Speculative bubbles,financial crises and convergence in global real estate investment trusts

We test for price bubbles in 14 national real estate investment trust (REIT) markets, and measure the degree of their convergence towards a common trend. Our methodology consists of the recently developed test of Phillips, Shi and Yu (2014) for mildly explosive processes, and the Phillips and Sul (2007) method for modelling convergence among random variables. We find evidence of explosive behaviour in index levels of seven of the 14 markets. In contrast, explosive dynamics are found in only one price/dividend ratio. More than half of the episodes of explosive behaviour are date-stamped to periods prior to the 2007–2009 financial crisis. We also discover a number of periods over which the markets converge towards a common trend. Interestingly, all of the convergence intervals coincide either with periods of crisis, or with periods of market exuberance. For instance, evidence of convergence is found during the 2000 dot-com crash, the 2007–2009 subprime crisis and the 2010–2013 European sovereign debt crisis, as well as over the bubble period of 2004–2005.     

Forecasting Demand for Australian Passports

We forecast demand for Australian passports using a number of univariate and multivariate forecasting models, and assess their relative predictive ability over a number of forecasting horizons and evaluation measures. Our key result is to use different forecasting models for predicting passport demand in the short- versus medium- to long-run. Specifically, to forecast Adult-and-Senior passport demand in the short-term (i.e. up to 12 months) univariate ARIMA models are preferred, while for the longer term forecasts multivariate models with exogenous variables outperform, although only marginally. To forecast passport demand for Minors (less than 18 years old) ARIMA models perform well both in the short-term and the long-term, although ARIMA with explanatory variables outperforms slightly.     

Did bubbles migrate from the stock to the housing market in China between 2005 and 2010?

The speculative nature of both stock and housing markets in China has attracted the attention of observers. However, while stock market data are easily available, the low frequency and low quality of publicly available housing price data hampers the study of the relationship between the two markets. We use original hedonic weekly resale housing prices of a major Chinese housing market and study them in conjunction with Shanghai's stock market index in the second half of the 2000s. The use of the Phillips et al. (2015 a,b) recursive explosive‐root test enables us to detect and date speculative episodes in both markets. We then implement the Greenaway‐McGrevy and Phillips (2016) methodology to detect the presence of migration between the two types of bubbles. We detect significant migration from the stock to the housing market bubble in 2009 and a temporary spillover in 2007.     

Eliciting Consumer WTP for Food Characteristics in a Developing Context: Application of Four Valuation Methods in an African Market

We elicit willingness to pay for conventional, organic and/or food‐safety‐inspected tomatoes in a traditional African food market. We identify four elicitation methods that can be conducted with one respondent at a time, and use them in a field setting: the Becker–DeGroot–Marschak mechanism, multiple price lists, multiple price lists with stated quantities, and real‐choice experiments. All four methods give similar results; showing that consumers are willing to pay a premium for organic and food‐safety‐inspected tomatoes. However, the size of the premium is significantly larger when consumers choose between alternatives than when they indicate their reservation price. The new multiple price lists with stated quantities were easy to explain in the busy market setting, gave the respondents the opportunity to determine the amount they wanted to buy, and had valuations in line with the other non‐comparative valuation methods.