Uncovering the global network of economic policy uncertainty

This study uncovers the static and dynamic network of economic policy uncertainty (EPU) across 17 developed and emerging economies. We build a centrality network using the minimal spanning tree (MST) as well as a dependency network using partial correlations. Results from the MST show that EPU exhibits some degree of geographical connections with EPUs in seven countries in the sample directly linked to the US EPU. Evidence from dynamic time-varying MST reveals that the nature and dominance of the EPU network have changed significantly over time. Further, the US and German EPUs dominate a close-knit global policy uncertainty network with the highest net (To and From) transmitter of information flow in the dependency network. Greece, Russia, and Brazil are the top three net receivers of information in the global network of EPU. The policy implication of these results relates to the renewed and ongoing international debate on policy coordination.     

北京R&D投入与经济增长的灰色关联分析

随着科技投入的加大,R&D投入也越来越被人们所重视。R&D投入不仅对所在区域科技与经济发展具有重要作用,而且对整个国家的科技与经济发展都具有推动作用。本文运用北京2001~2011年R&D经费投入与经济增长的有关数据变量进行灰色关联分析,并根据不同结构建立了相应模型,揭示了北京R&D经费投入与经济增长的关系。     

Exchange rate contagion in Latin America

A regular vine copula approach is implemented for testing for contagion among the exchange rates of the six largest Latin American countries. Using daily data from June 2005 through April 2012, we find evidence of contagion among the Brazilian, Chilean, Colombian and Mexican exchange rates. However, there are interesting differences in contagion during periods of large exchange rate depreciation and appreciation. Our results have important implications for the response of Latin American countries to currency crises originated abroad.     

ARBITRAGE‐FREE BILATERAL COUNTERPARTY RISK VALUATION UNDER COLLATERALIZATION AND APPLICATION TO CREDIT DEFAULT SWAPS

We develop an arbitrage‐free valuation framework for bilateral counterparty risk, where collateral is included with possible rehypothecation. We show that the adjustment is given by the sum of two option payoff terms, where each term depends on the netted exposure, i.e., the difference between the on‐default exposure and the predefault collateral account. We then specialize our analysis to credit default swaps (CDS) as underlying portfolios, and construct a numerical scheme to evaluate the adjustment under a doubly stochastic default framework. In particular, we show that for CDS contracts a perfect collateralization cannot be achieved, even under continuous collateralization, if the reference entity’s and counterparty’s default times are dependent. The impact of rehypothecation, collateral margining frequency, and default correlation‐induced contagion is illustrated with numerical examples.     

Do sovereign rating announcements affect emerging market exchange rate correlations? A multivariate DCC-GARCH approach

This article investigates the effects of sovereign credit rating announcements on time-varying exchange rate return correlations for a sample of 11 emerging market countries over the period 2002–2015. The data set covers daily exchange rates and long-term foreign currency sovereign ratings, outlooks and watch list. The pairwise time-varying correlations are derived by corrected Dynamic Conditional Correlation (cDCC) modelling which is a member of multivariate Generalized Autoregressive Conditional Heteroskedasticity (GARCH) models family. Furthermore, to capture the global factor effect, a dynamic-weighted index is created by using dynamic principal component (DPC) analysis. Findings suggest that some of the emerging market exchange rate co-movements are affected by rating announcements. Upgrades of Moody’s and downgrades of Fitch lead to spillovers. Main source of these spillovers are sovereign credit rating changes of European countries, especially Czech Republic and Turkey. Countries with high amount of external debt, large current account deficit and speculative grade are more prone to be influenced by announcements on a foreign country’s long-term sovereign rating.     

Probabilistic assessment of fleet-level noise impacts of projected technology improvements

Demand projections for civil aviation have forecast increases in operations in future decades. Increases in demand are beneficial to the growth and advancement of the aviation industry, but also come with the threat of significant increase in environmental impacts. In response, the industry is focusing on programs to develop technologies for reductions in fuel burn, NO_x emissions, and noise. While aircraft-level impacts are an obvious metric of success, it is difficult to make informed robust technology investment decisions with respect to noise without understanding the fleet-level impacts. Fleet-level predictions of noise for technology explorations are especially complicated because it is computationally expensive, highly combinatorial, and airport-specific. Recently, rapid automated airport noise models have been developed, which can be simulated using Design of Experiments (DOE). The results of these simulations are used to generate surrogate models for airport noise contour area, which can be summed to yield a fleet-level impact. These models make use of simplifying assumptions to provide estimates of airport-level noise that are substantially cheaper to compute. They can be used to perform parametric trade-off analyses in conjunction with the equivalency assumption. Equivalency asserts that environmental impacts of a technology infused aircraft can be represented by scaled operations of the baseline aircraft in the same class. This simple assumption allows for the modeling of technology and market penetration factors under the same units: operations. This research uses surrogate models in conjunction with the equivalency assumption to examine two potential technology scenarios in a target forecast year, simulating technology and market performance factors to identify vehicle classes that could have the greatest impact in reducing contour area. Results show that technology and market performance of future notional Small Single Aisle and Large Single Aisle vehicle aircraft have the highest positive correlations with potential reductions in contour area.     

中国利率体系中主要利率间的关系研究

当前，我国正处于利率市场化改革的关键时期。利率市场化改革要求中央银行有完善的价格调控手段，并体现在基准利率体系的完善和利率传导机制的畅通上。本文对我国主要利率品种之间的关系进行实证研究发现，我国货币市场利率、央票利率、贷款利率等相关性不断增强。据此，本文对我国进一步推进利率市场化改革提出了政策建议。     

Corporate bond market interdependence: Credit spread correlation between and within U.S. and Canadian corporate bond markets

This study investigates the correlation and interdependence between and within the U.S. and Canadian corporate bond markets. The empirical framework adopted allows credit spreads to depend on common systematic risk factors derived from structural models and incorporates dynamic conditional correlations (DCC) between spreads. Results show that there is a surprisingly weak correlation between the two markets in normal times. However, during crises, there is a sudden and strong increase in the correlation between U.S. and Canadian credit spreads. The analysis of credit spread correlation within each market also shows an unusual increase in credit spread correlations between sectors and between risk classes in the U.S. during the 2007–2009 global financial crisis. This increase persists over the post-crisis period. By contrast, in Canada, credit spread correlations between sectors remain remarkably stable over time, suggesting an interdependence of credit spreads within the Canadian market.     

电力市场效率评估与碳市场价格设计——基于电碳市场关联视角下的传导率估计

厘清并量化电力市场与碳市场间的关联关系,是深化电力市场改革与实现"双碳"目标的重要抓手。本文基于2006—2018年中国100个地级及以上城市的面板数据,使用似不相关回归模型评估了电力市场效率,在此基础上研究了电、碳市场关联条件下碳价对电价的传导率,并对不同场景下全国碳市场的碳价进行了优化设计。研究发现:(1)与非试点地区相比,碳市场试点地区中电力市场的无谓损失率更低,并且市场效率的提高具有更高的碳减排作用。(2)电、碳市场关联条件下,碳价对电力市场中居民电价的传导率高于对工业电价的传导率,但均远低于完全竞争条件下的传导率水平。(3)传导率的提升能够缓解"降电价"与"碳减排"之间的矛盾。当前传导率下电力市场效率目标与碳减排目标的协同实现需要碳价的大幅提升,而在完全传导的理想情况下最优碳价约为40元/吨。(4)长期而言,当前传导率下碳排放总量下降场景、经济增速放缓场景对应的最优碳价分别为255.05元/吨、173.63元/吨,而人口老龄化场景并未对最优碳价的设置形成约束。本文的研究不仅为电力市场与碳市场之间的关联奠定了理论基础,也为全国碳市场价格机制的优化设计提供了政策参考。     

我国旅游业与民航客运业相关性研究及启示

民航客运业和旅游业之间的发展有很强的关联性,旅游业三大市场(国内旅游市场、出境旅游市场、入境旅游市场)都与民航客运业呈显著的正相关关系.因此,一方面要加强民航客运业与旅游业之间的合作,抓好国内旅游市场的客源,继续保持民航客运在出境游旅客中的绝对优势,开辟旅游特色航线,开发配合旅游业的民航特色服务,使民航客运业与旅游业在发展中携手共进;另一方面,民航客运业的发展要跟上旅游业发展的脚步,在运力、航线网络覆盖面等方面满足旅游业发展的需求,将旅游业对民航客运业发展的辅助作用发挥到极致.