We consider a mean-variance hedging (MVH) problem for an arbitrage-free large financial market, that is, a financial market with countably many risky assets modelled by a sequence of continuous semimartingales. By using the stochastic integration theory for a sequence of semimartingales developed in De Donno and Pratelli [6], we extend the results about change of numeraire and MVH of Gourieroux et al. [12] to this setting. We also consider, for all n ≥ 1, the market formed by the first n risky assets and study the solutions to the corresponding n-dimensional MVH problem and their behaviour when n tends to infinity.

Mean-variance hedging in large financial markets / L. Campi. - In: STOCHASTIC ANALYSIS AND APPLICATIONS. - ISSN 0736-2994. - 27:6(2009), pp. 1129-1147.

Mean-variance hedging in large financial markets

L. Campi
2009

Abstract

We consider a mean-variance hedging (MVH) problem for an arbitrage-free large financial market, that is, a financial market with countably many risky assets modelled by a sequence of continuous semimartingales. By using the stochastic integration theory for a sequence of semimartingales developed in De Donno and Pratelli [6], we extend the results about change of numeraire and MVH of Gourieroux et al. [12] to this setting. We also consider, for all n ≥ 1, the market formed by the first n risky assets and study the solutions to the corresponding n-dimensional MVH problem and their behaviour when n tends to infinity.
Artificial extension method; Hedging; Large financial market; Numeraire; Stochastic integral for a sequence of semimartingales
Settore MAT/06 - Probabilita' e Statistica Matematica
2009
Article (author)
File in questo prodotto:
File Dimensione Formato  
SAP-Campi-FINAL-051807.pdf

accesso aperto

Tipologia: Pre-print (manoscritto inviato all'editore)
Dimensione 184.98 kB
Formato Adobe PDF
184.98 kB Adobe PDF Visualizza/Apri
Mean Variance Hedging in Large Financial Markets.pdf

accesso riservato

Tipologia: Publisher's version/PDF
Dimensione 305.45 kB
Formato Adobe PDF
305.45 kB Adobe PDF   Visualizza/Apri   Richiedi una copia
Pubblicazioni consigliate

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2434/751165
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 3
  • ???jsp.display-item.citation.isi??? 3
social impact