September 2021
Intermediate to advanced
201 pages
5h
English
Content preview from Financial Theory with Python
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Chapter 1. Finance and Python
The history of finance theory is an interesting example of the interaction between abstract theorizing and practical application.
Frank Milne (1995)
Hedge funds have sucked in tens of billions of dollars in investments in recent years, assisted increasingly by technology. The same tech is also benefiting those people who make the financial decisions at these organisations.
Laurence Fletcher (2020)
This chapter gives a concise overview of topics relevant for the book. It is intended to provide both the financial and technological framework for the chapters to follow. “A Brief History of Finance” starts by giving a brief overview of the history and current state of finance. “Major Trends in Finance” discusses the major trends that have been driving the evolution of finance over time: mathematics, technology, data, and artificial intelligence. Against this background, “A Four-Languages World” argues that finance today is a discipline of four closely interconnected types of languages: English, finance, mathematics, and programming. The overall approach of the book is explained in “The Approach of This Book”. “Getting Started with Python” illustrates how an appropriate Python environment can be installed on the reader’s computer. However, all the code can be used and executed via a regular web browser on the Quant Platform so that a local Python installation can be set up later.
A Brief History of Finance
To better understand the current state of ...
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.