Competition For Order Flow, Market Quality, And Price Discovery In The Nasdaq 100 Index Tracking Stock

We investigate competition for order flow, market quality, and price discovery in the Nasdaq 100 Index Tracking Stock (QQQ). The QQQ, an AMEX‐listed, exchange‐traded fund, is the most actively traded security in the U.S. equities market. On July 31, 2001, the NYSE began trading the QQQ, marking the first time it traded securities of companies it does not list. The greatest volume of trading takes place on electronic communication networks (ECNs), following by trading on the AMEX and the NYSE. Most of the block trades are executed on the AMEX, where the bid‐ask spreads are narrower. We find that ECNs contribute the most to the price‐discovery process. The spreads on all trading platforms have decreased and market quality and price discovery have improved since QQQ shares have traded on the NYSE.     

Modeling the fat tails in Asian stock markets

We test whether stock returns in the Asian markets are characterized by infinite variance or just large variance, which has an important implication for the applicability of many financial models in Asian market data. Employing the extreme value framework, we find that the Asian index return distributions are fat-tailed but have finite variance. However, the tails of the distributions behave similarly to those in the U.S. and the MSCI World index returns, suggesting that any financial model or risk management tool that incorporates the second moment would work equally well for the Asian market data as it does for developed market data. We apply the Value-at-Risk method using Asian and U.S. data and find no significant difference in performance.     

The market quality of commodity futures markets

To study the market quality of commodity futures markets, we construct a commodity futures market quality index from the perspective of liquidity, efficiency, and volatility. Based on the market quality index, the Chinese commodity futures market operates steadily. The metal futures market is more efficient and stable than the market for agricultural futures. The Chinese commodity futures market is less liquid and more volatile than the U.S. market. We examine the determinants of market quality and find that macroeconomic variables and futures market contracts are significantly related to the market quality of Chinese commodity futures.     

NYSE execution quality subsequent to migration to hybrid

In October 2006, the NYSE began rolling-out phase three of a four-phase plan initiate its new Hybrid trading mechanism. The results show that this new trading platform introduced a much larger proportion of electronic transactions relative to floor auction transactions. This migration to electronic transactions is further evidenced by a mirror shift in price discovery from floor trades to trades marked for automatic electronic execution. In addition, the move to Hybrid trading introduced a significant decrease in inventory control costs, as well as a noticeable increase in trade persistence. Finally, the new trading platform has increased the speed with which orders are met, and has also decreased the proportion of executed shares which receive price improvement.

Volatility, trade size, and order imbalance in China and Japan exchange traded funds

In recent years there have been reports of excessive price volatility and value differences between prices of exchange traded funds (ETFs) and their underlying asset values. The objective of our study is to shed light on these facts by taking a closer look at the relationship between return volatility, trade size, and order imbalance for international ETFs. Even after controlling for order imbalance, volume as represented by number of trades in one of five trade size categories continues to have a significant and predominantly positive impact on volatility. Both trade size and order imbalance are important determinants of the Japan and China ETFs’ price volatility.     

The Price Discovery Puzzle in Offshore Yuan Trading: Different Contributions for Different Contracts

The People's Bank of China (PBC) lifted yuan trading restrictions in July of 2010 that led to offshore yuan spot trading in Hong Kong. Based on causality analyses, we find that price discovery is absent between the onshore and offshore spot markets. However, we document the presence of price discovery between onshore spot and offshore nondeliverable forward (NDF) rates. These seemingly inconsistent results present a puzzle wherein one offshore market appears to be more informationally integrated with the onshore market than another. We conclude that price discovery differences in the offshore markets stem from the offshore spot and forward contracts tracking different aspects of yuan rates (e.g., the offshore nondeliverable rate tracks onshore spot rates whereas the offshore spot rate tracks onshore interest rates). Moreover, the introduction of offshore spot trading in Hong Kong has led to an increase in cross‐market price discovery between onshore spot and offshore NDF rates. © 2012 Wiley Periodicals, Inc. Jrl Fut Mark 34:103–123, 2014     

Trading and Pricing in Upstairs and Downstairs Stock Markets

We provide empirical evidence on the economic benefits of negotiatingtrades in the upstairs trading room of brokerage firms relativeto the downstairs market. Using Helsinki Stock Exchange data,we find that upstairs trades tend to have lower informationcontent and lower price impacts than downstairs trades. Thisis consistent with the hypotheses that the upstairs market isbetter at pricing uninformed liquidity trades and that upstairsbrokers can give better prices to their customers if they knowthe unexpressed demands of other customers. We find that theseeconomic benefits depend on price discovery occurring in thedownstairs market.     

Does Index Speculation Impact Commodity Prices? An Intraday Analysis

Using intraday data, we find unidirectional causality from commodity index‐linked futures to nonindex‐linked commodity futures for up to one hour which disappears when using daily data. Also, the economic significance of index‐linked to nonindex commodity transmission declines to zero within about an hour. Finally, we find that the magnitude of index‐linked to nonindex return transmission is positively related to the amount of speculation, both long and short, in S&P GSCI commodity index futures. We conclude that speculative pressures exerted by commodity index futures can impact nonindex commodities, mainly through the activity of uninformed, positive feedback traders.