MATLAB module for assessing the causal links between time series
Machine Learning Techniques to extract useful forecasts, conclusions and decision making in Quant Finance
A MATLAB-based aircraft noise processor and analyser aimed at Quantifying Noise Annoyance of aircrafts on the basis of different metrics
Master Thesis Electricity markets simulaiton of Day-Ahead price formation in 2030 with large share of batteries (incl V2G) acting and competing with each other and itself
The data set was obtained from Yahoo Finance Historical charts section. The twenty day moving average, twenty day moving sample variance, standard deviation, 20 day moving skew, 20 day moving kurtosis, overall autocorrelation and overall autocovariance were found and their graphs plotted
Semester Project for Timeseries Course / Aristotle University of Thessaloniki / Winter Semester 2020
Code for time series data analysis: data are event data with durations in minutes, called red and green events.
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