1 |
Asness, C. S., Moskowitz, T. J. and Pedersen, L. H. (2013). Value and momentum everywhere. The Journal of Finance, 68, 929-985.
DOI
|
2 |
Chung, S. H. and Oh, K. J. (2014). Using genetic algorithm to optimize rough set strategy in KOSPI200 futures market. Journal of the Korean Data & Information Science Society, 25, 281-292.
DOI
|
3 |
Conrad, J. and Kaul, G. (1998). An anatomy of trading strategies. Review of Financial Studies, 11, 489-520.
DOI
|
4 |
Gao, L., Han, Y., Li, S. Z. and Zhou, G. (2015). Market intraday momentum, Washington University, St. Louis.
|
5 |
Griffin, J. M., Ji, X. and Martin, J. S. (2003). Momentum investing and business cycle risk: Evidence from pole to pole. The Journal of Finance, 58, 2515-2547.
DOI
|
6 |
Hurst, B., Ooi, Y. H. and Pedersen, L. H. (2017). A century of evidence on trend-following investing, AQR Capital Management.
|
7 |
Jain, P. C. and Joh, G. H. (1988). The dependence between hourly prices and trading volume. Journal of Financial and Quantitative Analysis, 23, 269-283.
DOI
|
8 |
Jegadeesh, N. and Titman, S. (1993). Returns to buying winners and selling losers: Implications for stock market efficiency. The Journal of Finance, 48, 65-91.
DOI
|
9 |
Kim, D. H. and Shu, H. J. (2008). Empirical study on the performance of style momentum strategies in the korean stock market. Korean Journal of Business Administration, 21, 1945-1975.
|
10 |
Keogh, E. J. and Pazzani, M. J. (1999). Scaling up dynamic time warping to massive dataset. European Conference on Principles of Data Mining and Knowledge Discovery, Springer, Berlin, Heidelberg.
|
11 |
Kim, S. (2012). A study on the profitability of the trading strategies using past returns. Asian Review of Financial Research, 25, 203-246.
|
12 |
Kim, Y. B. (2004). Conditional contrarian strategy and trading volume effect in the Korean stock market. Journal of Industrial Economics and Business, 17, 505-524.
|
13 |
Kim, H. H. and Oh, K. J. (2012). Using rough set to develop the optimization strategy of evolving timedivision trading in the futures market. Journal of the Korean Data & Information Science Society, 23, 881-893.
DOI
|
14 |
Oh, K. J. and Kim, Y. M. (2013). An intelligent early warning system for forecasting abnormal investment trends of foreign investors. Journal of the Korean Data & Information Science Society, 24, 223-233.
DOI
|
15 |
Kwon, D. and Lee, T. (2014). Hedging effectiveness of KOSPI200 index futures through VECM-CC-GARCH model. Journal of the Korean Data & Information Science Society, 25, 1449-1466.
DOI
|
16 |
Lee, S. J. and Oh, K. J. (2011). Finding the optimal frequency for trade and development of system trading strategies in futures market using dynamic time warping. Journal of the Korean Data & Information Science Society, 22, 255-267.
|
17 |
Lo, W. and MacKinlay, A. (1990). When are contrarian profits due to stock market overreaction? Review of Financial Studies, 3, 175-205.
DOI
|
18 |
Meinard, M. (2007). Information retrieval for music and motion, Springer, Berlin, Heidelberg.
|
19 |
Moskowitz, T. J., Ooi, Y. H. and Pedersen, L. H. (2012). Time series momentum. Journal of Financial Economics, 104, 228-250.
DOI
|
20 |
Park, K. I. and Jee, C. (2006). Contrarian strategy based on past stock return and volatility. The Korean Journal of Financial Management, 23, 1-25.
|