Hidden Markov model (HMM) is a statistical signal prediction model, which has been widely
used to predict economic regimes and stock prices. In this paper, we introduce the …

The COVID-19 pandemic and the current wars in some countries have put incredible
pressure on the global economy. Challenges for the US include not only economic factors …

Future stock prices depend on many internal and external factors that are not easy to
evaluate. In this paper, we use the Hidden Markov Model,(HMM), to predict a daily stock …

This study uses the hidden Markov model (HMM) to identify different market regimes in the
US stock market and proposes an investment strategy that switches factor investment …

We used hidden Markov model (HMM) with single observation to estimate stock prices of
selected manufacturing companies from the Nigerian Stock Exchange. Data from 22 …

Hidden Markov model (HMM) is a powerful machine-learning method for data regime
detection, especially time series data. In this paper, we establish a multi-step procedure for …

Discrete stochastic processes are widespread in natural systems with many applications
across physics, biochemistry, epidemiology, sociology, and finance. While analytic solutions …

An agent in pursuit of a task may work with a corpus of documents with linked subjective
content descriptions. Performing the task of document retrieval for a user or aiming to extend …

Purpose This study aims to provide the best estimate of a stock's next day's closing price for
a given day with the help of the hidden Markov model–Gaussian mixture model (HMM …

An agent in pursuit of a task may work with a reference library containing documents
associated with additional data that provide location-specific explanations about the content …