Pythagorean generalization of testing the equality of two symmetric positive definite matrices

We provide a new test for equality of two symmetric positive-definite matrices that leads to a convenient mechanism for testing specification using the information matrix equality or the sandwich asymptotic covariance matrix of the GMM estimator. The test relies on a new characterization of equality between two $k$ dimensional symmetric positive-definite matrices $A$ and $B$: the traces of $A{B}^{?1}$ and $B{A}^{?1}$ are equal to $k$ if and only if $A=B$. Using this simple criterion, we introduce a class of omnibus test statistics for equality and examine their null and local alternative approximations under some mild regularity conditions. A preferred test in the class with good omni-directional power is recommended for practical work. Monte Carlo experiments are conducted to explore performance characteristics under the null and local as well as fixed alternatives. The test is applicable in many settings, including GMM estimation, SVAR models and high dimensional variance matrix settings.     

Biogeography based optimization for mining rules to assess credit risk

Financial institutions, by and large, rely on the use of machine learning techniques to improve the classic credit risk assessment model for reduction of costs, delivery of faster decisions, guaranteed credit collections, and risk mitigations. As such, several data mining and machine learning approaches have been developed for computation of credit scores over the last few decades. Moreover, the existing rule-based classification algorithms tend to generate a number of rules with a large number of conditions in the antecedent part. However, these algorithms fail to demonstrate high predictive accuracy while balancing coverage and simplicity. Thus, it becomes quite a challenging task for the researchers to generate an optimal rule set with high predictive accuracy. In this paper, we present an effective rule based classification technique for the prediction of credit risk using a novel Biogeography Based Optimization (BBO) method. The novel BBO in the context of rule mining is named as locally and globally tuned biogeography based rule-miner (LGBBO-RuleMiner). This is applied for discovering optimal rule set with high predictive accuracy from the dataset containing both the categorical and continuous attributes. The performance of the proposed algorithm is compared against a variety of rule-miners such as OneR (1R), PART, JRip, Decision Table, Conjunctive Rule, J48, and Random Tree, along with some meta-heuristic based rule mining techniques by considering two credit risk datasets obtained from University of California, Irvine (UCI) repository. It is found from the comparative study that the proposed rule miner in ten independent runs of ten-fold cross validation outperforms all of the aforesaid algorithms in terms of predictive accuracy, coverage, and simplicity.     

The Relationship between Mutual TSI and Interfirm Contracts: The Moderating Effect of Strong Ties

ABSTRACT

Purpose: This study examines the influence that tie strength has on contractual relationships between exchange parties with specific investments and also explores the role of network intensity in contractual relationships between buyers and suppliers. We hypothesize that the relationship between transaction-specific investments (TSIs) and contracts is moderated by network intensity.

Methodology: An empirical test is carried out by analyzing buyer–supplier relationships of manufacturing companies. The construct measures were based on those obtained from prior research, and the reliability and validity were established using exploratory and confirmatory factor analysis. The overall measurement model was then assessed with structural equation modeling using AMOS.

Findings: We focus primarily on contract variables as a governance mechanism that can be affected by the strength of ties among firms and the results of our empirical study indicate that supplier TSIs improve the use of informal contracts while the use of formal contracts undermines the effect on supplier TSIs. In addition, we found that firms with weak ties with their partners in the network are more likely to use both formal and informal contracts than those with strong ties.

Contribution: Our study has several contributions. First, our research improves the understanding of the relationship between TSIs and the choice of contracts as a governance mechanism, especially for mutual TSIs. Second, our research improves our understanding of the network strength in the context of business-to-business relationships extending the understanding of the relationship intensity among firms in a network. Third, we focused on the effects of network intensity on contractual relationships.     

On the complexity of repeated principal agent games?

Summary. We examine an infinitely repeated principal agent game without discounting (Radner [1985] ), in which the agent may engage in multiple projects. We focus on “linear” strategies that summarize each history into a linear function of public outcomes, and select an action according to a single threshold rule. We claim that linear strategies significantly simplify the computation needed to make strategic decisions following each history. Despite the simplicity of linear strategies, we can virtually recover the folk theorem. For any individually rational payoff vector in the interior of the set of feasible expected payoff vectors, there exists a pair of linear strategies that form a Nash equilibrium supporting the target payoff. The equilibrium strategies and the equilibrium payoff vectors form a globally stable solution (Smale [1980] ).     

Estimating Households' Preferences for Environmental Amenities Using Equilibrium Models of Local Jurisdictions

Much research has focused on the development of equilibrium models of local jurisdictions to analyze the formation of social structures and community characteristics. These models, however, have been subjected to little empirical testing. In a recent paper, Epple and Sieg (1999) developed a new method for estimating equilibrium models of local jurisdictions, but they did not include environmental amenities in their empirical application. In this paper, we extend and apply this new method to estimate households’ preferences for alternative environmental amenities in the Portland Oregon metropolitan area. We show that estimated structural parameters would be biased if environmental amenities are ignored. By including amenities into the structural models of local jurisdictions, households’ preferences for alternative environmental amenities and public goods are estimated. Parameter values underlying households’ residential choices are uncovered. Many of the empirical regularities observed in the data are replicated (JEL R1, R2, Q2).     

Implications of Debt Renegotiation for Optimal Bank Policy and Firm Behavior

This paper analyzes the problems associated with the renegotiation of debt contracts involving a bank (the lender) and a firm (the borrower) when the latter is operated by a risk averse manager. Firms undertake risky projects with loan capital borrowed from the bank. When a firm cannot pay off a loan it is technically bankrupt. Both the borrower and the lender may however experience a Pareto-improvement in their positions by renegotiating the loan. By renegotiating the terms of the debt the financially distressed firm can avoid the stigmatization of bankruptcy and the bank can avoid the costs of seizing the borrower's assets. However, our main finding is that, from the bank's point of view, renegotiating as a policy of recovering loan payments may be inefficient in practice because of false bankruptcy claims and moral hazard problems associated with exposure of the borrowing firm to the risk of default. We present a solution to the false bankruptcy claim problem that involves a mixe d strategy between asset seizure by the bank and debt renegotiation.     

A note on distortions from estimating the regional impacts of exogenous changes in output

This paper demonstrates both theoretically and empirically that when outputs instead of final demands are exogenously predetermined, the traditional Leontief final demand model overestimates economic impact, and even more so in a multiregional context. We assess this premise vis-à-vis the Leontief output model using the 2013 interregional input–output table of the Republic of Korea. We find that from a multiregional perspective the standard Leontief final demand model yields substantially biased output multipliers for Chungbuk Province.     

Preferences for tourist information centres in the ubiquitous information environment

The rapid development of information communication technology has encouraged tourism authorities to carefully consider the typical duties of tourist information centres (TICs), wherein visitors acquire various kinds of travel information about a particular destination. This study aims to provide useful management implications to help tourism organisations develop feasible TIC operational strategies and implement alternative services in the ubiquitous information environment. To provide a richer understanding of tourists' heterogeneous preferences for TICs, this study makes use of the stated preference choice method with a sample of South Korean domestic tourists. Despite the widespread use of personal mobile devices, our study results suggest that South Korean domestic tourists still prefer to visit various types of TICs to acquire travel information. Results indicate that the TIC visitor group is less sensitive than the non-visitor group to advanced information communication technology and more satisfied with the availability of WIFI signals to facilitate the use of personal mobile devices or laptops. Our respondents also demonstrate their preferences for some TICs constructed with container structures, whereas they showed a strong aversion to visiting booth-styled TICs inside larger buildings. Based on these findings, this study provides several management strategies to fulfil tourists' ever-changing needs.     

Consumers’ use of information intermediaries and the impact on their information search behavior in the financial market

An information intermediary is a human or a nonhuman party designed to assist consumers in information processing. The current study identifies factors determining the likelihood of using human information intermediaries and the effects of using information intermediaries on the amount and the pattern of overall information search. The proposed model is built based on a value‐intention framework and tested in the context of financial investment decisions. The results indicate that a low level of perceived expertise in financial management, a large amount of total financial assets, and a high opportunity cost of time enhance the perceived value of information intermediaries, thus increasing the likelihood of using information intermediaries. We also find that the use of information intermediaries is positively associated with the overall extent of information search and influences the likelihood of using other information sources.