Statistics And Finance

Learn core probability and statistics with Python tools and real applications in finance and business

This textbook emphasizes the applications of statistics and probability to finance. Students are assumed to have had a prior course in statistics, but no background in finance or economics. The basics of probability and statistics are reviewed and more advanced topics in statistics, such as regression, ARMA and GARCH models, the bootstrap, and nonparametric regression using splines, are introduced as needed.

Provides a foundation for probability based on game theory rather than measure theory.
A strong philosophical approach with practical applications.
Presents in-depth coverage of classical probability theory as well as new theory.

An essential introduction to data analytics and Machine Learning techniques in the business sector

This book describes official statistics as a tool to hold up a mirror to society – but also as an instrument for those who can manipulate this mirror. It addresses the precarious interaction of politics, official statistics, and ethical principles. Three sets of themes can be derived from this relationship, which are the focus of this book: Political systems and guiding principles, official statistics as a science of the state, and ethical issues arising from them. Ultimately, the determining factor is the political system that exists in each case.