Asset pricing : modeling and estimation

The modern field of asset pricing asks for sound pricing models grounded on the theory of financial economics as well as for accurate estimation techniques when it comes to empirical inferences of the specified model. This book provides a canonical framework that shows how to bridge the gap between...

Fuld beskrivelse

Đã lưu trong:
Bibliografiske detaljer
Hovedforfatter: Kellerhals, B. Philipp
Format: Bog
Sprog:Undetermined
Udgivet: Berlin,New York Springer 2004
Fag:
Tags: Tilføj Tag
Ingen Tags, Vær først til at tagge denne postø!
Thư viện lưu trữ: Trung tâm Học liệu Trường Đại học Cần Thơ
LEADER 01613nam a2200229Ia 4500
001 CTU_153023
008 210402s9999 xx 000 0 und d
020 |c 89.11 
082 |a 332.6 
082 |b K29 
100 |a Kellerhals, B. Philipp 
245 0 |a Asset pricing : 
245 0 |b modeling and estimation 
245 0 |c B. Philipp Kellerhals. 
260 |a Berlin,New York 
260 |b Springer 
260 |c 2004 
520 |a The modern field of asset pricing asks for sound pricing models grounded on the theory of financial economics as well as for accurate estimation techniques when it comes to empirical inferences of the specified model. This book provides a canonical framework that shows how to bridge the gap between the continuous-time pricing practice in financial engineering and the capital market data inevitably only available at discrete-time intervals. Starting with a comprehensive treatment of the particular stochastic modeling and econometric estimation framework, the main parts of the book cover applications to risky assets traded on the markets for funds, fixed-income products and electricity derivatives. The second edition newly incorporates the financial modeling chapter which elaborates on the vital PDE- and EMM-approaches. The reorganized and improved text further integrates the latest research contributions in the three covered application fields. 
650 |a Finance,Assets (Accounting),Tài chính 
650 |x Mathematical models, Prices,Econometric models,Mô hình toán 
904 |i Năm 
980 |a Trung tâm Học liệu Trường Đại học Cần Thơ