Price discovery in spot and futures markets: a reconsideration

We reconsider the issue of price discovery in spot and futures markets. We use a threshold error correction model to allow for arbitrage operations to have an impact on the return dynamics. We estimate the model using quote midpoints, and we modify the model to account for time-varying transaction costs. We find that the futures market leads in the process of price discovery. The lead of the futures market is more pronounced in the presence of arbitrage signals. Thus, when the deviation between the spot and the futures market is large, the spot market tends to adjust to the futures market

A partially linear approach to modelling the dynamics of spot and futures prices

In this paper we consider the dynamics of spot and futures prices in the presence of arbitrage. We propose a partially linear error correction model where the adjustment coefficient is allowed to depend non-linearly on the lagged price difference. We estimate our model using data on the DAX index and the DAX futures contract. We find that the adjustment is indeed nonlinear. The linear alternative is rejected. The speed of price adjustment is increasing almost monotonically with the magnitude of the price difference

Price Discovery in Floor and Screen Trading Systems

We analyze price discovery in floor-based and electronic exchanges using data from the German stock market. We find that both markets contribute to price discovery. There is bidirectional Granger causality, and prices from both markets adjust to deviations from the long-run equilibrium. We use two different measures of the contributions to price discovery, the information share (Hasbrouck 1995) and the weights with which the series enter the common long memory component as defined by Gonzalo / Granger (1995). The contributions of the two trading systems to the process of price discovery are almost equal when transaction prices are used for the estimation. Models based on quote midpoints indicate that the electronic trading system has a larger share in the price discovery process. A cross-sectional analysis reveals that the contributions to price discovery are positively related to the market shares of the trading systems.Floor versus screen trading, Error correction, Information shares, Common long memory components

Real-time price discovery in stock, bond and foreign exchange markets

We characterize the response of U.S., German and British stock, bond and foreign exchange markets to real-time U.S. macroeconomic news. Our analysis is based on a unique data set of high-frequency futures returns for each of the markets. We find that news surprises produce conditional mean jumps; hence high-frequency stock, bond and exchange rate dynamics are linked to fundamentals. The details of the linkages are particularly intriguing as regards equity markets. We show that equity markets react differently to the same news depending on the state of the economy, with bad news having a positive impact during expansions and the traditionally-expected negative impact during recessions. We rationalize this by temporal variation in the competing "cash flow" and "discount rate" effects for equity valuation. This finding helps explain the time-varying correlation between stock and bond returns, and the relatively small equity market news effect when averaged across expansions and recessions. Lastly, relying on the pronounced heteroskedasticity in the high-frequency data, we document important contemporaneous linkages across all markets and countries over-and-above the direct news announcement effects. JEL Klassifikation: F3, F4, G1, C

London or New York: where and when does the gold price originate?

We investigate the Information Shares (ISs) of the two main centres of gold trading, over a 25-year period, using nonoverlapping 4-month windows. We find that neither London nor New York is dominant in terms of price IS, that the dominant market switches from time to time and that these switches do not appear to be very clearly linkable to macroeconomic or political events

Price Discovery in Canadian and U.S. 10-Year Government Bond Markets

This paper presents some new results on the price discovery process in both the Canadian and U.S. 10-year Government bond markets using high-frequency data not previously analyzed. Using techniques introduced by Hasbrouck (1995) and Gonzalo-Granger (1995), we look at the relative information content of cash and futures prices in the market for Canadian Government bonds using futures market data from the Montreal Exchange and OTC cash market data reflecting the inter-dealer market covered by CanPx. We also analyze similar data from the US market over a somewhat longer period using data on the Chicago Board of Trade (CBOT) futures market as well as the cash market from GovPx in the first part of the sample and subsequently from BrokerTec. In general, we find that relatively more price discovery occurs in the futures markets than the cash markets in both Canada and the U.S. and that the results look remarkably similar across the two countries despite the large differences in the sizes of their markets and in their characteristics, particularly on the cash side. These overall results, however, hide the fact that information shares for the U.S. futures markets declined throughout 2004-05 apparently as a result of improvements in the spot market BrokerTec platform. Day-to-day variation in price discovery information shares is related to bid-ask spreads, trading volumes, and realized volatility in the markets but there remains much unexplained.Financial markets; Market structure and pricing

Price Discovery in Canadian Government Bond Futures and Spot Markets

In this paper we look at the relative information content of cash and futures prices for Canadian Government bonds. We follow the information-share approaches introduced by Hasbrouck (1995) and Harris et al (1995), applying the techniques in Gonzalo-Granger (1995), to evaluate the relative contributions of trading in the cash and futures markets to the price discovery process. Both approaches estimate a vector error correction model that permits the separation of long-run price movements from short-run market microstructure effects. As well, we follow Yan and Zivot (2004) who introduce size measures of a market's adjustment to a new equilibrium during the price discovery process. We find that, on an average day, just over 70% of price discovery occurs on the futures market where bid-ask spreads are lower and trading activity is higher. The size of the responses to shocks and the time taken to adjust to a new equilibrium are found to be significantly larger for the cash market.Financial markets; Market structure and pricing

Information shares in the U.S. treasury market

This paper is the first to characterize the tatonnement of high-frequency returns from U.S. Treasury spot and futures markets. In particular, we highlight the previously neglected role of the futures markets in price discovery. The lower-bound estimate of bivariate information shares for 30-year Treasury futures typically exceeds 50% from 1998 on. Standard liquidity measures, including the proportion of trades and relative bid-ask spreads, explain daily information shares. These conclusions still hold when one controls for days of macroeconomic announcements. Finally, a 5-dimensional cointegrated system explains a high percentage of Treasury returns. In that system, the 30-year futures contract and the 5-year spot market dominate price discovery. ; Earlier title: The microstructure of bond market tatonnement; Price discovery in the U.S. treasury marketBond market

Real-Time Price Discovery in Stock, Bond and Foreign Exchange Markets

We characterize the response of U.S., German and British stock, bond and foreign exchange markets to real-time U.S. macroeconomic news. Our analysis is based on a unique data set of high-frequency futures returns for each of the markets. We find that news surprises produce conditional mean jumps; hence high-frequency stock, bond and exchange rate dynamics are linked to fundamentals. The details of the linkages are particularly intriguing as regards equity markets. We show that equity markets react differently to the same news depending on the state of the economy, with bad news having a positive impact during expansions and the traditionally-expected negative impact during recessions. We rationalize this by temporal variation in the competing “cash flow” and “discount rate” effects for equity valuation. This finding helps explain the time-varying correlation between stock and bond returns, and the relatively small equity market news effect when averaged across expansions and recessions. Lastly, relying on the pronounced heteroskedasticity in the high-frequency data, we document important contemporaneous linkages across all markets and countries over-and-above the direct news announcement effects.Asset Pricing; Macroeconomic News Announcements; Financial Market Linkages; Market Microstructure; High-Frequency Data; Survey Data; Asset Return Volatility; Forecasting.