Please use this identifier to cite or link to this item: http://hdl.handle.net/11718/22335
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dc.contributor.advisorLaha, A. K.
dc.contributor.authorGupta, Amit
dc.contributor.authorNigam, Sarthak
dc.contributor.authorGoswami, Shubham
dc.date.accessioned2019-08-19T22:37:56Z
dc.date.available2019-08-19T22:37:56Z
dc.date.issued2018
dc.identifier.urihttp://hdl.handle.net/11718/22335
dc.description.abstractThis project aims to examine the correlation between analyst predictions and stock market prices. Analysts publish reports at regular intervals for many regularly traded stocks on the market. The stock prices can then follow the predictions of the report or move in a completely opposite direction. This project first tries to and out important points of change in the stock price data using a probabilistic change point method given by adams et. al [2]. The change points are then used as indicators of the analyst reports that need to be examined. The analyst reports are examined using a text analysis technique called Latent Dirichlet Allocation[3] that gets topics(a group of words with associated probabilities) from the reports. Finally, the similarity in these topics is analyzed to and out the extent to which analyst reports are able to predict the future performance of a stock.en_US
dc.publisherIndian Institute of Management Ahmedabaden_US
dc.relation.ispartofseriesSP_2488en_US
dc.subjectAnalyst reportsen_US
dc.subjectBayesian online changepointen_US
dc.subjectLatent Dirichlet Allocationen_US
dc.subjectValue Analystsen_US
dc.titleRelation between analyst reports and stock market pricesen_US
dc.typeStudent Projecten_US
Appears in Collections:Student Projects

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