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This paper aims to test the extent to which downward bias due to a floating-point exception in probability of informed trading (PIN) estimates obtained using the Easley, Hvidkjaer and O’Hara (EHO; 2002) method is remedied using the Yan and Zhang (YZ; 2012) method. The paper also aims to test the sample-size sensitivity of EHO PIN and identify PIN determinants for acquirers and targets in the biotech sector.

EHO and YZ PIN performances are compared for US biotech acquirers and targets around their mergers and acquisition (M&A) announcements. The sampling method of Kryzanowski and Lazrak (2007) is used to assess sample-size sensitivity of announcement window EHO PIN estimates. Cross-sectional regressions are estimated to identify PIN determinants.

EHO and YZ PIN are not significantly different. EHO PIN exhibits significant sample-size sensitivity. Information leakage prior to M&A announcements is strongly affected by some firm characteristics. Significant determinants of PIN behavior around M&A announcements include insider and institutional holdings and research and development (R&D) expense.

Findings imply that PIN partially reflects the activities of insiders and other informed investors about takeover intentions. Subsequent research can examine PIN behavior around pre-announcement rumors for M&As in the same or other industries and for potential targets that are peers of the M&A targets.

This paper contributes to the ongoing debate in the empirical finance literature on whether PIN measures informed trading by examining its behavior and the importance of some methodological issues associated with its use in examining market behavior around M&A announcements.

Prior research has documented inconclusive and/or mixed empirical evidence on the timing performance of hybrid funds. Their performance inferences generally do not efficiently control for fixed-income exposure, conditioning information, and cross-correlations in fund returns. This study examines the stock and bond timing performances of hybrid funds while controlling and accounting for these important issues. It also discusses the inferential implications of using alternative bootstrap resampling approaches.

We examine the stock and bond timing performances of hybrid funds using (un)conditional multi-factor benchmark models with robust estimation inferences. We also rely on the block bootstrap method to account for cross-correlations in fund returns and to separate the effects of luck or sampling variation from manager skill.

We find that the timing performance of portfolios of funds is neutral and sensitive to controlling for fixed-income exposures and choice of the timing measurement model. The block-bootstrap analyses of funds in the tails of the distributions of stock timing performances suggest that sampling variation explains the underperformance of extreme left tail funds and confirms the good and bad luck in the bond timing management of tail funds. We report inference changes based on whether the Kosowski et al. or the Fama and French bootstrap approach is used.

This study provides extensive and robust evidence on the stock and bond timing performances of hybrid funds and their sensitivity based on (un)conditional linear multi-factor benchmark models. It examines the timing performances in the extreme tails funds using the block bootstrap method to efficiently identify (un)skilled fund managers. It also highlights the sensitivity of inferences to the choice of testing methodology.

This paper aims to analyze the impact of price-limit hits by hit type and when such hits start and stop using intraday trades and quotes at a one-second frequency for firms included in the BIST-50 index during the 13-months starting with March 2008. Like the recent COVID-19 period, this period includes the heightened stress in global financial markets in September 2008.

Using intra-day trades and quotes at a one-second frequency, the authors examine the market effects of price limits for firms included in the BIST-50 index during the global financial crisis. The authors compare the values of various metrics for 60 min centered on price-limit hit periods. The authors conduct robustness tests using auto regressive integrated moving average (ARIMA) models with trade-by-trade and with 3-min returns.

The findings are supportive of the following hypotheses: magnet price effects, greater informational asymmetric effects of market quality and each version of price discovery. Results are robust using samples differentiated by cross-listed status, same-day quotes instead of transaction prices and equidistant and trade-by-trade returns.

The authors use intraday data to reduce measurement error that is particularly pronounced when daily data are used to assess price limits that start and/or stop during a trading session. The authors contribute to the micro-structure literature by using ARIMA models with trade-by-trade and 3-min returns to alleviate some bias due to the autocorrelations in returns around price-limit hits in the presence of a magnet effect. The authors include some recent regulation changes in various countries to illustrate the importance of circuit breakers using price limits during COVID-19.

The purpose of this paper is to critically review the relevant literature from the perspective of dual-class firms and to provide suggestions for future research on dual-class firms, and on methodological issues that should be addressed in such research.

The research design consists of three parts: an introduction to dual-class firms (motivations for; firm life cycle effects) in Part 1; concerns with firms with such share class structures (valuation; governance; accounting and corporate policy issues) in Part 2; and some solutions or ways to accommodate the trade-offs involved with such share class structures (retention arguments; index/exchange exclusions; contractual provisions; external monitoring) in Part 3. Throughout the paper, the authors provide some critiques of existing studies, particularly from a methodological perspective, the authors’ opinion on the state of the literature and suggestions for future areas of research.

While motivations for the use of dual-class voting structures include flexibility so that the idiosyncratic vision of their entrepreneurs/founders can be pursued in a less encumbered fashion, greater innovation and long-term managerial orientation, there are many possible costs (e.g. underinvestment and managerial entrenchment) to this ownership structure. Nevertheless, the authors believe that such firms should have provisions in place that facilitate a reversion to a single-class structure longer term when such firms have become more mature, less dependent on the idiosyncratic vision of the entrepreneurs/founders at IPO and have attracted more managerial talent.

The literature arrives at no consensus on the benefits/drawbacks of this type of share ownership structure which means that many topics of research require further academic examination. The authors provide suggested directions for such future enquiries.

The purpose of this paper is to test if relative asset purchase values (RAPVs) differ between single- and dual-class purchasers (not) differentiated by family ownership for Canadian firms.

The paper uses multivariate regressions and 2SLS estimations of simultaneous equations models with both continuous and dichotomous endogenous variables. Data on share structures and family involvements are hand collected.

RAPVs for dual-class purchasers are significantly different (larger) than their single-class counterparts only for family-controlled samples. Larger RAPVs for dual-class purchases are associated with higher degrees of dual-class structures, higher family ownerships and with boards with no more than one family member.

RAPV is important because of its common use as a primary determinant of the wealth effects of M&As, its use as an exchange-rate proxy in two-stage regressions used to determine the amount of abnormal returns attributable to short selling activity around M&A announcements, and its use as a channel for conveying information about deal complexity, seller’s bargaining power, additional monitoring benefits from purchase and/or greater challenges in incorporating a purchase into existing assets. Larger sample size would facilitate more differentiated examinations.

Findings imply that dual-class share structures assist family shareholders in elevating their control over corporate decisions involving asset purchases.

This paper furthers the authors’ knowledge about the effects of agency issues on corporate decisions.

It provides an extension and robustness test of the US evidence for asset purchases by providing evidence for Canada given its greater preponderance of families as the ultimate controlling shareholders, restricted or subordinated voting shares issued and pyramidal structures.

The purpose of this paper is to review the relevant literature on the causes of and regulatory reactions to the financial crisis of the last decade, popularly known as the “Global Financial Crisis (GFC)” or the “Housing Crisis” in the USA.

This review primarily focuses on the four main causes of the crisis, namely, excessive household leverage, securitization, corporate governance and credit ratings. The main reaction vis-à-vis recovery measures taken by most governments were quantitative easing (QE), bailouts and more stringent regulations of banks, though the discussion mainly focuses on QE.

In this paper, the authors summarize the literature on the causes and regulatory reactions to the GFC and propose future avenues of research for various topics.

Research on the GFC spans multiple disciplines as well as multiple facets of financial economics. A review paper such as this should help future researchers in generating ideas and gathering information for their research. Given that no review uncovers all worthy papers, the authors apologize in advance to the authors of any papers that the authors have inadvertently not reviewed in this paper.

The purpose of this paper is to assess the market impact of announcements that publicly traded limited liability firms would convert to business income trusts, and to test the robustness of the tax motive as the primary determinant of any conversion announcement effects by estimating the market impact of the announcement by the Canadian Federal Government that the corporate income of Canadian income trusts would be taxed at the trust level.

Event‐study methodology (including various tests of robustness) is used to examine the market impacts of the initial conversion announcement and the announcement that the corporate income of Canadian income trusts would be taxed at the trust level. Cross‐sectional regressions are used to identify the determinants of the market effect associated with income trust conversion announcements.

The paper finds that the market‐ and risk‐adjusted abnormal returns (ARs) are positive and very significant on the announcement dates and not significant on the conversion effective dates. The price discovery process is not as smooth for the Canadian government's announcement after the market close on Halloween day 2006, that it would tax income trusts at the trust level. While the ARs are negative and very significant on the first and second trading days after the announcement, much of the second day ARs are reversed in the subsequent two days. Furthermore, negative and significant ARs precede the government announcement. The market impact of trust conversion announcements is primarily related to the tax savings associated with such conversions and more weakly related to potential agency problems associated with free cash flows.

The research indicates the importance of any taxation changes associated with changes in organization form on firm value. It also identifies the potential for informational leakage associated with government decisions.

The paper highlights the importance of taxes and tax changes and organization form changes on firm valuation.

Most of the credit spread literature deals with the determinants of credit spread changes for individual bonds. The purpose of this paper is to investigate the explanatory power of credit spread changes and their determinants for portfolios.

Using ordinary least squares (OLS) regressions and monthly data from 1990 to 1997, this paper tests several new potential determinants (e.g. portfolio diversification) and expectations (and realizations) for some previously identified determinants (e.g. gross domestic product (GDP)) of credit spread changes for portfolios of financials as derived from spot curves.

Strong empirical support is reported that default risk and undiversified risk are priced in credit spreads. The paper finds that forecasts for GDP and inflation are better determinants of credit spread changes than the realized values previously used in the literature, which is consistent with the notion that term structures convey expectations about future interest rates.

Interesting issues for future research include the sensitivity of the results to the use of other procedures for deriving zero‐coupon spot rates, and whether forecasts of macrovariables (such as GDP) are better determinants of credit spreads for other industrial categories, such as utilities and industrials.

The findings provide guidance for the management of risk for fixed income portfolios, for the pricing of fixed income securities differentiated by the difficulties encountered in achieving well‐diversified portfolios, and for assessing the performance of credit spread portfolios managed by financial institutions.

The empirical model, which achieves substantial explanatory power while being parsimonious, is the first to support the usage of forecasts instead of realized values in determining credit spreads, and to show that undiversifiable risk is an important component of the credit spreads of portfolios.

Researchers have proposed characteristics‐based pricing models as an alternative to risk‐based pricing models. While supported empirically, these characteristic‐based models lack theoretical support. This paper seeks to reformulate an asset‐pricing model (RAPM) to demonstrate why firm characteristics help to explain stock returns.

The RAPM is grounded in an economic setting where two groups of agents hold different beliefs about firm fundamental values, and the more sophisticated group (rationals) adopts contrarian strategies against the naïve group (quasis). The model is derived in a static equilibrium within the consumption‐investment framework with heterogeneous agents.

The key theoretical result is a parsimonious equation of cross‐sectional expected returns that not only are specified by the traditional risk‐return relation, but also are determined by contrarian adjustments at both market‐wide and firm‐specific levels. When the model is taken to empirical specifications, it leads to consistent explanations for the behaviors of growth and value stocks, and for size and book‐to‐market effects.

The RAPM is a one‐period model that assumes that “rationals” have perfect knowledge about “quasis” sentiment parameter and their relative market weights. In future research, it is planned to extend this static model to multiple periods to incorporate a learning process by which “rationals” learn these parameters over time.

The RAPM clearly identifies four criteria for implementing arbitrage opportunities in investments. These criteria formalize the common practices in the mutual/hedge fund industry.

The paper develops an original framework that formally supports the characteristics‐based models. It offers insights for researchers in behavioral finance and guidelines for investment practitioners.

The purpose of this paper is to study the impact of cross‐listing and cross‐listing location on the terms of the private debt of firms not located in the USA. Specifically, the paper examines the empirical relationship between three syndicated loan terms (pricing, maturity and amount) at loan initiation and the cross‐listed status of the borrower (cross‐listed in the USA, UK, through depository receipts or not at all), while (not) differentiating between the stage of economic development of the borrower's home country.

The three loan terms are modeled as a simultaneous system of equations and are estimated on a very extensive sample of 3,883 observations. The impact of endogeneity biases due to the sequential choices to and where to cross‐list are examined using the inverse Mill's ratios from a bivariate probit model.

All else held equal, foreign borrowers that are cross‐listed directly in the UK obtain loans with higher spreads, longer maturities and larger loan amounts if they are from economically developed countries. Borrowers from emerging economies pay lower spreads but receive shorter maturities on syndicated loans if cross‐listed in the UK. Cross‐listings in the USA are not associated with any significant differential impacts on the three loan terms.

This paper makes an important contribution to the cross‐listing and capital structure literatures by providing evidence that the net benefit from being cross‐listed for one debt component of the cost of capital (i.e. syndicated loans) depends on the listing destination and upon whether or not the borrower is from an emerging economy. The paper provides practical guidance to corporate financial officers on the benefits of international cross‐listing and the choice of cross‐listing venues on the terms of private debt issues.