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Pricing financial call options with a multilayer perceptron class of artificial neural network : case: S&P 500 index options in 2017-2019
(2019)
The objective of this Master’s thesis is to examine if a Multilayer Perceptron class of artificial neural network can be applied to estimate European call option prices on the S&P 500 index in 2017 to 2019. The estimations ...
DAX index price prediction using artificial neural networks
(2020)
Artificial neural networks (ANNs) have become widely popular in the field of machine learning and are also increasingly used in the financial field, especially in asset price prediction. This thesis studies if the price ...
Economic growth forecasting in Nordic countries : a comparative analysis between generalized autoregressive conditional heteroscedasticity models and nonlinear autoregressive neural network models
(2021)
Advanced computational efficiency has made possible to utilize artificial neural networks (ANN) in economic forecasting. This thesis studies differences between hybrid autoregressive moving average with generalized ...
Residential real estate valuation : review and practical comparison of valuation methods
(2020)
The purpose of this master’s thesis is to find out what kind of housing valuation models exist in the previous literature. In addition, the purpose of this study is to compare more closely the two different methods, ...