Short selling and dark pool volume

2020 ◽  
Vol 46 (10) ◽  
pp. 1263-1282
Author(s):  
Thomas Jason Boulton ◽  
Marcus V. Braga-Alves
Keyword(s):  
Fixed Effects ◽  
Trading Volume ◽  
Limited Information ◽  
Financial Industry ◽  
Content Type ◽  
Short Sellers ◽  
Informed Traders ◽  
Dark Pool ◽  
Short Interest ◽  
Dark Pools

PurposePrior research posits that traders with short-lived information favor lit exchanges over dark pools due to execution certainty. This paper aims to focus on the relation between informed trading based on firm fundamentals and dark pool volume because the preferred venue for traders with longer-lived information is less certain.Design/methodology/approachThe authors examine the effect of short interest, a proxy for informed traders with long-lived information, on dark pool volume using fixed effects, first difference and instrumental variable approaches. They examine the effect of dark pools on the profitability of long-lived information using market- and characteristic-adjusted returns.FindingsThe proportion of trading volume executed in dark pools is positively correlated with short interest. This result is stronger for stocks that suffer from greater uncertainty and stocks targeted by transient institutional investors. Short sellers profit substantially from their information as subsequent returns are lower for heavily shorted stocks with greater dark pool volume.Research limitations/implicationsIn 2014, the Financial Industry Regulatory Authority began making trading data available for dark pools. Before that, only limited information was publicly available. The authors use that data to shed more light on dark pools activity.Practical implicationsThe evidence presented in the paper helps inform the current discussion about the role and regulation of dark pools.Originality/valueThis is the first study to show that informed traders with long-lived information favor dark pools due to their opacity and the possibility of price improvement.

Shorting in Broad Daylight: Short Sales and Venue Choice

2019 ◽  
Vol 55 (7) ◽  
pp. 2246-2269 ◽  
Author(s):  
Adam V. Reed ◽  
Mehrdad Samadi ◽  
Jonathan S. Sokobin
Keyword(s):  
Market Design ◽  
Weighted Average ◽  
Short Sales ◽  
Average Price ◽  
Short Sellers ◽  
Dark Pool ◽  
Information Advantage ◽  
Design Characteristics ◽  
Dark Pools

Using a novel database on venue short sales and market design characteristics, we ask: Where do short sellers exploit their information advantage? Consistent with the prediction of Zhu (2014), we find that exchange short sales comprise a larger proportion of trading and are more informative about future prices than dark-pool short sales, particularly when there is greater competition among short sellers to trade and in the presence of short-lived information. When examining market design characteristics, we find that dark pools offering volume-weighted average price crossing attract more short sales, whereas those offering block trading attract fewer short sales.

Informed short selling: evidence from economically linked firms

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Fawzi Hyder ◽  
Mahsa Khoshnoud
Keyword(s):  
Supply Chain ◽  
Negative Relationship ◽  
Abnormal Returns ◽  
Multivariate Regression Analysis ◽  
Short Selling ◽  
Content Type ◽  
Short Sellers ◽  
Short Sale ◽  
Portfolio Returns ◽  
Short Interest

PurposeThis paper examines how sophisticated and better-informed investors, such as short sellers, trade on information along the supply chain. Given the economic linkages between suppliers and customers, one would expect short sellers to trade on such information and to capitalize on investors' inattention to such economic links.Design/methodology/approachThis paper uses both multivariate regression analysis and portfolio analysis where the time series averages of equally weighted monthly portfolio returns are reported to explore the abnormal returns of long-short trading strategies.FindingsResults indicate that short interest predicts unexpected earnings news, consistent with short sellers extracting information from economic relationships. There is a strong negative relationship between short interest in the supplier firm and the one-month future stock return of the customer firm. This negative relation significantly persists for at least 12 months. One plausible channel explaining the information content of supplier (customer) firm's short interest for the customer (supplier) firms is the short sale constraints on the customer (supplier) firms.Originality/valueThe paper addresses a gap in the literature by examining whether short selling in a firm in the months leading up to a customer's (supplier's) negative shock is negatively correlated to the customer's (supplier's) future performance. Overall, the findings suggest that short sellers play an important role in the price discovery of related firms in the supply chain, which is beyond the direct effects documented in prior literature.

Analyzing prediction market trading behaviour to select Delphi-experts

foresight ◽  
2018 ◽  
Vol 20 (4) ◽  
pp. 364-374 ◽  
Author(s):  
Simon Kloker ◽  
Frederik Klatt ◽  
Jan Höffer ◽  
Christof Weinhardt
Keyword(s):  
Delphi Study ◽  
Trading Volume ◽  
Prediction Market ◽  
Content Type ◽  
Informed Traders ◽  
The Moment ◽  
Delphi Studies ◽  
Selection Of ◽  
Trading Behaviour

Purpose The selection of experts for Delphi studies is crucial for the quality of the forecast results and the information taken into account. In the past, this has usually been done by selecting participants according to their reputation, although this approach is questionable in terms of reaching the most knowledgeable participants having new, relevant and valid information. In this context, this paper aims to propose to operate a prediction market alongside Delphi studies and select participants based on their trading behaviour in the market for the Delphi study. Design/methodology/approach Based on more than three years of historical prediction market trading data, the authors verify attributes that indicate insightful trades, as previously discussed in the finance literature, by using regression and classification trees. Findings The paper contributes attributes of trading behaviour that are theoretically derived from literature and potentially related to informed traders. These are tested and evaluated on historical prediction market data. Especially, the trading volume, the spread at the moment of trading and the market maker attribute seem to predict informed traders the best. Originality/value Algorithms based on identified attributes can be used to objectify the selection of experts for Delphi studies with potential gains in terms of the amount of information considered.

Audit quality, political connections and information asymmetry: evidence from banks in gulf co-operation council countries

2020 ◽  
Vol 16 (5) ◽  
pp. 673-698
Author(s):  
Abiot Tessema
Keyword(s):  
Information Asymmetry ◽  
Political Institutions ◽  
Fixed Effects ◽  
Trading Volume ◽  
Audit Quality ◽  
Social Contexts ◽  
Political Connections ◽  
Content Type ◽  
The Impact

PurposeThe purpose of this paper is to investigate the impact of audit quality on information asymmetry for a sample of leading listed local banks in the Gulf Cooperation Council (GCC). In addition, the paper examines whether a firm's political connections moderate the association between audit quality and information asymmetry.Design/methodology/approachThe author employs country fixed effects to examine the impact of audit quality on information asymmetry. The paper uses a sample of 49 leading listed local banks across the GCC and 236 bank-year observations, over the period of 2012–2016.FindingsUsing trading volume, trade value and stock return volatility as proxies for information asymmetry and audit quality through auditors' opinion and audit size, the paper documents that audit quality plays an important role in improving the quality of financial information reporting by providing greater independent assurance of the credibility of financial reports. The paper also documents that a firm's political connections have no effect on the association between audit quality and information asymmetry, indicating that the beneficial effects of audit quality are no greater for politically connected firms than for similar but politically unconnected firms.Practical implicationsThe findings of the study help policymakers, standard-setters and regulators to understand the potential adverse effect of political connections on the role of audit quality on information asymmetry. The study also provides important insights for audit regulators to better identify and understand the benefits of audit quality and to take policy matters that influence audit quality seriously.Originality/valueThe study increases our understanding of the impact of audit quality on the level of information asymmetry in different economic, legal and political institutions, regulatory and litigation incentives and social contexts compared to that of research conducted using data collected from developed and other emerging countries. This will help to widen our knowledge on the role of audit quality on information asymmetry across the globe.

Personalized cloud service review analysis based on modularized ontology

2020 ◽  
Vol 44 (5) ◽  
pp. 953-975
Author(s):  
Emna Ben-Abdallah ◽  
Khouloud Boukadi ◽  
Mohamed Hammami ◽  
Mohamed Hedi Karray
Keyword(s):  
Knowledge Base ◽  
Positive Impact ◽  
Cloud Service ◽  
Service Evaluation ◽  
End Users ◽  
Cloud Services ◽  
Limited Information ◽  
Content Type ◽  
Ontology Language ◽  
Modular Ontology

PurposeThe purpose of this paper is to analyze cloud reviews according to the end-user context and requirements.Design/methodology/approachpropose a comprehensive knowledge base composed of interconnected Web Ontology Language, namely, modular ontology for cloud service opinion analysis (SOPA). The SOPA knowledge base will be the basis of context-aware cloud service analysis using consumers' reviews. Moreover, the authors provide a framework to evaluate cloud services based on consumers' reviews opinions.FindingsThe findings show that there is a positive impact of personalizing the cloud service analysis by considering the reviewers' contexts in the performance of the framework. The authors also proved that the SOPA-based framework outperforms the available cloud review sites in term of precision, recall and F-measure.Research limitations/implicationsLimited information has been provided in the semantic web literature about the relationships between the different domains and the details on how that can be used to evaluate cloud service through consumer reviews and latent opinions. Furthermore, existing approaches are lacking lightweight and modular mechanisms which can be utilized to effectively exploit information existing in social media.Practical implicationsThe SOPA-based framework facilitates the opinion based service evaluation through a large number of consumer's reviews and assists the end-users in analyzing services as per their requirements and their own context.Originality/valueThe SOPA ontology is capable of representing the content of a product/service as well as its related opinions, which are extracted from the customer's reviews written in a specific context. Furthermore, the SOPA-based framework facilitates the opinion based service evaluation through a large number of consumer's reviews and assists the end-users in analyzing services as per their requirements and their own context.

Farm wages and public works

2015 ◽  
Vol 8 (1) ◽  
pp. 19-72 ◽  
Author(s):  
Kanika Mahajan
Keyword(s):  
Theoretical Model ◽  
Wage Rate ◽  
Fixed Effects ◽  
Positive Impact ◽  
Wage Growth ◽  
State Level ◽  
Random Allocation ◽  
Farm Sector ◽  
Content Type ◽  
The Impact

Purpose – The purpose of this paper is to examine the impact of National Rural Employment Guarantee Scheme (NREGS) on farm sector wage rate. This identification strategy rests on the assumption that all districts across India would have had similar wage trends in the absence of the program. The author argues that this assumption may not be true due to non-random allocation of districts to the program’s three phases across states and different economic growth paths of the states post the implementation of NREGS. Design/methodology/approach – To control for overall macroeconomic trends, the author allows for state-level time fixed effects to capture the differences in growth trajectories across districts due to changing economic landscape in the parent-state over time. The author also estimates the expected farm sector wage growth due to the increased public work employment provision using a theoretical model. Findings – The results, contrary to the existing studies, do not find support for a significantly positive impact of NREGS treatment on private cultivation wage rate. The theoretical model also shows that an increase in public employment work days explains very little of the total growth in cultivation wage post 2004. Originality/value – This paper looks specifically at farm sector wage growth and the possible impact of NREGS on it, accounting for state specific factors in shaping farm wages. Theoretical estimates are presented to overcome econometric limitations.

FINRA’s disciplinary actions in 2017: increased restitution ordered with minimal changes in number of cases

2018 ◽  
Vol 19 (2) ◽  
pp. 19-23
Author(s):  
Brian Rubin ◽  
Adam Pollet
Keyword(s):  
Money Laundering ◽  
Design Methodology ◽  
Disciplinary Actions ◽  
Financial Industry ◽  
Electronic Communications ◽  
Content Type ◽  
The Past ◽  
Expert Analysis ◽  
Research Analysts ◽  
Practical Implications

Purpose The purpose of this paper is to analyze the Financial Industry Regulatory Authority’s (FINRA) 2017 disciplinary actions, the issues that resulted in the most significant fines and restitution and the emerging enforcement trends from 2017 and beyond. Design/methodology/approach The approach of this paper discusses the disciplinary actions in 2017 and prior years, details the top 2017 enforcement issues measured by total fines assessed, including anti-money laundering, trade reporting, electronic communications, books and records, research analysts and research reports, and explains current enforcement trends, including restitution, suitability cases and technological issues. Findings In 2017, restitution more than doubled from the prior year, resulting in the fourth highest total sanctions (fines combined with restitution and disgorgement) assessed by FINRA over the past 10 years. Practical implications Firms and their representatives should heed the trends in both the substantial restitution FINRA is ordering and the related enforcement issues in the cases FINRA has brought. Originality/value This paper provides expert analysis and guidance from experienced securities enforcement lawyers.

Disposition effect at the market level: evidence from Indian stock market

2019 ◽  
Vol 12 (2) ◽  
pp. 69-82
Author(s):  
Sravani Bharandev ◽  
Sapar Narayan Rao
Keyword(s):  
Trading Volume ◽  
Stock Exchange ◽  
Reference Points ◽  
Disposition Effect ◽  
Content Type ◽  
Ex Post ◽  
Abnormal Trading Volume ◽  
The Difference ◽  
Trading Volumes ◽  
Indian Stock Market

Purpose The purpose of this paper is to test the disposition effect at market level and propose an appropriate reference point for testing disposition at market level. Design/methodology/approach This is an empirical study conducted on 500 index stocks of NSE500 (National Stock Exchange). Winning and losing days for each stock are calculated using 52-week high and low prices as reference points. To test disposition effect, abnormal trading volumes of stocks are regressed on their percentage of winning (losing) days. Further using ANOVA, the difference between mean of percentage of winning (losing) days of high abnormal trading volume deciles and low abnormal trading volume deciles is tested. Findings Results show that a stock’s abnormal trading volume is positively influenced by the percentage of winning days whereas percentage of losing days show no such effect. Findings are consistent even after controlling for volatility and liquidity. ANOVA results show the presence of high percentage of winning days in higher deciles of abnormal trading volumes and no such pattern in case of losing days confirms the presence of disposition effect. Further an ex post analysis indicates that disposition prone investors accumulate losses. Originality/value This is the first study, which proposes the use of 52-week high and low prices as reference points to test the market-level disposition effect. Findings of this study enhance the limited literature available on disposition effect in emerging markets by providing evidence from Indian stock markets.

Short‐sell moratorium effects on regional bank performance

2013 ◽  
Vol 5 (2) ◽  
pp. 92-110
Author(s):  
Michael Devaney ◽  
William L. Weber
Keyword(s):  
Trading Volume ◽  
Short Selling ◽  
Bank Risk ◽  
Too Big To Fail ◽  
Content Type ◽  
Naked Short Selling ◽  
Regional Bank ◽  
Capm Model ◽  
Short Sell ◽  
Regional Banks

PurposeThe purpose of this paper is to investigate the effects of the 2008 SEC short‐sell moratorium on regional bank risk and return. The paper also examines the decline in “failures to deliver” securities in the wake of SEC short‐sell moratorium.Design/methodology/approachIn total, six regional bank portfolios are derived and the beta coefficients from a CAPM model are estimated using the integrated generalized autoregressive conditional heteroskedasticity (IGARCH) method accounting for the short‐sell moratorium. Data on 110 regional banks in six US regions from January 2002 to December 30, 2011 are used to estimate the model.FindingsThe ban on naked short selling and the SEC short‐sell moratorium significantly increased individual bank risk for a majority of banks in six geographic regions, but also increased return in three of three regions. There was also reduced naked short selling as failures to deliver securities declined sharply after the September 2008 moratorium took effect.Originality/valueRegional banks have generally not achieved the size needed to be deemed “too big to fail” by policy‐makers. Thus, policy changes such as the SEC short‐sell moratorium might be expected to have larger effects on regional banks than on larger banks, which might be shielded from the policy change by having achieved “too big to fail” status. The authors' results are consistent with research that has shown that short‐sell restrictions increase risk by reducing liquidity and trading volume.

Economies of scale in European life insurance

2018 ◽  
Vol 19 (2) ◽  
pp. 190-207 ◽  
Author(s):  
Udo Klotzki ◽  
Alexander Bohnert ◽  
Nadine Gatzert ◽  
Ulrike Vogelgesang
Keyword(s):  
Life Insurance ◽  
Fixed Effects ◽  
Economies Of Scale ◽  
Insurance Markets ◽  
Fixed Effects Model ◽  
Content Type ◽  
Administrative Costs ◽  
Life Insurers ◽  
Acquisition Costs ◽  
The Uk

Purpose Due to the continuing low interest rate environment as well as the increase in acquisition costs, price transparency, cost transparency and competition with banks, the cost of life insurance becomes increasingly important for customers, insurers and shareholders. Against this background, the purpose of this paper is to study the development of insurers’ economies of scale in regard to administrative costs for four of the largest European life insurance markets. Design/methodology/approach The analysis on economies of scale is based on a comprehensive set of 477 life insurers in Germany, Italy, Spain and the UK, yearly data between 2000 and 2014, and regression calculations that are based on 4,855 observations. Findings The results show that economies of scale exist for all considered markets and for most of the considered years. However, the extent of economies of scale varies considerably across countries. Originality/value Overall, the existing academic literature on costs and corresponding economies of scale in life insurance primarily deals with analyses of total costs instead of administrative costs, a single year or a single market. This paper contributes to the existing literature by conducting an analysis of recent market dynamics and economies of scale in regard to administrative costs for the period from 2000 and 2014 for four of the largest European life insurance markets for which the respective data were available (Germany, Italy, Spain and the UK) and 477 life insurers in total. This is done by means of a log-log transformation of premiums and costs and a fixed effects model based on these transformed figures for 4,855 observations. In addition, for each market, the authors analyze the development of administrative costs for a total of 477 insurers.

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