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Signal Extractions in Financial Analysis by haouamaidadi0 is a document available to read on EtoBox.

This document is a PhD thesis presented by Clément Goulet at Université Paris I Panthéon-Sorbonne, focusing on signal extraction techniques with applications in finance. It discusses various mathematical tools, including wavelet theory and quantile regressions, and explores topics such as intra-industry volatility spillovers around earnings announcements and noise removal methods in financial data. The thesis aims to contribute to both applied mathematics and econometrics in finance through its analysis and

Author
haouamaidadi0
Language
EN