Macroprudential policy and imbalances in the euro area

Since its creation the euro area suffered from imbalances between its core and peripheral members. This paper checks whether macroprudential policy applied to the peripheral countries could contribute to providing more macroeconomic stability in this region. To this end we build a two-economy macrofinancial model and simulate the effects of macroprudential policy (regulating the loan-to-value ratio) when the core and the periphery are exposed to asymmetric shocks. We find that macroprudential policy is able to substantially lower the amplitude of credit and output fluctuations in the periphery. However, for the policy to be effective, it should be decentralized. Very similar conclusions hold when welfare is considered as the optimality criterion.     

Does Accrual Management Impair the Performance of Earnings‐Based Valuation Models?

This study examines how accrual manipulations affect firm valuation in the years surrounding the passage of the Sarbanes‐Oxley Act (SOX). We compare the absolute percentage pricing errors of RIM and DCF valuation models for a group of US firms suspected to have engaged in accrual manipulations to avoid a small loss or a small earnings decline vs. ‘Normal’ firms matched on industry, year and size. We find that RIM can better estimate intrinsic value than DCF for the matched Normal firms in the pre‐SOX period, but not so for accrual manipulators, and that SOX mitigates the harmful effect of accrual manipulations, completely eliminating the difference in RIM's accuracy advantage over DCF between Normal firms and accrual manipulators. As a further analysis, we redefine Suspect firms as real‐activity manipulators and find a significant across‐group difference in accuracy wedge in both sample periods, implying that SOX has prompted firms to favor real‐activity manipulations over accrual manipulations.     

基于建构主义理论的外语语音教学策略简

扼要介绍了建构主义学习理论的基本内涵，指出当前外语语音教学存在的主要问题及其根源，并有针对性地提出了基于建构主义学习理论的外语语音教学策略。     

A gradient boosting approach to the Kaggle load forecasting competition

We describe and analyse the approach used by Team TinTin (Souhaib Ben Taieb and Rob J Hyndman) in the Load Forecasting track of the Kaggle Global Energy Forecasting Competition 2012. The competition involved a hierarchical load forecasting problem for a US utility with 20 geographical zones. The data available consisted of the hourly loads for the 20 zones and hourly temperatures from 11 weather stations, for four and a half years. For each zone, the hourly electricity loads for nine different weeks needed to be predicted without having the locations of either the zones or stations. We used separate models for each hourly period, with component-wise gradient boosting for estimating each model using univariate penalised regression splines as base learners. The models allow for the electricity demand changing with the time-of-year, day-of-week, time-of-day, and on public holidays, with the main predictors being current and past temperatures, and past demand. Team TinTin ranked fifth out of 105 participating teams.     

Modeling the time varying volatility of housing returns: Further evidence from the U.S. metropolitan condominium markets

This study extends the literature on modeling the volatility of housing returns to the case of condominium returns for five major U.S. metropolitan areas (Boston, Chicago, Los Angeles, New York, and San Francisco). Through the estimation of ARMA models for the respective condominium returns, we find volatility clustering of the residuals. The results from an ARMA‐TGARCH‐M model reveal the absence of asymmetry in the conditional variance. Dummy variables associated with the housing market collapse unique to each metropolitan area were statistically insignificant in the conditional variance equation, but negative and statistically significant in the mean equation. Condominium markets in Los Angeles and San Francisco exhibit the greatest persistence to volatility shocks.     

Cox Point Processes: Why One Realisation Is Not Enough

We review a rich class of point process models, Cox point processes, and illustrate the necessity of more than one observation (point patterns) in performing parameter estimation. Furthermore, we introduce a new Cox point process model by treating the intensity function of the underlying Poisson point process as a random mixture of normal components. The behaviour and performance of the new model are compared with those of popular Cox point process models. The new model is exemplified with an application that involves a single point pattern corresponding to earthquake events in California, USA.     

药物分析技术综合实训项目教学模式的探讨与实践

文章以学生综合项目实训和职业适应能力为基础,开展药物检验综合实训,并对校内教学方法的改革等方面如何构建有效实训进行了详细的探讨。     

青海省高校学生教学满意度的调查研究

学生满意度是高校教学服务质量评价的重要内容。文章对青海省高校教学学生满意度情况进行问卷调查,围绕6个结构指标和23个单项指标进行评价,从指标的满意程度和重要性两个方面对各单项指标进行归类,指出目前青海省高校教学服务质量中存在的问题,并提出相应建议。     

Mobile payment and online to offline retail business models

Mobile payments are services that use mobile devices to make payments. When digitalization moves across channel boundaries, online to offline channel retail will expand. Online to offline retailing will become the future retail owner stream and retail operators will move from cross-channel or multi-channel to omni-channel. This study investigates a market survey in Taiwan developing a data mining analytics including clustering analysis and association rules based on a snowflake schema database design. The role of mobile payment is determined in terms of new retail payment mechanism that promotes a better consumer purchase experience in an online to offline business environment.     

职业学校语文课程不重视实训教学的原因分析

实训是一种强调通过实际训练让学生掌握、获取知识并提升能力的教学方法。作为工具性学科的职业学校语文课程,应重视实训教学。文章分析了职业学校语文课程不使用实训教学的原因。