Machine Learning and Expert Judgement: Analyzing Emerging Topics in Accounting and Finance Research in the Asia–Pacific

In this paper, we focus on the question to what extent machine learning (ML) tools can be used to support systematic literature reviews. We apply a ML approach for topic detection to analyze emerging topics in the literature—our context is accounting and finance research in the Asia–Pacific region. To evaluate the robustness of the approach, we compare findings from the automated ML approach with the results from a manual analysis of the literature. The automated approach uses a keyword algorithm detection mechanism whereby the manual analysis uses common techniques for qualitative data analysis, that is, triangulation between researchers (expert judgement). From our paper, we conclude that both methods have strengths and weaknesses. The automated analysis works well for large corpora of text and provides a very standardized and non-biased way of analyzing the literature. However, the human researcher is potentially better equipped to evaluate current issues and future trends in the literature. Overall, the best results might be achieved when a variety of tools are used together.     

A comparison of buy‐side and sell‐side analysts

There is very little research on the topic of buy-side analyst performance, and that which does exist yields mixed results. We use a large sample from both the buy-side and the sell-side and report several new results. First, while the contemporaneous returns to portfolios based on sell-side recommendations are positive, the returns for buy-side analysts, proxied by changes in institutional holdings, are negative. Second, the buy-side analysts' underperformance is accentuated when they trade against sell-side analysts' recommendations. Third, abnormal returns positively relate to both the portfolio size and the portfolio turnover of buy-side analysts' institutions, suggesting that large institutions employ superior analysts and that superior analysts frequently change their recommendations. Abnormal returns are also positively related to buy-side portfolios with stocks that have higher analyst coverage, greater institutional holding, and lower earnings forecast dispersion. Fourth, there is substantial persistence in buy-side performance, but even the top decile performs poorly. These findings suggest that sell-side analysts still outperform buy-side analysts despite the severe conflicts of interest documented in the literature.     

Reexamining momentum profits: Underreaction or overreaction to firm-specific information?

We design a new measure and find that the predictability of past returns on future returns increases as stocks respond with delay to firm-specific information. Our results suggest that momentum is caused by both investors’ underreaction and overreaction to information. However, underreaction to information seems to be the primary cause, particularly during the more recent period. Our findings are robust for recent explanations of momentum profits and alternative methods for computing our measure. We also find that stocks respond with delay to firm-specific information, partly due to certain firm characteristics, and partly because they escape investor attention due to their low visibility. Our paper extends and refines Jegadeesh and Titman’s (J Financ 56(2):699–720, 2001) finding that momentum profits are consistent with behavioral models’ predictions regarding investors’ overreaction.     

Random matrix application to correlations amongst the volatility of assets

In this paper, we apply tools from random matrix theory (RMT) to estimates of correlations across the volatility of various assets in the S&P 500. The volatility inputs are estimated by modelling price fluctuations as a GARCH(1,1) process. The corresponding volatility correlation matrix is then constructed. It is found that the distribution of a significant number of eigenvalues of the volatility correlation matrix matches with the analytical result from RMT. Furthermore, the empirical estimates of short- and long-range correlations amongst eigenvalues, which are within RMT bounds, match with the analytical results for the Gaussian Orthogonal ensemble of RMT. To understand the information content of the largest eigenvectors, we estimate the contribution of the Global Industry Classification Standard industry groups to each eigenvector. In comparison with eigenvectors of correlation matrix for price fluctuations, only few of the largest eigenvectors of the volatility correlation matrix are dominated by a single industry group. We also study correlations between ‘volatility returns’ and log-volatility to find similar results.     

Assessment Regressivity and Property Taxation

The Journal of Real Estate Finance and Economics - Homestead exemptions typically produce a moderately progressive statutory incidence for the property tax in the US when progressivity is measured...     

Growth dynamics: the bidirectional relationship between interfirm collaboration and business sales in entrant and incumbent alliances

This paper demonstrates the existence of bidirectional relationships between interfirm collaboration and business sales. Controlling for factors that influence whether firms form collaborative relationships, the analysis shows that entry and post‐entry collaboration often contribute to superior performance, which in turn attracts more partners. However, the performance influences vary across types of collaborators and collaborations, with differences among entrant and incumbent partners, between marketing and R&D partnerships, by partner size, and across time. The empirical analysis examines businesses that operated in the U.S. hospital software systems industry between 1961 and 1991. Copyright © 2005 John Wiley & Sons, Ltd.     

Mobile banking in a developing economy: A customer-centric model for policy formulation

India needs inclusive growth to pull millions out of poverty. Despite the best efforts of mainstream financial institutions, financial exclusion is depriving millions of poor any chance to attain adequate standard of living. Telecommunication infrastructure growth especially mobile phone penetration has created an opportunity for providing financial inclusion. The current state of mobile banking is characterized by a top-down approach. This paper presents a bottom-up approach of designing mobile banking service which would be acceptable and accessible to the poor customers. The results point to clear preference of the urban poor for a joint bank–telecom led mobile banking model. Conjoint analysis of the data points to preference for attributes related to security/safety of a bank along with the coverage, accessibility and nimbleness of a telecom service provider with minimal documentation. The paper in its conclusion exhorts the regulators, telecom service providers and financial institutions to involve end-users in order to create a sustainable mobile banking service for financial inclusion.     

Diversity in organizations: Where are we now and where are we going?

A great deal of research has focused on workforce diversity. Despite an increasing number of studies, few consistent conclusions have yet to be reached about the antecedents and outcomes of diversity. Likewise, research on different dimensions of diversity (e.g., age, race, gender, sexual orientation, disability, and culture) has mostly evolved independently. Therefore, the purpose of this review is to examine each of these dimensions of diversity to describe common themes across dimensions and to develop an integrative model of diversity.     

Welfare Policy: Cash Versus Kind,Self-Selection and Notches

This paper investigates second-best allocations where the government lacks full information about consumer types, and how such allocations may be implemented through notch schemes. Thus, we provide another rationale for notches in addition to that investigated by Blinder and Rosen (1985). We use a model of Blackorby and Donaldson (1988), extending their results to more general preferences and to more general tax-subsidy instruments (piecewise linear, rather than linear). We argue that observed policies are sometimes of this nature: In-kind subsidies that are available only if consumption equals or exceeds a particular amount have been used in practice, in housing, and medical care.     

Politics, Insurance Regulation, and Unfunded Pension Liabilities

ABSTRACT: Insurance regulators operate in an environment in which resources are scarce and issues are most often complex and not salient to affected persons. Consequently, regulatory agencies, such as the Pension Benefit Guaranty Corporation (PBGC), need to use resources efficiently by making issues salient and not complex if regulatory goals are to be attained. To further its goal of full funding of defined benefit pension plans, the PBGC annually published a list of the Top Fifty Companies With the Largest Underfunded Pension Liability (LIST). This article investigates the issue of the economic effects of pension plan disclosure by measuring the share price response of the companies included on the LIST; then policy implications are drawn. The event study findings show that, on average, publication of the LIST did not have a negative effect on firm value. However, cross-sectional analysis provides some support for the contention that publication of the LIST had an economic cost on LISTed firms. The authors' results show that the value of large firms on the PBGC's list is less negatively affected at arrival (ARRIVAL) than smaller LISTed firms. Conversely, when firms leave the list (DEPARTURE), the value of large growth-oriented firms is more negatively affected than the value of other firms that reduce their unfunded pension liability. From a policy perspective, as hypothesized by Meier (1991), the PBGC used its scarce resources effectively by publishing the LIST. The issue of unfunded pension liability became less complex and more salient to interested parties. Consequently, consumer groups and political elites provided their support to further the regulatory agency's stated goal, which was the full funding of defined benefit pension plans. Furthermore, increased awareness of the underfunding problem contributed to the passage of the Retirement Protection Act of 1994.