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ECONIS (ZBW)
223
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1
Local prediction pools
Oelrich, Oscar
;
Villani, Mattias
;
Ankargren, Sebastian
- In:
Journal of forecasting
43
(
2024
)
1
,
pp. 103-117
Persistent link: https://www.econbiz.de/10014443187
Saved in:
2
Bayesian bilinear neural network for predicting the mid-price dynamics in limit-order book markets
Magris, Martin
;
Shabani, Mostafa
;
Iosifidis, Alexandros
- In:
Journal of forecasting
42
(
2023
)
6
,
pp. 1407-1428
Persistent link: https://www.econbiz.de/10014338908
Saved in:
3
Optimal forecasts in the presence of discrete structural breaks under long memory
Mboya, Mwasi Paza
;
Sibbertsen, Philipp
- In:
Journal of forecasting
42
(
2023
)
7
,
pp. 1889-1908
Persistent link: https://www.econbiz.de/10014432798
Saved in:
4
Structural and predictive analyses with a mixed copula-based vector autoregression model
Woraphon Yamaka
;
Gupta, Rangan
;
Sukrit Thongkairat
; …
- In:
Journal of forecasting
42
(
2023
)
2
,
pp. 223-239
Persistent link: https://www.econbiz.de/10014292148
Saved in:
5
Nowcasting inflation with Lasso-regularized vector autoregressions and mixed frequency data
Aliaj, Tesi
;
Ciganovic, Milos
;
Tancioni, Massimiliano
- In:
Journal of forecasting
42
(
2023
)
3
,
pp. 464-480
Persistent link: https://www.econbiz.de/10014292204
Saved in:
6
A state-dependent linear recurrent formula with application to time series with structural breaks
Rahmani, Donya
;
Fay, Damien
- In:
Journal of forecasting
41
(
2022
)
1
,
pp. 43-63
Persistent link: https://www.econbiz.de/10012796267
Saved in:
7
Modeling interval trendlines : symbolic singular spectrum analysis for interval time series
Carvalho, Miguel de
;
Martos, Gabriel
- In:
Journal of forecasting
41
(
2022
)
1
,
pp. 167-180
Persistent link: https://www.econbiz.de/10012796282
Saved in:
8
A Bayesian time-varying autoregressive model for improved short-term and long-term prediction
Berninger, Christoph
;
Stöcker, Almond
;
Rügamer, David
- In:
Journal of forecasting
41
(
2022
)
1
,
pp. 181-200
Persistent link: https://www.econbiz.de/10012796284
Saved in:
9
Forecasting CPI with multisource data : the value of media and internet information
Zheng, Tingguo
;
Fan, Xinyue
;
Jin, Wei
;
Fang, Kuangnan
- In:
Journal of forecasting
43
(
2024
)
3
,
pp. 702-753
Persistent link: https://www.econbiz.de/10014532380
Saved in:
10
Forecasts with Bayesian vector autoregressions under real time conditions
Pfarrhofer, Michael
- In:
Journal of forecasting
43
(
2024
)
3
,
pp. 771-801
Persistent link: https://www.econbiz.de/10014532388
Saved in:
11
Meta-learning how to forecast time series
Talagala, Thiyanga S.
;
Hyndman, Rob J.
;
Athanasopoulos, …
- In:
Journal of forecasting
42
(
2023
)
6
,
pp. 1476-1501
Persistent link: https://www.econbiz.de/10014338938
Saved in:
12
A review of artificial intelligence quality in forecasting asset prices
Barboza, Flavio Luiz de Moraes
;
Silva, Geraldo Nunes
; …
- In:
Journal of forecasting
42
(
2023
)
7
,
pp. 1708-1728
Persistent link: https://www.econbiz.de/10014432754
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13
Forecasting nonstationary time series
Gatarek, Lukasz T.
;
Welfe, Aleksander
- In:
Journal of forecasting
42
(
2023
)
7
,
pp. 1930-1949
Persistent link: https://www.econbiz.de/10014432804
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14
Forecast accuracy of the linear and nonlinear autoregressive models in macroeconomic modeling
Taiebnia, Ali
;
Mohammadi, Shapour
- In:
Journal of forecasting
42
(
2023
)
8
,
pp. 2045-2062
Persistent link: https://www.econbiz.de/10014432847
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15
Forecasting base metal prices with exchange rate expectations
Pincheira, Pablo
;
Hardy, Nicolás
- In:
Journal of forecasting
42
(
2023
)
8
,
pp. 2341-2362
Persistent link: https://www.econbiz.de/10014432904
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16
A hybrid approach with step-size aggregation to forecasting hierarchical time series
Ur Rehman, Hakeem
;
Wan, Guohua
;
Rafique, Raza
- In:
Journal of forecasting
42
(
2023
)
1
,
pp. 176-192
Persistent link: https://www.econbiz.de/10013465779
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17
Forecasting inflation time series using score-driven dynamic models and combination methods : the case of Brazil
Castro, Carlos Henrique Dias Cordeiro de
;
Aiube, …
- In:
Journal of forecasting
42
(
2023
)
2
,
pp. 369-401
Persistent link: https://www.econbiz.de/10014292183
Saved in:
18
Optimal hybrid framework for carbon price forecasting using time series analysis and least squares support vector machine
Zhang, Wen
;
Wu, Zhibin
- In:
Journal of forecasting
41
(
2022
)
3
,
pp. 615-632
Persistent link: https://www.econbiz.de/10013166168
Saved in:
19
Time-varying trend models for forecasting inflation in Australia
Guo, Na
;
Zhang, Bo
;
Cross, Jamie
- In:
Journal of forecasting
41
(
2022
)
2
,
pp. 316-330
Persistent link: https://www.econbiz.de/10012817762
Saved in:
20
Multistage optimization filter for trend-based short-term forecasting
Zafar, Usman
;
Kellard, Neil
;
Vinogradov, Dmitri V.
- In:
Journal of forecasting
41
(
2022
)
2
,
pp. 345-360
Persistent link: https://www.econbiz.de/10012817774
Saved in:
21
Singular spectrum analysis for value at risk in stochastic volatility models
Arteche, Josu
;
García-Enríquez, Javier
- In:
Journal of forecasting
41
(
2022
)
1
,
pp. 3-16
Persistent link: https://www.econbiz.de/10012796265
Saved in:
22
Dendritic neuron model neural network trained by modified particle swarm optimization for time-series forecasting
Yilmaz, Ayse
;
Yolcu, Ufuk
- In:
Journal of forecasting
41
(
2022
)
4
,
pp. 793-809
Persistent link: https://www.econbiz.de/10013287860
Saved in:
23
ANN-polynomial-Fourier series modeling and Monte Carlo forecasting of tourism data
Danbatta, Salim Jibrin
;
Varol, Asaf
- In:
Journal of forecasting
41
(
2022
)
5
,
pp. 920-932
Persistent link: https://www.econbiz.de/10013287885
Saved in:
24
A model sufficiency test using permutation entropy
Huang, Xin
;
Shang, Han Lin
;
Pitt, David C.
- In:
Journal of forecasting
41
(
2022
)
5
,
pp. 1017-1036
Persistent link: https://www.econbiz.de/10013287897
Saved in:
25
Forecast evaluation of DSGE models : linear and nonlinear likelihood
Chin, Kuo-Hsuan
- In:
Journal of forecasting
41
(
2022
)
6
,
pp. 1099-1130
Persistent link: https://www.econbiz.de/10013465683
Saved in:
26
Nowcasting world GDP growth with high-frequency data
Jardet, Caroline
;
Meunier, Baptiste
- In:
Journal of forecasting
41
(
2022
)
6
,
pp. 1181-1200
Persistent link: https://www.econbiz.de/10013465691
Saved in:
27
Forgetting approaches to improve forecasting
Hill, Robert A.
;
Rodrigues, Paulo M. M.
- In:
Journal of forecasting
41
(
2022
)
7
,
pp. 1356-1371
Persistent link: https://www.econbiz.de/10013465699
Saved in:
28
Stochastic configuration network based on improved whale optimization algorithm for nonstationary time series prediction
Chen, Zi-yu
;
Xiao, Fei
;
Wang, Xiao-kang
;
Deng, Min-hui
; …
- In:
Journal of forecasting
41
(
2022
)
7
,
pp. 1458-1482
Persistent link: https://www.econbiz.de/10013465705
Saved in:
29
Time‐varying parameter realized volatility models
Wang, Yudong
;
Pan, Zhiyuan
;
Wu, Chongfeng
- In:
Journal of forecasting
36
(
2017
)
5
,
pp. 566-580
Persistent link: https://www.econbiz.de/10011860698
Saved in:
30
Prediction‐based adaptive compositional model for seasonal time series analysis
Chang, Kun
;
Chen, Rong
;
Fomby, Thomas B.
- In:
Journal of forecasting
36
(
2017
)
7
,
pp. 842-853
Persistent link: https://www.econbiz.de/10011860758
Saved in:
31
Forecasting key US macroeconomic variables with a factor‐augmented Qual VAR
Gupta, Rangan
;
Olson, Eric
;
Wohar, Mark E.
- In:
Journal of forecasting
36
(
2017
)
6
,
pp. 640-650
Persistent link: https://www.econbiz.de/10011861401
Saved in:
32
Forecasting ability of a periodic component extracted from large-cap index time series
O'Shea, Michael J.
- In:
Journal of forecasting
36
(
2017
)
1
,
pp. 43-55
Persistent link: https://www.econbiz.de/10011729053
Saved in:
33
Ensemble forecasting for complex time series using sparse representation and neural networks
Yu, Lean
;
Zhao, Yang
;
Tang, Ling
- In:
Journal of forecasting
36
(
2017
)
2
,
pp. 122-138
Persistent link: https://www.econbiz.de/10011729109
Saved in:
34
On the modelling and forecasting of multivariate realized volatility : generalized heterogeneous autoregressive (GHAR) model
Čech, František
;
Baruník, Jozef
- In:
Journal of forecasting
36
(
2017
)
2
,
pp. 181-206
Persistent link: https://www.econbiz.de/10011729136
Saved in:
35
Bayesian forecasting for time series of categorical data
Angers, Jean-François
;
Biswas, Atanu
;
Maiti, Raju
- In:
Journal of forecasting
36
(
2017
)
3
,
pp. 217-229
Persistent link: https://www.econbiz.de/10011729239
Saved in:
36
Forecast combinations in a DSGE-VAR lab
Costantini, Mauro
;
Gunter, Ulrich
;
Kunst, Robert M.
- In:
Journal of forecasting
36
(
2017
)
3
,
pp. 305-324
Persistent link: https://www.econbiz.de/10011729264
Saved in:
37
Forecasting latent volatility through a Markov chain approximation filter
Lo, Chia Chun
;
Skindilias, Konstantinos
; …
- In:
Journal of forecasting
35
(
2016
)
1
,
pp. 54-69
Persistent link: https://www.econbiz.de/10011417712
Saved in:
38
Real-time signal extraction with regularized multivariate direct filter approach
Buss, Ginters
- In:
Journal of forecasting
35
(
2016
)
3
,
pp. 206-216
Persistent link: https://www.econbiz.de/10011580266
Saved in:
39
Bayesian model averaging under regime switching with application to cyclical macro variable forecasting
Shi, Jianmin
- In:
Journal of forecasting
35
(
2016
)
3
,
pp. 250-262
Persistent link: https://www.econbiz.de/10011580285
Saved in:
40
Forecasting based on decomposed financial return series : a wavelet analysis
Berger, Theo
- In:
Journal of forecasting
35
(
2016
)
5
,
pp. 419-433
Persistent link: https://www.econbiz.de/10011580976
Saved in:
41
Modeling realized volatility dynamics with a genetic algorithm
Qu, Hui
;
Ji, Ping
- In:
Journal of forecasting
35
(
2016
)
5
,
pp. 434-444
Persistent link: https://www.econbiz.de/10011580981
Saved in:
42
Factor models of stock returns : GARCH errors versus time-varying betas
Koundouri, Phoebe
;
Kourogenis, Nikolaos
;
Pittis, Nikitas
; …
- In:
Journal of forecasting
35
(
2016
)
5
,
pp. 445-461
Persistent link: https://www.econbiz.de/10011580985
Saved in:
43
Bayesian analysis of a threshold stochastic volatility model
Wirjanto, Tony S.
;
Kolkiewicz, Adam W.
;
Men, Zhongxian
- In:
Journal of forecasting
35
(
2016
)
5
,
pp. 462-476
Persistent link: https://www.econbiz.de/10011580989
Saved in:
44
LASSO-type penalties for covariate selection and forecasting in time series
Konzen, Evandro
;
Ziegelmann, Flávio A.
- In:
Journal of forecasting
35
(
2016
)
7
,
pp. 592-612
Persistent link: https://www.econbiz.de/10011610065
Saved in:
45
Policy-oriented macroeconomic forecasting with hybrid DGSE and time-varying parameter VAR models
Bekiros, Stelios D.
;
Paccagnini, Alessia
- In:
Journal of forecasting
35
(
2016
)
7
,
pp. 613-632
Persistent link: https://www.econbiz.de/10011610087
Saved in:
46
An adaptive multiscale ensemble learning paradigm for nonstationary and nonlinear energy price time series forecasting
Zhu, Bangzhu
;
Shi, Xuetao
;
Chevallier, Julien
;
Wang, Ping
; …
- In:
Journal of forecasting
35
(
2016
)
7
,
pp. 633-651
Persistent link: https://www.econbiz.de/10011610095
Saved in:
47
Improving the timeliness of turning signals for business cycles with monthly data
Chou, Ta-Sheng
;
Chou, Ping-Hung
;
Lin, Eric S.
- In:
Journal of forecasting
35
(
2016
)
8
,
pp. 669-689
Persistent link: https://www.econbiz.de/10011610407
Saved in:
48
Monthly beta forecasting with low-, medium- and high-frequency stock returns
Cenesizoglu, Tolga
;
Liu, Qianqiu
;
Reeves, Jonathan J.
; …
- In:
Journal of forecasting
35
(
2016
)
6
,
pp. 528-541
Persistent link: https://www.econbiz.de/10011595959
Saved in:
49
Two-dimensional kernel smoothing of mortality surface : an evaluation of cohort strength
Li, Han
;
O'Hare, Colin
;
Vahid, Farshid
- In:
Journal of forecasting
35
(
2016
)
6
,
pp. 553-563
Persistent link: https://www.econbiz.de/10011595980
Saved in:
50
Augmented half-life estimation based on high-frequency data
Huang, Mao-Lung
;
Liao, Shu-Yi
;
Lin, Kuo-Chin
- In:
Journal of forecasting
34
(
2015
)
7
,
pp. 523-532
Persistent link: https://www.econbiz.de/10011390442
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