JUMPS,NEWS, AND SUBSEQUENT RETURN DYNAMICS: AN INTRADAY STUDY

We detect jumps in a high-frequency price series of exchange-traded funds (ETFs) that track the broad indexes of U.S. equity markets. Although many jumps (43%) are related to macroeconomic news, more jumps (57%) are not. No-news jumps are followed by significant return reversals for at least 60 minutes. The return dynamics after news-related jumps vary with the news characteristics. Scheduled-news jumps are followed by reversals, whereas unscheduled-news jumps are followed by momentum. Whether related to news or not, negative jumps are followed by stronger return reversals than are positive jumps.     

Superior vena cava syndrome

Approximately 15,000 cases of superior vena cava (SVC) obstruction are diagnosed in the United States annually. Malignancies (primarily lung cancer) are the underlying cause of 80-85% of cases, leaving 15-20% caused by various benign conditions, including sclerosing mediastinitis (the diagnosis in our case). Thrombolytic therapy and major advances in vascular techniques in recent years have improved the outcome and lessened the morbidity of SVC obstruction. However, even though a benign condition, sclerosing mediastitinis is a dynamic, ongoing fibrotic condition that seldom can be totally removed surgically. It frequently causes recurrent episodes of SVC obstruction, requiring further repetitive vascular procedures that can result in major morbidity and even mortality.     

The behavior of intra-daily exchange rates

The behavior of exchange rates is examined as they evolve continuously over time. The data consist of Swiss franc/U.S. dollar rates for nine days during the years 1978–1980 as quoted by a major Swiss dealer operating on the interbank market. Since this market is highly organized, the observations are market prices at the same time. The distributions of relative changes in exchange rates measured over one minute are highly leptokurtic. The normal distribution is rather rapidly approached when the measurement interval is lengthened from one up to ten minutes. Time series analysis reveals that the natural logarithms of exchange rates are adequately described by a random walk, the same stochastic process as has been found for daily, weekly, monthly and quarterly observations. For short time intervals, significant autocorrelations sometimes occur at the first few lags, which are, however, not stable enough over time to form a basis for reliable forecasts.     

On a historical note: the legacy of Thomas Hodgkin

Physicians in the practice of insurance medicine are exposed to an unbelievable spectrum of pathology. This series of short biographies is intended to give the reader a quick overview of the history of diseases encountered in our everyday practice and to see "the face behind the name." In the first article of this series, I wish to pay homage to one of the "great men of Guy's," Dr. Thomas Hodgkin.     

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.     

Cranial artery dissection

Stroke is a very common cause for mortality and morbidity, especially in the elderly where the cause is usually generalized arteriosclerosis. In persons less than 45 years of age with stroke, there is a group of uncommon illnesses that are often identified. This includes cranial artery dissection, accounting for approximately 20% of these acute neurological events. Cranial artery dissection can involve the carotids or vertebral system, and symptoms can be quite diverse depending on the area of brain ischemia. Anticoagulation is the usual treatment, and overall there is a good long-term prognosis from this entity.     

Transparency and Liquidity: A Study of Block Trades on the London Stock Exchange under Different Publication Rules

This article examines whether reducing a market's transparency, by delaying the publication of prices for block trades, has any impact on liquidity. The analysis uses a sample of 5987 blocks from the London Stock Exchange that cover three different publication regimes: immediate (1987/88), 90 minutes (1991/92), and 24 hours (1989/90). Delaying publication does not affect the time taken by prices to reach a new level, which is rapid under all regimes. Spreads differ across years, but their size relates more closely to market volatility than to speed of publication. There is therefore no gain in liquidity from delayed publication.     

Do FOMC minutes matter to markets? An intraday analysis of FOMC minutes releases on individual equity volatility and returns

This paper examines the 2006 to 2007 time period to determine the extent to which the release of the Federal Reserve minutes affects equity volatility and returns for 2832 individual firms. Using intraday data, we find that equity returns are essentially unaffected by FOMC minutes releases. We do find evidence of volatility effects, in that conditional volatility is lower prior to the minutes release and higher after the minutes release on release days, relative to a “control” day one week prior to the release date. These differences manifest at the 2:00–2:05 pm interval, and generally dissipate within 15 min. Consistent with previous literature, we also find evidence of both industry-specific and firm size effects in our data. Finally, we see that volatility is higher (lower) when the minutes are released after the Federal Reserve engages in restrictive (expansionary) monetary policy. Our results are robust to a variety of different definitions of the “control” dates, as well as differing industry definitions.     

Residential Construction Costs and the Supply of New Housing: Endogeneity and Bias in Construction Cost Indexes

Change in the level of residential construction affects macroeconomic conditions and is an important determinant of movements in house prices. Theory teaches us that increases in the cost of construction should reduce the supply of new housing. Yet empirical research has failed to find a consistent relationship between these costs and housing starts. This article introduces an entirely new set of micro-data on housing construction costs to study this issue. We develop quality-controlled, hedonic construction cost series from these data. Using this series, we estimate housing supply and construction cost functions for new single-family residences. This research demonstrates that bias in the commercial cost indexes used in existing housing supply studies is a likely cause of their poor performance in existing estimates of the supply of new single-family housing. The bias appears to be caused by an incorrect measure of labor costs and a failure to address the endogeneity of construction costs and construction activity. In contrast, starts regressions using the hedonic cost series generate much more sensible results. We find that housing starts are quite cost elastic; construction costs are endogenous in the new housing supply function, and the cost shares of material and labor in the structure of new residences are approximately 65 and 35%, respectively.     

The rolling causal structure between the Chinese stock index and futures

This paper examines the causal structure between daily closing price series of the Chinese stock index and futures from April 16, 2010, the launch date of the futures, to November 14, 2014, through a rolling approach that takes into account window sizes of a half, one, one and a half, and two years. Except for several subperiods associated with the half- and one-year window, the two series are tied together through cointegration and adjust equally toward the long-run relationship. Considering different forecasting lengths, the out-of-sample Granger causality test for each window generally reveals that no series gains forecastability from another. These results shed light on the evolving causal structure between the two series, which is determined to be stable. The futures market, however, has not been fully developed to serve as a price discovery source. Increasing openness of investment channels and policy incentives to attract well-informed traders may stimulate futures market development.     

European systemic credit risk transmission using Bayesian networks

The analysis of systemic credit risk is one of the most important concerns within the financial system. Its complexity lies in adequately measuring how the transmission of systemic default spreads through assets or financial markets. The transmission structure of systemic credit risk across several European sectoral CDS is studied by dynamic Bayesian networks. The new approach allows for a more advanced analysis of systemic risk transmission, including long-term and more complex relationships. The modelling reveals as relevant only relationships between the original series and one- and two-lagged series. Network structure learning displays a robust and stationary underlying risk transmission structure, pointing to a consolidated transmission mechanism of systemic credit risk between CDSs. Between 5 % and 40 % of sectoral CDS series variances are explained by the network relationships. The modelling allows us to ascertain which relationships between the CDS series show positive (amplifier) and negative (reducer) effects of systemic risk transmission.     

The Behavior of Option Price Around Large Block Transactions in the Underlying Security

This paper investigates the behavior of stock and option prices around block trades in stocks. The results indicate that for both up tick and downtick block trades the stock prices adjust within a fifteen minute period after the block trade. Moreover, for uptick blocks there is no evidence of any stock price reaction before the block trade. However, the adjustment of stock price for downtick blocks begins about fifteen minutes before the block trade. We also find that option price behavior differs considerably from stock price behavior. Specifically, our results suggest that options exhibit abnormal price behavior starting thirty minutes before the block and ending one hour after the block. The pattern is more pronounced for downtick blocks and for put options. We interpret this abnormal price behavior of options before the block trade as consistent with intermarket frontrunning.     

A new measure of the direction and timing of information flow between markets

This paper examines the direction and timing of the flow of information between CBOE call options and the underlying NYSE stocks using a new methodology that avoids potential biases that can be introduced by using fixed-length time intervals. For the stocks in the sample, stock quotes tend to lead option quotes, but the length of the lead, ranging from a few seconds to six minutes, is shorter than previously thought. Options also occasionally lead stocks, but there is no evidence that the option lead exceeds three minutes.     

Speed of convergence to market efficiency for NYSE-listed foreign stocks

This paper contributes to the cross-listing literature by documenting the speed of convergence to market efficiency for foreign stocks listed on the NYSE. We find that, on average, it takes 30–60 minutes for a foreign stock to achieve market efficiency. For a comparable US stock, it takes only 10–15 minutes. The significant difference between foreign and US stocks remains robust when the speed is measured by the number of transactions rather than in calendar time. After relevant firm characteristics are controlled for, the time that it takes for foreign stocks to reach efficiency is significantly negatively related to the quality of their home country institutions. We find that one possible channel through which institutions affect the speed is through their impact on information asymmetry.     

The channels of monetary policy triggered by central bank actions and statements in the Australian equity market

Owing to the discrete disclosure practices of the Reserve Bank of Australia, this paper provides new evidence on the channels of monetary policy triggered by central bank actions (monetary policy announcements) and statements (explanatory minutes releases), in the Australian equity market. Both monetary policy announcements and explanatory minutes releases are shown to have a significant and comparable impact on the returns and volatility of the Australian equity market. Further, distinct from US and European studies that find strong evidence of the interest rate, bank loan and balance sheet channels and no evidence of the exchange rate channel following central bank actions, this paper finds that monetary policy impacts the Australian equity market via the exchange rate, interest rate and bank loan channels of monetary policy, with only weak evidence of the balance sheet channel of monetary policy. These channels are found to be operating irrespective of the trigger (monetary policy announcements or explanatory minutes releases), though results are somewhat weaker when examining the explanatory minutes releases. These results have important implications for central bank officials and financial market participants alike: by confirming a comparable avenue to affect monetary policy; and providing an explication of its impact on the Australian equity market.     

The Intertemporal Relationship Between the Currency Spot Market and the Currency Option Market

This study examines the lead/lag relationship between currency option and currency spot markets for the Deutsche mark and the Japanese yen. Using intraday currency option transactions data for the year 1989 and applying a European type currency option pricing model, pair data series of the implied and the observed exchange rates are compiled. Causality tests are then employed to test the causal relation between the observed and the implied exchange rate changes. The results indicate that the currency spot market leads the currency option market by about ninety minutes.     

Market Structure and Return Volatility: Evidence from the Hong Kong Stock Market

There is no consensus about the cause for higher volatility at the market open than at the market close in the U.S. market. As an order–driven, nonspecialist market, the Hong Kong stock market provides a useful setting for an examination. If halt of trade were the major cause of higher open–to–open volatility, the open–to–open volatility in the Hong Kong market would be higher. However, this is not observed. The autocorrelation of the open–to–open return series also indicates that the temporary price deviation at the market opening is not significant. We view these findings as consistent with the specialist argument.     

The effects of non-trading on the illiquidity ratio

Using a simulation analysis we show that non-trading can cause an overstatement of the observed illiquidity ratio. Our paper shows how this overstatement can be eliminated with a very simple adjustment to the Amihud illiquidity ratio. We find that the adjustment improves the relationship between the illiquidity ratio and measures of illiquidity calculated from transaction data. Asset pricing tests show that without the adjustment, illiquidity premia estimates can be understated by more than 17% for NYSE securities and by more than 24% for NASDAQ securities.     

An Investigation of Transactions Data for NYSE Stocks

Using transactions data, the behavior of returns and characteristics of trades at the micro level is examined. A minute-by-minute market return series is formed and tested for normality and autocorrelation. Evidence of differences in return distributions is found among overnight trades, trades during the first 30 minutes following the market opening, trades at the close, and trades during the remainder of the day. The latter distribution is found to be normal. Unusually high returns and standard deviations of returns are found at the beginning and the end of the trading day. When the beginning-and end-of-the-day effects are omitted, autocorrelation in the market return series is reduced substantially. A number of patterns in trading are reported.     

Zero-intelligence realized variance estimation

Given a time series of intra-day tick-by-tick price data, how can realized variance be estimated? The obvious estimator—the sum of squared returns between trades—is biased by microstructure effects such as bid–ask bounce and so in the past, practitioners were advised to drop most of the data and sample at most every five minutes or so. Recently, however, numerous alternative estimators have been developed that make more efficient use of the available data and improve substantially over those based on sparsely sampled returns. Yet, from a practical viewpoint, the choice of which particular estimator to use is not a trivial one because the study of their relative merits has primarily focused on the speed of convergence to their asymptotic distributions, which in itself is not necessarily a reliable guide to finite sample performance (especially when the assumptions on the price or noise process are violated). In this paper we compare a comprehensive set of nineteen realized variance estimators using simulated data from an artificial “zero-intelligence” market that has been shown to mimic some key properties of actual markets. In evaluating the competing estimators, we concentrate on efficiency but also pay attention to implementation, practicality, and robustness. One of our key findings is that for scenarios frequently encountered in practice, the best variance estimator is not always the one suggested by theory. In fact, an ad hoc implementation of a subsampling estimator, realized kernel, or maximum likelihood realized variance, delivers the best overall result. We make firm practical recommendations on choosing and implementing a realized variance estimator, as well as data sampling.