Time Orientation in Languages and Tax Avoidance

Journal of Business Ethics - Studies suggest that when a language requires grammatical marking of future events, speakers prefer immediate payoffs and engage in less future-oriented behavior. If...     

居民杠杆率的发展风险、国际比较与治理路径

当前,我国居民杠杆率快速上涨,并呈现出与国际趋势背离、风险不对称、居民储蓄率下降、债务过度扩张等风险特征.从居民杠杆率的发展肇因看,可归于中长期消费贷款领域的货币政策宽松促使房地产贷款过热,以及短期消费贷款领域的金融科技驱动消费金融机构的野蛮生长.通过采用法律金融学理论,重点分析不同法系下居民杠杆率的发展演进,充分借鉴海洋法系(以美国为代表)与大陆法系(以日本为代表)的居民杠杆率高企的风险治理经验,结合我国居民部门的风险境况,提出我国防范居民杠杆率高企的风险治理路径.     

利用大数据分析技术的智能化网络故障诊断系统

随着网络技术的快速发展以及各种新网络业务的出现，网络的规模日益扩大和复杂。同时，各种网络服务对于网络可靠性的要求也逐渐提高，这就对网络的维护提出了更高的要求。在这种情况下，传统的网络维护模式逐渐不能适应现代网络发展的需求。针对现代大型网络的故障诊断问题，利用大数据分析技术，设计并完成了一套整体的智能化故障诊断系统。在此系统中，针对不同的故障类型，利用能够获取到的数据类型，针对性地设计了相关的故障诊断模块和算法。系统整体基于开源的数据处理平台构建，具备良好的可扩展性。通过实际案例数据的验证，结果表明此系统具备良好的处理实际网络故障的能力，将大数据分析技术应用于网络故障诊断领域也具备较强的可行性。     

Improving forecasting performance using covariate-dependent copula models

Copulas provide an attractive approach to the construction of multivariate distributions with flexible marginal distributions and different forms of dependences. Of particular importance in many areas is the possibility of forecasting the tail-dependences explicitly. Most of the available approaches are only able to estimate tail-dependences and correlations via nuisance parameters, and cannot be used for either interpretation or forecasting. We propose a general Bayesian approach for modeling and forecasting tail-dependences and correlations as explicit functions of covariates, with the aim of improving the copula forecasting performance. The proposed covariate-dependent copula model also allows for Bayesian variable selection from among the covariates of the marginal models, as well as the copula density. The copulas that we study include the Joe-Clayton copula, the Clayton copula, the Gumbel copula and the Student’s $t$-copula. Posterior inference is carried out using an efficient MCMC simulation method. Our approach is applied to both simulated data and the S&P 100 and S&P 600 stock indices. The forecasting performance of the proposed approach is compared with those of other modeling strategies based on log predictive scores. A value-at-risk evaluation is also performed for the model comparisons.     

Option pricing based on hybrid GARCH-type models with improved ensemble empirical mode decomposition

The exploration of option pricing is of great significance to risk management and investments. One important challenge to existing research is how to describe the underlying asset price process and fluctuation features accurately. Considering the benefits of ensemble empirical mode decomposition (EEMD) in depicting the fluctuation features of financial time series, we construct an option pricing model based on the new hybrid generalized autoregressive conditional heteroskedastic (hybrid GARCH)-type functions with improved EEMD by decomposing the original return series into the high frequency, low frequency and trend terms. Using the locally risk-neutral valuation relationship (LRNVR), we obtain an equivalent martingale measure and option prices with different maturities based on Monte Carlo simulations. The empirical results indicate that this novel model can substantially capture volatility features and it performs much better than the M-GARCH and Black–Scholes models. In particular, the decomposition is consistently helpful in reducing option pricing errors, thereby proving the innovativeness and effectiveness of the hybrid GARCH option pricing model.     

Advance selling of new products to strategic consumers on flash sale platforms*

Flash sale (FS) is a new business model that offers discounted products in limited numbers over a short period. In this paper we discuss the impact of strategic consumers on advance selling (AS) of new products on FS platforms. We first study the impact of strategic consumers on competing retailers adopting AS to sell a homogeneous new product. And find that the retailers’ AS profits and inventory quantities decrease with the strategic customers’ valuation and valuation decreasing rate. Then we analyse whether FS can mitigate the impact of strategic customers on retailers adopting AS for new products. We consider a newsvendor model involving only one retailer adopting AS to sell a new product. We derive the results by comparing this model with two counterpart models, namely the classical newsvendor model with no strategic customers and a newsvendor model with strategic customers where the retailer does not use FS under AS.     

基于多元数据分析的城市通风廊道规划策略研究——以北京副中心为例

城市通风廊道是提升城市通透性,改善城市微循环,减缓热岛效应的有效途径之一。通过建设通风廊道让城市"呼吸"起来,可以有效减轻热岛效应,增强空气流动性,提高人体舒适度。基于通州区建设大背景及热点问题,分析了国内外典型案例,利用通州国家级气象站多年观测记录及周边地区气象资料、通州城区1:2000建筑基础地理信息数据和德国高分辨率卫星影像Rapid(5m分辨率)、通州区2015年土地利用现状图及规划图等,分析了通州及周边地区的风环境,研究了通州城区天空开阔度和地表粗糙程度,得出了通风潜力的空间分布。同时,利用卫星遥感资料,分析了热环境的空间分布。提出了通州城区通风廊道规划原则和建议。     

Financial econometrics,mathematics, statistics,and financial technology: an overall view

Review of Quantitative Finance and Accounting - Based upon my experience in research, teaching, writing textbooks, and editing handbooks and journals, this review paper discusses how financial...     

New development: Fiscal reform in South Korea: looking back and moving forward

ABSTRACT

At first glance, it seems that South Korea’s three fiscal systems (mid-term expenditure framework, top-down budgeting, and performance management) function well. However, each fiscal system operates separately and they are inefficient because they follow past practices. This article explains what the problems are and how to overcome them.     

Audit Firm Attributes and Auditor Litigation Risk

This study examines the association between auditors' litigation risk and audit firm attributes. Using professional liability insurance premiums as a proxy for auditors' litigation risk, we present evidence that the risk is lower in audit firms having: (1) separate non-audit and audit divisions; (2) a higher proportion of partners; and (3) a higher annual growth in number of CPAs employed. Additionally, we find that the risk is higher in audit firms having: (1) operating losses; and (2) high revenue growth. Our results are consistent with the idea that audit firms' financial condition and organizational structure affect their independence/ expertise, and, in turn, their litigation risk. Our results are broadly supportive of the PCAOB's (2015) and US Department of Treasury's (2008) views that investors, audit committees, management, and other regulators could benefit from having access to financial and organizational information about audit firms.