Risk and return are two fundamental variables underlying all business decisions. Risk is difficult to measure - potentially leading to sub-optimal outcomes needlessly wasting $millions. This project focuses on two important data problems in risk measurement - thin trading and price limits - applying a complex systems approach. Specifically, we develop a new time varying risk estimator from the class of generalised Tobit models - popular in other areas of economics. Using data across several markets, the new risk measure will be developed, applied and compared to existing approaches. This will improve future decision-making - delivering considerable long-term economic benefits.
|Effective start/end date||1/01/03 → 31/12/06|
- Australian Research Council (ARC): AUD116,000.00
- RMIT University