Measuring institutional trading costs and the implications for finance research: The case of tick size reductions

Using proprietary institutional trade data, we construct a price impact measure that represents the costs faced by institutional investors. We show that many widely used liquidity measures do not adequately capture institutional trading costs. We then find that institutional trading costs are not dramatically impacted by decimalization, casting doubt on the widely used identification strategy that employs decimalization as an exogenous shock to liquidity, particularly institutional liquidity. Indeed, we find that conclusions from prior research are significantly altered when we measure liquidity using institutional trading data.     

Option trading and individual investor performance

This paper examines the impact of option trading on individual investor performance. The results show that most investors incur substantial losses on their option investments, which are much larger than the losses from equity trading. We attribute the detrimental impact of option trading on investor performance to poor market timing that results from overreaction to past stock market returns. High trading costs further contribute to the poor returns on option investments. Gambling and entertainment appear to be the most important motivations for trading options while hedging motives only play a minor role. We also provide strong evidence of performance persistence among option traders.     

Mutual fund portfolio trading and investor flow

I estimate the extent to which mutual fund portfolio trading of securities is triggered by investor flows into and out of the funds, and find that this liquidity-induced portfolio trading activity is smaller than previously estimated by Edelen (1999). I obtain estimates from a much larger and broader sample of funds than Edelen’s (1999) sample. Portfolio managers of international funds trade a smaller fraction of investor flow than do those of domestic funds. Index funds invest a larger fraction. A funds’ usage of futures contracts does not have a statistically significant effect on how it trades in response to investor flows, but the unpredictability of investor flow weakly affects the trading response to flow.     

Idiosyncratic volatility,option-based measures of informed trading,and investor attention

Review of Derivatives Research - We establish a direct link between sophisticated investors in the option market, private stock market investors, and the idiosyncratic volatility (IVol) puzzle. To...     

Corporate governance, investor protection, and performance in emerging markets

We use recent data on firm-level corporate governance (CG) rankings across 14 emerging markets and find that there is wide variation in firm-level governance in our sample and that the average firm-level governance is lower in countries with weaker legal systems. We explore the determinants of firm-level governance and find that governance is correlated with the extent of the asymmetric information and contracting imperfections that firms face. We also find that better corporate governance is highly correlated with better operating performance and market valuation. Finally, we provide evidence that firm-level corporate governance provisions matter more in countries with weak legal environments.     

Anonymous markets and monetary trading

We study infinite-horizon monetary economies characterized by trading frictions that originate from random pairwise meetings, and commitment and enforcement limitations. We prove that introducing occasional trade in ‘centralized markets’ opens the door to an informal enforcement scheme that sustains a non-monetary efficient allocation. All is required is that trading partners be patient and their actions be observable. We then present a matching environment in which trade may occur in large markets and yet agents’ trading paths cross at most once. This allows the construction of models in which infinitely lived agents trade in competitive markets where money plays an essential role.     

Speculative trading,prospect theory and transaction costs

A speculative agent with prospect theory preference chooses the optimal time to purchase and then to sell an indivisible risky asset to maximise the expected utility of the round-trip profit net of transaction costs. The optimisation problem is formulated as a sequential optimal stopping problem, and we provide a complete characterisation of the solution. Depending on the preference and market parameters, the optimal strategy can be “buy and hold”, “buy low, sell high”, “buy high, sell higher” or “no trading”. Behavioural preference and market friction interact in a subtle way which yields surprising implications on the agent’s trading patterns. For example, increasing the market entry fee does not necessarily curb speculative trading, but instead may induce a higher reference point under which the agent becomes more risk-seeking and in turn is more likely to trade.

     

Informed trading in public debt markets

This study examines the occurrence of informed trading in public debt issued by companies in the United States. I find that earnings surprises are positively associated with bond price changes prior to the release of financial report data to the public, for firms with non‐investment‐grade ratings. Additionally, I find that the effect appears to be driven by firms with publicly traded equity. Evidence further indicates an increase in trading activity during the time window between report period end date and filing date, for firms with larger earnings surprises.     

Order flow, bid-ask spread and trading density in foreign exchange markets

This paper examines the implications of market microstructure for foreign exchange markets. We argue that the usual order flow model needs to be recast in broader terms to incorporate the transaction costs of liquidity and the limitation of price discovery through order flows that involve low trading density currencies. Using a daily data set, we find that order flows are inadequate when it comes to explaining the changes in the low trading density currencies. Alternatively, within the high trading density, both order flows and bid-ask spreads significantly affect the foreign exchange rate returns. Our findings suggest that the order flow model is better at incorporating these microstructure effects except for some currencies with a very high level of trading density.     

Order preferencing, adverse-selection costs, and the probability of information-based trading

Although prior studies offer various conjectures on the causes and consequences of order preferencing, there is only limited empirical evidence. In this study, we show that the extent of order preferencing is significantly and negatively related to both the adverse-selection component of the spread and the probability of information-based trading. This result is consistent with the prediction of the clientele-pricing hypothesis that dealers (brokers) selectively purchase (internalize) orders based on information content. Our results suggest that order preferencing may not be as harmful as some researchers have suggested and offer some rationale for its prevalence in securities markets with heterogeneously informed traders. JEL Classification G18 · G19     

Constant-collateral pyramiding trading strategies in futures markets

This paper introduces constant-collateral pyramiding trading strategies, which can be implemented in the futures markets. For these strategies, expressions are derived for effective constraints on the number of futures contracts in the trader’s portfolio and on the trader’s wealth. Implications of the results are drawn regarding the degree of pyramiding adopted by a subgroup of noise traders who underestimate the probability of receiving a margin call when they engage in positive feedback strategies. Suggestions are made regarding how market regulators can use margin requirements to encourage these traders to adopt less aggressive pyramiding strategies.     

Model-based pairs trading in the bitcoin markets

We propose an optimal dynamic pairs trading strategy model for a portfolio of cointegrated assets. Using stochastic control techniques, we compute analytically the optimal portfolio weights and relate our result to several other strategies commonly used by practitioners, including the static double-threshold strategy. Finally, we apply our model to a bitcoin portfolio and conduct an out-of-sample test with historical data from three exchanges, with two cointegrating relations.     

Predictability of stock markets with disequilibrium trading

This paper analyses the predictability of a hypothetical market with freely negotiated prices on which exists a censoring of one-period returns which are in excess of an arbitrary level (‘floor’ and ‘ceiling’). It is shown that the expected value of returns (adjusted for drift) conditional on last period information regarding the censoring are equal to zero (and therefore the market is not predictable in mean) if there is no intertemporal spillover on the market. A simple simulation model is proposed and applied for the analysis of the effects of intertemporal and cross-spillovers resulting from quantity constraints. Statistical predictability tests are proposed, based on the corrected Student-t statistic of a regression of returns of some information concerning the previous censoring. An illustrative empirical analysis of six main time series of returns on the Warsaw Stock Exchange confirms their ex-ante, but not ex-post, predictability.     

Insider and liquidity trading in stock and options markets

We analyze the introduction of a nonredundant option, whichcompletes the markets, and the effects of this on informationrevelation and risk sharing. The option alters the interactionbetween liquidity and insider trading. We find that the optionmitigates the market breakdown problem created by the combinationof market incompleteness and asymmetric information. The introductionof the option has ambiguous consequences on the informationalefficiency of the market. On the one hand, by avoiding marketbreakdown, it enables trades to occur and convey information.On the other hand, the introduction of the option enlarges theset of trading strategies the insider can follow. This can makeit more difficult for the market makers to interpret the informationcontent of trades and consequently can reduce the informationalefficiency of the market. The introduction of the option alsohas an ambiguous effect on the profitability of insider trades,which can either increase or decrease depending on parametervalues.     

On the distribution and estimation of trading costs

This paper investigates the uncertainty about the trading costs associated with a given portfolio strategy. I derive accurate approximations of the ex ante probability distributions of proportional trading costs and portfolio turnover under the conventional assumption of normal asset returns. Based on these approximations, I express the expected trading costs as a function of asset and portfolio characteristics. All else equal, the expected trading costs increase with: i) the deviations of the expected asset returns from the expected portfolio return, ii) the assets' volatility and iii) the portfolio volatility. At the same time, they decrease with the covariance between the assets and the portfolio. Furthermore, I propose novel estimators of the expected turnover and trading costs and show that they offer small bias and low variance, even when the sample size is small. Finally, I incorporate my results into a portfolio selection framework to produce portfolios with low levels of risk and trading costs. Several experiments with real and simulated data confirm the practical value of the results.     

Market transparency,liquidity externalities,and institutional trading costs in corporate bonds

We develop a simple model of the effect of public transaction reporting on trade execution costs and test it using a sample of institutional trades in corporate bonds, before and after initiation of the TRACE reporting system. Trade execution costs fell approximately 50% for bonds eligible for TRACE transaction reporting, and 20% for bonds not eligible for TRACE reporting, suggesting the presence of a “liquidity externality.” The key results are robust to changes in variables, such as interest rate volatility and trading activity that might also affect execution costs. Market shares and the cost advantage to large dealers decreased post-TRACE. These results indicate that market design can have first-order effects, even for sophisticated institutional customers.     

A behavioural model of investor sentiment in limit order markets

By incorporating behavioural sentiment in a model of a limit order market, we show that behavioural sentiment not only helps to replicate most of the stylized facts in limit order markets simultaneously, but it also plays a unique role in explaining those stylized facts that cannot be explained by noise trading, such as fat tails in the return distribution, long memory in the trading volume, an increasing and non-linear relationship between trade imbalance and mid-price returns, as well as the diagonal effect, or event clustering, in order submission types. The results show that behavioural sentiment is an important driving force behind many of the well-documented stylized facts in limit order markets.     

Stock price synchronicities and speculative trading in emerging markets

The literature suggests that the strong price synchronicity observed in emerging markets is driven by the lack of firm-specific information acquisition. This paper extends previous studies by focusing on the question of whether investors’ speculative trading behavior or market conditions make the synchronicity in emerging markets more pronounced. Our results indicate that the propensity to engage in speculative trades and a low level of linkage with the world market lead to greater stock price synchronicity. These results are consistent with the hypotheses that it is difficult to price firm-level fundamentals in a speculative market where noise trades prevail, and that less weight is attached to firm-specific fundamentals in pricing stocks in a more segmented market. The price synchronicities are largely found to be stronger in bearish markets, a finding consistent with the hypothesis that investors have increased loss aversion during bear markets, which further limits informed arbitrage.     

Technical trading revisited: False discoveries,persistence tests,and transaction costs

We revisit the apparent historical success of technical trading rules on daily prices of the Dow Jones Industrial Average index from 1897 to 2011, and we use the false discovery rate (FDR) as a new approach to data snooping. The advantage of the FDR over existing methods is that it selects more outperforming rules, which allows diversifying against model uncertainty. Persistence tests show that, even with the more powerful FDR technique, an investor would never have been able to select ex ante the future best-performing rules. Moreover, even in-sample, the performance is completely offset by the introduction of low transaction costs. Overall, our results seriously call into question the economic value of technical trading rules that has been reported for early periods.