This paper provides methods for carrying out likelihood based inference for diffusion driven models, for example discretely observed multivariate diffusions, continuous time stochastic volatility models and counting process models. The diffusions can potentially be non-stationary. Although our...

In human capital intensive industries where it is difficult to contract upon the training effort of skilled agents a socially suboptimal level of training may occur. We show how partnership organisations can overcome this problem by tying human and financial capital. Partnerships are opaque so...

We model corporate governance in a world with competitive securities markets as well as markets for corporate assets. We show that varying the liquidity and opacity of corporate assets, the vitality of the market for corporate control, and the costs of enforcing shareholder rights to cash flows...

In this paper we build upon the recently developed uncertain parameter framework for valuing derivatives in a worst-case scenario. We start by deriving a stochastic volatility model based on a simple analysis of time-series data. We use this stochastic model to examine the time evolution of...

We examine the costs and benefits of the global integration of primary equity markets associated with the parallel diffusion of U.S. underwriting methods. We analyze both direct and indirect costs (associated with underpricing) using a unique dataset of 2,143 IPOs by non-U.S. issuers from 65...

This paper links real investment policy to corporate risk management, endogenizing the costs of external financing. Previous literature finds investment efficiency linked to full hedging. In this model, a firm with proprietary information when deciding its investment in a valuable project, may...

In this paper we derive analytic expressions for the value of European Put and Call options when the stock process follows an exponential Levy-Stable process. It is shown that the generalised Black-Scholes operator for the Levy-Stable case can be obtained as an asymptotic approximation of a...

We study voluntary information exchange widely observed among traders in financial markets. In the context of a standard market microstructure model, based on Kyle (1984, 1985), we show that disparately informed traders are better off by exchanging information provided that they are risk averse...

We propose a new measure of risk, based entirely on downwards moves measured using high frequency data. Realised semivariances are shown to have important predictive qualities for future market volatility. The theory of these new measures is spelt out, drawing on some new results from...

This paper shows how to use realised kernels to carry out efficient feasible inference on the ex-post variation of underlying equity prices in the presence of simple models of market frictions. The issue is subtle with only estimators which have symmetric weights delivering consistent estimators...