New evidence is provided on price and volatility spillovers among the Danish, Norwegian, Swedish, and Finnish stock markets. The impact of good news (market advances) and bad news (market retreats) is described by a multivariate Exponential Generalized Autoregressive Conditionally Heteroskedastic (EGARCH) model. Volatility transmission is asymmetric, spillovers being more pronounced for bad than good news. Significant price and volatility spillovers exist but they are few in number.

The relation between theorized components of the bid-ask spread and trade size for a sample of NYSE firms is examined. We find that the adverse selection component increases uniformly with trade size. Conversely, order processing costs decrease with increases in trade size for all but the largest trades. We find that order persistence decreases with trade size. The adverse selection component is highest at the beginning of the day and lowest at the end of the day for all but the largest trades. Trades of NYSE firms executed on regional exchanges or NASDAQ contain a large order processing cost component but no significant adverse information effect.

This paper investigates the role of the financial environment in the stock market valuation of research and development (R&D) spending by firms. We examine the importance of equity financing relative to bank financing and the importance of both relative to the size of the economy on the stock market valuation of R&D expenditures. Empirical analysis of the Compustat Global Vantage firm-level data indicates that, the more market-based a financial system is, the more R&D expenditures are valued by the stock market. The degree of financial development does not appear to be important. Our results remain materially unchanged after controlling for numerous firm and country differences.

We provide empirical evidence on the economic benefits of negotiating trades in the upstairs trading room of brokerage firms relative to the downstairs market. Using Helsinki Stock Exchange data, we find that upstairs trades tend to have lower information content and lower price impacts than downstairs trades. This is consistent with the hypotheses that the upstairs market is better at pricing uninformed liquidity trades and that upstairs brokers can give better prices to their customers if they know the unexpressed demands of other customers. We find that these economic benefits depend on price discovery occurring in the downstairs market.