Managing Director, Economic Research
Tony oversees the Moody’s Analytics credit analysis consulting projects for global lending institutions. An expert applied econometrician, he has helped develop approaches to stress testing and loss forecasting in retail, C&I, and CRE portfolios and recently introduced a methodology for stress testing a bank’s deposit book.
Tony was formerly the lead Asia-Pacific economist for Moody’s Analytics. Prior to that, he held academic positions at the University of Adelaide, the University of New South Wales, and Vanderbilt University. He received his PhD in Econometrics from Monash University in Melbourne, Australia.
Tony Hughes and Michael Vogan share valuable insights for managing your auto lending business more effectively.
A counterpoint to traditional credit performance analyses.
In this article, we explore the importance of small data in risk modeling and other applications and explain how the analysis of small data can help make big data analytics more useful.
Many in the auto industry are concerned about the impact of ride-sharing. In this article analyze the impact of ride-share services like Uber and Lyft on the private transportation market.
In this article, we consider some possible long-term ramifications of ride-sharing for the broader auto indust
Increases in auto lease volumes are nothing new, yet the industry is rife with fear that used car prices are about to collapse. In this talk, we will explore the dynamics behind the trends and the speculation. The abundance of vehicles in the US that are older than 10 years will soon need to be replaced, and together with continuing demand from ex-lessees, this demand will ensure that prices remain supported under baseline macroeconomic conditions.
Increases in auto lease volumes are nothing new, yet the industry is rife with fear that used car prices are about to collapse. In this talk, we will explore the dynamics behind the trends and the speculation.
To effectively manage risk in your auto portfolios, you need to account for future economic conditions. Relying on models that do not fully account for cyclical economic factors and include subjective overlay, may produce inaccurate, inconsistent or biased estimates of residual values.
Granular risk rating models allow creditors to understand the credit risk of individual loans in a portfolio, facilitating underwriting and monitoring activities. In this webinar we will outline the value of granular risk rating models for CECL.
In this article, I take a theoretical look at negative interest rates as a means to stimulate the economy. I identify key factors that may influence the volume of deposits held in the economy. I then empirically describe the unique situation of negative interest rates.