Efficient Calibration of Trinomial Trees for One-Factor Short Rate Models

In this paper we propose a computationally efficient implementation of general one factor short rate models with a trinomial tree. We improve the Hull–Whites procedure to calibrate the tree to bond prices by circumventing the forward rate induction and numerical root search algorithms. Our calibration procedure is based on forward measure changes and is as general as the Hull–White procedure, but it offers a more efficient and flexible method of constructing a trinomial term structure model. It can be easily implemented and calibrated to both prices and volatilities. JEL classification G13, C6     

Liquidation triggers and the valuation of equity and debt

Many bankruptcy codes implicitly or explicitly contain net-worth covenants, which provide the firm’s bondholders with the right to force reorganization or liquidation if the value of the firm falls below a certain threshold. In practice, however, default does not necessarily lead to immediate change of control or to liquidation of the firm’s assets by its debtholders. To consider the impact of this on the valuation of corporate securities, we develop a model in which liquidation is driven by a state variable that accumulates with time and severity of distress. We model a dynamic grace period for the liquidation event. Recent or severe distress events may have greater impact on the liquidation trigger. Our model can be applied to a wide array of bankruptcy codes and jurisdictions.     

18th annual TTRA conference

Cindy Guernsey, C.R. Goeldner and Deborah Eckstein briefly summarize the 18th Annual Conference of the Travel and Tourism Research Association held in Seattle, Washington on 7–11 June 1987 The conference dealt with tourism market research and ways to improve the performance of the tourism industry.     

Restructuring of traditional farms and new land relations in Ukraine

This paper reports the results of a 1993/1994 survey of 2500 farm managers, farm employees, and private farmers in Ukraine, highlighting changes at the farm level in response to programs of land reform and farm restructuring. As of early 1994, Ukrainian reform had moved to the first stage, which involves privatization of much of the agricultural land and creation of shareholding farms. Over 60% of agricultural land in Ukraine has been transferred from state to collective ownership; among the collective and state farms surveyed, nearly 75% have reorganized and most of them have allocated land and asset shares to members. The number of independent private farmers in Ukraine exceeds 30 000, but with an average farm size of 20 ha they cultivate less than 2% of farmland. Reform at the farm level in Ukraine has thus begun, but at present is at a very early stage.     

Empirical labor search: A survey

This paper surveys the existing empirical research that uses search theory to empirically analyze labor supply questions in a structural framework, using data on individual labor market transitions and durations, wages, and individual characteristics. The starting points of the literature are the Mincerian earnings function, Heckman's classic selection model, and dynamic optimization theory. We develop a general framework for the labor market where the search for a job involves dynamic decision making under uncertainty. It can be specialized to be in agreement with most published research using labor search models. We discuss estimation, policy evaluation with the estimated model, equilibrium model versions, and the decomposition of wage variation into factors due to heterogeneity of various model determinants as well as search frictions themselves. We summarize the main empirical conclusions.