Momentum is really short-term momentum

We demonstrate the estimation biases that arise when stock returns from 12 month prior and 2 month prior are included within intermediate and recent past momentum profits. These biases lead to an overestimation of intermediate past momentum but an underestimation of recent past momentum in the US market. There is no significant difference between the predictability of stock performance in the intermediate past and the recent past once we exclude these two months from the construction of momentum strategies in the US and each of the 26 major international markets.     

Macroeconomic news and exchange rates

This paper examines the relationship between macroeconomic news and the dollar–Mark and dollar–Yen exchange rates. We employ high-frequency observations for a 10-year period. We investigate whether exchange rate observations need to be sampled at a high frequency in order to detect significant effects from news announcements on mean returns and volatility. We examine the linearity and symmetry of the responses to news and also allow the effects of the news announcements to vary across states of the economy. We find that news indicating a stronger U.S. economy causes an appreciation of the U.S. dollar, that the responses are essentially complete within 5 min, and that measuring the responses over 6-h intervals eliminates the statistical significance of the news. The effects of news appear linear and symmetric but there is some evidence that the effects depend on the state of the economy.     

Noise and efficient variance in the Indonesia Stock Exchange

We separate noise from information related variance for stocks traded on the Indonesian Stock Exchange with a realized variance estimator. We find that the average optimal sampling frequency to estimate the realized variance is 9 min and that market quality has improved after 2004. The positive relation between the standard deviation of the noise variance and the square root of the efficient realized variance implies that as uncertainty about asset values increases the risk of transacting with traders with superior information increases as well. Furthermore, variance ratio comparisons reveal that private information is a significant trading component on the IDX.     

The importance of the volatility risk premium for volatility forecasting

In this paper, we study the role of the volatility risk premium for the forecasting performance of implied volatility. We introduce a non-parametric and parsimonious approach to adjust the model-free implied volatility for the volatility risk premium and implement this methodology using more than 20 years of options and futures data on three major energy markets. Using regression models and statistical loss functions, we find compelling evidence to suggest that the risk premium adjusted implied volatility significantly outperforms other models, including its unadjusted counterpart. Our main finding holds for different choices of volatility estimators and competing time-series models, underlying the robustness of our results.     

Emerging markets: Is the trend still your friend?

Using an extensive sample consisting of 30 emerging countries and 38 years of data, we examine the profitability of two momentum and two trend following strategies. Over the entire sample, we find excess returns that are economically and statistically significant for all four strategies. Furthermore, we show that the significance of the excess returns remains after adjusting for macroeconomic risk factors. In addition, we find that in spite of their relative neglect, trend strategies frequently demonstrate superior performance, compared to momentum strategies. However, contrary to previous research, we do not find that time series momentum strategies outperform cross-sectional momentum strategies. Finally, we show that the effectiveness of the alternative strategies is largely diminished once transactions costs and liberalizations in emerging markets are considered.     

Dynamic news effects in high frequency Euro exchange rates

This paper investigates the dynamic, short-run response of Euro exchange rate returns to the information surprise of global macroeconomic announcements. In addition, it advocates a new approach to modelling intraday exchange rate volatility to allow accurate characterisation of reactions. US macroeconomic news generates far more dramatic responses in EUR–USD returns and returns volatility than news on the macroeconomic performance of other countries. However, some Eurozone and German indicators are also important and UK announcements are important for the EUR–GBP rate. The reaction of exchange rate returns to news is very quick and occurs within the first 5 min of the release with very little reaction in the 15 min before and after. These findings show that exchange rates are strongly linked to fundamentals in the 5-min intervals immediately following the data release. Reactions to news are found to vary in magnitude over the sample, with the largest responses to news occurring in response to turning points in the cumulative flow of news.     

Can dual-currency sovereign CDS predict exchange rate returns?

This paper examines both the time-series and cross-sectional variation in the difference between US dollar and Euro denominated sovereign CDS spreads for a group of Eurozone countries. We find that the spread difference between dual-currency sovereign CDS significantly affects the bilateral exchange rate returns. In addition, the difference could predict the cumulative exchange rate returns up to 10 days. The results strongly suggest that the difference contains important information for the exchange rate dynamics at various phases of the crisis.     

Asymmetries of the intraday return-volatility relation

This study investigates the asymmetry of the intraday return-volatility relation at different return horizons ranging from 1, 5, 10, 15, up to 60 min and compares the empirical results with results for the daily return horizon. Using data on the S&P 500 (SPX) and the VIX from September 25, 2003 to December 30, 2011 and a Quantile-Regression approach, we observe strong negative return-volatility relation over all return horizons. However, this negative relation is asymmetric in three different aspects. First, the effects of positive and negative returns on volatility are different and more pronounced for negative returns. Second, for both positive and negative returns, the effect is conditional on the distribution of volatility changes. The absolute effect is up to five times larger in the extreme tails of the distribution. Third, at the intraday level, there is evidence of both autocorrelation in volatility changes and cross-autocorrelation with returns. This lead-lag relation with returns is also very asymmetric and more pronounced in the tails of the distribution. These effects are, however, not observed at the daily return horizon.     

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.     

The nexus between financial integration and real economy: Solow-growth model concept

This paper aims to investigate the nexus between financial integration and the real economy in ASEAN + 3 economies based on the concept of Solow-Growth Model. The equity indices as a proxy for financial markets are collected from each ASEAN + 3 members and are segmented between two periods; before and after the financial cooperation agreement period. The finding presents several outcomes; 1) no cointegration nexus is found in the system during the pre-agreement periods; 2) the markets are found cointegrated during the post-agreement period, 3) financial integration is found to influence the real sectors of ASEAN + 3 economies. Finally, this study offers policy implications to improve financial integration for stabilizing the real economy.     

Google Internet search activity and volatility prediction in the market for foreign currency

I study whether evolution in the number of Google Internet searches for particular keywords can predict volatility in the market for foreign currency. I find that data on Google searches for the keywords economic crisis + financial crisis and recession has incremental predictive power beyond the GARCH(1,1). These results support the mixture of distributions hypothesis in that volatility is linked to the stochastic rate at which information flows into the marketplace. These results also demonstrate the potential for Google to become a storehouse of information for financial markets.     

Dynamic conditional copula correlation and optimal hedge ratios with currency futures

This study investigates efficiency of the futures hedge implemented through the currency markets. The copula DCC-EGARCH model is estimated with the bivariate error correction term to minimize variance of the currency portfolios. The estimation results for the currencies of the Australian dollar, Canadian dollar, euro, British pound and Japanese yen show that the inclusion of the external realized variance estimators into the variance equation of the estimated model improves the model's ability to account for the clustered data variance. In hedging portfolios, the information content of the realized variance estimator effectively reduces the variance of the portfolios.     

MicroHoo: Deal failure,industry rivalry,and sources of overbidding

On February 1, 2008, Microsoft offered $43.7 billion for Yahoo. This offer was a milestone in the battle between Microsoft and Google to control the Internet search industry. The announcement accompanied a substantial decrease in Microsoft's stock price. Investors apparently considered the bid too high and doubted Microsoft's ability to create value with Yahoo's assets (the announcement combined returns implied a total value destruction of $13.29 billion). Using the abnormal returns pattern of industry firms and customers, this article examines the sources of overbidding. Our analyses indicate that Microsoft's aggressive move is rooted in its rivalry with Google, but the personality traits of the involved CEOs might explain also a portion of the overbidding.     

Sovereign wealth fund investment and the return-to-risk performance of target firms

This paper investigates the relationship between sovereign wealth fund (SWF) investment and the return-to-risk performance of target firms. Specifically, we find that target firm raw returns decline following SWF investment. Though risk also declines following SWF investment, we find that SWF investment is associated with a reduction in the compensation of risk over the 5 years following acquisition. Firm volatility decomposition suggests that idiosyncratic risk is what mainly drives these impacts toward decline. Employing a multinomial logit framework wherein combinations of target returns and risk movements are categorized, we see that, in cases of foreign investment, SWFs’ target firm performance most closely resembles that of other government-owned firms. The observed results are inconsistent with predictions of higher volatility and improved returns due to monitoring firm activities from the institutional investor literature. This suggests that SWFs may not provide some of the benefits that are offered by other institutional investors.     

Gaining a competitive edge through acquisitions: Evidence from the telecommunications industry

I study the announcement effects of all acquisitions in the recent telecom wave on both the acquirers and their industry competitors. I find evidence of negative rival returns (? 0.55%, t-stat = 2.47) by focusing on non-horizontal acquisitions where rivals are less susceptible to experience positive returns due to increased market power or expectation that some will become future targets themselves. I find that this effect is worse for closer rivals defined as having similar size and being in the same primary service area as the acquirer. Competitor returns are positively correlated with those of the acquirers suggesting that the negative impact experienced by competitors is driven by acquisitions in which the acquirer itself is earning negative abnormal returns. Results are broadly consistent with the Competitive Advantage Hypothesis that posits acquisitions are a means of corporate restructuring in a changing environment, awarding the acquirer a competitive edge and thereby making these acquisitions costly for their non-merging competitors.     

A note on the relationship between high-frequency trading and latency arbitrage

We develop three artificial stock markets populated with two types of market participants — HFT scalpers and aggressive high frequency traders (HFTrs). We simulate real-life trading at the millisecond interval by applying Strongly Typed Genetic Programming (STGP) to real-time data from Cisco Systems, Intel and Microsoft. We observe that HFT scalpers are able to calculate NASDAQ NBBO (National Best Bid and Offer) at least 1.5 ms ahead of the NASDAQ SIP (Security Information Processor), resulting in a large number of latency arbitrage opportunities. We also demonstrate that market efficiency is negatively affected by the latency arbitrage activity of HFT scalpers, with no countervailing benefit in volatility or any other measured variable. To improve market quality, and eliminate the socially wasteful arms race for speed, we propose batch auctions in every 70 ms of trading.     

The impact of religious practice on stock returns and volatility

With a psychological and behavioral perspective, this paper examines whether religious practice, through its influence on investors' moods and emotions, affect the behavior of the stock markets and investors in 15 Islamic countries over the period December 31, 2005 to December 31, 2015 and over four sub-periods (before and after both the global financial crisis and the Arab spring). The results indicate that volatility decreases during the month of Ramadan and is significantly different from the volatility observed in the other 11 months of the Islamic calendar year in most Muslim countries. We also identify that changes in stock returns and volatility during the month of Ramadan are related to religious practice and not due to the global financial crisis or the Arab spring. The findings significantly improve the understanding of the role of religious practice on stock market behavior and as such may be of great interest to investors and market regulators.     

Do DOW returns really influence the intraday Spanish stock market behavior?

Although the behavior of the Spanish stock market has been studied from many different points of view, none of the previous research has ever analyzed the influence of previous daytime, overnight and daily returns from the DOW and IBEX upon 5-min intraday returns of the IBEX throughout the complete trading session. Clear evidence is provided relative to the influence of the DOW. The main finding that it underreacts to the DOW returns in the first hours of trading but overreacts during the last 2 h (after the opening of the US markets) would help to develop a profitable trading strategy.     

The home bias is here to stay

Over the last 15 years, dramatically decreasing foreign investment costs have not reduced the home bias. We show that the home bias induced by a given cost is proportional to the factor ρ/(1 − ρ), where ρ is the average correlation between markets. This factor is very sensitive to the correlation, especially when the correlation is high. Empirically, correlations have been steadily increasing from 0.4 in the 90’s to about 0.9 today. Thus, the decreasing extra costs are increasingly magnified, explaining the persistence of the home bias, and predicting its continuation.     

Impact of the introduction of call auction on price discovery: Evidence from the Indian stock market using high-frequency data

Call markets are claimed to aggregate information and facilitate price discovery where continuous markets may fail. The impact of the introduction of call auction has not been found uniformly beneficial, possibly due to poor design or due to ‘thick market externalities’. This paper examines the reintroduction of opening call auction at the National Stock Exchange of India in 2010. The results suggest that the auctions attract very little volume, the intraday pattern of volume and volatility in the continuous market remains unchanged and a large fraction of price discovery, measured by the Weighted Price Contribution, still takes place in the first 15 min of continuous market. However, the market synchronicity has improved after the introduction of the auction. Our findings suggest that the ability to attract volume in the call auction for effective price discovery depends on the institutional settings and the characteristics of liquidity supply in the market.