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Volumn 12, Issue 4, 2001, Pages 716-725

Risk-neutral density extraction from option prices: Improved pricing with mixture density networks

Author keywords

Hedging; Mixture density networks; Options; Pricing; Risk neutral densities

Indexed keywords

COMPUTER SIMULATION; ECONOMICS; FINANCE; MATHEMATICAL MODELS; MONTE CARLO METHODS; PROBABILITY DISTRIBUTIONS; RANDOM PROCESSES;

EID: 0035391630     PISSN: 10459227     EISSN: None     Source Type: Journal    
DOI: 10.1109/72.935085     Document Type: Article
Times cited : (24)

References (24)
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  • 10
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    • Neural networks versus Black-Scholes: An empirical comparison of the pricing accuracy of two fundamentally different option pricing methods
    • (1999) J. Comput. Intell. Finance , vol.5 , pp. 26-34
    • Hanke, M.1
  • 11
    • 0037836721 scopus 로고
    • A closed-form solution for options with stochastic volatility with applications to bond and currency options
    • (1993) Rev. Financial Studies , vol.6 , pp. 327-343
    • Heston, S.1
  • 17
    • 0001898990 scopus 로고    scopus 로고
    • Estimating the probability distribution of the future exchange rate from option prices
    • Winter
    • (1997) J. Derivatives , pp. 18-36
    • Malz, A.M.1
  • 20
    • 0001487603 scopus 로고    scopus 로고
    • How important is the correlation between returns and volatility in a stochastic volatility model? Empirical evidence from pricing and hedging in the S&P 500 index options market
    • (1998) J. Banking Finance , vol.22 , pp. 589-610
    • Nandi, S.1
  • 22
    • 0033485912 scopus 로고    scopus 로고
    • A regularization approach to continuous learning with an application to financial derivatives pricing
    • (1999) Neural Networks , vol.12 , pp. 1405-1412
    • Ormoneit, D.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.