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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.

Prior research on additions to the S & P 500 and the smaller MidCap 400 and SmallCap 600 indexes reach different conclusions regarding the key variables that explain the cross-section of announcement period abnormal returns. Most notable in this regard is that liquidity measures, long thought to be of importance, do not appear to explain abnormal returns of the S & P 500 when other factors are controlled for. By contrast, they do appear to matter for additions to the smaller stock indexes. To explore this difference, the purpose of this paper is to analyze the abnormal returns upon announcement that a stock will be added to the Nasdaq-100 Index in a cross-sectional manner, controlling for several possible alternative factors.

This paper analyzes abnormal returns upon announcement that a stock will be added to the Nasdaq-100 Index. The authors consider several possible sources of the positive price effects in a multivariate setting that controls simultaneously for measures of liquidity, arbitrage risk, operating performance and investor interest and awareness. The authors then analyze both trading volume and the bid-ask spreads. The authors finally examine analyst and investor interest, focussing on changes in analyst coverage.

The authors find that only liquidity variables are significant, but that factors representing feedback effects on the firm’s operations and level of managerial effort are not. The authors find that the average bid/ask spreads of stocks added to the Nasdaq-100 index are lower after the addition. The authors also find that the number of analysts following a stock increases significantly after addition, verifying increased analyst interest. Both forms of evidence are consistent with the hypothesis that the additions are associated with enhanced liquidity for the stocks.

The authors conclude that what does happen to a Nasdaq stock when it is announced that it will be added to the Nasdaq-100 Index is that more analysts are drawn to it, and its market liquidity is enhanced. The authors conclude that what does not happen is that there is no evidence of significant effects of enhanced managerial effort or operating performance associated with the inclusion. This difference is noteworthy because it suggests that a certification effect of additions to the S & P indexes associated with S & P’s selection process are unique to it and do not apply to the Nasdaq-100 Index additions based on market cap alone. The results provide indirect evidence on the existence and significance of the certification effect associated with additions to the S & P indexes.

In one of the last major Enron‐related corporate reforms, the SEC approved on November 4, 2003 the final versions of both the New York Stock Exchange’s and Nasdaq’s corporate governance proposals. Generally, both sets of rules require listed companies to have a majority of their boards comprised of independent directors. In addition, the rules impose significant responsibilities on listed companies’ nominating, compensation, and audit committees. With certain exceptions, both NYSE and Nasdaq companies will have until the earlier of (i) the company’s first annual meeting occurring after January 15, 2004 or (ii) October 31, 2004 to comply with the new rules. This article compares both sets of new rules to current rules, discusses the differences between the NYSE’s and Nasdaq’s new rules and suggests steps issuers should take to comply with the new rules.

The purpose of this paper is to explain the amendments to the listing standards of the New York Stock Exchange (NYSE) and the NASDAQ Stock Market (Nasdaq), which were approved by the Securities and Exchange Commission (the SEC) on January 11, 2013 to implement the SEC's final rules on the independence of compensation committees and their selection of advisors pursuant to Rule 952 of the Dodd‐Frank Wall Street Reform and Consumer Protection Act of 2010 (Dodd Frank).

After a summary of notable provisions, the paper explains effective dates and respective Nasdaq and NYSE listing standards pertaining to compensation committee compensation; director independence standards, advisors, and charters; certain exemptions for foreign issuers; exemptions for certain types of companies and partnerships; and recommended next steps for companies that are subject to the amended listing standards.

Over the past few years, the independence of compensation committees and their advisors has been a hot button corporate governance issue. Dodd‐Frank prohibits national securities exchanges from listing any equity security of an issuer that is not in compliance with the exchanges' compensation committee independence and advisor requirements.

The listing standards generally become effective on July 1, 2013; however, listed companies have until the earlier of: their first annual meeting after January 15, 2014; or October 31, 2014, to comply with certain requirements including the independence structure of their compensation committees.

The paper provides practical advice from experienced financial services lawyers.

Clean energy stocks are exhibiting signs of increasing volatility reflecting the varied and conflicting strategies employed by nations to pursue energy security objectives. In this regard, this paper aims to examine the response of NASDAQ clean energy stock returns volatility to the influences of external energy security elements including oil price, natural gas price, coal price, carbon price and green information technology stock price.

The paper uses symmetric and asymmetric generalised autoregressive conditional heteroskedasticity models (GARCH and TGARCH, respectively), which incorporate external energy security elements as exogenous variables, to estimate volatility models for clean energy stock returns.

Although, prices of oil, coal and natural gas are negatively associated with NASDAQ clean energy returns volatility, only the effect of natural gas price is significant. While carbon price affects NASDAQ clean energy returns volatility positively, green information technology price affects the volatility negatively. These results are robust to exponential GARCH and lead-and-lag robust ordinary least-squares as alternative estimation methods.

The study lumps the effects of all other external and internal factors, including internal energy security elements, in the autoregressive conditional heteroscedasticity (ARCH) term to predict NASDAQ clean energy returns conditional variance. GARCH method does not disentangle individual roles of the factors captured in the ARCH term in predicting volatility.

Results documented imply that natural gas appears a closer substitute for renewable energy sources than crude oil and coal, such that its price rise is perceived as good news in the NASDAQ clean energy financial market, while a fall is considered bad news. Furthermore, both an increase in carbon price and a decrease in green information technology stock performance are perceived as negative shocks.

In assessing risks associated with clean energy stocks, investors and fund managers should carefully consider the effects of external energy security elements.

To the best of the author’s knowledge, the paper is the first to identify external energy security elements and examine their effects on clean energy stock volatility.

This paper aims to provide evidence that market efficiency varies greatly across individual stock, and across market exchanges.

Three approaches, partial adjustment model, Dimson beta model and variance ratio test, are used on a large sample of US stocks.

This paper finds prices are closer to random walk benchmarks (i.e. more efficient) for stocks with better liquidity provision, frequent trading, greater return volatility, higher prices, larger market capitalizations and smaller trade sizes. These findings suggest that liquidity stimulates arbitrage activity, which, in turn, enhances market efficiency. Market efficiency also varies with information environment. The results show that stocks with greater information-based trading exhibit higher level of efficiency. Finally, market structure influences market efficiency. New York Stock Exchange stocks achieve higher level of efficiency than NASDAQ stocks do. The empirical results are robust and not driven by differences in stock attributes between the two markets.

Overall, these results indicate that liquidity provision, stock attributes and market structure exert a significant impact on the realization of market efficiency.

In addition, this paper is also relevant to both stock exchanges facing increased competition and to market regulators.

Prior studies offer little evidence on the speed at which new information is impounded into the price. There is also limited evidence regarding how liquidity provision and market structure affect market efficiency. Using a transformation of the speed of price adjustment and other measurements as proxies for individual stock efficiency, this study may shed further lights on our understanding of market efficiency.

The purpose of this paper is to examine the relation between extreme return correlation and return volatility, in the context of US stock indexes, by detecting clusters of extreme returns using return and volatility thresholds based on an algorithm suggested in Laurini.

The daily returns and conditional volatilities estimated using GARCH (1, 1) serve as inputs to the two threshold algorithm that detects extreme return clusters. The analysis of the relation between correlation and volatility is then based on the extent of overlapping extreme return clusters across DJIA, S&P 500 and NASDAQ composite.

It is found that the correlation positive extreme returns within overlapping clusters significantly increases with volatility between DJIA and S&P 500. The authors did not find any significant change in the pair‐wise correlation between the positive extreme returns within overlapping clusters in each of these indexes with those of NASDAQ composite.

Prior researches examine extreme returns by using a return threshold and have found mixed results on the relation between correlation and volatility. This paper examines the relation between correlation and volatility between clusters of extreme returns and provides consistent results that are of vital interest to investors.

The purpose of the paper is to investigate the price interrelationship between the Taiwanese and US financial markets.

The trivariate GJR‐GARCH (1,1) model and event study were employed to investigate volatility asymmetry and overreaction phenomenon, respectively.

The empirical results show that return volatility reveals the asymmetric phenomenon, and the holding period returns on US index futures from the opening of the US index futures electronic trading to the opening of the Taiwanese stock market are an important reference for investors in the Taiwanese stock market. Additionally, the paper presents an overreaction of the Taiwan Stock Exchange Capitalization Weighted Stock Index to a drastic price rise of E‐min NASDAQ 100 Index futures at the opening of the Taiwanese stock market.

This paper deletes the observations arising from the different national holidays of the USA and Taiwan, to have the same number of observations in both markets, which might contaminate the empirical results.

Investors in the Taiwanese stock market tend to pay more attention to the fluctuations in the share prices of high‐technological companies in the USA.

Most of the previous studies regarding price transmission between the Taiwanese and US stock markets focused mainly on the Taiwanese market reactions to the overnight returns of the US market. This paper enlarges the current field by examining the lead‐lag relationship, the volatility asymmetry, and the overreaction phenomenon between the Taiwanese and US financial markets according to the most updated US stock index information.

To explain the rule changes in Nasdaq’s new Listing Rule IM-5315-1, approved by the US Securities and Exchange Commission (SEC) on February 15, 2019, that permit direct listings on Nasdaq without an initial public offering, similar to the New York Stock Exchange (NYSE) rule changes approved in 2018.

Explains the legislative and regulatory background, historic limitations on direct Nasdaq listings, and de-tailed provisions of Nasdaq’s new Listing Rule IM-5315-1.

The direct listing alternative to an IPO may appeal to cash-rich companies that do not need the publicity or new capital associated with a traditional IPO.

Expert analysis from experienced securities litigation and corporate governance lawyers.

The purpose of this paper is to study short sales trading as part of the New York Stock Exchange (NYSE) batch open and National Association of Securities Dealers Automated Quotations (NASDAQ) opening cross. The paper examines whether short transactions at the open can predict future returns.

The study tests to see if short transactions in the NYSE opening batch trade and NASDAQ opening cross are informative of future returns.

It is found that a stock's opening‐trade short volume is predictive of its short volume for the rest of trading day, positively related to its previous‐day price change, and positively related to its overnight price change at the opening trade on option‐expiration Fridays when the stock is part of the Standard and Poor (S and P) 500 index.

While previous research shows that intraday short sale trades are informative, this is the first paper to examine the opening trade of the day, and whether these short sales are informative.