Hits ?▲ |
Authors |
Title |
Venue |
Year |
Link |
Author keywords |
130 | Xiong-Fei Zhuang, Lai-Wan Chan |
Volatility Forecasts in Financial Time Series with HMM-GARCH Models. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IDEAL ![In: Intelligent Data Engineering and Automated Learning - IDEAL 2004, 5th International Conference, Exeter, UK, August 25-27, 2004, Proceedings, pp. 807-812, 2004, Springer, 3-540-22881-0. The full citation details ...](Pics/full.jpeg) |
2004 |
DBLP DOI BibTeX RDF |
|
121 | Tetsuya Takaishi |
Markov Chain Monte Carlo on Asymmetric GARCH Model Using the Adaptive Construction Scheme. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ICIC (1) ![In: Emerging Intelligent Computing Technology and Applications, 5th International Conference on Intelligent Computing, ICIC 2009, Ulsan, South Korea, September 16-19, 2009. Proceedings, pp. 1112-1121, 2009, Springer, 978-3-642-04069-6. The full citation details ...](Pics/full.jpeg) |
2009 |
DBLP DOI BibTeX RDF |
GJR-GARCH model, Bayesian inference, Markov Chain Monte Carlo, Metropolis-Hasting algorithm |
121 | Edmond H. C. Wu, Philip L. H. Yu |
Volatility Modelling of Multivariate Financial Time Series by Using ICA-GARCH Models. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IDEAL ![In: Intelligent Data Engineering and Automated Learning - IDEAL 2005, 6th International Conference, Brisbane, Australia, July 6-8, 2005, Proceedings, pp. 571-579, 2005, Springer, 3-540-26972-X. The full citation details ...](Pics/full.jpeg) |
2005 |
DBLP DOI BibTeX RDF |
Financial Engineering, ICA, Volatility, Multivariate Time Series, GARCH |
114 | Liyan Geng, Junhai Ma |
TSK Fuzzy Inference System Based GARCH Model for Forecasting Exchange Rate Volatility. ![Search on Bibsonomy](Pics/bibsonomy.png) |
FSKD (3) ![In: Fifth International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2008, 18-20 October 2008, Jinan, Shandong, China, Proceedings, Volume 3, pp. 103-107, 2008, IEEE Computer Society. The full citation details ...](Pics/full.jpeg) |
2008 |
DBLP DOI BibTeX RDF |
|
89 | Turan G. Bali, Panayiotis Theodossiou |
A conditional-SGT-VaR approach with alternative GARCH models. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Ann. Oper. Res. ![In: Ann. Oper. Res. 151(1), pp. 241-267, 2007. The full citation details ...](Pics/full.jpeg) |
2007 |
DBLP DOI BibTeX RDF |
GARCH models, Skewed generalized t distribution, Expected shortfall, Conditional value at risk |
82 | Rasool Tahmasbi, Sadegh Rezaei |
Change Point Detection in GARCH Models for Voice Activity Detection. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IEEE Trans. Speech Audio Process. ![In: IEEE Trans. Speech Audio Process. 16(5), pp. 1038-1046, 2008. The full citation details ...](Pics/full.jpeg) |
2008 |
DBLP DOI BibTeX RDF |
|
82 | Ari Abramson, Israel Cohen |
Recursive Supervised Estimation of a Markov-Switching GARCH Process in the Short-Time Fourier Transform Domain. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IEEE Trans. Signal Process. ![In: IEEE Trans. Signal Process. 55(7-1), pp. 3227-3238, 2007. The full citation details ...](Pics/full.jpeg) |
2007 |
DBLP DOI BibTeX RDF |
|
82 | Rasool Tahmasbi, Sadegh Rezaei |
A Soft Voice Activity Detection Using GARCH Filter and Variance Gamma Distribution. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IEEE Trans. Speech Audio Process. ![In: IEEE Trans. Speech Audio Process. 15(4), pp. 1129-1134, 2007. The full citation details ...](Pics/full.jpeg) |
2007 |
DBLP DOI BibTeX RDF |
|
82 | Weimin Li, Jianwei Liu, Jiajin Le |
Using GARCH-GRNN Model to Forecast Financial Time Series. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ISCIS ![In: Computer and Information Sciences - ISCIS 2005, 20th International Symposium, Istanbul, Turkey, October 26-28, 2005, Proceedings, pp. 565-574, 2005, Springer, 3-540-29414-7. The full citation details ...](Pics/full.jpeg) |
2005 |
DBLP DOI BibTeX RDF |
|
73 | Tetsuya Takaishi |
An Adaptive Markov Chain Monte Carlo Method for GARCH Model. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Complex (2) ![In: Complex Sciences, First International Conference, Complex 2009, Shanghai, China, February 23-25, 2009. Revised Papers, Part 2, pp. 1424-1434, 2009, Springer, 978-3-642-02468-9. The full citation details ...](Pics/full.jpeg) |
2009 |
DBLP DOI BibTeX RDF |
GARCH model, Bayesian inference, Markov Chain Monte Carlo, Metropolis-Hastings algorithm |
72 | Xinwu Zhang, Yan Wang, Handong Li |
The Contrast of Parametric and Nonparametric Volatility Measurement Based on Chinese Stock Market. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Complex (1) ![In: Complex Sciences, First International Conference, Complex 2009, Shanghai, China, February 23-25, 2009. Revised Papers, Part 1, pp. 618-627, 2009, Springer, 978-3-642-02465-8. The full citation details ...](Pics/full.jpeg) |
2009 |
DBLP DOI BibTeX RDF |
realized volatility, volatility measurement, conditional distribution, GARCH |
72 | Kaijian He, Chi Xie, Kin Keung Lai |
Estimating Real Estate Value-at-Risk Using Wavelet Denoising and Time Series Model. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ICCS (2) ![In: Computational Science - ICCS 2008, 8th International Conference, Kraków, Poland, June 23-25, 2008, Proceedings, Part II, pp. 494-503, 2008, Springer, 978-3-540-69386-4. The full citation details ...](Pics/full.jpeg) |
2008 |
DBLP DOI BibTeX RDF |
Real Estate Market, ARMA-GARCH Model, Wavelet Analysis, Value at Risk |
66 | Paul E. Lynch, Nigel M. Allinson |
Adaptive Filtering for GARCH Models. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IDEAL ![In: Intelligent Data Engineering and Automated Learning - IDEAL 2002, Third International Conference, Manchester, UK, August 12-14, Proceedings, pp. 416-422, 2002, Springer, 3-540-44025-9. The full citation details ...](Pics/full.jpeg) |
2002 |
DBLP DOI BibTeX RDF |
|
64 | Juliana Yim |
A Comparison of Neural Networks with Time Series Models for Forecasting Returns on a Stock Market Index. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IEA/AIE ![In: Developments in Applied Artificial Intelligence, 15th International Conference on Industrial and Engineering, Applications of Artificial Intelligence and Expert Systems, IEA/AIE 2002, Cairns, Australia, June 17-20, 2002, Proceedings, pp. 25-35, 2002, Springer, 3-540-43781-9. The full citation details ...](Pics/full.jpeg) |
2002 |
DBLP DOI BibTeX RDF |
|
57 | Tu Zhou, Laiwan Chan |
Clustered Dynamic Conditional Correlation Multivariate GARCH Model. ![Search on Bibsonomy](Pics/bibsonomy.png) |
DaWaK ![In: Data Warehousing and Knowledge Discovery, 10th International Conference, DaWaK 2008, Turin, Italy, September 2-5, 2008, Proceedings, pp. 206-216, 2008, Springer, 978-3-540-85835-5. The full citation details ...](Pics/full.jpeg) |
2008 |
DBLP DOI BibTeX RDF |
multivariate time series analysis, DCC, GARCH |
56 | Turan G. Bali |
Modeling the dynamics of interest rate volatility with skewed fat-tailed distributions. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Ann. Oper. Res. ![In: Ann. Oper. Res. 151(1), pp. 151-178, 2007. The full citation details ...](Pics/full.jpeg) |
2007 |
DBLP DOI BibTeX RDF |
Modeling interest rates, Stochastic volatility, Interest rate options, Diffusions, GARCH |
56 | Victor Fang, Vincent C. S. Lee, Yee Choon Lim |
Volatility Transmission Between Stock and Bond Markets: Evidence from US and Australia. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IDEAL ![In: Intelligent Data Engineering and Automated Learning - IDEAL 2005, 6th International Conference, Brisbane, Australia, July 6-8, 2005, Proceedings, pp. 580-587, 2005, Springer, 3-540-26972-X. The full citation details ...](Pics/full.jpeg) |
2005 |
DBLP DOI BibTeX RDF |
Comovement, volatility transmission, conditional varaince, GARCH (1,1) |
51 | Benjamin Ribba, Hanane El Garch, Sylvie Brunet, Emmanuel Grenier, Filippo Castiglione, H. Poulet, Philippe Vanhems |
Time-Course Analysis of Main Markers of Primary Infection in Cats with the Feline Immunodeficiency Virus. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Comput. Math. Methods Medicine ![In: Comput. Math. Methods Medicine 2012, pp. 342602:1-342602:9, 2012. The full citation details ...](Pics/full.jpeg) |
2012 |
DBLP DOI BibTeX RDF |
|
50 | Maryam Amirmazlaghani, Hamidreza Amindavar, Alireza Moghaddamjoo |
Speckle Suppressionin SAR Images Using the 2-D GARCH Model. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IEEE Trans. Image Process. ![In: IEEE Trans. Image Process. 18(2), pp. 250-259, 2009. The full citation details ...](Pics/full.jpeg) |
2009 |
DBLP DOI BibTeX RDF |
|
50 | José Miguel Hernández-Lobato, Daniel Hernández-Lobato, Alberto Suárez 0001 |
GARCH Processes with Non-parametric Innovations for Market Risk Estimation. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ICANN (2) ![In: Artificial Neural Networks - ICANN 2007, 17th International Conference, Porto, Portugal, September 9-13, 2007, Proceedings, Part II, pp. 718-727, 2007, Springer, 978-3-540-74693-5. The full citation details ...](Pics/full.jpeg) |
2007 |
DBLP DOI BibTeX RDF |
|
50 | Piotr Kokoszka, Gilles Teyssière, Aonan Zhang |
Confidence Intervals for the Autocorrelations of the Squares of GARCH Sequences. ![Search on Bibsonomy](Pics/bibsonomy.png) |
International Conference on Computational Science ![In: Computational Science - ICCS 2004, 4th International Conference, Kraków, Poland, June 6-9, 2004, Proceedings, Part IV, pp. 827-834, 2004, Springer, 3-540-22129-8. The full citation details ...](Pics/full.jpeg) |
2004 |
DBLP DOI BibTeX RDF |
|
41 | Ling-Bing Tang, Huan-Ye Sheng, Ling-Xiao Tang |
GARCH prediction using spline wavelet support vector machine. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Neural Comput. Appl. ![In: Neural Comput. Appl. 18(8), pp. 913-917, 2009. The full citation details ...](Pics/full.jpeg) |
2009 |
DBLP DOI BibTeX RDF |
Volatility forecasting, Spline wavelet support vector machine, GARCH |
40 | Jian-ping Qiu, Lichao Chen, Yingjun Zhang |
A Prediction Algorithm Based on Time Series Analysis. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ISNN (2) ![In: Advances in Neural Networks - ISNN 2008, 5th International Symposium on Neural Networks, ISNN 2008, Beijing, China, September 24-28, 2008, Proceedings, Part II, pp. 624-631, 2008, Springer, 978-3-540-87733-2. The full citation details ...](Pics/full.jpeg) |
2008 |
DBLP DOI BibTeX RDF |
Semantic Web of Trust, CLRM, VAR-GARCH, Time Series Analysis |
35 | Kuo-Shing Chen, Shen-Ho Chang |
Volatility Co-Movement between Bitcoin and Stablecoins: BEKK-GARCH and Copula-DCC-GARCH Approaches. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Axioms ![In: Axioms 11(6), pp. 259, 2022. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP DOI BibTeX RDF |
|
35 | Alexander C. M. Zeitlberger, Alexander Brauneis |
Modeling carbon spot and futures price returns with GARCH and Markov switching GARCH models. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Central Eur. J. Oper. Res. ![In: Central Eur. J. Oper. Res. 24(1), pp. 149-176, 2016. The full citation details ...](Pics/full.jpeg) |
2016 |
DBLP DOI BibTeX RDF |
|
35 | Yiyu Huang, Wenjing Su, Xiang Li 0033 |
Comparison of BEKK GARCH and DCC GARCH Models: An Empirical Study. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ADMA (2) ![In: Advanced Data Mining and Applications - 6th International Conference, ADMA 2010, Chongqing, China, November 19-21, 2010, Proceedings, Part II, pp. 99-110, 2010, Springer, 978-3-642-17312-7. The full citation details ...](Pics/full.jpeg) |
2010 |
DBLP DOI BibTeX RDF |
|
35 | Soosung Hwang, Pedro L. Valls Pereira |
The Effects of Structural Breaks in ARCH and GARCH Parameters on Persistence of GARCH Models. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Commun. Stat. Simul. Comput. ![In: Commun. Stat. Simul. Comput. 37(3), pp. 571-578, 2008. The full citation details ...](Pics/full.jpeg) |
2008 |
DBLP DOI BibTeX RDF |
|
34 | Ari Abramson, Israel Cohen |
Single-Sensor Audio Source Separation Using Classification and Estimation Approach and GARCH Modeling. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IEEE Trans. Speech Audio Process. ![In: IEEE Trans. Speech Audio Process. 16(8), pp. 1528-1540, 2008. The full citation details ...](Pics/full.jpeg) |
2008 |
DBLP DOI BibTeX RDF |
|
34 | Chaoba Nikkie Anand, Caterina M. Scoglio, Balasubramaniam Natarajan |
GARCH - non-linear time series model for traffic modeling and prediction. ![Search on Bibsonomy](Pics/bibsonomy.png) |
NOMS ![In: IEEE/IFIP Network Operations and Management Symposium: Pervasive Management for Ubioquitous Networks and Services, NOMS 2008, 7-11 April 2008, Salvador, Bahia, Brazil, pp. 694-697, 2008, IEEE, 978-1-4244-2066-7. The full citation details ...](Pics/full.jpeg) |
2008 |
DBLP DOI BibTeX RDF |
|
34 | Ari Abramson, Emanuël A. P. Habets, Sharon Gannot, Israel Cohen |
Dual-microphone speech dereverberation using GARCH modeling. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ICASSP ![In: Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2008, March 30 - April 4, 2008, Caesars Palace, Las Vegas, Nevada, USA, pp. 4565-4568, 2008, IEEE, 1-4244-1484-9. The full citation details ...](Pics/full.jpeg) |
2008 |
DBLP DOI BibTeX RDF |
|
34 | Xiaofei Du, Yuanjun Zhou |
A GARCH Modeling Approach for Constant Speed Drive Residual Life Predicting of Aircraft Generator. ![Search on Bibsonomy](Pics/bibsonomy.png) |
FSKD (5) ![In: Fifth International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2008, 18-20 October 2008, Jinan, Shandong, China, Proceedings, Volume 5, pp. 587-592, 2008, IEEE Computer Society. The full citation details ...](Pics/full.jpeg) |
2008 |
DBLP DOI BibTeX RDF |
|
32 | Richard Gerlach, Cathy W. S. Chen |
Bayesian inference and model comparison for asymmetric smooth transition heteroskedastic models. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Stat. Comput. ![In: Stat. Comput. 18(4), pp. 391-408, 2008. The full citation details ...](Pics/full.jpeg) |
2008 |
DBLP DOI BibTeX RDF |
Mixture normal, Posterior model probability, Asymmetric volatility model, Smooth transition, Value-at-Risk, Markov chain Monte Carlo method |
32 | Kin Keung Lai, Kaijian He, Chi Xie, Shou Chen |
Market Risk for Nonferrous Metals: A Wavelet Based VaR Approach. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ISDA (1) ![In: Proceedings of the Sixth International Conference on Intelligent Systems Design and Applications (ISDA 2006), October 16-18, 2006, Jinan, China, pp. 1179-1184, 2006, IEEE Computer Society, 0-7695-2528-8. The full citation details ...](Pics/full.jpeg) |
2006 |
DBLP DOI BibTeX RDF |
|
32 | Kin Keung Lai, Kaijian He, Chi Xie, Shou Chen |
Market Risk Measurement for Crude Oil: A Wavelet Based VaR Approach. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IJCNN ![In: Proceedings of the International Joint Conference on Neural Networks, IJCNN 2006, part of the IEEE World Congress on Computational Intelligence, WCCI 2006, Vancouver, BC, Canada, 16-21 July 2006, pp. 2129-2136, 2006, IEEE, 0-7803-9490-9. The full citation details ...](Pics/full.jpeg) |
2006 |
DBLP DOI BibTeX RDF |
|
32 | Irwin Ma, Tony Wong, Thiagas Sankar, Raymond Siu |
Forecasting the volatility of a financial index by wavelet transform and evolutionary algorithm. ![Search on Bibsonomy](Pics/bibsonomy.png) |
SMC (6) ![In: Proceedings of the IEEE International Conference on Systems, Man & Cybernetics: The Hague, Netherlands, 10-13 October 2004, pp. 5824-5829, 2004, IEEE, 0-7803-8566-7. The full citation details ...](Pics/full.jpeg) |
2004 |
DBLP DOI BibTeX RDF |
|
32 | Chokri Slim |
Forecasting the Volatility of Stock Index Returns: A Stochastic Neural Network Approach. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ICCSA (3) ![In: Computational Science and Its Applications - ICCSA 2004, International Conference, Assisi, Italy, May 14-17, 2004, Proceedings, Part III, pp. 935-944, 2004, Springer, 3-540-22057-7. The full citation details ...](Pics/full.jpeg) |
2004 |
DBLP DOI BibTeX RDF |
|
32 | Gleb V. Nosovskij |
Mathematical Analysis of Stock Market Movement. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CW ![In: 3rd International Conference on Cyberworlds (CW 2004), 18-20 November 2004, Tokyo, Japan, pp. 320-321, 2004, IEEE Computer Society, 0-7695-2140-1. The full citation details ...](Pics/full.jpeg) |
2004 |
DBLP DOI BibTeX RDF |
|
23 | Manying Bai, Lujie Sun |
Application of Copula and Copula-CVaR in the Multivariate Portfolio Optimization. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ESCAPE ![In: Combinatorics, Algorithms, Probabilistic and Experimental Methodologies, First International Symposium, ESCAPE 2007, Hangzhou, China, April 7-9, 2007, Revised Selected Papers, pp. 231-242, 2007, Springer, 978-3-540-74449-8. The full citation details ...](Pics/full.jpeg) |
2007 |
DBLP DOI BibTeX RDF |
CVaR, Portfolio Optimization, Copula, GARCH |
23 | Gert Van Dijck, Jo Van Vaerenbergh, Marc M. Van Hulle |
Information Theoretic Derivations for Causality Detection: Application to Human Gait. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ICANN (2) ![In: Artificial Neural Networks - ICANN 2007, 17th International Conference, Porto, Portugal, September 9-13, 2007, Proceedings, Part II, pp. 159-168, 2007, Springer, 978-3-540-74693-5. The full citation details ...](Pics/full.jpeg) |
2007 |
DBLP DOI BibTeX RDF |
Conditional relative entropy, surrogate testing, VARMA-GARCH, mutual information, human gait |
23 | Stefanos G. Giakoumatos, Petros Dellaportas, Dimitris Nicolas Politis |
Bayesian analysis of the unobserved ARCH model. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Stat. Comput. ![In: Stat. Comput. 15(2), pp. 103-111, 2005. The full citation details ...](Pics/full.jpeg) |
2005 |
DBLP DOI BibTeX RDF |
ARCH components, Markov chain Monte Carlo, GARCH, auxiliary variables |
23 | Gordon H. Dash, Choudary R. Hanumara, Nina Kajiji |
Neural network architectures for efficient modeling of FX futures options volatility. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Oper. Res. ![In: Oper. Res. 3(1), pp. 3-23, 2003. The full citation details ...](Pics/full.jpeg) |
2003 |
DBLP DOI BibTeX RDF |
FX Futures Options Volatility, Radial Basis Function, GARCH |
17 | Roy Cerqueti, Hayette Gatfaoui, Giulia Rotundo |
Correction: Resilience for financial networks under a multivariate GARCH model of stock index returns with multiple regimes. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Ann. Oper. Res. ![In: Ann. Oper. Res. 335(1), pp. 637, April 2024. The full citation details ...](Pics/full.jpeg) |
2024 |
DBLP DOI BibTeX RDF |
|
17 | Huimin Han, Zehua Liu, Mauricio Barrios Barrios, Jiuhao Li, Zhixiong Zeng, Nadia Sarhan, Emad Mahrous Awwad |
Time series forecasting model for non-stationary series pattern extraction using deep learning and GARCH modeling. ![Search on Bibsonomy](Pics/bibsonomy.png) |
J. Cloud Comput. ![In: J. Cloud Comput. 13(1), pp. 2, December 2024. The full citation details ...](Pics/full.jpeg) |
2024 |
DBLP DOI BibTeX RDF |
|
17 | Hanwen Xuan, Luca Maestrini, Feng Chen, Clara Grazian |
Stochastic variational inference for GARCH models. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Stat. Comput. ![In: Stat. Comput. 34(1), pp. 45, February 2024. The full citation details ...](Pics/full.jpeg) |
2024 |
DBLP DOI BibTeX RDF |
|
17 | Yuhyeong Jang, Raanju R. Sundararajan, Wagner Barreto-Souza |
A multivariate heavy-tailed integer-valued GARCH process with EM algorithm-based inference. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Stat. Comput. ![In: Stat. Comput. 34(1), pp. 56, February 2024. The full citation details ...](Pics/full.jpeg) |
2024 |
DBLP DOI BibTeX RDF |
|
17 | Bichen Wang |
Heuristic method of adaptive filtering for noisy GARCH processes. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Signal Process. ![In: Signal Process. 214, pp. 109234, January 2024. The full citation details ...](Pics/full.jpeg) |
2024 |
DBLP DOI BibTeX RDF |
|
17 | David Alaminos, M. Belén Salas, Antonio Partal-Ureña |
Hybrid ARMA-GARCH-Neural Networks for intraday strategy exploration in high-frequency trading. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Pattern Recognit. ![In: Pattern Recognit. 148, pp. 110139, April 2024. The full citation details ...](Pics/full.jpeg) |
2024 |
DBLP DOI BibTeX RDF |
|
17 | Yongrong Huang, Huiqing Wang, Zhide Chen, Chen Feng, Kexin Zhu, Xu Yang 0002, Wencheng Yang |
Evaluating Cryptocurrency Market Risk on the Blockchain: An Empirical Study Using the ARMA-GARCH-VaR Model. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IEEE Open J. Comput. Soc. ![In: IEEE Open J. Comput. Soc. 5, pp. 83-94, 2024. The full citation details ...](Pics/full.jpeg) |
2024 |
DBLP DOI BibTeX RDF |
|
17 | Rui Zhang |
Asymmetric beta-binomial GARCH models for time series with bounded support. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Appl. Math. Comput. ![In: Appl. Math. Comput. 470, pp. 128556, 2024. The full citation details ...](Pics/full.jpeg) |
2024 |
DBLP DOI BibTeX RDF |
|
17 | Sneha S. Bagalkot, H. A. Dinesha, Nagaraj Naik |
Novel grey wolf optimizer based parameters selection for GARCH and ARIMA models for stock price prediction. ![Search on Bibsonomy](Pics/bibsonomy.png) |
PeerJ Comput. Sci. ![In: PeerJ Comput. Sci. 10, pp. e1735, 2024. The full citation details ...](Pics/full.jpeg) |
2024 |
DBLP DOI BibTeX RDF |
|
17 | Lanyu Xiong, Fukang Zhu |
Robust estimation for the one-parameter exponential family integer-valued GARCH(1,1) models based on a modified Tukey's biweight function. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Comput. Stat. ![In: Comput. Stat. 39(2), pp. 495-522, April 2024. The full citation details ...](Pics/full.jpeg) |
2024 |
DBLP DOI BibTeX RDF |
|
17 | Yuanqi Chu, Keming Yu |
Bayesian log-linear beta-negative binomial integer-valued Garch model. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Comput. Stat. ![In: Comput. Stat. 39(3), pp. 1183-1202, May 2024. The full citation details ...](Pics/full.jpeg) |
2024 |
DBLP DOI BibTeX RDF |
|
17 | Pengfei Zhao, Haoren Zhu, Wilfred Siu Hung Ng, Dik Lun Lee |
From GARCH to Neural Network for Volatility Forecast. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/2402.06642, 2024. The full citation details ...](Pics/full.jpeg) |
2024 |
DBLP DOI BibTeX RDF |
|
17 | Narayan Tondapu |
Analyzing Currency Fluctuations: A Comparative Study of GARCH, EWMA, and IV Models for GBP/USD and EUR/GBP Pairs. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/2402.07435, 2024. The full citation details ...](Pics/full.jpeg) |
2024 |
DBLP DOI BibTeX RDF |
|
17 | Zeynab Aghabazaz, Iraj Kazemi, Alireza Nematollahi |
Dynamic mixed models with heterogeneous covariance components using multivariate GARCH innovations and the Dirichlet process mixture. ![Search on Bibsonomy](Pics/bibsonomy.png) |
J. Comput. Appl. Math. ![In: J. Comput. Appl. Math. 438, pp. 115579, March 2024. The full citation details ...](Pics/full.jpeg) |
2024 |
DBLP DOI BibTeX RDF |
|
17 | Pengfei Zhao, Haoren Zhu, Wilfred Siu Hung Ng, Dik Lun Lee |
From GARCH to Neural Network for Volatility Forecast. ![Search on Bibsonomy](Pics/bibsonomy.png) |
AAAI ![In: Thirty-Eighth AAAI Conference on Artificial Intelligence, AAAI 2024, Thirty-Sixth Conference on Innovative Applications of Artificial Intelligence, IAAI 2024, Fourteenth Symposium on Educational Advances in Artificial Intelligence, EAAI 2014, February 20-27, 2024, Vancouver, Canada, pp. 16998-17006, 2024, AAAI Press. The full citation details ...](Pics/full.jpeg) |
2024 |
DBLP DOI BibTeX RDF |
|
17 | Fayadh Alenezi, Ammar Armghan, Abdullah G. Alharbi, Saban Öztürk, Sara A. Althubiti, Romany Fouad Mansour |
Reverse gamma correction based GARCH model for underwater image dehazing and detail exposure. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Expert Syst. Appl. ![In: Expert Syst. Appl. 232, pp. 120856, December 2023. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP DOI BibTeX RDF |
|
17 | Yanlin Shi |
A simulation study on the Markov regime-switching zero-drift GARCH model. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Ann. Oper. Res. ![In: Ann. Oper. Res. 330(1), pp. 1-20, November 2023. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP DOI BibTeX RDF |
|
17 | Xuqin Wang, Muyi Li |
Bootstrapping the transformed goodness-of-fit test on heavy-tailed GARCH models. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Comput. Stat. Data Anal. ![In: Comput. Stat. Data Anal. 184, pp. 107744, August 2023. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP DOI BibTeX RDF |
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17 | Bao Quoc Ta, Nguyen H. Q. Khai |
Portfolio Optimization Based on Artificial Neural Network and GARCH-EVT-Copula Models. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Int. J. Uncertain. Fuzziness Knowl. Based Syst. ![In: Int. J. Uncertain. Fuzziness Knowl. Based Syst. 31(Supplement-2), pp. 289-306, December 2023. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP DOI BibTeX RDF |
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17 | Tongwei Zhang, Lianyan Fu, Dehui Wang, Zhuoxi Yu |
A Time-Varying Coefficient Double Threshold GARCH Model with Explanatory Variables. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Axioms ![In: Axioms 12(5), pp. 476, May 2023. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP DOI BibTeX RDF |
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17 | Fangrou Chai, Yuan Li, Xingfa Zhang, Zhongxiu Chen |
Daily Semiparametric GARCH Model Estimation Using Intraday High-Frequency Data. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Symmetry ![In: Symmetry 15(4), pp. 908, March 2023. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP DOI BibTeX RDF |
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17 | Thabani Ndlovu, Delson Chikobvu |
A Wavelet-Decomposed WD-ARMA-GARCH-EVT Model Approach to Comparing the Riskiness of the BitCoin and South African Rand Exchange Rates. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Data ![In: Data 8(7), pp. 122, 2023. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP DOI BibTeX RDF |
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17 | Vahid Reza Gharehbaghi, Hashem Kalbkhani, Ehsan Noroozinejad Farsangi, Tony T. Y. Yang, Seyedali Mirjalili |
A data-driven approach for linear and nonlinear damage detection using variational mode decomposition and GARCH model. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Eng. Comput. ![In: Eng. Comput. 39(3), pp. 2017-2034, 2023. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP DOI BibTeX RDF |
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17 | Emmanuel Alphonsus Akpan, Kazeem Etitayo Lasisi, Imoh Udo Moffat, Ubon Akpan Abasiekwere |
Appraisal of excess Kurtosis through outlier-modified GARCH-type models. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Commun. Stat. Simul. Comput. ![In: Commun. Stat. Simul. Comput. 52(4), pp. 1523-1537, April 2023. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP DOI BibTeX RDF |
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17 | Yakoub Boularouk |
Standard Laplace quasi-maximum likelihood estimator for GARCH processes. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Commun. Stat. Simul. Comput. ![In: Commun. Stat. Simul. Comput. 52(4), pp. 1490-1503, April 2023. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP DOI BibTeX RDF |
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17 | Baye Matar Kandji |
Exponential control of the trajectories of iterated function systems with application to semi-strong GARCH models. ![Search on Bibsonomy](Pics/bibsonomy.png) |
J. Appl. Probab. ![In: J. Appl. Probab. 60(4), pp. 1501-1515, December 2023. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP DOI BibTeX RDF |
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17 | Junping Hong, Yi Yan, Ercan Engin Kuruoglu, Wai Kin Chan |
Multivariate Time Series Forecasting With GARCH Models on Graphs. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IEEE Trans. Signal Inf. Process. over Networks ![In: IEEE Trans. Signal Inf. Process. over Networks 9, pp. 557-568, 2023. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP DOI BibTeX RDF |
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17 | Jakub Michanków, Lukasz Kwiatkowski, Janusz Morajda |
Combining Deep Learning and GARCH Models for Financial Volatility and Risk Forecasting. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/2310.01063, 2023. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP DOI BibTeX RDF |
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17 | Zhengtao Gui, Haoyuan Li, Sijie Xu, Yu Chen |
A Nonlinear Method for time series forecasting using VMD-GARCH-LSTM model. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/2310.08812, 2023. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP DOI BibTeX RDF |
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17 | Martin Magris, Alexandros Iosifidis |
Variational Inference for GARCH-family Models. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/2310.03435, 2023. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP DOI BibTeX RDF |
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17 | Khreshna Syuhada, Venansius Tjahjono, Arief Hakim |
Improving Value-at-Risk forecast using GA-ARMA-GARCH and AI-KDE models. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Appl. Soft Comput. ![In: Appl. Soft Comput. 148, pp. 110885, November 2023. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP DOI BibTeX RDF |
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17 | Min Hyung Park, Dongyan Nan, Yerin Kim, Jang-Hyun Kim 0001 |
CBOE Volatility Index Forecasting under COVID-19: An Integrated BiLSTM-ARIMA-GARCH Model. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Comput. Syst. Sci. Eng. ![In: Comput. Syst. Sci. Eng. 47(1), pp. 121-134, 2023. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP DOI BibTeX RDF |
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17 | |
Retracted: Analysis of Factors Influencing Stock Market Volatility Based on GARCH-MIDAS Model. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Complex. ![In: Complex. 2023, pp. 9806096:1-9806096:1, 2023. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP DOI BibTeX RDF |
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17 | Jine Liu, Ling Yan |
Correlation Analysis of Media Sentiment and Stock Returns Based on ARMA-GARCH-Copula Model. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ICEME ![In: Proceedings of the 14th International Conference on E-business, Management and Economics, ICEME 2023, Beijing, China, July 21-23, 2023, pp. 282-289, 2023, ACM. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP DOI BibTeX RDF |
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17 | Roengchai Tansuchat, Payap Tarkhamtham, Wiranya Puntoon, Rungrapee Phadkantha |
Forecasting Precious Metals Prices Volatility with the Global Economic Policy Uncertainty Index: The GARCH-MIDAS Technique for Different Frequency Data Sets. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IUKM (1) ![In: Integrated Uncertainty in Knowledge Modelling and Decision Making - 10th International Symposium, IUKM 2023, Kanazawa, Japan, November 2-4, 2023, Proceedings, Part I, pp. 152-164, 2023, Springer, 978-3-031-46774-5. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP DOI BibTeX RDF |
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17 | Woraphon Yamaka, Paravee Maneejuk, Sukrit Thongkairat |
Lasso and Ridge for GARCH-X Models. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IUKM (1) ![In: Integrated Uncertainty in Knowledge Modelling and Decision Making - 10th International Symposium, IUKM 2023, Kanazawa, Japan, November 2-4, 2023, Proceedings, Part I, pp. 165-176, 2023, Springer, 978-3-031-46774-5. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP DOI BibTeX RDF |
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17 | Nguyen T. Anh, Mai D. Lam, Bao Quoc Ta |
Mean-Variance Portfolio Allocation Using ARMA-GARCH-Stable and Artificial Neural Network Models. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IUKM (1) ![In: Integrated Uncertainty in Knowledge Modelling and Decision Making - 10th International Symposium, IUKM 2023, Kanazawa, Japan, November 2-4, 2023, Proceedings, Part I, pp. 177-186, 2023, Springer, 978-3-031-46774-5. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP DOI BibTeX RDF |
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17 | Chenyu Gao, Ziping Zhao 0002, Daniel P. Palomar |
A Novel Algorithm for GARCH Model Estimation. ![Search on Bibsonomy](Pics/bibsonomy.png) |
SSP ![In: IEEE Statistical Signal Processing Workshop, SSP 2023, Hanoi, Vietnam, July 2-5, 2023, pp. 210-214, 2023, IEEE, 978-1-6654-5245-8. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP DOI BibTeX RDF |
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17 | Ferry Vincenttius Ferdinand, Kie Van Ivanky Saputra, Michelle, Johan Sebastian Edbert |
Forecasting Stock Price Index of Four Asian Countries During COVID-19 Pandemic Using ARMA-GARCH and RNN Methods. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IEEM ![In: IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2023, Singapore, December 18-21, 2023, pp. 974-978, 2023, IEEE, 979-8-3503-2315-3. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP DOI BibTeX RDF |
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17 | Martin Magris, Alexandros Iosifidis |
Variational Inference for GARCH-family Models. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ICAIF ![In: 4th ACM International Conference on AI in Finance, ICAIF 2023, Brooklyn, NY, USA, November 27-29, 2023, pp. 541-548, 2023, ACM. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP DOI BibTeX RDF |
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17 | Xulong Yan, Cheng Zuo, Junjun Yang, Zhipeng Li, Derong Zhu, Junjie Yan |
Analysis and prediction model based on ARMI-GARCH and single objective optimization. ![Search on Bibsonomy](Pics/bibsonomy.png) |
EBIMCS ![In: Proceedings of the 6th International Conference on E-Business, Information Management and Computer Science, EBIMCS 2023, Hong Kong, SAR, China, December 30-31, 2023, pp. 146-152, 2023, ACM. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP DOI BibTeX RDF |
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17 | Samreen Fatima, Mudassir Uddin |
On the forecasting of multivariate financial time series using hybridization of DCC-GARCH model and multivariate ANNs. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Neural Comput. Appl. ![In: Neural Comput. Appl. 34(24), pp. 21911-21925, 2022. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP DOI BibTeX RDF |
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17 | Jose Augusto Fiorucci, Geraldo Nunes Silva, Flavio Barboza |
Reaction trend system with GARCH quantiles as action points. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Expert Syst. Appl. ![In: Expert Syst. Appl. 198, pp. 116750, 2022. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP DOI BibTeX RDF |
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17 | Kshitij Kakade, Aswini Kumar Mishra, Kshitish Ghate, Shivang Gupta |
Forecasting Commodity Market Returns Volatility: A Hybrid Ensemble Learning GARCH-LSTM based Approach. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Intell. Syst. Account. Finance Manag. ![In: Intell. Syst. Account. Finance Manag. 29(2), pp. 103-117, 2022. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP DOI BibTeX RDF |
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17 | Fabrizio Laurini, Paul Fearnhead, Jonathan A. Tawn |
Limit theory and robust evaluation methods for the extremal properties of GARCH(p, q) processes. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Stat. Comput. ![In: Stat. Comput. 32(6), pp. 104, 2022. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP DOI BibTeX RDF |
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17 | Eunho Koo, Geonwoo Kim |
A Hybrid Prediction Model Integrating GARCH Models With a Distribution Manipulation Strategy Based on LSTM Networks for Stock Market Volatility. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IEEE Access ![In: IEEE Access 10, pp. 34743-34754, 2022. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP DOI BibTeX RDF |
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17 | Woraphon Yamaka, Jianxu Liu, Mingyang Li, Paravee Maneejuk, Hai Q. Dinh 0001 |
Analyzing the Causality and Dependence between Exchange Rate and Real Estate Prices in Boom-and-Bust Markets: Quantile Causality and DCC Copula GARCH Approaches. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Axioms ![In: Axioms 11(3), pp. 113, 2022. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP DOI BibTeX RDF |
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17 | Ji Ma, Xiaoqing Li, Jianxu Liu, Jiande Cui, Mingzhi Zhang, Songsak Sriboonchitta |
Comparison of Systemic Financial Risks in the US before and after the COVID-19 Outbreak - A Copula-GARCH with CES Approach. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Axioms ![In: Axioms 11(12), pp. 669, 2022. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP DOI BibTeX RDF |
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17 | Danni Xie, Xin Liang, Ruilin Liang |
Self-Weighted Quasi-Maximum Likelihood Estimators for a Class of MA-GARCH Model. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Symmetry ![In: Symmetry 14(8), pp. 1723, 2022. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP DOI BibTeX RDF |
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17 | Xiaoling Li, Xingfa Zhang, Yuan Li |
High-Dimensional Conditional Covariance Matrices Estimation Using a Factor-GARCH Model. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Symmetry ![In: Symmetry 14(1), pp. 158, 2022. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP DOI BibTeX RDF |
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17 | Reza Sharbati, Hamidreza Ramazi, Faramarz Khoshnoudian, Toktam Valizadeh, Mohammadreza Koopialipoor, Danial Jahed Armaghani |
The smooth transition GARCH model for simulation of highly nonstationary earthquake ground motions. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Eng. Comput. ![In: Eng. Comput. 38(2), pp. 1529-1541, 2022. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP DOI BibTeX RDF |
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17 | Svetlana Sapuric, Angelika I. Kokkinaki, Ifigenia Georgiou |
The relationship between Bitcoin returns, volatility and volume: asymmetric GARCH modeling. ![Search on Bibsonomy](Pics/bibsonomy.png) |
J. Enterp. Inf. Manag. ![In: J. Enterp. Inf. Manag. 35(6), pp. 1506-1521, 2022. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP DOI BibTeX RDF |
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17 | Y. Boubacar Mainassara, O. Kadmiri, Bruno Saussereau |
Estimation of multivariate asymmetric power GARCH models. ![Search on Bibsonomy](Pics/bibsonomy.png) |
J. Multivar. Anal. ![In: J. Multivar. Anal. 192, pp. 105073, 2022. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP DOI BibTeX RDF |
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17 | Yuanbo Li, Chi Tim Ng, Chun Yip Yau |
GARCH-type factor model. ![Search on Bibsonomy](Pics/bibsonomy.png) |
J. Multivar. Anal. ![In: J. Multivar. Anal. 190, pp. 105001, 2022. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP DOI BibTeX RDF |
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17 | Hanqing Li, Xiaohui Liu, Yuting Chen, Yawen Fan |
Testing for Serial Correlation in Autoregressive Exogenous Models with Possible GARCH Errors. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Entropy ![In: Entropy 24(8), pp. 1076, 2022. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP DOI BibTeX RDF |
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17 | Jishun Ou, Xiangmei Huang, Yang Zhou, Zhigang Zhou, Qinghui Nie |
Traffic Volatility Forecasting Using an Omnibus Family GARCH Modeling Framework. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Entropy ![In: Entropy 24(10), pp. 1392, 2022. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP DOI BibTeX RDF |
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17 | Hengjing Zhang, Huanling Liu, Dongdong Cui, Fang Zhang |
A Height Nonlinear Velocity Field Algorithm for CORS Station Based on GARCH Model. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Sensors ![In: Sensors 22(19), pp. 7589, 2022. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP DOI BibTeX RDF |
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17 | |
Analysis of Factors Influencing Stock Market Volatility Based on GARCH-MIDAS Model. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Complex. ![In: Complex. 2022, pp. 6176451:1-6176451:10, 2022. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP DOI BibTeX RDF |
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17 | Jun Zhao, Yi Zhang, Sheng Wu, Liming Shen |
Data-driven and distribution-free estimation of tailed-related risks for GARCH models using composite asymmetric least squares regression. ![Search on Bibsonomy](Pics/bibsonomy.png) |
J. Comput. Appl. Math. ![In: J. Comput. Appl. Math. 403, pp. 113862, 2022. The full citation details ...](Pics/full.jpeg) |
2022 |
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