Federico Severino, Université Laval

Research

financial bubbles motif discovery machine learning noncausal processes functional data analysis time series forecasting (1) financial bubbles

Latest funding

Bubble detection in time series via functional motif discovery
SSHRC · 2020 · Principal investigator
$60,550

All 1 grants and awards

Bubble detection in time series via functional motif discovery

Principal investigatorSSHRC2020Insight Development Grant

Principal investigators: Severino, Federico

Keywords: financial bubbles; motif discovery; machine learning; noncausal processes; functional data analysis; time series; forecasting

$60,550

From CIHR, NSERC and SSHRC funding decisions: CIHR since 2008, NSERC since 1991 and SSHRC since 1998, including their latest published competition results.

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Applying for

Mention their SSHRC grant from 2020

Subject: Prospective PhD student: financial bubbles Dear Professor Severino, My name is [your name], and I am a [your current degree or role] at [your institution]. I am applying for a PhD position starting in [term and year]. Your research on financial bubbles connects closely to my own work on [your research topic]. [One or two sentences on what you did and what you learned.] I also saw your SSHRC-funded project "Bubble detection in time series via functional motif discovery" (2020), and I would be glad to contribute to work in that direction. Are you accepting new PhD students for [term and year]? I have attached my CV and transcripts, and I would be glad to talk at a time that suits you. Thank you for your time. Kind regards, [your name]