This paper reports on the development of a two-dimensional, fully nonlinear CFD (Computational Fluid Dynamics) model with dynamic mesh to analyze the performance of a heave-only floating OWC (oscillating water column) device. The model was validated against previous experimental, analytical and...

Purpose – The “supply-side effect” brought about by the imperfection of the capital market has increasingly been concerned. The purpose of this paper is to study how will the uncertainty of equity financing brought about by the equity financing regulations in emerging capital market affect...

This paper considers the problem of estimating a simultaneous spatial autoregressive model (SSAR). We propose using the quasi maximum likelihood method to estimate the model. The asymptotic properties of the maximum likelihood estimator including consistency and limiting distribution are...

Recent studies have coupled blade element momentum (BEM) theory with the Reynolds Averaged Navier–Stokes equations in computational fluid dynamics (CFD) software, as the BEM-CFD method to analyse the flows in marine current turbines is with much less computational resources. The accuracy of...

Motivated by the implications from a stylized self-contained general equilibrium model incorporating the effects of time-varying economic uncertainty, we show that the difference between implied and realized variation, or the variance risk premium, is able to explain a non-trivial fraction of...

We estimate the nondefault component of corporate bond yield spreads and examine its relationship with bond liquidity. We measure bond liquidity using intraday transactions data and estimate the default component using the term structure of credit default swaps (CDS) spreads. With swap rate as...

This paper extends the jump detection method based on bipower variation to identify realized jumps on financial markets and to estimate parametrically the jump intensity, mean, and variance. Finite sample evidence suggests that the jump parameters can be accurately estimated and that the...

We examine various dynamic term structure models for monthly US Treasury yields from 1964 to 2001. Of particular interest is the predictability of bond excess returns. Recent evidence indicates that using multiple forward rates can sharply predict future excess returns on bonds; the R2 of this...

We exploit the distributional information contained in high-frequency intraday data in constructing a simple conditional moment estimator for stochastic volatility diffusions. The estimator is based on the analytical solutions of the first two conditional moments for the latent integrated...

We develop a term structure model where the short interest rate and the market price of risks are subject to discrete regime shifts. Empirical evidence from Efficient Method of Moments estimation provides considerable support for the regime shifts model. Standard models, which include affine...