Download presentation

Presentation is loading. Please wait.

Published byAndre Penton Modified about 1 year ago

1
Q ： How to predict the crash of individual firms?

2
Predicting the Crash of Individual Firms Using Complex Theory PaoChung Hsu Ruo-Jie Weng Providence University

3
Complex systems is a system, systems with a large number of mutually interacting agents, self-organize their internal structure and sometimes surprising emergent behaviors. (For example, Sornette(2004)) What is a Complex System?

4
Literature Johansen and Sornette (2000) apply the complex theory and find that there exists the log-periodic signature before the market crash.

5
Data Data ： 90Taiwan Stock Exchange individual firms. (Thirty large firms, thirty small firms and thirty de-listed firms. ) Period ： 2003 to April 30, Resource ： Taiwan Economic Journal (TEJ.).

6
Model Johansen and Sornette (1999):. 、 price time price time

7
Model We apply Hilbert-Huang Transform to test log- periodic signatures in the estimated equation. If there exists log-periodic signatures in the estimated equation, the Shank’s transformation can be used to estimate the critical time.

8
Figure a: Estimated Equation of Evertop Corp. Figure b: Hilbert Spectrum of Evertop Corp.

9
Result Type of firmbubbles Large firm8 Small firm16 De-listed firm11 total35

10
Result Type of firm Log-periodic signatures of bubbles ExistenceNonexistence Large firm35 Small firm160 De-listed firm83 total278

11
Result Difference (Days) Large Firm Small Firm De-Listed Firm Total Total316827

12
Conclusion Twenty-seven out of thirty-five bubbles have log- periodic signatures. The complex theory can explain small firms better. As long as the log-periodic signature exists in the bubble, then, by using Shank’s Transformation we can forecast the estimated time of the crash.

Similar presentations

© 2016 SlidePlayer.com Inc.

All rights reserved.

Ads by Google