What lies beneath—Negative interest rates and bank lending

We study the transmission of negative interest rates to bank lending around an unexpected policy rate cut into deep negative territory by the Swiss National Bank (−0.75%). We exploit a rich data set on transaction-level corporate loans matched with bank balance sheet data. We find that banks more affected by negative interest rates offer looser lending terms and lend more than other banks. This result is consistent with the risk-taking channel, where a lower policy rate spurs bank risk-taking to maintain profits. The result implies that, even in such deep negative territory, the reversal rate has not yet been hit.     

Network based evidence of the financial impact of Covid-19 pandemic

How much the largest worldwide companies, belonging to different sectors of the economy, are suffering from the pandemic? Are economic relations among them changing? In this paper, we address such issues by analyzing the top 50 S&P companies by means of market and textual data. Our work proposes a network analysis model that combines such two types of information to highlight the connections among companies with the purpose of investigating the relationships before and during the pandemic crisis. In doing so, we leverage a large amount of textual data through the employment of a sentiment score which is coupled with standard market data. Our results show that the COVID-19 pandemic has largely affected the US productive system, however differently sector by sector and with more impact during the second wave compared to the first.     

Liability for Past Environmental Contamination and Privatization

This paper examines the role ofliability for past environmental contaminationin the privatization processes of Central andEastern Europe. In particular, it establishes alink between a risk-averse investor's amount ofinformation regarding the extent of pastenvironmental contamination (and its cleanupcosts) and the investor's willingness to payfor a particular enterprise, i.e., bid. As theinvestor obtains a more precise estimate of theuncertain cleanup costs, the investor facesless risk; therefore, the investor's riskpremium falls and the investor's bid rises.This link generates four hypotheses regarding aprivatization agency's responses to theinvestor's knowledge of clean-up costs.     

Utility Regulation and Risk Allocation: The Roles of Marginal Cost Pricing and Futures Markets

The effects on consumer welfare of requiring a utility facing cost or demand risk to use either a fixed retail price or marginal cost pricing are assessed. With marginal cost pricing and cost volatility an efficient futures market allows consumer welfare to be at least as high in every state as with the fixed price. With demand risk marginal cost pricing can benefit the consumer in every state without harming the firm if the profit difference is transferred to the consumer. A futures market can act as a partial replacement for the transfer.     

Carbon Taxes and Joint Implementation. An Applied General Equilibrium Analysis for Germany and India

Germany has committed itself toreducing its carbon emissions by 25 percent in2005 as compared to 1990 emission levels. Toachieve this goal, the government has recentlylaunched an environmental tax reform whichentails a continuous increase in energy taxesin conjunction with a revenue-neutral cut innon-wage labor costs. This policy is supposedto yield a double dividend, reducing both, theproblem of global warming and high unemploymentrates. In addition to domestic actions,international treaties on climate protectionallow for the supplementary use of flexibleinstruments to exploit cheaper emissionreduction possibilities elsewhere. One concreteoption for Germany would be to enter jointimplementation (JI) with developing countriessuch as India where Germany pays emissionreduction abroad rather than meeting itsreduction target solely by domestic action. Inthis paper, we investigate whether anenvironmental tax reform cum JI providesemployment and overall efficiency gains ascompared to an environmental tax reformstand-alone. We address this question in theframework of a large-scale general equilibriummodel for Germany and India where Germany mayundertake JI with the Indian electricitysector. Our main finding is that JI offsetslargely the adverse effects of carbon emissionconstraints on the German economy. JIsignificantly lowers the level of carbon taxesand thus reduces the total costs of abatementas well as negative effects on labor demand. Inaddition, JI triggers direct investment demandfor energy efficient power plants produced inGermany. This provides positive employmenteffects and additional income for Germany. ForIndia, joint implementation equips itselectricity industry with scarce capital goodsleading to a more efficient power productionwith lower electricity prices for the economyand substantial welfare gains.     

Modeling Disinterest and Dislike: A Bounded Bayesian Mixed Logit Model of the UK Market for GM Food

Mixed logit models represent a powerful discrete choice analytical model but require assumptions about the functional form of the parameter distributions. The use of unbounded distributions, such as the normal distribution, may be regarded as unsuitable where theory indicates that all are negatively affected by increases in an attribute, such as price. Bounded distributions such as the triangular and log-normal are unable to model the case where a section of the population is indifferent towards an attribute, while the remainder are negatively disposed toward it. Train and Sonnier’s bounded mixed logit model accommodates these features and is employed in this paper. A censored normal and Johnson’s S_b distribution are used to model preferences in the UK for food attributes, including price and GM technology. Bi-modal distributions are identified regarding GM food: some are unlikely to ever consume it, some are close to indifference and willing to consume at relatively small discounts while the remainder are fairly unresponsive to further price reductions.     

巨灾风险证券化及在中国保险市场的应用

在分析了巨灾风险的损失频率与损失幅度的特点、传统保险与再保险对抗巨灾风险的局限性等方面的基础上，重点介绍了巨灾风险证券的几种产品类型，分析了各种风险转移方式的优缺点。最后，根据中国保险市场的特点，从应用环境和应用条件两个方面提出了开展巨灾风险证券化应用的若干设想。     

振兴东北老工业基地资本运营效益研究

现阶段,东北老工业基地存在着高消耗、低性能、低附加值、产品生产能力过剩等问题,因而,在市场经济的大潮中,造成了竞争力减弱、经济效益下滑的局面.发达国家的实践告诉我们,传统产业高科技化能改变这种局面,但高科技需要大量投入资本,故而需要研究传统产业高科技化资本运营的模式,从而降低高风险,实现高效益.     

信用的生态学诠释与信用生态链的构建

生态学有逐渐与经济学相渗透、相融合的趋势，从而扩展了经济学的研究边界。本文从生态学的视角对信用加以研究，首先介绍了信用生态的理论内涵，其次研究了良好的社会信用生态环境的评价标准，最后对构建和谐的社会信用生态链提出了具体的对策措施。     

Can the Risks of the Kyoto Mechanisms be Reduced Through Portfolio Diversification? Evidence from the Swedish AIJ Program

Through Joint Implementationand the Clean Development Mechanism, reductionsof greenhouse gas emissions achieved abroad canbe credited to domestic firms. However, thetechnical, economic and political risksinvolved may prevent the private sector frominvesting in such projects. This paperdescribes three types of risks which emissionreduction projects are exposed to. Eleven pilotprojects carried out under the ActivitiesImplemented Jointly (AIJ) program and financedby Sweden are evaluated. Actual project costsare found to exceed projected costs in allcases. Annual emission reductions also deviatefrom their expected values and vary stronglyover time, supporting the hypothesis that suchprojects are risky business. The riskmanagement tool portfolio diversification isapplied to a sample of Swedish AIJ projects.The results indicate that diversification canreduce the risks of greenhouse gas mitigationprojects significantly. Thus, carbon funds area promising way of lowering the risks of theKyoto Mechanisms for private sector investors.