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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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Just days after Russia invaded Ukraine, Durov wrote that Telegram was "increasingly becoming a source of unverified information," and he worried about the app being used to "incite ethnic hatred." In the United States, Telegram's lower public profile has helped it mostly avoid high level scrutiny from Congress, but it has not gone unnoticed. "Someone posing as a Ukrainian citizen just joins the chat and starts spreading misinformation, or gathers data, like the location of shelters," Tsekhanovska said, noting how false messages have urged Ukrainians to turn off their phones at a specific time of night, citing cybersafety. The War on Fakes channel has repeatedly attempted to push conspiracies that footage from Ukraine is somehow being falsified. One post on the channel from February 24 claimed without evidence that a widely viewed photo of a Ukrainian woman injured in an airstrike in the city of Chuhuiv was doctored and that the woman was seen in a different photo days later without injuries. The post, which has over 600,000 views, also baselessly claimed that the woman's blood was actually makeup or grape juice. Some privacy experts say Telegram is not secure enough
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