Publikacje wybranego autora

1

Autor:
Tytuł:
Point Forecasting of Intraday Volume Using Bayesian Autoregressive Conditional Volume Models
Źródło:
Journal of Forecasting. - vol. 38, iss. 4 (2019) , s. 293-310. - Summ. - Bibliogr.
Lista 2019:
70.00 pkt
Nr:
2168329149
artykuł w czasopiśmie
2

Autor:
Tytuł:
Point and Density Prediction of Intra-day Volume Using Bayesian Linear ACV Models : Evidence from the Polish Stock Market
Źródło:
Quantitative Finance. - vol. 18, iss. 5 (2018) , s. 749-760. - Tytuł numeru: The 23rd Forecasting Financial Markets Conference - Bibliogr.
Lista MNiSW:
a 25.00 pkt
Nr:
2168322755
artykuł w czasopiśmie
1
Point Forecasting of Intraday Volume Using Bayesian Autoregressive Conditional Volume Models / Roman HUPTAS // Journal of Forecasting. - vol. 38, iss. 4 (2019), s. 293-310. - Summ. - Bibliogr. - Pełny tekst: https://onlinelibrary.wiley.com/doi/full/10.1002/for.2555. - ISSN 0277-6693
2
Point and Density Prediction of Intra-day Volume Using Bayesian Linear ACV Models : Evidence from the Polish Stock Market / Roman HUPTAS // Quantitative Finance. - vol. 18, iss. 5 (2018), s. 749-760. - Summ.. - Tytuł numeru: The 23rd Forecasting Financial Markets Conference. - Bibliogr. - ISSN 1469-7688
1
Huptas R., (2019), Point Forecasting of Intraday Volume Using Bayesian Autoregressive Conditional Volume Models, "Journal of Forecasting", vol. 38, iss. 4, s. 293-310; https://onlinelibrary.wiley.com/doi/full/10.1002/for.2555
2
Huptas R., (2018), Point and Density Prediction of Intra-day Volume Using Bayesian Linear ACV Models : Evidence from the Polish Stock Market, "Quantitative Finance", vol. 18, iss. 5, s. 749-760.
1
@article{artUEK:2168329149,
author = "Roman Huptas",
title = "Point Forecasting of Intraday Volume Using Bayesian Autoregressive Conditional Volume Models",
journal = "Journal of Forecasting",
number = "vol. 38, iss. 4",
pages = "293-310",
year = "2019",
doi = {http://dx.doi.org/10.1002/for.2555},
url = {https://onlinelibrary.wiley.com/doi/full/10.1002/for.2555},
}
2
@article{artUEK:2168322755,
author = "Roman Huptas",
title = "Point and Density Prediction of Intra-day Volume Using Bayesian Linear ACV Models : Evidence from the Polish Stock Market",
journal = "Quantitative Finance",
number = "vol. 18, iss. 5",
pages = "749-760",
year = "2018",
doi = {http://dx.doi.org/10.1080/14697688.2017.1414491},
url = {},
}