LEADER 01302nam0 2200313 i 450 
001 SUN0113923
005 20180123110329.327
010   $d0.00
017 70$2N$a978-3-658-09389-1
100   $a20180123d2015       |0engc50      ba
101   $aeng
102   $aDE
105   $a||||M   |||||
200 1 $a*Risk estimation on high frequency financial data$eempirical analysis of the DAX 30$fFlorian Jacob
205   $aWiesbaden : Springer spektrum, 2015
210   $aXI$d70 p.$cill. ; 24 cm
215   $aPubblicazione in formato elettronico
410  1$1001SUN0113924$12001 $a*BestMasters$1210  $aBerlin$cSpringer.
606   $a91B05$xRisk models (general)  [MSC 2020]$2MF$3SUNC019981
606   $a91Gxx$xActuarial science and mathematical finance [MSC 2020]$2MF$3SUNC020093
620   $aDE$dWiesbaden$3SUNL000457
700  1$aJacob$b, Florian$3SUNV088014$0755696
712   $aSpringer$3SUNV000178$4650
801   $aIT$bSOL$c20210503$gRICA
856 4 $uhttp://dx.doi.org/10.1007/978-3-658-09389-1
912   $aSUN0113923
950   $aUFFICIO DI BIBLIOTECA DEL DIPARTIMENTO DI MATEMATICA E FISICA$d08CONS      e-book                  0416        $e08eMF416               20180123            
996   $aRisk estimation on high frequency financial data$91522850
997   $aUNICAMPANIA