E-LIB Suche - Ergebnisse für: Kristjanpoller, Werner

1

Blockchain ETFs and the cryptocurrency and Nasdaq markets: ..:

Kristjanpoller, Werner ; Nekhili, Ramzi ; Bouri, Elie
Physica A: Statistical Mechanics and its Applications. 637 (2024) - p. 129589 , 2024

Link: https://doi.org/10.1016/..

2

Stock market index prediction using transformer neural netw..:

Yañez, Camilo ; Kristjanpoller, Werner ; Minutolo, Marcel C.
Neural Computing and Applications. , 2024

Link: https://doi.org/10.1007/..

3

Deep reinforcement learning applied to statistical arbitrag..:

Vergara, Gabriel ; Kristjanpoller, Werner
Applied Soft Computing. 153 (2024) - p. 111255 , 2024

Link: https://doi.org/10.1016/..

4

What if we intervene?: Higher-order cross-lagged causal mod..:

Castro, Christopher ; Michell, Kevin ; Kristjanpoller, Werner.
Neural Computing and Applications. , 2024

Link: https://doi.org/10.1007/..

5

A hybrid econometrics and machine learning based modeling o..:

Kristjanpoller, Werner
Financial Innovation. 10 (2024) 1 - p. , 2024

Link: https://doi.org/10.1186/..

6

Day of the Week Effect on the World Exchange Rates through ..:

Kristjanpoller, Werner ; Miranda Tabak, Benjamin
Fractal and Fractional. 8 (2024) 6 - p. 340 , 2024

Link: https://doi.org/10.3390/..

7

Estimation of causality in economic growth and expansionary..:

Bermeo, Cristhian ; Michell, Kevin ; Kristjanpoller, Werner
Neural Computing and Applications. 35 (2023) 18 - p. 13631-13645 , 2023

Link: https://doi.org/10.1007/..

8

How the effective reproductive number impacts global stock ..:

Kristjanpoller, Werner ; Michell, Kevin ; Minutolo, Marcel C.
International Journal of Finance & Economics. , 2023

Link: https://doi.org/10.1002/..

9

Market index price prediction using Deep Neural Networks wi..:

Mendoza, Carlos ; Kristjanpoller, Werner ; Minutolo, Marcel C.
Applied Soft Computing. 146 (2023) - p. 110700 , 2023

Link: https://doi.org/10.1016/..

10

Determining the gender wage gap through causal inference an..:

Kristjanpoller, Werner ; Michell, Kevin ; Olson, Josephine E.
Neural Computing and Applications. , 2023

Link: https://doi.org/10.1007/..

11

A hybrid model to forecast greenhouse gas emissions in Lati..:

Caneo, Joaquin ; Scavia, Javier ; Minutolo, Marcel C..
Soft Computing. 27 (2023) 23 - p. 17943-17970 , 2023

Link: https://doi.org/10.1007/..

12

Framework based on multiplicative error and residual analys..:

Tapia, Sebastian ; Kristjanpoller, Werner
Physica A: Statistical Mechanics and its Applications. 589 (2022) - p. 126613 , 2022

Link: https://doi.org/10.1016/..

13

Causal treatment effects in time series: CO2 emissions and ..:

Llanos, Cristian ; Kristjanpoller, Werner ; Michell, Kevin.
Energy. 249 (2022) - p. 123625 , 2022

Link: https://doi.org/10.1016/..

14

An empirical application of a hybrid ANFIS model to predict..:

Kristjanpoller, Werner ; Astudillo, Nicole ; Olson, Josephine E.
Neural Computing and Applications. 34 (2022) 20 - p. 17343-17353 , 2022

Link: https://doi.org/10.1007/..

15

A fuzzy regression causality approach to analyze relationsh..:

Pandelara, Diego ; Kristjanpoller, Werner ; Michell, Kevin.
Energy. 239 (2022) - p. 122459 , 2022

Link: https://doi.org/10.1016/..