Tax Non-Compliance and Perceptions of Corruption: Policy Implications for Developing Countries

Tax non-compliance and perceptions of corruption are key challenges to state-building in developing countries. Using a social psychology approach, we develop a theoretical model in which different forms of perceived corruption can adversely influence the way individual taxpayers behave. We then apply this model to Indonesia, placing our empirical findings in the context of compliance risk management, identifying strategies to improve tax compliance, and exploring how to implement these strategies effectively. We shed light on the applicability of the traditional responsive regulatory approach (used by revenue authorities to deal with intentionally non-compliant taxpayers), which combines measures in attempting to achieve either voluntary or enforced compliance. While the empirical evidence is based on the Indonesian experience, we suggest that our model is sufficiently general and robust to be applicable to other developing countries in the Asia-Pacific region.     

Fashionability vis-à-vis rationality: investigating factors driving users’ e-tourism website stickiness

Understanding what drive users’ website stickiness is of strategic importance for e-tourism managers. This study examines the role of a neglected construct ‘perceived fashionability’ in forming users’ e-tourism website stickiness in comparison with four commonly studied rational factors: system quality, information quality, security and e-shopping value. Drawing upon dual-system theories and social influence theories, a conceptual model with hypotheses was developed and tested. A sample of 376 e-tourism website users in China participated in this study. The results indicate that perceived fashionability has a positive impact on user's stickiness to the website, and perceived fashionability also performs a mediating role between website security and stickiness. This study contributes to theory by explaining that website stickiness is not entirely driven by rationality but also perceived fashionability. Managerial implications for e-tourism strategies are provided.     

Modeling loan commitments

Loan commitments represent more than 82 percent of all commercial and industrial loans by domestic banks. This paper develops a valuation model for loan commitments incorporating early exercise, multiple fees, partial exercise and credit risk. The model is analytically tractable and easy to implement. Using a sample of commercial paper backup credit lines from the Dealscan database, we show that our model prices closely match loan commitment market prices.     

Implicit attitudes toward risk: the construction and validation of the measurement method

Methods that are typically used to examine individual differences in risk attitudes (e.g. lotteries, dilemmas, questionnaires) require participants to explicitly declare their willingness to take risk. Therefore, they may be biased by the need for self-presentation or situational characteristics such as time pressure and cognitive constraints that lead to more spontaneous and automatic processing of risk-related information. The aim of this study was to construct an indirect measure of risk attitudes that is free of these methodological limitations. The method based on the Implicit Association Test shows high internal reliability and satisfactory stability over time. It correlates moderately with different explicit measures of risk attitudes that are related to sensation seeking. Finally, it is characterized by a high predictive power. Adding the implicit measure to the set of independent variables representing declarative evaluations of risk attitudes significantly improved the model predicting risky real-life behavior. We argue that the indirect assessment of risk attitudes presented in this paper may be used as an universal measure of people’s risk propensity that is free of biases related to self-presentation and situational factors.     

Fair value disclosures and crash risk

In response to the public criticism of the inadequate disclosures mandated by SFAS No. 157, Fair Value Measurements, the FASB issued ASU (Accounting Standards Update) 2010–06, Improving Disclosures about Fair Value Measurements, and ASU 2011–04, Amendments to Achieve Common Fair Value Measurement and Disclosure Requirements, in an effort to increase the reporting transparency. We examine whether the increased fair value disclosures required by these two updates effectively decrease crash risk, defined as the frequency of extreme negative stock returns. In support of the hypothesis, we find that increased transparency from these updates reduces crash risk among U.S. banking firms and that the reduction is greater in banks that have a higher level of Level 3 financial assets.     

新巴塞尔协议框架下的信用风险缓释技术

信用风险缓释技术(Credit Risk Mitigation Techniques,CRMT)在新巴塞尔协议中占有相当重要地位,是新巴塞尔协议降低资本要求的主要方法。本文对新巴塞尔协议有关信用风险缓释技术的核心内容进行了梳理、归纳和概括,在此基础上探讨了当前国内商业银行加强担保抵押管理应该采取的几点措施:一是要建立严格的担保抵押管理程序和操作要求;二是要强化对担保抵押的全过程动态连续监管;三是要控制风险缓释技术本身所带来的剩余风险;四是要在风险缓释工具和借款人之间建立有效的隔离。     

Diversification of infrastructure projects for emergent and unknown non‐systematic risks

Allocating resources to competing large‐scale infrastructure projects involves multiple objectives. Traditional decision‐aiding methodologies focus on the trade‐offs among performance and resource objectives. Existing methodologies may fail to account for unknown and emergent risks that are typical of large‐scale infrastructure investment allocation problems. In modern portfolio theory, it is well known that a diversified portfolio can be very effective to reduce non‐systematic risks. The approach of diversification is equally important in choosing robust portfolios of infrastructure projects that may be subject to emergent and unknown risks. In this paper, we demonstrate a methodology to analyze and compare the diversification of portfolios of large‐scale infrastructure projects. We classify and explore several metrics of diversification and integrate them with risk and other performance objectives in a multiobjective approach. We test the new metrics and the methodology in a case study of hundreds of millions of dollars of infrastructure investments. The results suggest that the solutions that consider diversification are more robust to emergent risks, thus, identifying an opportunity to incorporate diversification‐based optimization methodologies to support a variety of problems involving large‐scale infrastructure investments.     

Predictive safety analytics: inferring aviation accident shaping factors and causation

This paper illustrates the development of an object-oriented Bayesian network (OOBN) to integrate the safety risks contributing to an in-flight loss-of-control aviation accident. With the creation of a probabilistic model, inferences about changes to the states of the accident shaping or causal factors can be drawn quantitatively. These predictive safety inferences derive from qualitative reasoning to conclusions based on data, assumptions, and/or premises, and enable an analyst to identify the most prominent causal factors leading to a risk factor prioritization. Such an approach facilitates a mitigation portfolio study and assessment. The model also facilitates the computation of sensitivity values based on perturbations to the estimates in the conditional probability tables. Such computations lead to identifying the most sensitive causal factors with respect to an accident probability. This approach may lead to vulnerability discovery of emerging causal factors for which mitigations do not yet exist that then informs possible future R&D efforts. To illustrate the benefits of an OOBN in a large and complex aviation accident model, the in-flight loss-of-control accident framework model is presented.     

Risk aversion and the dynamics of optimal liquidation strategies in illiquid markets

We consider the infinite-horizon optimal portfolio liquidation problem for a von Neumann–Morgenstern investor in the liquidity model of Almgren (Appl. Math. Finance 10:1–18, 2003). Using a stochastic control approach, we characterize the value function and the optimal strategy as classical solutions of nonlinear parabolic partial differential equations. We furthermore analyze the sensitivities of the value function and the optimal strategy with respect to the various model parameters. In particular, we find that the optimal strategy is aggressive or passive in-the-money, respectively, if and only if the utility function displays increasing or decreasing risk aversion. Surprisingly, only few further monotonicity relations exist with respect to the other parameters. We point out in particular that the speed by which the remaining asset position is sold can be decreasing in the size of the position but increasing in the liquidity price impact.      

远期结售汇业务发展现状及政策建议

随着人民币汇率弹性的逐步增强,汇率风险的防范问题已日显重要,外汇衍生品市场的发展继而成为我们关注的焦点。文章介绍了湖北省远期结售汇业务的发展现状及成因,从供求关系、交易方式等角度分析了当前制约业务发展的因素,并从鼓励金融创新和进一步完善汇率形成机制的角度,提出相应的市场发展建议。