Markov Analysis

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Definition of 'Markov Analysis'

A method used to forecast the value of a variable whose future value is independent of its past history. The technique is named after Russian mathematician Andrei Andreyevich Markov, who pioneered the study of stochastic processes, which are processes that involve the operation of chance. The Markov Analysis introduces a method for forecasting random variables.
Investopedia Says

Investopedia explains 'Markov Analysis'

Markov analysis has a number of applications in the business world. Two common applications are in estimating the proportion of a company's accounts receivables that will become bad debts and forecasting future brand loyalty of current customers.  
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'Markov Analysis'

  • Introduction To Stationary And Non-Stationary Processes

    http://www.investopedia.com/articles/trading/07/stationary.asp
    ... series data (such as asset prices, exchange rates, GDP, inflation and other
    macroeconomic indicators) in economic forecasts, stock market analysis or studies ...
  • Monte Carlo Simulation With GBM

    http://www.investopedia.com/articles/07/montecarlo.asp
    ... trials 3. Process the output 1. Specify a Model (eg GBM) In this article, we will
    use the geometric Brownian motion (GBM), which is technically a Markov process ...

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