@article {1969186,
	title = {What makes when-issued trading attractive to financial markets?},
	journal = {Financial Markets, Institutions and Instruments},
	volume = {23},
	year = {2014},
	month = {2014},
	pages = {245-271},
	abstract = {When-issued trading is the trading of securities prior to the actual issue of the security. When-issued trading is active around the world and in a variety of equity and bond markets. In this survey, we provide a general description of when-issued trading, analyze benefits and costs in various financial markets, present existing theoretical models and predictions, and synthesize empirical findings. We find that when-issued trading promotes price discovery, mitigates information asymmetry, provides convenience for trading ahead of the actual issue of the security, and in some markets reduces volatility. In addition, we offer policy implications and suggest directions for further research in this area.},
	keywords = {Finance},
	author = {Brooks,Raymond and Kim,Yong H and Yang,Jimmy}
}
@article {1971921,
	title = {The magnet effect of price limits: a logit approach},
	journal = {Journal of Empirical Finance},
	volume = {16},
	year = {2009},
	month = {2009},
	pages = {830-837},
	abstract = {We investigate the magnet effect of price limits using transaction data from the Taiwan Stock Exchange. A logit model incorporates explanatory variables from microstructure literature and reveals that the conditional probability of a price increase (decrease) increases significantly when the price approaches the upper (lower) price limit, in support of the magnet effect. Our approach recognizes when the magnet effect starts to emerge and identifies possible determinants of magnet effect. The probability of information-based trading has a significant impact on the magnet effect for lower price limits.<br><br>},
	keywords = {Finance, Supply Chain},
	author = {Hsieh,Ping-Hung and Kim,Yong H and Yang,Jimmy}
}
@article {1983891,
	title = {Cooling-off effect of price limits: evidence from transactions data},
	year = {2006},
	month = {2006},
	address = {Boston},
	keywords = {Finance},
	author = {Yang,Jimmy and Kim,Yong H}
}
