{"id":2690,"date":"2023-05-01T09:26:32","date_gmt":"2023-05-01T13:26:32","guid":{"rendered":"https:\/\/ifintechworld.com\/news\/drift-report-on-spxs-and-21-leveraged-etfs-nysearcaspxs\/"},"modified":"2023-05-01T09:26:33","modified_gmt":"2023-05-01T13:26:33","slug":"drift-report-on-spxs-and-21-leveraged-etfs-nysearcaspxs","status":"publish","type":"post","link":"https:\/\/ifintechworld.com\/?p=2690","title":{"rendered":"Drift Report On SPXS And 21 Leveraged ETFs (NYSEARCA:SPXS)"},"content":{"rendered":"<div data-test-id=\"content-container\">\n<p><figure class=\"getty-figure\" data-type=\"getty-image\"><picture>  <\/picture><figcaption> <\/figcaption><\/figure>\n<\/p>\n<p>Direxion Daily S&amp;P 500\u00ae Bear 3X Shares ETF (<span class=\"ticker-hover-wrapper\">NYSEARCA:SPXS<\/span>) is one of the most popular instruments to short the broad market for trading or hedging purposes. However, its daily -3X leverage factor is a source of drift. It must be closely<span class=\"paywall-full-content invisible\"> monitored to detect changes in the drift regime. This article explains what &#8220;drift&#8221; means, quantifies it in more than 20 leveraged exchange-traded funds, or ETFs, shows historical data, and finally concludes about the current market conditions. The analysis is also valid for the Direxion Daily S&amp;P 500\u00ae Bear 3X Shares ETF (<\/span>SPXU<span class=\"paywall-full-content invisible\">), which tracks the same index with the same factor and has an almost identical behavior.<\/span><\/p>\n<h2 class=\"paywall-full-content invisible\"><strong>The reason why leveraged ETFs drift<\/strong><\/h2>\n<p class=\"paywall-full-content invisible\">Leveraged ETFs often underperform their underlying index leveraged by the same factor. The decay has essentially four reasons: beta-slippage, roll yield, tracking errors, and management costs. Beta-slippage is the main<span class=\"paywall-full-content invisible no-summary-bullets\"> reason in equity leveraged ETFs. To understand what is beta-slippage, imagine a very volatile asset that goes up 25% one day and down 20% the day after. A perfect double-leveraged ETF goes up 50% the first day and down 40% the second day. On the close of the second day, the underlying asset is back to its initial price:<\/span><\/p>\n<p class=\"paywall-full-content invisible no-summary-bullets\">(1 + 0.25) x (1 &#8211; 0.2) = 1<\/p>\n<p class=\"paywall-full-content invisible no-summary-bullets\">And the perfect leveraged ETF?<\/p>\n<p class=\"paywall-full-content invisible no-summary-bullets\">(1 + 0.5) x (1 &#8211; 0.4) = 0.9<\/p>\n<p class=\"paywall-full-content invisible no-summary-bullets\">Nothing has changed for the underlying asset, and the ETF price is down 10%. It is not a scam, just the normal behavior of a leveraged and rebalanced portfolio. A good news: in a trending market, beta-slippage can be positive. If the underlying index goes up 10% two days in a row, on the second day, it is up 21%:<\/p>\n<p class=\"paywall-full-content invisible no-summary-bullets\">(1 + 0.1) * (1 + 0.1) = 1.21<\/p>\n<p class=\"paywall-full-content invisible no-summary-bullets\">The perfect 2x leveraged ETFs is up 44%:<\/p>\n<p class=\"paywall-full-content invisible no-summary-bullets\">(1 + 0.2) * (1 + 0.2) = 1.44<\/p>\n<p class=\"paywall-full-content invisible no-summary-bullets\">Beta-slippage is path-dependent. If the underlying index gains 50% on day 1 and loses 33.33% on day 2, it is back to its initial value, like in the first example. However, the 2x ETF loses one third of its value, instead of 10% in the first case:<\/p>\n<p class=\"paywall-full-content invisible no-summary-bullets\">(1 + 1) x (1 &#8211; 0.6667) = 0.6667<\/p>\n<p class=\"paywall-full-content invisible no-summary-bullets\">Without a demonstration, it shows that the higher the volatility, the higher the decay. Hence, its name: &#8220;beta&#8221; is a statistical measure of volatility. However, it is a bit misleading because the decay cannot be calculated from beta.<\/p>\n<h2 class=\"paywall-full-content invisible no-summary-bullets\"><strong>Monthly and yearly drift watchlist<\/strong><\/h2>\n<p class=\"paywall-full-content invisible no-summary-bullets\">There is no standard or universal definition of leveraged ETF drift. Mine is simple and based on the difference between the leveraged ETF performance and \u00d1 times the performance of the underlying index on a given time interval, if \u00d1 is the leveraging factor. Most of the time, this factor defines a daily objective relative to an underlying index. However, some dividend-oriented leveraged products have been defined with a monthly objective (mostly defunct ETNs sponsored by Credit Suisse Group (CS) and UBS: CEFL, BDCL, SDYL, MLPQ, MORL\u2026).<\/p>\n<p class=\"paywall-full-content invisible no-summary-bullets\">First, let\u2019s start by defining \u201cReturn\u201d: it is the return of a leveraged ETF in a given time interval, including dividends. \u201cIndexReturn\u201d is the return of a non-leveraged ETF on the same underlying asset in the same time interval, including dividends. \u201cAbs\u201d is the absolute value operator. My \u201cDrift\u201d is the drift of a leveraged ETF normalized to the underlying index exposure in a time interval. It is calculated as follows:<\/p>\n<p class=\"paywall-full-content invisible no-summary-bullets\">Drift = (Return &#8211; (IndexReturn x \u00d1))\/ Abs(\u00d1)<\/p>\n<p class=\"paywall-full-content invisible no-summary-bullets\">\u201cDecay\u201d means negative drift. \u201cMonth\u201d stands for 21 trading days, \u201cyear\u201d for 252 trading days.<\/p>\n<p> <span class=\"table-responsive paywall-full-content invisible no-summary-bullets\"><span class=\"table-scroll-wrapper\"><span data-intersection-boundary=\"start\"><\/span><\/p>\n<table>\n<tr>\n<td>\n<p>Index<\/p>\n<\/td>\n<td>\n<p>\u00d1<\/p>\n<\/td>\n<td>\n<p>Ticker<\/p>\n<\/td>\n<td>\n<p>1-month Return<\/p>\n<\/td>\n<td>\n<p>1-month Drift<\/p>\n<\/td>\n<td>\n<p>1-year Return<\/p>\n<\/td>\n<td>\n<p>1-year Drift<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td>\n<p>S&amp;P 500<\/p>\n<\/td>\n<td>\n<p>1<\/p>\n<\/td>\n<td>\n<p>SPY<\/p>\n<\/td>\n<td>\n<p>3.63%<\/p>\n<\/td>\n<td>\n<p>0.00%<\/p>\n<\/td>\n<td>\n<p>1.37%<\/p>\n<\/td>\n<td>\n<p>0.00%<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td> <\/td>\n<td>\n<p>2<\/p>\n<\/td>\n<td>\n<p>SSO<\/p>\n<\/td>\n<td>\n<p>6.60%<\/p>\n<\/td>\n<td>\n<p>-0.33%<\/p>\n<\/td>\n<td>\n<p>-7.22%<\/p>\n<\/td>\n<td>\n<p>-4.98%<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td> <\/td>\n<td>\n<p>-2<\/p>\n<\/td>\n<td>\n<p>SDS<\/p>\n<\/td>\n<td>\n<p>-6.12%<\/p>\n<\/td>\n<td>\n<p>0.57%<\/p>\n<\/td>\n<td>\n<p>-9.53%<\/p>\n<\/td>\n<td>\n<p>-3.40%<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td> <\/td>\n<td>\n<p>3<\/p>\n<\/td>\n<td>\n<p>UPRO<\/p>\n<\/td>\n<td>\n<p>9.78%<\/p>\n<\/td>\n<td>\n<p>-0.37%<\/p>\n<\/td>\n<td>\n<p>-18.84%<\/p>\n<\/td>\n<td>\n<p>-7.65%<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td> <\/td>\n<td>\n<p>-3<\/p>\n<\/td>\n<td>\n<p>SPXS<\/p>\n<\/td>\n<td>\n<p>-9.43%<\/p>\n<\/td>\n<td>\n<p>0.49%<\/p>\n<\/td>\n<td>\n<p>-21.26%<\/p>\n<\/td>\n<td>\n<p>-5.72%<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td>\n<p>ICE US20+ Tbond<\/p>\n<\/td>\n<td>\n<p>1<\/p>\n<\/td>\n<td>\n<p>TLT<\/p>\n<\/td>\n<td>\n<p>2.31%<\/p>\n<\/td>\n<td>\n<p>0.00%<\/p>\n<\/td>\n<td>\n<p>-9.53%<\/p>\n<\/td>\n<td>\n<p>0.00%<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td> <\/td>\n<td>\n<p>3<\/p>\n<\/td>\n<td>\n<p>TMF<\/p>\n<\/td>\n<td>\n<p>5.36%<\/p>\n<\/td>\n<td>\n<p>-0.52%<\/p>\n<\/td>\n<td>\n<p>-39.67%<\/p>\n<\/td>\n<td>\n<p>-3.69%<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td> <\/td>\n<td>\n<p>-3<\/p>\n<\/td>\n<td>\n<p>TMV<\/p>\n<\/td>\n<td>\n<p>-6.29%<\/p>\n<\/td>\n<td>\n<p>0.21%<\/p>\n<\/td>\n<td>\n<p>16.95%<\/p>\n<\/td>\n<td>\n<p>-3.88%<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td>\n<p>NASDAQ 100<\/p>\n<\/td>\n<td>\n<p>1<\/p>\n<\/td>\n<td>\n<p>QQQ<\/p>\n<\/td>\n<td>\n<p>3.15%<\/p>\n<\/td>\n<td>\n<p>0.00%<\/p>\n<\/td>\n<td>\n<p>2.61%<\/p>\n<\/td>\n<td>\n<p>0.00%<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td> <\/td>\n<td>\n<p>3<\/p>\n<\/td>\n<td>\n<p>TQQQ<\/p>\n<\/td>\n<td>\n<p>7.70%<\/p>\n<\/td>\n<td>\n<p>-0.58%<\/p>\n<\/td>\n<td>\n<p>-24.92%<\/p>\n<\/td>\n<td>\n<p>-10.92%<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td> <\/td>\n<td>\n<p>-3<\/p>\n<\/td>\n<td>\n<p>SQQQ<\/p>\n<\/td>\n<td>\n<p>-8.82%<\/p>\n<\/td>\n<td>\n<p>0.21%<\/p>\n<\/td>\n<td>\n<p>-39.68%<\/p>\n<\/td>\n<td>\n<p>-10.62%<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td>\n<p>DJ 30<\/p>\n<\/td>\n<td>\n<p>1<\/p>\n<\/td>\n<td>\n<p>DIA<\/p>\n<\/td>\n<td>\n<p>4.32%<\/p>\n<\/td>\n<td>\n<p>0.00%<\/p>\n<\/td>\n<td>\n<p>4.50%<\/p>\n<\/td>\n<td>\n<p>0.00%<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td> <\/td>\n<td>\n<p>3<\/p>\n<\/td>\n<td>\n<p>UDOW<\/p>\n<\/td>\n<td>\n<p>12.00%<\/p>\n<\/td>\n<td>\n<p>-0.32%<\/p>\n<\/td>\n<td>\n<p>-6.05%<\/p>\n<\/td>\n<td>\n<p>-6.52%<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td> <\/td>\n<td>\n<p>-3<\/p>\n<\/td>\n<td>\n<p>SDOW<\/p>\n<\/td>\n<td>\n<p>-11.02%<\/p>\n<\/td>\n<td>\n<p>0.65%<\/p>\n<\/td>\n<td>\n<p>-20.89%<\/p>\n<\/td>\n<td>\n<p>-2.46%<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td>\n<p>Russell 2000<\/p>\n<\/td>\n<td>\n<p>1<\/p>\n<\/td>\n<td>\n<p>IWM<\/p>\n<\/td>\n<td>\n<p>-0.13%<\/p>\n<\/td>\n<td>\n<p>0.00%<\/p>\n<\/td>\n<td>\n<p>-4.77%<\/p>\n<\/td>\n<td>\n<p>0.00%<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td> <\/td>\n<td>\n<p>3<\/p>\n<\/td>\n<td>\n<p>TNA<\/p>\n<\/td>\n<td>\n<p>-2.22%<\/p>\n<\/td>\n<td>\n<p>-0.61%<\/p>\n<\/td>\n<td>\n<p>-35.69%<\/p>\n<\/td>\n<td>\n<p>-7.13%<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td> <\/td>\n<td>\n<p>-3<\/p>\n<\/td>\n<td>\n<p>TZA<\/p>\n<\/td>\n<td>\n<p>0.55%<\/p>\n<\/td>\n<td>\n<p>0.05%<\/p>\n<\/td>\n<td>\n<p>-15.62%<\/p>\n<\/td>\n<td>\n<p>-9.98%<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td>\n<p>MSCI Emerging<\/p>\n<\/td>\n<td>\n<p>1<\/p>\n<\/td>\n<td>\n<p>EEM<\/p>\n<\/td>\n<td>\n<p>0.03%<\/p>\n<\/td>\n<td>\n<p>0.00%<\/p>\n<\/td>\n<td>\n<p>-3.76%<\/p>\n<\/td>\n<td>\n<p>0.00%<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td> <\/td>\n<td>\n<p>3<\/p>\n<\/td>\n<td>\n<p>EDC<\/p>\n<\/td>\n<td>\n<p>-1.34%<\/p>\n<\/td>\n<td>\n<p>-0.48%<\/p>\n<\/td>\n<td>\n<p>-28.33%<\/p>\n<\/td>\n<td>\n<p>-5.68%<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td> <\/td>\n<td>\n<p>-3<\/p>\n<\/td>\n<td>\n<p>EDZ<\/p>\n<\/td>\n<td>\n<p>0.16%<\/p>\n<\/td>\n<td>\n<p>0.08%<\/p>\n<\/td>\n<td>\n<p>-3.68%<\/p>\n<\/td>\n<td>\n<p>-4.99%<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td>\n<p>Gold spot<\/p>\n<\/td>\n<td>\n<p>1<\/p>\n<\/td>\n<td>\n<p>GLD<\/p>\n<\/td>\n<td>\n<p>1.24%<\/p>\n<\/td>\n<td>\n<p>0.00%<\/p>\n<\/td>\n<td>\n<p>5.01%<\/p>\n<\/td>\n<td>\n<p>0.00%<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td> <\/td>\n<td>\n<p>2<\/p>\n<\/td>\n<td>\n<p>UGL<\/p>\n<\/td>\n<td>\n<p>1.74%<\/p>\n<\/td>\n<td>\n<p>-0.37%<\/p>\n<\/td>\n<td>\n<p>2.10%<\/p>\n<\/td>\n<td>\n<p>-3.96%<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td> <\/td>\n<td>\n<p>-2<\/p>\n<\/td>\n<td>\n<p>GLL<\/p>\n<\/td>\n<td>\n<p>-1.85%<\/p>\n<\/td>\n<td>\n<p>0.32%<\/p>\n<\/td>\n<td>\n<p>-9.03%<\/p>\n<\/td>\n<td>\n<p>0.50%<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td>\n<p>Silver spot<\/p>\n<\/td>\n<td>\n<p>1<\/p>\n<\/td>\n<td>\n<p>SLV<\/p>\n<\/td>\n<td>\n<p>7.28%<\/p>\n<\/td>\n<td>\n<p>0.00%<\/p>\n<\/td>\n<td>\n<p>7.03%<\/p>\n<\/td>\n<td>\n<p>0.00%<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td> <\/td>\n<td>\n<p>2<\/p>\n<\/td>\n<td>\n<p>AGQ<\/p>\n<\/td>\n<td>\n<p>14.21%<\/p>\n<\/td>\n<td>\n<p>-0.18%<\/p>\n<\/td>\n<td>\n<p>0.42%<\/p>\n<\/td>\n<td>\n<p>-6.82%<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td> <\/td>\n<td>\n<p>-2<\/p>\n<\/td>\n<td>\n<p>ZSL<\/p>\n<\/td>\n<td>\n<p>-13.74%<\/p>\n<\/td>\n<td>\n<p>0.41%<\/p>\n<\/td>\n<td>\n<p>-30.63%<\/p>\n<\/td>\n<td>\n<p>-8.29%<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td>\n<p>S&amp;P Biotech Select<\/p>\n<\/td>\n<td>\n<p>1<\/p>\n<\/td>\n<td>\n<p>XBI<\/p>\n<\/td>\n<td>\n<p>5.08%<\/p>\n<\/td>\n<td>\n<p>0.00%<\/p>\n<\/td>\n<td>\n<p>5.64%<\/p>\n<\/td>\n<td>\n<p>0.00%<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td> <\/td>\n<td>\n<p>3<\/p>\n<\/td>\n<td>\n<p>LABU<\/p>\n<\/td>\n<td>\n<p>12.30%<\/p>\n<\/td>\n<td>\n<p>-0.98%<\/p>\n<\/td>\n<td>\n<p>-37.49%<\/p>\n<\/td>\n<td>\n<p>-18.14%<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td> <\/td>\n<td>\n<p>-3<\/p>\n<\/td>\n<td>\n<p>LABD<\/p>\n<\/td>\n<td>\n<p>-17.65%<\/p>\n<\/td>\n<td>\n<p>-0.80%<\/p>\n<\/td>\n<td>\n<p>-67.65%<\/p>\n<\/td>\n<td>\n<p>-16.91%<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td>\n<p>PHLX Semicond.<\/p>\n<\/td>\n<td>\n<p>1<\/p>\n<\/td>\n<td>\n<p>SOXX<\/p>\n<\/td>\n<td>\n<p>-5.21%<\/p>\n<\/td>\n<td>\n<p>0.00%<\/p>\n<\/td>\n<td>\n<p>5.14%<\/p>\n<\/td>\n<td>\n<p>0.00%<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td> <\/td>\n<td>\n<p>3<\/p>\n<\/td>\n<td>\n<p>SOXL<\/p>\n<\/td>\n<td>\n<p>-16.69%<\/p>\n<\/td>\n<td>\n<p>-0.35%<\/p>\n<\/td>\n<td>\n<p>-34.55%<\/p>\n<\/td>\n<td>\n<p>-16.66%<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td> <\/td>\n<td>\n<p>-3<\/p>\n<\/td>\n<td>\n<p>SOXS<\/p>\n<\/td>\n<td>\n<p>17.02%<\/p>\n<\/td>\n<td>\n<p>0.46%<\/p>\n<\/td>\n<td>\n<p>-65.39%<\/p>\n<\/td>\n<td>\n<p>-16.66%<\/p>\n<\/td>\n<\/tr>\n<\/table>\n<p> <span data-intersection-boundary=\"end\"><\/span><\/span><button class=\"table-enlarge-button\"><svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" viewbox=\"0 0 16 16\" class=\"table-enlarge-icon\"><path fill-rule=\"evenodd\" clip-rule=\"evenodd\" d=\"M16 11a5 5 0 0 1-5 5H5a5 5 0 0 1-5-5V5a5 5 0 0 1 5-5h6a5 5 0 0 1 5 5v6zm-4.5-2.5h2v-6h-6v2h4v4zm-9-1h2v4h4v2h-6v-6z\"><\/path><\/svg>Click to enlarge<\/button><\/span> <\/p>\n<h2 class=\"paywall-full-content invisible no-summary-bullets\"><strong>The best and worst drifts<\/strong><\/h2>\n<ul class=\"paywall-full-content invisible no-summary-bullets\">\n<li>The leveraged biotechnology ETFs, bull (LABU) and bear (LABD), have the largest monthly decays of this list: -0.98% and -0.80%, respectively.<\/li>\n<li>They also show the largest 12-month decays, with -18.1% and -16.9%. The leveraged semiconductors ETFs (SOXL, SOXS) are close behind, and tie at -16.66%.<\/li>\n<li>The -3x Dow Jones ETF (SDOW) has the highest positive drift in one month: +0.65%.<\/li>\n<li>The -2x gold ETF (GLL) is the only one in the list with a 12-month positive drift: +0.50%.<\/li>\n<li>SPXS has a small positive drift in one month (+0.49%), but the 12-month drift stays negative: -5.72%.<\/li>\n<\/ul>\n<p class=\"paywall-full-content invisible no-summary-bullets\">Positive drift follows a steady trend in the underlying asset, whatever the trend direction and the ETF direction. It means positive drift may come with a gain or a loss for the ETF. Negative drift happens when daily returns switch between positive and negative values (\u201cwhipsaw\u201d). All bull and bear leveraged ETFs in the list, except GLL, have negative drifts in one year, due to volatility.<\/p>\n<h2 class=\"paywall-full-content invisible no-summary-bullets\"> <strong>Focus on <\/strong><strong>SPXS history<\/strong> <\/h2>\n<p class=\"paywall-full-content invisible no-summary-bullets\">Since inception on 11\/5\/2008, SPXS has lost 99.99% of its value, through many reverse splits. However, hedging with SPXS has worked quite well in many cases in the last 12 years. For example, in the first week of the 2020 market meltdown (2\/21 to 2\/28\/2020), it has gained about 40%, significantly more than SPY&#8217;s return (-11%) multiplied by the leveraging ratio (-3). Then, I have issued a warning on 3\/10\/2020 against leveraged equity ETFs. A few weeks later, SPY had lost 17.5% and SPXS gained about 16% in the same time: less than shorting SPY without leverage. Then, the monthly drift has oscillated between positive and negative values, and the 12-month drift was negative until February 2021. It became positive again and spiked in April 2021. Last year&#8217;s bear market put it back in negative territory in April 2022. The next chart plots the 12-month drift since January 2000, using real prices from November 2008, and synthetic prices based on the underlying index before that. The historical average is negative: -3.16%.<\/p>\n<p class=\"paywall-full-content invisible no-summary-bullets\">\n<figure class=\"regular-img-figure\" contenteditable=\"false\"><picture> <img decoding=\"async\" src=\"https:\/\/ifintechworld.com\/wp-content\/uploads\/2023\/05\/2496631-16828662174913702.png\" alt=\"12-month drift of SPXS\" contenteditable=\"true\" loading=\"lazy\"> <\/picture><figcaption>\n<p class=\"item-caption\">12-month drift of SPXS, real since 11\/5\/2008 and simulated before <span>(chart: author; data: Portfolio123)<\/span><\/p>\n<\/figcaption><\/figure>\n<\/p>\n<p class=\"paywall-full-content invisible no-summary-bullets\">SPXS is an efficient hedging instrument against sharp corrections in a bull market. Moreover, the cost of hedging is quite cheap compared with other derivatives. However, it suffers a large decay when the S&amp;P 500 has alternatively positive and negative days. The VIX index (implied volatility) may be a warning, but it is not mathematically related to decay. Moreover, shorting an asset or buying an inverse ETF implies an additional decay due to inflation and magnified by the leveraging factor. Current inflation level is a serious bias against any short position and all inverse ETFs.<\/p>\n<p class=\"paywall-full-content invisible no-summary-bullets\">In conclusion, leveraged ETFs are for traders understanding the drift and the inflation bias. Most investors should stay away from them.<\/p>\n<\/div>\n<p>Read the full article <a href=\"https:\/\/seekingalpha.com\/article\/4598465-drift-report-on-spxs-and-21-leveraged-etfs?source=feed_all_articles\" target=\"_blank\" rel=\"noopener\">here<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Direxion Daily S&amp;P 500\u00ae Bear 3X Shares ETF (NYSEARCA:SPXS) is one of the most popular instruments to short the broad market for trading or hedging purposes. However, its daily -3X leverage factor is a source of drift. It must be closely monitored to detect changes in the drift regime. This article explains what &#8220;drift&#8221; means, [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":2691,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"gallery","meta":{"footnotes":""},"categories":[236],"tags":[83],"class_list":["post-2690","post","type-post","status-publish","format-gallery","has-post-thumbnail","hentry","category-news","tag-featured","post_format-post-format-gallery"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v20.6 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Drift Report On SPXS And 21 Leveraged ETFs (NYSEARCA:SPXS) | iFintechWorld<\/title>\n<meta name=\"description\" content=\"Direxion Daily S&amp;P 500\u00ae Bear 3X Shares ETF (NYSEARCA:SPXS) is one of the most popular instruments to short the broad market for trading or hedging\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link 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