메뉴 건너뛰기




Volumn 87, Issue 2, 2012, Pages 221-258

PAMR: Passive aggressive mean reversion strategy for portfolio selection

Author keywords

Mean Reversion; Online learning; Passive aggressive learning; Portfolio selection

Indexed keywords

DATA SETS; EMPIRICAL PERFORMANCE; EXPERIMENTAL TESTBED; FINANCIAL MARKET; LEARNING TECHNIQUES; MEAN REVERSION; MIXTURE ALGORITHM; NUMERICAL EXPERIMENTS; ONLINE LEARNING; ONLINE PORTFOLIOS; ONLINE TRADING; PASSIVE AGGRESSIVE LEARNING; PERFORMANCE METRICS; PORTFOLIO SELECTION; REAL DATA SETS; SOURCE CODES; UPDATE SCHEMES;

EID: 84862811835     PISSN: 08856125     EISSN: 15730565     Source Type: Journal    
DOI: 10.1007/s10994-012-5281-z     Document Type: Article
Times cited : (186)

References (70)
  • 2
    • 33749239760 scopus 로고    scopus 로고
    • New algorithms for repeated play and universal portfolio management
    • Princeton University
    • Agarwal, A., & Hazan, E. (2005). New algorithms for repeated play and universal portfolio management. Technical report, Princeton University.
    • (2005) Technical Report
    • Agarwal, A.1    Hazan, E.2
  • 4
    • 84884311554 scopus 로고    scopus 로고
    • Fast universalization of investment strategies with provably good relative returns
    • Akcoglu, K., Drineas, P., & Kao, M.-Y. (2002). Fast universalization of investment strategies with provably good relative returns. In Automata, languages and programming (Vol. 2380, p. 782).
    • (2002) Automata, Languages and Programming , vol.2380 , pp. 782
    • Akcoglu, K.1    Drineas, P.2    Kao, M.-Y.3
  • 7
    • 0032686447 scopus 로고    scopus 로고
    • Universal portfolios with and without transaction costs
    • Blum, A., & Kalai, A. (1999). Universal portfolios with and without transaction costs. Machine Learning, 35(193), 193-205.
    • (1999) Machine Learning , vol.35 , Issue.193 , pp. 193-205
    • Blum, A.1    Kalai, A.2
  • 14
    • 0742268991 scopus 로고    scopus 로고
    • Support vector machine with adaptive parameters in financial time series forecasting
    • Cao, L. J., & Tay, F. E. H. (2003). Support vector machine with adaptive parameters in financial time series forecasting. IEEE Transactions on Neural Networks, 14(1506), 1506-1518.
    • (2003) IEEE Transactions on Neural Networks , vol.14 , Issue.1506 , pp. 1506-1518
    • Cao, L.J.1    Tay, F.E.H.2
  • 17
    • 84986753988 scopus 로고
    • Universal portfolios
    • Cover, T. M. (1991). Universal portfolios. Mathematical Finance, 1(1), 1-29.
    • (1991) Mathematical Finance , vol.1 , Issue.1 , pp. 1-29
    • Cover, T.M.1
  • 18
    • 0008241596 scopus 로고
    • Empirical bayes stock market portfolios
    • Cover, T. M., & Gluss, D. H. (1986). Empirical bayes stock market portfolios. Advances in Applied Mathematics, 7(170), 170-181.
    • (1986) Advances in Applied Mathematics , vol.7 , Issue.170 , pp. 170-181
    • Cover, T.M.1    Gluss, D.H.2
  • 19
    • 0030107156 scopus 로고    scopus 로고
    • Universal portfolios with side information
    • PII S0018944896010279
    • Cover, T. M., & Ordentlich, E. (1996). Universal portfolios with side information. IEEE Transactions on Information Theory, 42(348), 348-363. (Pubitemid 126770492)
    • (1996) IEEE Transactions on Information Theory , vol.42 , Issue.2 , pp. 348-363
    • Cover, T.M.1    Ordentlich, E.2
  • 21
    • 0141496132 scopus 로고    scopus 로고
    • Ultraconservative online algorithms for multiclass problems
    • Crammer, K., & Singer, Y. (2003). Ultraconservative online algorithms for multiclass problems. Journal of Machine Learning Research, 3, 951-991.
    • (2003) Journal of Machine Learning Research , vol.3 , pp. 951-991
    • Crammer, K.1    Singer, Y.2
  • 23
    • 0141971259 scopus 로고    scopus 로고
    • Efficient universal portfolios for past-dependent target classes
    • DOI 10.1111/1467-9965.00016
    • Cross, J. E., & Barron, A. R. (2003). Efficient universal portfolios for past-dependent target classes. Mathematical Finance, 13(245), 245-276. (Pubitemid 36832182)
    • (2003) Mathematical Finance , vol.13 , Issue.2 , pp. 245-276
    • Cross, J.E.1    Barron, A.R.2
  • 28
    • 0033281425 scopus 로고    scopus 로고
    • Large margin classification using the perceptron algorithm
    • DOI 10.1023/A:1007662407062
    • Freund, Y., & Schapire, R. E. (1999). Large margin classification using the perceptron algorithm. Machine Learning, 37(277), 277-296. (Pubitemid 32210619)
    • (1999) Machine Learning , vol.37 , Issue.3 , pp. 277-296
    • Freund, Y.1    Schapire, R.E.2
  • 29
    • 84868111801 scopus 로고    scopus 로고
    • A new approximate maximal margin classification algorithm
    • Gentile, C. (2001). A new approximate maximal margin classification algorithm. Journal of Machine Learning Research, 2, 213-242.
    • (2001) Journal of Machine Learning Research , vol.2 , pp. 213-242
    • Gentile, C.1
  • 31
    • 33644980408 scopus 로고    scopus 로고
    • Nonparametric prediction
    • J. A. K. Suykens, G. Horváth, S. Basu, C. Micchelli, & J. Vandevalle Eds., Amsterdam: IOS Press
    • Györfi, L., & Schsäfer, D. (2003). Nonparametric prediction. In J. A. K. Suykens, G. Horváth, S. Basu, C. Micchelli, & J. Vandevalle (Eds.), Advances in learning theory: methods, models and applications (pp. 339-354). Amsterdam: IOS Press.
    • (2003) Advances in Learning Theory: Methods, Models and Applications , pp. 339-354
    • Györfi, L.1    Schsäfer, D.2
  • 33
    • 33644974751 scopus 로고    scopus 로고
    • Nonparametric kernel-based sequential investment strategies
    • DOI 10.1111/j.1467-9965.2006.00274.x
    • Györfi, L., Lugosi, G., & Udina, F. (2006). Nonparametric kernel-based sequential investment strategies. Mathematical Finance, 16(337), 337-357. (Pubitemid 43395501)
    • (2006) Mathematical Finance , vol.16 , Issue.2 , pp. 337-357
    • Gyorfi, L.1    Lugosi, G.2    Udina, F.3
  • 35
    • 77951176913 scopus 로고    scopus 로고
    • Nonparametric nearest neighbor based empirical portfolio selection strategies
    • Györfi, L., Udina, F., & Walk, H. (2008). Nonparametric nearest neighbor based empirical portfolio selection strategies. Statistics & Decisions, 26(145), 145-157.
    • (2008) Statistics & Decisions , vol.26 , Issue.145 , pp. 145-157
    • Györfi, L.1    Udina, F.2    Walk, H.3
  • 38
    • 35348918820 scopus 로고    scopus 로고
    • Logarithmic regret algorithms for online convex optimization
    • DOI 10.1007/s10994-007-5016-8, Special Issue on COLT 2006; Guest Editors: Avrim Blum, Gabor Lugosi and Hans Ulrich Simon
    • Hazan, E., Agarwal, A., & Kale, S. (2007). Logarithmic regret algorithms for online convex optimization. Machine Learning, 69(2-3), 169-192. (Pubitemid 47574314)
    • (2007) Machine Learning , vol.69 , Issue.2-3 , pp. 169-192
    • Hazan, E.1    Agarwal, A.2    Kale, S.3
  • 40
    • 0031122868 scopus 로고    scopus 로고
    • A Comparison of New and Old Algorithms for a Mixture Estimation Problem
    • Helmbold, D. P., Schapire, R. E., Singer, Y., & Warmuth, M. K. (1997). A comparison of new and old algorithms for a mixture estimation problem. Machine Learning, 27(97), 97-119. (Pubitemid 127506337)
    • (1997) Machine Learning , vol.27 , Issue.1 , pp. 97-119
    • Helmbold, D.P.1    Schapire, R.E.2    Singer, Y.3    Warmuth, M.K.4
  • 43
    • 84977718628 scopus 로고
    • Evidence of predictable behavior of security returns
    • Jegadeesh, N. (1990). Evidence of predictable behavior of security returns. The Journal of Finance, 45(881), 881-898.
    • (1990) The Journal of Finance , vol.45 , Issue.881 , pp. 881-898
    • Jegadeesh, N.1
  • 45
    • 0000733254 scopus 로고
    • A new interpretation of information rate
    • Kelly, J. (1956). A new interpretation of information rate. Bell Systems Technical Journal, 35, 917-926.
    • (1956) Bell Systems Technical Journal , vol.35 , pp. 917-926
    • Kelly, J.1
  • 48
    • 0001617776 scopus 로고
    • Criteria for choice among risky ventures
    • Latané, H. A. (1959). Criteria for choice among risky ventures. Journal of Political Economy, 67(144), 144-155.
    • (1959) Journal of Political Economy , vol.67 , Issue.144 , pp. 144-155
    • Latané, H.A.1
  • 51
    • 79955690700 scopus 로고    scopus 로고
    • Corn: Correlation-driven nonparametric learning approach for portfolio selection
    • doi:10.1145/1961189.1961193
    • Li, B., Hoi, S. C. H., & Gopalkrishnan, V. (2011a). Corn: correlation-driven nonparametric learning approach for portfolio selection. ACM Transactions on Intelligent Systems and Technology, 2(1), 1-29. doi:10.1145/1961189.1961193
    • (2011) ACM Transactions on Intelligent Systems and Technology , vol.2 , Issue.1 , pp. 1-29
    • Li, B.1    Hoi, S.C.H.2    Gopalkrishnan, V.3
  • 53
    • 0001173683 scopus 로고
    • When are contrarian profits due to stock market overreaction?
    • Lo, A. W., & MacKinlay, A. C. (1990). When are contrarian profits due to stock market overreaction? The Review of Financial Studies, 3(175), 175-205.
    • (1990) The Review of Financial Studies , vol.3 , Issue.175 , pp. 175-205
    • Lo, A.W.1    MacKinlay, A.C.2
  • 54
    • 64949130686 scopus 로고    scopus 로고
    • Financial time series forecasting using independent component analysis and support vector regression
    • Lu, C.-J., Lee, T.-S., & Chiu, C.-C. (2009). Financial time series forecasting using independent component analysis and support vector regression. Decision Support Systems, 47, 115-125.
    • (2009) Decision Support Systems , vol.47 , pp. 115-125
    • Lu, C.-J.1    Lee, T.-S.2    Chiu, C.-C.3
  • 56
    • 84995186518 scopus 로고
    • Portfolio selection
    • Markowitz, H. (1952). Portfolio selection. The Journal of Finance, 7(77), 77-91.
    • (1952) The Journal of Finance , vol.7 , Issue.77 , pp. 77-91
    • Markowitz, H.1
  • 58
    • 0022751477 scopus 로고
    • Finite algorithm for finding the projection of a point onto the canonical simplex of Rn
    • Michelot, C. (1986). A finite algorithm for finding the projection of a point onto the canonical simplex of Rn. Journal of Optimization Theory and Applications, 50, 195-200. (Pubitemid 16612112)
    • (1986) Journal of Optimization Theory and Applications , vol.50 , Issue.1 , pp. 195-200
    • Michelot, C.1
  • 59
    • 0001164059 scopus 로고    scopus 로고
    • Performance functions and reinforcement learning for trading systems and portfolios
    • Moody, J., Wu, L., Liao, Y., & Saffell, M. (1998). Performance functions and reinforcement learning for trading systems and portfolios. Journal of Forecasting, 17, 441-471.
    • (1998) Journal of Forecasting , vol.17 , pp. 441-471
    • Moody, J.1    Wu, L.2    Liao, Y.3    Saffell, M.4
  • 61
    • 78651432415 scopus 로고    scopus 로고
    • An asymptotic analysis of the mean-variance portfolio selection
    • Ottucsák, G., & Vajda, I. (2007). An asymptotic analysis of the mean-variance portfolio selection. Statistics & Decisions, 25, 63-88.
    • (2007) Statistics & Decisions , vol.25 , pp. 63-88
    • Ottucsák, G.1    Vajda, I.2
  • 62
    • 0002158052 scopus 로고
    • Mean reversion in stock prices: Evidence and implications
    • Poterba, J. M., & Summers, L. H. (1988). Mean reversion in stock prices: evidence and implications. Journal of Financial Economics, 22(27), 27-59.
    • (1988) Journal of Financial Economics , vol.22 , Issue.27 , pp. 27-59
    • Poterba, J.M.1    Summers, L.H.2
  • 63
    • 11144273669 scopus 로고
    • The perceptron: A probabilistic model for information storage and organization in the brain
    • Rosenblatt, F. (1958). The perceptron: a probabilistic model for information storage and organization in the brain. Psychological Review, 65, 386-407.
    • (1958) Psychological Review , vol.65 , pp. 386-407
    • Rosenblatt, F.1
  • 64
    • 0001217228 scopus 로고
    • A simplified model for portfolio analysis
    • Sharpe, W. F. (1963). A simplified model for portfolio analysis. Management Science, 9, 277-293.
    • (1963) Management Science , vol.9 , pp. 277-293
    • Sharpe, W.F.1
  • 67
    • 21244487467 scopus 로고    scopus 로고
    • Internal regret in on-line portfolio selection
    • DOI 10.1007/s10994-005-0465-4
    • Stoltz, G., & Lugosi, G. (2005). Internal regret in on-line portfolio selection. Machine Learning, 59(1-2), 125-159. (Pubitemid 40890415)
    • (2005) Machine Learning , vol.59 , Issue.1-2 , pp. 125-159
    • Stoltz, G.1    Lugosi, G.2
  • 68
    • 0001023715 scopus 로고    scopus 로고
    • Application of support vector machines in financial time series forecasting
    • DOI 10.1016/S0305-0483(01)00026-3, PII S0305048301000263
    • Tay, F. E. H., & Cao, L. (2001). Application of support vector machines in financial time series forecasting. Omega, 29(309), 309-317. (Pubitemid 33628757)
    • (2001) Omega , vol.29 , Issue.4 , pp. 309-317
    • Tay, F.E.H.1    Cao, L.2
  • 69
    • 2442674367 scopus 로고    scopus 로고
    • Eddie-automation, a decision support tool for financial forecasting
    • Tsang, E., Yung, P., & Li, J. (2004). Eddie-automation, a decision support tool for financial forecasting. Decision Support Systems, 37, 559-565.
    • (2004) Decision Support Systems , vol.37 , pp. 559-565
    • Tsang, E.1    Yung, P.2    Li, J.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.