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.     

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.     

Size Effects in the Pricing of Corporate Bonds

Large orders for corporate bonds get preferential treatment unlike large orders for stocks on the NYSE. A structural explanation, namely, that the corporate bond market is dealer‐dominated, has been offered for the favorable pricing. In this paper, we offer an additional explanation, namely, that the improved pricing for large orders is due to the net impact such orders have on a market maker's costs. Using a data sample that is substantially free of timing mismatch, we support our assertion by sorting the sample into ‘brokered’ trades, which are trades where the dealer merely crosses buy and sell orders and ‘inventoried’ trades, where the dealer trades out of his inventory. We find that large orders raise information costs, but lower inventory costs for ‘inventoried’ trades. The net result is a smaller price advantage than received by large orders on ‘brokered’ trades which are not subject to these costs.     

Financial intermediation and the role of price discrimination in the foreign exchange market

Foreign exchange trading is performed in opaque and decentralized markets. The two-tier market structure consisting of a customer segment and an interdealer segment to which only market makers have access gives rise to the possibility of price discrimination. We develop a theoretical pricing model that accounts for market-power considerations and analyze a database of the trades of a foreign exchange market maker. We find that the market maker generally exerts low bargaining power vis-á-vis customers. The dealer earns lower average spreads on trades with financial customers than commercial customers, even though the former are perceived to convey exchange-rate-relevant information.     

Two months in the life of several gilt-edged market makers on the London Stock Exchange

We investigate the micro structure of the UK gilt market studying the behaviour of several gilt-edged market makers on the London Stock Exchange. Through a structural model of the price process we can test different microstructural hypotheses, concerning information asymmetries, transaction and inventory carrying costs, and market liquidity. Our results suggest that inventories do not alter the price process in the gilt market. Moreover, in contrast to customer orders, inter-dealer transactions possess an information content. Transaction costs in the inter-dealer market are also substantially smaller than those for external customers.     

Ripples through markets: Inter-market impacts generated by large trades

This paper uses a sample of large trades executed on the London Stock Exchange's SEAQ-I market for European cross-traded firms to investigate their impact on home market prices when parallel markets suffer from information frictions. I find that (a) large London trades produce price impacts in home markets even though no timely information is published, (b) market makers appear to pre- and post-position their inventories by splitting orders across markets, and (c) the price discovery process across markets changes significantly around large trades with the foreign market making a significantly bigger contribution to price discovery at this time, even though information opaqueness exists.     

The Determinants of Subprime Mortgage Performance Following a Loan Modification

We use vector error correction models to examine the interdependence between the high and the low price tiers during the latest housing market boom and bust. For 118 of the 364 US statistical areas analyzed, the tiered price indexes are bound by a long-run relationship. In general, low tier homes appreciated more than high tier homes in the past two decades. In contrast to previous periods of high volatility, however, low tier homes appreciated more during the boom and lost more value during the bust of the market. We find a shift in the long-run equilibrium during the bubble —the cointegration parameter that ties the tiers together is greater in absolute value during the bubble period compared to the periods of more moderate appreciation and depreciation rates. Moreover, the shift in the long-run equilibrium can be explained by differences in subprime originations across housing markets. We also find that short run price dynamics is driven by momentum in both segments of the market.     

What do price discovery metrics really measure?

A market is typically considered to dominate price discovery if it is the first to reflect new information about the fundamental value. Our simulations indicate that common price discovery metrics – Hasbrouck information share and Harris–McInish–Wood component share – are only consistent with this view of price discovery if the price series have equal levels of noise, including microstructure frictions and liquidity. If the noise in the price series differs, the information and component shares measure a combination of leadership in impounding new information and relative avoidance of noise, to varying degrees. A third price discovery metric, the ‘information leadership share’ uses the information share and the component share together to identify the price series that is first to impound new information. This third metric is robust to differences in noise levels and therefore correctly attributes price discovery in a wider range of settings. Using four recent empirical studies of price discovery we show that the choice and interpretation of price discovery metrics can have a substantial impact on conclusions about price discovery.     

Trading activity and price discovery in Bitcoin futures markets

This study examines the impact of trading activities on price discovery in the Bitcoin futures markets. We find that trades of hedgers are positively correlated with the modified information shares in both CME and CBOE futures markets, suggesting that their trading promotes futures market efficiency. Retailers’ trading activity relates negatively to the price discovery of the CME Bitcoin futures and thus destabilizes the market. Speculators exert positive (negative) impact on the price discovery in the CME (CBOE) Bitcoin futures. Our finding that CME’s Bitcoin futures exhibit superior price discovery than CBOE’s provides plausible justification for CBOE’s decision in March 2019 to suspend further listings of Bitcoin futures contracts.     

Trading activities and price discovery in foreign currency futures markets

This study investigates the relation between trading activities and the price discovery efficacy of the futures markets for EUR–USD and JPY–USD. According to data pertaining to weekly positions, collected from the Commitments of Traders reports distributed by the Commodity Futures Trading Commission, the information share of currency futures markets declines with hedgers’ positions but increases with speculators’ positions. In addition, both hedgers’ expected and unexpected positions have negative impacts on the contribution of the futures market; the futures market’s information share relates positively to speculators’ expected positions but is uncorrelated with speculators’ unexpected positions.     

Information shares in the US Treasury market

This paper highlights the previously neglected role of the futures markets in US Treasury price discovery. The estimates of 5- and 10-year GovPX spot market information shares typically fail to reach 50% from 1999 on. The GovPX information shares for the 2-year contract are higher than those of the 5- and 10-year maturities but also decline after 1998. Relative bid-ask spreads, number of trades, and realized volatility are statistically significant and explain up to 21% of daily information shares. In roughly 1/4 of cases when public information is released, the futures market gains information share, but macroeconomic announcements rarely explain information shares independently of liquidity.     

The informativeness of domestic and foreign investors’ stock trades: Evidence from the perfectly segmented Chinese market

This paper uses the perfect market segmentation setting in China's stock market to compare the information content of the stock trades of domestic and foreign investors. We study 76 firms that issue both A-shares (for domestic investors) and B-shares (for foreign investors) and compare the price discovery role of the two segmented markets in China. Before Feb 19, 2001, the A-share market led the B-share market in price discovery, as the signed volume and quote revision of the A-share market had strong predictive ability for B-share quote returns, but not vice versa. After Feb 19, 2001, because some domestic investors were allowed to invest in the B-share market, we find evidence for a reverse causality from the B-share to the A-share market. Nevertheless, the [Hasbrouck (1995). One security, many markets: determining the contributions to price discovery, Journal of Finance 50, 1175–1199.] information share analysis reveals that A-shares continue to dominate the price discovery process.     

The Market Evaluation of Information in Directors' Trades

The purpose of this paper is to examine the propensity, characteristics and performance of directors' trades. Consistent with prior research we show that on average, directors outperform the market. However, we also find that there exist a large number of trades which do not share these abnormal share price returns and consequently have little information content. This has important consequences for market participants who use director trading activity as a signal for their own trading strategies. Using different measures of directors' trades based on trade characteristics, we report that purchases by directors are more informative than sales. In addition, the number of directors trading within a twenty day window and the percentage of the directors' holding that is being traded are both important factors in the abnormal share price performance following the trade.     

Quote-based competition,market share,and execution quality in NASDAQ-listed securities

We show that competitive quotes help increase dealer market share on NASDAQ, despite the fact that a large proportion of order flow is preferenced. We find that decimal pricing and the introduction of new trading platforms such as SuperSOES and SuperMontage have significantly changed the effect of quote aggressiveness on dealer market share. In particular, decimal pricing reduces (increases) the price (size) elasticity, SuperSOES increases the size elasticity, and SuperMontage increases both the size and price elasticity of dealer market share. We also show that market centers provide greater price improvements and faster executions when they post competitive quotes.     

Financial Intermediation and the Costs of Trading in an Opaque Market

Municipal bonds trade in opaque, decentralized broker-dealermarkets in which price information is costly to gather. We analyzea database of trades between broker-dealers and customers inmunicipal bonds. These data were only released to the publicwith a lag; the market was opaque. Dealers earn lower averagemarkups on larger trades, even though dealers bear a higherrisk of losses with larger trades. We estimate a bargainingmodel and compute measures of dealer’s bargaining power.Dealers exercise substantial market power. Our measures of marketpower decrease in trade size and increase in the complexityof the trade for the dealer. (JEL G0, G24)     

Herding and the information content of trades in the Australian dollar market

This study shows that the information content of FX transactions depends on the identity of market participants. Using spot FX transactions of a major Australian bank, we find that central banks have the greatest price impact, followed by non-bank financial institutions (NBFIs) such as hedge funds and mutual funds. Trades by non-financial corporations have the least impact on dealer pricing. In the interbank market, dealers with greater private information tend to choose direct trading which has lower post-trade transparency. Indirect trading via brokers is partially revealed to the market and has little price impact. The price impact largely comes from institutions in the top quartile of the trading volume. Furthermore, NBFIs have the greatest propensity for herding, followed by interbank dealers. Non-financial corporations do not herd in their trades. Except for central banks, the differential impact of market participants can largely be explained by their propensity for herding.     

Intensive margin of the Volcker rule: Price quality and welfare

We analyze the impact of dealer regulation on price quality (informativeness and volatility) and its implications for the welfare of market participants. We argue that although price informativeness, volatility, and the dealer’s profitability all deteriorate, against conventional wisdom, other market participants are better off due to the dealer’s risk-shifting motive. A static model is used to clarify the main intuition, and the robustness of the welfare results, as well as the fragility of the conventional wisdom about price quality, are discussed by incorporating dynamics and endogenizing information acquisition.     

Brokered versus dealer markets: Impact of proprietary trading with transaction fees

In this study, we consider a one-period financial market with a dealer/broker and an infinite number of investors. While the dealer who trades on his own account (with proprietary trading) simultaneously sets both the transaction fee and the asset price, the broker who brings investors' orders to the market (with no proprietary trading) sets only the transaction fee, given that the price is determined according to the market-clearing condition among investors. We analyze the impact of proprietary trading on the asset price, transaction fee, trading volume, and the welfare of investors. We find that the bid and ask prices set by the dealer who can engage in proprietary trading are more favorable to average investors. As a result, both the trading volume and the transaction fee increase, and social welfare improves.     

To Trade or Not to Trade: The Effect of Broker Search and Discretionary Trading on Securities Market Performance

In this article we examine the interaction of brokerage search with the Bayesian learning behavior of competitive dealers under asymmetric information. We particularly focus on the effects of price search and discretionary trading on the performance of a dealer market. A search process is incorporated into a model in which brokers determine their reservation price and whether to continue their trades. The model enables us to uncover the interrelationships among search cost, bid‐ask spread, and price volatility. We show that both spread revision and price volatility are dependent upon the optimal search process, inventory fluctuation, and search cost. Furthermore, our model predicts a negative relationship between price volatility and liquidity trading volume.     

Which trades move prices in emerging markets?: Evidence from China's stock market

This paper extends Barclay and Warner's [Barclay, M.J. and J.B. Warner (1993), ‘Stealth trading and volatility: which trades move prices?’, Journal of Financial Economics, vol. 34, pp. 281–306.] original work on stealth trading by analysing which trades move price for the emerging Chinese stock market. A large block trade/manipulation hypothesis is proposed in addition to the stealth and public information hypotheses examined by Barclay and Warner. Using high-frequency data the results show that while medium and large-size trades are associated with disproportionately large, overall, cumulative stock price changes, it is the large-size trades (in terms of the number of transactions) which have the largest effect on cumulative price increases. Thus, while there is some support for stealth trading in the Chinese market, there are other effects in operation such as large block trades/price manipulation.