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Price Discovery from Offer Price to Opening Price of Initial Public Offerings

Journal of Financial and Quantitative Analysis 2025 60(7), 3443-3474 open access
We examine the preopening process and price discovery from the offer price to the first open price in initial public offerings. The extent of price discovery during preopening is influenced by firm characteristics and preopening attributes, such as volume of shares executed in preopening, canceled orders, order imbalance, and changes in indicative price. Institutional investors cancel 4 orders for every executed order. Each phase of preopening contributes to incremental price discovery. In “hot” IPOs, almost all price discovery processes occur during preopening, whereas in “cold” IPOs, half of the price adjustment occurs after the market opens.

Volatility in Emerging Stock Markets

Journal of Financial and Quantitative Analysis 1999 34(1), 33
This study examines the kinds of events that cause large shifts in the volatility of emerging stock markets. We first determine when large changes in the volatility of emerging stock market returns occur and then examine global and local events (social, political, and economic) during the periods of increased volatility. An iterated cumulative sums of squares (ICSS) algorithm is used to identify the points of shocks/sudden changes in the variance of returns in each market and how long the shift lasts. Both increases and decreases in the variance are identified. We then identify events around the time period when shifts in volatility occur. Most events tend to be local and include the Mexican peso crisis, periods of hyperinflation in Latin America, the Marcos-Aquino conflict in the Philippines, and the stock market scandal in India. The October 1987 crash is the only global event during the period 1985–1995 that caused a significant jump in the volatility of several emerging stock markets.

Safe-Asset Shortages: Evidence from the European Government Bond Lending Market

Journal of Financial and Quantitative Analysis 2021 56(8), 2689-2719
We identify the unique role of the government bond lending market in collateral transformation during periods of market stress. Using a novel database, we provide evidence that safe assets in the lending market have higher demand, higher borrowing cost, and higher usage of noncash collateral relative to nonsafe assets during stressed market conditions. Moreover, we find that market participants are able to obtain safe assets using relatively low-quality noncash collateral, allowing for collateral transformation. We show that policy interventions by central banks can help reduce safe-asset shortages by returning sought-after safe assets to the market.