📑 وبینار: Machine learning applications in Asset Pricing
Why do some stocks have higher average returns than others? Which characteristics of stocks lead to higher or lower average returns? These are central questions in Asset Pricing. In a world where a huge amount of information is available, Machine Learning plays a crucial role in answering these questions. In this talk, I shed light on some of the frontiers of Machine Learning applications in Asset Pricing, and I delve into the detail of one of my recent papers: “Neighbouring Assets”. [paper link]
📑 وبینار: Machine learning applications in Asset Pricing
Why do some stocks have higher average returns than others? Which characteristics of stocks lead to higher or lower average returns? These are central questions in Asset Pricing. In a world where a huge amount of information is available, Machine Learning plays a crucial role in answering these questions. In this talk, I shed light on some of the frontiers of Machine Learning applications in Asset Pricing, and I delve into the detail of one of my recent papers: “Neighbouring Assets”. [paper link]
Telegram users are able to send files of any type up to 2GB each and access them from any device, with no limit on cloud storage, which has made downloading files more popular on the platform. Messages are not fully encrypted by default. That means the company could, in theory, access the content of the messages, or be forced to hand over the data at the request of a government. The Russian invasion of Ukraine has been a driving force in markets for the past few weeks. The regulator said it had received information that messages containing stock tips and other investment advice with respect to selected listed companies are being widely circulated through websites and social media platforms such as Telegram, Facebook, WhatsApp and Instagram. The SC urges the public to refer to the SC’s I nvestor Alert List before investing. The list contains details of unauthorised websites, investment products, companies and individuals. Members of the public who suspect that they have been approached by unauthorised firms or individuals offering schemes that promise unrealistic returns
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