[8] Haibin Xie, Guohua Zou, Shouyang Wang, How volatile tomorrow is? Forecasting the technical range with moving average range switching (MARS) model, International Review of Applied Financial Issues and Economics, 2010, 2
[9]Shouyang Wang, Xiaoguang Yang, Xiuli Liu, Haibin Xie, Fighting China’s financial crisis with O.R., How China’s economy recovered from the ‘Great Recession’ to reach its growth target of 8 percent by the end of 2009, OR/MS Today, 2010
[10] Dabin Zhang, Haibin Xie, Asymmetric verification of business cycle by forecasting turning points based on neural network, 2010 Third International Joint Conference on Computational Science and Optimization, 2010
[11] Dabin Zhang, Lean Yu, Shouyang, Wang, Haibin Xie, Neural network methods for forecasting turning points in economic time series: An asymmetric verification to business cycle, Frontier of Computer Science in China, 2010, 4
[12] Jiawei Zhang, Haibin Xie, Shouyang Wang, Amulti-country prosperity index by two-dimension singular spectrum analysis, Procedia Computer Science, 2011, 4
[13] Haibin Xie, Guohua Zou, Shouyang Wang, Theoretical properties of technical range and its application, Journal of Stock & Forex Trading (Open Access Journal), 2012, available at http://dx.doi.org/10.4172/2168-9458.1000103
[14] Habin Xie, Xiujuan Zhao, Shouyang Wang, A comprehensive look at the predictive information in Japanese candlestick, Procedia Computer Science, 2012, 9
[15] Habin Xie, Shouyang Wang, A new approach to modeling financial markets, Journal of Systems Science and Complexity, 2013, 26: 1-9
[16] Haibin Xie, Xun Zhang, Shouyang Wang, The more the better: forecasting oil price with decomposition-based vector autoregressive model, International Journal of Energy and Statistics, 2013, 1: 45-53.
[17] Haibin Xie, Jiangze Bian, Mingxi Wang, Shouyang Wang, Is technical analysis informative in the UK stock market? Evidence from decomposition-based vector autoregressive (DVAR) model, Journal of Systems Science and Complexity, 2014, 27: 144-156.
[18] Haibin Xie, Mo Zhou, Yi Hu, Mei Yu, Forecasting the crude oil price with extreme values, Journal of Systems Science and Information, 2014, 2: 193-205.
[19] Haibin Xie, Kuikui Fan, Mingxi Wang, Shouyang Wang, The role of Japanese candlestick in DVAR model, Journal of Systems Science and Complexity, 2015, 28, 1177-1193.
[20] Haibin Xie, Shouyang Wang, Risk-return trade-off, information diffusion, and US stock market predictability, International Journal of Financial Engineering, 2015, 2(4), DOI:10.1142/S2424786315500383
[4] Haibin Xie, A Summation Gamma Process for Speculative Assets
[5] Haibin Xie, Forecasting US Stock Returns with Halloween Effect in Japanese Candlestick
[6] Haibin Xie, Shouyang Wang, Asymmetric Response: New Evidence from Price Extremes
學(xué)術(shù)與社會(huì)兼職
Journal of Systems Science and Complexity,《系統(tǒng)科學(xué)與復(fù)雜性》,《系統(tǒng)工程理論與實(shí)踐》,《國(guó)際金融研究》,《中國(guó)管理科學(xué)》匿名審稿人.
所獲榮譽(yù)與獎(jiǎng)勵(lì)