Contracting and Reporting Conservatism around a Change in Fiduciary Duties*

We exploit an influential 1991 Delaware court ruling to examine simultaneously two types of conservatism that play important roles in resolving creditor–owner agency conflicts: contracting conservatism and reporting conservatism. The ruling expanded managerial fiduciary duties in favor of creditors for Delaware-incorporated firms in the vicinity of insolvency. In those firms, following the ruling, debt contracts are less likely to include conservative adjustments to accounting numbers used for covenant compliance (i.e., contracting conservatism decreases), while public financial reporting becomes more conservative (i.e., reporting conservatism increases). The decrease in contracting conservatism is concentrated in firms that exhibit a greater increase in reporting conservatism, suggesting that reporting conservatism is more cost-effective in resolving agency conflicts. In addition, the substitution effect is more pronounced in firms facing greater business uncertainty and firms with greater board independence.     

Deep learning for modeling the collection rate for third-party buyers

This study evaluates a wide range of machine learning techniques such as deep learning, boosting, and support vector regression to predict the collection rate of more than 65,000 defaulted consumer credits from the telecommunications sector that were bought by a German third-party company. Weighted performance measures were defined based on the value of exposure at default for comparing collection rate models. The approach proposed in this paper is useful for a third-party company in managing the risk of a portfolio of defaulted credit that it purchases. The main finding is that one of the machine learning models we investigate, the deep learning model, performs significantly better out-of-sample than all other methods that can be used by an acquirer of defaulted credits based on weighted-performance measures. By using unweighted performance measures, deep learning and boosting perform similarly. Moreover, we find that using a training set with a larger proportion of the dataset does not improve prediction accuracy significantly when deep learning is used. The general conclusion is that deep learning is a potentially performance-enhancing tool for credit risk management.     

Some Potential Linkages for Input-Output Analysis with Flow-of-Funds

Three major, interrelated accounting statements, at the frontiers of quantitative economic analysis, are three interrelated systems, namely: (1) National income and product accounts (NIPA), (2) The input-output tableaux, (IO), and (3) flow-of- funds accounts (FF). The third-mentioned system is somewhat less available and used in only limited areas of macroeconomic analysis. This paper is mainly concerned with use of FF accounting systems. This system shows where financial resources originate, and where they go in support of real capital formation. In this respect, interest rates and other market-based financial rates are of key importance. While much macroeconomic analysis is based on the rates that fit the yield curve, showing the interest rate structure over various maturities of debt associated with a given degree of risk. In contrast, the FF accounts throw light on the whole spectrum of interest rates, across maturities and debt qualities. For example, in analysis of the real estate market and funding of capital formation there, it is important to have a full understanding of the course of mortgage rates of different maturities and qualities. In short, it is necessary to develop a full appreciation of supply and demand forces in the mortgage market, which often is not obviously related to movements of the operative rate for monetary policy, such as very short-term inter bank rates or call money rates. This paper attempts to provide material from the flow-of-funds accounts that would make it possible to analyze the movement of relevant mortgage rates or whatever other rates are needed to understand the financing of capital formation in real estate.     

Lend me your wallets: the effect of charismatic leadership on external support for an organization

We argue that charismatic leadership can influence external support for the organization, particularly in making the company more attractive to outside investors. Two studies were conducted to test this general hypothesis. First, an archival study demonstrated that the stock of companies headed by charismatic leaders appreciated more than the stock of comparable companies, even after differences in corporate performance were controlled. It was also found that the effect of charismatic leadership was heightened under more difficult economic conditions. Second, an experiment was conducted in which the salience of charismatic leadership was manipulated, along with information about the prospects for an organization's turnaround. Results showed that appeals from a charismatic leader led to increased investment in the firm, and the leader's influence was greater when the prospects for an organizational turnaround were more difficult. It was also found that an endowment of stock enhanced the influence of charismatic appeals and that charismatic leadership may have affected the general risk propensities of followers. These findings were interpreted in terms of an external perspective on leadership, illustrating how leaders can manage the firm's economic and social environment. Copyright © 2004 John Wiley & Sons, Ltd.     

Managing the transfer of capabilities within multinational corporations:: the dual role of the subsidiary

In this article, the relation is explored between the external technical embeddedness of the subsidiary, its assigned role, and capability development in the MNC. It is argued that assigning roles of responsibility or mandates to certain subsidiaries can effect integration of subsidiary-developed knowledge in the MNC. Departing from literature on the market-as-networks perspective and writings from recent years on subsidiary roles, hypotheses are developed and a model outlined. The model describes a significant link between the external technical embeddedness of the subsidiary and its assigned role within the MNC, and a significant relation between the subsidiary's assigned role and its importance for other units’ capability development. The model is tested on a sample of 97 subsidiaries using the LISREL 8.3 statistical method. The final model implies that by assigning specific roles to different subsidiaries, headquarters can exploit the knowledge developed in the external environments of these subsidiaries.     

我国国债的风险评估与防范

从国债的可持续性、国债的货币扩张效应、国债对经济增长的影响三个层面评估了我国当前的国债风险，并针对我国的国债特点，提出了防范国债风险的措施。     

Political Measures for Strategic Environmental Policy with External Effects

This paper investigates an environmental policy designed to reduce the emission of pollutants under uncertainty, with the agent problem as an optimal stopping problem. We first analyze the two cases in which there are one agent and two competing agents by following Ohyama and Tsujimura (2005). When we consider a model of strategic agents, we need to analyze the external economic effect that is peculiar to an agent’s environmental policy implementation. Then, to improve and resolve these external effects, we examine three alternative political measures, comprising an environmental subsidy, an environmental tax and an emission trading system. The results of the analysis indicate that the environmental subsidy and environmental tax promote environmental policy. However, they do not create an incentive to be the leader. On the other hand, an emissions trading system not only promotes environmental policy but also creates an incentive for leadership.This paper was previously circulated under the title “Political Measures for Strategic Environmental Policy with Induced Effects”. The authors would like to thank Masaaki Kijima for helpful comments. The authors would also like to thank Alistair Munro and two anonymous referees providing detailed comments and suggestions. This research was partially supported by Daiwa Securities Group Inc. The second-named author was partially supported by the Ministry of Education, Culture, Sports, Science and Technology, Grant-in-Aid for Scientific Research (B) (2), 16310118.     

国债规模的均衡数量及优化

笔者基于世代交叠模型,假定政府执行赤字预算体制,在市场结清的均衡状态下得到了确定国债规模与私人资本规模之比值的解析式。通过模拟发现税率、基本财政支出率、产出关于私人资本的弹性等是决定该比值大小的主要因素。     

International Economies of Scale and the Gains from Trade

In this paper, we present a two-country trade model with external economies of scale that emerge on an international level but are partially localized in each country. First, we show that the larger country exports the good produced in an industry with external economies of scale in the trading equilibrium. Second, we investigate the welfare effects of trade for the following two cases: (I) the case where external economies are completely localized in autarky; (II) the case where external economies are internationally effective in autarky. In case (II), it is shown that trade can be welfare-decreasing for both countries.     

西方现代股利政策理论及实证研究回顾

本文对西方现代公司股利政策方面的理论和实证研究进行了一个综合性的回顾和分析。其中包括主流的股利行为模型、股利的信息内涵、代理成本、追随者效应,也包括国内研究中较少涉及的债务约束、声誉学说、成长机会和交易成本问题,以期对国内相对落后的股利政策研究和随意性较强的股利政策制定带来一定的借鉴意义。