An Introduction To Econometric Analysis Applied To Bitcoin Data
Almost 70 years after Jan Tinbergen laid the groundwork for Econometrics, 2019 marked the year in which the first thorough econometric analysis was applied to bitcoin forecasting models. Unfortunately, econometric models are often poorly understood and even more often used when they should be discarded. This book will help you understand all the bits and pieces and even includes step by step guidance to build your own models, while meeting all the required assumptions.
WHAT TO EXPECT?
I'm proud to announce "Bitcoinometrics: An Introduction To Econometric Analysis Applied To Bitcoin Data", the book that will help you understand why some models are useful while others shouldn't even be used. Take a look at the key highlights below to learn more about the content, and get your own copy once it is available!
The book introduces the reader to the basics of econometric analysis in laymen terms. Without an overload of mathematical equations, the reader will get a better understanding of econometric concepts in the field of timeseries analysis and predictive modelling.
APPLIED TO BITCOIN DATA
The theory will be used to discuss the more popular models for bitcoin price forecasting that were published over the last years. The reader will learn exactly why some models are garbage while others might be very useful.
DIY EXAMPLES IN PYTHON
In order to bring the understanding to the next level, the reader will find some useful Do-It-Yourself examples to learn how to run econometric analysis in Python. Even interesting for people with an econometric background who want to learn more about using Python and statistical modelling applied to bitcoin data.
GET YOUR COPY NOW
Once the book is finished, you can get it here. Bonus features for early birds will be announced at a later stage.
PUBLIC SERVICE ANNOUNCEMENT
Due to covid19 all events below are either postponed, cancelled or held online.
Marcel left his institutional investment career with the aim to contribute shaping the future of investment management by helping other people and institutions to get exposure to digital assets. Before Marcel changed course, he worked with Optiver, VanDerMoolen, EY and Achmea Investment Management in various roles and predominantly in the front office. Marcel holds a MSc. in Econometrics with a specialisation in Quantitative Finance and Actuarial Sciences.