A cross‐country study on the relationship between financial development and earnings management

This study investigates whether a country's level of financial development is associated with earnings management in an international setting. Financial development is likely to heighten the monitoring and scrutiny of accounting numbers because of strengthened investor protection laws and regulations as well as sophisticated market participants. Therefore, we first hypothesize that both accrual‐based and real earnings management decrease with greater financial development. However, research shows that managers tend to apply real earnings management, instead of accrual‐based earnings management, under strict accounting standards, regulations, and close auditor scrutiny. Thus, we explore the alternative hypothesis that accrual‐based earnings management decreases but real earnings management increases along with higher financial development. We examine the relationship between financial development and both types of earnings management using 56,830 observations in 37 countries covering the period 2009–2012. The results indicate that both types of earnings management are more restrained under higher levels of financial development.     

The modified second-round estimator in the general qualitative response model

This paper suggests a modification of the method of scoring in the general multivariate qualitative response model to attain simpler computation when there are many observations per cell. The paper shows that the proposed estimator is asymptotically efficient even in the cases when the generalized Berkson's estimator (see Amemiya, Journal of the American Statistical Association, June 1976) is not.     

BOND MARKET REACTION TO STOCK REPURCHASES: IS THERE A WEALTH TRANSFER EFFECT?

We reexamine the bondholder wealth impact of stock repurchases with a focus on the wealth transfer effect. We do not detect any transfer of wealth from bondholders to shareholders surrounding open market stock repurchases. For the overall sample (1994–2002), using daily data we document a significant decrease in bond yields surrounding repurchase announcements. Subsamples classified by attributes that capture wealth transfer propensity also do not reveal evidence consistent with a wealth transfer effect. Correlation analysis between bond and stockholder wealth effects similarly is not supportive of a wealth transfer effect. Contrary to the wealth transfer hypothesis, we document a greater proportion of bond rating upgrades than downgrades in the three months following a repurchase announcement. Our results are robust to alternate bond price data and event return methodology.     

On the transferability of the Asian rice green revolution to rainfed areas in sub‐Saharan Africa: an assessment of technology intervention in Northern Ghana

This article investigates the impact of technical intervention on the adoption of a set of improved rice production technologies, as well as on productivity and profit for smallholders in rainfed lowland areas in Northern Ghana. The key finding is that productivity and profit are significantly enhanced when modern varieties (MVs) and chemical fertilizer are adopted, coupled with water control techniques. This is essentially the transfer of the Asian Green Revolution to sub‐Saharan Africa. Such transfer, however, is not truly successful unless information about the use of MVs and fertilizer is directly disseminated by extension activities.     

The Effect of Bank Relations on Investment Decisions: An Investigation of Japanese Takeover Bids

We study 154 domestic mergers in Japan during 1977 to 1993. In contrast to U.S. evidence, mergers are viewed favorably by investors of acquiring firms. We document a two-day acquirer abnormal return of 1.2 percent and a mean cumulative abnormal return of 5.4 percent for the duration of the takeover. Announcement returns display a strong positive association with the strength of acquirer's relationships with banks. The benefits of bank relations appear to be greater for firms with poor investment opportunities and when the banking sector is healthy. We conclude that close ties with informed creditors, such as banks, facilitate investment policies that enhance shareholder wealth.     

Are mutual fund fees excessive?

There is a long running debate over whether competition in the mutual fund industry limits the ability of investment advisors to charge fees that are disproportionate to the services they provide. We posit that disproportionately high fees are prevalent in funds with multiple share classes and those with weak governance structures. Using a comprehensive sample of index mutual funds for the from 1998 to 2007, we find that internal governance mechanisms matter primarily for funds with relatively small share classes where investors often face increased search costs and/or restricted access to competitive mutual funds. Additionally, we find that funds managed by publicly held sponsors are associated with disproportionately higher fee spreads (about 28 basis points). The results are robust to the inclusion of board characteristics, share class structure, and investment objectives. Overall, our findings suggest that competition and agency considerations are important determinants in the pricing of mutual funds.     

Boom and Bust Cycle of the Stock Market, and Economic Growth in a Vintage Capital Model

We construct a growth model of overlapping generations with vintage capital. There exists an equilibrium that converges to the balanced growth path through endogenous fluctuations of investment, consumption, and output in terms of the growth rate. When the technological change arrives and a rise in productivity is embodied only in newly invested capital, the economy converges to a new balanced growth path with a higher growth rate of output, but when we interpret the price of existing old capital as the stock market capitalization, the rise in productivity is accompanied by an initial decline in the stock market. Oscillatory equilibria are supported as perfect-foresight equilibria in the present framework with finitely lived agents and capital. Any oscillatory equilibrium is associated with the regime switch from an economy with both young and old capital in use into one with only old capital in use.     

Note on the non-existence of sunspot equilibrium

In this note, we emphasize the role of consumers’ risk aversion in the non-existence of sunspot equilibria in incomplete market economies. We prove that there are no sunspot equilibria if the fundamentals of the underlying economy admit a unique equilibrium for any distribution of endowments. This substantiates Mas-Colell’s (Economic analysis of markets and games: essays in honor of Frank Hahn. MIT, Cambridge, 1992) conjecture. We also prove that, in a two-consumer economy, no sunspot equilibrium exists under the more relaxed condition that the underlying economy admits a unique equilibrium for the initial endowment. This is a generalization of Corollaries 1 and 2 of Hens and Pilgrim (Econ Theory 24:583–602, 2004).      

Automatic Selection of Classification Algorithms for Non-Experts Using Meta-Features

With the arrival of big-data society, methods for classifying real-world problems have attracted much attention for researchers and developers in various fields. In recent years, much effort has been devoted for improving performances of classification algorithms by adding functions or modifying their weaknesses. However, since a large variety of classification algorithms has been available, it is difficult for non-experts to find classification algorithms that achieve good results on a given data set. Therefore, if there is a system which automatically selects the best classification algorithm for a given data set, non-experts would receive various benefits such as saving time and effort. This paper presents a system of predicting the best possible classification algorithm for a given data set with respect to the accuracy. To the best of our knowledge, this is the first approach focused on predicting the best one. The main target users of the proposed system are non-experts who do not have knowledge and experience in data mining. The proposed system utilizes useful meta-features selected from existing recta-features to increase the performance of the prediction. The feature selection is conducted by a wrapper approach with the genetic search algorithm. In the proposed system, K-nearest neighbor algorithm is used to learn the selectedmeta-features and build a classification model for predicting future data. Experiments using 58 real-world data sets show that the proposed system predicted the best classification algorithm with 60.34% accuracy from the top five in 30 classification algorithms.