Structural changes,bid–ask spread composition and tick size in inter-bank futures trading

This paper studies a period containing three major structural changes, which constitute a natural experiment in the NYSE.Euronext-LIFFE European short-term interest rate (STIR) futures market. These changes comprise (1) a 50% reduction in minimum tick size for the most heavily traded contract, (2) European Monetary Union and (3) the transition from open outcry to electronic trading. We analyse a number of microstructure features of the four largest European interest rate futures contracts throughout this period. In particular, we focus on bid–ask spread composition using a recent model which is appropriate for this market structure. Our analysis identifies the tick size as the largest bid–ask spread component in almost every instance, which suggests that participants in this STIR future market might benefit from a reduction in minimum tick sizes.     

Explaining the intra-day variation in the bid–ask spread in competitive dealership markets – A research note

There are many possible explanations for variation in the inside bid–ask spread during the trading day, including informed trading, price inelastic market demand, price discovery, statistical artefact and market concentration. Each of these explanations is examined for consistency with respect to both the inside and average bid–ask spread, observed both inside and outside the mandatory quote period in the London Stock Exchange.     

Share repurchase tender offers and bid–ask spreads

This paper examines the impact of share repurchase tender offers on the market microstructure. We find that there is a temporary reduction in the bid–ask spread, and a temporary increase in volume and quotation depth during the offer period. Our evidence suggests that the bid–ask spread is asymmetric during the offer period with the bid-side spread smaller than the ask-side spread. The temporary reduction in the spread around offers is consistent with the competing-market-maker hypothesis which predicts that the intensified competition for the market maker raises bid prices and narrows the spread asymmetrically during the offer period.     

Trading activity and bid–ask spreads of individual equity options

We empirically examine the impact of trading activities on the liquidity of individual equity options measured by the proportional bid–ask spread. There are three main findings. First, the option return volatility, defined as the option price elasticity times the stock return volatility, has a much higher power in explaining the spread variations than the commonly considered liquidity determinants such as the stock return volatility and option trading volume. Second, after controlling for all the liquidity determinants, we find a maturity-substitution effect due to expiration cycles. When medium-term options (60–90 days maturity) are not available, traders use short-term options as substitutes whose higher volume leads to a smaller bid–ask spread or better liquidity. Third, we also find a moneyness-substitution effect induced by the stock return volatility. When the stock return volatility goes up, trading shifts from in-the-money options to out-of-the-money options, causing the latter’s spread to narrow.     

Stock markets’ bubbles burst and volatility spillovers in agricultural commodity markets

Our paper focuses on commodity financialization and the gradual integration between commodity and financial markets, investigating to what extent shocks in stock markets impact commodity price volatility, and the persistency of the phenomenon. To this end, we estimate Volatility Impulse Response Function from stock markets to agricultural commodity markets over a symmetric window before and after two of the most important bubble bursts since the new millennium, the 2000 dot.com bubble and the 2008 financial crises. Results highlight that volatility spillover increased significantly after the 2008 financial crises, signalling a rising interconnection between financial and agricultural commodity markets.     

Stock market closure and intraday stock index futures market volatility: “contagion”, bid–ask bias or both?

Chang et al. [Journal of Business 68 (1) (1995) 61] examine the impact of the closure of the New York Stock Exchange (NYSE) on S&P500 stock index futures traded on the Chicago Mercantile Exchange. They document a decline in futures market volatility immediately after the close of the NYSE, and an increase 15 minutes later when the futures market closes. They attribute this to contagion–i.e. a decline in information transfer from equities to futures markets following the closure of the underlying market. This paper examines the impact of the extension of trading hours in Hang Seng Index futures traded on the Hong Kong Futures Exchange on the 20 November, 1998 to 15 minutes after the close of the underlying market (the Stock Exchange of Hong Kong). Using the unique natural experiment provided by this change, a pattern similar to US markets is documented for the Hang Seng Index Futures following the change in trading hours. This provides strong evidence that the intraday pattern in volatility is caused by market closure. Unlike US futures exchanges, price reporters on the floor of the Hong Kong Futures Exchange collect quote data in addition to trade data. This data facilitates a test of another plausible microstructure explanation for the observed behaviour–bid–ask bounce associated with trading activity. This paper provides evidence that bid–ask bounce also explains part of the observed intraday behaviour in price volatility.     

The relationship between bid–ask spreads and holding periods: The case of Chinese A and B shares

The Chinese stock markets for A (domestic) shares and B (foreign) shares were completely separated. This study examines the relationship between spreads and holding periods across these segmented markets on the same set of firms. Our major findings are as follows. (1) There is a positive relationship between holding periods and bid–ask spreads in the Chinese stock market. (2) Investors' sensitivity toward liquidity is approximately the same in the A and B share markets, even though bid–ask spreads are substantially different across the two markets. These results provide strong support for the theoretical argument of Amihud and Mendelson [Amihud, Y., & Mendelson, H. (1986). Asset pricing and the bid–ask spread. Journal of Financial Economics, 17, 223–249.] that stocks with higher spreads tend to be held by long-term investors. Evidence also suggests that liquidity has a role in explaining the B share discount, although the results are less than conclusive.     

The relationship between bid–ask spreads and holding periods: The case of Chinese A and B shares

The Chinese stock markets for A (domestic) shares and B (foreign) shares were completely separated. This study examines the relationship between spreads and holding periods across these segmented markets on the same set of firms. Our major findings are as follows. (1) There is a positive relationship between holding periods and bid–ask spreads in the Chinese stock market. (2) Investors' sensitivity toward liquidity is approximately the same in the A and B share markets, even though bid–ask spreads are substantially different across the two markets. These results provide strong support for the theoretical argument of Amihud and Mendelson [Amihud, Y., & Mendelson, H. (1986). Asset pricing and the bid–ask spread. Journal of Financial Economics, 17, 223–249.] that stocks with higher spreads tend to be held by long-term investors. Evidence also suggests that liquidity has a role in explaining the B share discount, although the results are less than conclusive.     

Institutional determinants of bid–ask spreads in Caribbean offshore stock exchanges

My study contrasts the influence of firm level adoption of shareholder value governance against that of formal institutional quality on listed firm’s bid ask spread in a unique sample of eight Caribbean offshore stock exchanges. Using panel data from 146 listed firms from 2004 to 2017 my findings reveal the importance of Worldwide Governance Indicator dimensions of corruption control and regulatory quality in explaining firm’s bid ask spreads. Furthermore, formal institutional quality is consistently statistically superior in explaining firm’s bid ask spreads than firm level governance adoption. My findings emphasise the importance in considering political economy in offshore financial markets.     

The impact of a new term auction facility on Libor–OIS spreads and volatility transmission between money and mortgage markets during the subprime crisis

During the subprime crisis, the U.S. Federal Reserve was concerned about widening spreads between overnight interbank lending rates such as the overnight index swap (OIS) and term London Interbank Offer Rate (Libor). Among the tools it used to counter the impact of the crisis, the innovative term auction facility (TAF) attracted much attention. We investigate the impact of the TAF on the Libor–OIS spread. We find that the TAF has clear initial and sustained expectation effects on the three-month Libor–OIS spread, but no real initial or short-term funding effects, which casts doubt on the usefulness of the TAF in reducing risk spreads. Since the subprime crisis also spilled across the interbank, commercial paper, and jumbo mortgage markets, we further examine the lead–lag relation between Libor–OIS, commercial paper, and jumbo spreads and the volatility transmission effects between them. For the period before the crisis, we find that the three markets behave largely independently. For the subprime crisis period, however, we find multidirectional lead–lag relations and one-way volatility transmission between these markets.     

An empirical comparison of quoted and implied bid–ask spreads on futures contracts

This paper investigates the performance of a range of alternative measures of quoted and implied bid–ask spreads on futures contracts, using a complete record of all quotes and trades. Accurate calibration of bid–ask spreads is important for many applications, including tests of market efficiency and assessment of market microstructure models. The results show that the transactions based spread measures are biased estimates of quoted and effective spreads, which illustrates the need for considered implementation of such measures. Similar intraday behaviour is shown by the different measures, with wide spreads at the open and narrow spreads at the close under a competing market maker environment.     

Is idiosyncratic volatility priced in cryptocurrency markets?

This paper investigates how idiosyncratic volatility is priced in the cross-section of cryptocurrency returns. By conducting both portfolio-level analysis and Fama-MacBeth regression analysis, we demonstrate that idiosyncratic volatility is positively related to the expected returns of cryptocurrencies. This finding is not subsumed by effects of size, momentum, liquidity, volume, and price and is robust to different weighting schemes, holding periods, and sample sizes. Besides, we find no evidence of temporal relation between idiosyncratic volatility and returns in cryptocurrency markets.     

The lead–lag relationship between the spot and futures markets in China

Based on daily and one-minute high-frequency returns, this paper examines the lead–lag dependence between the CSI 300 index spot and futures markets from 2010 to 2014. A nonparametric and non-linear method based on the thermal optimal path method is adopted. Empirical results of the daily data indicate that the lead–lag relationship between the two markets is within one day but this relationship is volatile since neither of the two possible situations (the futures leads or lags behind the spot market) takes a dominant place. Our results using the high-frequency data demonstrate that there is a price discovery in the Chinese futures market: the intraday one-minute futures return leads the cash return by 0–5 min regardless of the price trend of the market.     

Structural breaks in volatility spillovers between international financial markets: Contagion or mere interdependence?

This paper conducts an investigation of volatility transmission between stock markets in Hong Kong, Europe and the United States covering the time period from 2000 up to 2011. Using intra-daily data we compute realized volatility time series for the three markets and employ a Heterogeneous Autoregressive Distributed Lag Model as our baseline econometric specification. Motivated by the presence of various crisis events contained in our sample, we detect time-variation and structural breaks in volatility spillovers. Particularly during the financial crisis of 2007, we find effects consistent with the notion of contagion, suggesting strong and sudden increases in the cross-market synchronization of chronologically succeeding volatilities. Investigating the role of mean breaks and conditional heteroskedasticity in the realized volatilities, however, we find the latter to be the main driver of breaks in volatility spillovers. Taking the volatility of realized volatilities into account, we find no evidence of contagion anymore.     

Can happiness predict future volatility in stock markets?

In this paper, we use the Twitter based happiness index as a proxy for investor sentiment in order to examine whether happiness influences future market volatility of country VIX indexes. Our sample includes the major stock markets of the USA, Canada, UK, Germany, France, Netherlands, Switzerland, Japan, China, Hong Kong, India, Brazil, South Korea, and South Africa. Using linear and nonlinear causality tests, we find that Twitter happiness significantly causes the future volatility of the sample countries. The robustness checks show no divergence from our primary findings and provide strong evidence of a nonlinear relationship between investor sentiment and future stock market volatility.     

Is idiosyncratic volatility priced in commodity futures markets?

This article investigates the relationship between expected returns and past idiosyncratic volatility in commodity futures markets. Measuring the idiosyncratic volatility of 27 commodity futures contracts with traditional pricing models that fail to account for backwardation and contango leads to the puzzling finding that idiosyncratic volatility is significantly negatively priced cross-sectionally. However, idiosyncratic volatility is not priced when the phases of backwardation and contango are suitably factored in the pricing model. A time-series portfolio analysis similarly suggests that failing to recognize the fundamental risk associated with the inexorable phases of backwardation and contango leads to overstated profitability of the idiosyncratic volatility mimicking portfolios.     

Enter the dragon: Interactions between Chinese,US and Asia-Pacific equity markets, 1995–2010

This paper applies a variety of short-run and long-run time series techniques to data on a broad group of Asia-Pacific stock markets and the United States extending to 2010. Our empirical work confirms the importance of crises in affecting the persistence of equity returns in the Asia-Pacific region and offers some support for contagion effects. Post-Asian financial crisis quantile regressions yield substantial evidence of long-run linkages between the Shanghai market, the US market and many regional exchanges. Cointegration is particularly prevalent at the higher end of the distribution. Our results suggest that the enormous growth of the Shanghai market in the new millennium has been accompanied by a meaningful level of integration with other regional and world markets in spite of ongoing capital controls.     

Does the weather have impacts on returns and trading activities in order-driven stock markets? Evidence from China

We study the association between weather-related mood factors and stock index returns in an order-driven market, the Shanghai Stock Exchange (SSE) of China. Our results indicate that asset returns are unaffected by changes in mood introduced by factors including the weather and the onset and recovery from SAD. In contrast, many of these variables are strongly correlated with a reduction in market turnover and liquidity, consistent with investor mood driving variations in market activity. Overall, we show that in an order-driven market, environmental impacts on sentiment are likely to affect trading activities, but not returns.     

National culture,population age,and other country factors in volume–price volatility relationship

This research investigates the relationship between market-wide trading activity and price volatility in 36 countries for the sample years of 1996 to 2012. Based on the concept of noise trading, we expect the volume–volatility relation to be stronger in countries with higher degrees of individualism and masculinity, lower degrees of power distance, younger populations, less-developed markets, and lower transparency. Empirical results largely support our expectations concerning national culture and population age. As for the extent of market development and transparency, however, the supporting evidence is fairly weak.     

U.S. takeovers in foreign markets: Do they impact emerging and developed markets differently?

We investigate the effect that U.S. acquisitions of targets in emerging and developed countries have on the targets' rivals by measuring their stock price reaction to the acquisition announcement. On average, emerging market rivals react positively to these acquisitions while the reaction in developed markets is insignificant. In developed markets, the main factors explaining the reaction of rival firms are individual rival characteristics such as rival size, efficiency, growth opportunities, and leverage. In contrast, in emerging markets, country, industry, and acquisition characteristics such as economic development, shareholder protection, and the target's public status, industry, and percent acquired, play a more important role.