Luiss seminar, dott. Marco Bianchetti
Dear all, on October 18 at 12 in Room 207, Marco Bianchetti, Unicredit, Head of Fair valuation and Financial risk models will give the following seminar: Title: "Bitcoin, Brexit and other Bubble Stories - Evidence from Quantitative Models" Abstract "We develop a bubble detection methodology based on a combination of quantitative models, calibration approaches, global stochastic optimization algorithms, and sentiment analysis. We apply such methodology to a variety of financial data related to cryptocurrency, Brexit and tech bubbles, confirming ex-ante a number of bubble events actually observed ex-post." -- Sara Biagini, Professor of Mathematical Finance Department of Economics and Finance LUISS Guido Carli Address: viale Romania, 32 - 00197 Roma Web: http://sites.google.com/site/sarabiagini/
lavoro a Intesa Sanpaolo, per favore correggete Il giorno ven 14 set 2018 alle ore 10:29 Sara <sara.biagini@gmail.com> ha scritto:
Dear all,
on October 18 at 12 in Room 207, Marco Bianchetti, Unicredit, Head of Fair valuation and Financial risk models
will give the following seminar:
Title: "Bitcoin, Brexit and other Bubble Stories - Evidence from Quantitative Models"
Abstract "We develop a bubble detection methodology based on a combination of quantitative models, calibration approaches, global stochastic optimization algorithms, and sentiment analysis. We apply such methodology to a variety of financial data related to cryptocurrency, Brexit and tech bubbles, confirming ex-ante a number of bubble events actually observed ex-post."
-- Sara Biagini, Professor of Mathematical Finance Department of Economics and Finance LUISS Guido Carli Address: viale Romania, 32 - 00197 Roma Web: http://sites.google.com/site/sarabiagini/
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Dear all, on October 18 at 12 in Room 207, Marco Bianchetti, Intesa SanPaolo, Head of Fair value policy will give the following seminar: Title: "Bitcoin, Brexit and other Bubble Stories - Evidence from Quantitative Models" Abstract "We develop a bubble detection methodology based on a combination of quantitative models, calibration approaches, global stochastic optimization algorithms, and sentiment analysis. We apply such methodology to a variety of financial data related to cryptocurrency, Brexit and tech bubbles, confirming ex-ante a number of bubble events actually observed ex-post." -- Sara Biagini, Professor of Mathematical Finance Department of Economics and Finance LUISS Guido Carli Address: viale Romania, 32 - 00197 Roma Web: http://sites.google.com/site/sarabiagini/ -- Sara Biagini, Professor of Mathematical Finance Department of Economics and Finance LUISS Guido Carli Address: viale Romania, 32 - 00197 Roma Web: http://sites.google.com/site/sarabiagini/
participants (2)
-
Marco Bianchetti -
Sara