URL: https://hfrc.org/de
Date: 08/10/24 17:26:32

Webpage Performance Test Result

Settings: Desktopv127CableFrankfurt, Germany
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- Test runs: 1
- Connectivity: 5000/1000 Kbps, 28ms Latency
- Custom Metrics

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Page Performance Metrics (Run 1)

TTFB	Start Render	FCP	Speed Index	LCP	CLS	TBT	DC Time	DC Requests	DC Bytes	Total Time	Total Requests	Page Weight
.501S	1.300S	1.396S	1.431S	1.396S	0	.026S	2.113S	22	881KB	2.125S	22	881KB

Visual Page Loading Process (Explore)

Navigation Timings
domContentLoadedEvent	loadEvent
1.294s - 1.294s (0s)	2.078s - 2.079s (0.001s)

Custom Metrics Data

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0-1-.2-.2-.2-.5-.4-.7-.8-.2-.3-.4-.7-.5-1.3a9.7 9.7 0 010-4c.2-.6.4-1.1.7-1.5a2.3 2.3 0 012-1c.4 0 .9 0 1.3.2.3.2.7.4 1 .8v6.4l-.5.6a3.2 3.2 0 01-2.3.8zm16.1 8.4c1.2 0 2.3-.2 3.2-.5 1-.3 1.7-.7 2.4-1.2.6-.5 1.1-1 1.4-1.7a4.3 4.3 0 00.1-3.8c-.2-.5-.6-.8-1-1.1l-1.5-.6a13.4 13.4 0 00-3.4-.4h-1.5l-1-.3c-.3-.1-.5-.3-.5-.6 0-.2.2-.4.5-.6a9.7 9.7 0 003.7-.3 6 6 0 002-1c.5-.4 1-.9 1.3-1.5.3-.6.4-1.3.4-2 0-.5 0-1-.2-1.4l1.1-.2c.4 0 .6-.2.8-.3l.2-.6V7.4h-4.6a7.3 7.3 0 00-3.4-.7c-.8 0-1.7.1-2.4.3l-2 1c-.5.4-1 1-1.3 1.6-.3.6-.5 1.2-.5 2 0 .9.3 1.7.7 2.4a5 5 0 001.9 1.6 4 4 0 00-1.6 1.3 2.6 2.6 0 00-.1 2.7c.2.4.4.6.8.9a4 4 0 00-1.7 1c-.4.5-.6 1-.6 1.7 0 .5.1 1 .4 1.5.3.5.7.9 1.3 1.3.5.3 1.2.6 2 .8 1 .3 2 .4 3.1.4zm0-13.5c-.3 0-.6 0-1-.2-.2 0-.4-.2-.6-.4l-.3-.6-.2-.8c0-.6.2-1.1.5-1.4.4-.4.9-.6 1.6-.6.8 0 1.3.2 1.7.6.3.3.5.8.5 1.4 0 .6-.2 1-.5 1.4-.4.4-1 .6-1.7.6zm.1 10.4l-1.5-.1-.9-.3-.5-.5-.1-.5c0-.3 0-.6.3-.9l.6-.6a15.5 15.5 0 002.5.1 17.6 17.6 0 012 .3l.7.4.2.6c0 .2 0 .4-.2.6 0 .2-.2.3-.5.5l-1 .3a9 9 0 01-1.6 0zm16.4-1.9a12.7 12.7 0 003.4-.5l1.6-.8 1.5-1.2-1.3-1.7a1 1 0 00-.8-.3l-.8.1a78.9 78.9 0 00-1.8.9l-1.3.2c-1 0-1.8-.3-2.4-.9-.7-.5-1-1.5-1.2-2.7h9.2l.3-.3.2-.6v-.8c0-1-.2-2-.5-2.9a6 6 0 00-3.5-3.5c-.9-.3-1.8-.5-2.8-.5-1.1 0-2.1.2-3 .6a7 7 0 00-3.9 4 9.4 9.4 0 000 6.4c.5 1 1 1.8 1.8 2.5.6.7 1.5 1.2 2.4 1.5.9.4 1.9.5 3 .5zm-3-9.5c.1-1 .4-1.6 1-2.1.4-.5 1-.8 2-.8l1.2.3a2.3 2.3 0 011.2 1.5l.2 1H134zm13.9 9.5a2.6 2.6 0 001.8-.7 2.4 2.4 0 00.7-1.8 2.4 2.4 0 00-.7-1.7 2.6 2.6 0 00-2.9-.6 2.6 2.6 0 00-1.3 1.4l-.2 1a2.5 2.5 0 002.6 2.4z"></path> </svg> </div> </div> <h1 data-hero-title="" class="relative z-10 text-2xl xs:text-3xl md:text-4xl lg:text-6xl lg:leading-tight font-black text-white"> Hamburg Financial Research Center </h1> <div data-hero-intro="" class="max-w-[600px] relative z-10 mt-2.5 text-white/60 prose prose-lg prose-a:text-white lg:prose-xl"> <p>Finanzökonomisches Kompetenzzentrum und wissenschaftlicher Partner der Wirtschaft in der Metropolregion Hamburg.</p> <div class="mt-6 flex justify-center animate-bounce"> <svg class="text-white/60 w-8 h-8" xmlns="http://www.w3.org/2000/svg" fill="none" viewBox="0 0 24 24"> <path stroke="currentColor" stroke-linecap="round" stroke-linejoin="round" stroke-width="2" d="M19 9l-7 7-7-7"></path> </svg> </div> </div> <div x-data="{}" x-init="particlesJS.load('particles-home', '/assets/js/particles-home.json')" id="particles-home" class="absolute z-0 inset-y-0 w-screen"> <canvas class="particles-js-canvas-el" width="1920" height="572" style="width: 100%; height: 100%;"></canvas></div> </div> </div>  <section class="bg-white"> <header class="px-4 xs:px-8 pt-10 md:pt-14 lg:pt-24 mx-auto max-w-3xl"> <h2 class="sm:text-center text-2xl xs:text-3xl lg:text-5xl font-black text-gray-800"> News </h2> <div class="mt-6 sm:text-center text-lg lg:text-xl leading-relaxed lg:leading-relaxed prose prose-a:text-cyan-500 prose-a:no-underline prose-a:font-bold text-gray-500 max-w-none"> <p>Wir informieren fortlaufend zu den Aktivitäten und Neuerungen am HFRC über den Newsfeed unserer Institutsseite auf <a href="https://www.linkedin.com/company/hamburg-financial-research-center/" target="_blank" rel="noopener noreferrer">LinkedIn</a>. Eine Übersicht der letzten Updates bieten wir zudem hier in der Rubrik News auf unserer Internetseite.</p> </div> </header> <div class="px-4 xs:px-8 py-10 md:py-14 lg:py-24 mx-auto max-w-7xl"> <div class="grid gap-5 grid-cols-1 sm:grid-cols-2 lg:grid-cols-3"> <a href="https://www.linkedin.com/posts/hamburg-financial-research-center_estimating-stock-market-betas-via-machine-activity-7223319031078944768-_BVV?utm_source=share&utm_medium=member_desktop" target="blank" rel="noopener noreferrer" class="relative group flex flex-col rounded-lg border border-gray-100 shadow-md hover:shadow-xl bg-white select-none transition"> <article class="flex-grow flex flex-col text-gray-500"> <figure class="rounded-t-lg overflow-hidden aspect-w-7 aspect-h-5"> <div class="w-full h-full absolute"> <div class="absolute inset-x-2 top-2 bottom-0 rounded-md bg-current opacity-10"></div> </div> <img src="https://hfrc.org/media/pages/news/neue-publikation/0c6c5dc15a-1722173655/blueprint-6944719-700x500-crop.webp" alt="" class="w-full object-cover rounded-t-lg" width="700" height="500"> </figure> <div class="flex-grow flex flex-col pt-6 pb-5 px-4 sm:px-6 space-y-4"> <header> <h3 class="text-xl leading-6 font-bold text-gray-900"> Neue Publikation im "Journal of Financial and Quantitative Analysis" // HFRC Research </h3> </header> <aside class="space-y-2.5"> <div class="flex items-center"> <div class="mr-2 [&_svg]:block [&_svg]:w-[14px]"> <svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 16 16"> <path fill="currentColor" d="M8 0c4.4176 0 8 3.5824 8 8s-3.5824 8-8 8-8-3.5824-8-8 3.5824-8 8-8zm1 4H7v4.41h.004L7 8.4142l4.2426 4.2427 1.4143-1.4143L9 7.585V4z"></path> </svg> </div> <div class="text-sm leading-4"> 28. Juli 2024 </div> </div> </aside> <div class="flex-grow text-base leading-7 line-clamp-2 transition"> <p>Das HFRC Working Paper "Estimating Stock Market Betas via Machine Learning” wurde zur Veröffentlichung im Journal of Financial and Quantitative Analysis angenommen. Die Studie, verfasst von Wolfgang Drobetz (Universität Hamburg), Fabian Hollstein (Universität des Saarlandes), Tizian Otto (Universität Hamburg) und Marcel Prokopczuk (Leibniz Universität Hannover) zeigt, dass Beta-Faktor-Schätzer, die auf maschinellen Lernverfahren basieren, sowohl statistisch als auch ökonomisch besser abschneiden als traditionelle Betaschätzer. Maschinelle Lernverfahren generieren Aktienmarktbetas mit den geringsten Prognose- und Absicherungsfehlern. Sie helfen außerdem, bessere marktneutrale Anomaliestrategien sowie Portfolios mit minimaler Varianz zu erzeugen. Historische Aktienmarktbetas, Umsatz und Größe eines Unternehmens sind die wichtigsten Prognosevariablen.<br><br>Das Paper kann über folgenden Link heruntergeladen werden: https://lnkd.in/evC8cDpr <br> <br>***<br><br>The HFRC Working Paper “Estimating Stock Market Betas via Machine Learning” has been accepted for publication in the Journal of Financial and Quantitative Analysis. The study, authored by Wolfgang Drobetz (University of Hamburg), Fabian Hollstein (Saarland University), Tizian Otto (University of Hamburg), and Marcel Prokopczuk (Leibniz University Hannover) shows that machine learning-based stock market beta estimators outperform established benchmark models both statistically and economically. Machine learning-based estimators produce the lowest forecast and hedging errors, and they also help create better market-neutral anomaly strategies and minimum variance portfolios. Historical stock market betas, turnover, and size are the most important predictors.<br><br>The paper can be downloaded via the following link: https://lnkd.in/evC8cDpr</p> </div> <footer> <div class="flex items-center text-base font-bold text-cyan-500"> <span>Auf LinkedIn weiterlesen</span> </div></footer> </div> </article> </a> <a href="https://www.linkedin.com/feed/update/urn:li:activity:7218940011453255680" target="blank" rel="noopener noreferrer" class="relative group flex flex-col rounded-lg border border-gray-100 shadow-md hover:shadow-xl bg-white select-none transition"> <article class="flex-grow flex flex-col text-gray-500"> <figure class="rounded-t-lg overflow-hidden aspect-w-7 aspect-h-5"> <div class="w-full h-full absolute"> <div class="absolute inset-x-2 top-2 bottom-0 rounded-md bg-current opacity-10"></div> </div> <img src="https://hfrc.org/media/pages/news/publikation-hfrc-research/94735bec54-1721145355/cryptocurrency-6601591-700x500-crop.webp" alt="" class="w-full object-cover rounded-t-lg" width="700" height="500"> </figure> <div class="flex-grow flex flex-col pt-6 pb-5 px-4 sm:px-6 space-y-4"> <header> <h3 class="text-xl leading-6 font-bold text-gray-900"> Neue Publikation im Journal "Entrepreneurship Theory and Practice" // HFRC Research </h3> </header> <aside class="space-y-2.5"> <div class="flex items-center"> <div class="mr-2 [&_svg]:block [&_svg]:w-[14px]"> <svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 16 16"> <path fill="currentColor" d="M8 0c4.4176 0 8 3.5824 8 8s-3.5824 8-8 8-8-3.5824-8-8 3.5824-8 8-8zm1 4H7v4.41h.004L7 8.4142l4.2426 4.2427 1.4143-1.4143L9 7.585V4z"></path> </svg> </div> <div class="text-sm leading-4"> 16. Juli 2024 </div> </div> </aside> <div class="flex-grow text-base leading-7 line-clamp-2 transition"> <p>Das HFRC Working Paper „Token-Based Crowdfunding: Investor Choice and the Optimal Timing of Initial Coin Offerings” wurde zur Veröffentlichung im renommierten Journal „Entrepreneurship Theory and Practice” angenommen. Die Studie, verfasst von Wolfgang Drobetz (Universität Hamburg), Niclas Schermann (Universität Hamburg), Lars Hornuf (Technische Universität Dresden) und Paul P. Momtaz (Technische Universität München), untersucht die operative und finanzielle Performance von Start-up-Unternehmen, die Initial Coin Offerings (ICOs) mit verschiedenen Arten von Investoren und zu unterschiedlichen Zeitpunkten im Unternehmenslebenszyklus durchführen.<br>Darüber hinaus analysiert die Studie den optimalen Zeitpunkt im Wachstum eines Start-ups, um am externen Kapitalmarkt eine Finanzierung mittels der Emission von Blockchain-Tokens aufzunehmen.<br><br>Das Paper kann über folgenden Link heruntergeladen werden: https://lnkd.in/enGP4utW</p> </div> <footer> <div class="flex items-center text-base font-bold text-cyan-500"> <span>Auf LinkedIn weiterlesen</span> </div></footer> </div> </article> </a> <a href="https://www.linkedin.com/feed/update/urn:li:activity:7212891463347564544" target="blank" rel="noopener noreferrer" class="relative group flex flex-col rounded-lg border border-gray-100 shadow-md hover:shadow-xl bg-white select-none transition"> <article class="flex-grow flex flex-col text-gray-500"> <figure class="rounded-t-lg overflow-hidden aspect-w-7 aspect-h-5"> <div class="w-full h-full absolute"> <div class="absolute inset-x-2 top-2 bottom-0 rounded-md bg-current opacity-10"></div> </div> <img src="https://hfrc.org/media/pages/news/abschluss-des-sommersemesters/4e4757ef0a-1720096918/image0-700x500-crop.webp" alt="" class="w-full object-cover rounded-t-lg" width="700" height="500"> </figure> <div class="flex-grow flex flex-col pt-6 pb-5 px-4 sm:px-6 space-y-4"> <header> <h3 class="text-xl leading-6 font-bold text-gray-900"> Abschluss des Sommersemesters // Finance Talents </h3> </header> <aside class="space-y-2.5"> <div class="flex items-center"> <div class="mr-2 [&_svg]:block [&_svg]:w-[14px]"> <svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 16 16"> <path fill="currentColor" d="M8 0c4.4176 0 8 3.5824 8 8s-3.5824 8-8 8-8-3.5824-8-8 3.5824-8 8-8zm1 4H7v4.41h.004L7 8.4142l4.2426 4.2427 1.4143-1.4143L9 7.585V4z"></path> </svg> </div> <div class="text-sm leading-4"> 27. Juni 2024 </div> </div> </aside> <div class="flex-grow text-base leading-7 line-clamp-2 transition"> <p>Am Donnerstag haben unsere HFRC Finance Talents zusammen mit unserem Corporate Partner, der Hamburger Sparkasse, auf den Abschluss des Sommersemesters angestoßen. Das Wetter war zwar leider alles andere als sommerlich (es hat in Strömen geregnet), aber das hat der Stimmung keinen Abbruch getan!<br>Nach einer kurzen Vorstellung der Haspa und einer Führung durch die neue Zentrale im Deutschlandhaus, konnten unsere Talents sich bei Drinks und Snacks mit Kamilla Zak und Tilman Pflugbeil über Einstiegsmöglichkeiten, Karrierechancen und Abschlussarbeiten in Kooperation mit der Haspa austauschen. <br><br>Vielen Dank an die Haspa für den gelungenen Abend!</p> </div> <footer> <div class="flex items-center text-base font-bold text-cyan-500"> <span>Auf LinkedIn weiterlesen</span> </div></footer> </div> </article> </a> <a href="https://www.linkedin.com/feed/update/urn:li:activity:7202738563199684608" target="blank" rel="noopener noreferrer" class="relative group flex flex-col rounded-lg border border-gray-100 shadow-md hover:shadow-xl bg-white select-none transition"> <article class="flex-grow flex flex-col text-gray-500"> <figure class="rounded-t-lg overflow-hidden aspect-w-7 aspect-h-5"> <div class="w-full h-full absolute"> <div class="absolute inset-x-2 top-2 bottom-0 rounded-md bg-current opacity-10"></div> </div> <img src="https://hfrc.org/media/pages/news/financial-modeling-workshop-mit-adiuva-capital/49a3a3d299-1717411656/img-0985-700x500-crop.webp" alt="" class="w-full object-cover rounded-t-lg" width="700" height="500"> </figure> <div class="flex-grow flex flex-col pt-6 pb-5 px-4 sm:px-6 space-y-4"> <header> <h3 class="text-xl leading-6 font-bold text-gray-900"> Financial Modeling Workshop // Finance Talents </h3> </header> <aside class="space-y-2.5"> <div class="flex items-center"> <div class="mr-2 [&_svg]:block [&_svg]:w-[14px]"> <svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 16 16"> <path fill="currentColor" d="M8 0c4.4176 0 8 3.5824 8 8s-3.5824 8-8 8-8-3.5824-8-8 3.5824-8 8-8zm1 4H7v4.41h.004L7 8.4142l4.2426 4.2427 1.4143-1.4143L9 7.585V4z"></path> </svg> </div> <div class="text-sm leading-4"> 01. Juni 2024 </div> </div> </aside> <div class="flex-grow text-base leading-7 line-clamp-2 transition"> <p>Diese Woche durften unsere Talents in die Welt des Financial Modelings eintauchen.<br>Unter Anleitung unseres Corporate Partners Adiuva Capital lösten sie eine Case Study zur Bewertung einer Leveraged-Buyout-Transaktion. Vielen Dank an Adiuva Capital für die interessanten Einblicke in den Arbeitsalltag einer Beteiligungsgesellschaft!</p> </div> <footer> <div class="flex items-center text-base font-bold text-cyan-500"> <span>Auf LinkedIn weiterlesen</span> </div></footer> </div> </article> </a> <a href="https://www.linkedin.com/feed/update/urn:li:activity:7200783475296083968" target="blank" rel="noopener noreferrer" class="relative group flex flex-col rounded-lg border border-gray-100 shadow-md hover:shadow-xl bg-white select-none transition"> <article class="flex-grow flex flex-col text-gray-500"> <figure class="rounded-t-lg overflow-hidden aspect-w-7 aspect-h-5"> <div class="w-full h-full absolute"> <div class="absolute inset-x-2 top-2 bottom-0 rounded-md bg-current opacity-10"></div> </div> <img src="https://hfrc.org/media/pages/news/portfolio-bidding-workshop-finance-talents/9fe6eb32f6-1716984621/eos-group-700x500-crop.webp" alt="" class="w-full object-cover rounded-t-lg" width="700" height="500"> </figure> <div class="flex-grow flex flex-col pt-6 pb-5 px-4 sm:px-6 space-y-4"> <header> <h3 class="text-xl leading-6 font-bold text-gray-900"> Portfolio Bidding Workshop // Finance Talents </h3> </header> <aside class="space-y-2.5"> <div class="flex items-center"> <div class="mr-2 [&_svg]:block [&_svg]:w-[14px]"> <svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 16 16"> <path fill="currentColor" d="M8 0c4.4176 0 8 3.5824 8 8s-3.5824 8-8 8-8-3.5824-8-8 3.5824-8 8-8zm1 4H7v4.41h.004L7 8.4142l4.2426 4.2427 1.4143-1.4143L9 7.585V4z"></path> </svg> </div> <div class="text-sm leading-4"> 27. Mai 2024 </div> </div> </aside> <div class="flex-grow text-base leading-7 line-clamp-2 transition"> <p>Vergangene Woche haben unsere HFRC Finance Talents an einem spannenden Portfolio Bidding Workshop bei unserem Corporate Partner EOS Group teilgenommen. Das Gewinnerteam wurde in ein exklusives Mentoringprogramm von EOS aufgenommen.<br>Vielen Dank an EOS für die interessanten Einblicke in die Welt der Portfolioankäufe und den rundum gelungenen Abend!</p> </div> <footer> <div class="flex items-center text-base font-bold text-cyan-500"> <span>Auf LinkedIn weiterlesen</span> </div></footer> </div> </article> </a> <a href="https://www.linkedin.com/feed/update/urn:li:activity:7183946644206292992" target="blank" rel="noopener noreferrer" class="relative group flex flex-col rounded-lg border border-gray-100 shadow-md hover:shadow-xl bg-white select-none transition"> <article class="flex-grow flex flex-col text-gray-500"> <figure class="rounded-t-lg overflow-hidden aspect-w-7 aspect-h-5"> <div class="w-full h-full absolute"> <div class="absolute inset-x-2 top-2 bottom-0 rounded-md bg-current opacity-10"></div> </div> <img src="https://hfrc.org/media/pages/news/hfrc-finance-talents-semesterfeier/3e870af2d3-1713019003/hfrc-700x500-crop.webp" alt="" class="w-full object-cover rounded-t-lg" width="700" height="500"> </figure> <div class="flex-grow flex flex-col pt-6 pb-5 px-4 sm:px-6 space-y-4"> <header> <h3 class="text-xl leading-6 font-bold text-gray-900"> Start des Sommersemesters // Finance Talents </h3> </header> <aside class="space-y-2.5"> <div class="flex items-center"> <div class="mr-2 [&_svg]:block [&_svg]:w-[14px]"> <svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 16 16"> <path fill="currentColor" d="M8 0c4.4176 0 8 3.5824 8 8s-3.5824 8-8 8-8-3.5824-8-8 3.5824-8 8-8zm1 4H7v4.41h.004L7 8.4142l4.2426 4.2427 1.4143-1.4143L9 7.585V4z"></path> </svg> </div> <div class="text-sm leading-4"> 10. April 2024 </div> </div> </aside> <div class="flex-grow text-base leading-7 line-clamp-2 transition"> <p>Zum Auftakt des Sommersemesters haben wir heute unsere HFRC Finance Talents eingeladen. Bei erfrischenden Drinks und leckeren Snacks hatten unsere Talents die Gelegenheit, sich mit den Wissenschaftlern des HFRC und Mitarbeitern unseres Corporate Partners Berenberg zu vielfältigen Themen aus Wissenschaft und Praxis auszutauschen. Auch dieses Sommersemester können sich unsere Talents auf ein buntes Programm an Workshops, Wettbewerben und Social Events freuen.</p> </div> <footer> <div class="flex items-center text-base font-bold text-cyan-500"> <span>Auf LinkedIn weiterlesen</span> </div></footer> </div> </article> </a> </div> <div class="mt-16 text-center"> <a href="https://de.linkedin.com/company/hamburg-financial-research-center" target="_blank" rel="noopener noreferrer" class="inline-flex items-center px-5 py-3 border border-gray-300 shadow-sm text-base font-bold rounded-md text-gray-700 bg-white hover:bg-gray-50 focus:outline-none focus:ring-2 focus:ring-offset-2 focus:ring-cyan-500"> Folgen Sie unserem Newsfeed auf LinkedIn </a> </div> </div> </section>  <section class="bg-gray-100"> <header class="px-4 xs:px-8 pt-10 md:pt-14 lg:pt-24 mx-auto max-w-3xl"> <h2 class="sm:text-center text-2xl xs:text-3xl lg:text-5xl font-black text-gray-800"> Publikationen </h2> <div class="mt-6 sm:text-center text-lg lg:text-xl leading-relaxed lg:leading-relaxed prose prose-a:text-cyan-500 prose-a:no-underline prose-a:font-bold text-gray-600 max-w-none"> <p>Wir veröffentlichen unsere Forschungsergebnisse regelmäßig in angesehenen internationalen Fachzeitschriften. Eine Übersicht aller Veröffentlichungen sowie der aktuellen Arbeits- und Diskussionpapiere bietet die Rubrik <a href="/de/publikationen" rel="noopener noreferrer">Publikationen</a>.</p> </div> </header> <div class="px-4 xs:px-8 py-10 md:py-14 lg:py-24 mx-auto max-w-7xl"> <div class="grid gap-5 grid-cols-1 sm:grid-cols-2 lg:grid-cols-4"> <a href="https://hfrc.org/de/publikationen/the-financial-and-non-financial-performance-of-token-based-crowdfunding-certification-arbitrage-investor-choice-and-the-optimal-" class="relative group block rounded-lg border border-gray-100 shadow-md hover:shadow-xl bg-white select-none transition"> <article> <aside class="py-1.5 px-4 bg-cyan-100 rounded-t-lg flex justify-between items-center"> <div class="text-sm text-cyan-500 font-bold"> Journal Artikel </div> <div class="px-2 py-1 text-cyan-500 text-[13px] leading-none tracking-wider font-bold"> 2024 </div> </aside> <header class="p-4"> <h3 class="text-lg leading-6 font-bold text-gray-900"> Token-based crowdfunding: Investor choice and the optimal timing of initial coin offerings (ICOs) </h3> <div class="mt-3 space-y-2.5"> <div class="flex items-center text-base text-gray-700"> <div class="flex-shrink-0 w-4 h-4 mr-2 text-gray-400"> <svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 16 16"> <path fill="currentColor" d="M12.6728 12.3736C11.5048 13.6208 9.8432 14.4 8 14.4c-1.844 0-3.5056-.7792-4.6736-2.0264v-.0008a3.1562 3.1562 0 01.3896-.2304l1.2256-.6136a1.5992 1.5992 0 00.8368-1.0424l.2472-.9896h.0064C5.2456 8.5144 4.8 7.2864 4.8 6v-.4c0-1.7672 1.4328-3.2 3.2-3.2s3.2 1.4328 3.2 3.2V6c0 1.2864-.4464 2.5144-1.2328 3.4968h.0064l.248.9896c.1128.4528.4184.8344.836 1.0424l1.2256.6136c.136.068.2664.1448.3896.2304v.0008zM8 0C3.5816 0 0 3.5824 0 8c0 4.4184 3.5816 8 8 8s8-3.5816 8-8c0-4.4176-3.5816-8-8-8z"></path> </svg> </div> <div class="truncate text-sm leading-none text-gray-500 group-hover:text-gray-900"> Wolfgang Drobetz, Lars Hornuf, Paul P. Momtaz, Niclas Schermann </div> </div> <div class="flex items-center text-base text-gray-700"> <div class="flex-shrink-0 w-4 h-4 mr-2 text-gray-400"> <svg xmlns="http://www.w3.org/2000/svg" width="16" height="16" viewBox="0 0 16 16"> <path fill="currentColor" d="M12.8 11.2c-1.6 0-3.2 0-4.8 1.6-1.6-1.6-3.2-1.6-4.8-1.6V4C4.8 4 6.4 4 8 5.6 9.6 4 11.2 4 12.8 4v7.2zM8 0C3.5824 0 0 3.5824 0 8s3.5824 8 8 8 8-3.5824 8-8-3.5824-8-8-8z"></path> </svg> </div> <div class="truncate text-sm leading-none text-gray-500 group-hover:text-gray-900"> Entrepreneurship Theory and Practice | 06/2024 </div> </div> </div> </header> <div class="px-4 pb-4"> <div class="line-clamp-6 text-base text-gray-600 group-hover:text-gray-900"> This paper examines the operating and financial performance of venture firms conducting initial coin offerings (ICOs) with different types of investors and at different points along a venture’s life-cycle. Relative to purely crowdfunded ICO ventures, institutional investor-backed ICO ventures exhibit weaker operating performance and fail earlier. However, conditional on survival, these ventures financially outperform their peers that do not receive institutional investor support. The diverging effects of investor backing on financial and operating performance are consistent with our theory of "certification exploitation" through a new form of pump-and-dump scheme. Institutional investors exploit their reputation to drive up ICO valuations and quickly exit the venture post-ICO, with the difference in pre- versus post-certification token prices being their exploitation profit in liquid markets for startups. Our findings further indicate that there is an inverted U-shaped relationship between the financial success of an ICO and the timing along a venture’s life-cycle, with the product piloting phase representing the pivotal point. </div> </div> </article> </a> <a href="https://hfrc.org/de/publikationen/estimating-security-betas-via-machine-learning" class="relative group block rounded-lg border border-gray-100 shadow-md hover:shadow-xl bg-white select-none transition"> <article> <aside class="py-1.5 px-4 bg-cyan-100 rounded-t-lg flex justify-between items-center"> <div class="text-sm text-cyan-500 font-bold"> Journal Artikel </div> <div class="px-2 py-1 text-cyan-500 text-[13px] leading-none tracking-wider font-bold"> 2024 </div> </aside> <header class="p-4"> <h3 class="text-lg leading-6 font-bold text-gray-900"> Estimating stock market betas via machine learning </h3> <div class="mt-3 space-y-2.5"> <div class="flex items-center text-base text-gray-700"> <div class="flex-shrink-0 w-4 h-4 mr-2 text-gray-400"> <svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 16 16"> <path fill="currentColor" d="M12.6728 12.3736C11.5048 13.6208 9.8432 14.4 8 14.4c-1.844 0-3.5056-.7792-4.6736-2.0264v-.0008a3.1562 3.1562 0 01.3896-.2304l1.2256-.6136a1.5992 1.5992 0 00.8368-1.0424l.2472-.9896h.0064C5.2456 8.5144 4.8 7.2864 4.8 6v-.4c0-1.7672 1.4328-3.2 3.2-3.2s3.2 1.4328 3.2 3.2V6c0 1.2864-.4464 2.5144-1.2328 3.4968h.0064l.248.9896c.1128.4528.4184.8344.836 1.0424l1.2256.6136c.136.068.2664.1448.3896.2304v.0008zM8 0C3.5816 0 0 3.5824 0 8c0 4.4184 3.5816 8 8 8s8-3.5816 8-8c0-4.4176-3.5816-8-8-8z"></path> </svg> </div> <div class="truncate text-sm leading-none text-gray-500 group-hover:text-gray-900"> Wolfgang Drobetz, Fabian Hollstein, Tizian Otto, Marcel Prokopczuk </div> </div> <div class="flex items-center text-base text-gray-700"> <div class="flex-shrink-0 w-4 h-4 mr-2 text-gray-400"> <svg xmlns="http://www.w3.org/2000/svg" width="16" height="16" viewBox="0 0 16 16"> <path fill="currentColor" d="M12.8 11.2c-1.6 0-3.2 0-4.8 1.6-1.6-1.6-3.2-1.6-4.8-1.6V4C4.8 4 6.4 4 8 5.6 9.6 4 11.2 4 12.8 4v7.2zM8 0C3.5824 0 0 3.5824 0 8s3.5824 8 8 8 8-3.5824 8-8-3.5824-8-8-8z"></path> </svg> </div> <div class="truncate text-sm leading-none text-gray-500 group-hover:text-gray-900"> Journal of Financial and Quantitative Analysis | 05/2024 | Forthcoming </div> </div> </div> </header> <div class="px-4 pb-4"> <div class="line-clamp-6 text-base text-gray-600 group-hover:text-gray-900"> Machine learning-based market beta estimators outperform established benchmark models both statistically and economically. Analyzing the predictability of time-varying market betas of U.S. stocks, we document that machine learning-based estimators produce the lowest forecast and hedging errors. They also help create better market-neutral anomaly strategies and minimum variance portfolios. Among the various techniques, random foests perform best overall. Model complexity is highly time-varying. Historical stock market betas, turnover, and size are the most important predictors. Compared to linear regressions, allowing for nonlinearity and interactions significantly improves predictive performance. </div> </div> </article> </a> <a href="https://hfrc.org/de/publikationen/predicting-corporate-bond-illiquidity-via-machine-learning" class="relative group block rounded-lg border border-gray-100 shadow-md hover:shadow-xl bg-white select-none transition"> <article> <aside class="py-1.5 px-4 bg-cyan-100 rounded-t-lg flex justify-between items-center"> <div class="text-sm text-cyan-500 font-bold"> Journal Artikel </div> <div class="px-2 py-1 text-cyan-500 text-[13px] leading-none tracking-wider font-bold"> 2024 </div> </aside> <header class="p-4"> <h3 class="text-lg leading-6 font-bold text-gray-900"> Predicting corporate bond illiquidity via machine learning </h3> <div class="mt-3 space-y-2.5"> <div class="flex items-center text-base text-gray-700"> <div class="flex-shrink-0 w-4 h-4 mr-2 text-gray-400"> <svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 16 16"> <path fill="currentColor" d="M12.6728 12.3736C11.5048 13.6208 9.8432 14.4 8 14.4c-1.844 0-3.5056-.7792-4.6736-2.0264v-.0008a3.1562 3.1562 0 01.3896-.2304l1.2256-.6136a1.5992 1.5992 0 00.8368-1.0424l.2472-.9896h.0064C5.2456 8.5144 4.8 7.2864 4.8 6v-.4c0-1.7672 1.4328-3.2 3.2-3.2s3.2 1.4328 3.2 3.2V6c0 1.2864-.4464 2.5144-1.2328 3.4968h.0064l.248.9896c.1128.4528.4184.8344.836 1.0424l1.2256.6136c.136.068.2664.1448.3896.2304v.0008zM8 0C3.5816 0 0 3.5824 0 8c0 4.4184 3.5816 8 8 8s8-3.5816 8-8c0-4.4176-3.5816-8-8-8z"></path> </svg> </div> <div class="truncate text-sm leading-none text-gray-500 group-hover:text-gray-900"> Axel Cabrol, Wolfgang Drobetz, Tizian Otto, Tatjana Xenia Puhan </div> </div> <div class="flex items-center text-base text-gray-700"> <div class="flex-shrink-0 w-4 h-4 mr-2 text-gray-400"> <svg xmlns="http://www.w3.org/2000/svg" width="16" height="16" viewBox="0 0 16 16"> <path fill="currentColor" d="M12.8 11.2c-1.6 0-3.2 0-4.8 1.6-1.6-1.6-3.2-1.6-4.8-1.6V4C4.8 4 6.4 4 8 5.6 9.6 4 11.2 4 12.8 4v7.2zM8 0C3.5824 0 0 3.5824 0 8s3.5824 8 8 8 8-3.5824 8-8-3.5824-8-8-8z"></path> </svg> </div> <div class="truncate text-sm leading-none text-gray-500 group-hover:text-gray-900"> Financial Analysts Journal | 05/2024 | Forthcoming </div> </div> </div> </header> <div class="px-4 pb-4"> <div class="line-clamp-6 text-base text-gray-600 group-hover:text-gray-900"> This paper tests the predictive performance of machine learning methods in estimating the illiquidity of U.S. corporate bonds. Machine learning techniques outperform the historical illiquidity-based approach, the most commonly applied benchmark in practice, from both a statistical and an economic perspective. Tree-based models and neural networks outperform linear regressions, which incorporate the same set of covariates. Gradient boosted regression trees perform particularly well. Historical illiquidity is the most important single predictor variable, but several fundametal and return- as well as risk-based covariates also possess predictive power. Capturing interactions and nonlinear effects among these predictors further enhances predictive performance. </div> </div> </article> </a> <a href="https://hfrc.org/de/publikationen/the-sustainability-committee-and-environmental-disclosure-international-evidence" class="relative group block rounded-lg border border-gray-100 shadow-md hover:shadow-xl bg-white select-none transition"> <article> <aside class="py-1.5 px-4 bg-cyan-100 rounded-t-lg flex justify-between items-center"> <div class="text-sm text-cyan-500 font-bold"> Journal Artikel </div> <div class="px-2 py-1 text-cyan-500 text-[13px] leading-none tracking-wider font-bold"> 2024 </div> </aside> <header class="p-4"> <h3 class="text-lg leading-6 font-bold text-gray-900"> The sustainability committee and environmental disclosure: International evidence </h3> <div class="mt-3 space-y-2.5"> <div class="flex items-center text-base text-gray-700"> <div class="flex-shrink-0 w-4 h-4 mr-2 text-gray-400"> <svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 16 16"> <path fill="currentColor" d="M12.6728 12.3736C11.5048 13.6208 9.8432 14.4 8 14.4c-1.844 0-3.5056-.7792-4.6736-2.0264v-.0008a3.1562 3.1562 0 01.3896-.2304l1.2256-.6136a1.5992 1.5992 0 00.8368-1.0424l.2472-.9896h.0064C5.2456 8.5144 4.8 7.2864 4.8 6v-.4c0-1.7672 1.4328-3.2 3.2-3.2s3.2 1.4328 3.2 3.2V6c0 1.2864-.4464 2.5144-1.2328 3.4968h.0064l.248.9896c.1128.4528.4184.8344.836 1.0424l1.2256.6136c.136.068.2664.1448.3896.2304v.0008zM8 0C3.5816 0 0 3.5824 0 8c0 4.4184 3.5816 8 8 8s8-3.5816 8-8c0-4.4176-3.5816-8-8-8z"></path> </svg> </div> <div class="truncate text-sm leading-none text-gray-500 group-hover:text-gray-900"> Hamdi Driss, Wolfgang Drobetz, Sadok El Ghoul, Omrane Guedhami </div> </div> <div class="flex items-center text-base text-gray-700"> <div class="flex-shrink-0 w-4 h-4 mr-2 text-gray-400"> <svg xmlns="http://www.w3.org/2000/svg" width="16" height="16" viewBox="0 0 16 16"> <path fill="currentColor" d="M12.8 11.2c-1.6 0-3.2 0-4.8 1.6-1.6-1.6-3.2-1.6-4.8-1.6V4C4.8 4 6.4 4 8 5.6 9.6 4 11.2 4 12.8 4v7.2zM8 0C3.5824 0 0 3.5824 0 8s3.5824 8 8 8 8-3.5824 8-8-3.5824-8-8-8z"></path> </svg> </div> <div class="truncate text-sm leading-none text-gray-500 group-hover:text-gray-900"> Journal of Economic Behavior & Organization | 05/2024 | Forthcoming </div> </div> </div> </header> <div class="px-4 pb-4"> <div class="line-clamp-6 text-base text-gray-600 group-hover:text-gray-900"> This paper contributes to the growing debate about the role of board-level sustainability committees, focusing on whether they leverage sustainability expertise for impactful environmental initiatives or purely serve as symbolic actions aimed at greenwashing. Using a large set of firms from 35 countries over the 2010–2017 period, we find that the presence of a sustainability committee is positively associated with higher-quality GHG emissions disclosure. This finding is robust to endogeneity and sample selection bias concerns. The sustainability committee effect is more pronounced when external environmental institutions are too weak to properly monitor corporate environmental disclosure. 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protected]" class="text-gray-700 focus:ring-cyan-500 hover:bg-gray-50 flex-grow flex justify-center items-center text-center px-5 py-4 text-base font-bold bg-white focus:outline-none focus:ring-2 focus:ring-offset-2"> <svg class="mr-3 h-5 w-5 text-cyan-500" viewBox="0 0 22 18" xmlns="http://www.w3.org/2000/svg"> <path fill="currentColor" d="M2.357 0A2.366 2.366 0 0 0 0 2.357V14.93a2.366 2.366 0 0 0 2.357 2.357h17.286A2.366 2.366 0 0 0 22 14.929V2.357A2.366 2.366 0 0 0 19.643 0H2.357zm0 1.571h17.286c.055 0 .098.019.147.031L11 7.685 2.21 1.602c.049-.012.092-.03.147-.03zM1.571 3.07L11 9.6l9.429-6.53v11.128l-4.936-4.131-1.35.933 5.616 4.69c-.036.006-.073.024-.116.024H2.357c-.043 0-.08-.018-.116-.024L7.857 11l-1.35-.933-4.936 4.131V3.07z"></path> </svg> <span class="leading-none"> [email protected] </span> </a> </div> </div> </li> <li x-show="visibleContact == 3" style="display: none;"> <div class="flex flex-col bg-white rounded-lg shadow border border-gray-200 divide-y divide-gray-200 min-h-[176px]"> <div class="flex-grow px-5 py-5 flex items-center"> <div class="mr-4 w-[70px] h-[70px] flex-shrink-0 rounded-full bg-gray-300 overflow-hidden relative"> <div class="w-full h-full rounded-full bg-gray-200"> <img src="https://hfrc.org/media/pages/personen/stine-alexandra-boente/059329ef6f-1695891511/boente-hfrc-400x400-clip914x914-64x469.webp" alt="Stine Alexandra Bönte" width="261" height="261" class="block w-full h-full rounded-full object-cover select-none pointer-events-none bg-gray-50"> </div> <div class="absolute inset-0 w-full h-full shadow-inner rounded-full"></div> </div> <div> <h3 class="text-base font-bold text-gray-800"> Stine Alexandra Bönte </h3> <p class="text-base font-normal text-gray-500"> HFRC Finance Talents </p> </div> </div> <div class="divide-y divide-gray-200 rounded-b-xl overflow-hidden"> <a href="mailto:[email protected]" class="text-gray-700 focus:ring-cyan-500 hover:bg-gray-50 flex-grow flex justify-center items-center text-center px-5 py-4 text-base font-bold bg-white focus:outline-none focus:ring-2 focus:ring-offset-2"> <svg class="mr-3 h-5 w-5 text-cyan-500" viewBox="0 0 22 18" xmlns="http://www.w3.org/2000/svg"> <path fill="currentColor" d="M2.357 0A2.366 2.366 0 0 0 0 2.357V14.93a2.366 2.366 0 0 0 2.357 2.357h17.286A2.366 2.366 0 0 0 22 14.929V2.357A2.366 2.366 0 0 0 19.643 0H2.357zm0 1.571h17.286c.055 0 .098.019.147.031L11 7.685 2.21 1.602c.049-.012.092-.03.147-.03zM1.571 3.07L11 9.6l9.429-6.53v11.128l-4.936-4.131-1.35.933 5.616 4.69c-.036.006-.073.024-.116.024H2.357c-.043 0-.08-.018-.116-.024L7.857 11l-1.35-.933-4.936 4.131V3.07z"></path> </svg> <span class="leading-none"> [email protected] </span> </a> </div> </div> </li> </ul> </div> </section> </div> </footer> <div class="flex flex-col items-center px-4 xs:px-8 py-8 space-y-8 sm:space-y-6 bg-blue-900 text-white/50"> <ul class="flex flex-row flex-wrap sm:justify-center sm:items-center gap-y-5 gap-x-4"> <li class="w-full max-w-xs mx-auto sm:w-auto"> <a href="https://hfrc.org/de" class="group flex justify-center items-center px-[22px] py-3 border border-current rounded-md text-current hover:text-white transition"> <svg class="mr-1.5 w-4 h-[23px]" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 16 23"> <path fill="currentColor" d="M15.359 3.413v13.689c0 3.206-3.445 5.814-7.679 5.814-4.235 0-7.68-2.608-7.68-5.814V3.413h15.359zm-1.023 1.024H1.024v12.665c0 .936.375 1.81 1.022 2.548l.001-4.974h1.025v5.879c.313.217.656.412 1.024.582v-9.533H5.12v9.92c.329.099.671.18 1.025.24L6.144 9.556h1.024v12.321a9.322 9.322 0 0 0 1.023 0V11.604h1.024v10.16c.354-.06.696-.141 1.025-.24L10.24 7.508h1.024v13.628c.368-.17.711-.365 1.025-.581L12.287 5.46h1.024l.001 14.191c.649-.739 1.024-1.613 1.024-2.55V4.437zM1.024 1.365h3.754v1.024H1.024V1.365zm9.557 0h3.754v1.024h-3.754V1.365zM9.556 2.389V1.365h-.512a1.365 1.365 0 0 0-2.73 0h-.512v1.024h3.754z"></path> </svg> <span> HFRC Website </span> </a> </li> <li class="w-full max-w-xs mx-auto sm:w-auto"> <a href="#" class="group flex justify-center items-center px-[22px] py-3 border border-current rounded-md text-current hover:text-white transition"> <svg class="mr-1.5 w-4 h-[23px]" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 16 23"> <path fill="currentColor" d="M15.359 3.413v13.689c0 3.206-3.445 5.814-7.679 5.814-4.235 0-7.68-2.608-7.68-5.814V3.413h15.359zm-1.023 1.024H1.024v12.665c0 .936.375 1.81 1.022 2.548l.001-4.974h1.025v5.879c.313.217.656.412 1.024.582v-9.533H5.12v9.92c.329.099.671.18 1.025.24L6.144 9.556h1.024v12.321a9.322 9.322 0 0 0 1.023 0V11.604h1.024v10.16c.354-.06.696-.141 1.025-.24L10.24 7.508h1.024v13.628c.368-.17.711-.365 1.025-.581L12.287 5.46h1.024l.001 14.191c.649-.739 1.024-1.613 1.024-2.55V4.437zM1.024 1.365h3.754v1.024H1.024V1.365zm9.557 0h3.754v1.024h-3.754V1.365zM9.556 2.389V1.365h-.512a1.365 1.365 0 0 0-2.73 0h-.512v1.024h3.754z"></path> </svg> <span> Talent Program </span> </a> </li> <li class="w-full max-w-xs mx-auto sm:w-auto"> <a href="#" class="group flex 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class="px-3 py-2 text-current hover:text-white transition"> Impressum </a> </li> <li> <a href="https://hfrc.org/de/datenschutz" class="px-3 py-2 text-current hover:text-white transition"> Datenschutz </a> </li> </ul> </div> </div> <script src="https://cdn.usefathom.com/script.js" data-site="ZFDANEOW" defer=""></script> </body></html>
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