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Journal Article
What do chain store sales tell us about consumer spending?
Released at both weekly and monthly intervals, chain store indexes provide a timely measure of the sales performance of large retail companies. This article investigates whether the indexes can also play a role in tracking and forecasting consumer spending as a whole. The authors begin by exploring the extent to which developments in chain store sales are representative of retail sales trends overall. They then conduct formal statistical tests of the relationship between chain store data and official measures of total retail sales and personal consumption expenditure. They find that monthly ...
Working Paper
Real-time price discovery in global stock, bond and foreign exchange markets
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 ...
Working Paper
Do energy prices respond to U.S. macroeconomic news? a test of the hypothesis of predetermined energy prices
Models that treat innovations to the price of energy as predetermined with respect to U.S. macroeconomic aggregates are widely used in the literature. For example, it is common to order energy prices first in recursively identified VAR models of the transmission of energy price shocks. Since exactly identifying assumptions are inherently untestable, this approach in practice has required an act of faith in the empirical plausibility of the delay restriction used for identification. An alternative view that would invalidate such models is that energy prices respond instantaneously to ...
Report
All-to-All Trading in the U.S. Treasury Market
While the U.S. Treasury market remains the deepest and most liquid securities market in the world, several episodes of abrupt deterioration in market functioning over recent years have brought the market’s resilience into focus. The adoption of all-to-all trading in the Treasury market could be one avenue to strengthen market resilience. Conceptually, all-to-all trading would allow any market participant to trade directly with any other market participant. This could be particularly helpful in times of stress, when the capacity of traditional intermediaries may be tested. In this paper, we ...
Working Paper
Informed and strategic order flow in the bond markets
We study the role played by private and public information in the process of price formation in the U.S. Treasury bond market. To guide our analysis, we develop a parsimonious model of speculative trading in the presence of two realistic market frictions -- information heterogeneity and imperfect competition among informed traders -- and a public signal. We test its equilibrium implications by analyzing the response of two-year, five-year, and ten-year U.S. bond yields to order flow and real-time U.S. macroeconomic news. We find strong evidence of informational effects in the U.S. Treasury ...
Working Paper
Fed Communication, News, Twitter, and Echo Chambers
We estimate monetary policy surprises (sentiment) from the perspective of three different textual sources: direct central bank communication (FOMC statements and press conferences), news articles, and Twitter posts during FOMC announcement days. Textual sentiment across sources is highly correlated, but there are times when news and Twitter sentiment substantially disagree with the sentiment conveyed by the central bank. We find that sentiment estimated using news articles correlates better with daily U.S. Treasury yield changes than the sentiment extracted directly from Fed communication, ...
Working Paper
Rise of the machines: algorithmic trading in the foreign exchange market
We study the impact that algorithmic trading, computers directly interfacing at high frequency with trading platforms, has had on price discovery and volatility in the foreign exchange market. Our dataset represents a majority of global interdealer trading in three major currency pairs in 2006 and 2007. Importantly, it contains precise observations of the size and the direction of the computer-generated and human-generated trades each minute. The empirical analysis provides several important insights. First, we find evidence that algorithmic trades tend to be correlated, suggesting that the ...
Working Paper
The monetary origins of asymmetric information in international equity markets
Existing studies using low-frequency data have found that macroeconomic shocks contribute little to international stock market covariation. However, these papers have not accounted for the presence of asymmetric information where sophisticated investors generate private information about the fundamentals that drive returns in many countries. In this paper, we use a new microstructure data set to better identify the effects of private and public information shocks about U.S. interest rates and equity returns. High-frequency private and public information shocks help forecast domestic money and ...
Working Paper
Counterparty Risk and Counterparty Choice in the Credit Default Swap Market
We investigate how market participants price and manage counterparty risk in the post-crisis period using confidential trade repository data on single-name credit default swap (CDS) transactions. We find that counterparty risk has a modest impact on the pricing of CDS contracts, but a large impact on the choice of counterparties. We show that market participants are significantly less likely to trade with counterparties whose credit risk is highly correlated with the credit risk of the reference entities and with counterparties whose credit quality is relatively low. Furthermore, we examine ...
Working Paper
Soft information in earnings announcements: news or noise?
This paper examines whether the "soft" information contained in the text of management's quarterly earnings press releases is incrementally informative over the company's reported "hard" earnings news. We use Diction, a textual-analysis program, to extract various dimensions of managerial net optimism from more than 20,000 corporate earnings announcements over the period 1998 to 2006 and document that unanticipated net optimism in managers' language affects announcement period abnormal returns and predicts post-earnings announcement drift. We find that it takes longer for the market to ...