Empirical market microstructure: An analysis of the BRL/US$ exchange rate market

This article provides an analysis of empirical microstructure for the BRL/US$ exchange rate market using high-frequency bid and ask quote data. The aims of the article are to verify the importance of the presence of asymmetric information in price dynamics, to build a model for the price discovery process and to analyze the empirical determinants of the spread between bid and ask through a conditional model that captures an asymmetric response to the spread regarding past information. The asymmetric information hypothesis is tested through a nonparametric test of conditional independence for the Markov property. A model for price discovery is built using a vector error correction between bid and ask, controlling for duration and volatility. As a result of this vector, we build an equilibrium spread deviation series, and we show that the conditional distribution of equilibrium spread deviations responds asymmetrically to the spread changes and expected conditional volatilities and durations. This is made by using the quantilogram and a quantile autoregression as tools for modeling the asymmetry effects. We relate the findings to some facts presented in the theoretical literature on market microstructure.     

中美玉米期货市场功能效率比较

价格发现与套期保值是期货市场的基本功能,能够反映期货市场的运行效率。通过对比中美贸易摩擦前后期货市场的价格发现和套期保值功能,分析中美玉米期货市场效率间的差距,探究我国玉米期货市场运行效率低的原因。利用格兰杰(Granger)因果分析、协整检验、分位信息份额模型、套期保值比率及绩效分析方法,定量对中美两国2013—2019年玉米期货及现货的数据进行分析,结果表明,中国玉米期货市场存在较强的价格发现功能,但套期保值绩效不佳。使用前沿分位信息份额模型和滚动格兰杰因果法分析中美两国期现货市场动态关系的区别,发现中国仅存期货市场对现货市场的单向引导,而美国在中美贸易摩擦前表现为玉米期现货市场具有相近的引导能力,套期保值效率较高,中美贸易摩擦增强了其现货市场对期货市场的引导能力,降低了期货市场运行效率。从期现货市场双向引导关系视角来看,中国玉米期货市场效率低的原因主要是现货市场的信息不完全、发展不完善,期现货市场缺少长期稳定的双向引导关系抑制了期货市场功能发挥。中国应全面加强期货市场建设,提升期货市场定价效率,推动农产品期货市场快速健康发展。     

Price discovery and investor structure in stock index futures

Previous literature on price discovery in stock index futures and spot markets neglects the role of different investor groups. This study relates time‐varying spot‐futures linkages studied within a VECM‐DCC‐GARCH framework to changes in the investor structure of the futures market over time. Empirical results suggest that during the dominance of presumably uninformed private investors, the futures market does not contribute to price discovery. By contrast, there is evidence of information flows from futures to spot markets and a significant increase in conditional correlation between both markets as institutional investors' share in trading volume increases. We derive implications for the design of emerging futures markets. © 2010 Wiley Periodicals, Inc. Jrl Fut Mark31:282–306, 2011     

Do small traders contribute to price discovery? Evidence from the Hong Kong Hang Seng Index markets

Using one‐contract‐size trades in the Mini Hang Seng Index futures to proxy the activities of small traders, this study empirically investigates the information contribution of small futures traders to price discovery on the Hang Seng Index (HSI) markets. Estimated with the models of Gonzalo, J., and Granger, C. W. J. ( 1995 ) and Hasbrouck, J. ( 1995 ), the results show that small traders contribute about 16.8% to price discovery, a disproportionately high share considering their relatively low trading volume. The results also indicate that the Hang Seng Index futures (HSIF) market still has the largest information share (about 71.0%), whereas the HSI spot market has a 12.2% share. Our results suggest that small traders are not uninformed in the HSIF markets, and play an important role in price discovery. © 2009 Wiley Periodicals, Inc. Jrl Fut Mark 30:156–174, 2010     

The contribution of a satellite market to price discovery: Evidence from the Singapore exchange

The Singapore Exchange (SGX), a small satellite market, successfully competes with a large home market, the Osaka Securities Exchange (OSE), in trading the Nikkei 225 futures index. In this paper, we investigate the contribution of the SGX to price discovery and shed light on the reasons for its continued success. Evidence is provided from information revelation and price discovery of three competing but informationally linked markets of the Nikkei 225 index—domestic spot (Tokyo Stock Exchange), domestic futures (OSE), and foreign futures (SGX), which represents the satellite market. Overall, the futures market contributes 77% to price discovery, with the satellite market contributing 42% of the futures and 33% of the total price discovery. These figures, surprisingly, far exceed the satellite market's share of trading volume. Support is provided for the extended trading hours on the SGX for three of the four non‐overlapping trading sub‐periods. © 2004 Wiley Periodicals, Inc. Jrl Fut Mark 24:981–1004, 2004     

Reversing the lead,or a series of unfortunate events? NYMEX,ICE, and Amaranth

A number of studies compare the efficiency and transparency of floor trading with automated/electronic trading systems in the competition for order flow. Although most of these studies find that electronic systems lead price discovery, a few studies highlight the weaknesses of electronic trading in highly volatile market conditions. A series of unusual events in 2006, sparking extreme volatility in natural gas futures trading, provide an ideal setting to revisit the resilience of trading system price leadership in the face of high volatility. We estimate time‐varying Hasbrouck‐style information shares to investigate the intertemporal and cross‐sectional dynamics in price discovery. The results strongly suggest that the information share is time‐dependent and contract‐dependent. Floor trading dominates price discovery in the less liquid longer‐maturity contracts, whereas electronic trading dominates price discovery in the most liquid spot‐month contract. We find that the floor trading information share increases significantly with realized volatility. © 2009 Wiley Periodicals, Inc. Jrl Fut Mark 29:1130–1160, 2009     

Has the introduction of S&P 500 ETF options led to improvements in price discovery of SPDRs?

This study sets out to investigate trading in Standard and Poor's Depository Receipt Trust Series I (SPDR) options and the impact on the price‐discovery process of SPDRs. The empirical results reveal a significant rise in liquidity within the SPDR market following the introduction of SPDR options. Furthermore, the results also show that the introduction of SPDR options has led to a significant improvement in the information share of SPDRs, and that the contribution of SPDRs to price discovery has become very close to that of E‐mini index futures. These findings imply that developments in the derivatives market can lead to improvements in market quality, including the level of liquidity and price discovery of the underlying securities. © 2011 Wiley Periodicals, Inc. Jrl Fut Mark 32:683–711, 2012     

Price Discovery in Interrelated Markets

In this study, we generalize the information share (IS) proposed by Hasbrouck (1995) and extended by Lien and Shrestha (2009). The new generalized information share (GIS) can be used to analyze the price discovery process in interrelated securities markets, whereas the previous two measures can only be applied to almost identical markets. Thus, using the GIS, we can analyze broader markets thereby improving our understanding of the price discovery process as well as the efficiency of securities markets. As an empirical demonstration of the proposed method, we apply the GIS to credit default swap (CDS) and bond markets, and find that for the majority of cases price discovery mostly takes place in the CDS markets. © 2012 Wiley Periodicals, Inc. Jrl Fut Mark 34:203–219, 2014     

Price discovery in the treasury futures market

The paper conducts a regression analysis utilizing both futures and cash market prices and net orderflow to determine where price discovery takes place as well as the forces at play that influence the location. Specifically, given the strong theoretical linkage between the U.S. Treasury cash and futures markets, they compare how orderflow contributes to price discovery and analyze how and when information flows from one market to the other. How a number of environmental variables (trader type, financing rates, and liquidity) impact the information flows between these two markets is also considered. Their findings provide new evidence on the extent to which price discovery happens away from a primary market. © 2007 Wiley Periodicals, Inc. Jrl Fut Mark 27: 1021–1051, 2007     

Information share and its predictability in the Indian stock market

The study investigates price discovery in the Indian stock market and finds that spot market plays a dominating role in price discovery when it is estimated for the entire period as a whole. However, periodic measures of price discovery suggest that it does not remain the same throughout the period, but varies with time. Panel data analysis also indicates that spot market is more efficient in price discovery for majority of size and sector panels. Finally, while market state-related variables are found to impact information shares in a majority of the cases, macroeconomic announcements rarely predict the price discovery.     

When stock futures dominate price discovery

This paper revisits the role of leverage in price discovery, using one of the most liquid single-stock futures (SSFs) markets in the world. Price discovery is analysed as a dynamic intraday process. We find that the information share of the SSFs is 55% during news arrivals. It increases to 61%, when the news is negative and the futures is preferred because of short-sales restrictions on the spot. A partial equilibrium analysis predicts that the trade-off between leverage and market liquidity determines price discovery across securities. These predictions are validated by empirical evidence.     

Price discovery among SSE 50 Index-based spot,futures, and options markets

This paper studies the contribution of newly launched SSE 50 Index-based options and futures to price discovery. We find that the derivatives markets quickly begin exhibiting price leadership over the corresponding spot market, despite their short history; the information share from both derivatives markets rose from 59.84% in mid-2015 to 84.6% in mid-2017. Using substantial regulation changes during the sample period, we test the trading cost hypothesis. The increases in derivatives transaction costs do not immediately impede their roles in price discovery. Findings suggest that in nascent and immature markets, investors’ trading experience matters more than trading costs.     

A study on the attributes involved in the hedonic pricing of Brazilian clothing

The objective of this study is to identify the weighted importance of intrinsic and extrinsic attributes. Intrinsic attributes are defined as the specific features of products. Extrinsic attributes refer to other characteristics that are also important for price composition, such as brand, store layout and services, and purchasing experiences. In a survey with 1,923 collected responses, it was possible to identify and quantify intrinsic and extrinsic influencing factors beyond price strategy in the Brazilian fashion market for blue jeans. The statistical analysis was based on the hedonic price method. The idea of expressing the price based on a series of intrinsic and extrinsic variables avoids the problem of using the regression technique. In this research, multiple linear regression and quantile regression were applied. The results show that extrinsic attributes have greater influence than intrinsic features on explaining the final market prices using log-linear and quantile regression statistical methods.     

Decimalization,trading costs,and information transmission between ETFs and index futures

The impact of changes in trading costs, due to decimalization, on informed trading and speed of information transmission between exchange‐traded funds (ETFs) and their corresponding index futures is examined. ETFs began to trade in decimals on January 29, 2001, and index futures continued to trade in their original tick sizes. The focus is on whether the decrease in the minimum tick size of ETFs influences the relative performances of these two types of index instruments in the price‐discovery process. It is found that for ETFs, the trading activity increases, but the market depth drops significantly after decimalization. The spreads for ETFs generally decrease, but the adverse selection component of ETF spreads increases. Furthermore, after decimalization, ETFs start to lead index futures in the price‐discovery process and its share of information also increases. Although index futures still assume a dominant role in information discovery, the information content of the ETFs' prices improves significantly after decimalization. © 2006 Wiley Periodicals, Inc. Jrl Fut Mark 26:131–151, 2006     

Beyond mean estimates of price and promotional effects in scanner-panel sales–response regression

Traditional mean estimates of conditional sales given price and promotion variables may provide misleading guidance about the underlying market mechanisms, since high, low, and medium sales, respectively, may be generated by quite different price and promotion strategies. Empirical evidence for consumer good scanner data reveals nonlinearities and heteroskedasticity in the sales–response relationship—mean effects typically average and hence may obscure a potentially rich nature of observational data. Besides addressing the heterogeneity of price and promotional effects, the proposed quantile regression framework allows direct estimation of monotonicity restricted nonlinear pricing effects for quantiles of the sales distribution.     

A new information share measure

In this study, we modify the information share (IS) originally proposed by Hasbrouck, J. (1995). The proposed modified information share (MIS) leads to a unique measure of price discovery instead of the upper and lower IS bounds. Performance of MIS is compared with the Hasbrouck IS measure and the Gonzalo–Granger permanent–transitory decomposition (PT/GG)‐based measure using simulations with 1,000 replications applied to the same three examples considered by Hasbrouck, J. (2002). The MIS is found to outperform both Hasbrouck IS measure and PT/GG measure. The empirical application of the MIS to three major stock indices indicates that price discovery takes place mostly in the futures market. Hence, the evidence supports the transaction cost hypothesis as well as the model proposed by Garbade, K. D., and Silber, W. L. (1983). © 2009 Wiley Periodicals, Inc. Jrl Fut Mark 29:377–395, 2009     

Price discovery in the hang seng index markets: Index,futures, and the tracker fund

In this paper, price discovery among the Hang Seng Index markets is investigated using the Hasbrouck and Gonzalo and Granger common‐factor models and the multivariate generalized autoregressive conditional heteroskedasticity (M‐GARCH) model. Minute‐by‐minute data from the Hang Seng Index, Hang Seng Index futures, and the tracker fund show that the movements of the three markets are interrelated. The futures markets contain the most information, followed by the spot market. The tracker fund does not contribute to the price discovery process. The three markets exhibit spillover effects, indicating that their second moments are linked, even though the flow of information from the tracker fund to the other markets is minimal. Overall results suggest that the three markets have different degrees of information processing abilities, although they are governed by the same set of macroeconomic fundamentals. © 2004 Wiley Periodicals, Inc. Jrl Fut Mark 24:887–907, 2004     

Dynamic return predictability in the Russian stock market

This paper explores whether the relevance of a conditional multifactor model and autocorrelation in predicting the Russian aggregate stock return fluctuates over time. The source of return predictability is shown to vary considerably with information flow. In general, predictability of the Russian stock market return is at a high level. Autocorrelation increases during periods of low information flow. During periods of high information, conditional exposure to the local market risk and changes in oil price influence the expected return on the Russian stock market. The lagged global stock market factor and currency returns have insignificant influence.     

The determinants of price discovery on bitcoin markets

This paper investigates whether market quality, uncertainty, investor sentiment and attention, and macroeconomic news affect bitcoin price discovery in spot and futures markets. Over the period December 2017–March 2019, we find significant time variation in the contribution to price discovery of the two markets. Increases in price discovery are mainly driven by relative trading costs and volume, and uncertainty to a lesser extent. Additionally, medium-sized trades contain most information in terms of price discovery. Finally, higher news-based bitcoin sentiment increases the informational role of the futures market, while attention and macroeconomic news have no impact on price discovery.     

Causality in the VIX futures market

This study examines the price‐discovery function and information efficiency of a fast growing volatility futures market: the Chicago Board of Option Exchange VIX futures market. A linear Engle–Granger cointegration test with an error correction mechanism (ECM) shows that during the full sample period, VIX futures prices lead spot VIX index, which implies that the VIX futures market has some price‐discovery function. But a modified Baek and Brock nonlinear Granger test detects bi‐directional causality between VIX and VIX futures prices, suggesting that both spot and futures prices react simultaneously to new information. Quarter‐by‐quarter investigations show that, on average, the estimated parameters are not significantly different from zero, thus providing further evidence supporting information efficiency in the VIX futures market. © 2011 Wiley Periodicals, Inc. Jrl Fut Mark