Скачать или смотреть AI & Machine Learning in Finance: The Virtue of Complexity in Financial Machine Learning

AI & Machine Learning in Finance: The Virtue of Complexity in Financial Machine Learning

FinanceResearchAI researchAI in financeMachine learningArtificial intelligenceSwedish House of FinanceFinance Swedenfinancial researchfinance researchfinancial economicsAI asset managementAI asset pricingAI investmentSara Öhrvallbryan kellyasset management

Скачать AI & Machine Learning in Finance: The Virtue of Complexity in Financial Machine Learning бесплатно в качестве 4к (2к / 1080p)

У нас вы можете скачать бесплатно AI & Machine Learning in Finance: The Virtue of Complexity in Financial Machine Learning или посмотреть видео с ютуба в максимальном доступном качестве.

Для скачивания выберите вариант из формы ниже:

Информация по загрузке:

Cкачать музыку AI & Machine Learning in Finance: The Virtue of Complexity in Financial Machine Learning бесплатно в формате MP3:

Если иконки загрузки не отобразились, ПОЖАЛУЙСТА, НАЖМИТЕ ЗДЕСЬ или обновите страницу
Если у вас возникли трудности с загрузкой, пожалуйста, свяжитесь с нами по контактам, указанным в нижней части страницы.
Спасибо за использование сервиса video2dn.com

Описание к видео AI & Machine Learning in Finance: The Virtue of Complexity in Financial Machine Learning

#artificialintelligence #machinelearning #financeresearch

Using AI and Machine learning in asset pricing and asset management is in the midst of a boom. But are portfolios based on these richly parameterized models well understood?

In this video, Bryan Kelly, Professor of Finance at Yale School of Management and Head of Machine Learning at AQR Capital Management, talks about the behavior of return prediction models in a high complexity regime and the ability of high complex models to predict recessions.

Stay up to date on financial research!
Sign-up to the Swedish House of Finance #newsletter to take part of events, listen to interviews with leading experts, and keep informed on relevant policy issues: https://bit.ly/394CT4Z

Комментарии

Информация по комментариям в разработке