The Basel II Accord requires banks to establish rigorous statistical procedures for the estimation and validation of default and ratings transition probabilities. This raises great technical challenges when sufficient default data are not available, as is the case for low default portfolios. We...

This study documents how China's stock market is able to contribute differently and substantially to the diversification benefits of international investment portfolios. Moreover, allowing exposure to the stock market in China allows international investors to span combinations in the...

The departure in modelling terms from the log-normal distribution for option pricing has been largely driven by empirical observations on skewness. In recent years, the Weibull and generalized beta distributions have been used to fit the risk-neutral density from option prices. In this article,...

A series of GARCH models are investigated for the volatility of the Chinese equity data from the Shenzhen and Shanghai markets. There has been empirical evidence of volatility clustering, contrary to findings in previous studies. Each market contains different GARCH models which fit well. The...

Although property markets represent a large proportion of total wealth in developed countries, the real-estate derivatives markets are still lagging behind in volume of trading and liquidity. Over the last few years there has been increased activity in developing derivative instruments that can...

On 15th November 2012 in Copenhagen, SUERF and Nykredit in association with Danmarks Nationalbank organised a conference on “Property prices and real estate financing in a turbulent world.” The papers included in this SUERF Study are based on contributions to the conference.

The relevance of a fund manager's educational and experience profile to the size of investment portfolio return has been the subject of recurrent research in the last decade. While previous research considered an external reference point of view analysing industry-wide aggregated data, little...