Order imbalance and the pricing of index futures

This study examines whether the aggregate order imbalance for index stocks can explain the arbitrage spread between index futures and the underlying cash index. The study covers the period of the Asian financial crisis and includes wide variations in order imbalance and the indexfutures basis. The analysis controls for realistic trading costs and actual dividend payments. The results indicate that the arbitrage spread is positively related to the aggregate order imbalance in the underlying index stocks; negative order‐imbalance has a stronger impact than positive order imbalance. Violations of the upper no‐arbitrage bound are related to positive order imbalance; of the lower no‐arbitrage bound to negative order imbalance. Asymmetric response times to negative and positive spreads can be attributed to the difficulty, cost, and risk of short stock arbitrage when the futures are below their no‐arbitrage value. The significant relationship between order imbalance and arbitrage spread confirms that index arbitrageurs are important providers of liquidity in the futures market when the stock market is in disequilibrium. © 2007 Wiley Periodicals, Inc. Jrl Fut Mark 27:697–717, 2007     

Risk management with options and futures under liquidity risk

Futures hedging creates liquidity risk through marking to market. Liquidity risk matters if interim losses on a futures position have to be financed at a markup over the risk‐free rate. This study analyzes the optimal risk management and production decisions of a firm facing joint price and liquidity risk. It provides a rationale for the use of options on futures in imperfect capital markets. If liquidity risk materializes, the firm sells options on futures in order to partly cover this liquidity need. It is shown that liquidity risk reduces the optimal hedge ratio and that options are not normally used before a liquidity need actually arises. © 2009 Wiley Periodicals, Inc. Jrl Fut Mark 29:297–318, 2009     

OPTIMAL TRADE EXECUTION AND PRICE MANIPULATION IN ORDER BOOKS WITH TIME‐VARYING LIQUIDITY

In financial markets, liquidity is not constant over time but exhibits strong seasonal patterns. In this paper, we consider a limit order book model that allows for time‐dependent, deterministic depth and resilience of the book and determine optimal portfolio liquidation strategies. In a first model variant, we propose a trading‐dependent spread that increases when market orders are matched against the order book. In this model, no price manipulation occurs and the optimal strategy is of the wait region/buy region type often encountered in singular control problems. In a second model, we assume that there is no spread in the order book. Under this assumption, we find that price manipulation can occur, depending on the model parameters. Even in the absence of classical price manipulation, there may be transaction triggered price manipulation. In specific cases, we can state the optimal strategy in closed form.     

Foreign Ownership Restriction and Momentum – Evidence from Emerging Markets

This study investigates the impact of foreign investors on stock price efficiency and return predictability in emerging markets. It finds that stocks fully investible for foreign investors exhibit stronger price momentum than non‐investible stocks. The difference in momentum effects between stocks with different levels of investibility cannot be fully explained by world market risk, size, turnover, or country‐specific factors. Further tests show that fully investible stocks have no post‐earnings‐announcement drift (PEAD), and their short‐term momentum reverses over a longer horizon. These results show that the stronger momentum of highly investible stocks does not appear to be driven by foreign investors' underreaction to firm‐specific information, but is more likely to be generated by their positive feedback trading.     

Adverse selection costs: A study on the Chinese stock market

Employing a bid-ask spread model applicable for order-driven market, this paper decomposes the bid-ask spread of Shanghai Stock Exchange (SSE) into adverse selection and order processing cost components to investigate the relationship between the components of bid-ask spread and order size. It examines the impacts of firm size, price, trading activeness, and volatility on adverse selection cost, and explores the intraday pattern of adverse selection costs and informative trading. Results show that adverse selection costs increase with trade scale. However, order processing costs do not exhibit the economies of scale. Stocks of large firms, which are high-priced and actively traded, have relatively low adverse selection costs; stocks with large volatility have relatively high adverse selection costs. Moreover, this paper finds that the adverse selection component of bid-ask spread in the Chinese stock market exhibits an L-shaped intraday pattern, which implies that heavy trading around market opening is dominated by informative trading, while heavy trading near market closing is dominated by liquidity trading.     

中国股票市场交易成本的估计

采用上证180指数成分股票的分笔交易数据,分析估计了反映中国股票市场交易成本的报价价差、有效价差和交易价差,并对它们进行了比较和相关分析。实证结果表明,我国股票市场的总交易成本约为0.25%,除指令处理成分外,还有其他的交易成本成分,而且它们会随时间的变化而增加。交易成本不仅表现出共同变动的趋势,而且还与股票的特征有关。     

Updating the estimation of the supply of storage

An updated supply of storage is estimated to reflect recent developments in the literature. This study adds a measure of price variability, specifically implied volatility. It also adds a measure of the call‐option value to sell stocks before the end of the storage period, specifically a measure developed by Heaney (2002). The model is estimated for U.S. soybean stocks carried between crop years. A quadratic relationship is found between stocks to use ratio and implied volatility. A statistically significant, inverse, linear relationship is found between the storage‐cost–adjusted spread and the estimated call‐option value. This finding is consistent with the much debated idea that convenience yield is a return to storage that can offset losses from storage when intertemporal price spreads are negative. © 2006 Wiley Periodicals, Inc. Jrl Fut Mark 26:657–676, 2006     

Do single‐stock circuit breakers provide a safety net for Canadian investors?

This study looks at the market impact of recent regulatory changes in Canada that provide for trading halts on individual stocks that experience large upside or downside movements. The focus is on all stocks traded on the Toronto Stock Exchange since the inception of the single‐stock circuit breaker rule (SSCB) in February 2012, to replace the short‐sale uptick rule. The results support pricing efficiency: material information that caused the circuit breaker is incorporated in stock prices on the day of the halt (neither overreaction nor underreaction), with no decline in market liquidity. Using trade‐by‐trade data constructed on five‐minute trading intervals, we refine the daily results, and show that shocks in realized volatility are focused in the 10‐minute trading interval surrounding the halts. While circuit breakers provide a limited safety net for investors when their stocks are subject to severe volatility, they do not allow for a quick turnaround for stocks experiencing severe price decline events.     

Do brokers act in the best interests of their clients? New evidence from electronic trading systems

Prior research suggests brokers do not always act in the best interests of clients, although morally obligated to do so. We empirically investigated this issue focusing on trades executed at best execution price, before and after the introduction of electronic limit‐order trading, on the London Stock Exchange. As a result of limit‐order trading, the proportion of trades executed at the best execution price for the customer significantly increased. We attribute this to a sustained increase in the liquidity of stocks as a result of limit‐order trading, regardless of market capitalisation. We discuss the ethical implications of our findings and conclude that market structures that enhance market competitiveness may help reconcile broker and client interests.     

Expiration‐day effects on individual stocks and the overall market: Evidence from Taiwan

On expiration days of the MSCI‐TW index futures, the Taiwan spot market is associated with abnormally large volume and high index volatility, along with mild index reversal. The effects concentrate only in the last five minutes of expiration days and appear to be strengthened by the adoption a call auction closing procedure by the Taiwan Stock Exchange. Individual index stocks show high volatility and strong tendency of price reversal, with large‐ and small‐cap stocks being affected more than the medium‐sized stocks. The highest‐weighted stocks exhibit excessive volume and volatility, which is disproportionate to the impact on all other index stocks, indicating that the expiration‐day effects may have been amplified by the attempt of price manipulation using large‐cap stocks. © 2009 Wiley Periodicals, Inc. Jrl Fut Mark 29:920–945, 2009     

Call Auction Transparency and Market Liquidity: Evidence from China

This paper uses the natural experiment offered by the Shanghai Stock Exchange to investigate the impact of opening call auction transparency on market liquidity. We find that the dissemination of indicative trade information during the pre‐open call auction session leads to an overall improvement in stock liquidity in the continuous trading session. Bid‐ask spreads narrow in the first trading hour because adverse selection risk fell significantly and there is less price volatility in the continuous market. This effect is greater for actively traded securities than illiquid securities. Our findings are robust for different lengths of sample period, different lengths of trading hours after market open, and stocks that had (and had not) reformed the share split structure during our research period.     

The Intraday Pattern of Information Asymmetry,Spread, and Depth: Evidence from the NYSE

Studies suggest that investment flows, liquidity imbalances, and institutional trading may create intraday trading patterns and opportunities for investors to time their trades to reduce transaction costs. Motivated by these studies, we divide each trading day into 13 half‐hour trading intervals and measure information asymmetry from price changes, trade sizes, and trade directions. We find that information asymmetry starts high in the morning, drops continuously until it reaches a midday low during Interval 7, rises to a midday high during Interval 10, and drops continuously after. In contrast, neither the spread nor the depth exhibit similar midday extreme values. Essentially, we identify a 90‐min window in the afternoon when net valuable information arrives to the market in high frequency while liquidity is stable, and that may be an opportunity for some investors to time their trades. In addition, we show that market makers employ dynamic strategies that change the spread, the depth, or both to manage information asymmetry. This is particularly evident during the last three trading intervals, where the significant drop in information asymmetry is countered primarily by a significant increase in the depth while the spread is almost constant.     

Do Stock Investors Value Corporate Sustainability? Evidence from an Event Study

This paper analyzes the impacts of index inclusions and exclusions on corporate sustainable firms by studying a sample of US stocks that are added to or deleted from the Dow Jones Sustainability World Index over the period 2002?C2008. The impacts are measured in terms of stock return, risk and liquidity. We cannot find any strong evidence that announcement per se has any significant impact on stock return and risk. However, on the day of change, index inclusion (exclusion) stocks experience a significant but temporary increase (decrease) in stock return. Liquidity deteriorates after the announcement day and bounces back significantly near the day of change. Systematic risk shows little change after announce- ments. But, idiosyncratic risk is higher after announcements. The overall results support Harris and Eitan??s (The Journal of Finance 41(4), 815?C829, 1986) price pressure hypothesis, which posits that event announcement does not carry information and any shift in demand (and hence the corresponding price change and liquidity change) is temporary.     

What Influences Trader Choice of Electronic versus Intermediated Execution?

We examine the determinants of US equity trader choice of electronic versus intermediated execution. While traders exhibit a strong overall preference for automation, when the market is less liquid at order submission time, traders seek market maker automated and human order‐matching services more often. Traders' overall tendency to choose intermediaries is highly correlated with their demand for liquidity. Market maker participation rates are higher for more active and larger size traders. Traders who choose intermediaries more often trade more stocks, execute orders quicker, price orders more aggressively, and disperse their trading over longer periods of time. Although US stock intermediaries continue to lose market share, our results highlight the important role these firms can play in an increasingly automated, electronically driven marketplace.     

A generalized theoretical modelling approach for the assessment of economic-capital under asset market liquidity risk constraints

This paper proposes a concrete theoretical foundation and a new modelling framework that attempts to tackle the issue of market/liquidity risk and economic-capital estimation at a portfolio level by combining two mutual asset market/liquidity risk models. In essence, this study extends research literature related to the assessment of the asset market/liquidity risk by providing a generalized theoretical modelling underpinning that handle, from the same perspective, market and liquidity risks jointly and integrate both risks into a portfolio setting without a commensurate increase of statistical postulations. As such, we argue that market and liquidity risk components are correlated in most cases and can be integrated into one single market/liquidity framework that consists of two interrelated sub-components. The first component is attributed to the impact of adverse price movements and is modelled based on the concept of liquidity-adjusted value-at-risk framework, while the second component focuses on the risk of variation in transactions costs due to the bid-ask spreads and it attempts to measure the likelihood that it will cost more than expected to liquidate the asset position. As such, the model comprises a new approach to contemplating the impact of time-varying volatility of the bid-ask spread and its upshot on the overall asset market/liquidity risk. The modelling framework can be constructive for financial service industries in emerging-economies and particularly in reinforcing rational economic-capital allocation in light of the aftermaths of the sub-prime financial crisis.     

Liquidity Considerations in Estimating Implied Volatility

Option markets have significant variation in liquidity across different option series. Illiquidity reduces the informativeness of the price. Price information for illiquid options is more noisy, and thus the implied volatilities (IVs) based on these prices are more noisy. In this study, we propose weighting schemes to estimate IV, which reduce the importance attached to illiquid options. The two indexes using liquidity weights are SVIX, which is a spread‐adjusted volatility index, and TVVIX, which is a traded volume weighted VIX. We find SVIX outperforms TVVIX, the conventional schemes such as the traditional VXO, or vega weights, and volatility elasticity weights. © 2012 Wiley Periodicals, Inc. Jrl Fut Mark 32:714‐742, 2012     

Information Asymmetry and Quarterly Disclosure Decisions by Firms: Evidence From the Tokyo Stock Exchange

This study investigates whether the new quarterly disclosure reporting requirement issued by the Tokyo Stock Exchange was related to the reduction of the degree of private information‐based trade and the liquidity of listed stocks in Japan, or as a reverse causality, helped dichotomize good firms and bad firms as a separating signaling equilibrium. We use the probability of asymmetric information‐based trade (Adjusted PIN) as a measure of information asymmetry and the probability of symmetric order‐flow shock (PSOS) as a measure of market illiquidity. We use a sample of public firms from 2002 to 2007 that chose to either disclose or not disclose quarterly financial reports. We find that the disclosing firms had lower information asymmetry (Adjusted PIN), lower symmetric order‐flow shocks (PSOS), and lower private information‐based trade (PIN). When we conduct further difference‐in‐differences tests, we find that the firms with lower information asymmetry and higher liquidity had a higher tendency to disclose their financial statements and vice versa. Thus, the new disclosure requirement did not necessarily improve the information asymmetry and liquidity of firms, but instead helped good and bad firms form a case for a separating signaling equilibrium.     

Taxes,Order Imbalance and Abnormal Returns around the ex‐Dividend day

A costly arbitrage model, developed for the Australian imputation tax system, shows that stocks paying dividends with a tax credit are likely targets for ex‐dividend arbitrage. We show that order imbalance, based on the direct observation of buyer and seller initiated trades, is a key factor in price movements around the ex‐dividend day. Buying pressure before the ex‐dividend day aimed at capturing the dividend and tax credit leads to an increase in prices that subsequently reverse in the ex‐dividend period. This effect is concentrated in those stocks distributing a tax credit with their dividend payments. The price pressure resulting from order imbalance is substantially higher around the ex‐dividend day relative to the effect observed outside this period. Our results reject the model of Frank and Jagannathan ( 1998 ) that bid‐ask bounce is responsible for the ex‐day premium and provide support for explanations based on taxes, transaction costs, and incomplete price adjustment on the ex‐day.     

Stock Market Liquidity and Firm Value: An Empirical Examination of the Australian Market

We document a positive relation between stock liquidity and firm value. We examine the mechanism through which stock market liquidity enhances firm value by dividing firm value, as measured by Tobin's Q, into three components, namely, operating income to price, leverage, and operating income to assets. Using the switch to broker anonymity as an exogenous shock to market liquidity, we show that the increase in liquidity around the shock leads to an increase in firm value. Our results suggest that higher firm value for more liquid stocks seems to stem from enhanced stock prices rather than from better operating performance.     

Internet Search Intensity and Its Relation with Trading Activity and Stock Returns*

Using Google search volume as a proxy for investor attention, this paper provides evidence on the role attention plays in financial markets. We first show that abnormal Google search volume (ASVI) helps explain cross‐sectional variations in trading activity, even after controlling for its important determinants. Specifically, ASVI is positively related to trading volume, order imbalance and liquidity. When the relation between stock returns and ASVI is examined, we find a strong positive relation in the month after attention shocks and a reversal over a longer holding period. We further conjecture that the attention effect is more pronounced in stocks with higher limits to arbitrage. For this purpose, we construct a limits‐to‐arbitrage index and show that limits to arbitrage play an important role in explaining the attention effect.