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The purpose of this paper is to investigate factors influencing the underwriting discount for US Real Estate Investment Trust (REIT) Seasoned Equity Offerings (SEOs).

The study provides new evidence on determinants of underwriting discounts with a comprehensive dataset of 783 US REIT SEOs from 1996 until June 2010. Ordinary least squares regressions are performed to estimate the effect of the level of representative underwriting along with other potential factors on underwriting discounts.

The study complements the well‐documented notion of the economies of scale in SEO underwriting discounts. The equally (value) weighted underwriting discounts averaged 4.21 per cent (4.10 per cent) with a declining trend over time. The findings of this study show the statistically and economically significant negative effect of the level of representative underwriting on the underwriting discounts, as well as the significance of the structure of underwriting syndicate in determining the underwriting discounts. The findings suggest that issuers can minimize the costs of raising secondary equity capital by optimally allocating the underwriting business among the underwriters.

This paper adds to the international REIT SEO literature by exploring new evidence behind underwriting discounts. The study includes data before and after the REIT Modernization Act 1999 and during the recent global financial crisis period.

This paper aims to analyse the causes and impact of the significant mean price discounts (25 per cent for financial and 29 per cent for non-financial firms) in rights issues in the UK using a sample of 268 observations for the period of 1994 to 2012. It is observed that for non-financial companies, the issue terms announcement returns are negatively affected by the discount size, while firm size, growth prospects and good previous stock performance have a positive impact. It is also investigated which factors seem to influence managers to engage in deeper discounts when these are so disliked by investors. Evidence is provided that firms with more leverage, larger bid-ask spreads or suffering losses tend to choose deeper discounts. The authors conclude that managers balance the expected negative reaction of the market to a price discount with the risks of a costly issue failure, with these being higher when the firm experiences losses, has a higher volatility and also when the stock market climate is more adverse.

The analysis is divided in two stages. In a first step (thereafter pre-announcement), the authors evaluate the firm’s and market conditions that determine the price discount. In a second stage (post-announcement), the authors measure the market reaction to the rights issues announcement by calculating the abnormal announcement returns by cumulating the difference between daily returns (R) and expected market returns (ER) for the period of −2 to 2 relative to the announcement day.

The authors document that price discounts in right issues for non-financial and financial firms are determined by a set of firm-characteristics and market sentiment. They also bring evidence that price discounts are not arbitrarily determined by firm managers.

The results are consistent with the idea that despite the negative signal to investors conveyed by a significant price discount in the new shares, managers of non-financial companies still engage in substantially price-cutting.

This is the first REIT paper to seek to empirically examine potential influencing factors on the discounts and underwriting fees of Australian REIT rights issues.

Using a methodology similar to Owen and Suchard, and Armitage, a sample of 62 A‐REIT rights issues during 2001‐2009 is analyzed. A variety of potential factors influencing discounts and underwriting fees are explored.

Over A$20 billion was raised by A‐REIT rights issues during 2001‐2009 (this around three times that raised through A‐REIT initial public offerings during the same period). The mean offer price was discounted around 9.5 percent from the current market price and underwriting fees averaged 2.9 percent of gross proceeds raised – both substantially less than for industrial rights issues. The standard deviation of daily returns for the past year appears to influence the percentage discount offered to subscribers. This volatility was particularly noticeable in 2008 and 2009, during the global financial crisis, where new issues were discounted substantially so as to raise equity to repay debt. This historical risk variable appears paramount in determining the discounts to subscribers and fees to underwriters.

A‐REITs seeking to minimize the discounts offered to subscribers and to minimize their underwriting costs with rights issue equity capital raisings must first minimize their share price volatility.

This paper adds to the international costs of capital raising literature of REITs by examining such costs with A‐REIT rights issues and is the first paper to examine factors influencing these costs.

The purpose of this paper is to explore the reasons for the high‐frequency switches of lead underwriters by Chinese listed companies in their seasoned equity offerings. It contributes to the literature by filling the gap and providing evidence that institutional and non‐market factors could affect listed companies' decisions to switch their lead underwriters in the Chinese capital market.

This paper employs a numerical measure of listed companies' loyalty to evaluate their frequency of switching lead underwriters, and employs a Logit model and an OLS model to identify the key determinants of switching lead underwriters by Chinese listed companies.

It is observed that the frequency of switching lead underwriters is very high among Chinese listed companies for their seasoned offerings. It is also found that underwriters' deficient reputation and the lack of industrial experience, together with the depreciation of relationship‐specific assets, could have important impacts on lead underwriters being frequently switched in China. Besides, the frequent switches of lead underwriters could also be attributable to the non‐market supervision and regulatory influences by Chinese authorities over the security underwriting market.

This paper could help further the understanding of the factors that could explain the listed companies' frequent switches of their lead underwriters for their seasoned offerings in China. In addition, this paper has policy implications on how to improve the listed companies' loyalty for regulators in China. These implications could help improve the regulatory environment and promote the overall performance of the Chinese security underwriting market.

As part of the process of raising funds in the United States' public equity markets, chief financial officers are invariably confronted with a somewhat arcane part of the underwriting mechanism known as the “Green Shoe” option.

The purpose of this paper is to describe the background and reasoning behind the June 18, 2007 US Supreme Court decision in Credit Suisse Securities (USA) v. Billing et al.

The paper explains the US District Court for the Southern District of New York's dismissal of two antitrust class action lawsuits filed against a group of investment banks in 2002, the reversal by the US Court of Appeals for the Second Circuit in 2005, and the Supreme Court's rejection of the Second Circuit's analysis in 2007.

The Court found that, due to the specialized knowledge required to parse the SEC's rules and distinguish permissible from prohibited conduct, there was a “serious risk” that antitrust courts would produce inconsistent results. The Court also expressed a concern that allowing antitrust claims here would weaken the heightened pleading requirements in the Private Securities Litigation Reform Act, which Congress passed to weed out “umeritorious securities lawsuits.”

The decision undoubtedly will have important implications regarding the extent to which the antitrust laws may be applied to other conduct regulated by the securities laws, or in the context of other regulated industries.

The paper provides practical interpretation and guidance by experienced securities lawyers.

During 2003, compensation practices for the retail sale of mutual funds came under fire. Recent revelations about failures in the processing of mutual fund breakpoints had triggered a more in‐depth investigation into mutual fund marketing and compensation practice by securities regulators, Congress, and the states. This article focuses on the regulation of sales compensation practices primarily as it affects a broker‐dealer selling mutual funds in the retail market. It addresses the regulatory framework for three key compensation practices: (1) the use of non‐cash compensation in connection with mutual fund sales; (2) marketing and compensation arrangements providing enhanced compensation to a selling firm as well as to its sales representatives for the promotion of certain fund securities over others, such as proprietary funds over non‐proprietary funds, preferred funds over non‐preferred funds, and Class B shares over Class A shares; and (3) the use of commissions for mutual fund portfolio trades as an additional source of selling compensation for selling firms, a practice sometimes referred to as ”directed brokerage.“

This article analyses documents before the Radcliffe Committee on the Working of the Monetary System. The proceedings of the Radcliffe Committee are recognised as providing a watershed in the history of monetary thought, particularly as pertains to the propositions of post‐Keynesian monetary economics. These propositions, recently detailed in two books (Rousseas, 1968; Moore, 1987), can be summarised as follows:

Building a Web‐based e‐library may be the most important thing a library ever does. An important role for librarians in all types of libraries is the planning and/or building of Web‐based e‐libraries. Offers a practical discussion of developing and implementing a collection plan for building Web‐based e‐libraries. The starting point for developing any collection plan is an assessment of the function of and need for an information collection and the audience it will serve. Discusses some guidelines and practical strategies on where and how to find, identify, evaluate and select appropriate Web‐based information resources. Focuses on Web‐based information resources rather than other electronic information resources such as CD‐ROM or fee‐based databases that have been discussed extensively in recent literature.

Both issuing firms and underwriters shall benefit from the associations in underwriting contracts for seasoned equity offerings (SEOs). Issuing firms that are offered underwriting contracts with clustered gross spreads do not have strong incentives to switch away from the firms' prior SEO underwriters, and thus these existing underwriters are able to maintain or gain greater market share. This study investigates how the clustering of percentage gross spreads affects the likelihood of underwriter switching.

Using the investment bank-underwritten SEOs in Hong Kong, the authors find that the percentage gross spreads of 40% of these SEOs are clustered at 2.5%. The seemingly unrelated bivariate probit model, Weibull survival mixed model and trivariate probit model are applied to analyse this phenomenon.

The authors' study provides first direct evidence that the clustering of percentage gross spreads lowers the likelihood of underwriter switching. Investment banks as underwriters can explicitly price underwriting contracts at a clustered level, more likely in periods of greater market volatility, and intentionally retain the banks' client firms using pricing arrangements. The authors' finding and approach offer more direct and distinct support that the issuer–underwriter association can be relationship-based.

Whilst the clustering of fees is interpreted as a type of anticompetitive price sitting, the authors contribute to literature by providing new empirical evidence on why percentage gross spreads as a price dimension are clustered. On top of contract efficiency and collusion, this study's new evidence provides a third view for the clustering of gross spreads.