Intra-industry effects of completed and cancelled cross border acquisitions in Australia: A test of the acquisition probability hypothesis

Globalization has led to an increase in cross-border mergers and acquisitions in recent years. Australian firms have featured prominently as acquisition targets in the latest merger wave. Cross-border acquisitions significantly affect industry dynamics and competitive balance. We investigate the intra-industry effects of cross-border acquisition of Australian firms and find, among others, that the target firms' rivals realized significantly positive abnormal returns following both the acquisition proposal and termination announcements. We relate our results to competing hypotheses and find evidence consistent with the acquisition probability hypothesis. Interestingly, we find that the abnormal returns earned by the rival firms at the time of the termination of the acquisition involving their industry counterparts were greater than the returns earned at the time of the acquisition proposal announcement. These results are consistent with the assertion that the likelihood of acquisition of the rival firms increases following the termination of the initial acquisition proposal involving their industry counterparts.     

Finance,Firm Size,and Growth

Although research shows that financial development accelerates aggregate economic growth, economists have not resolved conflicting theoretical predictions and ongoing policy disputes about the cross‐firm distributional effects of financial development. Using cross‐industry, cross‐country data, the results are consistent with the view that financial development exerts a disproportionately positive effect on small firms. These results have implications for understanding the political economy of financial sector reform.     

Firms' Off-Balance Sheet and Hybrid Debt Financing: Evidence from Their Book-Tax Reporting Differences

We match large U.S. corporations' tax returns during 1989–2001 to their financial statements to construct a firm‐level proxy of firms' use of off‐balance sheet and hybrid debt financing. We find that firms with less favorable prior‐period Standard & Poor's (S&P) bond ratings or higher leverage ratios in comparison to their industry report greater amounts of interest expense on their tax returns than to investors and creditors on their financial statements. These between‐firm results are consistent with credit‐constrained firms using more structured financing arrangements. Our within‐firm tests also suggest that firms use more structured financing arrangements when they enter into contractual loan agreements that provide incentives to manage debt ratings. Specifically, we find that after controlling for S&P bond rating and industry‐adjusted leverage, our sample firms report greater amounts of interest expenses for tax than for financial statement purposes when they enter into performance pricing contracts that use senior debt rating covenants to set interest rates. Furthermore, we find that the greatest book‐tax reporting changes occur when firms become closer to violating these debt rating covenants. These latter findings are consistent with firms' contractual debt covenants influencing their use of off‐balance sheet and hybrid debt financing.     

Hostile bank takeover offers : Analysis and implications

A comparison of the financial characteristics of banks involved in hostile takeover bids with a control group of nonhostile bank mergers indicates: (1) hostile targets experience abnormal returns that are significantly greater than for the targets of nonhostile bank mergers; (2) hostile bidders experience negative abnormal returns that are insignificantly different than for bidders involved in nonhostile bank mergers; (3) hostile bank acquisition announcements produce positive net wealth effects which are larger than the wealth effects of nonhostile acquisitions; (4) a Logit regression model using financial ratios, stock price data, and ownership data is able to distinguish between hostile and nonhostile targets.     

Empirical Evidence on the Value of Group‐Level Financial Information in Insurer Solvency Surveillance

The existing empirical research on insurer insolvency relies almost exclusively upon individual insurance company financial data, even though the insurance industry is dominated by group‐affiliated firms. This is the first study to evaluate the benefit of using group‐level data to predict insurer insolvencies for group‐affiliated insurers. The study uses financial ratios from the NAIC FAST scoring system, measured at both the company level and group level, as potential predictor variables. The results indicate that group‐level financial information substantially improves the predictive power of an insolvency prediction model relative to a model that uses only the analogous company‐level variables. In fact, the group‐level variables are found to often be substantially more powerful than company‐level variables in predicting individual insurer insolvencies. These results suggest that future insolvency analysis should, whenever feasible, include group‐level information to obtain higher predictive accuracy.     

Redistribution and Insurance: Mandatory Annuitization With Mortality Heterogeneity

This article examines the distributional implications of mandatory longevity insurance when mortality heterogeneity exists in the population. Previous research has demonstrated the significant financial redistribution that occurs under alternative annuity programs in the presence of differential mortality across groups. This article embeds that analysis into a life‐cycle framework that allows for an examination of distributional effects on a utility‐adjusted basis. It finds that the degree of redistribution that occurs from the introduction of a mandatory annuity program is substantially lower on a utility‐adjusted basis than when evaluated on a purely financial basis. In a simple life‐cycle model with no bequests, complete annuitization is welfare enhancing even for those with higher‐than‐average expected mortality rates, so long as administrative costs are sufficiently low. These findings have implications for policy toward annuitization, particularly as part of a reformed Social Security system.     

Stock dividends in China: signalling or liquidity explanations?

We test alternative hypotheses on a sample of Chinese stock dividends. The inverse Mills ratio, a signal about future performance, is positively related to announcement returns but does not predict higher future performance. Analysts do not revise their earnings forecasts after the announcement date. Our results are more consistent with liquidity‐based theories. We find that managers choose higher stock dividend ratios if share prices deviate more from the industry‐wide average. Increases in proportional spreads, depth, and the number of trades and decreases in average trade size, and price impact suggest greater participation of liquidity and small investors following stock dividends.     

Predicting Private Company Failures in Italy Using Financial and Non‐financial Information

The study assesses the use of non‐financial information in predicting financial distress in private companies by developing credit risk models tailored to Italian private companies. The in‐sample and out‐of‐sample prediction test results are indicative of the incremental predictive ability of the two new non‐financial variables, that is, number of shareholders and number of subsidiaries, over accounting ratios and other widely used non‐financial information, including firm age and industry dummies. To be more specific, number of shareholders and number of subsidiaries are negatively associated with private company failures, and the models augmented by the two non‐financial variables improve forecasting performance from acceptable discrimination to excellent discrimination over one‐ to three‐year time horizons.     

Information Risk and Fair Values: An Examination of Equity Betas

Using a sample of U.S. financial institutions, we exploit recent mandatory disclosures of financial instruments designated as fair value level 1, 2, and 3 to test whether greater information risk in financial instrument fair values leads to higher cost of capital. We derive an empirical model allowing asset‐specific estimates of implied betas, and find evidence that firms with greater exposure to level 3 financial assets exhibit higher betas relative to those designated as level 1 or level 2. We further find that this difference in implied betas across fair value designations is more pronounced for firms with ex ante lower‐quality information environments: firms with lower analyst following, lower market capitalization, higher analyst forecast errors, or higher analyst forecast dispersion. Overall, the results are consistent with a higher cost of capital for more opaque financial assets, but also suggest that differences in firms' information environments can mitigate information risk across the fair value designations.     

Double Entry Bookkeeping and the Distributional Properties of a Firm's Financial Ratios

Our purpose here is to assess whether the innate properties of the double entry bookkeeping system are such that financial ratios, calculated from the balance sheet summary measures implied by it, will be generated by distributional forms with non‐convergent moments. Our analysis begins with a brief summary of some important analytical properties of the debt and equity components of the double entry bookkeeping system. We then use these to determine the time series and distributional properties of the debt to equity ratio itself. Our analysis shows that even when the evolution of balance sheet summary measures like debt and equity can be described by 'well behaved' distributional processes, there is a distinct possibility that ratios derived from them will evolve in terms of distributional forms with non‐convergent moments. We argue that this has serious implications for parameter estimation as well as the integrity of the regression and/or discriminant procedures which underscore bankruptcy and financial distress prediction models based on financial ratios derived from the double entry bookkeeping system.     

Auditors' Response to Political Connections and Cronyism in Malaysia

This paper extends the literature on the role of political economy in financial reporting and auditing by testing two hypotheses. The first hypothesis predicts that there will be a greater increase in audit effort and audit fees for Malaysian firms with political connections, as a result of the Asian financial crisis, than for non‐politically connected firms because these firms have a higher risk of financial misstatements. The second hypothesis predicts that the audit fees of politically connected firms will decline when capital controls are introduced by the government as a ploy to financially assist politically connected firms to rebound from the crisis, and thus reduces the risk of financial misstatements. The results show that there is a greater increase in audit fees for firms with political connections than for non‐politically connected firms as a result of the Asian financial crisis. However, there is a decline in audit fees for politically connected firms after the capital controls are implemented.     

The Aggregate and Distributional Effects of Financial Globalization: Evidence from Macro and Sectoral Data

We take a fresh look at the aggregate and distributional effects of policies to liberalize international capital flows—financial globalization. Both country‐ and industry‐level results suggest that such policies have led on average to limited output gains while contributing to significant increases in inequality. The country‐level results are based on 228 capital account liberalization episodes spanning 149 advanced and developing economies from 1970 to the present. Difference‐in‐difference estimation using industry‐level data for 23 advanced economies suggests that liberalization episodes reduce the share of labor income, particularly for industries with higher external financial dependence, higher natural propensity to use layoffs to adjust to idiosyncratic shocks, and higher elasticity of substitution between capital and labor.     

Financial Structure,Acquisition Opportunities,and Firm Locations

This paper investigates the relation between firms' locations and their corporate finance decisions. We develop a model where being located within an industry cluster increases opportunities to make acquisitions, and to facilitate those acquisitions, firms within clusters maintain more financial slack. Consistent with our model we find that firms located within industry clusters make more acquisitions, and have lower debt ratios and larger cash balances than their industry peers located outside clusters. We also document that firms in high‐tech cities and growing cities maintain more financial slack. Overall, the evidence suggests that growth opportunities influence firms' financial decisions.     

The Influence of Country,Industry, and Topic Factors on IFRS Policy Choice

This paper proposes a framework for understanding management's decision‐making on observable accounting policy choices. The framework is used to hypothesize how country, industry, and topic factors influence policy choice under International Financial Reporting Standards (IFRS). The hypotheses are tested on the choices made by the largest firms from 10 jurisdictions on a comprehensive set of IFRS policy topics, which are hand‐collected from the financial statements. The results are consistent with the framework: country factors are particularly influential when the choice does not affect an important accounting number; and industry and topic factors influence the choice on some topics. Overall, we find that country factors have the greatest influence on IFRS policy choice.     

Organizational Structure and Performance: Evidence From the Nonlife Insurance Industry in Japan

This study examines the impact of organizational structure on firm performance, incentive problems, and financial decisions in the Japanese nonlife (property‐casualty) insurance industry. Stock companies that belong to one of six horizontal keiretsu groups have lower expenses and lower levels of free cash flow than independent stock and mutual insurance companies. Keiretsu insurers also have higher profitability and higher loss ratios than independent insurers. With a limited sample size, there is some evidence that mutual insurers have higher levels of free cash flows, higher investment incomes, and lower financial leverage than their stock counterparts. Overall, empirical evidence suggests that each structure has its own comparative advantage.     

Stockholder returns and international acquisitions of financial firms: An emphasis on banking

The wealth effects for shareholders of American financial firms involved in foreign acquisitions and also the wealth effects for shareholders of U.S. target firms acquired by foreign concerns are the topics of this study. The findings indicate that stockholders of U.S. bidding financial firms (and its subset of banks) earn neither abnormal gains nor suffer abnormal losses upon the announcement of an acquisition or regulatory approval. On the other hand, stockholders of U.S. target financial firms (and its subset of banks) earn significant abnormal profits at both the announcement of the proposed acquisition and the announcement of regulatory approval of the acquisition. The wealth effects for these two samples are also compared to samples in which both parties to the acquisition are U.S. firms. The research suggests that there is no significant difference in the size of the announcement gains or losses for either stockholders of the target or bidding firms based on whether the acquisition is foreign or domestic. These findings conflict with prior research which indicates that, for firms in general, stockholders of U.S. targets earn significantly greater wealth benefits when they are acquired by foreign firms than by domestic firms. Overall, these results are consistent with a competitive market for acquisitions of financial firms in which buyers do not earn or lose at the announcement of an acquisition, and in which abnormal gains are received only by the sellers.     

What's My Line? A Comparison of Industry Classification Schemes for Capital Market Research

This study compares four broadly available industry classification schemes in a variety of applications common to capital market research. Standard Industrial Classification (SIC) codes have been available since 1939 but are being replaced by North American Industry Classification System (NAICS) codes. The Global Industry Classifications Standard (GICS)^SM system, jointly developed by Standard & Poor's and Morgan Stanley Capital International (MSCI), is popular among financial practitioners, whereas the Fama and French [1997] algorithm is used primarily by academics. Our results show that GICS classifications are significantly better at explaining stock return comovements, as well as cross‐sectional variations in valuation multiples, forecasted and realized growth rates, research and development expenditures, and various key financial ratios. The GICS advantage is consistent from year to year and is most pronounced among large firms. The other three methods differ little from each other in most applications.     

Before an Analyst Becomes an Analyst: Does Industry Experience Matter?

Using hand‐collected biographical information on financial analysts from 1983 to 2011, we find that analysts making forecasts on firms in industries related to their preanalyst experience have better forecast accuracy, evoke stronger market reactions to earning revisions, and are more likely to be named Institutional Investor all‐stars. Plausibly exogenous losses of analysts with related industry experience have real financial market implications—changes in firms’ information asymmetry and price reactions are significantly larger than those of other analysts. Overall, industry expertise acquired from preanalyst work experience is valuable to analysts, consistent with the emphasis placed on their industry knowledge by institutional investors.     

Sources of Capital Market Segmentation: Empirical Evidence from Finland

Because Finland has experienced profound economic changes and financial deregulation since the mid‐1980s, we use it as a laboratory to explore issues related to time‐varying global equity market integration. Using a Finnish perspective, we construct two different portfolios of Finnish firms and a conditional one‐factor international asset pricing model. We examine whether the segmentation varies over time and across assets. We use time‐series variables for changing market integration (lagged foreign equity ownership, difference between Finnish and German short‐term interest rates, and a portfolio‐specific liquidity measure) and crosssectional variables (size and book‐to‐market ratios and industry sector) to show variation in integration.     

THE CHOICE BETWEEN CALLABLE AND NONCALLABLE BONDS

We examine the choice and the offer spreads between callable and noncallable bonds. We find significant differences by industry sector and therefore segment our results by financial and nonfinancial industries. For the financial sector, the popularity of callable and noncallable bonds is significantly related to the economic environment. Financial and high‐grade nonfinancial callable bonds are also more likely to be issued via a shelf prospectus. Although firms that issue callable bonds do not consistently display the characteristics associated with severe agency problems, the issue choice for below‐investment‐grade nonfinancial and lower rated financial bonds, where we can expect agency problems to be more severe, is more consistent with agency theory than is the issue choice for higher rated bonds.