We examine the determinants of an initial public offering (IPO) firm's choice to trade on a when-issued market and find that better quality firms are more likely to trade on this market. Our ‘what-if' analysis shows that for companies choosing when-issued trading, the actual offer price is...

This study uses a unique and extensive data set of over 28.2 million investors' applications to examine the theory of adverse selection under two distinct regulatory regimes (discretionary against mandatory clawback provision) in relation to IPO share allocation. Consistent with Rock's (1996)...

We examine the determinants of an IPO firm's choice to trade on a when-issued market and if the decision to trade on this market has any impact on the pricing of IPO shares. We find that companies that are larger, less risky, have higher future growth opportunities and are underwritten by...

The paper examines the determinants of stabilization and its impact on the aftermarket prices. We use a unique dataset to relax several assumptions in the stabilization literature. We find that underwriters support IPO prices shortly after listing, particularly in cold markets and when demand is...

In accordance with Basel Capital Accords, the Capital Requirements (CR) for market risk exposure of banks is a nonlinear function of Value-at-Risk (VaR). Importantly, the CR is calculated based on a bank's actual portfolio, i.e. the portfolio represented by its current holdings. To tackle...

In accordance with Basel Capital Accords, the Capital Requirements (CR) for market risk exposure of banks is a nonlinear function of Value-at-Risk (VaR). Importantly, the CR is calculated based on a bank’s actual portfolio, i.e. the portfolio represented by its current holdings. To tackle...

We develop a novel Mean-Max Drawdown portfolio optimization approach using buy-and-hold portfolios. The optimization is performed utilizing a multi-objective evolutionary algorithm on a sample of S&P 100 constituents. Our optimization procedure provides portfolios with better Mean-Max Drawdown...

We develop a novel approach to the bond portfolio optimization in insurance companies that are subject to the new Solvency II regulation. The regulatory efficient portfolios are determined using the Non-dominated Sorting Genetic Algorithm II (NSGA-II). The characteristics of the estimated...