Option pricing using RBFN인공신경망을 활용한 옵션가격결정

Cited 0 time in webofscience Cited 0 time in scopus
  • Hit : 695
  • Download : 0
Option pricing may be one of the most important issues in the trading market. In their 1973 paper, The Pricing of Options and Corporate Liabilities, Fischer Black and Myron Scholes published an option valuation formula that today is known as the Black-Scholes model. It has become the standard method of pricing options. And the large number of market participants use it. It is regarded as the most effective parametric model, but there are some assumptions that is inconsistent with real market. So it`s impossible with BS model to predict exact option price. So in this thesis we get the RBFN learning how option price and the other inputs are related. And furthermore we suggest the hybrid model mixed up Black-Scholes and RBFN.
Advisors
Kang, Wan-Moresearcher강완모researcherKil, Rhee-Manresearcher길이만researcher
Description
한국과학기술원 : 수리과학과,
Publisher
한국과학기술원
Issue Date
2009
Identifier
308741/325007  / 020073461
Language
eng
Description

학위논문(석사) - 한국과학기술원 : 수리과학과, 2009.2, [ vii, 40 p. ]

Keywords

option; price; RBFN; neural; network; 옵션; 가격; 인공지능; 알고리즘; 네트워크; option; price; RBFN; neural; network; 옵션; 가격; 인공지능; 알고리즘; 네트워크

URI
http://hdl.handle.net/10203/42208
Link
http://library.kaist.ac.kr/search/detail/view.do?bibCtrlNo=308741&flag=dissertation
Appears in Collection
MA-Theses_Master(석사논문)
Files in This Item
There are no files associated with this item.

qr_code

  • mendeley

    citeulike


rss_1.0 rss_2.0 atom_1.0