Carte Forecasting Exchange rate AK Dhamija

Forecasting Exchange rate

Use of Neural Networks in Quantitative Finance

Autor: AK Dhamija
Limbă: engleză
Legare: Carte broșată
Disponibilitate: La editor doar la comandă
Expediem în 17-27 zile
305.07 lei
Neural network methods, coming from the brain science of cognitive theory and neurophysiology, offer...

Informații despre carte

Autor
Limbă
engleză
Legare
Carte - Carte broșată
Publicat
2009
Pagini
140
EAN
9783639161809
Enbook ID
06824607
Dimensiuni
150 x 220 x 8

Descriere completă

Neural network methods, coming from the brain science of cognitive theory and neurophysiology, offer a powerful alternative to linear and other existing non-linear models for forecasting, classification, and risk assessment in finance and economics.The objective of this thesis is to establish the use of Neural Networks and other related technologies like wavelets etc. for Quantitative Finance applications.This thesis evaluates the predictive accuracy with neural networks, encompassing forecasting, classification, and dimensionality reduction.This thesis also compares the performance of Neural network forecasting with conditional heteroscedastic models. Results show that Neural Networks can be effectively employed in forecasting of Exchange rate and Stock/Futures price, and in estimation of conditional and implied volatility of options. RBF networks do considerably better than MLP networks in extracting the information necessary to perform a good generalization from the training set.The number of hidden units used does not seem to have a straight relation with the forecast performance.

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