UNDERWRITING ASSISTANCE TO THE AUSTRALIAN WHEAT INDUSTRY — AN APPLICATION OF OPTION PRICING THEORY

For the ten crop seasons 1979-80 to 1988-89, returns to producers in the Australian wheat industry were underwritten by a government-guaranteed price floor. Similar schemes operate in other rural industries (dairy, apples and pears, dried fruits). Although the underwriting provisions have only been triggered once (in the 1986-87 season), the provision of this scheme has acted to reduce the risk normally associated with returns to producers of wheat in all years of its operation. This reduction in risk has been granted free-of-charge by the Commonwealth Government. The guaranteed price can be viewed as a put option taken out by the Government on behalf of growers — it gives growers the option to sell to the Australian Wheat Board at this floor price. The aim of this paper is to apply to this underwriting arrangement the Black-Scholes formula for valuing options, in order to estimate the cost that growers would otherwise have had to pay to obtain cover (through put options) equivalent to the guaranteed price. We also estimate the magnitude of this form of assistance to the industry, which (until now) has not been taken into account unless the returns to growers fell below the guaranteed price.     

Food Stamp Program Participation of Refugees and Immigrants

The Personal Responsibility and Work Opportunity Reconciliation Act (PRWORA) dramatically changed the availability of food stamps to immigrants, but not to refugees. However, refugee usage of food stamps in the post-reform era has declined more than usage of either other immigrants or native citizens. We investigate food stamp program participation of immigrants and refugees to ascertain if the resulting decline was an unintended effect of the reform or is due to some other phenomena. We use data from the Immigration and Naturalization Service to construct an instrument for refugees. We find that refugees are more likely than other immigrants to use food stamps. While PRWORA clearly reduced non-refugee immigrant food stamp participation, the post-reform era decline in refugee usage is fully attributable to a strong refugee response to changing labor market conditions. We also find that refugees' use of food stamps declines rapidly with time in the United States, unlike that of other immigrants.     

Retail Leasing: The Determinants of Shopping Center Rents

The determinants of lease rentals are of fundamental importance to real estate researchers and practitioners. Retail leases are unique in that they typically have two rental components: a base rent and an "overage" rent equal to a percentage of the tenant's gross sales above some threshold level. In this paper, we develop and test a simple cash flow model of retail lease valuation that predicts that base rents are lower with higher percentage rent rates and are higher with greater threshold levels of sales. Using a sample of shopping center leases, regression analysis indicates that these tradeoffs are observed in the market.     

Financial distress,financial constraint and investment decision: Evidence from Brazil

This paper analyses the presence of financial constraint in the investment decisions of 367 Brazilian firms from 1997 to 2004, using a Bayesian econometric model with group-varying parameters. The motivation for this paper is the use of clustering techniques to group firms in a totally endogenous form. In order to classify the firms we used a hybrid clustering method, that is, hierarchical and non-hierarchical clustering techniques jointly. To estimate the parameters a Bayesian approach was considered. Prior distributions were assumed for the parameters, classifying the model in random or fixed effects. Ordinate predictive density criterion was used to select the model providing a better prediction. We tested thirty models and the better prediction considers the presence of 2 groups in the sample, assuming the fixed effect model with a Student t distribution with 20 degrees of freedom for the error. The results indicate robustness in the identification of financial constraint when the firms are classified by the clustering techniques.