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Adoption of deep learning Markov model combined with copula function in portfolio risk measurement


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Stockwin, J. A. A. Circles of compensation: economic growth and the globalization of japan by kent e. calder. Journal of Japanese Studies, 2019, 45(1):pp. 177–181. StockwinJ. A. A. Circles of compensation: economic growth and the globalization of japan by kent e. calder Journal of Japanese Studies 2019 45 1 177 181 Search in Google Scholar

Qishou Ke, Shaofei Wu, Mingqing Wang, Yuntao Zou. Evaluation of Developer Efficiency Based on Improved DEA Model, Wireless Personal Communications, 2018, 102(4):pp. 3843–3849. KeQishou WuShaofei WangMingqing ZouYuntao Evaluation of Developer Efficiency Based on Improved DEA Model Wireless Personal Communications 2018 102 4 3843 3849 Search in Google Scholar

Wei-Shun, K., Tzu-Chuan, K., Chang-Cheng, C., Li-Hsun, W., Kuei-Tzu, Y. Contagion in international stock markets after the subprime mortgage crisis. The Chinese Economy, 2018, 51(2):pp. 130–153. Wei-ShunK. Tzu-ChuanK. Chang-ChengC. Li-HsunW. Kuei-TzuY. Contagion in international stock markets after the subprime mortgage crisis The Chinese Economy 2018 51 2 130 153 Search in Google Scholar

Rodriguez-Roblero, M. J., Ayon, J. J., Cascante, G., Pandey, M. D., Alyousef, R., Topper, T. Application of correlation analysis techniques to surface wave testing for the evaluation of reinforced concrete structural elements. NDT & E International, 2019, (102):pp. 68–76. Rodriguez-RobleroM. J. AyonJ. J. CascanteG. PandeyM. D. AlyousefR. TopperT. Application of correlation analysis techniques to surface wave testing for the evaluation of reinforced concrete structural elements NDT & E International 2019 102 68 76 Search in Google Scholar

Lobo, M., Guntur, R. D. Spearman's rank correlation analysis on public perception toward health partnership projects between indonesia and australia in east nusa tenggara province. Journal of Physics Conference, 2018):pp. 1116. LoboM. GunturR. D. Spearman's rank correlation analysis on public perception toward health partnership projects between indonesia and australia in east nusa tenggara province Journal of Physics Conference 2018 1116 Search in Google Scholar

Abraham, T. W. Estimating the effects of financial access on poor farmers in rural northern nigeria. Financial Innovation, 2018, 4(1):pp. 25. AbrahamT. W. Estimating the effects of financial access on poor farmers in rural northern nigeria Financial Innovation 2018 4 1 25 Search in Google Scholar

Bruneau, C., Flageollet, A., Peng, Z. Economic and financial risk factors, copula dependence and risk sensitivity of large multi-asset class portfolios. Annals of Operations Research, 2019, (284):pp. 165–197. BruneauC. FlageolletA. PengZ. Economic and financial risk factors, copula dependence and risk sensitivity of large multi-asset class portfolios Annals of Operations Research 2019 284 165 197 Search in Google Scholar

Brahim, B., Fatah, B., Djabrane, Y. Copula conditional tail expectation for multivariate financial risks. Arab Journal of Mathematical Sciences, 2018, 24(1)):pp. 82–100. BrahimB. FatahB. DjabraneY. Copula conditional tail expectation for multivariate financial risks Arab Journal of Mathematical Sciences 2018 24 1 82 100 Search in Google Scholar

Patton, A. J. A review of copula models for economic time series. Journal of Multivariate Analysis, 2012, (110):pp. 4–18. PattonA. J. A review of copula models for economic time series Journal of Multivariate Analysis 2012 110 4 18 Search in Google Scholar

Yue, P., Shenwei, O., Limao, Z., Wenjing, Z., Xianguo, W., Heng, L. Modeling risks in dependent systems: a copula-bayesian approach. Reliability Engineering & System Safety, 2019, (188):pp. 416–431. YueP. ShenweiO. LimaoZ. WenjingZ. XianguoW. HengL. Modeling risks in dependent systems: a copula-bayesian approach Reliability Engineering & System Safety 2019 188 416 431 Search in Google Scholar

Zhang, M. Q., Jiang, X., Fang, Z. H., Zeng, Y., Xu, K. High-order hidden markov model for trend prediction in financial time series. Physica A: Statistical Mechanics and its Applications, 2019, (517):pp. 1–12. ZhangM. Q. JiangX. FangZ. H. ZengY. XuK. High-order hidden markov model for trend prediction in financial time series Physica A: Statistical Mechanics and its Applications 2019 517 1 12 Search in Google Scholar

Shaofei Wu, Jun Liu, Lizhi Liu. Modeling method of internet public information data mining based on probabilistic topic model, The Journal of Supercomputing, 2019, (75):pp. 5882–5897. WuShaofei LiuJun LiuLizhi Modeling method of internet public information data mining based on probabilistic topic model The Journal of Supercomputing 2019 75 5882 5897 Search in Google Scholar

Hu, Y., Qiao, Y., Liu, J. Z., Zhu, H. Adaptive confidence boundary modeling of wind turbine power curve using scada data and its application. IEEE Transactions on Sustainable Energy, 2018, 10(3):pp. 1330–1341. HuY. QiaoY. LiuJ. Z. ZhuH. Adaptive confidence boundary modeling of wind turbine power curve using scada data and its application IEEE Transactions on Sustainable Energy 2018 10 3 1330 1341 Search in Google Scholar

Qian, L., Wang, H., Dang, S., Wang, C., Jiao, Z., Zhao, Y. Modelling bivariate extreme precipitation distribution for data-scarce regions using gumbel-hougaard copula with maximum entropy estimation. Hydrological Processes, 2018, 32(2):pp. 212–227. QianL. WangH. DangS. WangC. JiaoZ. ZhaoY. Modelling bivariate extreme precipitation distribution for data-scarce regions using gumbel-hougaard copula with maximum entropy estimation Hydrological Processes 2018 32 2 212 227 Search in Google Scholar

Israel, A., Yue, H., Lanlan, C. Dependency between stock movements using the clayton copula method (ghana stock exchange). International Journal of Science and Research, 2020, 9(3):pp. 511–518. IsraelA. YueH. LanlanC. Dependency between stock movements using the clayton copula method (ghana stock exchange) International Journal of Science and Research 2020 9 3 511 518 Search in Google Scholar

Huang, M., Huang, Y., He, K. Estimation and testing nonhomogeneity of hidden markov model with application in financial time series. Statistics & Its Interface, 2019, 12(2):pp. 215–225. HuangM. HuangY. HeK. Estimation and testing nonhomogeneity of hidden markov model with application in financial time series Statistics & Its Interface 2019 12 2 215 225 Search in Google Scholar

Shaofei Wu, Qian Zhang, Wenting Chen, Jun Liu, Lizhi Liiu, Research on trend prediction of internet user intention understanding and public intelligence mining based on fractional differential method, Chaos, Solitons and Fractals, 2019, (128):pp. 331–338. WuShaofei ZhangQian ChenWenting LiuJun LiiuLizhi Research on trend prediction of internet user intention understanding and public intelligence mining based on fractional differential method Chaos, Solitons and Fractals 2019 128 331 338 Search in Google Scholar

Badem, H., Basturk, A., Caliskan, A., Yuksel, M. E. A new efficient training strategy for deep neural networks by hybridization of artificial bee colony and limited-memory bfgs optimization algorithms. Neurocomputing, 2017, (266):pp. 506–526. BademH. BasturkA. CaliskanA. YukselM. E. A new efficient training strategy for deep neural networks by hybridization of artificial bee colony and limited-memory bfgs optimization algorithms Neurocomputing 2017 266 506 526 Search in Google Scholar

Ge, F., Ju, Y., Qi, Z., Lin, Y. Parameter estimation of a gaussian mixture model for wind power forecast error by riemann l-bfgs optimization. IEEE Access, 2018, (6):pp. 38892–38899. GeF. JuY. QiZ. LinY. Parameter estimation of a gaussian mixture model for wind power forecast error by riemann l-bfgs optimization IEEE Access 2018 6 38892 38899 Search in Google Scholar

John, N., Narayana, B. Cointegration models with non gaussian garch innovations. Metron, 2018, (76):pp. 83–98. JohnN. NarayanaB. Cointegration models with non gaussian garch innovations Metron 2018 76 83 98 Search in Google Scholar

Vetter, D. M., Vetter, M. Monte carlo simulation in a financial strategy for urban development using land value capture. Journal of Property Investment & Finance, 2019, 37(4):pp. 405–415. VetterD. M. VetterM. Monte carlo simulation in a financial strategy for urban development using land value capture Journal of Property Investment & Finance 2019 37 4 405 415 Search in Google Scholar

Lin, S., Runger, G. C. Gcrnn: group-constrained convolutional recurrent neural network. IEEE Transactions on Neural Networks and Learning Systems, 2018, 29(10):pp. 4709–4718. LinS. RungerG. C. Gcrnn: group-constrained convolutional recurrent neural network IEEE Transactions on Neural Networks and Learning Systems 2018 29 10 4709 4718 Search in Google Scholar

Folli, V., Gosti, G., Leonetti, M., Ruocco, G. Effect of dilution in asymmetric recurrent neural networks. Neural Networks, 2018, (104):pp. 50–59. FolliV. GostiG. LeonettiM. RuoccoG. Effect of dilution in asymmetric recurrent neural networks Neural Networks 2018 104 50 59 Search in Google Scholar

Naghibi, Z., Sadrossadat, S. A., Safari, S. Dynamic behavioral modeling of nonlinear circuits using a novel recurrent neural network technique. International Journal of Circuit Theory and Applications, 2019, 47(7):pp. 1071–1085. NaghibiZ. SadrossadatS. A. SafariS. Dynamic behavioral modeling of nonlinear circuits using a novel recurrent neural network technique International Journal of Circuit Theory and Applications 2019 47 7 1071 1085 Search in Google Scholar

Sabino, André, Poseiro, P., Rodrigues, A., Reis, M. T., Fortes, C. J., Reis, R. Coastal risk forecast system. Journal of Geographical Systems, 2018, (20):pp. 159–184. SabinoAndré PoseiroP. RodriguesA. ReisM. T. FortesC. J. ReisR. Coastal risk forecast system Journal of Geographical Systems 2018 20 159 184 Search in Google Scholar

Yin, H., Si, M., Li, Q., Zhang, J., Dai, L. Kick risk forecasting and evaluating during drilling based on autoregressive integrated moving average model. Energies, 2019, 12(18):pp. 3540. YinH. SiM. LiQ. ZhangJ. DaiL. Kick risk forecasting and evaluating during drilling based on autoregressive integrated moving average model Energies 2019 12 18 3540 Search in Google Scholar

Bernardi, M., Catania, L. Switching generalized autoregressive score copula models with application to systemic risk. Journal of Applied Econometrics, 2019, 34(1):pp. 43–65. BernardiM. CataniaL. Switching generalized autoregressive score copula models with application to systemic risk Journal of Applied Econometrics 2019 34 1 43 65 Search in Google Scholar

Abdelkafi, S. Z., Ghorbel, A., Khoufi, W. Energy portfolio risk management using time-varying copula methods: application to bonds, interest rate and vix. American Journal of Finance & Accounting, 2018, 5(4):pp. 371–393. AbdelkafiS. Z. GhorbelA. KhoufiW. Energy portfolio risk management using time-varying copula methods: application to bonds, interest rate and vix American Journal of Finance & Accounting 2018 5 4 371 393 Search in Google Scholar

Chun, S. Y., Kim, Y. T., Kwon, H. H. Drought frequency analysis using hidden markov chain model and bivariate copula function. Journal of Korea Water Resources Association, 2015, 48(12):pp. 969–979. ChunS. Y. KimY. T. KwonH. H. Drought frequency analysis using hidden markov chain model and bivariate copula function Journal of Korea Water Resources Association 2015 48 12 969 979 Search in Google Scholar

Sriboonchitta, S., Liu, J., Wiboonpongse, A. Vine copula-cross entropy evaluation of dependence structure and financial risk in agricultural commodity index yields. Advances in Intelligent Systems and Computing, 2014, (251):pp. 275–287. SriboonchittaS. LiuJ. WiboonpongseA. Vine copula-cross entropy evaluation of dependence structure and financial risk in agricultural commodity index yields Advances in Intelligent Systems and Computing 2014 251 275 287 Search in Google Scholar

Tingwei, G., Yueting, C. Improving stock closing price prediction using recurrent neural network and technical indicators. Neural Computation, 2018, 30(10):pp. 2833–2854. TingweiG. YuetingC. Improving stock closing price prediction using recurrent neural network and technical indicators Neural Computation 2018 30 10 2833 2854 Search in Google Scholar

Hatıra Günerhan, Ercan Çelik, Analytical and approximate solutions of Fractional Partial Differential-Algebraic Equations, Applied Mathematics and Nonlinear Sciences, 2020. 5(1):pp. 109–120. GünerhanHatıra ÇelikErcan Analytical and approximate solutions of Fractional Partial Differential-Algebraic Equations Applied Mathematics and Nonlinear Sciences 2020 5 1 109 120 Search in Google Scholar

Lutfi Akin, Faruk Dusunceli, A New Approach For Weighted Hardy's Operator In VELS. Applied Mathematics and Nonlinear Sciences, 2019. 4(2):pp. 417–432. AkinLutfi DusunceliFaruk A New Approach For Weighted Hardy's Operator In VELS Applied Mathematics and Nonlinear Sciences 2019 4 2 417 432 Search in Google Scholar

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