The measurement of volatility is of fundamental importance in finance. The standard market practice adopted for the computation of a volatility index imposes to discard some option prices quoted in the market, resulting in a considerable loss of information. To overcome this drawback, we propose to resort to fuzzy regression methods in order to include all the available information and obtain an informative volatility index for the Italian stock market.
Towards a Fuzzy Volatility Index for the Italian Market / Muzzioli, Silvia; Gambarelli, Luca; De Baets, Bernard. - (2017). (Intervento presentato al convegno IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS (FUZZ-IEEE 2017 ) tenutosi a Napoli nel LUGLIO 9-12, 2017).
Towards a Fuzzy Volatility Index for the Italian Market
MUZZIOLI, Silvia;GAMBARELLI, LUCA;
2017
Abstract
The measurement of volatility is of fundamental importance in finance. The standard market practice adopted for the computation of a volatility index imposes to discard some option prices quoted in the market, resulting in a considerable loss of information. To overcome this drawback, we propose to resort to fuzzy regression methods in order to include all the available information and obtain an informative volatility index for the Italian stock market.File | Dimensione | Formato | |
---|---|---|---|
2017 con ISSN atto convegno MGDB FUZZIEEE2017.pdf
Accesso riservato
Descrizione: versione pubblicata
Tipologia:
VOR - Versione pubblicata dall'editore
Dimensione
868.35 kB
Formato
Adobe PDF
|
868.35 kB | Adobe PDF | Visualizza/Apri Richiedi una copia |
Pubblicazioni consigliate
I metadati presenti in IRIS UNIMORE sono rilasciati con licenza Creative Commons CC0 1.0 Universal, mentre i file delle pubblicazioni sono rilasciati con licenza Attribuzione 4.0 Internazionale (CC BY 4.0), salvo diversa indicazione.
In caso di violazione di copyright, contattare Supporto Iris