我国商业银行营销渠道的选择

商业银行营销渠道的选择是一项重要的战略决策，它会极大地影响其经营业绩和成本水平。目前，我国商业银行的营销渠道还比较狭窄，基层网点功能单一，服务手段落后。今后，商业银行要根据目标市场客户的需求，积极开发新的金融产品，大力整合、开发和拓宽营销渠道。     

积极应对跨国公司在华并购

本文分析了跨国公司在华并购的现状和问题，主张以全新的理念积极应对跨国公司在华并购，一并提出了中国积极应对跨国并购的思路和战略。     

Option pricing in the presence of natural boundaries and a quadratic diffusion term

This paper uses a probabilistic change-of-numeraire technique to compute closed-form prices of European options to exchange one asset against another when the relative price of the underlying assets follows a diffusion process with natural boundaries and a quadratic diffusion coefficient. The paper shows in particular how to interpret the option price formula in terms of exercise probabilities which are calculated under the martingale measures associated with two specific numeraire portfolios. An application to the pricing of bond options and certain interest rate derivatives illustrates the main results.     

论学科交叉路径及趋势

学科交叉是高等学校新学科生长点产生的源泉，是获得原创性科学成果的重要途径。高等学校应大力提倡跨学科研究来推进不同学科的交叉、融合与渗透，以实现学科建设的跨越式发展。     

基于EVA的股票期权激励机制探讨

在委托代理关系中，企业所有者和经营者的目标函数存在差异，由此产生代理成本，需要对经营者进行相应的激励。然而，基于传统业绩评价而实施的股票期权存在一些弊端。本文探索将股票期权嫁接到EVA（经济附加值）平台之上，提出了基于EVA的经理人股票期权激励方案，以期能更有效地解决激励问题。     

油气田开发项目平均投资利润率和利税率的确定

行业平均投资利润率和行业平均投资利税率是投资者进行投资机会选择的主要参考依据之一，是投资者对其投资项目收益的最低期望要求。从投资者角度来讲，恰当地确定平均投资利润率和行业平均投资利税率是一个相当重要而又比较棘手的问题。文章主要讨论了如何确定油气田勘探开发项目经济评价中平均投资利润率和行业平均投资利税率的一种简单方法。     

Carbon Disclosure,Financial Transparency,and Agency Cost: Evidence from Chinese Manufacturing Listed Companies

Given the constraints on carbon emissions due to their impact on global warming, carbon disclosure has become an important way to deliver signals to the market. We examine the benefits associated with carbon disclosure from the standpoint of corporate social responsibility (CSR) for China’s manufacturing industries from 2010 to 2014. We divide corporations into heavily polluting and non-heavily polluting groups in order to control the industry factor. Based on the Principal-Agent Theory, we empirically test the relationship between carbon disclosure and financial transparency, and we evaluate the effect of carbon disclosure on agency costs and operations. Our results highlight that carbon disclosure is negatively associated with agency costs. However, we do not find enough evidence to prove what role financial transparency plays in the relationship between carbon disclosure and agency cost. Therefore, the influence of financial transparency as a mechanism is not yet clear. This study provides a way to look at the intentions of firms that disclose carbon information, and it also enhances the literature on carbon disclosure and agency costs in China based on Chinese data.     

U.S. Money Supply and China’s Business Cycles

This article models the U.S. dollar as a world currency in a global DSGE framework, and investigates the spillover effects of the U.S. money supply shock on China’s economy. Exchange rate targeting and capital controls in the context of dollar hegemony are investigated. Given a positive U.S. money supply shock, both the inflation and real GDP of China will be below their steady-state levels in the medium term; while for the U.S. there is no inflation pressure. The spillover of liquidity effect exists. Cost-push effects and relative price effects are employed to discuss the transmission mechanism. Under the U.S. money supply shock, a fully liberalizing reform with no capital controls and a floating exchange rate of Renminbi is not the best reform for China.     

Optimizing the credit term decisions in supply chain finance

We study a credit term determination problem in the context of a supplier-buyer supply chain. The supplier's credit term decision is simultaneously made with its production and inventory decisions, and most importantly, it is impacted by the buyer's order quantity. We present a new game-theoretic framework to model this problem, which captures the interaction between the supplier's credit term decision and the buyer's order decision in a multi-period setting. An exact method based on nonlinear programming is implemented to obtain the optimal solutions. We apply our methodologies on a real world case. The computational results show that our approach significantly outperforms the heuristics with fixed credit terms, and either a short or a long credit term can be sub-optimal for the supplier in profitability. Our work offers the first data-driven model and solution approach that assists purchasing and supply managers to make optimal dynamic credit term decision in conjunction with production, ordering and inventory decisions in a game-theoretic setting.