Recently several authors focused their attention on Acceptability Indexes and their applications to Finance. The AI notion turns out to be quite flexible and several applications in different directions have been proposed. In particular, in a recent paper by A. Cerny and D. Madan illiquid markets are modelled via AI and bid and ask prices are described through a "Conic Finance"approach. A different approach of dynamic type to bid and ask prices has been suggested by J. Bion-Nadal , taking into account both transaction costs and liquidity risk, and based on Time Consistent Pricing Procedures. The purpose of the present paper is to suggest a further link between AI and risk measures based on the notion of g-expectation, and to fill the gap between the static description of liquidity introduced by J.M. Corcuera et al. and the dynamic description provided by Bion-Nadal by using the theory of g-expectations.

Acceptability indexes via g-expectations: an application to liquidity risk.

SGARRA, CARLO
2013-01-01

Abstract

Recently several authors focused their attention on Acceptability Indexes and their applications to Finance. The AI notion turns out to be quite flexible and several applications in different directions have been proposed. In particular, in a recent paper by A. Cerny and D. Madan illiquid markets are modelled via AI and bid and ask prices are described through a "Conic Finance"approach. A different approach of dynamic type to bid and ask prices has been suggested by J. Bion-Nadal , taking into account both transaction costs and liquidity risk, and based on Time Consistent Pricing Procedures. The purpose of the present paper is to suggest a further link between AI and risk measures based on the notion of g-expectation, and to fill the gap between the static description of liquidity introduced by J.M. Corcuera et al. and the dynamic description provided by Bion-Nadal by using the theory of g-expectations.
2013
Liquidity Risk; Acceptability Indexes; g-Expectations; Convex Risk Measures
File in questo prodotto:
File Dimensione Formato  
Rosazza_Sgarra_MAFE.pdf

Accesso riservato

: Post-Print (DRAFT o Author’s Accepted Manuscript-AAM)
Dimensione 752.93 kB
Formato Adobe PDF
752.93 kB Adobe PDF   Visualizza/Apri
Abstract_Rosazza_Sgarra_MAFE.doc

Accesso riservato

: Altro materiale allegato
Dimensione 24 kB
Formato Microsoft Word
24 kB Microsoft Word   Visualizza/Apri

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/11311/753001
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 12
  • ???jsp.display-item.citation.isi??? 9
social impact