Identifying Stock Market Bubbles

Modeling Illiquidity Premium and Bid-Ask Prices of Financial Securities

Business & Finance, Management & Leadership, Operations Research, Industries & Professions, Insurance
Cover of the book Identifying Stock Market Bubbles by Azar Karimov, Springer International Publishing
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: Azar Karimov ISBN: 9783319650098
Publisher: Springer International Publishing Publication: September 29, 2017
Imprint: Springer Language: English
Author: Azar Karimov
ISBN: 9783319650098
Publisher: Springer International Publishing
Publication: September 29, 2017
Imprint: Springer
Language: English

This book introduces readers to a new approach to identifying stock market bubbles by using the illiquidity premium, a parameter derived by employing conic finance theory. Further, it shows how to develop the closed form formulas of the bid and ask prices of European options by using Black-Scholes and Kou models. By using the derived formulas and sliding windows technique, the book explains how to numerically calculate illiquidity premiums. The methods introduced here will enable readers interested in risk management, portfolio optimization and hedging in real-time to identify when asset prices are in a bubble state and when that bubble bursts. Moreover, the techniques discussed will allow them to accurately recognize periods of exuberance and panic, and to measure how different strategies work during these phases with respect to calmer periods of market behavior. A brief history of financial bubbles and an outlook on future developments serve to round out the coverage. 

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

This book introduces readers to a new approach to identifying stock market bubbles by using the illiquidity premium, a parameter derived by employing conic finance theory. Further, it shows how to develop the closed form formulas of the bid and ask prices of European options by using Black-Scholes and Kou models. By using the derived formulas and sliding windows technique, the book explains how to numerically calculate illiquidity premiums. The methods introduced here will enable readers interested in risk management, portfolio optimization and hedging in real-time to identify when asset prices are in a bubble state and when that bubble bursts. Moreover, the techniques discussed will allow them to accurately recognize periods of exuberance and panic, and to measure how different strategies work during these phases with respect to calmer periods of market behavior. A brief history of financial bubbles and an outlook on future developments serve to round out the coverage. 

More books from Springer International Publishing

Cover of the book Cross-Cultural Design by Azar Karimov
Cover of the book Landscapes and Landforms of Hungary by Azar Karimov
Cover of the book Regularity and Irregularity of Superprocesses with (1 + β)-stable Branching Mechanism by Azar Karimov
Cover of the book Quantum Field Theory I by Azar Karimov
Cover of the book Stem Cell Transplantation for Autoimmune Diseases and Inflammation by Azar Karimov
Cover of the book The Changing Space Economy of City-Regions by Azar Karimov
Cover of the book Jokes by Azar Karimov
Cover of the book Evidence and Public Good in Educational Policy, Research and Practice by Azar Karimov
Cover of the book Perspectives in Business Informatics Research by Azar Karimov
Cover of the book Elastic Optical Networks by Azar Karimov
Cover of the book Advances in Automation and Robotics Research in Latin America by Azar Karimov
Cover of the book Engineering Education for a Smart Society by Azar Karimov
Cover of the book The Biomechanics of Impact Injury by Azar Karimov
Cover of the book Facing the Challenges in Structural Engineering by Azar Karimov
Cover of the book New Trends in Mechanism and Machine Science by Azar Karimov
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy