We study the cross-section of expected corporate bond returns using an inter-temporal CAPM (ICAPM) with three-factors: innovations in future excess bond returns, future real interest rates and future expected inflation. Our test assets are a broad range of corporate bond market index portfolios....

We use a standard consumption-based asset pricing model incorporating conditioning information to explain the risk-return profile of currency carry trade portfolios. In contrast to previous work, we use a scaled stochastic discount factor instead of scaled or managed portfolio returns. Our...

This paper proposes and analyses an hybrid of Owen's (1988, 1990, 1991) Empirical Likelihood (EL) and bootstrap, EL-bootstrap, as an alternative to the General Method of Moments (GMM) within dynamic panel data models. We concentrate on the finite-sample size properties of their...

This paper proposes and analyses an hybrid of Owen.s (1988, 1990, 1991) Empirical Likelihood (EL) and bootstrap, EL-bootstrap, as an alternative to the General Method of Moments (GMM) within dynamic panel data models. We concentrate on the .nite-sample size properties of their...

This paper investigates the large and diverse discounts in UK open offers and placings. Large discounts are a substantial cost to shareholders who do not buy new shares. The existing literature mainly examines US firm-commitment offers and private placements. The institutional setting differs in...

We examine whether more effective boards in terms of size, experience, shareholding and independence, as discussed in the 2010 UK Corporate Governance Code, limit excessive short-term risk taking or short-termism. We use a state-of-the-art asset pricing model that enables the disentangling of...

Catastrophe (Cat) bonds are insurance securitization vehicles which are supposed to transfer catastrophe-related underwriting risk from issuers to capital markets. This paper addresses key, unanswered questions concerning Cat bonds and offers the following results. First, our findings show firms...