Hybrid multiple structural break model for stock price trend prediction

Sheelapriya Gopal & R. Murugesan

Spanish Review of Financial Economics2017https://doi.org/10.1016/j.srfe.2017.02.002article
ABDC C
Weight
0.42

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https://doi.org/https://doi.org/10.1016/j.srfe.2017.02.002

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@article{sheelapriya2017,
  title        = {{Hybrid multiple structural break model for stock price trend prediction}},
  author       = {Sheelapriya Gopal & R. Murugesan},
  journal      = {Spanish Review of Financial Economics},
  year         = {2017},
  doi          = {https://doi.org/https://doi.org/10.1016/j.srfe.2017.02.002},
}

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Hybrid multiple structural break model for stock price trend prediction

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Evidence weight

0.42

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.18 × 0.4 = 0.07
M · momentum0.80 × 0.15 = 0.12
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.