{"id":74343,"date":"2026-10-20T21:24:24","date_gmt":"2026-10-20T13:24:24","guid":{"rendered":"https:\/\/mister.forex\/?page_id=74343"},"modified":"2026-10-26T12:19:05","modified_gmt":"2026-10-26T04:19:05","slug":"etf-portfolio-diversification","status":"publish","type":"page","link":"https:\/\/mister.forex\/en\/etf-portfolio-diversification\/","title":{"rendered":"Already Own a Broad-Market ETF? Why Diversification Still Matters"},"content":{"rendered":"<div data-elementor-type=\"wp-page\" data-elementor-id=\"74343\" class=\"elementor elementor-74343\" data-elementor-post-type=\"page\">\n\t\t\t\t<div class=\"elementor-element elementor-element-93f4020 e-flex e-con-boxed e-con e-parent\" data-id=\"93f4020\" data-element_type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-b67af76 elementor-widget elementor-widget-heading\" data-id=\"b67af76\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t\t<h1 class=\"elementor-heading-title elementor-size-default\">Why Your Portfolio May Need More Than a Broad Market ETF<\/h1>\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-222829e elementor-hidden-desktop elementor-hidden-tablet elementor-widget elementor-widget-text-editor\" data-id=\"222829e\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p><img fetchpriority=\"high\" decoding=\"async\" class=\"alignnone wp-image-74485 size-medium\" src=\"https:\/\/mister.forex\/wp-content\/uploads\/2026\/10\/Asset-Allocation-Thumbnail-500x281.webp\" alt=\"\" width=\"500\" height=\"281\" srcset=\"https:\/\/mister.forex\/wp-content\/uploads\/2026\/10\/Asset-Allocation-Thumbnail-500x281.webp 500w, https:\/\/mister.forex\/wp-content\/uploads\/2026\/10\/Asset-Allocation-Thumbnail-1200x675.webp 1200w, https:\/\/mister.forex\/wp-content\/uploads\/2026\/10\/Asset-Allocation-Thumbnail-300x169.webp 300w, https:\/\/mister.forex\/wp-content\/uploads\/2026\/10\/Asset-Allocation-Thumbnail-768x432.webp 768w, https:\/\/mister.forex\/wp-content\/uploads\/2026\/10\/Asset-Allocation-Thumbnail-1536x864.webp 1536w, https:\/\/mister.forex\/wp-content\/uploads\/2026\/10\/Asset-Allocation-Thumbnail-18x10.webp 18w, https:\/\/mister.forex\/wp-content\/uploads\/2026\/10\/Asset-Allocation-Thumbnail.webp 1672w\" sizes=\"(max-width: 500px) 100vw, 500px\" \/><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-f1be161 elementor-widget elementor-widget-html translation-block\" data-id=\"f1be161\" data-element_type=\"widget\" data-widget_type=\"html.default\"><span>\r\n\"I've already bought a broad-market ETF that invests in hundreds of companies. Why would I need any other investments?\"\r\n<br><br>\r\n\r\nIf you've wondered the same thing, it's a reasonable question.\r\n<br><br>\r\n\r\nFor many long-term investors, a broad-market ETF is an effective way to build wealth.\r\n<br><br>\r\n\r\nIt offers exposure to overall market growth without the time-consuming task of selecting individual stocks, while substantially reducing the risk of a single company's failure.\r\n<br><br>\r\n\r\nBut there's an important question that often gets overlooked:\r\n<br><br>\r\n\r\n<strong>An ETF diversifies single-stock risk. What diversifies your exposure when the whole market falls?<\/strong>\r\n<br><br>\r\n\r\nEven owning several ETFs can mean holding the same companies repeatedly, or exposing your entire portfolio to similar market risks.\r\n<br><br>\r\n\r\nHistory also shows that broad equity ETFs holding hundreds of companies have suffered drawdowns exceeding 50%, followed by recoveries lasting years.\r\n<br><br>\r\n\r\nThat's why portfolio construction requires an understanding of holding overlap, correlation, and risk management.\r\n<br><br>\r\n\r\nEffective diversification isn't simply about owning more products. It's about combining genuinely different sources of return.\r\n<br><br>\r\n\r\nStarting with familiar investments such as ETFs and bonds, this article explains company-specific versus market-wide risk, the role of positive and low correlations, and how alternative investment strategies might change a portfolio's overall risk-and-return profile.\r\n<br><br>\r\n\r\n\r\n<h2><strong>Why hundreds of stocks may still leave you exposed<\/strong><\/h2>\r\n\r\nImagine you own an ETF tracking the S&amp;P 500 Index.\r\n<br><br>\r\n\r\nYour money is spread across large publicly traded U.S. companies rather than concentrated in one stock.\r\n<br><br>\r\n\r\nThis type of diversification offers real benefits.\r\n<br><br>\r\n\r\nIf one company performs poorly, misses earnings expectations, or suffers a steep share-price decline, other holdings may offset part of that loss.\r\n<br><br>\r\n\r\nBut what happens when the entire market falls?\r\n<br><br>\r\n\r\nThink of a recession, financial crisis, runaway inflation, or a broad shift by investors away from risk.\r\n<br><br>\r\n\r\nAt those times, an ETF holding hundreds of companies can still lose substantial value as the market declines together.\r\n<br><br>\r\n\r\nThe reason is simple:\r\n<br><br>\r\n\r\n<strong>ETFs diversify company-specific risk, but they cannot eliminate systematic market risk.<\/strong>\r\n<br><br>\r\n\r\nYou own shares in many different businesses, yet those businesses remain exposed to common economic conditions and market forces.\r\n<br><br>\r\n\r\nIt's like putting eggs into hundreds of separate baskets, then loading every basket onto the same truck.\r\n<br><br>\r\n\r\nEach basket is less vulnerable on its own, but if the truck overturns, they can all be affected.\r\n<br>\r\n\r\n<img class=\"alignnone wp-image-74352 size-large\" src=\"https:\/\/mister.forex\/wp-content\/uploads\/2026\/10\/Market-Risk-1200x437.webp\" alt=\"Stocks across many companies falling with the overall market, illustrating how broad-market ETFs diversify individual-stock risk but cannot remove systematic market risk.\" width=\"800\" height=\"291\" data-wp-editing=\"1\">\r\n<br>\r\n\r\nHolding many companies helps a broad-market ETF reduce company-specific risk (Scenario A), but a market-wide decline can still expose all holdings to systematic risk (Scenario B).\r\n<br><br>\r\n\r\n\r\n<h3><strong>Three ETFs, but the same stocks?<\/strong><\/h3>\r\n\r\n\"Don't put all your eggs in one basket\" is the classic analogy for diversification.\r\n<br><br>\r\n\r\nBut three differently named ETFs might own many of the same businesses. That's like using three baskets filled with essentially the same eggs.\r\n<br><br>\r\n\r\nYour portfolio might, for example, contain:\r\n<br><br>\r\n\r\n<ul>\r\n  <li>An ETF tracking the S&amp;P 500 Index.<\/li>\r\n  <li>An ETF tracking the Nasdaq 100 Index.<\/li>\r\n  <li>A U.S. large-cap growth ETF.<\/li>\r\n<\/ul>\r\n<br>\r\n\r\nThese funds track different indexes or use different selection rules, yet may all own some of the same large technology companies.\r\n<br><br>\r\n\r\nIf a business appears in multiple ETFs, your actual exposure to that company could be greater than you realize.\r\n<br><br>\r\n\r\n<strong>Three ETFs do not necessarily provide three independent sources of risk.<\/strong>\r\n<br><br>\r\n\r\n<img class=\"alignnone wp-image-74413 size-large\" src=\"https:\/\/mister.forex\/wp-content\/uploads\/2026\/10\/ETF-Holdings-Overlap-1200x600.webp\" alt=\"Three investment baskets containing some of the same stocks, illustrating holding overlap and concentration risk even when several ETFs are owned.\" width=\"800\" height=\"400\">\r\n<br>\r\n\r\n<strong>Figure:<\/strong>Different ETFs can hold the same companies. Check their underlying holdings and weights rather than judging diversification solely by the number of funds.\r\n<br><br>\r\n\r\nHolding overlap isn't the only concern, however.\r\n<br><br>\r\n\r\nEven ETFs holding completely different companies can respond to the same interest rates, economic growth, and market sentiment, falling together in a crisis.\r\n<br><br>\r\n\r\nSo the next portfolio-construction question isn't \"How many more stocks can I buy?\" but:\r\n<br><br>\r\n\r\n<strong>Beyond equities, does my portfolio have any other distinct sources of return?<\/strong>\r\n<br><br>\r\n\r\n\r\n<h2><strong>Part Two: Correlation is the key to meaningful diversification<\/strong><\/h2>\r\n\r\nIn investing, the correlation coefficient measures the degree of linear relationship between the returns of two assets.\r\n<br><br>\r\n\r\nIts value ranges from -1 to +1.\r\n<br><br>\r\n\r\n\r\n<h3><strong>Positive correlation: assets tend to rise and fall together<\/strong><\/h3>\r\n\r\nA correlation coefficient near +1 indicates that two assets' returns generally move in closely aligned directions.\r\n<br><br>\r\n\r\nFor example, two ETFs tracking U.S. large-cap stocks may have very similar performance patterns even if they have different names and issuers.\r\n<br><br>\r\n\r\nOwning two highly correlated ETFs may add little meaningful diversification.\r\n<br><br>\r\n\r\n\r\n<h3><strong>Negative correlation: when one asset rises, the other tends to fall<\/strong><\/h3>\r\n\r\nA coefficient near -1 indicates that the two assets' returns tend to move in opposite directions.\r\n<br><br>\r\n\r\nWhen one performs poorly, the other may move the other way.\r\n<br><br>\r\n\r\nCertain combinations of equities and government bonds have displayed negative correlation in particular market environments.\r\n<br><br>\r\n\r\nBut remember:<strong>Stocks and bonds are not always negatively correlated.<\/strong>\r\n<br><br>\r\n\r\nDuring periods of rising inflation and rapidly increasing interest rates, stocks and bonds can decline together.\r\n<br><br>\r\n\r\nWhether bonds diversify equity risk therefore depends on the prevailing market environment.\r\n<br><br>\r\n\r\n\r\n<h3><strong>Zero correlation: no clear linear co-movement between assets<\/strong><\/h3>\r\n\r\nA coefficient near 0 means the assets' returns show little obvious linear relationship.\r\n<br><br>\r\n\r\nFor example:\r\n\r\n<ul>\r\n  <li>When stocks rise, a given strategy might rise or fall.<\/li>\r\n  <li>When stocks fall, that strategy does not necessarily fall with them.<\/li>\r\n  <li>The strategy's performance may instead be driven by other market factors or trading rules.<\/li>\r\n<\/ul>\r\n<br>\r\n\r\nThis does not mean an uncorrelated strategy cannot lose money, or that it will profit when stocks decline.\r\n<br><br>\r\n\r\nRather, it means:\r\n<br><br>\r\n\r\n<strong>Its returns need not follow the direction of the equity market.<\/strong>\r\n<br><br>\r\n\r\nA correlation coefficient close to zero (r \u2248 0) also does not mean that two assets are completely independent. They may still have nonlinear relationships or suffer losses together during extreme market conditions.\r\n<br>\r\n\r\n<img loading=\"lazy\" class=\"alignnone wp-image-74353 size-large\" src=\"https:\/\/mister.forex\/wp-content\/uploads\/2026\/10\/Correlation-1200x600.webp\" alt=\"Three asset-return scatterplots showing positive correlation, negative correlation, and near-zero correlation.\" width=\"800\" height=\"400\">\r\n<br>\r\n\r\nPositively correlated assets (r &gt; 0) tend to move together; negatively correlated assets (r &lt; 0) tend to move in opposite directions; near-zero correlation (r \u2248 0) indicates little clear linear relationship.\r\n<br><br>\r\n\r\nFor investors already holding substantial broad-market ETF positions, this lack of synchronized movement may be valuable.\r\n<br><br>\r\n\r\nDiversification isn't about making every asset rise. It's about avoiding excessive dependence on the same underlying forces.\r\n<br><br>\r\n\r\n\r\n<h2><strong>Already own bonds? Why low correlation still matters<\/strong><\/h2>\r\n\r\nOnce you understand correlation, another question naturally follows:\r\n<br><br>\r\n\r\n\"I already own bond funds alongside my ETFs. Isn't that sufficient?\"\r\n<br><br>\r\n\r\nCombining stocks and bonds is a classic approach to asset allocation.\r\n<br><br>\r\n\r\nEquities commonly serve as long-term growth holdings, while higher-quality bonds may provide interest income and moderate equity volatility under some conditions.\r\n<br><br>\r\n\r\nBut bonds and stocks do not consistently offset one another's risks.\r\n<br><br>\r\n\r\nWhen inflation rises, interest rates adjust rapidly, or market liquidity deteriorates, both may come under pressure.\r\n<br><br>\r\n\r\nEven a portfolio containing both equity ETFs and bond funds may therefore remain exposed to shared market forces.\r\n<br><br>\r\n\r\nSome investors consequently investigate additional sources of return, such as:\r\n<br><br>\r\n\r\n<ul>\r\n  <li>\r\n    <strong>Market-neutral strategies:<\/strong>\r\n    Seek to reduce a portfolio's sensitivity to the overall direction of the market.\r\n  <\/li>\r\n  <li>\r\n    <strong>Trend-following strategies:<\/strong>\r\n    Use price trends to identify potential trading directions across markets.\r\n  <\/li>\r\n  <li>\r\n    <strong>Multi-market quantitative strategies:<\/strong>\r\n    Apply systematic rules or statistical models to find trading opportunities in different markets.\r\n  <\/li>\r\n  <li>\r\n    <strong>Other alternative investments:<\/strong>\r\n    Explore assets or strategies whose return drivers differ from those of traditional stocks and bonds.\r\n  <\/li>\r\n<\/ul>\r\n<br>\r\n\r\nNone of these strategies is automatically better than ETFs or bonds, and not every strategy has low correlation.\r\n<br><br>\r\n\r\nThey merit research because some may use distinct trading rules, portfolio positions, and risk drivers to offer return opportunities outside traditional equities and fixed income.\r\n<br><br>\r\n\r\n<strong>Asset allocation cannot prevent losses. It reduces dependence on any one market environment.<\/strong>\r\n<br><br>\r\n\r\n\r\n<h2><strong>ETF + low correlation: Understanding the 1+1&gt;2 effect<\/strong><\/h2>\r\n\r\nThis is the article's central idea.\r\n<br><br>\r\n\r\nPortfolio risk is not simply the sum of the risks of individual holdings. It also depends on how their returns correlate.\r\n<br><br>\r\n\r\nImagine two different sources of return.\r\n<br><br>\r\n\r\nAsset A is a broad-market equity ETF, while Asset B is an investment strategy with low correlation to that market.\r\n<br><br>\r\n\r\nIf Asset B has acceptable risk, costs, and expected returns, an appropriate combination may reduce total portfolio volatility.\r\n<br><br>\r\n\r\nWhy?\r\n<br><br>\r\n\r\nBecause the two assets do not necessarily rise or fall at the same time.\r\n<br><br>\r\n\r\nWhen one underperforms, the other might remain relatively stable or follow a different return pattern.\r\n<br><br>\r\n\r\nThat potential offset is one of the foundations of diversification.\r\n<br><br>\r\n\r\n\r\n<h3><strong>Understanding diversification with simple numbers<\/strong><\/h3>\r\n\r\nSuppose Asset A (a broad-market ETF) and Asset B (a low-correlation strategy) each have annualized volatility of 20%, and their contemporaneous return correlation is zero (\u03c1 = 0).\r\n<br><br>\r\n\r\nWith a 50% allocation to each, the portfolio's theoretical annualized volatility could fall to approximately <strong>14.1%, below the 20% volatility of either asset held alone.<\/strong>\r\n<br><br>\r\n\r\n<img loading=\"lazy\" class=\"alignnone wp-image-74354\" src=\"https:\/\/mister.forex\/wp-content\/uploads\/2026\/10\/Portfolio-Synergy-1200x568.webp\" alt=\"Asset A and Asset B each have 20% annualized volatility. Assuming zero correlation and 50% invested in each, the portfolio&apos;s theoretical annualized volatility falls to about 14.1%, illustrating how diversification may smooth growth.\" width=\"800\" height=\"379\">\r\n<br>\r\n\r\n<strong>The chart uses hypothetical performance paths to illustrate diversification:<\/strong>Even if Assets A and B both end with positive returns, each may experience substantial swings. Combining assets with low correlation could reduce volatility while maintaining similar expected returns, potentially smoothing the portfolio's growth path.\r\n<br><br>\r\n\r\nThis is known as the<strong>\"diversification benefit\"<\/strong>.\r\n<br><br>\r\n\r\nThe growth curves are conceptual illustrations, not actual investment performance. Real outcomes depend on asset returns, changing correlations, allocation weights, trading costs, and other risks. Low correlation does not guarantee a profit.\r\n<br><br>\r\n\r\n\r\n<h3><strong>1+1&gt;2 does not guarantee higher profits<\/strong><\/h3>\r\n\r\nHere, 1+1&gt;2 does not mean that investing in two assets doubles your return.\r\n<br><br>\r\n\r\nThe real objective is:\r\n<br><br>\r\n\r\n<strong>Lower portfolio volatility while targeting a similar expected return.<\/strong>\r\n<br><br>\r\n\r\nThis may improve a portfolio's<strong>\"risk-adjusted return\"<\/strong>, which considers how much risk is taken to earn a given return.\r\n<br><br>\r\n\r\nFor long-term investors, volatility and maximum drawdown deserve attention alongside cumulative returns.\r\n<br><br>\r\n\r\nThe challenge isn't only finding investments with long-term profit potential. It's also maintaining a suitable plan when markets become turbulent.\r\n<br><br>\r\n\r\n\r\n<h2><strong>Low-correlation assets alongside broad-market ETFs<\/strong><\/h2>\r\n\r\nSuppose you have built a portfolio around a broad-market ETF.\r\n<br><br>\r\n\r\nYou believe in the long-term case for equities and accept ordinary market fluctuations.\r\n<br><br>\r\n\r\nAdding a low-correlation strategy might then be less about increasing returns and more about reducing the portfolio's complete dependence on equity-market performance.\r\n<br><br>\r\n\r\nConsider three approaches to compare.\r\n<br><br>\r\n\r\n\r\n<h3><strong>Allocation A: 100% broad-market ETF<\/strong><\/h3>\r\n\r\nThe advantages are simplicity, transparency, and typically lower costs, along with full exposure to the performance of the tracked equity market.\r\n<br><br>\r\n\r\nThe drawback is that the portfolio is dominated by equity-market risk. A major correction could cause a corresponding drawdown.\r\n<br><br>\r\n\r\n\r\n<h3><strong>Allocation B: broad-market ETF + bonds<\/strong><\/h3>\r\n\r\nThis adds another asset class alongside equities.\r\n<br><br>\r\n\r\nHigher-quality bonds may generate interest income and improve volatility in some circumstances, but they still carry interest-rate and credit risks, including the possibility that bonds and stocks fall together.\r\n<br><br>\r\n\r\n\r\n<h3><strong>Allocation C: broad-market ETF + low-correlation quantitative strategy<\/strong><\/h3>\r\n\r\nThis approach seeks another return driver through trading strategies that are less closely linked to the equity market.\r\n<br><br>\r\n\r\nIf correlation stays relatively low and the strategy itself has reasonable risk-return characteristics, the combination may further improve portfolio efficiency.\r\n<br><br>\r\n\r\nQuantitative strategies can nevertheless lose principal and face model failure, liquidity problems, leverage, and execution risk. Historically low correlation is no guarantee of protection during severe market stress.\r\n<br><br>\r\n\r\nNone of the three allocations is universally superior, and investors do not necessarily have to choose just one of stocks, bonds, and quantitative strategies.\r\n<br><br>\r\n\r\nA combination of all three may also deserve consideration.\r\n<br>\r\n\r\n<img loading=\"lazy\" class=\"alignnone wp-image-74355\" src=\"https:\/\/mister.forex\/wp-content\/uploads\/2026\/10\/Max-Drawdown.webp\" alt=\"Hypothetical maximum-drawdown comparison: 100% broad-market ETF at \u221232%, ETF plus bonds at \u221224%, and ETF plus a low-correlation strategy at \u221218%.\" width=\"800\" height=\"397\">\r\n<br>\r\n\r\nThe chart compares hypothetical maximum drawdowns for three allocations: A (100% broad-market ETF) at \u221232%, B (ETF + bonds) at \u221224%, and C (ETF + low-correlation strategy) at \u221218%.\r\n<br><br>\r\n\r\nThese hypothetical figures illustrate how different return drivers might soften a portfolio's losses; they are not actual performance results. Real-world effects require verification using historical data.\r\n<br><br>\r\n\r\n\r\n<h3><strong>How severe have SPY and QQQ's historical maximum drawdowns been?<\/strong><\/h3>\r\n\r\nThe previous comparisons of A, B, and C were theoretical illustrations.\r\n<br><br>\r\n\r\nIn real markets, however, even equity ETFs diversified across hundreds of companies have experienced declines far greater than many investors expect.\r\n<br><br>\r\n\r\n<strong>Maximum drawdown (MDD)<\/strong>is the largest peak-to-trough percentage decline of an asset over a specified observation period.\r\n<br><br>\r\n\r\nBesides the depth of a decline, investors should ask: How long did it take to fall from peak to trough? And how long did it take to regain the previous high?\r\n<br><br>\r\n\r\nRepresentative historical episodes involving SPY and QQQ offer a more concrete perspective.\r\n<br><br>\r\n\r\n<div>\r\n<table style=\"width: 100%;min-width: 800px;border-collapse: separate;border-spacing: 0;border: 1px solid #2D4273;border-radius: 6px;text-align: center;font-family: 'Inter', sans-serif;overflow: hidden\">\r\n<thead>\r\n<tr style=\"background-color: #15264D;color: #ffffff\">\r\n<th style=\"padding: 10px 8px;text-align: center;vertical-align: middle;line-height: 1.35;border-right: 1px solid #ffffff;border-bottom: 1px solid #2D4273\"><strong>ETF \/ event<\/strong><\/th>\r\n<th style=\"padding: 10px 8px;text-align: center;vertical-align: middle;line-height: 1.35;border-right: 1px solid #ffffff;border-bottom: 1px solid #2D4273\"><strong>Max. drawdown<\/strong><\/th>\r\n<th style=\"padding: 10px 8px;text-align: center;vertical-align: middle;line-height: 1.35;border-right: 1px solid #ffffff;border-bottom: 1px solid #2D4273\"><strong>Peak \u2192 trough<\/strong><\/th>\r\n<th style=\"padding: 10px 8px;text-align: center;vertical-align: middle;line-height: 1.35;border-right: 1px solid #ffffff;border-bottom: 1px solid #2D4273\"><strong>Trough \u2192 recovery<\/strong><\/th>\r\n<th style=\"padding: 10px 8px;text-align: center;vertical-align: middle;line-height: 1.35;border-bottom: 1px solid #2D4273\"><strong>Peak \u2192 full recovery<\/strong><\/th>\r\n<\/tr>\r\n<\/thead>\r\n<tbody>\r\n<tr style=\"background-color: #F5F8FC\">\r\n<td style=\"padding: 10px 8px;text-align: center;vertical-align: middle;line-height: 1.35;border-right: 1px solid #2D4273;border-bottom: 1px solid #2D4273\"><strong>SPY \u00b7 2008 financial crisis<\/strong><\/td>\r\n<td style=\"padding: 10px 8px;text-align: center;vertical-align: middle;line-height: 1.35;border-right: 1px solid #2D4273;border-bottom: 1px solid #2D4273\"><strong>\u221255.2%<\/strong><\/td>\r\n<td style=\"padding: 10px 8px;text-align: center;vertical-align: middle;line-height: 1.35;border-right: 1px solid #2D4273;border-bottom: 1px solid #2D4273\">\u224817 mo<\/td>\r\n<td style=\"padding: 10px 8px;text-align: center;vertical-align: middle;line-height: 1.35;border-right: 1px solid #2D4273;border-bottom: 1px solid #2D4273\">\u224841 mo<\/td>\r\n<td style=\"padding: 10px 8px;text-align: center;vertical-align: middle;line-height: 1.35;border-bottom: 1px solid #2D4273\">\u22484 yr 10 mo<\/td>\r\n<\/tr>\r\n<tr style=\"background-color: #FFFFFF\">\r\n<td style=\"padding: 10px 8px;text-align: center;vertical-align: middle;line-height: 1.35;border-right: 1px solid #2D4273;border-bottom: 1px solid #2D4273\"><strong>SPY \u00b7 2020 pandemic crash<\/strong><\/td>\r\n<td style=\"padding: 10px 8px;text-align: center;vertical-align: middle;line-height: 1.35;border-right: 1px solid #2D4273;border-bottom: 1px solid #2D4273\">\u221233.7%<\/td>\r\n<td style=\"padding: 10px 8px;text-align: center;vertical-align: middle;line-height: 1.35;border-right: 1px solid #2D4273;border-bottom: 1px solid #2D4273\">\u22481 mo<\/td>\r\n<td style=\"padding: 10px 8px;text-align: center;vertical-align: middle;line-height: 1.35;border-right: 1px solid #2D4273;border-bottom: 1px solid #2D4273\">\u22485 mo<\/td>\r\n<td style=\"padding: 10px 8px;text-align: center;vertical-align: middle;line-height: 1.35;border-bottom: 1px solid #2D4273\">\u22486 mo<\/td>\r\n<\/tr>\r\n<tr style=\"background-color: #F5F8FC\">\r\n<td style=\"padding: 10px 8px;text-align: center;vertical-align: middle;line-height: 1.35;border-right: 1px solid #2D4273;border-bottom: 1px solid #2D4273\"><strong>SPY \u00b7 2022 rate-hike bear market<\/strong><\/td>\r\n<td style=\"padding: 10px 8px;text-align: center;vertical-align: middle;line-height: 1.35;border-right: 1px solid #2D4273;border-bottom: 1px solid #2D4273\">\u221224.5%<\/td>\r\n<td style=\"padding: 10px 8px;text-align: center;vertical-align: middle;line-height: 1.35;border-right: 1px solid #2D4273;border-bottom: 1px solid #2D4273\">\u22489 mo<\/td>\r\n<td style=\"padding: 10px 8px;text-align: center;vertical-align: middle;line-height: 1.35;border-right: 1px solid #2D4273;border-bottom: 1px solid #2D4273\">\u224814 mo<\/td>\r\n<td style=\"padding: 10px 8px;text-align: center;vertical-align: middle;line-height: 1.35;border-bottom: 1px solid #2D4273\">\u22481 yr 11 mo<\/td>\r\n<\/tr>\r\n<tr style=\"background-color: #FFFFFF\">\r\n<td style=\"padding: 10px 8px;text-align: center;vertical-align: middle;line-height: 1.35;border-right: 1px solid #2D4273\"><strong>QQQ \u00b7 2000 tech bubble<\/strong><\/td>\r\n<td style=\"padding: 10px 8px;text-align: center;vertical-align: middle;line-height: 1.35;border-right: 1px solid #2D4273\"><strong>\u221283.0%<\/strong><\/td>\r\n<td style=\"padding: 10px 8px;text-align: center;vertical-align: middle;line-height: 1.35;border-right: 1px solid #2D4273\">\u22482 yr 6 mo<\/td>\r\n<td style=\"padding: 10px 8px;text-align: center;vertical-align: middle;line-height: 1.35;border-right: 1px solid #2D4273\">\u224812 yr 4 mo<\/td>\r\n<td style=\"padding: 10px 8px;text-align: center;vertical-align: middle;line-height: 1.35\">\u224814 yr 11 mo<\/td>\r\n<\/tr>\r\n<\/tbody>\r\n<\/table>\r\n<\/div>\r\n<br>\r\n\r\n<strong>Historical data sources:<\/strong>\r\n<br><br>\r\n\r\n<ul>\r\n  <li>\r\n    <a href=\"https:\/\/tideline.jbpscapital.com\/market-data\/sp500-bear-markets\" target=\"_blank\" rel=\"noopener noreferrer\">Tideline | S&amp;P 500 Bear Markets and Corrections<\/a>: historical SPY peaks, troughs, drawdowns, and recovery dates.\r\n  <\/li>\r\n  <li>\r\n    <a href=\"https:\/\/assetsanalyzer.com\/etf\/SPY\/performance\" target=\"_blank\" rel=\"noopener noreferrer\">AssetsAnalyzer | SPY Drawdown Analysis<\/a>: additional reference for SPY's historical drawdowns.\r\n  <\/li>\r\n  <li>\r\n    <a href=\"https:\/\/fasttrack.net\/tools\/maximum-drawdown\/QQQ\" target=\"_blank\" rel=\"noopener noreferrer\">Investors FastTrack | QQQ Maximum Drawdown &amp; Recovery<\/a>: QQQ's maximum drawdown and recovery dates following the technology bubble.\r\n  <\/li>\r\n<\/ul>\r\n<br>\r\n\r\n<strong>Notes on the data:<\/strong>These historical figures use adjusted total returns based on daily closing prices with dividends reinvested; month counts are approximate. The periods shown run from peak to recovery for specified market episodes, not the ETFs' average recovery times. The SPY data source is updated through September 30, 2026, and the QQQ source through October 2026. Price-only returns and dividend-reinvested total returns can yield different drawdowns and recovery dates.\r\n<br><br>\r\n\r\nAs the table shows, SPY lost approximately 55.2% during the 2008 financial crisis, and it took nearly five years to recover fully from its pre-crisis peak.\r\n<br><br>\r\n\r\nQQQ's drawdown after the 2000 technology bubble burst reached approximately 83%, and recovering its previous high took close to fifteen years.\r\n<br><br>\r\n\r\nBy contrast, SPY returned to its previous high roughly six months after the 2020 pandemic crash.\r\n<br><br>\r\n\r\n<strong>Maximum drawdown shows how deep the fall was; recovery time shows how long investors waited.<\/strong>\r\n<br><br>\r\n\r\nFor long-term investors, the hardest situations may involve more than emotional strain.\r\n<br><br>\r\n\r\nSuppose you're 40 years old and invest US$500 every month in a broad-market ETF.\r\n<br><br>\r\n\r\nYou understand dollar-cost averaging and are willing to keep investing through market declines.\r\n<br><br>\r\n\r\nBut if a recession brings both falling stock prices and layoffs, you might suddenly lose your employment income.\r\n<br><br>\r\n\r\nMortgage payments, living expenses, and your children's education costs do not stop.\r\n<br><br>\r\n\r\nWithout an adequate emergency fund, you might have to sell ETF shares at a loss to cover essential expenses.\r\n<br><br>\r\n\r\n<strong>Knowing to stay invested is one thing. Having the cash flow to do it is another.<\/strong>\r\n<br><br>\r\n\r\nRetirees face a related challenge: making regular withdrawals during a market downturn can leave less invested to participate in a later recovery.\r\n<br><br>\r\n\r\nManaging deep drawdowns and cash-flow risk therefore matters alongside estimating investment returns, because it can make a long-term plan more sustainable.\r\n<br><br>\r\n\r\nThat's why maximum drawdown belongs in any serious asset-allocation assessment.\r\n<br><br>\r\n\r\nThe right allocation depends on your goals, risk tolerance, investment horizon, and the role each asset plays in the wider portfolio.\r\n<br><br>\r\n\r\n\r\n<h2><strong>Quantitative strategies in an ETF portfolio<\/strong><\/h2>\r\n\r\nIf you already own broad-market ETFs, your next investment to investigate need not be another equity ETF.\r\n<br><br>\r\n\r\nSometimes the more useful question is:\r\n<br><br>\r\n\r\n<strong>\"Do I need a source of return that doesn't depend on a rising stock market?\"<\/strong>\r\n<br><br>\r\n\r\nThat's a different portfolio-construction perspective Mr.Forex hopes to introduce through quantitative trading strategies.\r\n<br><br>\r\n\r\n\r\n<h3><strong>A return source that need not follow the market<\/strong><\/h3>\r\n\r\nMr.Forex's quantitative strategies aim to provide return drivers distinct from those of traditional equities.\r\n<br><br>\r\n\r\nOne metric worth reviewing is the historical return correlation between the strategy and the broad market.\r\n<br><br>\r\n\r\nIf returns are measured over the same period and at the same frequency, a calculated coefficient close to 0 indicates little evident linear co-movement between the strategy and equity-market returns during that observation window.\r\n<br><br>\r\n\r\nSuch strategies may therefore have portfolio characteristics that differ from conventional equity ETFs.\r\n<br><br>\r\n\r\nHistorical correlation can change with market conditions, however. A previously weak relationship with equity returns does not ensure the same relationship will continue.\r\n<br><br>\r\n\r\n\r\n<h3><strong>Not replacing ETFs: exploring how investments can complement one another<\/strong><\/h3>\r\n\r\nWe do not believe every investor should abandon broad-market ETFs in favor of quantitative trading.\r\n<br><br>\r\n\r\nETFs can remain core long-term holdings while quantitative strategies are evaluated as potential additional return sources.\r\n<br><br>\r\n\r\nThe key comparison is not simply how much money a quantitative strategy made on its own, but:\r\n<br><br>\r\n\r\n<strong>What happens to your overall risk-and-return profile when that strategy is added to your existing ETF portfolio?<\/strong>\r\n<br><br>\r\n\r\nFor example:\r\n\r\n<ol>\r\n  <li>Has the original portfolio's volatility decreased?<\/li>\r\n  <li>Has its maximum drawdown improved?<\/li>\r\n  <li>Have risk-adjusted returns improved?<\/li>\r\n  <li>Do those improvements still hold after trading costs?<\/li>\r\n<\/ol>\r\n<br>\r\n\r\nThese are the questions asset allocation should address.\r\n<br><br>\r\n\r\n\r\n<h3><strong>What data should you check before investing?<\/strong><\/h3>\r\n\r\nWhen evaluating Mr.Forex or any quantitative trading strategy, we recommend looking beyond cumulative returns.\r\n<br><br>\r\n\r\nConsider these measures together:\r\n<br><br>\r\n\r\n<ul>\r\n  <li>\r\n    <strong>Correlation with the broad market:<\/strong>\r\n    How closely the strategy's historical returns have moved with equity-market returns, and whether that relationship has remained stable under different conditions.\r\n  <\/li>\r\n  <li>\r\n    <strong>Maximum drawdown percentage:<\/strong>\r\n    The deepest historical decline from a portfolio's net-asset-value peak to a subsequent trough.\r\n  <\/li>\r\n  <li>\r\n    <strong>Drawdown recovery time:<\/strong>\r\n    How long the strategy took to recover from a historical trough to its prior peak, including any drawdowns that have not yet recovered.\r\n  <\/li>\r\n  <li>\r\n    <strong>Risk-adjusted return:<\/strong>\r\n    How much return was achieved relative to the level of risk taken.\r\n  <\/li>\r\n  <li>\r\n    <strong>Performance history and data quality:<\/strong>\r\n    Whether the strategy has experienced different market conditions, and whether reported results come from live trading or backtesting.\r\n  <\/li>\r\n  <li>\r\n    <strong>Trading terms and costs:<\/strong>\r\n    Whether leverage, liquidity, transaction costs, and copy-trading execution differences are consistent with your risk tolerance.\r\n  <\/li>\r\n<\/ul>\r\n<br>\r\n\r\nMr.Forex focuses not on maximizing returns at any cost, but on seeking reasonable returns while working to manage drawdowns and the pressures investors may face along the way.\r\n<br><br>\r\n\r\n<strong>Focus on risk control, not getting rich overnight.<\/strong>\r\n<br><br>\r\n\r\nIf you're considering whether a low-correlation quantitative strategy belongs in your portfolio, start by reviewing the performance and risk information Mr.Forex makes available before deciding whether to invest.\r\n<br><br>\r\n\r\n\r\n<h2><strong>Part Seven: Frequently asked questions (FAQ)<\/strong><\/h2>\r\n\r\n\r\n<h3><strong>Q1: Isn't a broad-market ETF already well diversified?<\/strong><\/h3>\r\n\r\nBroad-market ETFs can effectively diversify single-company risk, but they remain exposed to the performance of the overall equity market.\r\n<br><br>\r\n\r\nIf you want to reduce dependence on equities further, you could research bonds or other low-correlation assets and assess whether they improve your portfolio's risk profile.\r\n<br><br>\r\n\r\n\r\n<h3><strong>Q2: Why can holdings overlap even if I own several ETFs?<\/strong><\/h3>\r\n\r\nDifferent ETFs may include the same companies because their tracked indexes or stock-selection methods overlap.\r\n<br><br>\r\n\r\nFor example, an S&amp;P 500 ETF, a Nasdaq 100 ETF, and a large-cap growth ETF may all hold some of the same major technology firms.\r\n<br><br>\r\n\r\nLook beyond the number of ETFs and examine underlying holdings, portfolio weights, and overall equity-market exposure.\r\n<br><br>\r\n\r\n\r\n<h3><strong>Q3: What is a zero-correlation investment?<\/strong><\/h3>\r\n\r\nZero correlation means the historical return correlation coefficient between two assets is close to 0, indicating little clear linear relationship.\r\n<br><br>\r\n\r\nIt does not imply that the assets are completely independent or free of loss risk.\r\n<br><br>\r\n\r\n\r\n<h3><strong>Q4: Is zero correlation better than negative correlation?<\/strong><\/h3>\r\n\r\nNot necessarily.\r\n<br><br>\r\n\r\nNegatively correlated assets may offset some market movements more directly, but the relationship is not always stable.\r\n<br><br>\r\n\r\nZero-correlation assets may instead provide different sources of return.\r\n<br><br>\r\n\r\nBoth should be assessed alongside expected returns, volatility, costs, and risks in extreme markets.\r\n<br><br>\r\n\r\n\r\n<h3><strong>Q5: Does quantitative trading always have zero correlation with stocks?<\/strong><\/h3>\r\n\r\nNo.\r\n<br><br>\r\n\r\nQuantitative trading simply uses rules, statistical models, or programmatic methods to execute trades.\r\n<br><br>\r\n\r\nDifferent strategies can be positively, negatively, or weakly correlated with equities; their actual performance data must be used to calculate that relationship.\r\n<br><br>\r\n\r\n\r\n<h3><strong>Q6: Does adding a low-correlation strategy always reduce ETF portfolio risk?<\/strong><\/h3>\r\n\r\nNo.\r\n<br><br>\r\n\r\nThe outcome depends on the strategy's volatility, its correlation with the ETF, allocation size, and market conditions.\r\n<br><br>\r\n\r\nA high-risk strategy can increase total portfolio risk even if its correlation is close to zero.\r\n<br><br>\r\n\r\nLower volatility in typical market conditions also does not guarantee protection against losses during extreme events.\r\n<br><br>\r\n\r\n\r\n<h3><strong>Q7: Why do an ETF's maximum drawdown and recovery time matter?<\/strong><\/h3>\r\n\r\nMaximum drawdown shows how far an investment historically fell from a peak, while recovery time shows how long it took to regain that previous peak.\r\n<br><br>\r\n\r\nFor example, SPY experienced a maximum drawdown of approximately 55.2% during the 2008 financial crisis and took nearly five years to recover fully from its prior high.\r\n<br><br>\r\n\r\nEven when long-term investing offers growth potential, investors need to judge whether they can withstand the losses and waiting periods along the way.\r\n<br><br>\r\n\r\n\r\n<h3><strong>Q8: Does quantitative copy trading complement ETFs?<\/strong><\/h3>\r\n\r\nThat depends on your financial situation, risk tolerance, and investment objectives.\r\n<br><br>\r\n\r\nQuantitative trading may offer another return source, but copy trading also entails potential capital loss, execution differences, and strategy failure. Review the relevant terms first.\r\n<br><br>\r\n\r\nWhat matters isn't merely whether you already own ETFs, but whether the new strategy could reasonably complement the portfolio as a whole.\r\n<br><br>\r\n\r\n\r\n<h2><strong>Conclusion: Different return sources, not more ETFs<\/strong><\/h2>\r\n\r\nBroad-market ETFs remain a reasonable foundation for many investors building long-term wealth.\r\n<br><br>\r\n\r\nBut owning stocks across different companies and building a genuinely diversified portfolio are two distinct objectives.\r\n<br><br>\r\n\r\nThe former diversifies risk within equities; the latter asks how to reduce total wealth's dependence on common sources of risk.\r\n<br><br>\r\n\r\nSPY and QQQ's historical drawdowns are a reminder that even widely diversified equity ETFs can suffer deep losses and long recovery periods during market crises.\r\n<br><br>\r\n\r\nLong-term investors should consider not only an asset's potential to grow, but also whether they can tolerate the risks involved in pursuing those returns.\r\n<br><br>\r\n\r\nStocks, bonds, and low-correlation quantitative strategies can serve different purposes.\r\n<br><br>\r\n\r\nThey need not replace one another; the question is whether they could complement each other in the overall portfolio.\r\n<br><br>\r\n\r\n<strong>Good allocation isn&apos;t about the highest-returning asset; it&apos;s about a mix that fits your goals and risk tolerance.<\/strong>\r\n<br><br>\r\n\r\nIf you already own a broad-market ETF, it may be worth learning about a return source that doesn't always follow the market.\r\n<br><br>\r\n\r\n\r\n<h3><strong>Explore another source of returns beyond ETFs<\/strong><\/h3>\r\n\r\nReview the historical performance of Mr.Forex's quantitative strategies, their correlation with equities, maximum drawdowns, recovery times, and other risk measures to consider whether they might complement your existing ETF portfolio.\r\n<br><br>\r\n\r\n<hr><br>\r\n\r\n<strong>Risk disclosure:<\/strong>\r\nThis article is for financial education and general information only. It is not personalized investment advice or a guarantee of profit. The A, B, and C allocations and other simulated figures are purely illustrative and do not represent actual strategy performance; the historical SPY and QQQ data refer to specified publicly documented market episodes. <br><br>Past performance, correlations, maximum drawdowns, and recovery times do not predict future results. Stocks, bonds, quantitative trading, and copy trading may all result in loss of principal. <br><br>Certain strategies carry additional risks, including leverage, liquidity constraints, model failure, and differences in trade execution. Understand each strategy, its trading terms, and all relevant costs before investing.<\/span><\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>","protected":false},"excerpt":{"rendered":"<p>Already own a broad-market ETF? Explore overlapping ETF holdings, SPY and QQQ drawdowns, and how low-correlation assets may help manage portfolio risk.<\/p>","protected":false},"author":1,"featured_media":74485,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"tags":[128],"class_list":["post-74343","page","type-page","status-publish","has-post-thumbnail","hentry","tag-no-google"],"_links":{"self":[{"href":"https:\/\/mister.forex\/en\/wp-json\/wp\/v2\/pages\/74343","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/mister.forex\/en\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/mister.forex\/en\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/mister.forex\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/mister.forex\/en\/wp-json\/wp\/v2\/comments?post=74343"}],"version-history":[{"count":40,"href":"https:\/\/mister.forex\/en\/wp-json\/wp\/v2\/pages\/74343\/revisions"}],"predecessor-version":[{"id":74563,"href":"https:\/\/mister.forex\/en\/wp-json\/wp\/v2\/pages\/74343\/revisions\/74563"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/mister.forex\/en\/wp-json\/wp\/v2\/media\/74485"}],"wp:attachment":[{"href":"https:\/\/mister.forex\/en\/wp-json\/wp\/v2\/media?parent=74343"}],"wp:term":[{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/mister.forex\/en\/wp-json\/wp\/v2\/tags?post=74343"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}