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This study examines the effects of exchange listing change on firms that voluntarily switched from American Stock Exchange to Nasdaq. Prior studies find increased bid‐ask spreads in the short‐term period for these firms after the listing changes. This study extends the literature by examining the long‐term effects of the listing change from American Stock Exchange to Nasdaq. The results suggest that there were no significant changes in bid‐ask spreads, number of trades, and percentage of shares traded from the immediate period after the listing change to the much later periods. This study also finds that there was no significant change in the number of shareholders after the switch. The findings suggest that there is no improvement in liquidity and investor recognition for the switching firms.

To introduce and analyze recent amendments to the rules of three US securities exchanges to add specific continued listing standards applicable to exchange-traded funds (ETFs).

Provides an introduction and summary overview of the topic, summarizes the scope of the rule changes, discusses the industry reaction to the proposed rule changes and the regulator’s response, notes the applicability of the rule changes to ETFs relying on their own fund-specific regulatory relief, and identifies compliance dates.

Each of three US securities exchanges filed separate proposals to amend their listing standards to add specific continued listing standards for ETFs. Notwithstanding various concerns expressed in comment letters from key industry participants, by March 2017 the Securities and Exchange Commission (SEC) approved all three proposals in substantially the form proposed.

ETF sponsors should note that significant compliance enhancements may be required to ensure proper and continuous testing of securities in an ETF’s underlying index and/or portfolio in lieu of testing for compliance solely at the time of initial listing or at the time of an investment decision. The rule changes are scheduled to take effect by October 1, 2017.

Practical analysis from a premier financial services law firm on the issues presented by the ETF rule changes.

In this paper, the authors examine the relation between cross-listing and the noncompliance with the mandatory corporate social responsibility (CSR) expenditure regulation in India, the first country to legally mandate the CSR expenditure.

The authors apply panel logit and ordinary least square (OLS) regression models to examine the impact of cross-listing on the noncompliance with the mandatory CSR expenditure regulation because panel regression has lesser multicollinearity problems and has the benefit of controlling for individual or time heterogeneity mostly present in cross-section or time series data.

Using a sample of 1,027 listed Indian firms, the authors show that the cross-listed firms are more likely to comply with the mandatory CSR expenditure than non-cross-listed firms. The authors further show that this relation holds only for those firms which are exposed to higher agency problems, for firms affiliated to business groups and for firms operating in high litigation risk industries. Finally, the authors show that cross-listed firms complying with the mandatory CSR expenditure command more valuation premiums.

This study’s results suggest that the noncompliance of the Indian firms with the mandatory CSR expenditure regulation comes down once they cross-list their shares in the US or the UK since such firms have to bond to the stronger corporate governance standards of the listed country. Hence, the authors recommend that merely making the investment in CSR activities mandatory may not serve the purpose and the convergence in corporate governance as well as compliance with the CSR expenditure can be achieved through cross-listing in US and UK markets.

One, the authors analyze the effect of cross-listing on the likelihood and magnitude of noncompliance with the CSR mandate. Two, this study is based in India where CSR expenditure has been made mandatory under the Companies Act, 2013. Using CSR mandate as a natural experiment, the authors have access to a richer data set on CSR in terms of the actual expenditure made by the company on CSR activities and the mandatory amount to be spent in a particular year.

This study aims to conduct a comprehensive bibliometric analysis to determine the intellectual structure of cross-listing studies and suggests a road map for future research in this field.

A step-by-step procedure was carried out. With the help of a defined search string, 580 articles from reputed journals have been retrieved from the Scopus database. Bibliographic coupling and keyword analysis were executed to understand the current research scenario and future research directions in this research field. In addition, R Studio combined with VOSviewer was employed to analyse and visualise the data.

The results provide a deeper insight into publication trends, most prolific countries, institutions and journals in the area of cross-listing. The highest collaboration was observed between the authors in the USA and Canada. Moreover, the results contradict Bradford's and Lotka's laws. A thorough review of the literature identifies five clusters in this domain. Finally, keyword analysis offers a future road map in cross-listing research.

Researchers have shown greater interest in cross-listing topics over the past decades. Even though the research volume on this subject is increasing, the current retrospective is still insufficient. To the best of the authors' knowledge, this study is the first to provide valuable insights to practitioners, academicians, and prospective researchers about the intellectual structure of cross-listing and also offers future avenues in this research field through bibliometric analysis.

The prediction of Airbnb listing prices predominantly uses a set of amenity-driven features. Choosing an appropriate set of features from thousands of available amenity-driven features makes the prediction task difficult. This paper aims to propose a scalable, robust framework to predict listing prices of Airbnb units without using amenity-driven features.

The authors propose an artificial intelligence (AI)-based framework to predict Airbnb listing prices. The authors consider 75 thousand Airbnb listings from the five US cities with more than 1.9 million observations. The proposed framework integrates (i) feature screening, (ii) stacking that combines gradient boosting, bagging, random forest, (iii) particle swarm optimization and (iv) explainable AI to accomplish the research objective.

The key findings have three aspects – prediction accuracy, homogeneity and identification of best and least predictable cities. The proposed framework yields predictions of supreme precision. The predictability of listing prices varies significantly across cities. The listing prices are the best predictable for Boston and the least predictable for Chicago.

The framework and findings of the research can be leveraged by the hosts to determine rental prices and augment the service offerings by emphasizing key features, respectively.

Although individual components are known, the way they have been integrated into the proposed framework to derive a high-quality forecast of Airbnb listing prices is unique. It is scalable. The Airbnb listing price modeling literature rarely witnesses such a framework.

A number of US firms voluntarily de‐listed their stock from the Tokyo Stock Exchange (TSE) during the years 1977–97. We examine changes in trading volume, return volatility and implicit bid‐ask spreads in the U.S. stock exchange surrounding the de‐listing, and find evidence of an increase both in trading volume and bid‐ask spreads, particularly when the analysis is conditioned upon (a) trading volume on the TSE prior to de‐listing and (b) whether the de‐listing firm had operations in Japan. We also examine the daily stock price movement of the de‐listed firms and find a significantly negative price movement at the time of the de‐listing announcement, and also around the actual date of de‐listing. The results suggest a negative price response reflecting both a temporary information effect and also a more permanent valuation effect. Preliminary tests suggest that the latter is not related to the decrease in liquidity.

The purpose of this paper is to investigate the role of cross-listing in overcoming liability of origin (LOO) facing emerging economy corporations (EECs).

This paper takes Chinese firms' cross-listing in Hong Kong and the firms' establishment of international joint ventures (IJVs) with foreign partners as the research setting. This is an empirical study using Heckman's self-selection model as the primary econometric technique and two-stage least square (2SLS) regressions as the supplementary estimation procedure.

Cross-listing in developed economies can serve as a signal for EECs to overcome the LOO. In addition, the regional institutional voids of emerging economies (EEs) and state ownership are prominent boundary conditions shaping this effect.

Only Chinese firms and the firms' cross-listing in Hong Kong are considered for the empirical context as a result of data availability.

This paper provides a practical solution for EECs whose internationalisation tends to be hindered by the LOO.

This study is of high importance in that it centres on a distinctive and challenging problem faced with EECs—the LOO. Besides, it ascribes this liability to a matter of information asymmetries and explores how cross-listing can serve as a signal to cope with this challenge.

In this paper, the authors aim to test the assertion that options act as a substitute for short sales by allowing investors an alternative way to act on bearish sentiment. An empirical test of this assertion requires a researcher to observe both types of firm – those that weren’t short sale constrained, as well as those that were. The authors examine the ability of options to alleviate the short sales constraint directly – in an environment where the constraint is likely to differ across firms in a systematic fashion, namely the market for American Depository Receipts (ADRs).

The authors examine 190 option introductions on ADRs over the period of 1982 to 2006. The question of how ADRs are chosen for options listing, and whether those criteria differ from those found using purely domestic options, is addressed using logistic regressions. The authors use the event study methods of Brown and Warner to examine the price effect of the listing. They use OLS regression to identify determinants of the cumulative abnormal return upon option listing. Independent variables are those indicated by existing literature that examines option listing on domestic securities.

In an environment where the effective short sale constraint varies across firms, the authors find support for the contention that US option listings reduce the effect of the short sales constraint, providing relief for investors who have negative sentiment about the stock and are subject to a short sale constraint. However, it does not appear that option listing entities seek out companies for which short sale constraints are stronger.

The authors’ hypotheses are similar to those of Mayhew and Mihov and of Danielson and Sorescu, but the authors assert that the ADR market is a more robust environment in which to test the hypotheses. This is due to the potentially large variation in the effective short sale constraints that results from the differences in their underlying home market legal and regulatory environments. In addition to relative short interest and the change in relative short interest, this environment allows the authors to use indicator variables to directly test the ability of options to substitute for short sales.

The purpose of this paper is to investigate the effect of cross-listing on the size and structure of director compensation at individual director level. While much of the prior literature has focused on executive compensation, more recent literature has started to examine director compensation. Additionally, there has been extensive literature examining the impact of cross-listing on the corporate governance and equity valuation of listed firms. The literature, however, has largely ignored the effect of cross-listing on director compensation schemes. This study attempts to combine these two literature streams and examine the effect of cross-listing on director compensation.

This study uses American Depository Receipts (ADRs) and matched non-ADRs from the same country and industry to test the relationship between cross-listing and director compensation. Regressions with country, year and industry fixed-effects are employed. The relationship is further examined using only ADR firms during pre-listing and post-listing periods.

This study finds that directors of ADR firms receive higher total compensation and greater percentage equity-based compensation relative to directors of non-ADR firms. This study also finds that such differences in director compensation are dependent on the cross-listing program a firm is registered to. Directors of ADR firms also receive higher total compensation and greater percentage equity-based compensation during post-listing periods relative to their own compensation during pre-listing periods.

This study extends the literature on director compensation in a global setting, and is the first to examine an unanswered question regarding the effect of cross-listing on director compensation. This study provides important information that cross-listing affects the size and structure of director compensation between ADR and non-ADR firms, as well as between pre-listing and post-listing periods for ADR firms themselves.

The purpose of this paper is to explore whether corporate governance is the intermediary between the cross listing strategy and corporate performance.

The paper first reviews the studies on cross listing and corporate governance, and then constructs the theoretical model to express the relationship between cross listing, corporate governance, and corporate performance. Then, the paper takes the regression test and mediating effects test with the companies listed in Hong Kong as the sample.

Empirical studies found that corporate governance is the intermediary between the cross listing strategy and corporate performance. Meanwhile, the study verified that cross listing strategy does enhance corporate performance.

The finding will help Chinese corporations choose another way to be international and practise the strategy of cross listing.