Asymmetric Loss and the Rationality of Inflation Forecasts: Evidence from South Korea

We examine asymmetry in the loss functions of South Korean consumers' and the Bank of Korea's (BOK) inflation forecasts, and test the rationality of these forecasts under the assumption of a possible asymmetric loss function. Under an asymmetric loss function, we find evidence of asymmetry and support for rationality. We also examine whether the BOK's forecasts incorporate respective forecasts and consensus forecasts efficiently. They broadly use available information efficiently, and their results are robust to inflation‐targeting measures and the recent global financial crisis. However, our results suggest that the information efficiency of the BOK's forecasts for consumers was affected during the period 2007–2008.     

Stochastic Payments per Claim Incurred

We propose a Bayesian model to quantify the uncertainty associated with the payments per claim incurred (PPCI) algorithm. Based on the PPCI algorithm, two submodels are proposed for the number of reported claims run-off triangle and the PPCI run-off triangle, respectively. The model for the claims amount is then derived from the two submodels under the assumption of independence between the number of incurred claims and the PPCI. The joint likelihood of the number of reported claims and claims amount is derived. The posterior distribution of parameters is estimated via the Hamiltonian Monte Carlo (HMC) sampling approach. The Bayesian estimator, the process variance, the estimation variance, and the predictive distribution of unpaid claims are also studied. The proposed model and the HMC inference engine are applied to to an empirical claims dataset of the WorkSafe Victoria to estimate the unpaid claims of the doctor benefit. The Bayesian modeling procedure is further refined by including a preliminary generalized linear model analysis. The results are compared with those in a PwC report. An alternative model is compared with the proposed model based on various information criteria.     

How Owners Matter? An Examination of Ownership Type in Corporate Disaster Relief Giving

Little research has investigated the effect of ownership identity (or type) and corporate philanthropy experience on giving. In this research, relying on legitimacy theory, we first assess the effect of ownership identity on corporate philanthropy (CP) in the context of the 2008 earthquake in China. Then we explore moderation effects of firms' prior CP experience and size as proxies for perceived legitimacy on owners' efforts at increasing giving and legitimacy. We find that state and CEO ownership are deterrents, while non‐SOE and institutional ownership enhances giving probability and amount. In addition, there is evidence that firm size and prior CP weaken the effects of institutional ownership on CP. This study provides a complete assessment of owner behaviour. Copyright © 2018 ASAC. Published by John Wiley & Sons, Ltd.     

Idiosyncratic Information,Moral Hazard,and the Cost of Capital

This paper examines the effects of idiosyncratic accounting information on a firm's cost of capital. By embedding a moral hazard problem into a multifirm asset‐pricing model, I show that moral hazard distorts the sharing of idiosyncratic risk but does not affect the sharing of systematic risk in the economy. A firm‐level improvement in idiosyncratic information reduces the firm's cost of capital even though it does not affect the implied cost of capital inferred from publicly traded shares. Moreover, an economy‐level improvement in idiosyncratic information reduces the risk premium for idiosyncratic risk but increases the risk premium for systematic risk, resulting in an ambiguous net effect on the firm's cost of capital. These results provide alternative explanations for the mixed empirical evidence on the relation between information quality and the cost of capital.     

创新生态系统视角下价值共创如何影响企业创新绩效——一个有调节的中介模型

以创新生态系统为视角，引入创新资源互动与生态系统规范机制为中介变量和调节变量，探究价值共创如何影响企业创新绩效。基于307家企业样本数据，运用结构方程模型、Bootstrap和层级回归方法对数据进行分析。研究发现：创新生态系统中，价值共创不完全直接影响企业创新绩效；创新资源互动部分中介价值共创对企业创新绩效的影响；生态系统规范机制部分正向调节价值共创对创新资源互动的影响。最后提出，创新生态系统调控方与企业要差异化地制定提升创新绩效的实施方案，营造活跃的创新资源互动氛围，形成并完善系统内生态规范机制。     

互联网金融规制与市场有效性改善*——来自中国网络借贷行业的证据

中国的互联网金融经历了一个先创新发展后监管规制的过程，本文通过对网络借贷行业的实证研究，分析监管规则的出台实施对新型互联网融资市场有效性的影响。实证结果表明，网络借贷平台资金的银行存管、持有ICP证等强制性规定缓解了投资者、平台企业与借款人之间的信息不对称，对克服早期平台间通过竞相承诺高回报率来吸引投资者导致的“柠檬市场”问题、对解决网贷市场上缺乏平台风险性高低有效信号的问题都起到了正向作用，有助于互联网融资市场的有效性提高。     

The influencing factors of satisfaction and lending intention in online lending investment: an empirical study based on the Chinese market

This paper develops a platform‐based influencing factors model which considers value perception, risk prevention measure, non‐default experience, trust and incentive gap, to better examine the impact of platforms on investors’ satisfaction and lending intention based on the Chinese market. The results reveal that the first four factors positively influence the satisfaction of the investors, while the incentive gap has a negative impact, and there is a positive association between investors’ satisfaction and lending intention. Some specific features of China’s online lending market are identified, which provides valuable insights for online lending platforms and the government.     

Operational risk quantified with spectral risk measures: a refined closed-form approximation

The quantification of operational risk has become an important issue as a result of the new capital charges required by the Basel Capital Accord (Basel II) to cover the potential losses of this type of risk. In this paper, we investigate second-order approximation of operational risk quantified with spectral risk measures (OpSRMs) within the theory of second-order regular variation (2RV) and second-order subexponentiality. The result shows that asymptotically two cases (the fast convergence case and the slow convergence) arise depending on the range of the second-order parameter. We also show that the second-order approximation under 2RV is asymptotically equivalent to the slow convergence case. A number of Monte Carlo simulations for a range of empirically relevant frequency and severity distributions are employed to illustrate the performance of our second-order results. The simulation results indicate that our second-order approximations tend to reduce the estimation errors to a great degree, especially for the fast convergence case, and are able to capture the sub-extremal behavior of OpSRMs better than the first-order approximation. Our asymptotic results have implications for the regulation of financial institutions, and may provide further insights into the measurement and management of operational risk.     

The Short-Selling Hypothesis of Weekend Effect and T + 1 Trading Mechanism

Asia-Pacific Financial Markets - Utilizing a difference-in-difference regression model, we conduct cross-sectional and time-series analysis to explore effect of short sales on the weekend effect in...     

邱少云和他守望的城

当今日重庆记者来到邱少云烈士纪念馆时,见到了很多小朋友的身影. 作为铜梁人,逯娟对此情形早已习惯.带孩子到邱少云烈士纪念馆缅怀英烈一直是铜梁人的传统,她自己从小就喜欢到邱少云烈士纪念馆.