Volker Ziemann - Physics and Finance
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Undergraduate Lecture Notes in Physics (ULNP) publishes authoritative texts covering topics throughout pure and applied physics. Each title in the series is suitable as a basis for undergraduate instruction, typically containing practice problems, worked examples, chapter summaries, and suggestions for further reading.
ULNP titles must provide at least one of the following:
An exceptionally clear and concise treatment of a standard undergraduate subject.
A solid undergraduate-level introduction to a graduate, advanced, or non-standard subject.
A novel perspective or an unusual approach to teaching a subject.
ULNP especially encourages new, original, and idiosyncratic approaches to physics teaching at the undergraduate level.
The purpose of ULNP is to provide intriguing, absorbing books that will continue to be the reader's preferred reference throughout their academic career.
More information about this series at http://www.springer.com/series/8917
This Springer imprint is published by the registered company Springer Nature Switzerland AG
The registered company address is: Gewerbestrasse 11, 6330 Cham, Switzerland
One fine day, my son, who was studying economics at the time, brought along books on the use of stochastic differential equations in finance. Following a dialog along the lines of Oh, I know that, its a Fokker-Planck equation---No dad, thats Black-Scholes, I got curious. After all, there might be some fun in economics and finance, besides the money. So, I borrowed Hulls book about the basics of financial economics, because I wanted to understand the basic concepts and the lingo. Just looking through the book, I recognized those differential equations that look so similar to a diffusion equation with a drift term. So, I set out to understand what finance has to do with diffusion.
I later presented some lectures about my explorations to a few interested students and colleagues, which was very stimulating and caused me to explore the subject further. That was how the later chapters came about. They all deal with some aspect of random processes and have some overlap between physics, finance, and other neighboring disciplines.
At that point, I prepared a 5 ECTS (European transfer credits) lecture series for masters students at Uppsala University and expanded the manuscript to serve as lecture notes for this course, which ran for the first time in the spring of 2019, with about 15 interested students. The feedback after the course was rather positive such that I gave the course again in the spring of 2020. This time with 24 students, who provided much more feedback and criticism, which caused me to revise parts of the manuscript to bring it to its present form.
Obviously, many people helped to improve the manuscript. First, I have to thank my son Ingvar. He stimulated my interest in finance and also critically read parts of the manuscript. Likewise, I am indebted to my colleagues and the students who participated in the early lectures and in the course later. Many of them gave valuable criticism and feedback on the growing manuscript. I want to single out a few students, who were particularly diligent: Joe and Martin from the course in 2019; Friedrich, Sebastian, and Elias from 2020. They helped me weed out many ambiguities and errors. They are, however, not to blame for any remaining bugs, those are my responsibility alone. I also need to thank our director of studies, Lisa Freyhult, for her support at the faculty to include this course in the curriculum. Finally, I want to thank my family for their patience with me when I was a bit overfocused on the manuscript.
This chapter sets the stage for the book when it establishes a common theme in many physical and financial systems; both deal with dynamical systems subject to external random forces. A brief discussion of the books target audience follows, before an overview over its contents is given.
What do physics and finance have in common? The short answer is: they both deal with dynamical systems that are subject to external random forces.
In physics, an example is the random walk of pollen floating on a liquid, the Brownian motion first interpreted and theoretically analyzed by Einstein []. A modern example is the startup of conventional lasers and free-electron laser from noise. In general, most of the sub-domain of statistical physics treats systems that are subject to random forces and are described by distributions of the state variables. Many diffusion processes fall into this group.
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