Pregled bibliografske jedinice broj: 378263
Friends or Foes : a Story of Value at Risk and Expected Tail Loss
Friends or Foes : a Story of Value at Risk and Expected Tail Loss // Young Economists' Seminar to 14th Dubrovnik Economic : Conference Proceedings
Zagreb: Hrvatska narodna banka, 2008. str. 1-27 (pozvano predavanje, međunarodna recenzija, cjeloviti rad (in extenso), stručni)
CROSBI ID: 378263 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Friends or Foes : a Story of Value at Risk and Expected Tail Loss
Autori
Žiković, Saša
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), stručni
Izvornik
Young Economists' Seminar to 14th Dubrovnik Economic : Conference Proceedings
/ - Zagreb : Hrvatska narodna banka, 2008, 1-27
Skup
Dubrovnik Economic Conference (14 ; 2008)
Mjesto i datum
Dubrovnik, Hrvatska, 25.06.2008. - 29.06.2008
Vrsta sudjelovanja
Pozvano predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
coherent risk measures; expected tail loss; value at risk; extreme value theory; bootstrapping
Sažetak
Since the introduction by Artzner (1997, 1999) of coherent risk measures and the new dawn of measuring extreme losses it seems as if the academic community is willing to sacrifice and erase all the advances made in the field of measuring VaR. Expected tail loss (ETL) as a risk measure is superior to VaR since VaR is not a coherent risk measure, in that it does not encourage diversification and completely ignores extreme events. On the other hand, sophistication of VaR models has reached formidable levels, while ETL estimation is still in its beginnings and usually it is calculated via parametric approach based on Generalized extreme value distribution or nonparametric approaches such as fitting kernels to historical simulation. I propose using advanced VaR calculation techniques to produce superior ETL forecasts that are reactive to changes in volatility levels, do not presume any theoretical distribution of the tails and are not limited to the historical data set. The proposed ETL measure is semi-parametric in its nature and uses volatility transformed tail data. The paper also proposes a new loss function that relates tail losses to ETL forecasts. Testing of VaR and ETL models is performed on US and European stock indexes (DOW JONES, NASDAQ, S&P500 (US), FTSE (Great Britain), DAX (Germany) and CAC (France)).
Izvorni jezik
Engleski
Znanstvena područja
Ekonomija
POVEZANOST RADA
Projekti:
081-0000000-1264 - Strategija ekonomsko-socijalnih odnosa hrvatskog društva (Blažić, Helena, MZOS ) ( CroRIS)
Ustanove:
Ekonomski fakultet, Rijeka