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estimation and may thus find a variety of applications, two of which are illustrated briefly: Estimation of Value at Risk based … on approximations to the density of stock returns; Recovering risk neutral densities for the valuation of options from …
Persistent link: https://www.econbiz.de/10010503730
Neural networks (NN) and fuzzy logic systems (FLS) are used successfully for financial forecasting, credit rating and portfolio management. In search for more sophisticated modeling techniques a mixture of NN and FLS has proved to be worth consideration. We propose the novel constructive...
Persistent link: https://www.econbiz.de/10010504308
The basic model of financial economics is the Samuelson model of geometric Brownian motion because of the celebrated Black-Scholes formula for pricing the call option. The asset's volatility is a linear function of the asset value and the model garantees positive asset prices. In this paper it...
Persistent link: https://www.econbiz.de/10011539634
A nonlinear Black-Scholes equation which models transaction costs arising in the hedging of portfolios is discretized semi-implicitly using high order compact finite difference schemes. In particular, the compact schemes of Rigal are generalized. The numerical results are compared to standard...
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risk averse agents buy the bond and sell the share and the option, whereas the less risk averse agents buy the option and …
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In this paper we apply statistical inference techniques to build neural network models which are able to explain the prices of call options written on the German stock index DAX. By testing for the explanatory power of several input variables serving as network inputs, some insight into the...
Persistent link: https://www.econbiz.de/10011622006