, Low Volatility, Dividend, and Quality, lost money over the year as well. Every risk-taking factor, High Beta, Alpha, and the broader midcap and smallcap universe, made double-digit or near double-digit gains instead. That is not how the textbook says risk and reward are supposed to line up.<\/p>\n\n<div class=\"wp-block-group has-background\" style=\"background-color:#eef3fb;border-color:#c6daf6;border-width:1px;border-radius:8px;padding-top:1.2em;padding-bottom:1.2em;padding-left:1.5em;padding-right:1.5em\"><div class=\"wp-block-group__inner-container is-layout-constrained wp-container-core-group-is-layout-04513a3e wp-block-group-is-layout-constrained\">\n<h3 class=\"wp-block-heading\">Key Takeaways<\/h3>\n<ul class=\"wp-block-list\">\n<li>Nifty High Beta 50 gained 23.7% over one year while the broad market Nifty 50 fell 3.4%, an inversion of the usual risk-reward relationship.<\/li>\n<li>Nifty50 Value 20 lost 6.7% over one year and sits 11.9% below its peak, the steepest drawdown among all factor indices tracked here.<\/li>\n<li>Nifty Midcap 150, Nifty Smallcap 250, and Nifty Microcap 250 rose 9.5%, 9.1%, and 11.4% respectively, all comfortably ahead of the large cap benchmark.<\/li>\n<li>Nifty Alpha 50 gained 11.3% and sits just 1.9% below its own one-year peak, the smallest drawdown of any factor index in this dataset.<\/li>\n<li>Nifty100 Quality 30, Nifty100 Low Volatility 30, and Nifty Dividend Opportunities 50 each posted small one-year losses, showing defensive tilts offered little protection.<\/li>\n<\/ul>\n<\/div><\/div>\n\n<h2 class=\"wp-block-heading\">What Exactly Happened Across Factor Indices This Year?<\/h2>\n<p>A factor index groups stocks by a shared statistical characteristic, such as price volatility, valuation, or dividend consistency, rather than by sector or market capitalisation, and over the past year the divergence between risk-taking factors and defensive factors has been unusually wide and unusually consistent. According to internal analysis of Nifty factor index data, High Beta stocks, which move more sharply than the broader market in both directions, delivered the strongest one-year return of the entire set, and six months alone accounted for a 20.0 percentage point gain within that period, suggesting the rally accelerated recently rather than building steadily through the year.<\/p>\n\n<figure class=\"wp-block-table\"><table class=\"has-fixed-layout\">\n<colgroup><col style=\"width:28%\"\/><col style=\"width:18%\"\/><col style=\"width:18%\"\/><col style=\"width:18%\"\/><col style=\"width:18%\"\/><\/colgroup>\n<thead><tr><th>Index<\/th><th>1-Year Return<\/th><th>6-Month Return<\/th><th>1-Month Return<\/th><th>Below 1-Year Peak<\/th><\/tr><\/thead>\n<tbody>\n<tr><td>Nifty 50<\/td><td>-3.4%<\/td><td>-3.6%<\/td><td>-3.0%<\/td><td>9.3%<\/td><\/tr>\n<tr><td>Nifty High Beta 50<\/td><td>+23.7%<\/td><td>+20.0%<\/td><td>-1.2%<\/td><td>3.5%<\/td><\/tr>\n<tr><td>Nifty Alpha 50<\/td><td>+11.3%<\/td><td>n\/a<\/td><td>n\/a<\/td><td>1.9%<\/td><\/tr>\n<tr><td>Nifty Midcap 150<\/td><td>+9.5%<\/td><td>n\/a<\/td><td>n\/a<\/td><td>n\/a<\/td><\/tr>\n<tr><td>Nifty Smallcap 250<\/td><td>+9.1%<\/td><td>n\/a<\/td><td>n\/a<\/td><td>n\/a<\/td><\/tr>\n<tr><td>Nifty Microcap 250<\/td><td>+11.4%<\/td><td>n\/a<\/td><td>n\/a<\/td><td>n\/a<\/td><\/tr>\n<tr><td>Nifty50 Value 20<\/td><td>-6.7%<\/td><td>-7.2%<\/td><td>-2.6%<\/td><td>11.9%<\/td><\/tr>\n<tr><td>Nifty100 Low Volatility 30<\/td><td>-2.7%<\/td><td>n\/a<\/td><td>n\/a<\/td><td>6.7%<\/td><\/tr>\n<tr><td>Nifty Low Volatility 50<\/td><td>-3.5%<\/td><td>n\/a<\/td><td>n\/a<\/td><td>6.5%<\/td><\/tr>\n<tr><td>Nifty Dividend Opportunities 50<\/td><td>-1.9%<\/td><td>n\/a<\/td><td>n\/a<\/td><td>10.2%<\/td><\/tr>\n<tr><td>Nifty100 Quality 30<\/td><td>-1.0%<\/td><td>n\/a<\/td><td>n\/a<\/td><td>5.6%<\/td><\/tr>\n<\/tbody>\n<\/table><\/figure>\n\n<p><em>Source: internal analysis of Nifty factor index data, recomputed from daily closing prices as of early September 2026. n\/a denotes figures not tracked separately for that index in this analysis.<\/em><\/p>\n<p>Look at the pattern closely and a clear theme emerges from it. Every index built to capture broad-based risk-taking, meaning High Beta, Alpha, Midcap, Smallcap, and Microcap, posted solid double-digit or near double-digit gains, while every index built to dampen risk, meaning Value, both Low Volatility variants, Dividend Opportunities, and Quality, posted losses across the same period. Hence the divergence is not a scattering of noise across a handful of indices, since it runs consistently through the entire factor spectrum in one direction.<\/p>\n<h2 class=\"wp-block-heading\">Why Did the Market Pay Investors to Take on Risk?<\/h2>\n<p>Markets typically reward patience and downside protection during periods of uncertainty, which is exactly when Value and Low Volatility factors are supposed to earn their keep for a cautious investment advisor&#8217;s client book. This year appears to have run the opposite way, because the Nifty High Beta 50 is only 3.5% below its own one-year peak while the broad market sits 9.3% below its peak over the same stretch. That gap suggests high beta stocks recovered from broader market weakness faster and more completely than the index they are meant to move alongside. Of course, high beta stocks amplify both rallies and corrections, so a smaller drawdown at any single point in time does not mean lower risk was actually taken, it means the risk simply worked out in the investor&#8217;s favour this particular year.<\/p>\n<p>Interestingly, the Nifty Alpha 50, which is constructed to hold stocks with the strongest risk-adjusted momentum rather than raw volatility, posted an 11.3% one-year gain while sitting just 1.9% below its own peak, the smallest drawdown of any index in this entire dataset. That combination of a solid gain and a shallow drawdown is unusual, and it points to a market that rewarded names already showing price strength more than it rewarded names offering purely statistical safety. No wonder the midcap, smallcap, and microcap segments, which carry structurally higher volatility than the Nifty 50, also posted meaningful gains rather than losses through the same period.<\/p>\n<h2 class=\"wp-block-heading\">What Does the Value Factor&#8217;s Underperformance Tell Us?<\/h2>\n<p>The Nifty50 Value 20 recorded the steepest drawdown among every factor index tracked in this analysis, worse even than the Nifty Dividend Opportunities 50, which stood 10.2% below its own peak over the same period. Value investing, in its classic form, looks for stocks trading cheap relative to earnings, book value, or cash flow, on the theory that the market has mispriced them and will eventually correct that gap. Benjamin Graham, whose framework underpins much of value investing to this day, wrote that in the short run the market behaves like a voting machine, but in the long run it behaves like a weighing machine. This year&#8217;s numbers are a reminder that the voting machine can run against cheap stocks for stretches that feel far longer than any single quarter or two.<\/p>\n<p>Value&#8217;s underperformance alongside Low Volatility and Dividend Opportunities suggests the market was not simply rotating between two neat buckets of cheap and expensive stocks this year. It was rewarding a specific combination of price momentum and earnings growth expectations, the very traits that High Beta and Alpha are designed to capture, over the combination of low price multiples and balance sheet conservatism that Value and Quality tend to hold. That is a meaningfully different rotation than the classic growth versus value debate, and it is worth naming precisely rather than folding it into a generic risk-on narrative that a good financial advisor would want to unpack for a client.<\/p>\n<h2 class=\"wp-block-heading\">How Should HNI Portfolios Think About Factor Tilts?<\/h2>\n<p>This is where the Liquidity, Safety, Growth framework becomes useful for an investor deciding how much factor risk to carry in a wealth management plan at all. LSG asks an investor to separate money earmarked for near-term liquidity needs, capital that must stay safe regardless of market cycles, and capital genuinely committed to long-term growth through equity, and to allocate judiciously across the three buckets based on individual risk profile and time horizon rather than on which factor happened to win this year. Clearly, a year of sharp factor divergence is a reason to revisit allocation discipline within the Growth bucket, not a reason to redraw the boundaries between the three buckets themselves.<\/p>\n<p>A staggered approach through a systematic investment plan, such as the one modelled on Maxiom Wealth&#8217;s <a href=\"https:\/\/maxiomwealth.com\/resources\/calculators\/sip\">SIP calculator<\/a>, spreads entry points across a full market cycle rather than committing growth capital at a single valuation snapshot. Investors weighing a lump sum allocation instead can model outcomes across different entry timings using the <a href=\"https:\/\/maxiomwealth.com\/resources\/calculators\/lumpsum\">lumpsum calculator<\/a>, which is particularly relevant when factor indices are trading near their own one-year peaks. Having said that, factor tilts are a portfolio construction decision that benefits from professional oversight, which is exactly what an ongoing <a href=\"https:\/\/maxiomwealth.com\/wealth-services\/portfolio-management\">portfolio management service<\/a> is built to handle across shifting market cycles.<\/p>\n<h2 class=\"wp-block-heading\">Where Does Stock-Specific Quality Fit Into This Picture?<\/h2>\n<p>Factor indices are constructed mechanically, rebalanced on a fixed schedule against a defined statistical rule, which means they cannot distinguish between a genuinely strong business trading at a reasonable price and a weak one simply displaying the right numerical signature that quarter. That distinction is where a bottom-up framework like Roots and Wings earns its place alongside factor-level analysis, since it evaluates a company on its financial roots, meaning balance sheet strength, capital efficiency, and forensic accounting checks, together with its growth wings, meaning revenue growth, market dominance, and genuine innovation. A stock can screen as statistically low volatility and still carry weak roots, and equally, a stock can screen as high beta and still be underpinned by strong roots and durable wings, in which case the beta reflects the market&#8217;s changing opinion of a good business rather than a random walk.<\/p>\n<p>Charlie Munger put this well when he said the big money is not in the buying and the selling, but in the waiting, a reminder that factor rotations across a single year rarely change the multi-year case for a fundamentally sound company. For an investor evaluating whether this year&#8217;s midcap and smallcap strength reflects durable earnings quality rather than a passing re-rating, a strategy built around quality and momentum together, detailed on the <a href=\"https:\/\/maxiomassetmanagement.com\/gem-pms-quality-momentum\">GEM quality and momentum strategy page<\/a>, applies exactly this kind of stock-level filter on top of factor-level trends. Similarly, portfolios seeking exposure to large and midcap names through a research-led PMS process can look at the <a href=\"https:\/\/maxiomassetmanagement.com\/jewel-pms-large-midcap-focused\">Jewel large and midcap focused strategy<\/a>, while investors comfortable with smallcap volatility have the <a href=\"https:\/\/maxiomassetmanagement.com\/spark-pms-smallcap-5000-cr-cos\">Spark smallcap strategy<\/a> as a more targeted route.<\/p>\n<h2 class=\"wp-block-heading\">What Should Investors Watch Before Reacting to This Divergence?<\/h2>\n<p>This analysis makes no claim about whether High Beta&#8217;s run continues or whether Value stages a comeback from its current drawdown, since factor leadership has historically rotated over multi-year cycles rather than persisting indefinitely in one direction. What the data does establish clearly is that the past year rewarded risk-taking factors over defensive ones by a wide and consistent margin, and that the broad market&#8217;s own decline sat in between those two extremes rather than tracking either one. Indeed, an investor holding a portfolio concentrated in Low Volatility or Dividend strategies over this period would have underperformed the broad market meaningfully, while one concentrated in High Beta or Alpha would have outperformed it by an even wider margin.<\/p>\n\n<figure class=\"wp-block-table\"><table class=\"has-fixed-layout\">\n<colgroup><col style=\"width:34%\"\/><col style=\"width:33%\"\/><col style=\"width:33%\"\/><\/colgroup>\n<thead><tr><th>Factor Grouping<\/th><th>Indices Included<\/th><th>1-Year Return Range<\/th><\/tr><\/thead>\n<tbody>\n<tr><td>Risk-taking factors<\/td><td>High Beta 50, Alpha 50, Midcap 150, Smallcap 250, Microcap 250<\/td><td>+9.1% to +23.7%<\/td><\/tr>\n<tr><td>Defensive factors<\/td><td>Value 20, Low Volatility 30, Low Volatility 50, Dividend Opportunities 50, Quality 30<\/td><td>-1.0% to -6.7%<\/td><\/tr>\n<tr><td>Broad market benchmark<\/td><td>Nifty 50<\/td><td>-3.4%<\/td><\/tr>\n<\/tbody>\n<\/table><\/figure>\n\n<p><em>Source: internal analysis of Nifty factor index data, one-year returns as of early September 2026.<\/em><\/p>\n<p>Tax planning deserves a mention too, since a year of strong gains in High Beta, Alpha, or smallcap allocations can push an HNI portfolio into meaningful long-term or short-term capital gains territory depending on holding period. Reviewing gains harvesting and holding period timing through Maxiom Wealth&#8217;s <a href=\"https:\/\/maxiomwealth.com\/wealth-services\/tax-planning\">tax planning service<\/a> before any rebalancing decision is a practical way to avoid an avoidable tax drag on what has otherwise been a strong year for risk-taking factors.<\/p>\n<h2 class=\"wp-block-heading\">To Sum Up<\/h2>\n<p>To sum up, this year&#8217;s factor data shows a market that paid investors for taking on risk rather than for playing safe, with the gap between the best and worst performing factor running into the mid-thirties in percentage point terms. That inversion of the usual risk-reward relationship does not predict what happens next, and it should not be read as a signal to abandon a diversified factor exposure in favour of a single winning one. It is, however, a useful reminder that defensive factors are not a guarantee against losses in every environment, and Maxiom Wealth&#8217;s approach of blending factor awareness with bottom-up stock quality through frameworks like Roots and Wings and LSG, delivered through disciplined wealth management rather than one-off calls, exists precisely for years like this one, where the mechanical signal and the underlying business fundamentals can pull in different directions.<\/p>\n<p><em>Disclaimer: This article is for informational purposes and reflects analysis of historical index data as of early September 2026. It is not personalised investment advice. Past performance of any factor index is not indicative of future returns. Investors should assess their own risk profile before making allocation decisions.<\/em><\/p>\n\n<div class=\"wp-block-group has-background\" style=\"background-color:#f6f6f6;border-color:#d5d5d5;border-width:1px;border-radius:8px;padding-top:1.2em;padding-bottom:1.2em;padding-left:1.5em;padding-right:1.5em\"><div class=\"wp-block-group__inner-container is-layout-constrained wp-container-core-group-is-layout-04513a3e wp-block-group-is-layout-constrained\">\n<h2 class=\"wp-block-heading\">Frequently Asked Questions<\/h2>\n<h3 class=\"wp-block-heading\">Why did High Beta stocks outperform Value stocks this year?<\/h3>\n<p>Nifty High Beta 50 gained 23.7% over one year while Nifty50 Value 20 lost 6.7%, as the market rewarded price momentum and growth expectations over low valuation multiples, per internal analysis of Nifty factor index data.<\/p>\n<h3 class=\"wp-block-heading\">How far is the Nifty 50 from its one-year peak?<\/h3>\n<p>The Nifty 50 closed at 23,873.5, which is 9.3% below its one-year peak, while the Nifty High Beta 50 is only 3.5% below its own peak over the same period.<\/p>\n<h3 class=\"wp-block-heading\">Did midcap and smallcap stocks outperform the Nifty 50 this year?<\/h3>\n<p>Yes, Nifty Midcap 150 rose 9.5%, Nifty Smallcap 250 rose 9.1%, and Nifty Microcap 250 rose 11.4% over one year, compared with a 3.4% decline in the Nifty 50.<\/p>\n<h3 class=\"wp-block-heading\">What is the LSG framework in portfolio allocation?<\/h3>\n<p>LSG stands for Liquidity, Safety, and Growth, a framework that allocates capital across near-term liquidity needs, capital preservation, and long-term equity growth based on an investor&#8217;s individual risk profile.<\/p>\n<\/div><\/div>\n\n\n<script type=\"application\/ld+json\">{\"@context\": \"https:\/\/schema.org\", \"@type\": \"FAQPage\", \"mainEntity\": [{\"@type\": \"Question\", \"name\": \"Why did High Beta stocks outperform Value stocks this year?\", \"acceptedAnswer\": {\"@type\": \"Answer\", \"text\": \"Nifty High Beta 50 gained 23.7% over one year while Nifty50 Value 20 lost 6.7%, as the market rewarded price momentum and growth expectations over low valuation multiples, per internal analysis of Nifty factor index data.\"}}, {\"@type\": \"Question\", \"name\": \"How far is the Nifty 50 from its one-year peak?\", \"acceptedAnswer\": {\"@type\": \"Answer\", \"text\": \"The Nifty 50 closed at 23,873.5, which is 9.3% below its one-year peak, while the Nifty High Beta 50 is only 3.5% below its own peak over the same period.\"}}, {\"@type\": \"Question\", \"name\": \"Did midcap and smallcap stocks outperform the Nifty 50 this year?\", \"acceptedAnswer\": {\"@type\": \"Answer\", \"text\": \"Yes, Nifty Midcap 150 rose 9.5%, Nifty Smallcap 250 rose 9.1%, and Nifty Microcap 250 rose 11.4% over one year, compared with a 3.4% decline in the Nifty 50.\"}}, {\"@type\": \"Question\", \"name\": \"What is the LSG framework in portfolio allocation?\", \"acceptedAnswer\": {\"@type\": \"Answer\", \"text\": \"LSG stands for Liquidity, Safety, and Growth, a framework that allocates capital across near-term liquidity needs, capital preservation, and long-term equity growth based on an investor's individual risk profile.\"}}]}<\/script>\n","protected":false},"excerpt":{"rendered":"<p>The Nifty 50 closed recently at 23,873.5, down 3.4% over the past year and sitting a full 9.3% below its one-year peak, and anyone running a high beta vs value investing comparison over that same stretch would find a far stranger picture underneath that headline number. The Nifty High Beta 50 gained a whopping 23.7%&hellip;&nbsp;<a href=\"https:\/\/maxiomwealth.com\/blog\/high-beta-vs-value-investing-factor-divergence\/\" class=\"\" rel=\"bookmark\">Read More &raquo;<span class=\"screen-reader-text\">Why High Beta Stocks Won and Value Stocks Lost This Year<\/span><\/a><\/p>\n","protected":false},"author":3,"featured_media":8373,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[8],"tags":[1322,1323,1325,873,1324],"class_list":["post-8363","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-wealth-creation-portfolio-management-pms-investment-advisory","tag-factor-investing","tag-high-beta-stocks","tag-nifty-factor-indices","tag-portfolio-strategy","tag-value-investing-india"],"_links":{"self":[{"href":"https:\/\/maxiomwealth.com\/blog\/wp-json\/wp\/v2\/posts\/8363","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/maxiomwealth.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/maxiomwealth.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/maxiomwealth.com\/blog\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/maxiomwealth.com\/blog\/wp-json\/wp\/v2\/comments?post=8363"}],"version-history":[{"count":1,"href":"https:\/\/maxiomwealth.com\/blog\/wp-json\/wp\/v2\/posts\/8363\/revisions"}],"predecessor-version":[{"id":8372,"href":"https:\/\/maxiomwealth.com\/blog\/wp-json\/wp\/v2\/posts\/8363\/revisions\/8372"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/maxiomwealth.com\/blog\/wp-json\/wp\/v2\/media\/8373"}],"wp:attachment":[{"href":"https:\/\/maxiomwealth.com\/blog\/wp-json\/wp\/v2\/media?parent=8363"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/maxiomwealth.com\/blog\/wp-json\/wp\/v2\/categories?post=8363"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/maxiomwealth.com\/blog\/wp-json\/wp\/v2\/tags?post=8363"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}