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ECONIS (ZBW)
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1
Are low frequency macroeconomic variables important for high frequency electricity prices?
Foroni, Claudia
;
Ravazzolo, Francesco
;
Rossini, Luca
- In:
Economic modelling
120
(
2023
),
pp. 1-11
Persistent link: https://www.econbiz.de/10014384007
Saved in:
2
Forecasting dividend growth : the role of adjusted earnings yield
Yu, Deshui
;
Huang, Difang
;
Li, Chen
;
Li, Luyang
- In:
Economic modelling
120
(
2023
),
pp. 1-16
Persistent link: https://www.econbiz.de/10014384127
Saved in:
3
Real-time macroeconomic monitoring using mixed frequency data : evidence from China
Zhang, Wei
;
He, Jie
;
Ge, Chanyuan
;
Xue, Rui
- In:
Economic modelling
117
(
2022
),
pp. 1-14
Persistent link: https://www.econbiz.de/10014229194
Saved in:
4
Improving the accuracy of tail risk forecasting models by combining several realized volatility estimators
Naimoli, Antonio
;
Gerlach, Richard
;
Storti, Giuseppe
- In:
Economic modelling
107
(
2022
),
pp. 1-19
Persistent link: https://www.econbiz.de/10013367470
Saved in:
5
Asymmetric multivariate HAR models for realized covariance matrix : a study based on volatility timing strategies
Qu, Hui
;
Zhang, Yi
- In:
Economic modelling
106
(
2022
),
pp. 1-13
Persistent link: https://www.econbiz.de/10013347668
Saved in:
6
Modelling persistent stationary processes in continuous time
Jeong, Minsoo
- In:
Economic modelling
109
(
2022
),
pp. 1-12
Persistent link: https://www.econbiz.de/10013348235
Saved in:
7
Do realized higher moments have information content? : VaR forecasting based on the realized GARCH-RSRK model
Wang, Tianyi
;
Liang, Fang
;
Huang, Zhuo
;
Yan, Hong
- In:
Economic modelling
109
(
2022
),
pp. 1-13
Persistent link: https://www.econbiz.de/10013348237
Saved in:
8
Forecasting US yield curve using the dynamic Nelson-Siegel model with random level shift parameters
Luo, Deqing
;
Pang, Tao
;
Xu, Jiawen
- In:
Economic modelling
94
(
2021
),
pp. 340-350
Persistent link: https://www.econbiz.de/10012695028
Saved in:
9
On the role of dependence in sticky price and sticky information Phillips curve : modelling and forecasting
Casarin, Roberto
;
Costantini, Mauro
;
Paradiso, Antonio
- In:
Economic modelling
105
(
2021
),
pp. 1-19
Persistent link: https://www.econbiz.de/10013367149
Saved in:
10
Forecasting natural gas prices using highly flexible time-varying parameter models
Gao, Shen
;
Hou, Chenghan
;
Bao Hoang Nguyen
- In:
Economic modelling
105
(
2021
),
pp. 1-14
Persistent link: https://www.econbiz.de/10013367152
Saved in:
11
Macroeconomic forecasts and commodity futures volatility
Ye, Wuyi
;
Guo, Ranran
;
Deschamps, Bruno
;
Jiang, Ying
; …
- In:
Economic modelling
94
(
2021
),
pp. 981-994
Persistent link: https://www.econbiz.de/10012695606
Saved in:
12
Smoothing and forecasting mixed-frequency time series with vector exponential smoothing models
Seong, Byeongchan
- In:
Economic modelling
91
(
2020
),
pp. 463-468
Persistent link: https://www.econbiz.de/10012429116
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13
Further empirical evidence on the forecasting of volatility with smooth transition exponential smoothing
Liu, Min
;
Taylor, James W.
;
Choo, Wei Chong
- In:
Economic modelling
93
(
2020
),
pp. 651-659
Persistent link: https://www.econbiz.de/10012430324
Saved in:
14
Inflation forecasting using the New Keynesian Phillips Curve with a time-varying trend
McKnight, Stephen
;
Mihailov, Alexander
;
Rumler, Fabio
- In:
Economic modelling
87
(
2020
),
pp. 383-393
Persistent link: https://www.econbiz.de/10012416768
Saved in:
15
Forecasting stock market volatility : the role of technical variables
Liu, Li
;
Pan, Zhiyuan
- In:
Economic modelling
84
(
2020
),
pp. 55-65
Persistent link: https://www.econbiz.de/10012210290
Saved in:
16
Rationality tests in the presence of instabilities in finite samples
Shagi, Makram el-
- In:
Economic modelling
79
(
2019
),
pp. 242-246
Persistent link: https://www.econbiz.de/10012199130
Saved in:
17
Do oil prices predict Indonesian macroeconomy?
Sharma, Susan Sunila
;
Dinh Hoang Bach Phan
;
Iyke, …
- In:
Economic modelling
82
(
2019
),
pp. 2-12
Persistent link: https://www.econbiz.de/10012202225
Saved in:
18
Forecasting gold futures market volatility using macroeconomic variables in the United States
Fang, Libing
;
Yu, Honghai
;
Xiao, Wen
- In:
Economic modelling
72
(
2018
),
pp. 249-259
Persistent link: https://www.econbiz.de/10012100333
Saved in:
19
Updating China's input-output tables series using MTT method and its comparison
Zheng, Haitao
;
Fang, Qi
;
Wang, Cheng
;
Jiang, Yunyun
; …
- In:
Economic modelling
74
(
2018
),
pp. 186-193
Persistent link: https://www.econbiz.de/10012101323
Saved in:
20
Group penalized unrestricted mixed data sampling model with application to forecasting US GDP growth
Xu, Qifa
;
Zhuo, Xingxuan
;
Jiang, Cuixia
;
Liu, Xi
;
Liu, …
- In:
Economic modelling
75
(
2018
),
pp. 221-236
Persistent link: https://www.econbiz.de/10012101481
Saved in:
21
High-dimensional covariance forecasting based on principal component analysis of high-frequency data
Jian, Zhihong
;
Deng, Pingjun
;
Zhu, Zhican
- In:
Economic modelling
75
(
2018
),
pp. 422-431
Persistent link: https://www.econbiz.de/10012101548
Saved in:
22
Fitting and forecasting yield curves with a mixed-frequency affine model : evidence from China
Shang, Yuhuang
;
Zheng, Tingguo
- In:
Economic modelling
68
(
2018
),
pp. 145-154
Persistent link: https://www.econbiz.de/10011934605
Saved in:
23
Measuring the output gap in Switzerland with linear opinion pools
Buncic, Daniel
;
Müller, Oliver
- In:
Economic modelling
64
(
2017
),
pp. 153-171
Persistent link: https://www.econbiz.de/10011756638
Saved in:
24
The new MIBA model : real-time nowcasting of French GDP using the Banque de France's monthly business survey
Mogliani, Matteo
;
Darné, Olivier
;
Pluyaud, Bertrand
- In:
Economic modelling
64
(
2017
),
pp. 26-39
Persistent link: https://www.econbiz.de/10011756427
Saved in:
25
The intraday directional predictability of large Australian stocks : a cross-quantilogram analysis
Todorova, Neda
- In:
Economic modelling
64
(
2017
),
pp. 221-230
Persistent link: https://www.econbiz.de/10011760907
Saved in:
26
Catching the curl : wavelet thresholding improves forward curve modelling
Power, Gabriel J.
;
Eaves, James
;
Turvey, Calum Greig
; …
- In:
Economic modelling
64
(
2017
),
pp. 312-321
Persistent link: https://www.econbiz.de/10011761254
Saved in:
27
A dynamic Nelson-Siegel yield curve model with Markov switching
Levant, Jared
;
Ma, Jun
- In:
Economic modelling
67
(
2017
),
pp. 73-87
Persistent link: https://www.econbiz.de/10011813779
Saved in:
28
Interval-valued time series forecasting using a novel hybrid HoltI and MSVR model
Xiong, Tao
;
Chongguang, Li
;
Bao, Yukun
- In:
Economic modelling
60
(
2017
),
pp. 11-23
Persistent link: https://www.econbiz.de/10011734161
Saved in:
29
Forecasting the realized range-based volatility using dynamic model averaging approach
Liu, Jing
;
Wei, Yu
;
Ma, Feng
;
Wahab, M. I. M.
- In:
Economic modelling
61
(
2017
),
pp. 12-26
Persistent link: https://www.econbiz.de/10011736682
Saved in:
30
Forecasting structural change and fat-tailed events in Australian macroeconomic variables
Cross, Jamie
;
Poon, Aubrey
- In:
Economic modelling
58
(
2016
),
pp. 34-51
Persistent link: https://www.econbiz.de/10011647028
Saved in:
31
On business cycle fluctuations in USA macroeconomic time series
Kiani, Khurshid M.
- In:
Economic modelling
53
(
2016
),
pp. 179-186
Persistent link: https://www.econbiz.de/10011640993
Saved in:
32
Breaks or long range dependence in the energy futures volatility : out-of-sample forecasting and VaR analysis
Charfeddine, Lanouar
- In:
Economic modelling
53
(
2016
),
pp. 354-374
Persistent link: https://www.econbiz.de/10011641058
Saved in:
33
Nowcasting Czech GDP in real time
Rusnák, Marek
- In:
Economic modelling
54
(
2016
),
pp. 26-39
Persistent link: https://www.econbiz.de/10011641356
Saved in:
34
Forecasting stock volatility using after-hour information : evidence from the Australian Stock Exchange
Jayawardena, Nirodha I.
;
Todorova, Neda
;
Li, Bin
;
Su, Jen-je
- In:
Economic modelling
52
(
2016
),
pp. 592-608
Persistent link: https://www.econbiz.de/10011642932
Saved in:
35
Does the vector error correction model perform better than others in forecasting stock price? : an application of residual income valuation theory
Kuo, Chen-Yin
- In:
Economic modelling
52
(
2016
),
pp. 772-789
Persistent link: https://www.econbiz.de/10011643043
Saved in:
36
An efficient estimate and forecast of the implied volatility surface : a nonlinear Kalman filter approach
Chen, Si
;
Zhou, Zhen
;
Li, Shenghong
- In:
Economic modelling
58
(
2016
),
pp. 655-664
Persistent link: https://www.econbiz.de/10011647943
Saved in:
37
Enhancing the forecasting power of exchange rate models by introducing nonlinearity : does it work?
Burns, Kelly
;
Moosa, Imad A.
- In:
Economic modelling
50
(
2015
),
pp. 27-39
Persistent link: https://www.econbiz.de/10011439608
Saved in:
38
Monitoring the world business cycle
Camacho, Maximo
;
Martínez-Martín, Jaime
- In:
Economic modelling
51
(
2015
),
pp. 617-625
Persistent link: https://www.econbiz.de/10011476196
Saved in:
39
Forecasting Portuguese GDP with factor models : pre- and post-crisis evidence
Dias, Francisco C.
;
Pinheiro, Maximiano
;
Rua, António
- In:
Economic modelling
44
(
2015
),
pp. 266-272
Persistent link: https://www.econbiz.de/10011326229
Saved in:
40
PSO-based high order time invariant fuzzy time series method : application to stock exchange data
Egrioglu, Erol
- In:
Economic modelling
38
(
2014
),
pp. 633-639
Persistent link: https://www.econbiz.de/10010418956
Saved in:
41
Forecasting with a state space time-varying parameter VAR model : evidence from the Euro area
Bekiros, Stelios
- In:
Economic modelling
38
(
2014
),
pp. 619-626
Persistent link: https://www.econbiz.de/10010418962
Saved in:
42
Semiconductor industry cycles : explanatory factors and forecasting
Aubry, Mathilde
;
Renou-Maissant, Patricia
- In:
Economic modelling
39
(
2014
),
pp. 221-231
Persistent link: https://www.econbiz.de/10010421856
Saved in:
43
Realized volatility models and alternative Value-at-Risk prediction strategies
Louzis, Dimitrios P.
;
Xanthopoulos-Sisinis, Spyros
; …
- In:
Economic modelling
40
(
2014
),
pp. 101-116
Persistent link: https://www.econbiz.de/10010425716
Saved in:
44
Forecasting tourism demand to Catalonia : neural networks vs. time series models
Claveria, Oscar
;
Torra, Salvador
- In:
Economic modelling
36
(
2014
),
pp. 220-228
Persistent link: https://www.econbiz.de/10010412358
Saved in:
45
Volatility forecasting using high frequency data : evidence from stock markets
Çelik, Sibel
;
Ergin, Hüseyin
- In:
Economic modelling
36
(
2014
),
pp. 176-190
Persistent link: https://www.econbiz.de/10010412371
Saved in:
46
A novel time-series model based on empirical mode decomposition for forecasting TAIEX
Cheng, Ching-hsue
;
Wei, Liang-ying
- In:
Economic modelling
36
(
2014
),
pp. 136-141
Persistent link: https://www.econbiz.de/10010412424
Saved in:
47
The impact of trading volume, number of trades and overnight returns on forecasting the daily realized range
Todorova, Neda
;
Souček, Michael
- In:
Economic modelling
36
(
2014
),
pp. 332-340
Persistent link: https://www.econbiz.de/10010415483
Saved in:
48
A DSGE-VAR model for forecasting key South African macroeconomic variables
Gupta, Rangan
;
Steinbach, Rudi
- In:
Economic modelling
33
(
2013
),
pp. 19-33
Persistent link: https://www.econbiz.de/10010192067
Saved in:
49
The (un)reliability of real-time output gap estimates with revised data
Ince, Onur
;
Papell, David H.
- In:
Economic modelling
33
(
2013
),
pp. 713-721
Persistent link: https://www.econbiz.de/10010194411
Saved in:
50
Can signal extraction help predict risk premia in foreign exchange rates
Kiani, Khurshid M.
- In:
Economic modelling
33
(
2013
),
pp. 926-939
Persistent link: https://www.econbiz.de/10010195543
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