Price and Liquidity Discovery, Jumps and Co-jumps Using High Frequency Data from the Foreign Exchange Markets


Book Description

The thesis provides a novel contribution to the literature of microstructural theory and discovery models. The main contributions are twofolds. First, we move from price to liquidity discovery and explicitly study the dynamic behavior of a direct measure of liquidity observed from the foreign exchange markets. We extend the framework presented by Hasbrouck (1991) and Dufour and Engle (2000) by allowing the coefficients of both liquidity and trade activity to be time dependent. We find that liquidity time is characterized by a strong stochastic component and that liquidity shocks tend to have temporary effects when transactional time is low or equivalently when trading volatility is high. We then analyze the contribution of liquidity to systemic risk and contagion and, in particular, assess the price impact of liquidity shocks. We extend the approach in Dumitru and Urga (2012) and present a co-jump testing procedure, robust to microstructural noise and spurious detection, and based on a number of combinations of univariate tests for jumps. The proposed test allows us to distinguish between transitory-permanent and endogenous-exogenous co-jumps and determine a causality effect between price and liquidity. In the empirical application, we find evidence of contemporaneous and permanent co-jumps but little signs of exogenous co-jumps between the price and the available liquidity of EUR/USD FX spot during the week from May 3 to May 7, 2010.




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


Book Description

"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 U.S. 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 also helps explain the apparent time-varying correlation between stock and bond returns, and the relatively small equity market news announcement effect when averaged across expansions and recessions. Hence, while our results confirm previous unconditional rankings suggesting that bond markets almost uniformly react most strongly to macroeconomic news, followed by foreign exchange and then equity markets, importantly when conditioning on the state of the economy the foreign exchange and equity markets appear equally responsive. Lastly, relying on the pronounced heteroskedasticity in the new high-frequency data, we also document important contemporaneous linkages across all markets and countries over-and-above the direct news announcement effects"--National Bureau of Economic Research web site.




High Frequency Trading and Price Jumps in the Stock Market


Book Description

In this paper, we investigate liquidity supply and demand around price jumps in a pure order driven stock market using a detailed tick frequency data set on the Euronext 100 index. The advantage of this database is to allow us to disentangle two major evolutions in European financial markets: the emergence of high frequency trading and the implementation of multilateral trading facilities. We generate average 2-minute trading volume interval and assess liquidity dynamics through an extensive set of order book-based measures (liquidity supply) and trade-based measures (liquidity demand). Furthermore, we also consider order submission dynamics and investor types activity around price jumps. We find the origin of market disruptions lies in a low liquidity supply while at the opposite liquidity demand slows down. All our results suggest a higher involvement of high frequency trading activity in the market around price jumps. To emphasize our findings, we conduct bidirectional Granger causality tests that support our results.




Micro Effects of Macro Announcements


Book Description

Using a new dataset consisting of six years of real-time exchange rate quotations, macroeconomic expectations, and macroeconomic realizations (announcements), we characterize the conditional means of U.S. dollar spot exchange rates versus German Mark, British Pound, Japanese Yen, Swiss Franc, and the Euro. In particular, we find that announcement surprises (that is, divergences between expectations and realizations, or 'news') produce conditional mean jumps; hence high-frequency exchange rate dynamics are linked to fundamentals. The details of the linkage are intriguing and include announcement timing and sign effects. The sign effect refers to the fact that the market reacts to news in an asymmetric fashion: bad news has greater impact than good news, which we relate to recent theoretical work on information processing and price discovery.




Price Discovery and Liquidity Recovery


Book Description

We examine whether the forex market quality, measured by the speed of price discovery and liquidity recovery after macro statistics announcements, has improved using the EBS high-frequency data for 20 years. Considering the recent rise of computer-based trading, a popular conjecture is that the market quality has improved. Our empirical analysis, however, suggests that an improving trend is only observed in price discovery. Moreover, two measures are negatively correlated because an increasing number of traders improves liquidity but slows down price discovery. Theoretically, the latter finding implies that "fast" traders have a poor interpretation of how the news will impact prices.




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


Book Description

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 U.S. 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 quot;cash flowquot; and quot;discount ratequot; effects for equity valuation. This finding also helps explain the apparent time-varying correlation between stock and bond returns, and the relatively small equity market news announcement effect when averaged across expansions and recessions. Hence, while our results confirm previous unconditional rankings suggesting that bond markets almost uniformly react most strongly to macroeconomic news, followed by foreign exchange and then equity markets, importantly when conditioning on the state of the economy the foreign exchange and equity markets appear equally responsive. Lastly, relying on the pronounced heteroskedasticity in the new high-frequency data, we also document important contemporaneous linkages across all markets and countries over-and-above the direct news announcement effects.




Information Shocks, Liquidity Shocks, Jumps, and Price Discovery


Book Description

In this paper, we identify jumps in U.S. Treasury-bond (T-bond) prices and investigate what causes such unexpected large price changes. In particular, we examine the relative importance of macroeconomic news announcements versus variation in market liquidity in explaining the observed jumps in the U.S. Treasury market. We show that while jumps occur mostly at prescheduled macroeconomic announcement times, announcement surprises have limited power in explaining bond price jumps. Our analysis further shows that preannouncement liquidity shocks, such as changes in the bid-ask spread and market depth, have significant predictive power for jumps. The predictive power is significant even after controlling for information shocks. Finally, we present evidence that post-jump order flow is less informative relative to the case where there is no jump at announcement.




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


Book Description

Using a unique high-frequency futures dataset, we characterize the response of U.S., German and British stock, bond and foreign exchange markets to real-time U.S. macroeconomic news. We find that news produces conditional mean jumps; hence high-frequency stock, bond and exchange rate dynamics are linked to fundamentals. Equity markets, moreover, react differently to news depending on the stage of the business cycle, which explains the low correlation between stock and bond returns when averaged over the cycle. Hence our results qualify earlier work suggesting that bond markets react most strongly to macroeconomic news; in particular, when conditioning on the state of the economy, the equity and foreign exchange markets appear equally responsive. Finally, we also document important contemporaneous links across all markets and countries, even after controlling for the effects of macroeconomic news.




Market Microstructure in Emerging and Developed Markets


Book Description

A comprehensive guide to the dynamic area of finance known as market microstructure Interest in market microstructure has grown dramatically in recent years due largely in part to the rapid transformation of the financial market environment by technology, regulation, and globalization. Looking at market transactions at the most granular level—and taking into account market structure, price discovery, information flows, transaction costs, and the trading process—market microstructure also forms the basis of high-frequency trading strategies that can help professional investors generate profits and/or execute optimal transactions. Part of the Robert W. Kolb Series in Finance, Market Microstructure skillfully puts this discipline in perspective and examines how the working processes of markets impact transaction costs, prices, quotes, volume, and trading behavior. Along the way, it offers valuable insights on how specific features of the trading process like the existence of intermediaries or the environment in which trading takes place affect the price formation process. Explore issues including market structure and design, transaction costs, information flows, and disclosure Addresses market microstructure in emerging markets Covers the legal and regulatory issues impacting this area of finance Contains contributions from both experienced financial professionals and respected academics in this field If you're looking to gain a firm understanding of market microstructure, this book is the best place to start.




Detecting and Forecasting High Frequency Price Jumps in the Stock Market


Book Description

In this paper, we investigate some predictable patterns in high frequency price jumps using trades, orders and quotes data on the Euronext 100 Index. A fixed volume chart allows us to control for trading volume effects and avoid non trading issues at high frequency aggregation. We detect jumps through four different methods that encompass constant volatility, time-varying volatility and periodicity. Our forecasting model is a logistic model adjusted to rare events. At an average 2-minute trading volume frequency, we find that price jumps are mainly driven by liquidity gaps in the order book. The origin of those gaps is still an open question. They may be due to order cancellations or to a low resiliency of the stock market. Our results suggest that market participants could take advantage of some predictable patterns in price jumps in order to enhance their hedging or investment strategies.