{"id":33704,"date":"2026-06-05T15:57:11","date_gmt":"2026-06-05T15:57:11","guid":{"rendered":"https:\/\/assetphysics.com\/open-vs-closed-ended-funds-do-the-returns-differ\/"},"modified":"2026-06-05T15:57:11","modified_gmt":"2026-06-05T15:57:11","slug":"open-vs-closed-ended-funds-do-the-returns-differ","status":"publish","type":"post","link":"https:\/\/assetphysics.com\/de\/open-vs-closed-ended-funds-do-the-returns-differ\/","title":{"rendered":"Open- vs closed-ended funds \u2013 do the returns differ?"},"content":{"rendered":"\n\n\n\t<section class=\"snk-section snk-section_xs\" >\n\t\t<div class=\"container container-xs\">\n\n\t\t\t\t\t\t\t<h2 class=\"snk-section-headline\">By Lushan Sun and Miriam Uebel, L&#038;G<\/h2>\n\t\t\t\n\n\t\t\t\n\t\t\t\t<div class=\"row snk-textColumns\">\n\t\t\t\t\t\n\t\t\t\t\t\t<div class=\"col col-12 snk-textColumn\">\n\t\t\t\t\t\t\t<div class=\"snk-textBlock\">\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<h3>As more investors seek exposure to private markets, we examine whether the choice between open- and closed-ended funds matters for performance. <\/h3>\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<p>Demand for private market assets from an increasing number of investors has grown strongly in recent years, driven by DC pension and wealth clients.<\/p>\n<p>Historically, this investor base has been exposed to more liquid vehicles, contrasting with the closed-ended, general partnership structure traditionally used by private market managers. In response, there has been an increase in semi-liquid product launches over the last two years, including open-ended funds, business development companies (BDCs), long-term alternative funds (LTAFs), and interval funds.<\/p>\n<p>As these \u2018semi-liquid\u2019 funds proliferate, we\u2019ve heard some investors question whether better liquidity provisions may imply sacrificing returns. So, we looked at the long-term data \u2013 where it\u2019s available \u2013 and examined whether closed-ended structures have consistently offered different historical performance than open-ended counterparts*.<\/p>\n<p>We focused our analysis on two areas \u2013 US and European real estate, and US direct lending, with our data sources for both outlined in the table below.<\/p>\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\n\t\t\t\t\t\t\n\t\t\t\t<\/div>\n\n\t\t\t\t\t\t\t\t\t<\/div>\n\t<\/section>\n\n\n\n\t<section class=\"snk-section snk-section_noPadding\">\n\t\t<div class=\"container container-xs\">\n\t\t\t<div class=\"snk-media snk-media_image\">\n\n\t\t\t\t\t\t\t\t\t<img decoding=\"async\" data-src=\"https:\/\/assetphysics.com\/wp-content\/uploads\/2026\/06\/Bild-1.png\" alt=\"\" title=\"Bild 1\" src=\"data:image\/svg+xml;base64,PHN2ZyB3aWR0aD0iMSIgaGVpZ2h0PSIxIiB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciPjwvc3ZnPg==\" class=\"lazyload\" style=\"--smush-placeholder-width: 1040px; --smush-placeholder-aspect-ratio: 1040\/720;\" \/>\n\t\t\t\t\t\t<div class=\"snk-media-caption\">Quelle: L&#038;G<\/div>\t\t\t<\/div>\n\n\t\t\t\t\t<\/div>\n\n\t\t\t<\/section>\n\t\n\n\n\t<section class=\"snk-section snk-section_xs\" >\n\t\t<div class=\"container container-xs\">\n\n\t\t\t\n\n\t\t\t\n\t\t\t\t<div class=\"row snk-textColumns\">\n\t\t\t\t\t\n\t\t\t\t\t\t<div class=\"col col-12 snk-textColumn\">\n\t\t\t\t\t\t\t<div class=\"snk-textBlock\">\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<p>Before delving into the data, a couple of things to note:<\/p>\n<ul>\n<li>Real estate has a long history of offering both open- and closed-ended funds. As such we were able to source long-term open- and closed-ended performance statistics from various data providers.<\/li>\n<li>US retail investors can gain exposure to direct lending through BDCs. These offer liquidity via either publicly traded shares, or periodic redemptions. Detailed investment data is available from quarterly BDC regulatory filings.<\/li>\n<\/ul>\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\n\t\t\t\t\t\t\n\t\t\t\t<\/div>\n\n\t\t\t\t\t\t\t\t\t<\/div>\n\t<\/section>\n\n\n\n\t<section class=\"snk-section snk-section_xs\" >\n\t\t<div class=\"container container-xs\">\n\n\t\t\t\n\n\t\t\t\n\t\t\t\t<div class=\"row snk-textColumns\">\n\t\t\t\t\t\n\t\t\t\t\t\t<div class=\"col col-12 snk-textColumn\">\n\t\t\t\t\t\t\t<div class=\"snk-textBlock\">\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<h3>US real estate<\/h3>\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<p>We compared the performance of the NCREIF open-ended fund index versus Preqin\u2019s US Real Estate closed-ended index since 2001. The expectation was that the Preqin index would outperform.<\/p>\n<p>Indeed, closed-ended real estate funds tend to have a higher risk profile. They may be tilted towards single-sector strategies, utilise higher leverage and invest in more complex assets. This contrasts with open-ended funds, which are often diversified, multi-sector strategies focusing on income generation.<\/p>\n<p>Addressing the data, both indices were roughly in line with each other between 2001 and 2018, after which the Preqin index started to outperform meaningfully. Detailed performance attribution is not possible due to a lack of information from Preqin\u2019s index constituents. It\u2019s possible that open-ended funds suffered greater write-downs during the recent correction as they are more \u2018sensitive\u2019 to market movements. Saying this, the open-ended US real estate index did better on a risk-adjusted basis \u2013 perhaps benefiting from greater portfolio diversification^.<\/p>\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\n\t\t\t\t\t\t\n\t\t\t\t<\/div>\n\n\t\t\t\t\t\t\t\t\t<\/div>\n\t<\/section>\n\n\n\n\t<section class=\"snk-section snk-section_noPadding\">\n\t\t<div class=\"container container-xs\">\n\t\t\t<div class=\"snk-media snk-media_image\">\n\n\t\t\t\t\t\t\t\t\t<img decoding=\"async\" data-src=\"https:\/\/assetphysics.com\/wp-content\/uploads\/2026\/06\/Bild-2.png\" alt=\"Image: US Real Estate\" title=\"Bild 2\" src=\"data:image\/svg+xml;base64,PHN2ZyB3aWR0aD0iMSIgaGVpZ2h0PSIxIiB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciPjwvc3ZnPg==\" class=\"lazyload\" style=\"--smush-placeholder-width: 1040px; --smush-placeholder-aspect-ratio: 1040\/720;\" \/>\n\t\t\t\t\t\t\t\t\t<\/div>\n\n\t\t\t\t\t<\/div>\n\n\t\t\t<\/section>\n\t\n\n\n\t<section class=\"snk-section snk-section_xs\" >\n\t\t<div class=\"container container-xs\">\n\n\t\t\t\n\n\t\t\t\n\t\t\t\t<div class=\"row snk-textColumns\">\n\t\t\t\t\t\n\t\t\t\t\t\t<div class=\"col col-12 snk-textColumn\">\n\t\t\t\t\t\t\t<div class=\"snk-textBlock\">\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<h3>European real estate<\/h3>\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<p>We analysed European real estate data sourced from INREV\u2019s open-ended and closed-ended indices as well as Preqin\u2019s European Real Estate close-ended indices. The results were mixed.<\/p>\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\n\t\t\t\t\t\t\n\t\t\t\t<\/div>\n\n\t\t\t\t\t\t\t\t\t<\/div>\n\t<\/section>\n\n\n\n\t<section class=\"snk-section snk-section_noPadding\">\n\t\t<div class=\"container container-xs\">\n\t\t\t<div class=\"snk-media snk-media_image\">\n\n\t\t\t\t\t\t\t\t\t<img decoding=\"async\" data-src=\"https:\/\/assetphysics.com\/wp-content\/uploads\/2026\/06\/Bild-3.png\" alt=\"Image: European Real Estate\" title=\"Bild 3\" src=\"data:image\/svg+xml;base64,PHN2ZyB3aWR0aD0iMSIgaGVpZ2h0PSIxIiB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciPjwvc3ZnPg==\" class=\"lazyload\" style=\"--smush-placeholder-width: 1040px; --smush-placeholder-aspect-ratio: 1040\/720;\" \/>\n\t\t\t\t\t\t\t\t\t<\/div>\n\n\t\t\t\t\t<\/div>\n\n\t\t\t<\/section>\n\t\n\n\n\t<section class=\"snk-section snk-section_xs\" >\n\t\t<div class=\"container container-xs\">\n\n\t\t\t\n\n\t\t\t\n\t\t\t\t<div class=\"row snk-textColumns\">\n\t\t\t\t\t\n\t\t\t\t\t\t<div class=\"col col-12 snk-textColumn\">\n\t\t\t\t\t\t\t<div class=\"snk-textBlock\">\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<p>Given the higher risk profile, we expected to see the Preqin index underperform the INREV open-ended index during the 2008 Global Financial Crisis and over 2022-2023 while then strongly outperforming in other years. This enabled the Preqin closed-ended index to deliver a better absolute but less superior risk-adjusted return than the open-ended index.<\/p>\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\n\t\t\t\t\t\t\n\t\t\t\t<\/div>\n\n\t\t\t\t\t\t\t\t\t<\/div>\n\t<\/section>\n\n\n\n\t<section class=\"snk-section snk-section_xs\" >\n\t\t<div class=\"container container-xs\">\n\n\t\t\t\n\n\t\t\t\n\t\t\t\t<div class=\"row snk-textColumns\">\n\t\t\t\t\t\n\t\t\t\t\t\t<div class=\"col col-12 snk-textColumn\">\n\t\t\t\t\t\t\t<div class=\"snk-textBlock\">\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<h3>Sector allocation can be a big return driver<\/h3>\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<p>In Europe, structural and sectoral differences have played a larger role in shaping outcomes. There was significant return dispersion across the sectors where industrials and residential notably outperformed offices and retail in the last 10 years.<\/p>\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\n\t\t\t\t\t\t\n\t\t\t\t<\/div>\n\n\t\t\t\t\t\t\t\t\t<\/div>\n\t<\/section>\n\n\n\n\t<section class=\"snk-section snk-section_noPadding\">\n\t\t<div class=\"container container-xs\">\n\t\t\t<div class=\"snk-media snk-media_image\">\n\n\t\t\t\t\t\t\t\t\t<img decoding=\"async\" data-src=\"https:\/\/assetphysics.com\/wp-content\/uploads\/2026\/06\/Bild-4.png\" alt=\"Image: European Real Estate by Sector\" title=\"Bild 4\" src=\"data:image\/svg+xml;base64,PHN2ZyB3aWR0aD0iMSIgaGVpZ2h0PSIxIiB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciPjwvc3ZnPg==\" class=\"lazyload\" style=\"--smush-placeholder-width: 1040px; --smush-placeholder-aspect-ratio: 1040\/720;\" \/>\n\t\t\t\t\t\t\t\t\t<\/div>\n\n\t\t\t\t\t<\/div>\n\n\t\t\t<\/section>\n\t\n\n\n\t<section class=\"snk-section snk-section_xs\" >\n\t\t<div class=\"container container-xs\">\n\n\t\t\t\n\n\t\t\t\n\t\t\t\t<div class=\"row snk-textColumns\">\n\t\t\t\t\t\n\t\t\t\t\t\t<div class=\"col col-12 snk-textColumn\">\n\t\t\t\t\t\t\t<div class=\"snk-textBlock\">\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<p>As INREV provides historical sector split data we were able to analyse sector allocation impact in detail. We estimate that sector allocation accounts for c.90% of INREV close-ended index underperformance over the last 15 years. The remaining difference is due to other factors such as fees, country allocation and manager skill.<\/p>\n<p>Up to mid-2010s, closed-ended European funds were strongly biased to retail real estate. Average allocation between 2010 and 2018 was c.50%. Although much reduced since, at the end of 2025 the average retail allocation of closed-ended real estate funds was still notably higher than open-ended funds (15% vs 10%). This is primarily driven by retail specialist funds that don\u2019t diversify into other sectors. It is not, therefore, a reflection on fund liquidity or manager skill.<\/p>\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\n\t\t\t\t\t\t\n\t\t\t\t<\/div>\n\n\t\t\t\t\t\t\t\t\t<\/div>\n\t<\/section>\n\n\n\n\t<section class=\"snk-section snk-section_xs\" >\n\t\t<div class=\"container container-xs\">\n\n\t\t\t\n\n\t\t\t\n\t\t\t\t<div class=\"row snk-textColumns\">\n\t\t\t\t\t\n\t\t\t\t\t\t<div class=\"col col-12 snk-textColumn\">\n\t\t\t\t\t\t\t<div class=\"snk-textBlock\">\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<h3>BDCs vs closed-ended funds<\/h3>\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<p>Cliffwater, which provides direct lending data in addition to being a BDC manager itself, usefully produces an index that measures BDC performance on a levered, net-of-fees basis. This enables a consistent comparison with Preqin\u2019s closed-ended data.<\/p>\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\n\t\t\t\t\t\t\n\t\t\t\t<\/div>\n\n\t\t\t\t\t\t\t\t\t<\/div>\n\t<\/section>\n\n\n\n\t<section class=\"snk-section snk-section_noPadding\">\n\t\t<div class=\"container container-xs\">\n\t\t\t<div class=\"snk-media snk-media_image\">\n\n\t\t\t\t\t\t\t\t\t<img decoding=\"async\" data-src=\"https:\/\/assetphysics.com\/wp-content\/uploads\/2026\/06\/Bild-5.png\" alt=\"Image: US direct lending\" title=\"Bild 5\" src=\"data:image\/svg+xml;base64,PHN2ZyB3aWR0aD0iMSIgaGVpZ2h0PSIxIiB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciPjwvc3ZnPg==\" class=\"lazyload\" style=\"--smush-placeholder-width: 1040px; --smush-placeholder-aspect-ratio: 1040\/720;\" \/>\n\t\t\t\t\t\t\t\t\t<\/div>\n\n\t\t\t\t\t<\/div>\n\n\t\t\t<\/section>\n\t\n\n\n\t<section class=\"snk-section snk-section_xs\" >\n\t\t<div class=\"container container-xs\">\n\n\t\t\t\n\n\t\t\t\n\t\t\t\t<div class=\"row snk-textColumns\">\n\t\t\t\t\t\n\t\t\t\t\t\t<div class=\"col col-12 snk-textColumn\">\n\t\t\t\t\t\t\t<div class=\"snk-textBlock\">\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<p>We do not have sufficiently granular data to get a good understanding of why BDCs outperformed closed-ended direct lending funds. One potential driver could be leverage. Based on filings data, BDC leverage is around 0.5x on average (debt\/capital). Closed-ended funds do not publish their financial information, but research reports and fund finance transactions suggest they deploy lower leverage. Another factor could be size \u2013 BDCs are expected to be more focused on mid-market lending, whereas closed-ended funds have increased their exposure to large and mega-cap borrowers where strong competition has compressed spreads in recent years.<\/p>\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\n\t\t\t\t\t\t\n\t\t\t\t<\/div>\n\n\t\t\t\t\t\t\t\t\t<\/div>\n\t<\/section>\n\n\n\n\t<section class=\"snk-section snk-section_xs\" >\n\t\t<div class=\"container container-xs\">\n\n\t\t\t\n\n\t\t\t\n\t\t\t\t<div class=\"row snk-textColumns\">\n\t\t\t\t\t\n\t\t\t\t\t\t<div class=\"col col-12 snk-textColumn\">\n\t\t\t\t\t\t\t<div class=\"snk-textBlock\">\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<h3>The takeaway<\/h3>\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<p>So, does locking up capital improve returns? The evidence suggests not consistently.<\/p>\n<p>The idea that investors must sacrifice returns for liquidity is not strongly supported by the data.<\/p>\n<p>Across real estate and direct lending, we find no consistent evidence that closed-ended structures deliver a structural performance advantage. In fact, much of the variation in outcomes can be explained by factors such as sector allocation \u2013 rather than whether capital is locked up.<\/p>\n<p>This suggests the debate may be misplaced: what matters most is what you invest in, not how the fund is structured.<\/p>\n<p><em><strong>*Past performance is not a guide to the future.<\/strong><\/em><\/p>\n<p><em><strong>^ It should be noted that diversification is no guarantee against a loss in a declining market.\u00a0<\/strong><\/em><\/p>\n<p><em><strong>Assumptions, opinions, and estimates are provided for illustrative purposes only. There is no guarantee that any forecast will come to pass.<\/strong><\/em><\/p>\n<p>[1]NCREIF (National Council of Real Estate Investment Fiduciaries) is the leading provider of US commercial real estate performance, with history going back to 1978.<\/p>\n<p>[2]INREV (European Association for Investors In Non-Listed Real Estate Vehicles) is a leading European real estate platform. Its database contains over 500 vehicles with AUM of nearly \u20ac475bn. Its quarterly performance index has 20 years of history.<\/p>\n<p>[3]Preqin (part of BlackRock) is a global leader in private market data and analytics covering a range of asset classes. Its quarterly indices provide time-weighted return data on closed-ended funds.<\/p>\n<p>Lushan Sun<br \/>\nHead of Cross-Asset Research, Private Markets, Asset Management, L&amp;G<br \/>\nLushan Sun focuses on market insights, tactical views and long-term thematic trends across private market asset classes.<br \/>\nMore about Lushan Sun: <a href=\"https:\/\/blog.landg.com\/authors\/private-markets\/lushan-sun\/\" target=\"_blank\" rel=\"noopener\">LGIM Blog \u2013 Lushan Sun, Private Credit Research Manager<\/a><\/p>\n<p><strong>Disclaimer:<\/strong>\u00a0Views in this blog do not promote, and are not directly connected to any L&amp;G product or service. Views are from a range of L&amp;G investment professionals, may be specific to an author\u2019s particular investment region or desk, and do not necessarily reflect the views of L&amp;G. For investment professionals only.<\/p>\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\n\t\t\t\t\t\t\n\t\t\t\t<\/div>\n\n\t\t\t\t\t\t\t\t\t<\/div>\n\t<\/section>\n\n\n\n\n\n","protected":false},"excerpt":{"rendered":"<p>As more investors seek exposure to private markets, we examine whether the choice between open- and closed-ended funds matters for performance.<\/p>\n","protected":false},"author":100,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"inline_featured_image":false,"_co_authors":[],"footnotes":""},"categories":[677,8,1027,10],"tags":[1028,1029,713],"type_content":[659,18,35],"class_list":["post-33704","post","type-post","status-publish","format-standard","hentry","category-developments","category-infrastructure","category-real-estate-2","category-real-estate","tag-alternative-investitionen","tag-gelistete-alternativen","tag-private-markte","type_content-analysis","type_content-article","type_content-comment"],"acf":{"homepage_featured_article":false},"_links":{"self":[{"href":"https:\/\/assetphysics.com\/de\/wp-json\/wp\/v2\/posts\/33704","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/assetphysics.com\/de\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/assetphysics.com\/de\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/assetphysics.com\/de\/wp-json\/wp\/v2\/users\/100"}],"replies":[{"embeddable":true,"href":"https:\/\/assetphysics.com\/de\/wp-json\/wp\/v2\/comments?post=33704"}],"version-history":[{"count":0,"href":"https:\/\/assetphysics.com\/de\/wp-json\/wp\/v2\/posts\/33704\/revisions"}],"wp:attachment":[{"href":"https:\/\/assetphysics.com\/de\/wp-json\/wp\/v2\/media?parent=33704"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/assetphysics.com\/de\/wp-json\/wp\/v2\/categories?post=33704"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/assetphysics.com\/de\/wp-json\/wp\/v2\/tags?post=33704"},{"taxonomy":"type_content","embeddable":true,"href":"https:\/\/assetphysics.com\/de\/wp-json\/wp\/v2\/type_content?post=33704"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}