Citation: | QU Jing-jing, YU Shun-chang, HUANG Ding-jiang. Second-order online portfolio selection strategy with transaction costs[J]. Journal of East China Normal University (Natural Sciences), 2019, (4): 72-82. doi: 10.3969/j.issn.1000-5641.2019.04.008 |
[1] |
HELMBOLD D P, SCHAPIRE R E, SINGER Y, et al. Online portfolio selection using multiplicative updates[J]. Mathematical Finance, 1998, 8(4):325-347. http://cn.bing.com/academic/profile?id=eaa00daa424d6b26cb95ec9e4c91848f&encoded=0&v=paper_preview&mkt=zh-cn
|
[2] |
GYÖRFI L, LUGOSI G, UDINA F. Nonparametric kernel-based sequential investment strategies[J]. Mathematical Finance, 2010, 16(2):337-357. http://d.old.wanfangdata.com.cn/NSTLQK/NSTL_QKJJ025797406/
|
[3] |
THEODOROS TSAGARIS, AJAY JASRA, NIALL ADAMS. Robust and adaptive algorithms for online portfolio selection[J]. Quantitative Finance, 2012, 12(11):1651-1662. doi: 10.1080/14697688.2012.691175
|
[4] |
LI B. PAMR:Passive aggressive mean reversion strategy for portfolio selection[J]. Machine Learning, 2012, 87(2):221-258. http://d.old.wanfangdata.com.cn/Periodical/hebgydxxb200503034
|
[5] |
LI B, HOI S C H, SAHOO D, et al. Moving average reversion strategy for on-line portfolio selection[J]. Artiflcial Intelligence, 2015, 222(1):104-123. http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=4d01a5dbce35024553fd0230f95d8507
|
[6] |
AGARWAL A, HAZAN E, KALE S, et al. Algorithms for portfolio management based on the Newton method[C]//Proceedings of the 23rd International Conference on Machine Learning. 2006:9-16.
|
[7] |
ORDENTLICH E, COVER T M. Online portfolio selection[C]//Proceedings of the 9th Annual Conference on Computational Learning Theory. 1996:310-313.
|
[8] |
胡海鸥.货币理论与货币政策[M].上海:上海人民出版社, 2004.
|
[9] |
DAVIS M H A, NORMAN A R. Portfolio selection with transaction costs[J]. Mathematics of Operations Research, 1990, 15(4):676-713. doi: 10.1287-moor.15.4.676/
|
[10] |
ALBEVERIO S, LAO L J, ZHAO X L. Online portfolio selection strategy with prediction in the presence of transaction costs[J]. Mathematical Methods of Operations Research, 2001, 54(1):133-161. doi: 10.1007/s001860100142
|
[11] |
LI B, WANG J L, HUANG D J, et al. Transaction cost optimization for online portfolio selection[J]. Quantitative Finance, 2018, 18(8):1411-1424. doi: 10.1080/14697688.2017.1357831
|
[12] |
BLUM A, KALAI A. Universal portfolios with and without transaction costs[J]. Machine Learning, 1999, 35(3):193-205. doi: 10.1023-A-1007530728748/
|
[13] |
KOZAT S S, SINGER A C. Universal semiconstant rebalanced portfolios[J]. Mathematical Finance, 2011, 21(2):293-311. http://d.old.wanfangdata.com.cn/NSTLQK/NSTL_QKJJ0222706340/
|
[14] |
HUANG D J, ZHU Y, LI B, et al. Semi-universal portfolios with transaction costs[C]//Proceedings of the 24th International Conference on Artiflcial Intelligence. AAAI Press, 2015:178-184.
|
[15] |
MARKOWITZ H. Portfolio selection[J]. Journal of Finance, 1952, 7(1):77-91. http://d.old.wanfangdata.com.cn/Periodical/zgglkx200202003
|
[16] |
KELLY J L. A new interpretation of information rate[J]. Bell System Technical Journal, 1956, 35(4):917-926. doi: 10.1002/bltj.1956.35.issue-4
|
[17] |
LI B, HOI S C H. Online portfolio selection:A survey[J]. Papers, 2012, 46(3):1-36. http://d.old.wanfangdata.com.cn/NSTLQK/NSTL_QKJJ0229396841/
|
[18] |
COVER T M. Universal portfolios[J]. Mathematical Finance, 1991(1):1-29. http://d.old.wanfangdata.com.cn/NSTLQK/NSTL_QKJJ0226625693/
|
[19] |
DAS P, JOHNSON N, BANERJEE A. Online lazy updates for portfolio selection with transaction costs[C]//27th AAAI Conference on Artiflcial Intelligence. AAAI Press, 2013:202-208 https://www.researchgate.net/publication/288145019_Online_lazy_updates_for_portfolio_selection_with_transaction_costs
|
[20] |
BOYD S, PARIKH N, CHU E, et al. Distributed optimization and statistical learning via the alternating direction method of multipliers[J]. Foundations & Trends in Machine Learning, 2010, 3(1):1-122. http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=3e990a176868f2d25550830e52a96572
|
[21] |
FAN R E, CHEN P H, LIN C J, et al. Working set selection using second order information for training support vector machines[J]. Journal of Machine Learning Research, 2005, 6(4):1889-1918. doi: 10.1097-ALN.0b013e3181da839f/
|
[22] |
LI B, HOI S C H, ZHAO P, et al. Confldence weighted mean reversion strategy for online portfolio selection[J]. ACM Transactions on Knowledge Discovery From Data, 2013, 7(1):1-38. http://cn.bing.com/academic/profile?id=d674e30283954529e234aa47641bab6c&encoded=0&v=paper_preview&mkt=zh-cn
|
[23] |
HOI S C H, SAHOO D, LU J, et al. Online learning:A comprehensive survey[J]. arXiv:1802. 02871v2[cs.LG]22 Oct 2018.
|
[24] |
BROOKES M. The matrix reference manual[R/OL].[2018-06-30]. http://www.ee.imperial.ac.uk/hp/stafi/dmb/matrix/intro.html.
|
[25] |
HAZAN E, AGARWAL A, KALE S. Logarithmic regret algorithms for online convex optimization[J]. Machine Learning, 2007, 69(2/3):169-192. http://cn.bing.com/academic/profile?id=31b255b8c164f50b5db4557f6493c748&encoded=0&v=paper_preview&mkt=zh-cn
|