Application of Discrete-time semi-Markov Model to the Stochastic forecasting of Capital assests as stock.

In this paper, we developed and applied a stochastic model based on Discrete-time Semi Markov chain approach and its generalizations to study the high frequency price dynamics of traded stocks. Semi Markov is a stochastic process that generalizes both the Markov chain and the Markov renewal proces...

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Main Authors: Nafiu, Lukman Abiodun, Patrick, Weke, Alieu Jallow, Mamadou, Carolyne, Ogutu
Format: Article
Published: Far East Journal of theoretical Statistics 2022
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Online Access:http://hdl.handle.net/20.500.12493/564
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author Nafiu, Lukman Abiodun
Patrick, Weke
Alieu Jallow, Mamadou
Carolyne, Ogutu
author_facet Nafiu, Lukman Abiodun
Patrick, Weke
Alieu Jallow, Mamadou
Carolyne, Ogutu
author_sort Nafiu, Lukman Abiodun
collection KAB-DR
description In this paper, we developed and applied a stochastic model based on Discrete-time Semi Markov chain approach and its generalizations to study the high frequency price dynamics of traded stocks. Semi Markov is a stochastic process that generalizes both the Markov chain and the Markov renewal processes. it is well known that the performances of the stock market or factors that move stock prices are technical factors, fundamental factors and market sentiments.
format Article
id oai:idr.kab.ac.ug:20.500.12493-564
institution KAB-DR
publishDate 2022
publisher Far East Journal of theoretical Statistics
record_format dspace
spelling oai:idr.kab.ac.ug:20.500.12493-5642024-01-17T04:50:20Z Application of Discrete-time semi-Markov Model to the Stochastic forecasting of Capital assests as stock. Nafiu, Lukman Abiodun Patrick, Weke Alieu Jallow, Mamadou Carolyne, Ogutu Discrete-time Semi Markov Model, Stock prices, bull market, bear market, stagnant market In this paper, we developed and applied a stochastic model based on Discrete-time Semi Markov chain approach and its generalizations to study the high frequency price dynamics of traded stocks. Semi Markov is a stochastic process that generalizes both the Markov chain and the Markov renewal processes. it is well known that the performances of the stock market or factors that move stock prices are technical factors, fundamental factors and market sentiments. Kabale University 2022-02-17T07:06:34Z 2022-02-17T07:06:34Z 2021 Article 0972-0863 http://hdl.handle.net/20.500.12493/564 application/pdf Far East Journal of theoretical Statistics
spellingShingle Discrete-time Semi Markov Model, Stock prices, bull market, bear market, stagnant market
Nafiu, Lukman Abiodun
Patrick, Weke
Alieu Jallow, Mamadou
Carolyne, Ogutu
Application of Discrete-time semi-Markov Model to the Stochastic forecasting of Capital assests as stock.
title Application of Discrete-time semi-Markov Model to the Stochastic forecasting of Capital assests as stock.
title_full Application of Discrete-time semi-Markov Model to the Stochastic forecasting of Capital assests as stock.
title_fullStr Application of Discrete-time semi-Markov Model to the Stochastic forecasting of Capital assests as stock.
title_full_unstemmed Application of Discrete-time semi-Markov Model to the Stochastic forecasting of Capital assests as stock.
title_short Application of Discrete-time semi-Markov Model to the Stochastic forecasting of Capital assests as stock.
title_sort application of discrete time semi markov model to the stochastic forecasting of capital assests as stock
topic Discrete-time Semi Markov Model, Stock prices, bull market, bear market, stagnant market
url http://hdl.handle.net/20.500.12493/564
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AT patrickweke applicationofdiscretetimesemimarkovmodeltothestochasticforecastingofcapitalassestsasstock
AT alieujallowmamadou applicationofdiscretetimesemimarkovmodeltothestochasticforecastingofcapitalassestsasstock
AT carolyneogutu applicationofdiscretetimesemimarkovmodeltothestochasticforecastingofcapitalassestsasstock