Determining the Dependency Pattern of Daily Change (Increase or Decrease) of Dhaka Stock Exchange Index (DSEX) in Bangladesh by Markov Chain and Logistic Regression Model

International Journal of Recent Technology and Engineering - India
doi 10.35940/ijrte.d7422.118419
Full Text
Abstract

Available in full text

Date
Authors

Unknown

Publisher

Blue Eyes Intelligence Engineering and Sciences Engineering and Sciences Publication - BEIESP

Related search

Identifying the Dependency Outline of Students’ Attendance in Tertiary Level Using Markov Chain and Logistic Regression Model

International Journal of Engineering and Advanced Technology
EngineeringComputer Science ApplicationsEnvironmental Engineering
2020English

Volatility of Dhaka Stock Exchange

International Journal of Economics and Finance
2016English

The Relationship Between Macro-Economic Variables and Stock Exchange Prices: A Case Study in Dhaka Stock Exchange (DSE) in Bangladesh

Financial Markets, Institutions and Risks
2019English

Measuring the Caesarean Risk Factors in Bangladesh by Using Binary Logistic Regression Model

Asian Journal of Probability and Statistics
2019English

Factors Influencing the Trading Behavior of Investors in Capital Market: An Empirical Study on Dhaka Stock Exchange, Bangladesh

IOSR Journal of Business and Management
2017English

Interaction of Mean Temperature and Daily Fluctuation Influences Dengue Incidence in Dhaka, Bangladesh

PLoS Neglected Tropical Diseases
PharmacologyPublic HealthEnvironmentalToxicologyInfectious DiseasesPharmaceuticsOccupational Health
2015English

Testing Weak-Form Market Efficiency of Dhaka Stock Exchange

Global Disclosure of Economics and Business
2015English

Measuring Volatility Using Garch Models : An Application to Selected Stock of Dhaka Stock Exchange

International Journal of Advanced Research
2020English

Modeling of Daily PM10 Concentration Occurrence Using Markov Chain Model in Shah Alam, Malaysia

Journal of Environmental Science and Technology
Environmental Science
2017English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2025 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy