This study aims to examine whether funds with illiquid assets exhibit stronger sensitivity of redemption outflows to bad past performance than funds with liquid assets. An important aspect of our study is whether large outflows should damage future fund performance in illiquid funds more than in...

This is the first published study, to our best best knowledge, to look at the junk IPOs in a systematic manner using a quasi-experimental design. The study abandons the notion of homogeneous market for IPOs, and instead focuses on the differential demand for information across identifiable...

We identified the relationship between purchase and redemption behavior of flow-return and flow-fund characteristics within different group investors by using Quantile regression, we found that insured investors have reflect better performance than non-insured investor in our study. However,...

We identified the relationship between purchase and redemption behavior of flow-return and flow-fund characteristics within different group investors by using Quantile regression, we found that insured investors have reflect better performance than non-insured investor in our study. However,...

We investigate the causal structure of financial systems by accounting for contemporaneous relationships. To identify structural parameters, we introduce a novel non-parametric approach that exploits the fact that most financial data empirically exhibit heteroskedasticity. The identification...

We investigate the causal structure of financial systems by accounting for contemporaneous relationships. To identify structural parameters, we introduce a novel non-parametric approach that exploits the fact that most financial data empirically exhibit heteroskedasticity. The identification...

The authors examine how the use of extreme value theory yields collateral requirements that are robust to extreme fluctuations in the market price of the asset used as collateral. In particular, they study the risk and cost attributes of market risk measures by constructing a risk-cost frontier...

This study applies to investment funds a novel framework which combines marginal probabilities of distress estimated from a structural credit risk model with the consistent information multivariate density optimization (CIMDO) methodology and the generalized dynamic factor model (GDFM). The...

We evaluated the execution of the operational programs (OPs) committed to encouraging the adoption of information and communication technologies (ICTs) in small and medium-sized enterprises (SMEs). To achieve this goal, we employed a novel three-stage weighted Russel directional distance (WRDD)...