Markov Chain Model

The objective of this thesis is to develop an appropriately fitted asset pricing model that explicitly captures this salient feature of equity market returns, and that exploits the potential diversification benefits of emerging markets. we use a state-dependent Markov model, which distinguishes between high and low volatility states, to capture time-varying returns in emerging market equity indices. The model is then extended into global asset allocation.

221p runthenight04 02-02-2023 17 2   Download

Thesis with the aim of focusing on two main issues. The first is time series modeling by states in which each state is a deterministic probability distribution (normal distribution). Based on the experimental results to assess the suitability of the model. Second, combine Markov chains and fuzzy time series into new models to improve forecast accuracy. Expand the model with high-level Markov chains to be compatible with seasonal data.

27p xacxuoc4321 11-07-2019 38 2   Download

The short-chain dehydrogenase⁄reductase (SDR) superfamily now has over 47 000 members, most of which are distantly related, with typically 20– 30% residue identity in pairwise comparisons, making it difficult to obtain an overview of this superfamily.

12p mobifone23 21-01-2013 40 8   Download

Web search engine: Markov chain theory Data Mining, Machine Learning: Data mining, Machine learning: Stochastic gradient, Markov chain Monte Carlo, Image processing: Markov random fields, Design of wireless communication systems: random matrix theory, Optimization of engineering processes: simulated annealing, genetic algorithms, Finance (option pricing, volatility models): Monte Carlo, dynamic models, Design of atomic bomb (Los Alamos): Markov chain Monte Carlo.

16p quangchien2205 30-03-2011 89 7   Download