Using price distributions to estimate search costs

We show how the equilibrium restrictions implied by standard search models can be used to estimate search‐cost distributions using price data alone. We consider both sequential and non‐sequential search strategies, and develop estimation methodologies that exploit equilibrium restrictions to recover estimates of search‐cost heterogeneity that are theoretically consistent with the search models. We illustrate the method using online prices for several economics and statistics textbooks.     

Stock price distributions with stochastic volatility: an analytic approach

We study the stock price distributions that arise when pricesfollow a diffusion process with a stochastically varying volatilityparameters. We use analytic techniques to derive an explicitclosed-form solution for the case when volatility is drivenby an arithmetic Ornstein-Uhlenbeck (or AR1) process. We thenapply our results to two related problems in the finance literature:(i) options pricing in a world of stochastic volatility, and(ii) the relationship between stochastic volatility and thenature of 'fat tails' in stock price distributions.     

Delistings of secondary listings: price and volume effects

Despite their growing importance in recent years, delistings of secondary listings have received very little attention. This article investigates whether a delisting is accompanied by any price or volume effects on the company’s primary exchange. We apply a standard event study methodology to analyze these effects. The total sample consists of 255 companies that either delisted from the SIX Swiss Exchange, the Sponsored Segment of the SIX, Deutsche Börse, or the Tokyo Stock Exchange. The results show no significant price effects, either around the announcement or around the effective delisting. Furthermore, the results vary considerably between subsamples. Prices tend to decline around announcement; however, the effect is not permanent. The effective delisting is preceded by declining prices, whereas the event itself has no influence. Overall, this initial decline appears to be permanent. In general, volumes seem to rise around the announcement as well as around the date of the delisting.     

Stock price fragility

We study the relation between the ownership structure of financial assets and non-fundamental risk. We define an asset to be fragile if it is susceptible to non-fundamental shifts in demand. An asset can be fragile because of concentrated ownership, or because its owners face correlated or volatile liquidity shocks, i.e., they must buy or sell at the same time. We formalize this idea and apply it to mutual fund ownership of US stocks. Consistent with our predictions, fragility strongly predicts price volatility. We then extend the logic of fragility to investigate two natural extensions: (1) the forecast of stock return comovement and (2) the potentially destabilizing impact of arbitrageurs on stock prices.     

Stock price synchronicity and liquidity

We argue and provide evidence that stock price synchronicity affects stock liquidity. Under the relative synchronicity hypothesis, higher return co-movement (i.e., higher systematic volatility relative to total volatility) improves liquidity. Under the absolute synchronicity hypothesis, stocks with higher systematic volatility or beta are more liquid. Our results support both hypotheses. We find all three illiquidity measures (effective proportional bid-ask spread, price impact measure, and Amihud's illiquidity measure) are negatively related to stock return co-movement and systematic volatility. Our analysis also shows that larger industry-wide component in returns improves liquidity. We find that improvement in liquidity following additions to the S&P 500 Index is related to the stock's increase in return co-movement.     

殳价操纵与反操纵监管

监管应该有能力发现操纵行为，并建立多样性的操纵行为监测手段，实施有效的反操纵监管(anti-manipulation regulation)。对操纵行为泛滥的中国股市而言，打击股价操纵行为更具有特嗣的迫切性和制度建设意义。     

Trading costs and price discovery

The price discovery roles of a set of related markets or securities have been investigated in many different settings where trading costs effect is often commingled with other trading arrangement factors. In Hong Kong, regular futures and mini futures contracts as well as their underlying spot asset are all traded on a same electronic trading platform. The trading arrangements thus provide us with a unique setting where we can isolate the impacts of transaction costs on price discovery. Using Hasbrouck’s (J Finance 50:1175–1199, 1995) information share approach, it is found that in Hong Kong, the regular futures contracts market plays a dominant role in price discovery while the mini futures and cash index markets play minor roles. The results in this paper provide an unequivocal support to the trading costs hypothesis.     

Stock price clustering and discreteness

Stock prices cluster on round fractions. Clustering increaseswith price level and volatility. and decreases with capitalizationand transaction frequency. Clustering is pervasive. Price clusteringwill occur if traders use discrete price sets to simplify theirnegotiations. Exchange regulations require that most stocksbe traded on eighths. Clustering on larger fractions will occurif traders choose to use discrete price sets based on quarters,halves, or whole numbers. An econometric model of clusteringis derived and estimated. Projections from the result suggestthat traders would frequently use odd sixteenths when tradinglow-price stocks, if exchange regulations permitted tradingon sixteenths.     

Stock price and systematic risk effects of discontinuation of corporate R&D programs

We extend the evidence on whether investors impound efficiently into stock prices new disclosures about corporate R&D programs. We find that firms that disclose the discontinuation of some of their R&D programs experience a significant negative announcement-period stock price response which is worse for growth stocks, for small-size firms, and for firms with low operating cash flow. We find no evidence that R&D discontinuing firms experience an event-induced change in their systematic risk. We find evidence of a one-year-long price reversal; however, it is not robust to controlling for possible risk dimensions for firms with R&D capital that the three-factor model does not capture. Evidently, investors' initial response at disclosures of discontinuation of corporate R&D programs is efficient.     

Clearing price distributions in call auctions

We propose a model for price formation in financial markets based on the clearing of a standard call auction with random orders, and verify its validity for prediction of the daily closing price distribution statistically. The model considers random buy and sell orders, placed employing demand- and supply-side valuation distributions; an equilibrium equation then leads to a distribution for clearing price and transacted volume. Bid and ask volumes are left as free parameters, permitting possibly heavy-tailed or very skewed order flow conditions. In highly liquid auctions, the clearing price distribution converges to an asymptotically normal central limit, with mean and variance in terms of supply/demand-valuation distributions and order flow imbalance. By means of simulations, we illustrate the influence of variations in order flow and valuation distributions on price/volume, noting a distinction between high- and low-volume auction price variance. To verify the validity of the model statistically, we predict a year's worth of daily closing price distributions for five constituents of the Eurostoxx 50 index; Kolmogorov–Smirnov statistics and QQ-plots demonstrate with ample statistical significance that the model predicts closing price distributions accurately, and compares favourably with alternative methods of prediction.     

Stock price effects of climate activism: Evidence from the first Global Climate Strike

The first Global Climate Strike on March 15, 2019, represented a historical turning point in climate activism. We investigate the cross-section of stock price reactions to this event for a large sample of European firms. The strike's unanticipated success caused a decrease in the stock prices of carbon-intensive firms. The effect appears to be driven by the increased public attention to climate activism. Furthermore, after the first Global Climate Strike financial analysts downgraded their longer-term earnings forecasts on carbon-intensive firms.     

Stock price reaction to public and private information

I use Easley and O’Hara's [1992, Journal of Finance 47, 577–604] private information-based trading variable, PIN, together with a comprehensive public news database to empirically measure the effect of private and public information on the post-announcement drift. I show that stocks associated with high PIN, consensus public news surprises, and low media coverage experience low or insignificant drift. Thus not all information acquisition variables have the same effect on the market's efficiency. Whether information is public or private is irrelevant; what matters is whether information is associated with the arrival rate of informed or uninformed traders.     

Stock price reaction following large one-day price changes: UK evidence

We examine the short-term price reaction of 424 UK stocks to large one-day price changes. Using the GJR-GARCH(1,1), we find no statistical difference amongst the cumulative abnormal returns (CARs) of the Single Index, the Fama–French and the Carhart–Fama–French models. Shocks ?5% are followed by a significant one-day CAR of 1% for all the models. Whilst shocks ?−5% are followed by a significant one-day CAR of −0.43% for the Single Index, the CARs are around −0.34% for the other two models. Positive shocks of all sizes and negative shocks ?−5% are followed by return continuations, whilst the market is efficient following larger negative shocks. The price reaction to shocks is unaffected when we estimate the CARs using the conditional covariances of the pricing variables.     

Stock price fragility and the cost of bank loans

This study examines whether the flow volatility experienced by institutional investors affects firms’ financing costs. Using Greenwood and Thesmar’s (2011) stock price fragility measure, we find that there is a positive relationship between fragility and firms’ costs of bank loans. This effect is most pronounced when lenders rely more on institutional shareholders to discipline corporate management, or when loans are made by relationship lenders, suggesting that unstable flows could weaken institutional investors’ monitoring effectiveness and strengthen relationship banks’ bargaining power.     

Stock price reactions as surrogates for the net cash flow effects of corporate policy decisions

This paper adopts a rational market structure to examine the link between the cash flow effects of management policy decisions and the resulting stock price reactions. The focus is on testing cross-sectional associations between cash flow effects and the underlying characteristics of affected firms. We find that it is not possible to infer the sign of association between the stock price reaction and any characteristics of the firm that are observable before management announces its decision. Our methodological suggestions involve exploiting either a priori assumptions or sample information about the probability distribution of unobservable decision variables underlying the management decision process.     

Stock price clustering on option expiration dates

This paper presents striking evidence that option trading changes the prices of underlying stocks. In particular, we show that on expiration dates the closing prices of stocks with listed options cluster at option strike prices. On each expiration date, the returns of optionable stocks are altered by an average of at least 16.5 basis points, which translates into aggregate market capitalization shifts on the order of $9 billion. We provide evidence that hedge rebalancing by option market makers and stock price manipulation by firm proprietary traders contribute to the clustering.     

Stock price synchronicity and analyst coverage in emerging markets

This paper examines the relation between the stock price synchronicity and analyst activity in emerging markets. Contrary to the conventional wisdom that security analysts specialize in the production of firm-specific information, we find that securities which are covered by more analysts incorporate greater (lesser) market-wide (firm-specific) information. Using the R² statistics of the market model as a measure of synchronicity of stock price movement, we find that greater analyst coverage increases stock price synchronicity. Furthermore, after controlling for the influence of firm size on the lead–lag relation, we find that the returns of high analyst-following portfolio lead returns of low analyst-following portfolio more than vice versa. We also find that the aggregate change in the earnings forecasts in a high analyst-following portfolio affects the aggregate returns of the portfolio itself as well as those of the low analyst-following portfolio, whereas the aggregate change in the earnings forecasts of the low analyst-following portfolio have no predictive ability. Finally, when the forecast dispersion is high, the effect of analyst coverage on stock price synchronicity is reduced.     

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.     

Stock price informativeness,cross-listings,and investment decisions

We show that a cross-listing enables firms to obtain, from the stock market, more precise information about the value of their growth opportunities. Thus, cross-listed firms make better investment decisions and trade at a premium. This theory of cross-listings implies that the sensitivity of investment to stock prices is larger for cross-listed firms. Moreover, the cross-listing premium is positively related to the size of growth opportunities and negatively related to the quality of managerial information. The sensitivity of the premium to the size of growth opportunities increases with factors that strengthen the impact of the cross-listing on price informativeness.     

Stock price synchronicity,cognitive biases,and momentum

The momentum anomaly is widely attributed to investor cognitive biases, but the trigger of cognitive biases is largely unexplored. In this study, inspired by psychology studies linking cognitive biases to the noisiness of information, we examine whether momentum returns are associated with high stock price synchronicity, a manifestation of noisy firm-specific information. Our results demonstrate that momentum is more pronounced in the presence of high stock price synchronicity. This finding is robust to other explanations and firm characteristics. We also find that stock price synchronicity boosts the profitability of momentum by amplifying investor underreaction to new information.