We empirically analyze the prevalence and economic underpinnings of closing price manipulation and its detection. We estimate that ∼1% of closing prices are manipulated, of which only a small fraction is detected and prosecuted. We find that stocks with high levels of information asymmetry and mid to low levels of liquidity are most likely to be manipulated. A significant proportion of manipulation occurs on month/quarter-end days. Manipulation on these days is more likely in stocks with high levels of institutional ownership. Government regulatory budget has a strong effect on both manipulation and detection.

Mandated post-trade transparency in secondary markets lowers the cost of issuing corporate bonds. We show that costs are lower due to the mitigation of information asymmetry in the issuing process. Three pieces of evidence support this finding. First, new issues with higher information asymmetry experience relatively larger reductions in issuing costs. These bonds also experience lower reductions in trading activity than lower information asymmetry bonds, so liquidity cannot explain these results. Second, when a larger fraction of trades in comparable bonds are made post-trade transparent, new issue pricing improves. This holds when conditioning on expected bond liquidity. Third, transparency raises prices in the secondary market, but not by as much as it does for newly issued bonds.