We suggest that Doidge et al.'s (2004) finding of non-U.S. firms worth more when listed in the U.S. is a special case of a general quot;bonding premiumquot; phenomenon. When firm bonds to a quot;qualityquot; market by listing there, it tends to enjoy the quot;bonding premiumquot;. As to where...

We examine whether sizable initial public offerings (IPOs) affect the whole market. Using a Chinese IPO sample, we find robust evidence that sizable IPOs do depress the market price on not only the listing day but also the offering (subscription) day. The impact on the market is negatively...

China has two major stock exchanges, the Shanghai and the Shenzen exchanges. Each of these exchanges trades two types of shares, type “A” and type “B” shares. Type “A” shares are available to domestic investors only and type “B” shares are available to foreign investors. This...

In this paper we examine the cross-sectional determinants of idiosyncratic volatility of biotech IPO firms. We extend current research in two directions. First, we test whether CEO stock options impact on idiosyncratic volatility. Second, we test new hypotheses that relate some easily...

We consider whether popular technical trading rules are profitable on a subset of U.S. stocks with certain size, liquidity, and industry characteristics. We find these rules are rarely profitable during the 1990 to 2004 period, however there is some evidence they are more profitable for smaller,...

We address to what extent a central bank can de-risk its balance sheet by unconventional monetary policy operations. To that end, we propose a novel risk measurement framework to empirically study the time variation in central bank portfolio credit risks associated with such operations. The...

We propose a dynamic semi-parametric framework to study time variation in tail parameters. The framework builds on the Generalized Pareto Distribution (GPD) for modeling peaks over thresholds as in Extreme Value Theory, but casts the model in a conditional framework to allow for time-variation...

We propose an empirical framework to assess joint and conditional probabilities of credit events from CDS prices observed in the market. Our model is based on a dynamic skewed-t distribution that captures many salient features of CDS data, including skewed and heavy-tailed changes in the price...