Quantitative Finance & Financial Markets: Statistical Analysis Report

This report presents a comprehensive analysis of quantitative finance and financial markets, employing various statistical tools to derive meaningful insights. The study begins with an introduction to the importance of statistics in business decision-making, followed by a detailed examination of regression analysis, including the development of a regression equation and the interpretation of its components. Correlation analysis is used to determine the relationships between different variables. The report also covers the calculation of confidence intervals and the application of Z-tests to assess hypotheses. Furthermore, the report delves into portfolio analysis, calculating expected returns and standard deviations for different portfolios, and identifying the portfolio with the highest return and lowest standard deviation. The report includes tables, figures, and interpretations of the results, providing a robust understanding of the financial data and statistical methodologies used. The analysis includes moving averages, histograms and normal distribution calculations. The report concludes with an overall assessment of the findings and their implications for financial decision-making.