Corporate Finance

This is a fictitious case in which Universal Studies, a major U.S. theme parks and resorts company, has to negotiate with China's central government to build its first theme park in the country. Students are divided into groups and each student is assigned a role as one of the negotiators or as an observer. The topics covered in the negotiation include the new theme park's location, ownership structure, size, nature of theme zones, local employment and hospitality training programmes.

We argue that a fundamental reason for the short-term perspective of corporate executives is the short-term orientation of shareholders themselves and the financial markets that drive the performance benchmarks of CEOs. Although some shareholders are prepared to take a more long-term view they are generally not rewarded for their loyalty to the company.

In order to address the issue of the welfare costs of informed trade, a new Glosten-Milgrom type model is constructed with elastic uninformed trade. Since uninformed trade is elastic, there are some uninformed who choose not to trade because their idiosyncratic valuation lies within the spread. This lack of trade is a welfare loss and the model can be used to estimate the magnitude of the loss. Calculations show that the welfare loss tends to be single-peaked in the amount of informed trade, reaching a maximum at an internal point.

This article studies optimal mortgage design in a continuous-time setting with volatile and privately observable income, costly foreclosure, and a stochastic market interest rate. We show that the features of the optimal mortgage are consistent with an option adjustable-rate mortgage (option ARM). Under the optimal contract, the borrower is given discretion of how much to repay until his balance reaches a certain limit. The default rates and interest rate payment on the mortgage correlate positively with the market interest rate.

The paper provides empirical evidence that strategic complementarities among investors generate fragility in financial markets. Analyzing mutual fund data, we find that, consistent with a theoretical model, funds with illiquid assets (where complementarities are stronger) exhibit stronger sensitivity of outflows to bad past performance than funds with liquid assets. We also find that this pattern disappears in funds where the shareholder base is composed mostly of large investors.

In this paper we describe the challenges of Bayesian computation in Finance. We show that empirical asset pricing leads to a nonlinear non-Gaussian state space model for the evolutions of asset returns and derivative prices. Bayesian methods extract latent state variables and estimate parameters by calculating the posterior distributions of interest. We describe the use of direct estimation methods such as Markov chain Monte Carlo (MCMC) and sequential Monte Carlo (SMC) methods based on particle filtering (PF).

Suresh Sundaresan offers several insights on the development of financial markets in Asia and the Pacific. First, financial market development in the region should take account of the large number of households who are effectively unbanked, given the potential for positive feedback effects between financial markets, economic growth and stability. Second, there is a need for fundamental banking reforms of capital structures and liquidity sources to mitigate bankruptcy risks, as well as the cost to taxpayers of insolvency and bailouts.

We present evidence that reassigning tasks among agents can alleviate moral hazard in communication. A rotation policy that routinely reassigns loan officers to borrowers of a commercial bank affects the officers' reporting behavior. When an officer anticipates rotation, reports are more accurate and contain more bad news about the borrower's repayment prospects. As a result, the rotation policy makes bank lending decisions more sensitive to officer reports.

This paper argues that the monetary policy that is appropriate during an episode of financial market disruption is likely to be quite different than in times of normal market functioning. When financial markets experience a significant disruption, a systematic approach to risk management requires policymakers to be preemptive in responding to the macroeconomic implications of incoming financial market information, and decisive actions may be required to reduce the likelihood of an adverse feedback loop.