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Markov Chain and Stock Price Movement in Nigeria (1985-2013)

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dc.contributor.author Iroha, Nnah Maduabuchi
dc.date.accessioned 2017-03-31T13:49:50Z
dc.date.available 2017-03-31T13:49:50Z
dc.date.issued 2017-03-31
dc.identifier.uri http://hdl.handle.net/123456789/4282
dc.description.abstract The share prices of the stock market are volatile in nature. Investors are at risk without an in-depth knowledge of the operations of the stock market. We used regression analysis to ascertain the relationship between the movement of share prices and economic growth. A regression model was developed to capture the effect of the movement of share prices in the Nigerian stock exchange market on economic growth. Markov chain was used to find effect of the share prices. The results show that in the long run the increase and decrease in the share prices will become stable with probability of 0.665and 0.335 respectively. en_US
dc.language.iso en en_US
dc.subject Stock Market en_US
dc.subject Markov Chain en_US
dc.subject Probability Vector en_US
dc.subject State Space en_US
dc.subject Regular Transition Matrix en_US
dc.subject Price en_US
dc.title Markov Chain and Stock Price Movement in Nigeria (1985-2013) en_US
dc.type Thesis en_US


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