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subject:"Risiko"
subject:"Germany"
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1
A new neural network approach for predicting the volatility of stock market
Koo, Eunho
;
Kim, Geonwoo
- In:
Computational economics
61
(
2023
)
4
,
pp. 1665-1679
Persistent link: https://www.econbiz.de/10014327101
Saved in:
2
Predict stock prices using supervised learning algorithms and particle swarm optimization algorithm
Bazrkar, Mohammad Javad
;
Hosseini, Soodeh
- In:
Computational economics
62
(
2023
)
1
,
pp. 165-186
Persistent link: https://www.econbiz.de/10014327292
Saved in:
3
Comparison of Value at Risk (VaR) multivariate forecast models
Müller, Fernanda Maria
;
Righi, Marcelo Brutti
- In:
Computational economics
63
(
2024
)
1
,
pp. 75-110
Persistent link: https://www.econbiz.de/10014471980
Saved in:
4
Bayesian inference for mixed Gaussian GARCH-type model by Hamiltonian Monte Carlo algorithm
Liang, Rubing
;
Qin, Binbin
;
Xia, Qiang
- In:
Computational economics
63
(
2024
)
1
,
pp. 193-220
Persistent link: https://www.econbiz.de/10014472071
Saved in:
5
Statistical evaluation of deep learning models for stock return forecasting
Yilmaz, Firat Melih
;
Yildiztepe, Engin
- In:
Computational economics
63
(
2024
)
1
,
pp. 221-244
Persistent link: https://www.econbiz.de/10014472083
Saved in:
6
Forecasting Value at Risk and expected shortfall of foreign exchange rate volatility of major African currencies via GARCH and dynamic conditional correlation analysis
Afuecheta, Emmanuel
;
Okorie, Idika E.
;
Nadarajah, Saralees
- In:
Computational economics
63
(
2024
)
1
,
pp. 271-304
Persistent link: https://www.econbiz.de/10014472109
Saved in:
7
Uncertainty optimization based feature selection model for stock marketing
Sinha, Arvind Kumar
;
Shende, Pradeep
- In:
Computational economics
63
(
2024
)
1
,
pp. 357-389
Persistent link: https://www.econbiz.de/10014472223
Saved in:
8
Stock price ranking by learning pairwise preferences
Tas, Engin
;
Atli, Ayca Hatice
- In:
Computational economics
63
(
2024
)
2
,
pp. 513-528
Persistent link: https://www.econbiz.de/10014472383
Saved in:
9
Predicting natural gas prices based on a novel hybrid model with variational mode decomposition
Lu, Qin
;
Liao, Jingwen
;
Chen, Kechi
;
Liang, Yanhui
;
Lin, Yu
- In:
Computational economics
63
(
2024
)
2
,
pp. 639-678
Persistent link: https://www.econbiz.de/10014472537
Saved in:
10
Enhancement of neural networks model's predictions of currencies exchange rates by phase space reconstruction and harris hawks’ optimization
Khan, Haider Ali
;
Ghorbani, Shahryar
;
Shabani, Elham
; …
- In:
Computational economics
63
(
2024
)
2
,
pp. 835-860
Persistent link: https://www.econbiz.de/10014475063
Saved in:
11
A hybrid ARFIMA wavelet artificial neural network model for DJIA index forecasting
Boubaker, Heni
;
Canarella, Giorgio
;
Gupta, Rangan
; …
- In:
Computational economics
62
(
2023
)
4
,
pp. 1801-1843
Persistent link: https://www.econbiz.de/10014437593
Saved in:
12
Modeling Bitcoin prices using signal processing methods, Bayesian optimization, and deep neural networks
Tripathi, Bhaskar
;
Sharma, Rakesh Kumar
- In:
Computational economics
62
(
2023
)
4
,
pp. 1919-1945
Persistent link: https://www.econbiz.de/10014442577
Saved in:
13
Role of comprehensive income in predicting bankruptcy
Rahmi, Asyrofa
;
Lu, Hung-Yuan
;
Liang, Deron
; …
- In:
Computational economics
62
(
2023
)
2
,
pp. 689-720
Persistent link: https://www.econbiz.de/10014382758
Saved in:
14
Extracting rules via Markov chains for cryptocurrencies returns forecasting
Felix do Nascimento, Kerolly Kedma
;
Santos, Fábio …
- In:
Computational economics
61
(
2023
)
3
,
pp. 1095-1114
Persistent link: https://www.econbiz.de/10014252144
Saved in:
15
Threshold moving approach with logit models for bankruptcy prediction
Staňková, Michaela
- In:
Computational economics
61
(
2023
)
3
,
pp. 1251-1272
Persistent link: https://www.econbiz.de/10014252178
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16
Use of econometric predictors and artificial neural networks for the construction of stock market investment bots
Nametala, Ciniro A. L.
;
Souza, Jonas Villela de
; …
- In:
Computational economics
61
(
2023
)
2
,
pp. 743-773
Persistent link: https://www.econbiz.de/10014228461
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17
Deviation-based model risk measures
Berkhouch, Mohammed
;
Müller, Fernanda Maria
;
Lakhnati, …
- In:
Computational economics
59
(
2022
)
2
,
pp. 527-547
Persistent link: https://www.econbiz.de/10013169017
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18
How successful are energy efficiency investments? : a comparative analysis for classification & performance prediction
Doukas, Haris
;
Xidonas, Panos
;
Mastromichalakis, Nikos
- In:
Computational economics
59
(
2022
)
2
,
pp. 579-598
Persistent link: https://www.econbiz.de/10013169022
Saved in:
19
Method for improving the performance of technical analysis indicators by neural network models
Shi, Yong
;
Li, Bo
;
Long, Wen
;
Dai, Wei
- In:
Computational economics
59
(
2022
)
3
,
pp. 1027-1068
Persistent link: https://www.econbiz.de/10013169215
Saved in:
20
Inaccurate value at risk estimations : bad modeling or inappropriate data?
Vasileiou, Evangelos
- In:
Computational economics
59
(
2022
)
3
,
pp. 1155-1171
Persistent link: https://www.econbiz.de/10013169235
Saved in:
21
The risk early-warning model of financial operation in family farms based on back propagation neural network methods
Guang, Zhigui
;
Zhao, Yuanjun
;
Geng, Guojing
- In:
Computational economics
60
(
2022
)
4
,
pp. 1221-1244
Persistent link: https://www.econbiz.de/10013445742
Saved in:
22
A new bootstrapped hybrid artificial neural network approach for time series forecasting
Eğrioğlu, Erol
;
Fildes, Robert
- In:
Computational economics
59
(
2022
)
4
,
pp. 1355-1383
Persistent link: https://www.econbiz.de/10013260258
Saved in:
23
The training of PI-Sigma artificial neural networks with differential evolution algorithm for forecasting
Yılmaz, Oguzhan
;
Bas, Eren
;
Egrioglu, Erol
- In:
Computational economics
59
(
2022
)
4
,
pp. 1699-1711
Persistent link: https://www.econbiz.de/10013262226
Saved in:
24
Towards crafting optimal functional link artificial neural networks with Rao algorithms for stock closing prices prediction
Das, Subhranginee
;
Nayak, Sarat
;
Sahoo, Biswajit
- In:
Computational economics
60
(
2022
)
1
,
pp. 1-23
Persistent link: https://www.econbiz.de/10013262417
Saved in:
25
A comprehensive study of market prediction from efficient market hypothesis up to late intelligent market prediction approaches
Aminimehr, Amin
;
Raoofi, Ali
;
Aminimehr, Akbar
; …
- In:
Computational economics
60
(
2022
)
2
,
pp. 781-815
Persistent link: https://www.econbiz.de/10013380831
Saved in:
26
Disentangling shareholder risk aversion from leverage-dependent borrowing cost on corporate policies
Waga, Mateus
;
Valladão, Davi
;
Street, Alexandre
; …
- In:
Computational economics
60
(
2022
)
3
,
pp. 1-24
Persistent link: https://www.econbiz.de/10013380851
Saved in:
27
Swarm intelligence based hybrid neural network approach for stock price forecasting
Kumar, Gourav
;
Singh, Uday Pratap
;
Jain, Sanjeev
- In:
Computational economics
60
(
2022
)
3
,
pp. 991-1039
Persistent link: https://www.econbiz.de/10013380863
Saved in:
28
Optimal pricing of climate risk
Coleman, Thomas F.
;
Dumont, Nicole S.
;
Li, Wanqi
;
Liu, …
- In:
Computational economics
60
(
2022
)
3
,
pp. 1101-1134
Persistent link: https://www.econbiz.de/10013380876
Saved in:
29
Does capacity utilization predict inflation? : a wavelet based evidence from United States
Bahramian, Pejman
;
Saliminezhad, Andisheh
- In:
Computational economics
58
(
2021
)
4
,
pp. 1103-1125
Persistent link: https://www.econbiz.de/10012697888
Saved in:
30
Proofs and predictions in human problem solving
Velupillai, Kumaraswamy
- In:
Computational economics
57
(
2021
)
3
,
pp. 935-947
Persistent link: https://www.econbiz.de/10012543226
Saved in:
31
Multi-factor RFG-LSTM algorithm for stock sequence predicting
Su, Zhi
;
Xie, Heliang
;
Han, Lu
- In:
Computational economics
57
(
2021
)
4
,
pp. 1041-1058
Persistent link: https://www.econbiz.de/10012543252
Saved in:
32
Unemployment rate forecasting : a hybrid approach
Chakraborty, Tanujit
;
Chakraborty, Ashis Kumar
;
Biswas, …
- In:
Computational economics
57
(
2021
)
1
,
pp. 183-201
Persistent link: https://www.econbiz.de/10012486888
Saved in:
33
Should deep learning models be in high demand, or should they simply be a very hot topic? : a comprehensive study for exchange rate forecasting
Yilmaz, Firat Melih
;
Arabaci, Ozer
- In:
Computational economics
57
(
2021
)
1
,
pp. 217-245
Persistent link: https://www.econbiz.de/10012486893
Saved in:
34
A synthetic penalized logitboost to model mortgage lending with imbalanced data
Pesantez-Narvaez, Jessica
;
Guillén, Montserrat
; …
- In:
Computational economics
57
(
2021
)
1
,
pp. 281-309
Persistent link: https://www.econbiz.de/10012486902
Saved in:
35
Forecasting inflection points : hybrid methods with multiscale machine learning algorithms
Chevallier, Julien
;
Zhu, Bangzhu
;
Zhang, Lyuyuan
- In:
Computational economics
57
(
2021
)
2
,
pp. 537-575
Persistent link: https://www.econbiz.de/10012486931
Saved in:
36
On a bivariate hysteretic AR-GARCH model with conditional asymmetry in correlations
Chen, Cathy W. S.
;
Than-Thi, Hong
;
Asai, Manabu
- In:
Computational economics
58
(
2021
)
2
,
pp. 413-433
Persistent link: https://www.econbiz.de/10012615031
Saved in:
37
Forecasting volatility for an optimal portfolio with stylized facts using copulas
Karmous, Aida
;
Boubaker, Heni
;
Belkacem, Lotfi
- In:
Computational economics
58
(
2021
)
2
,
pp. 461-482
Persistent link: https://www.econbiz.de/10012615046
Saved in:
38
Estimating non-stationary common factors : implications for risk sharing
Corona, Francisco
;
Poncela, Pilar
;
Ruiz, Esther
- In:
Computational economics
55
(
2020
)
1
,
pp. 37-60
Persistent link: https://www.econbiz.de/10012222591
Saved in:
39
Forecasting financial returns volatility : a GARCH-SVR model
Sun, Hao
;
Yu, Bo
- In:
Computational economics
55
(
2020
)
2
,
pp. 451-471
Persistent link: https://www.econbiz.de/10012223641
Saved in:
40
Prediction of unemployment rates with time series and machine learning techniques
Katris, Christos
- In:
Computational economics
55
(
2020
)
2
,
pp. 673-706
Persistent link: https://www.econbiz.de/10012223659
Saved in:
41
Short term firm-specific stock forecasting with BDI framework
Ahmed, Mansoor
;
Sriram, Anirudh
;
Singh, Sanjay
- In:
Computational economics
55
(
2020
)
3
,
pp. 745-778
Persistent link: https://www.econbiz.de/10012223671
Saved in:
42
Forecasting financial networks
Caraiani, Petre
- In:
Computational economics
55
(
2020
)
3
,
pp. 983-997
Persistent link: https://www.econbiz.de/10012223690
Saved in:
43
Forecasting short-term oil price with a generalised pattern matching model based on empirical genetic algorithm
Zhao, Lu-Tao
;
Zeng, Guan-Rong
;
He, Ling-yun
;
Meng, Ya
- In:
Computational economics
55
(
2020
)
4
,
pp. 1151-1169
Persistent link: https://www.econbiz.de/10012223706
Saved in:
44
Introduction to topics in modelling financial and macroeconomic time series
Jawadi, Fredj
- In:
Computational economics
56
(
2020
)
1
,
pp. 1-3
Persistent link: https://www.econbiz.de/10012272013
Saved in:
45
Optimal portfolio choice under shadow costs with fixed assets when time-horizon is uncertain
Bellalah, Mondher
;
Zhang, Detao
;
Zhang, Panpan
- In:
Computational economics
56
(
2020
)
1
,
pp. 5-20
Persistent link: https://www.econbiz.de/10012272014
Saved in:
46
Optimal portfolio positioning on multiple assets under ambiguity
Ben Ameur, Hachmi
;
Abbes, Mouna Boujelbène
;
Prigent, …
- In:
Computational economics
56
(
2020
)
1
,
pp. 21-57
Persistent link: https://www.econbiz.de/10012272015
Saved in:
47
Using genetic algorithm and NARX neural network to forecast daily bitcoin price
Han, Jin-Bom
;
Kim, Sun-Hak
;
Jang, Myong-Hun
;
Ri, Kum-Sun
- In:
Computational economics
56
(
2020
)
2
,
pp. 337-353
Persistent link: https://www.econbiz.de/10012272036
Saved in:
48
Optimization of backtesting techniques in automated high frequency trading systems using the d-Backtest PS method
Vezeris, D. Th.
;
Schinas, C. J.
;
Kyrgos, Th. S.
; …
- In:
Computational economics
56
(
2020
)
4
,
pp. 975-1054
Persistent link: https://www.econbiz.de/10012390502
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49
Forecasting corporate bankruptcy using accrual-based models
Jardin, Philippe du
;
Veganzones, David
;
Severin, Eric
- In:
Computational economics
54
(
2019
)
1
,
pp. 7-43
Persistent link: https://www.econbiz.de/10012134066
Saved in:
50
Fast and adaptive cointegration based model for forecasting high frequency financial time series
Arce, Paola
;
Antognini, Jonathan
;
Kristjanpoller …
- In:
Computational economics
54
(
2019
)
1
,
pp. 99-112
Persistent link: https://www.econbiz.de/10012134087
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