Risk Aversion, Transparency, and Market Performance

Using a model of market making with inventories based on Biais (1993), we find that investors obtain more favorable execution prices, and they hence invest more, when markets are fragmented. In our model, risk-averse dealers use less aggressive price strategies in more transparent markets (centralized) because quote dissemination alleviates uncertainty about the prices quoted by other dealers and, hence, reduces the need to compete aggressively for order flow. Further, we show that the move toward greater transparency (centralization) may have detrimental effects on liquidity and welfare.     

Intra‐Dealer Integration

This paper examines the quotation behaviour of dealers who made markets in the same stocks on both NASDAQ and either EASDAQ or the LSE. Whereas previous studies examine international integration at the market level, we examine integration at the dealer level. In other words, do dealers within the same market‐making firm use information from their arm on the opposite side of the Atlantic in forming their own quotes? We find that while there is some evidence of integration at the market level, integration is hard to detect at the dealer level. The results are largely unaffected by differences in fungibility between our two samples.     

A Comparison of Centralized and Fragmented Markets with Costly Search

How does quotation transparency affect financial market performance? Biais's irrelevance proposition in 1993 shows that centralized markets yield the same expected bid–ask spreads as fragmented markets, other things equal. However, de Frutos and Manzano demonstrated in 2002 that expected spreads in fragmented markets are smaller and market participants prefer to trade in fragmented markets. This paper introduces liquidity traders' costs of searching for a better quote into the Biais model and derives opposite conclusions to these previous studies: expected spreads in centralized markets are smaller and liquidity traders prefer centralized markets, while market makers prefer fragmented markets.     

Consolidation, fragmentation, and the disclosure of trading information

It is commonly believed that fragmented security markets havea natural tendency to consolidate. This article examines thisbelief, focusing on the effect of disclosing trading informationto market participants. We show that large traders who placemultiple trades can benefit from the absence of trade disclosurein a fragmented market, as can dealers who face less price competitionthan in a unified market. Consequently, a fragmented marketneed not coalesce into a single market unless trade disclosureis mandatory. We also compare and contrast fragmented and consolidatedmarkets. Fragmentation results in higher price volatility andviolations of price efficiency.     

Information Asymmetries and Security Market Design: An Empirical Study of the Secondary Market for U.S. Government Securities

This paper examines the empirical implications of an information asymmetry between primary and secondary dealers in the U.S. Government Securities market. This asymmetry arises because primary dealers are permitted to trade through all brokers operating in the marketplace while secondary dealers are restricted to trade through only a subset of brokers. Brokers distribute valuable information over video screens to their trading clients including dealers' up-to-date bid-ask spreads and recent transaction prices. As such, all brokers' video screen information is available to primary dealers, while only a subset of brokers' information is available to secondary dealers. Empirical analyses detect the resulting information asymmetry.     

The Dynamics of Dealer Markets Under Competition

The behavior of competing dealers in securities markets is analyzed. Securities are characterized by stochastic returns and stochastic transactions. Reservation bid and ask prices of dealers are derived under alternative assumptions about the degree to which transactions are correlated across stocks at a given time and over time in a given stock. The conditions for interdealer trading are specified, and the equilibrium distribution of dealer inventories and the equilibrium market spread are derived. Implications for the structure of securities markets are examined.     

Market structure and dealers’ quoting behavior in the foreign exchange market

This article examines how differently the same dealer quotes in the inter-dealer and customer foreign exchange markets that have different market structures. The model first predicts that customer spreads are generally wider than inter-dealer ones due to less transparency in the customer market. The model also predicts that since customers are believed to be less informed than dealers, the differential between customer and inter-dealer spreads tends to fall with the rise in order sizes. In addition, the dealer's mid-quotes are shown to be the same in the two markets. Empirical evidence based on data collected from a FX dealer supports these theoretical findings.     

A study on foreign exchange dealers' bid–ask spread quote behavior

Based on a questionnaire surveying dealers in the Taipei inter-bank foreign exchange market that was conducted in March 2001, I attempted to answer the question of who initiated the wider currency spread. It was found that the risk-averse dealers of small banks quoted wider spreads in order to conceal their inferior positions regarding information and inventory or to avoid market volatility risk. Some of the dealers of large multinational banks in major financial centers who normally quote conventional spreads were found to quote wider spreads in response to the request for quotations by small Taiwanese bank dealers who widened their spread quotes.     

OTC derivatives market in India: recent regulatory initiatives and open issues for market stability and development

In the wake of the present financial crisis, which is believed to have been exacerbated by over-the-counter derivatives, increasing attention is being paid to analysing the regulatory environment of these markets. In this context, we analyse the regulatory framework of the over-the-counter derivatives market in India. The paper, inter alia, analyses how a good reporting system and a post-trade clearing and settlement system, through a centralized counter party, has ensured good surveillance of the systemic risks in the Indian over-the-counter market. This research paper also explores those open issues that are important to ensure market stability and development competition among centralized counterparties and better supervision of the off-balance sheet business of financial institutions.     

Information-Based Trading in the Treasury Note Interdealer Broker Market

Despite its pervasive presence in world financial markets, there are few studies of interdealer broker markets. This paper examines the trading behavior of primary dealers in the 5-year Treasury note interdealer broker market. The analysis examines trading patterns, announcement effects, and volatility–volume relations. The results show that trading frequency is consistent with activity motivated by public information or dealer's private knowledge of inventory or order flow information. Additionally, although the interdealer broker market is an anonymous electronic compilation and matching system without designated market makers, trade size does not appear to have any information content. Journal of Economic Literature Classification Numbers: C22, G14.     

m-Double Poisson Lévy markets

We develop novel mispricing of markets under asymmetric information and jumps for informed and uninformed investors, called m-Double Poisson markets, driven by independent Double Poisson processes. In the special case m?=?1, called the Double Poisson pure-jump Lévy market, both types of investors hold the same optimal portfolio and expected utility, and hence, the informed investor has no utility advantage over the uninformed. For the general market, instantaneous centralized moments of returns are used to compute optimal portfolios and utilities. The mean, variance, skewness and kurtosis of instantaneous returns are reported using jump amplitudes and frequencies.     

Who makes markets

A dealer needs access to order flow and information to make a market profitably in a Nasdaq stock. Several variables that proxy for the stocks that an individual market maker's brokerage customers trade, including volume, location, underwriting participation and analyst coverage, are significant determinants of market making activity. Informational advantages may also factor in the market making decision as evidenced by dealers specializing in industries. These findings suggest that individual dealers have competitive advantages in making markets in specific stocks, and that potential market making competition comes from the dealers who share those advantages rather than all Nasdaq market makers.     

Relation between bid–ask spread,impact and volatility in order-driven markets

We show that the cost of market orders and the profit of infinitesimal market-making or -taking strategies can be expressed in terms of directly observable quantities, namely the spread and the lag-dependent impact function. Imposing that any market taking or liquidity providing strategies is at best marginally profitable, we obtain a linear relation between the bid–ask spread and the instantaneous impact of market orders, in good agreement with our empirical observations on electronic markets. We then use this relation to justify a strong, and hitherto unnoticed, empirical correlation between the spread and the volatility per trade, with R ²s exceeding 0.9. This correlation suggests both that the main determinant of the bid–ask spread is adverse selection, and that most of the volatility comes from trade impact. We argue that the role of the time-horizon appearing in the definition of costs is crucial and that long-range correlations in the order flow, overlooked in previous studies, must be carefully factored in. We find that the spread is significantly larger on the NYSE, a liquid market with specialists, where monopoly rents appear to be present.     

Order preferencing, adverse-selection costs, and the probability of information-based trading

Although prior studies offer various conjectures on the causes and consequences of order preferencing, there is only limited empirical evidence. In this study, we show that the extent of order preferencing is significantly and negatively related to both the adverse-selection component of the spread and the probability of information-based trading. This result is consistent with the prediction of the clientele-pricing hypothesis that dealers (brokers) selectively purchase (internalize) orders based on information content. Our results suggest that order preferencing may not be as harmful as some researchers have suggested and offer some rationale for its prevalence in securities markets with heterogeneously informed traders. JEL Classification G18 · G19     

Price discovery in government bond markets

Price discovery in government bond markets is explored using Norwegian data including trades from both tiers of the market and dealer identities. The results show that while aggregate interdealer order flow explains one-fourth of daily yield changes, aggregate customer order flow has little explanatory power. Dealers are heterogeneously informed and appear to have different sources of information. While some dealers mainly rely on their customer trades, others appear to rely on skill in acquiring and interpreting other relevant information, suggesting that dealers play an independent role in the price discovery process.     

Financial Intermediaries and the Cross‐Section of Asset Returns

Financial intermediaries trade frequently in many markets using sophisticated models. Their marginal value of wealth should therefore provide a more informative stochastic discount factor (SDF) than that of a representative consumer. Guided by theory, we use shocks to the leverage of securities broker‐dealers to construct an intermediary SDF. Intuitively, deteriorating funding conditions are associated with deleveraging and high marginal value of wealth. Our single‐factor model prices size, book‐to‐market, momentum, and bond portfolios with an R² of 77% and an average annual pricing error of 1%—performing as well as standard multifactor benchmarks designed to price these assets.     

Foreign exchange customers and dealers: Who’s driving whom?

This paper tests the theoretical assumption of the foreign exchange market microstructure that dealers and non-dealer customers interact over discrete trading rounds. An exhaustive frequency-domain analysis reveals that the interaction is limited and mainly due to the instability of financial markets. The principal finding is that the trading activity of dealers is able to predict the customer order flow at low frequencies with wavelengths longer than roughly a week. In all, the evidence shows that non-financial customers are not as passive as some other research has suggested.     

Financial Economists' Roundtable Statement on THE STRUCTURE OF SECURITIES MARKETS

Market practitioners, regulators, and economists are now debating the merits of a national market system—a single, fully integrated securities market that would be coordinated by a central computer and mandated by the SEC. This brief statement, signed by 29 distinguished financial economists, argues that such a system is a badidea. The multiplicity of U.S. markets is a sign of innovation and vibrant competition, not a problem that requires regulatory intervention. As a variety of markets with different technologies and trading procedures vie for somewhat different groups of customers with different needs, the result is competing market centers—registered exchanges (such as NYSE and AMEX) with designated specialists; NASDAQ with competing dealers; third market dealers in listed securities; and alternative trading systems (regulated as brokers) serving institutional investors or providing on-line trading to individual investors. Moreover, the fact that the different U.S. markets are linked in various ways and degrees—for example, by information and by private order routing systems of brokers and markets—should caution us against viewing market "fragmentation" as a public policy problem in need of a solution     

Cournot model of brokered FX trading

This paper develops a Cournot model of rival dealers placing limit orders with a broker, who in turn makes a market by acting as a liaison between dealers. The broker's limit-book lists the various prices and quantities at which dealers are willing to exchange currency vis-à-vis electronic broking. The size and volatility of the inside spread is simulated relative to dealer entry–exit and the price elasticity of linear order arrival functions. Our simulations reveal non-linear price dynamics from dealer participation in market development, with an additional rival narrowing the inside spread by 1.82% while diminishing its volatility. These findings may shed some light on the “excess volatility puzzle” raised by Killeen, Lyons and Moore (forthcoming) as to why price behavior under flexible exchange rate regimes is significantly more volatile than macro fundamentals would suggest.