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This paper aims to analyze systemic risk in and the effect of capital regulation on the European insurance sector. In particular, the evolution of an exposure measure (SRISK) and a contribution measure (Delta CoVaR) are analyzed from 1985 to 2016.

With the help of multivariate regressions, the main drivers of systemic risk are identified.

The paper finds an increasing degree of interconnectedness between banks and insurance that correlates with systemic risk exposure. Interconnectedness peaks during periods of crisis but has a long-term influence also during normal times. Moreover, the paper finds that the insurance sector was greatly affected by spillovers from the process of capital regulation in banking. While European insurance companies initially at the start of the Basel process of capital regulation were well capitalized according to the SRISK measure, they started to become capital deficient after the implementation of the model-based approach in banking with increasing speed thereafter.

These findings are highly relevant for the ongoing global process of capital regulation in the insurance sector and potential reforms of Solvency II. Systemic risk is a leading threat to the stability of the global financial system and keeping it under control is a main challenge for policymakers and supervisors.

This paper provides novel tools for supervisors to monitor risk exposures in the insurance sector while taking into account systemic feedback from the financial system and the banking sector in particular. These tools also allow an evidence-based policy evaluation of regulatory measures such as Solvency II.

Before providing an overview of the conference with the above title and this Special Issue, this paper aims to present a view of the meaning of systemic risk, factors that affect systemic risk and measures of systemic risk. Thereafter, the conference presentations and the papers in this issue are summarized.

Characteristics and measures of systemic risk are reviewed. Conference papers and presentations are summarized.

While some aspects of systemic risk of a financial institution can be measured, an important aspect associated with contagion through markets is not easily captured by simple measures.

The conference and the papers in this issue contribute to the policy debate about sources and characteristics of systemic risk.

This study aims to investigate – theoretically and empirically – if call auctions incorporate asymmetric information into prices.

First, this study introduces a new model of price formation in a call auction with insider information. In this call auction model, insider trading gives rise to an asymmetric information component of transaction costs. Next, this study estimates the model using 20 stocks from Euronext Paris and investigates if the asymmetric information component is present.

The theoretical analysis reveals that call auctions incorporate asymmetric information into prices. The empirical analysis finds strong evidence for the asymmetric information component. Testable implications provide further support for the model.

Call auctions have recently been proposed as an alternative to continuous limit order book markets to overcome problems associated with high-frequency trading. However, it is still an open question whether call auctions efficiently aggregate asymmetric information. The findings of this study imply that call auctions facilitate price discovery and, therefore, are a viable alternative to continuous limit order book markets.

There is no generally accepted measure of trading costs for call auctions. Therefore, the measure introduced in this study is of great value to anyone who wants to quantify trading costs in call auctions, understand the determinants of trading costs in call auctions or compare trading costs and their components between continuous markets and call auctions. This study also contributes to the literature devoted to estimating the probability of information-based trading.

Communications regarding this column should be addressed to Mrs. Cheney, Peabody Library School, Nashville, Term. 37203. Mrs. Cheney does not sell the books listed here. They are available through normal trade sources. Mrs. Cheney, being a member of the editorial board of Pierian Press, will not review Pierian Press reference books in this column. Descriptions of Pierian Press reference books will be included elsewhere in this publication.

The proliferation or information, created and sustained with the help of technology, has placed increased pressure on librarians to teach/assist library patrons to use the information efficiently and effectively. With decreasing budgets and resulting smaller staffs, academic libraries have been hard pressed to meet the demand. In response to this need, the Ohio State University (OSU) Libraries has developed a microcomputer program that enables library users to identify, locate, evaluate, and select information independently. With the support of three federal grants and one private grant, the OSU Libraries has designed The Gateway to Information in order to guide users to the best information for their needs, regardless of format. The Gateway's evaluations demonstrate that it is an effective and user‐friendly information tool for a wide range of library patrons. The Gateway is now available on all of the Libraries' terminals.

This article examines the applications of RFID technology in the world of sport. It provides the reader with an overview of RFID and its uses in business. The article looks at how RFID can be employed in the games themselves, in sports venues and in sports memorabilia as a means of enhancing the value, enjoyment and security of sports. The author concludes by discussing the importance of this technology for sports marketing and research.

Based upon estimates of the change in consumption due to a change in out-of-pocket-health expenses (dC/dOOPHE) for 43 countries, this paper aims to argue for a reevaluation of what constitutes OOPHE when determining health insurance especially in the wake of Covid-19.

Reiterative truncated projected least squares (RTPLS), a statistical technique designed to handle the omitted variables problem of regression analysis.

If budgets are binding than dC/dOOPHE should be 0; if OOPHE merely adds to current consumption than dC/dOOPHE should be 1. However, merely plotting consumption versus OOPHE for the 43 countries for which organization for economic cooperation and development has the required data clearly shows a dC/dOOPHE much greater than one. This paper’s estimates of dC/dOOPHE for 2000 to 2017 range from 15.6 for Switzerland (in 2016) to 225.2 for Columbia (in 2003).

RTPLS cannot determine what part of the results are due to an increase in income causing both consumption and OOPHE to increase and what part is because of actual OOPHE far exceeding official OOPHE. However, the latter is involved.

As Covid-19 sickens millions while depriving millions of their normal means of generating income, what constitutes OOPHE should be expanded when determining health insurance. This paper’s results imply that even prior to Covid-19 health insurance covered much less than the optimal amount of actual OOPHE.

This is the first paper to use RTPLS to estimate dC/dOOPHE.

Dysarthria is a neuromotor speech disorder caused by neuromuscular disturbances that affect one or more articulators resulting in unintelligible speech. Though inter-phoneme articulatory variations are well captured by formant frequency-based acoustic features, these variations are expected to be much higher for dysarthric speakers than normal. These substantial variations can be well captured by placing sensors in appropriate articulatory position. This study focuses to determine a set of articulatory sensors and parameters in order to assess articulatory dysfunctions in dysarthric speech.

The current work aims to determine significant sensors and parameters associated using motion path and correlation analyzes on the TORGO database of dysarthric speech. Among eight informative sensor channels and six parameters per channel in positional data, the sensors such as tongue middle, back and tip, lower and upper lips and parameters (y, z, φ) are found to contribute significantly toward capturing the articulatory information. Acoustic and positional data analyzes are performed to validate these identified significant sensors. Furthermore, a convolutional neural network-based classifier is developed for both phone-and word-level classification of dysarthric speech using acoustic and positional data.

The average phone error rate is observed to be lower, up to 15.54% for positional data when compared with acoustic-only data. Further, word-level classification using a combination of both acoustic and positional information is performed to study that the positional data acquired using significant sensors will boost the performance of classification even for severe dysarthric speakers.

The proposed work shows that the significant sensors and parameters can be used to assess dysfunctions in dysarthric speech effectively. The articulatory sensor data helps in better assessment than the acoustic data even for severe dysarthric speakers.

The purpose of this paper is to review the insights provided by behavioral finance studies conducted in the last decade (2006-2015) examining behavioral variables in financial decision making.

The literature review assesses 623 qualitative and quantitative studies published in various international refereed journals and identifies possible scope of future work.

The paper identifies stock market anomalies which contradict rational agents of modern portfolio theory at an aggregate level and behavioral mediators, influencing the financial decision making at an investor level. The paper also attempts to classify different dimensions of risk as professed by the investor.

The authors synthesize the contribution made by behavioral finance studies in extending the knowledge of financial market and investor behavior.

An emerging line of research examining the role of numerological superstition in the capital market shows that it has significant impact on investor behavior (Bhattacharya, Kuo, Lin, & Zhao, 2018; Hirshleifer, Jian, & Zhang 2018). However, to the authors’ best knowledge, there is a dearth of evidence on whether numerological superstition affects corporate behavior. This study fills this void by examining the association between investors’ numerological superstition and earnings management using Chinese data.

Chinese culture views 6 and 8 as lucky numbers. Using Chinese publicly traded firms, the authors examine the relation between investors’ numerological superstition and corporate financial reporting behavior.

The results suggest that firms reporting lucky earnings-per-share (EPS) numbers ending with 6 or 8 are more likely to engage in earnings management. These firms also raise more capital through seasoned equity offerings in the following year; however, they do not have more capital investments. Instead, their controlling shareholders siphon a significant amount of capital through related party transactions. Overall, the findings suggest that managers collude with controlling shareholders to manage earnings by exploiting the superstitious beliefs of minority shareholders.

To the authors’ best knowledge, there is a dearth of evidence on whether numerological superstition affects corporate behavior. This study fills this void by examining the association between investors’ numerological superstition and earnings management using Chinese data.