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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.

This paper focuses on Taiwanese‐funded manufacturing companies operating in mainland China to analyze the factors affecting funding decision‐making before and after initial public offering (IPO).

This research investigates the impact and usefulness of various paths in the data system by using the structural equation modeling (SEM) to examine how the overall economy aspect and the basic aspect before IPO affect the initial returns (IRs) during the IPO and the debt ratio (DR) volatility after listing.

The results show that the IR, percent change of stock index, and exchange rate volatility before IPO are negative associated with the DR after IPO. The age of IPO companies is positive associated with the DR after IPO. This research also finds that the interest rate volatility before and after IPO have no direct effect upon companies' financial strategies after IPO, but may indirectly affect companies' financial strategies after IPO through the IRs, which conform with the market information feedback hypothesis proposed by van Bommel and Vermaelen.

This paper investigates Taiwanese‐funded traditional manufacturing companies in mainland China. The paper obtains the sample from the Taiwan Stock Exchange from 1990 to 2005; electronic companies and samples lacking complete data are eliminated. Finally, the sample consists of 122 companies from traditional manufacturing sectors. The results may be applied to companies not from high‐tech sectors and emerging markets only. The incentive of debt financing would be lower for IPO companies with high IRs, percentage changes of stock index, and exchange rate fluctuation before listing. The paper suggests further research can investigate IRs for establishing an optimal capital structure to minimize financing costs and appreciate company value when choosing financing strategies. The new pubic companies will infer the IR and future capital structure through market interest before listing. It suggests future research may be directed at companies from financial and high‐tech sectors, and may apply the methodologies to developed economies.

It is suggested that IPO companies may closely examine to determine the performance of stock market, tendencies of exchange rate movement, as well as IRs in order to establish an optimal capital structure to minimize financing costs and appreciate company value. Besides, the new pubic companies will infer the IR and future capital structure through market interests before listing.

This research implicated that IPO companies should fully understand the stock market circumstance and exchange rate volatility tendencies. Then, the new pubic offering companies will be able to infer the IR and future capital structure through market interest to judge relative financing costs of manufacturing companies.

The purpose of this paper is to examine the common stock price reaction and the changes to the risk exposure of the cross-listing for real estate investment trusts (REITs).

The paper adopts the event study methodology to assess the abnormal returns (ARs). Pre- and post-cross-listing changes in the risk exposure for the domestic and foreign markets are examined, via a modified two-factor international asset pricing model. A comparison is made for two broad cross-listings, namely, the depositary receipts and the dual ordinary listings, to examine the impacts from institutional differences.

Cross-listed REITs generally experience positive and significant ARs throughout the event window, implying significant superior returns associated with the cross-listing for REITs. On systematic risks, REITs exhibit significant decline in their domestic market β coefficients after the cross-listing. However, the foreign market β coefficients do not yield conclusive evidence when compared across the sample.

Results are consistent with prudential asset allocation for potential diversification gains from the cross-listing, as the reduction from the domestic market beta is more significant than changes in the foreign market beta.

The results and findings should incentivise REIT managers to explore viable cross-listing.

Such cross-listing for REITs should enhance risk diversification.

This is a pioneer study on cross-listing of REITs. It provides a basis for investment decision making, and could provoke further research and discussion.

We propose a novel method of forecasting equity option spreads using the degree of multiple listing as a proxy for expectations of future spreads. Spreads are a transactions fee for traders. To determine the future spreads on options being considered for purchase, traders must take current market trends affecting spreads into account. One such trend is the continued decline in spreads due to the multiple listing of options. Options listed on 4–6 exchanges compete more intensely than those listed on fewer exchanges, so that they may be expected to experience greater future declines in spreads. This study identifies the listing dates and number of listed exchanges for options listed on up to six exchanges as of May 2005. Listing criteria for multiple listing are defined with short- and long-term volumes, market capitalization, net income, and total assets being significant determinants of multiple listing. Short- and long-term volumes were found to have no explanatory power for multiple listing. Ranges of listing criteria are specified so that traders may locate the options of their choice.

Barry and Brown find that returns are higher for securities that have been listed for shorter periods of time after controlling for firm size and a January effect. The purpose of this paper is to examine the robustness of this period of listing effect and test for a post‐listing effect.

By extending the sample and including additional risk measures using both the Fama and Macbeth approach and the Fama and French approach, the author is able to conduct a stronger test of the period of listing effect and jointly test for a post‐listing effect.

The results indicate that there is a period of listing effect but that the effect is driven not by the higher returns of the newly listed firms but by the lower returns of the longest listed firms. The paper also provides additional support for a post‐listing effect in the sample.

While the results support a period of listing effect, they invite the larger question of why longer listed firms underperform. While the Barry and Brown informational risk explanation for period of listing effect may suffice, the results indicate a greater need to understand why returns vary with firm listing age especially for the newly listed and longest listed firms.

This paper develops the approach suggested by Howe et al. to examine the impact of cross‐listings on stock price volatility in Europe.

A modified generalized autoregressive conditional hetero‐skedasticity (GARCH) modeling approach as suggested by Li and Engle is used taking into account different regulatory structures across the range of markets using LaPorta et al.'s stock market regulatory classification.

It is found that information spillover effects are important for the Dutch market for cross‐listed equities and that a different regulatory environment may have a noteworthy impact on symmetric information spillovers.

The focus is 11 cross‐listing equities and on an event window of 12 years. This implies that the results may be biased on the data sample and the length of the period that used.

The findings are important for the shareholders of cross‐listed companies as the various impacts of regulatory differences between markets (as a result of low and high shareholder protection rules) from foreign markets to the Dutch home market are identified.

A primary focus of this paper is to provide a different methodology than the one adopted by Howe et al. using a modified GARCH modeling approach as suggested by Li and Engle, to examine the impact of the cross‐listings of Dutch firms on symmetric volatility spillovers. The analysis also takes into account the influence of different regulatory structures across the range of markets where Dutch firms are cross‐listed. In particular, we use LaPorta et al.'s stock market regulatory classification is used to analyze the magnitude and persistence of symmetric volatility spillovers from the foreign listing to the home equity of cross‐listed companies in the Dutch stock exchange.

This paper investigates the effects of introducing equity-linked warrants (ELWs) on the stock price, trading volume, volatility, and systematic risk (beta) by using the event study methodology. The study defines the event date as the announcement date as well as the listing date. In addition, whereas previous research has investigated only call ELWs, this study analyzes the effects of introducing both call and put ELWs.

The results provide no evidence of hedging effects of issuers before the announcement dates and information effects after the announcement dates. In addition, we can't find any significant changes of variables associated with the market completeness hypothesis near the listing dates.

However, the trading volume of the stock tends to increase in the days immediately following the listing of call ELWs, which may be due to the “informed trading effect”. The empirical results also provide support for the “diminishing short-sales restrictions” hypothesis related to the listing of put ELWs, which implies that short-sale restrictions can be reduced because put ELWs can provide investors with short positions in the underlying stock.

A significant number of Chinese companies are listed overseas. The authors aim to examine whether overseas locations affect their financing decision, specifically their capital structure choice.

Most of the Chinese overseas listed companies are listed in the USA and Hong Kong. As the institutional quality of the USA is better than Hong Kong, the authors, therefore, choose to build the hypotheses from the “law and finance” literature. Specifically, the authors argue that the better institutional environment of the USA can mitigate the information asymmetry problem and the agency problem of financing via equity. Consequently, firms listed in the USA will rely more on equity and have lower leverage ratio. The difference in leverage ratio of US listed and Hong Kong listed companies should be larger when the marginal benefit of better information environment is larger.

Referring to various data sources, the authors construct a comprehensive list of overseas listed companies in the USA and Hong Kong. The authors collect the accounting and stock performance information from Datastream/Worldscope and the equity offering data from Global New Issue database. The empirical findings provide strong support of the hypotheses: the leverage is 15 percent lower for US listed companies than the Hong Kong listed companies; the results are stronger when the firms face more severe information asymmetry problem; the stock price reacts less negatively for seasoned equity offering in the USA than in Hong Kong.

Most of the Chinese companies decided to be listed overseas because they cannot be listed in the Mainland Chinese stock exchanges. One of the most important motivation is to access to external capital to support firm growth. As the main channel of external financing in the overseas markets is equity since debt is still mainly domestically based, one implication of this paper is that Chinese companies can gain better access to external capital in the USA than in Hong Kong and relax their financial constraint.

There are a considerable number of Chinese companies listed in the overseas markets. Many successful and famous companies are among them. However, almost no research has been done based on them. This paper documents some very important phenomenon of this market. The authors wish that more studies will be conducted. In addition, the study also complements the existing studies on how institutional environment affects corporate financial behavior.

This paper attempts to explore the interrelationships between the split-share structure reform and privatization processes in light of the interplay between the listing announcements of the non-traditional shares of the Chinese firms within the steel industry and market reaction to these listed shares, as well as to analyze the value gained by the firms due to the privatization processes.

The paper examines market reaction to the listing announcements of non-traditional shares as traditional shares by employing event-study methodology. To determine the success of privatization process and value creation to the firm, the paper utilizes multivariate analysis.

The exogenous factors emphasized in a topographical order, explicitly profitability, efficiency, and leverage, are related to the privatization processes and split-share structure reform that impact the market. The study supports that market reacts positively to the listing announcements of non-traditional shares. Being listed improves value to the firm.

The limitation of this study is the lack of data on country, industry, and firm factors; and this study merely relates to one specific industry and one country.

The paper fills a gap in the literature by articulating the impact of privatization and split-share structure reform on both market reaction and firm value. It focuses on the impact of a dynamic process rather than the impact of a static constituent on market reaction and firm value, as the previous studies have been concentrating on. The research shows that there is an accelerated privatization process of state-owned firms in Chinese steel industry and their integration in capital markets.

The purpose of this study is to examine the influence of earnings management during initial public offerings on the listing day returns.

The study collected data for 511 Indian IPOs that came between April 2003 and March 2019 for calculating earnings management. On the basis of the Cross Sectional Modified Jones Model 1995, the paper presents three proxies of earnings management as discretionary accruals (DA), discretionary current accruals (DCA) and discretionary long-term accruals (DLA). The study further used correlation and multiple regression analysis to assess the impact of earnings management on listing day returns.

The findings show that earnings management and listing day returns vary through issue-year and industry-type. Apart from it, the study reveals a greater contribution of short-term accruals in earnings management on the basis of higher DCA values. It also discloses that the aggregate level of earnings management (DA) influences listing returns, whereas DCA and DLA separately have no impact on the listing day returns of the Indian IPOs.

The findings are useful to potential investors and analysts to observe, assess and understand the quality of financial reports that are based on fallacious disclosure of accounting figures. The study also reflects the efficacy of Indian regulatory norms for IPOs in constraining earnings management and underpricing, thus providing meaningful insight to the policy makers and the regulators.

This study is distinguished by its focus on determining the influence of earnings management on listing day returns in Indian IPOs by using three earnings management proxies.