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📢 انجمن‌های علمی اقتصاد و علوم کامپیوتر دانشگاه تهران برگزار می‌کنند:

📑 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]

👤 ارائه‌دهنده: سینا سیفی
دانشجو دکترا مالی دانشگاه Aalto فنلاند [بیشتر]

📅 شنبه ۱۹ آبان | ساعت ۱۹:۰۰
🕑 مدت ارائه ۷۵ دقیقه + پرسش و پاسخ

🏷 وبینار به زبان فارسی و در بستر Zoom برگزار خواهد شد.

🔖 وبینار رایگان و حضور برای عموم آزاد می‌باشد.

🏷 برای شرکت در وبینار ثبت‌نام الزامی است.

🆔 @anjomaneghtesad



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📢 انجمن‌های علمی اقتصاد و علوم کامپیوتر دانشگاه تهران برگزار می‌کنند:

📑 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]

👤 ارائه‌دهنده: سینا سیفی
دانشجو دکترا مالی دانشگاه Aalto فنلاند [بیشتر]

📅 شنبه ۱۹ آبان | ساعت ۱۹:۰۰
🕑 مدت ارائه ۷۵ دقیقه + پرسش و پاسخ

🏷 وبینار به زبان فارسی و در بستر Zoom برگزار خواهد شد.

🔖 وبینار رایگان و حضور برای عموم آزاد می‌باشد.

🏷 برای شرکت در وبینار ثبت‌نام الزامی است.

🆔 @anjomaneghtesad

BY انجمن علمی اقتصاد دانشگاه تهران




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Multiple pro-Kremlin media figures circulated the post's false claims, including prominent Russian journalist Vladimir Soloviev and the state-controlled Russian outlet RT, according to the DFR Lab's report. READ MORE Since its launch in 2013, Telegram has grown from a simple messaging app to a broadcast network. Its user base isn’t as vast as WhatsApp’s, and its broadcast platform is a fraction the size of Twitter, but it’s nonetheless showing its use. While Telegram has been embroiled in controversy for much of its life, it has become a vital source of communication during the invasion of Ukraine. But, if all of this is new to you, let us explain, dear friends, what on Earth a Telegram is meant to be, and why you should, or should not, need to care. Emerson Brooking, a disinformation expert at the Atlantic Council's Digital Forensic Research Lab, said: "Back in the Wild West period of content moderation, like 2014 or 2015, maybe they could have gotten away with it, but it stands in marked contrast with how other companies run themselves today." 'Wild West'
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