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Money demand and seigniorage-maximizing inflation in Chile : approximation, learning, and estimation with neural networks

McNelis, Paul D. - In: Revista de análisis económico 13 (1998) 2, pp. 3-24

Persistent link: https://www.econbiz.de/10001453218

Neural networks in finance : gaining predictive edge in the market

McNelis, Paul D. - 2005

Persistent link: https://www.econbiz.de/10002237395

The effect of the Nikkei and the S&P on the all-ordinaries : a comparison of three models

Lim, Guay C.; McNelis, Paul D. - In: International journal of finance & economics : IJFE 3 (1998) 3, pp. 217-228

Persistent link: https://www.econbiz.de/10001434202

An ANN model of the stock market

Lim, Guay C. - In: Nonlinear economic models : cross-sectional, times …, (pp. 241-254). 1997

Persistent link: https://www.econbiz.de/10001302937

Approximating and simulating the stochastic growth model : parameterized expectations, neural networks, and the genetic algorithm

Duffy, John; McNelis, Paul D. - In: Journal of economic dynamics & control 25 (2001) 9, pp. 1273-1303

Persistent link: https://www.econbiz.de/10001588175

Forecasting inflation with thick models and neural networks

McAdam, Peter; McNelis, Paul D. - In: Economic modelling 22 (2005) 5, pp. 848-867

Persistent link: https://www.econbiz.de/10003116581

Deciphering the message in Japanese deflation dynamics

McNelis, Paul D.; Yoshino, Naoyuki - In: Asian economic papers 3 (2004) 2, pp. 41-78

Persistent link: https://www.econbiz.de/10003032348

Forecasting inflation with forecast combinations : using neural networks in policy

McNelis, Paul D.; McAdam, Peter - In: Complexity hints for economic policy, (pp. 253-270). 2007

Persistent link: https://www.econbiz.de/10009568063

Forecasting Inflation with Thick Models and Neural Networks

McNelis, Paul D.; McAdam, Peter - 2021

This paper applies linear and neural network-based "thick" models for forecasting inflation based on Phillips-curve formulations in the USA, Japan and the euro area. Thick models represent "trimmed mean" forecasts from several neural network models. They outperform the best performing linear...

Persistent link: https://www.econbiz.de/10013319342

Forecasting inflation with thick models and neural networks

McNelis, Paul D.; McAdam, Peter - 2004

Persistent link: https://www.econbiz.de/10013434687