Delineating Publicly Listed Family and Nonfamily Controlled Firms: An Approach for Capital Market Research in Australia*

Recent capital market research evidence suggests that a large proportion of public companies worldwide are characterized by controlling stockholders who are more often families, usually the founder(s) or their descendants. There has been considerable debate on whether “family” firms can indeed be accurately delineated from nonfamily firms given the diversity and abundance of family business definitions in the literature. This paper provides a robust definition of family business for the purposes of capital market research. Using an accounting‐based definition of family business, the paper outlines a four‐step procedure that provides validation for identifying family controlled companies listed on the Australian Stock Exchange. A significant feature of the research methodology was reliance on data collected from the Australian Securities and Investments Commission. Having access to the corporate regulator's restricted data enabled the researchers to establish important links between directors and their private related entities.     

Incrementality of SME Loan Guarantees

In many countries, loan guarantee programs are important elements of government policy with respect to small- and medium-sized enterprises (SMEs). If loan guarantee schemes are to be effective, a majority of firms obtaining assistance through such a scheme ought not to be able to obtain financing from existing sources: a property known as incrementality or additionality. This paper describes a new approach to measuring incrementality. This work uses a two-stage process to estimate the incrementality of loans made under the terms of the Canada Small Business Financing (CSBF) program. First, a logistic regression-based model of loan outcomes (essentially a credit-scoring model) is estimated based on a large representative sample of SMEs. The resulting model was consistent with prior expectations and exhibited high levels of goodness-of-fit. The model was then employed to classify a sample of firms that had received loans under the terms of the loan guarantee scheme. Incremental loans ought to be classified as “turndowns” by the model; hence the proportion of loan guarantee recipients that the model classified as turndowns is a direct measure of incrementality. For the CSBF loan guarantee program incrementality was estimated (with 95% confidence) as 74.8±9.0%.     

Government Public Policy, Regulatory Intervention, and Their Impact on IPO Underpricing: The Case of Malaysian IPOs

This study examines the impact of government initial public offering (IPO) regulation intending on promoting public policy. The study examines the results of the implementation of a Malaysian government policy in 1976, which mandated that at least 30 percent of any new shares on an IPO offer be sold to the indigenous Bumiputera population or to mutual funds owned by them. The study examined the short-run and long-run underpricing of Malaysian IPOs and found that Malaysian IPOs are highly underpriced compared to IPOs in developing countries, creating a market microstructure effect. It also confirmed that the Malaysian government's regulatory intervention in spite of noble public policy intentions appeared to be the significant factor for the emergence of an average first-day underpricing increase of Malaysian IPOs by 61 percent during the period after the regulatory economic policy was instituted. Furthermore, the study found that this high underpricing persists even for the long run, in contrast to the long-run performance of IPOs in the United States.     

Extending the BG/NBD: A simple model of purchases and complaints

Extant customer-base models like the beta geometric/negative binomial distribution (BG/NBD) predict future purchasing based on customers' observed purchase history. We extend the BG/NBD by adding an important non-transactional element that also drives future purchases: complaint history. Our model retains several desirable properties of the BG/NBD: it can be implemented in readily available software, and estimation requires only customer-specific statistics, rather than detailed transaction-sequence data. The likelihood function is closed-form, and managerially relevant metrics are obtained by drawing from beta and gamma densities and transforming these draws to a sample average. Based on more than two years of individual-level data from a major U.S. internet and catalog retailer, our model with complaints outperforms both the original BG/NBD and a modified version. Even though complaints are rare and non-transactional events, they lead to different substantive insights about customer purchasing and drop-out: customers purchase faster but also drop out much faster. Furthermore, there is more heterogeneity in drop-out rates following a purchase than a complaint.     

Pricing dynamics in US fresh produce channels: new empirical evidence

Despite many valuable contributions, prior research has not completely explained retail pricing behavior. This study employs scanner data for 36 fresh produce items analyzing the relationship between costs of goods sold and retail prices to provide further insight into retail pricing behavior. Implications include: (1) where ‘natural’ variation in produce prices do not already exist from the supplier, retailers appear to introduce the variation themselves, independent from shipping point price; and (2) to the extent that supplier-retailer contracts for fresh produce develop, the resulting stabilizing influence on costs may have the preserve effect of increasing retail price variability to consumers.     

宏观审慎政策:选择什么目标,需要什么工具

包括逆周期性资本比率、动态准备金、贷款价值比率、资本管制等在内的现有宏观审慎政策工具,分别有不同的效果及其局限性,而且宏观审慎政策的有效实施需要与货币政策、财政政策协调配合。因此,采取谨慎还是积极的政策框架取决于理论研究和政策试验的结果。     

The impact of corporate social responsibility on investment recommendations: Analysts' perceptions and shifting institutional logics

We explore the impact of corporate social responsibility (CSR) ratings on sell‐side analysts' assessments of firms' future financial performance. We suggest that when analysts perceive CSR as an agency cost they produce pessimistic recommendations for firms with high CSR ratings. Moreover, we theorize that, over time, the emergence of a stakeholder focus shifts the analysts' perceptions of CSR. Using a large sample of publicly traded U.S. firms over 15 years, we confirm that, in the early 1990s, analysts issue more pessimistic recommendations for firms with high CSR ratings. However, analysts progressively assess these firms more optimistically over time. Furthermore, we find that analysts of highest status are the first to shift the relation between CSR ratings and investment recommendation optimism. Copyright © 2014 John Wiley & Sons, Ltd.