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Quantitative finance for physicists : an introduction

Title
Quantitative finance for physicists : an introduction / Anatoly B. Schmidt.
ISBN
1417577363
9781417577361
9780120884643
012088464X
9780080492209
0080492207
1592782280
9781592782284
1281019984
9781281019981
9786611019983
6611019987
Published
San Diego, Calif. : Elsevier Academic Press, ©2005.
Physical Description
1 online resource (ix, 167 pages) : illustrations
Local Notes
Access is available to the Yale community.
Notes
English.
Access and use
Access restricted by licensing agreement.
Summary
With more and more physicists and physics students exploring the possibility of utilizing their advanced math skills for a career in the finance industry, this much-needed book quickly introduces them to fundamental and advanced finance principles and methods. Quantitative Finance for Physicists provides a short, straightforward introduction for those who already have a background in physics. Find out how fractals, scaling, chaos, and other physics concepts are useful in analyzing financial time series. Learn about key topics in quantitative finance such as option pricing, portfolio management, and risk measurement. This book provides the basic knowledge in finance required to enable readers with physics backgrounds to move successfully into the financial industry. * Short, self-contained book for physicists to master basic concepts and quantitative methods of finance * Growing fieldmany physicists are moving into finance positions because of the high-level math required *Draws on the author's own experience as a physicist who moved into a financial analyst position.
Variant and related titles
O'Reilly Safari. OCLC KB.
Other formats
Print version: Schmidt, Anatoly B. Quantitative finance for physicists. San Diego, Calif. : Elsevier Academic Press, ©2005
Format
Books / Online
Language
English
Added to Catalog
February 27, 2024
Series
Academic Press advanced finance series.
Academic Press advanced finance series
Bibliography
Includes bibliographical references (pages 149-157) and index.
Contents
1. Introduction; 2. Financial Markets; 3. Probability Distributions; 4. Stochastic Processes; 5. Time Series Analysis; 6. Fractals; 7. Nonlinear dynamic systems; 8. Scaling in Financial Times Series; 9. Option Pricing; 10. Portfolio Management; 11. Market Risk Measurement; 12. Agent-based modelling of financial markets; Comments; References; Answers to Exercises; Index.
Genre/Form
dissertations.
Academic theses
Academic theses.
Citation

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