Statistics and Financial Applications with Matlab

- The average of the collected data, moments, median, mode, standard deviation, variance, skewness, kurtosis covariance, removal of features such as statistical correlation
- Discrete and continuous distributions and their properties
- Expressing the distribution of the collected data and tests.
- One-dimensional and multidimensional random number generation methods.
- Markov process and random walk algorithms.
- Monte Carlo Simulation
- Statistics connected estimation methods (Bayesian method womb)
- Garch method
- Historical Method in risk calculation and variance-Kovarsanys
- Retrospective Tests

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