Multi-factor models and signal processing techniques: application to quantitative finance
Darolles, Serge; Duvaut, Patrick; Jay, Emmanuelle (2013), Multi-factor models and signal processing techniques: application to quantitative finance, ISTE ; J. Wiley : London ; Hoboken, NJ, p. 184. http://dx.doi.org/10.1002/9781118577387
Type
OuvrageDate
2013Publisher
ISTE ; J. Wiley
Series title
Digital signal and image processing seriesPublished in
London ; Hoboken, NJ
ISBN
978-1-84821-419-4
Pages
184
Publication identifier
Metadata
Show full item recordAbstract (EN)
With recent outbreaks of multiple large-scale financial crises, amplified by interconnected risk sources, a new paradigm of fund management has emerged. This new paradigm leverages "embedded" quantitative processes and methods to provide more transparent, adaptive, reliable and easily implemented "risk assessment-based" practices. This book surveys the most widely used factor models employed within the field of financial asset pricing. Through the concrete application of evaluating risks in the hedge fund industry, the authors demonstrate that signal processing techniques are an interesting alternative to the selection of factors (both fundamentals and statistical factors) and can provide more efficient estimation procedures, based on lq regularized Kalman filtering for instance. With numerous illustrative examples from stock markets, this book meets the needs of both finance practitioners and graduate students in science, econometrics and finance.Subjects / Keywords
Finances; Modèles mathématiques; Modèle de fixation du prix des actifs; Traitement du signalRelated items
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