Essays about: "Markov Chain models"
Showing result 1 - 5 of 54 essays containing the words Markov Chain models.
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1. Branching Out with Mixtures: Phylogenetic Inference That’s Not Afraid of a Little Uncertainty
University essay from KTH/Matematisk statistikAbstract : Phylogeny, the study of evolutionary relationships among species and other taxa, plays a crucial role in understanding the history of life. Bayesian analysis using Markov chain Monte Carlo (MCMC) is a widely used approach for inferring phylogenetic trees, but it suffers from slow convergence in higher dimensions and is slow to converge. READ MORE
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2. Stock market analysis with a Markovian approach: Properties and prediction of OMXS30
University essay from KTH/Matematisk statistikAbstract : This paper investigates how Markov chain modelling can be applied to the Swedish stock index OMXS30. The investigation is two-fold. Firstly, a Markov chain is based on index data from recent years, where properties such as transition matrix, stationary distribution and hitting time are studied. READ MORE
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3. On Predicting Price Volatility from Limit Order Books
University essay from Uppsala universitet/Matematiska institutionenAbstract : Accurate forecasting of stock price movements is crucial for optimizing trade execution and mitigating risk in automated trading environments, especially when leveraging Limit Order Book (LOB) data. However, developing predictive models from LOB data presents substantial challenges due to its inherent complexities and high-frequency nature. READ MORE
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4. Optimal Order Placement Using Markov Models of Limit Order Books
University essay from KTH/Matematik (Avd.)Abstract : We study optimal order placement in a limit order book. By modelling the limit order book dynamics as a Markov chain, we can frame the purchase of a single share as a Markov Decision Process. Within the framework of the model, we can estimate optimal decision policies numerically. The trade rate is varied using a running cost control variable. READ MORE
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5. Predictive Modeling and Statistical Inference for CTA returns : A Hidden Markov Approach with Sparse Logistic Regression
University essay from Umeå universitet/Institutionen för matematik och matematisk statistikAbstract : This thesis focuses on predicting trends in Commodity Trading Advisors (CTAs), also known as trend-following hedge funds. The paper applies a Hidden Markov Model (HMM) for classifying trends. Additionally, by incorporating additional features, a regularized logistic regression model is used to enhance prediction capability. READ MORE