The Effects of Unanticipated Macroeconomic News on Debt Markets

We examine the effects of unanticipated macroeconomic news on two interest rate futures using intraday data. The surprises are identified on the basis of their potential effects on debt markets (positive or negative) and by their size (large, medium, or small). The results show distinct ex‐post return patterns associated with different categories of news surprises. For example, large surprises have the strongest immediate effects whereas negative surprises have the longest persisting effects. Tests that examine the separate effects of each announcement suggest that debt responses vary with the size and potential effect of the news surprise in each announcement.     

Intraday Empirical Regularities in Interest Rate and Equity Index Futures Markets, and the Effect of Macroeconomic Announcements

This paper focuses on the intraday behaviour of returns, volatility, volume and price reversals for the Short Sterling interest rate and FTSE100 stock index futures contracts traded on the London International Financial Futures and Options Exchange (LIFFE). It also examines the effect of scheduled macroeconomic announcements and interest rate changes on the intraday behaviour of the variables of interest. We find clear differences and similarities with US studies and between the interest rate and equity contracts, which have important theoretical implications. This new evidence helps discriminate between the theories seeking to explain these intraday patterns.     

Macroeconomic Announcements and the Distribution of Price-Endings in the U.S. Treasury Market

We investigate how new information impacts quote clustering in the bond market. We find that clustering, along with quote activity, price volatility and bid-ask spreads, increases sharply in the minutes following releases of macroeconomic news. Each returns to near-normal levels within the hour. Effects are strongest for more liquid on-the-run notes and for the announcements typically associated with substantial information flow. The strong positive comovement of clustering, quote activity, price volatility, and bid-ask spreads supports the conclusion that innovations of these variables are endogenous to the arrival and incorporation of information into prices.     

Intraday Patterns in FX Returns and Order Flow

Using a comprehensive high‐frequency foreign exchange data set, we present evidence of time‐of‐day effects in foreign exchange returns through a significant tendency for currencies to depreciate during local trading hours. We confirm this pattern across a range of currencies and time zones. We also find that this pattern is reflected in order flow and suggest that both patterns relate to the tendency of market participants to be net purchasers of foreign exchange in their own trading hours. Data from a single market maker appears to corroborate that interpretation.     

Commodities and Macroeconomic Factors: Unconditional Volatility Measures

Abstract:

This study focuses on the measurement of spillover effects from macroeconomic factors to commodity volatility. It argues that such measurement is sensitive to volatility computation and to causality testing. To this end, I analyze two commodity data sets-gold and the Continuous Commodity Index (1969-2011), and twenty-four Dow Jones futures indexes (1991-2011)-and various macroeconomic indicators. I conclude that the macroeconomic factors that influence volatility generally depend on the commodity under consideration. I also explore whether commodities of the same class experience volatility shifts around the same dates, and find that this is not the case except for energy commodities.     

News Releases, Market Integration, and Market Leadership

Using intraday data we examine the response of futures on the British Long Gilt (Gilt), the German Government Bond (Bund), the U.S. Treasury Bond (Bond), the Japanese Government Bond (JGB), and the Italian Government Bond (IGB) to the release of U.S. macroeconomic news. Bond, Gilt, and Bund futures respond strongly to the news releases. The response of JGB futures is less pronounced, and IGB futures display weak responses at best. The instruments take time to adjust to news in the announcements. Following the announcements, Bond futures exert a high degree of market leadership. Evidence of increasing market integration is also noted.     

Overreaction of country ETFs to US market returns: Intraday vs. daily horizons and the role of synchronized trading

In this paper we study the intraday price formation process of country Exchange Traded Funds (ETFs). We identify specific parts of the US trading day during which Net Asset Values (NAVs), currency rates, premiums and discounts, and the S&P 500 index have special effects on ETF prices, and characterize a special intraday and overnight updating structure between these variables and country ETF prices. Our findings suggest a structural difference between synchronized and non-synchronized trading hours. While during synchronized trading hours ETF prices are mostly driven by their NAV returns, during non-synchronized trading hours the S&P 500 index has a dominant effect. This effect also exceeds the one that the S&P 500 index has on the underlying foreign indices and suggests an overreaction to US market returns when foreign markets are closed.     

Information and volatility links in the foreign exchange market

We apply the trading model of Fleming et al (1998 ). to a number of currency markets. The model posits that two markets can have common volatility structures as a result of receiving common information and from cross‐hedging activity where a position in one currency is used to hedge risk in a position taken in another. Our results imply that the model is effective in identifying common information flows and volatility spillovers in the currency markets and that some of these effects are lost when simply examining raw correlations. A series of specification tests of the 21 bivariate systems that are examined provides support for the trading model in the foreign exchange context.     

U.S. Banking Sector Operational Losses and the Macroeconomic Environment

Using supervisory data from large U.S. bank holding companies (BHCs), we find that BHCs incur more operational losses in adverse macroeconomic conditions driven significantly by the higher frequency and severity of tail events. Among different operational risk types, we find that losses from BHCs' failure to meet obligations to clients or from the design of their products are particularly countercyclical. We also show that larger and more leveraged BHCs have a higher macroeconomic sensitivity of operational risk. Overall, our findings provide new evidence regarding U.S. banking organizations' exposure to macroeconomic shocks with implications for risk management practices and supervisory policy.     

Central Bank Actions and Words: The Intraday Effects of FOMC Policy Communications on Individual Equity Volatility and Returns

We compare intraday impacts of the release of Federal Reserve decision announcements and of Federal Open Market Committee minutes between 2004 and 2015 on 1,997 equity return and volatility series. We find that returns are unresponsive to either news release, but conditional volatility increases for both, manifesting immediately after each information release, and persisting for 30 minutes post‐announcement. These effects are larger for decisions than for minutes. On stratifying firms by trading intensity, we find most “high trading intensity” firms respond to these announcements, while “low trading intensity” firms are less affected. Our results show that traders respond, albeit differently, to both sets of information releases.     

Stale Information,Shocks, and Volatility

We propose a new approach to measuring the effect of unobservable private information on volatility. Using intraday data, we estimate the effect of a well‐identified shock on the volatility of stock returns of European banks as a function of the quality of public information available about the banks. We hypothesize that as publicly available information becomes stale, volatility effects and its persistence increase, as private information of investors becomes more important. We find strong support for this idea in the data. We further show that stock volatility is higher just before important announcements if information is stale.     

Nominal Interest Rates and the News

This paper provides new estimates of the impact of monetary policy actions and macroeconomic news on the term structure of nominal interest rates. The key novelty is to parsimoniously capture the impact of news on all interest rates using a simple no‐arbitrage model. The different types of news are analyzed in a common framework by recognizing their heterogeneity, which allows for a systematic comparison of their effects. This approach leads to novel empirical findings. First, monetary policy causes a substantial amount of volatility in both short‐term and long‐term interest rates. Second, macroeconomic data surprises have small and mostly insignificant effects on the long end of the term structure. Third, the term‐structure response to macroeconomic news is consistent with considerable interest‐rate smoothing by the Federal Reserve. Fourth, monetary policy surprises are multidimensional while macroeconomic surprises are one‐dimensional.     

Size,value, and momentum in developed country equity returns: Macroeconomic and liquidity exposures

The paper investigates value and momentum factors in 23 developed international stock markets. We find that typically value and momentum premia are smaller and more negatively correlated for large market capitalization stocks relative to small. Momentum factors are more highly correlated internationally relative to value. We provide international evidence on three sets of risk exposures of value and momentum returns: macroeconomic risk, funding liquidity risk, and stock market liquidity risk. We find that value returns are typically lower prior to a recession while momentum returns often exhibit little sensitivity. Value returns are typically lower in times of poor funding liquidity, whereas, with notable exceptions, momentum returns are typically unaffected. Lastly, for almost all countries, value returns are high in poor stock market liquidity conditions.     

Earnings Announcements: Good News for Institutional Investors and Short Sellers

In this paper, we consider the trading behavior of institutional investors and short sellers around earnings announcements. The results suggest that institutional investors, and to a lesser extent short sellers, successfully anticipate earnings news. In the period immediately after the earnings announcement, both types of traders are active in the market and trade in response to the earnings announcement. In particular, short sellers are quick to increase their short positions when a company releases bad news. Institutional traders also trade in response to the news; however, they take longer to react.     

A Tale of Two Anomalies: Higher Returns of Low‐Risk Stocks and Return Seasonality

Prior studies have shown that low beta and low volatility stocks earn higher average returns than high beta and high volatility stocks, contradicting the prediction of the capital asset pricing model and the fundamental relationship between risk and return. In this paper, we demonstrate that this phenomenon is driven by the seasonality of stock returns. We show that the risk‐return tradeoff does hold in the nonsummer months, and that switching to a portfolio of low‐risk stocks in summer outperforms—both in terms of absolute and in risk‐adjusted returns—buy and hold strategies as well as the Sell in May strategy of switching to treasury bills in summer.     

Imperfect Information and Stock Market Volatility

The purpose of this paper is to (1) develop a model to show how imperfect information can create excess volatility in asset returns and (2) provide empirical evidence consistent with the model. In this framework, variations in information quality cause the market prices to fluctuate more than the corresponding economic fundamentals. Using high‐frequency data from 1988 to 2002, the empirical evidence supports the predictions of the model by showing that economic volatility, defined as squared deviations of the quarterly gross domestic product (GDP) growth rate from its long‐run trend, can explain about half of the variation in S&P 500‐stock index quarterly volatility.     

Passive Institutional Ownership,R2 Trends,and Price Informativeness

A distinctive trend in the capital markets over the past two decades is the rise in equity ownership of passive financial institutions. We propose that this rise has a negative effect on price informativeness. By not trading around firm‐specific news, passive investors reduce the firm‐specific component of total volatility and increase stock correlations. Consistent with this hypothesis, we find that the growth in passive institutional ownership is robustly associated with the growth in market model R²s of individual stocks since the early 1990s. Additionally, we find a negative relation between passive ownership and earnings predictability, an informativeness proxy.     

Selective disclosure and the role of Form 8-K in the post-Reg FD era

We investigate the impact of Form 8-K filings on cross-firm differences in analysts’ private or idiosyncratic information in the post-Reg FD era. Using firms’ connections to the investment community to identify the likelihood of selective disclosure, we document differences in analysts’ idiosyncratic information arising from selective disclosure before 8-K filings. While filings of 8-Ks pursuant to Reg FD attenuate the link between connections and analysts’ idiosyncratic information, they do so only after selective disclosures have already resulted in some analysts having better private information. In addition, the connections continue to facilitate private information search after the filings of non-Reg FD-specific 8-Ks.     

Word-of-mouth communication,noise-driven volatility,and public disclosure

This paper examines how a firm adjusts its disclosure quality in response to technological innovations that improve investors' private information. We show that more precise private information can endogenously amplify supply shocks and, hence, increase noise-driven (or non-fundamental) price volatility. We study how the firm reacts to such changes and derive a necessary and sufficient condition under which the firm improves its disclosure quality when investors are informed with better private signals. We then apply our model to study investors' private word-of-mouth communication. Our analysis highlights a “dark side” of word-of-mouth communication and a call for better public disclosure even if private communication is assumed to be unbiased and truthful. We provide empirical predictions regarding how price volatility, market depth, and firms’ disclosure qualities would change as technological innovations, such as social media, facilitate information sharing among investors.