Liquidity of the CBOE Equity Options

We examine the CBOE option market depth and bid-ask spreads. Absence of price effects surrounding large option trades suggests excellent market depth. However, bid-ask spreads for the CBOE options and the NYSE stocks are nearly equal, even though an average option is equivalent to less than half a stock plus borrowing. We explain this tradeoff between market depth and bid-ask spreads on the CBOE and the NYSE by differences in market mechanisms. We also show that the adverse-selection component of the option spread, which measures the extent of information-related trading on the CBOE, is very small.     

Making a Market with Spreads and Depths

Abstract:   In this paper we study the quote revision behavior of NASDAQ market makers by analyzing inter‐temporal changes in their spread and depth quotes. Using individual dealer quote and trade data for a sample of 2,319 stocks, we find that NASDAQ dealers make more frequent revisions in depths than in spreads and the extent of liquidity management is greater for stocks of smaller companies, lower‐priced stocks, and stocks with larger trade sizes and fewer number of transactions. We show that intraday variation in the number of quote revisions follows the U‐shaped pattern, indicating that the extent of liquidity management is greater during the early and late hours of trading than during midday.     

Tick size,market structure,and market quality

Large tick sizes imposed on high-priced stocks on the Korea Stock Exchange (KSE) are significant binding constraints on bid-ask spreads. Nearly 60% of quoted spreads are equal to the tick size for stocks with the largest tick size and more than 87% of quoted spreads are equal to the tick size for stocks in the largest size portfolio. We also show that the average spread of KSE stocks with large tick sizes is greater than that of matched NYSE stocks, whereas the average spread of KSE stocks with the smallest tick size is smaller than the corresponding figure for the matched NYSE stocks. We interpret these results as evidence that traders on the KSE are paying large trading costs because of the artificially imposed large tick sizes.     

TRADING COSTS AND QUOTE CLUSTERING ON THE NYSE AND NASDAQ AFTER DECIMALIZATION

We examine execution costs and quote clustering on the New York Stock Exchange (NYSE) and NASDAQ using 517 matching pairs of stocks after decimalization. We find that the mean spread of NASDAQ stocks is greater than the mean spread of NYSE stocks when spreads are equally weighted across stocks, and the difference is greater for smaller stocks. In contrast, the mean NASDAQ spread is narrower than the mean NYSE spread when spreads are volume weighted, and the difference is statistically significant for large stocks. Both NYSE and NASDAQ stocks exhibit high degrees of quote clustering on nickels and dimes, and quote clustering has a significant effect on spreads in both markets.     

Trading Costs and Exchange Delisting: The Case of Firms that Voluntarily Move from the American Stock Exchange to the Nasdaq

We examine 47 stocks that voluntarily left the American Stock Exchange from 1992 through 1995 and listed on the Nasdaq. We find that both effective and quoted spreads increase by about 100 percent after listing on the Nasdaq. These spread changes are consistent across stocks. In contrast, excess returns are positive when firms announce a switch from The American Stock Exchange to the Nasdaq. We are unable to explain this apparent contradiction.     

Corporate social responsibility,credit rating,and private debt contracting: new evidence from syndicated loan market

We examine the impact of corporate social responsibility (CSR) activities on loan spreads of syndicated bank loans, with a particular interest in how CSR and credit ratings are interrelated as a joint determinant of loan spreads. Focusing on private debt contracts, we show that both CSR strengths and concerns are related to their loan spreads. CSR strengths work to lower firm risk, hence reducing the loan spread, whereas CSR concerns increase firm risk, thus increasing the loan spread. Once we include detailed credit rating information in the models, however, CSR concerns lose significance, but CSR strengths remain significantly related to the loan spread. We also find that both CSR strengths and CSR concerns are related to loan spread for non-rated firms, but the CSR concern effect is stronger than the CSR strength effect for these firms. A further test shows that firm risk measured by stock return volatility plays as a direct channel through which a firm’s CSR activities affect loan spreads, whose result lends further support to our main results. Overall, our results provide strong evidence that CSR matters to the pricing of loan contracts beyond credit rating information and the results remain robust to the possible firm size effect and the endogeneity issues.     

Insider Trading and the Bid-Ask Spread

This study examines the intertemporal and cross-sectional association between the bid-ask spread and insider trading. Empirical results from the cross-sectional regression analysis reveal that market makers establish larger spreads for stocks with a greater extent of insider trading. The time-series regression analysis, however, finds no evidence of spread changes on insider trading days. These results suggest that although market makers may not be able to detect insider trading when it occurs, they protect themselves by maintaining larger spreads for stocks with a greater tendency of insider trading. The results also reveal that market makers establish larger spreads when there are unusually large transactions. In addition, this study finds that spreads are positively associated with risk and negatively with trading volume, the number of exchange listings, share price, and firm size.     

PRICE AND QUANTITY QUOTES ON NASDAQ: A STUDY OF DEALER QUOTATION BEHAVIOR

We show that the majority of quotes posted by NASDAQ dealers are noncompetitive and only 19.5% (18.4%) of bid (ask) quotes are at the inside. The percentage of dealer quotes that are at the inside is higher for stocks with wider spreads, fewer market makers, and more frequent trading, and lower for stocks with larger trade sizes and higher return volatility. These results support our conjecture that dealers have greater incentives to be at the inside for stocks with larger market‐making revenues and smaller costs. Dealers post large depths when their quotes are at the inside and frequently quote the minimum required depth when they are not at the inside. The latter quotation behavior leads to the negative intertemporal correlation between dealer spread and depth.     

The Impact of Options Trading on the Market Quality of the Underlying Security: An Empirical Analysis

We find that option listings are associated with a decrease in the variance of the pricing error, a decrease in the adverse selection component of the spread, and an increase in the relative weight placed by the specialist on public information in revising prices for the underlying stocks. We also find that there is a decrease in the spread and increases in quoted depth, trading volume, trading frequency, and transaction size after option listings. Overall, our results suggest that option listings improve the market quality of the underlying stocks.     

THE EFFECTS OF DECIMALIZATION ON RETURN VOLATILITY COMPONENTS,SERIAL CORRELATION,AND TRADING COSTS

We examine the composition of return volatility, serial correlation, and trading costs before and after decimalization on the New York Stock Exchange. We decompose the variance of price changes into components associated with public news, rounding errors, and market‐making frictions. We find that when stocks move from a fractional to a decimal trading system, the variance components due to market‐making frictions and rounding errors decline significantly, whereas the component due to public news remains unchanged. The serial correlation of price changes weakens substantially after decimalization. The uninformed component of bid‐ask spreads decreases significantly whereas the informed component has no significant change.     

Analysis of REIT IPOs Using a Market Microstructure Approach: Anomalous Behavior or Asset Structure

In this research, we examine and present new evidence on the market activity following the initial public offering (IPO) of a real estate investment trust (REIT) using microstructure data. We analyze the bid-ask spread differences for REIT securities compared to common stocks and closed-end funds for all IPOs between 1985 and 1988. Our results show that REITs, as a whole sample, experience significantly greater bid-ask spreads immediately following the IPO compared to common stocks and funds. However, this outcome is driven by the equity REIT sample, with the mortgage REIT sample having significantly smaller bid-ask spreads. This is in contrast to the evidence documented by Nelling, Mahoney, Hildebrand, and Goldstein (1995). We attribute our result to the underlying asset structure (such as equity, hybrid, and mortgage portfolios) of the various REITs. Overall, however, we find that bid-ask spreads for REITs are similar to those of common stock when both asset structure and the traditional determinants of the spread (share price, trade volume, and returns variance) are considered.     

REITs,Decimalization, and Ex-dividend Stock Prices

The ex-dividend pricing of real estate investment trust (REIT) stocks under fractional and decimal pricing regimes is investigated. For REITs, with the move from discrete to decimal pricing, the price drop on the ex-dividend day approaches the dividend amount, the ex-date abnormal return decreases, the spread-to-dividend ratio declines, abnormal trading volume increases, and the potential erroneous appearance of a tax-clientele effect is diminished. Discreteness and other transaction costs are reduced with decimalization implying that part of the persistence in the appearance of the tax-clientele effect when modeling ex-dividend stock pricing might be generated by the interaction between transaction costs, dividend amount, and yield.      

True Spreads and Equilibrium Prices

Stocks and other financial assets are traded at prices that lie on a fixed grid determined by the minimum tick size. Observed prices and quoted spreads do not correspond to the equilibrium prices and true spreads that would exist in a market with no minimum tick size. Using Monte Carlo Markov Chain methods, this paper estimates the equilibrium prices and true spreads. For large stocks, most of the quoted spread is attributable to the rounding of prices and the adverse selection component is small. The true spread and the adverse selection component are greater for mid-sized stocks.     

Minimum price variations, discrete bid-ask spreads, and quotation sizes

Exchange minimum price variation regulation's create discretebid-ask spreads. If the minimum quotable spread exceeds thespread that otherwise would be quoted, spreads will be wideand the number of shares offered at the bid and ask may be large.A cross-sectional discrete spread model is estimated by usingintraday stock quotation spread frequencies. The results areused to project 1/16 spread usage frequencies given a 1/16-tick.Projected changes in quotation sizes and in trade volumes areobtained from regression models. For stocks priced under 10,the models predict spreads would decrease 38 percent, quotationsizes would decrease 16 percent, and daily volume would increase34 percent.     

Do Price Discreteness and Transactions Costs Affect Stock Returns? Comparing Ex‐Dividend Pricing before and after Decimalization

By the end of January 2001, all NYSE stocks had converted their price quotations from 1/8s and 1/16s to decimals. This study examines the effect of this change in price quotations on ex‐dividend day activity. We find that abnormal ex‐dividend day returns increase in the 1/16 and decimal pricing eras, relative to the 1/8 era, which is inconsistent with microstructure explanations of ex‐day price movements. We also find that abnormal returns increase in conjunction with a May 1997 reduction in the capital gains tax rate, as they should if relative taxation of dividends and capital gains affects ex‐day pricing.     

Market structure and bid-ask spreads: IBIS vs Nasdaq

A comparison is made between the bid-ask spreads of 30 high volume German stocks traded on IBIS and 30 high volume US stocks traded on Nasdaq. IBIS and Nasdaq are best described as agency and dealer auction markets, respectively. On average, the market spread for these IBIS and Nasdaq stocks is the same, but for the 10 most active stocks in each market, IBIS spreads are considerably lower. For these latter stocks, IBIS spreads change in a predictable manner throughout the day. Nasdaq spreads do not. The critical factor appears to be the unrestricted access of suppliers of immediacy that is distinctive for agency auction markets.     

Impacts of trades in an error-correction model of quote prices

In this paper we analyze and interpret the quote price dynamics of 100 NYSE stocks stratified by trade frequency. We specify an error-correction model for the log difference of the bid and the ask price with the spread acting as the error-correction term, and include as regressors the characteristics of the trades occurring between quote observations, if any. From this model we are also able to extract the implied model for the spread and the mid-quote. We find that short duration and medium volume trades have the largest impacts on quote prices for all one hundred stocks. Further, we find that buys have a greater impact on the ask price than on the bid price, while sells have a greater impact on the bid price than on the ask price. Both buys and sells increase spreads in the short run, but in the absence of further trades, the spreads mean revert. Trades have a greater impact on quotes for the infrequently traded stocks than for the more actively traded stocks.     

Human vs. high-frequency traders,penny jumping,and tick size

This paper examines changes in market quality resulting from the smaller tick size of the interbank foreign exchange market. Coupled with the lower tick size, the special composition of traders and their order placement strategies created a suitable environment for high-frequency traders (HFT’s) to implement sub-penny jumping strategy to front-run human traders. We show that the spread declined following the introduction of decimal pip pricing. However, benefits of spread reduction were mostly absorbed by the HFT’s. Market depths were also significantly reduced with the occupation of the top of the order book by HFT’s. This new environment changed the market maker-market taker composition between different traders and altered price impacts of the order flows.     

What causes mean reversion in corporate bond index spreads? The impact of survival

Previous studies document that the spread between the yield on commonly used corporate bond indexes (e.g., Moody’s Baa index) and a comparable maturity treasury bond exhibits mean reversion. An analytical model shows that a part of the observed negative relationship between changes in the spread and the level of spreads is a natural consequence of ratings based classification of bonds included in the index and the related effects of survival. Using data on individual corporate bonds over the period January 1985 to December 1996, I corroborate the analysis and illustrate the effects of survival. The result has several implications for parametric specifications of spread dynamics in the pricing of contingent claims, for the application of spreads in tests of asset pricing models (such as the conditional version of the CAPM) and for the use of spreads in business cycle forecasts.     

The Allocation of Informed Trading Across Related Markets: An Analysis of the Impact of Changes in Equity-Option Margin Requirements

We examine the impact of changes in equity-option margin requirements on the liquidity of options and underlying stock markets. We find that the decrease in margin was associated with an increase in spreads and trade informativeness, and a decrease in depth for the underlying stocks. In contrast, option spreads decreased indicating a change in the relative allocation of informed traders between the two markets. When the required margin was increased, no significant change was observed in the underlying stocks, but option spreads increased. Overall, our results indicate that uninformed traders are more sensitive to the margin dimension of trading costs.