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📢 انجمن‌های علمی علوم کامپیوتر و اقتصاد 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.

@CS_Talks_UT
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📢 انجمن‌های علمی علوم کامپیوتر و اقتصاد 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.

@CS_Talks_UT

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Telegram is riding high, adding tens of million of users this year. Now the bill is coming due.Telegram is one of the few significant social-media challengers to Facebook Inc., FB -1.90% on a trajectory toward one billion users active each month by the end of 2022, up from roughly 550 million today.

What is Telegram Possible Future Strategies?

Cryptoassets enthusiasts use this application for their trade activities, and they may make donations for this cause.If somehow Telegram do run out of money to sustain themselves they will probably introduce some features that will not hinder the rudimentary principle of Telegram but provide users with enhanced and enriched experience. This could be similar to features where characters can be customized in a game which directly do not affect the in-game strategies but add to the experience.

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📢 انجمن‌های علمی علوم کامپیوتر و اقتصاد دانشگاه تهران برگزار می‌کنند:📑 وبینار:Machine learning applications in Asset PricingWhy 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

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