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Autor(en): 
  • Palomar Daniel P.
  • Portfolio Optimization: Theory and Application 
     

    (Buch)
    Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 3 Artikel!


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   Auf Bestellung (Lieferzeit unbekannt)
    Veröffentlichung:  Juni 2025  
    Genre:  Schulbücher 
     
    Econometrics / Econometrics and economic statistics / Economic statistics / Finance / Financial technology (fintech) / For graduate / post-graduate and equivalents / For undergraduate education and equivalents / MATHEMATICS / Applied
    ISBN:  9781009428088 
    EAN-Code: 
    9781009428088 
    Verlag:  Cambridge Academic 
    Einband:  Gebunden  
    Sprache:  English  
    Dimensionen:  H 254 mm / B 178 mm / D 33 mm 
    Gewicht:  1401 gr 
    Illustration:  Worked examples or Exercises 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    This comprehensive guide to the world of financial data modeling and portfolio design is a must-read for anyone looking to understand and apply portfolio optimization in a practical context. It bridges the gap between mathematical formulations and the design of practical numerical algorithms. It explores a range of methods, from basic time series models to cutting-edge financial graph estimation approaches. The portfolio formulations span from Markowitz's original 1952 mean-variance portfolio to more advanced formulations, including downside risk portfolios, drawdown portfolios, risk parity portfolios, robust portfolios, bootstrapped portfolios, index tracking, pairs trading, and deep-learning portfolios. Enriched with a remarkable collection of numerical experiments and more than 200 figures, this is a valuable resource for researchers and finance industry practitioners. With slides, R and Python code examples, and exercise solutions available online, it serves as a textbook for portfolio optimization and financial data modeling courses, at advanced undergraduate and graduate level.

      
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