This paper examines financial market data to assess the likelihood of renminbi revaluation and its implications for Chinese share price increases, given the continuing appreciation of the Euro against the U.S. dollar. We find that the 3-month non-deliverable forward premia are key series linking...

One important implementation of Bayesian forecasting is the Multi-State Kalman Filter (MSKF) method. It is particularly suited for short and irregular time series data. In certain applications, time series data are available on numerous parallel observational units which, while not having...

We study the value of information, production flexibility, and supplier flexibility for a good for which an initial and a subsequent order may be placed. We consider a Bayesian model of demand in which the unknown mean demand rate is assumed to have a prior, which is a mixture of two normal...

This paper examines financial market data to assess the likelihood of Renminbi appreciation and its implications for Chinese financial markets, given the continuing volatility of the exchange rate between the US Dollar and the Japanese Yen. Using VAR and Bayesian VAR estimation, we find that the...

In this paper we show that in the lognormal discrete-time stochastic volatility model with predictable conditional expected returns, the conditional expected value of the discounted payoff of a European call option is infinite. Our empirical illustration shows that the characteristics of the...

Wheat yield in Western Australia (WA) depends critically on rainfall during three periods – germination, growing and flowering. The degree of uncertainty attached to a wheat-yield prediction depends on whether the prediction is made before or after the rainfall in each period has been...