Causal Machine Learning for Alpha Decay Detection

Lingua: inglese

Editore: Djamel Lekbir, 2026

9798235790711

Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH

Venditore con 5 stelle

Venditore AbeBooks dal 14 agosto 2006

Brossura

Condizione: Nuovo

EUR 11,13

EUR 35,00 spedizione 
Spedito da Germania a U.S.A.

Quantità: 2 disponibili

Aggiungi al carrello
Resi gratuiti per 30 giorni

Descrizione dell’articolo da parte del venditore

nach der Bestellung gedruckt Neuware - Printed after ordering - Causal Machine Learning for Alpha Decay Detection presents a rigorous framework for applying causal machine learning to one of the central challenges in quantitative finance: determining whether an apparent source of investment alpha represents a genuine, persistent causal effect-or merely a transient correlation that eventually disappears.Financial markets generate enormous volumes of high-dimensional data, yet conventional predictive models can struggle to distinguish genuine economic relationships from spurious patterns, regime-dependent effects, and statistical noise. This book approaches the problem from a causal perspective, combining modern machine-learning techniques with econometric principles to investigate why alpha emerges, when it decays, and how its persistence can be evaluated systematically.The book develops and connects several advanced methodologies, including Honest Causal Forests, Double Machine Learning (DML), and Targeted Maximum Likelihood Estimation (TMLE). These methods provide complementary tools for estimating heterogeneous treatment effects, controlling for high-dimensional confounding, and obtaining robust causal estimates.Particular attention is given to alpha decay detection: identifying changes in the causal effectiveness of signals over time, distinguishing structural deterioration from temporary market fluctuations, and developing evidence-based criteria for determining whether a strategy remains economically meaningful.Designed for researchers, quantitative analysts, financial engineers, data scientists, and advanced students, the book bridges causal inference, machine learning, and quantitative finance. Its objective is not simply to predict market outcomes, but to move from prediction toward explanation-providing a methodological foundation for understanding what truly works, why it works, and when it stops working.…

Codice articolo 9798235790711

Titolo
Causal Machine Learning for Alpha Decay Detection
Autore
Djamel Lekbir
Editore
Djamel Lekbir
Anno di pubblicazione
2026
Condizione
Neu
Rilegatura
Taschenbuch
Lingua
inglese
ISBN 13
9798235790711
Peso dell'articolo
145 grammi
Dimensioni
216x140x6 mm

AHA-BUCH GmbH

Einbeck, Germania

Venditore con 5 stelle

Venditore AbeBooks dal 14 agosto 2006

Tariffe di spedizione da Germania a U.S.A.

ArticoloDa 7 a 10 giorni lavorativiDa 5 a 7 giorni lavorativi
Primo articoloEUR 35,00EUR 45,00
I tempi di consegna sono stabiliti dai venditori e variano in base al corriere e al paese. Gli ordini che devono attraversare una dogana possono subire ritardi e spetta agli acquirenti pagare eventuali tariffe o dazi associati. I venditori possono contattarti in merito ad addebiti aggiuntivi dovuti a eventuali maggiorazioni dei costi di spedizione dei tuoi articoli.

Metodi di pagamento

  • Visa
  • Mastercard
  • American Express
  • Carte Bleue
  • Apple Pay
  • Google Pay
  • Assegno
  • Bonifico bancario
  • PayPal

Descrizione dello Store

Das Unternehmen AHA-BUCH GmbH: Seit der Gründung von AHA-BUCH im Juli 2005 ist unser Hauptziel, zufriedenen Kunden so schnell und so preisgünstig wie möglich ihren Bücherwunsch zu erfüllen. Unsere Firma beschäftigt 16 Mitarbeiter, die nur ein Ziel kennen: den Kunden und seine Wünsche! Auf über 3700 m2 Fläche haben wir über 100.000 Bücher, Modernes Antiquariat und Spiele auf Lager.

Specializzazione

Kinderbücher & Kinderhör Casetten, German Books, Software, Natur & Tiere, Ratgeber, Sachbücher, Englische Bücher, Medizin & Gesundheit, Universität & Studium

Informazioni sull’azienda del venditore

AHA-BUCH GmbH

Garlebsen 48
Einbeck, Germania 37574