Sovereign and bank dependence in the eurozone: A multi-scale approach using wavelet-network analysis

This study establishes time–frequency networks of sovereign and bank contagion in the eurozone over the period 2009–2021. By applying discrete wavelet transformation, daily CDS premia of sovereigns and systemically important banks are decomposed into multi-horizon components to specify directed and dependence-weighted networks. Dynamic analysis shows that the network connectivity and the strength of the dependencies are significantly lower after the introduction of the European Banking Union in 2014. While the strength effect is pronounced across all time horizons, the network connectivity only reduces in the short and medium run. This provides evidence that the new regulatory framework promotes financial stability but is more effective in the short and medium horizons. The consideration of the COVID-19 pandemic as a real-life stress test confirms these findings as the strength of the dependencies keeps at significantly lower levels.     

Diversification Strategies and Corporate Coherence Evidence from Italian Leading Firms

This paper investigates the determinants of coherence and coherence change usinga sample of Italian leading firms in the period 1993–1996. Consistently with thehypotheses advanced by Teece et al. (1994), the econometric analysis highlightsthat relatedness between pairs of sectors and coherence of diversification strategiesare higher when firms are active in sectors sharing similar technological and marketingcharacteristics, and when they are positioned at different stages of the productive chain.Moreover, the findings that firms which enter the group of top 5 industry leaders aremore coherent than the average and that coherence is increasing for firms active insectors more sensitive to EU integration are consistent with the prediction that coherentfirms tend to outperform less coherent ones and that coherence is increasing in morecompetitive environments. Finally, the results show that a deepening of vertical integration strategies is good for coherence change, while an increase of diversification brings a reduction in coherence.     

智能信息处理方法在股市研究中的应用

本主要介绍了智能信息处理方法在股市研究中的应用，着重介绍了基于模糊数学方法的政策因素综合评价研究、神经网络模型在股票价格分析中的应用和小波包在股票价格预测中的应用。     

A Multiple and Partial Wavelet Analysis of the Oil Price,Inflation, Exchange Rate,and Economic Growth Nexus in Saudi Arabia

This article provides a fresh insight into the dynamic nexus between oil prices, the Saudi/US dollar exchange rate, inflation, and output growth rate in Saudi Arabia’ economy, using novel Morlet’ wavelet methods. Specifically, it implements various tools of methodology: the continuous wavelet power spectrum, the cross-wavelet power spectrum, the wavelet coherency, the multiple and the partial wavelet coherence to the annual sample period 1969–2014. Our results unveil that the relationships among the variables evolve through time and frequency. From the time-domain view, we show strong but non-homogenous linkages between the four variables. From the frequency-domain view, we uncover significant wavelet coherences and strong lead-lag relationships. From an economic view, the wavelet analysis shows that Saudi economy is still exposed to several global risk factors, which are mainly related to the oil market volatility, and the pegging of the local currency to the US dollar. Such risk factors strongly and negatively affect the real economic growth, exert more pressure on inflation, and substantially limit the freedom to pursue an independent monetary policy.     

欧盟国际投资规则的源与流

欧盟在其近年来的国际投资协定谈判中,提出了不少对国际投资规则进行革新的内容。中国为应对将来中欧自由贸易协定谈判,除了分析欧盟国际投资规则本身之外,更应该对欧盟国际投资规则的形成与发展趋势有清晰的把握。欧盟投资规则的形成受到《里斯本条约》的影响,在发展过程中欧盟法院又起到了至关重要的作用。同时,欧盟的国际投资规则发展面临着一致性问题的影响。欧盟如何协调内部投资规则的冲突,如何协调欧盟与欧盟成员在外部的国际投资仲裁中的主体地位等问题都将影响着欧盟国际投资规则的发展,更影响着中国应对中欧双边贸易投资规则的谈判策略。     

Changing patterns of Asian currencies’ co-movement with the US dollar and the Chinese renminbi: Evidence from a wavelet multiresolution analysis

We extend the Frankel–Wei approach by using wavelet analysis to evaluate the relative importance of the dollar and the renminbi as anchor currencies at different time scales. We find that Asian currencies’ co-movement with the dollar weakened after the global financial crisis, while that with the renminbi strengthened particularly after China introduced a new exchange rate management system in 2015. The evidence suggests that emerging Asian economies have recently attached more importance to the renminbi as an anchor in exchange rate management.     

Dependent relationships between Chinese commodity markets and the international financial market: Evidence from quantile time-frequency analysis

In this article, the quantile time–frequency method is utilized to study the dependence of Chinese commodities on the international financial market. The impacts of risk management and diversification benefits of different portfolios are examined by calculating the reduction in downside risk. Moreover, we estimate and compare Sharpe Ratios (SRs) and Generalized Sharpe Ratios (GSRs) based on the frequencies of the investigated portfolios. Our empirical results reveal a strong asymmetric response from Chinese commodity markets. Specifically, we find that gold is a safe-haven asset, and due to negative correlations found at lower quantiles in medium and long term, an increase in the USD index damages bull commodity markets but boosts bear conditions under long-term investments, and negative (positive) tail correlations with interest rates (IRs) in bull (bear) markets are observed. It is proven that WTI can decrease short-run risks while USD and GOLD are more efficient in the diversification of downside risk. Adding international commodities may not improve the returns of Chinese commodities at given risk levels in the short and medium term through SRs and GSRs. In brief, investors should consider these dependence structures and modes of risk management in terms of time and frequency.     

Systems science serves enterprise integration: a tutorial

Enterprise integration is a major global challenge of these times. It is now possible for a new generation of practitioners to engage this challenge selectively by applying a recently articulated version of systems science (WSS). This tutorial paper argues that a half-century of disarray of the systems field can be seen as ending; and that the distillation of WSS to support a wide variety of application areas (in this instance, enterprise integration) can occupy practitioners as they harness the work program of complexity (WPOC) selectively. Carrying out the WPOC yields predictable portfolio components, consisting of a well-defined mix of tangible and intangible products. The three causes of poor intellectual productivity identified by Kenneth Boulding are nullified when appropriate role matching is achieved between WSS and enterprise integration.     

Who Plays the Key Role among Shanghai, Shenzhen and Hong Kong Stock Markets？

In this paper we examine the daily frequency stock market indices of Shanghai, Shenzhen and Hong Kong from January 2000 to June 2012, and use the Morlet wavelet coherence model to determine who is playing the most important role in the financial markets of China. We find that there are significant comovements between these stock markets in the medium and long run. This provides investors with opportunities to increase their capital gains. The Hong Kong stock market plays a leading role in the long run, but its leader position is threatened by fast‐growing Chinese mainland stock markets, especially the Shanghai Stock Exchange. Based on our analysis, the following suggestions apply to the Chinese stock markets: establish and improve international and regional finance centers in Chinese mainland; encourage more qualified institutional investors; reposition the market relations among Hong Kong, Shanghai and Shenzhen; and increase deregulation and internationalization to speed up the integration of financial resources.     

视点:影响语篇翻译中连贯重构的重要因素

语篇视点四分法将语篇视点分为时空视点、观念视点,叙述视点和知觉视点。对视点的正确分析和准确再现影响着语篇翻译中语义连贯和人际连贯的实现。