46,95 €
46,95 €
inkl. MwSt.
Sofort per Download lieferbar
payback
23 °P sammeln
46,95 €
46,95 €
inkl. MwSt.
Sofort per Download lieferbar

Alle Infos zum eBook verschenken
payback
23 °P sammeln
Als Download kaufen
46,95 €
inkl. MwSt.
Sofort per Download lieferbar
payback
23 °P sammeln
Jetzt verschenken
46,95 €
inkl. MwSt.
Sofort per Download lieferbar

Alle Infos zum eBook verschenken
payback
23 °P sammeln
  • Format: ePub

This text develops students' professional skills in statistics with applications in finance. It bridges the gap between classical, rigorous treatments of financial mathematics that rarely connect concepts to data and books on econometrics and time series analysis that do not cover specific problems related to option valuation. The authors explain how various statistical and mathematical tools are used to price financial derivatives, identify interest rate models, and much more. The book includes examples, case studies, cross references, and end-of-chapter problems.

  • Geräte: eReader
  • mit Kopierschutz
  • eBook Hilfe
  • Größe: 44.06MB
Produktbeschreibung
This text develops students' professional skills in statistics with applications in finance. It bridges the gap between classical, rigorous treatments of financial mathematics that rarely connect concepts to data and books on econometrics and time series analysis that do not cover specific problems related to option valuation. The authors explain how various statistical and mathematical tools are used to price financial derivatives, identify interest rate models, and much more. The book includes examples, case studies, cross references, and end-of-chapter problems.


Dieser Download kann aus rechtlichen Gründen nur mit Rechnungsadresse in A, B, BG, CY, CZ, D, DK, EW, E, FIN, F, GR, HR, H, IRL, I, LT, L, LR, M, NL, PL, P, R, S, SLO, SK ausgeliefert werden.

Autorenporträt
Erik Lindström is an associate professor in the Centre for Mathematical Sciences at Lund University. His research ranges from statistical methodology (primarily time series analysis in discrete and continuous time) to financial mathematics as well as problems related to energy markets. He earned a PhD in mathematical statistics from Lund Institute of Technology/Lund University.

Henrik Madsen is a professor and head of the Section for Dynamical Systems in the Department for Applied Mathematics and Computer Sciences at the Technical University of Denmark. An elected member of the ISI and IEEE, he has authored or co-authored 480 papers and 11 books in areas including mathematical statistics, time series analysis, and the integration of renewables in electricity markets. He earned a PhD in statistics from the Technical University of Denmark.

Jan Nygaard Nielsen is a principal architect at Netcompany, a Danish IT and business consulting firm. He earned a PhD from the Technical University of Denmark.