Classical option pricing theories are usually built on the law of one price, neglecting the impact of market liquidity that may contribute to significant bid-ask spreads. Within the framework of conic finance, we develop a stochastic liquidity model, extending the discrete-time constant...

We use an asset pricing approach to compare the effects of expected liquidity and liquidity risk on expected U.S. corporate bond returns. Liquidity measures are constructed for bond portfolios using a Bayesian approach to estimate Roll's measure. The results show that expected bond liquidity and...

We use an asset pricing approach to compare the effects of expected liquidity and liquidity risk on expected U.S. corporate bond returns. Liquidity measures are constructed for bond portfolios using a Bayesian approach to estimate Roll's measure. The results show that expected bond liquidity and...

This paper analyses the role of liquidity in the price discovery process. Specifically, it focuses on the credit derivatives markets in the context of the subprime crisis. It presents a theoretical price discovery model for the ASP, bond and CDS markets and then it tests the model with data from...

Market liquidity is a latent and dynamic variable. Building on Cont et al. (2014), we propose a dynamical price impact model at high-frequency, in which price impact is a product of daily, diurnal, and autoregressive stochastic intraday com- ponents. The model is estimated using a Kalman filter...

This study presents and empirically tests a simple framework that examines the effects of market liquidity (the ease with which stocks are traded) and funding liquidity (the ease with which market participants can obtain funding) on stock market bubbles. Three key findings emerge from this...

Fleckenstein et al. (2014) document that nominal Treasuries trade at higher prices than inflation-swapped indexed bonds, which exactly replicate the nominal cash flows. We study whether this mispricing arises from liquidity premiums in inflation-indexed bonds (TIPS) and inflation swaps. Using US...

We propose several econometric measures of connectedness based on principal-components analysis and Granger-causality networks, and apply them to the monthly returns of hedge funds, banks, broker/dealers, and insurance companies. We find that all four sectors have become highly interrelated over...

Functional Signal plus Noise (FSN) time series models are introduced for the econometric analysis of the dynamics of a large cross-section of prices in which contemporaneous observations are functionally related. A semiparametric FSN model is developed in which a smooth, cubic spline signal...