Copulae and Multivariate Probability Distributions in Finance

· ·
· Routledge
5.0
1 review
Ebook
208
Pages
Eligible
Ratings and reviews aren’t verified  Learn More

About this ebook

Portfolio theory and much of asset pricing, as well as many empirical applications, depend on the use of multivariate probability distributions to describe asset returns. Traditionally, this has meant the multivariate normal (or Gaussian) distribution. More recently, theoretical and empirical work in financial economics has employed the multivariate Student (and other) distributions which are members of the elliptically symmetric class. There is also a growing body of work which is based on skew-elliptical distributions. These probability models all exhibit the property that the marginal distributions differ only by location and scale parameters or are restrictive in other respects. Very often, such models are not supported by the empirical evidence that the marginal distributions of asset returns can differ markedly. Copula theory is a branch of statistics which provides powerful methods to overcome these shortcomings. This book provides a synthesis of the latest research in the area of copulae as applied to finance and related subjects such as insurance. Multivariate non-Gaussian dependence is a fact of life for many problems in financial econometrics. This book describes the state of the art in tools required to deal with these observed features of financial data.

This book was originally published as a special issue of the European Journal of Finance.

Ratings and reviews

5.0
1 review
Anil Das
October 4, 2020
AAA
Did you find this helpful?

About the author

Alexandra Dias is Lecturer in Finance at the University of Leicester, UK. She has previously been Lecturer at Warwick Business School, UK, a Credit Analyst at Credit Suisse (Zurich) and a Research Associate at RiskLab, ETH-Zurich. She holds a PhD in Mathematics, an MSc in Actuarial Science and Financial Risk Management and a 'Licenciatura' in Mathematics. Her research interests include financial risk management, portfolio selection, extreme events in finance, and dependence modelling with copulas.

Mark Salmon is Senior Scientist at BH-DG Systematic Trading, UK, Visiting Professor in the Economics Faculty at Cambridge University, UK, and Advisor to Old Mutual Asset Managers, UK. He has served as a consultant to a number of city institutions and was an advisor to the Bank of England for 6 years. He was also a member of a "Task Force" set up by the European Commission to consider exchange rate policy for the EURO. Mark has been a member of the European Financial Markets Advisory Panel and has worked with the National Bank of Hungary on transition policies towards membership of the European Union. His research interests lie in Financial Econometrics, Behavioural Finance and International Macroeconomics.

Chris Adcock is Professor of Financial Econometrics in the University of Sheffield, UK, and Visiting Professor of quantitative finance at the University of Southampton, UK. He is the founding editor of the European Journal of Finance and is one of the founding Associate Editors of the Journal of Mathematical Finance. Chris has acted as an advisor to a number of international investment managers and algorithms he has designed have been used by Citibank and DSI International Investment Management, now part of UBS, as well as to several other asset management groups. His current research interests are centred around the development of portfolio selection and asset pricing theory.

Rate this ebook

Tell us what you think.

Reading information

Smartphones and tablets
Install the Google Play Books app for Android and iPad/iPhone. It syncs automatically with your account and allows you to read online or offline wherever you are.
Laptops and computers
You can listen to audiobooks purchased on Google Play using your computer's web browser.
eReaders and other devices
To read on e-ink devices like Kobo eReaders, you'll need to download a file and transfer it to your device. Follow the detailed Help Center instructions to transfer the files to supported eReaders.