信贷管制、隐性契约与贷款利率变相市场化——现象与解释

本文将视角聚焦于利率市场化改革之前,重点研究金融抑制对银企信贷契约的异化。研究发现,在金融抑制背景下银企之间存在以留存贷款为表现的隐性契约,用以帮助银行在满足管制要求的同时追求利润最大化。本文对这一现象进行了理论分析与实证检验,发现隐性契约的发生与否会随着货币政策、企业特征等因素的改变而有所差异,这在一定程度上起到了利率变相市场化的作用。进一步研究则发现,这一隐性契约对企业价值产生了负向影响。     

A multivariate distance nonlinear causality test based on partial distance correlation: a machine learning application to energy futures

This paper proposes a multivariate distance nonlinear causality test (MDNC) using the partial distance correlation in a time series framework. Partial distance correlation as an extension of the Brownian distance correlation calculates the distance correlation between random vectors X and Y controlling for a random vector Z. Our test can detect nonlinear lagged relationships between time series, and when integrated with machine learning methods it can improve the forecasting power. We apply our method as a feature selection procedure and combine it with the support vector machine and random forests algorithms to study the forecast of the main energy financial time series (oil, coal, and natural gas futures). It shows substantial improvement in forecasting the fuel energy time series in comparison to the classical Granger causality method in time series.     

Relying on the heuristic of trust: a case study

This study examines the reliance on trust as a heuristic by individuals when making personal financial decisions, using a qualitative case study. We show that in the face of complexity and choice, individual investors predominantly resorted to the heuristic of trust to make financial decisions. This demonstrates the need for industry and public policy‐makers to be aware that individuals can and will resort to simplified heuristics as a basis for financial decision‐making, particularly within an environment where substantial complexity and choice exist.     

Accounting practice,fiscal decentralization and corruption

In prior studies, accounting and decentralization corruption solutions have so far been analysed in isolation. In this article, we connect these two strands of literature on corruption. Understanding this connection is important because weak financial accounting and reporting systems can inhibit monitoring incentives and thus reduce decentralization benefits in countering corruption. We argue that the effectiveness of decentralization as an anti-corruption barrier is complemented by the quality of the accounting practice in a country. Using multiple sources of data, we find that decentralization has a positive and increasing effect on reducing corruption among countries with a high-quality accounting practice. In contrast, decentralization has a negative and decreasing effect on reducing corruption among countries with weak-quality accounting practices. These findings are robust to alternative measures of accounting, decentralization and corruption and to endogeneity tests. Our findings demonstrate the crucial information role of accounting in enhancing decentralization monitoring mechanisms and in thereby reducing corruption.     

The Improbability of Fraud in Accounting for Derivatives: A Case Study on the Boundaries of Financial Reporting Compliance

ABSTRACT

This study responds to recent calls in the literature to examine fraud using detailed case studies, extending knowledge beyond individual incentives and capital market reactions towards a more contextualized understanding of the concept. We use an institutional logics perspective to challenge existing assumptions about a universally valid meaning of compliance, fraud, and faithful representation. Presenting the case of the Swedish bank HQ, we show how the interpretation of the accounting standard for option measurement varies across different enforcement bodies because the meaning of compliance is socially negotiated across the institutional logics of markets, financial regulation, and law. The independent decision-making of the different enforcement bodies leads to a systematic variation in the interpretation of principles-based accounting standards without ultimate coordination. To define consistent boundaries of compliance across institutional logics, and thus, to distinguish between fraud and allowable managerial discretion becomes problematic. Faithful representation, in turn, cannot be understood as financial statements reflecting a correct value or as financial statements being prepared in accordance with acceptable practice, as suggested in the earlier literature. Instead, faithful representation itself becomes a contextually bound concept, which can only be defined within an institutional logic.     

金融周期、行业技术周期与经济结构优化

本文首先采用马尔科夫区制转移模型测算金融周期和12类行业的技术投入周期,进而采用交叉谱分析法和OLS法分析金融周期对行业技术周期的影响,结果发现:不同金融变量的周期具有异步性,各行业的技术投入周期具有明显差别;不同金融变量周期与行业技术投入周期之间存在不同的数量关联性,对不同的行业技术投入具有不同的影响作用;在繁荣阶段,金融市场和银行对各行业的技术投入都具有正向推动作用,但金融市场对高密度创新行业技术投入的推动作用更为显著,银行对低密度稳定行业技术投入的推动作用更为显著;在紧缩阶段,金融市场对高密度创新行业技术投入的紧缩效应更为剧烈,银行却对低密度稳定行业的技术投资下行起到缓解作用。根据这些事实和规律,可以引导利用各金融变量对具有发展前景的行业强化技术投资助推作用,提升经济结构优化效率。     

Cultural distance and cross-border bank linkages

This study investigates the effect of cultural distance on global bank linkages using country-pair data for the period 1990–2013. We followed Schwartz (2006) to measure cultural distance, and employed the number of bank pairs involved in cross-border syndicated lending from the source to target countries as a measure of bank linkages. We found that cultural distance has a negative association with bank linkages. This effect is stronger in countries featuring higher informational asymmetries, as represented by weaker institutions, higher uncertainty, or revolution shocks. Our results hold even when employing alternative measures of bank linkages and cultural distance, and when considering the potential endogeneity of cultural distance.     

产业集群内生性集体行动影响因素案例研究与效度检验

基于利益集团等多重主流理论视角和半开放性编码技术的部分探索性案例研究，发现产业集群内生性集体行动受到内生需求、长期导向、本地嵌入、政策激励、同行反应、协会治理、集群规模和集群类型等因素的综合影响。经因子分析和逐步回归等方法检验，上述影响因素组合具有较为理想的建构效度和效标效度。其中，内生需求、长期导向、本地嵌入、政策激励、同行反应和协会治理等属于正面激发因素，对集群企业参与内生性集体行动具有积极促进作用，而集群规模和集群类型等则属于负面阻碍因素，对集群企业参与内生性集体行动具有消极抑制作用。     

Financial development and economic growth in a microfounded small open economy model

The global financial crisis since 2008 revived the debate on whether or not and to what extent financial development contributes to economic growth. This paper reviews different theoretical schools of thought and empirical findings on this nexus, building on which we aim to develop a unified, microfounded model in a small open economy setting to accommodate various theoretical possibilities and empirical observations. The model is then calibrated to match some well-documented stylized facts. Numerical simulations show that, in the long run, the welfare-maximizing level of financial develop is lower than the growth-maximizing level. In the short run, the price channel (through world interest rate) dominates the quantity-channel (through financial productivity), suggesting a vital role of international cooperation in tackling systemic risk of the global financial system.