Connectedness and systemic risk spillovers analysis of Chinese sectors based on tail risk network

This paper investigates the systemic risk spillovers and connectedness in the sectoral tail risk network of Chinese stock market, and explores the transmission mechanism of systemic risk spillovers by block models. Based on conditional value at risk (CoVaR) and single index model (SIM) quantile regression technique, we analyse the tail risk connectedness and find that during market crashes, stock market exposes to more systemic risk and more connectedness. Further, the orthogonal pulse function shows that Herfindahl-Hirschman Index (HHI) of edges has a significant positive effect on systemic risk, but the impact shows a certain lagging feature. Besides, the directional connectedness of sectors shows that systemic risk receivers and transmitters vary across time, and we adopt PageRank index to identify systemically important sector released by utilities and financial sectors. Finally, by block model we find that the tail risk network of Chinese sectors can be divided into four different spillover function blocks. The role of blocks and the spatial spillover transmission path between risk blocks are time-varying. Our results provide useful and positive implications for market participants and policy makers dealing with investment diversification and tracing the paths of risk shock transmission.     

波动溢出网络视角的金融风险传染研究

当前各类经济风险交叉关联,金融系统的风险溢出效应备受关注,为刻画我国金融系统性风险传染的路径特征,本文从波动溢出网络的视角分析金融系统内部的风险传染机制。首先使用广义动态因子模型对收益波动的共同波动率成分和特质性波动率成分进行区分。然后,根据货币市场、资本市场、大宗商品交易市场、外汇市场、房地产市场和黄金市场之间的特质性波动溢出效应,利用基于TVP-VAR模型的方差分解溢出指数分析金融系统波动溢出的动态联动性和风险传递机制。在分析方向性波动溢出效应的基础上,采用方差分解网络方法构建起信息溢出复杂网络,从网络视角分析金融系统内部的风险传染特征。实证研究发现,房地产市场和外汇市场的净溢出效应绝对值相较于其他市场更大,其受其他市场风险冲击的影响强于对外风险溢出效应,而股票市场的单向对外风险溢出效应强度最大。在波动溢出的基础上,进一步考虑股市波动率指数与其他市场波动率指数进行投资组合的资产配置权重,计算了波动率指数投资组合的最优组合权重和对冲策略。研究结论有助于更好地理解我国金融系统的风险传染机制,对监管机构加强宏观审慎监管、投资者规避投资风险具有重要意义。     

Trading behaviour connectedness across commodity markets: Evidence from the hedgers’ sentiment perspective

This paper analyses the connectedness network for commercial traders’ sentiment across agriculture, energy, metals and livestock futures markets. The findings find that: (a) producer/merchant/processor/user (PMPU) in agricultural and energy markets are mainly engaged in cross-hedging in the futures market, and most of them would avoid risks in these markets by operating in the metal markets, which can be considered safe for PMPU traders, and that the cross-hedging strategies may play the role of PMPU sentiment spillover across futures markets; (b) as index traders, the swap dealers operate more in two markets, namely between the agricultural and metal markets, or between the agricultural and energy markets; (c) the influence of geopolitical risks in some countries can affect the stability of energy markets, which in turn can cause PMPU system-wide connectedness.     

Connectedness Problem Solving and Negotiation

Difficult polarizing problems/conflicts are pervasive in the United States and the world. Welcome to spiritual rationality/connectedness problem solving and negotiation involving spirituality and rationality, and emphasizing connectedness in problem solving. In particular, we develop CPSN-ESD—Connectedness Problem Solving and Negotiation (CPSN) through Evolutionary Systems Design (ESD)—discussing spiritual rationality/connectedness and highlighting connectedness with One and with each other as values, among others, in problem solving. In CPSN-ESD, CPSN is effected through ESD, a game-theory based, general formal systems- spirituality modeling/design framework for individual and multiagent (group) problem solving and negotiation implemented by computer technology. Problem solving is represented by an evolving problem system of purposes and their relations from the lowest-level action to the highest purpose, ultimate common ground—spirituality, connectedness with One (or a surrogate, as discussed). For an agent, an evolved problem system satisfying spiritual rationality identifies right action (a solution) producing spirituality, connectedness with One (or a surrogate). A negotiation agreement requires multiagent agreement on the action to be taken. Agents may be natural or artificial. The paper focuses mostly on human agents with ideas being applicable to other natural and artificial (computer) agents with lesser (or greater) capabilities than humans according to their built-in capabilities. Present-to-future CSPN-ESD work includes furthering support of human agents; designing spiritual agents; designing multiagent systems for connectedness capitalism; developing connectedness democracy; further research and applications on intercultural and international negotiation; work on the world connected.     

Connectedness and risk spillovers in China’s stock market: A sectoral analysis

This paper shows how sectors in the Chinese stock market are connected and investigates risk spillovers across these sectors. Using graph theory and a recently developed time series technique, we are able to identify the systemically important sector in the market and the patterns of risk spillovers across sectors over time. Unlike standard econometric modeling, graph theory enables us to approach this question in a more reader-friendly way. The empirical results show that Industrial sector plays a central role and should thus be considered the systemically most important sector in the Chinese stock market. The spillover structure is found to be time-varying. While Industrial sector dominates the system for most of the time, other sectors such as Consumer Discretionary sector also occasionally appear as the central sector. Our empirical results also indicate that the simple correlation-based approach can produce equally useful information as more advanced econometric models.     

Time and frequency dynamics of connectedness and hedging performance in global stock markets: Bitcoin versus conventional hedges

Some studies have revealed the hedging ability of Bitcoin against stock markets, but the knowledge of how it compares with other hedges is in its infancy. This paper presents the first study on time-frequency domain connectedness and hedging among five hedges (Bitcoin, crude oil, commodities, gold and the U.S. dollar (USD) index) and four stock indices (developed markets ex U.S., emerging markets ex China, U.S. and China). We find that the connectedness between hedges and stock markets varies by time across time horizons. Specifically, the connectedness between Bitcoin and stock indices is the smallest among all hedges, especially for the short horizon. Gold and USD are isolated from other markets at longer horizons. The hedging ratio, optimal portfolio weights and hedging effectiveness also vary across investment horizons. For short-term investment, gold has better hedging effectiveness, especially for emerging stock markets and the U.S. stock market. For median- and long-term investment, USD has better performance, especially for developed markets ex U.S. and emerging stock markets. Additionally, although Bitcoin has good hedging properties, it has high volatility compared with other hedging assets. In other words, if Bitcoin is included in a portfolio, investors should pay attention to its wide variation. These empirical findings highlight the important role that gold and USD play in hedging against global stock markets.     

Measuring connectedness of euro area sovereign risk

We introduce a method for measuring the default risk connectedness of euro zone sovereign states using credit default swap (CDS) and bond data. The connectedness measure is based on an out-of-sample variance decomposition of model forecast errors. Due to its predictive nature, it can respond to crisis occurrences more quickly than common in-sample techniques. We determine the sovereign default risk connectedness using both CDS and bond data in order to obtain a more comprehensive picture of the system. We find evidence that there are several observable factors that drive the difference between CDS and bonds, but both data sources still contain specific information for connectedness spill-overs. In general, we can identify countries that impose risk on the system and the respective spill-over channels. Our empirical analysis covers the years 2009–2014, such that the recovery paths of countries exiting EU and IMF financial assistance schemes and the responses to the ECB’s unconventional policy measures can be analyzed.     

Measuring the increasing connectedness of Chinese assets with global assets: using a variance decompositions method

This study uses the network topology of variance decompositions to investigate the connectedness of four assets (stocks, bonds, foreign exchange and commodities) across five countries (US, EU, UK, Japan and China). We find that connectedness to and from the Chinese asset markets increased significantly from 2013 to 2018, which reveals that Chinese assets have gradually become integrated into the global economy. We also investigate the volatility connectedness in economically fragile periods and find that the Chinese market acted as a transmitter of volatility in the 2015 Chinese stock crash. This finding is potentially essential to modern risk measurement and management.     

The impact of opportunity connectedness on innovation in SMEs’ foreign-market relationships

Small and medium-sized enterprises (SMEs) use of business networks has grown significantly during the last decades, partly due to increasingly complex innovation processes. This article investigates how different kinds of networks, depending on location, contextualize innovation in specific foreign market business relationships. Building on internationalization, network, and innovation research we develop a model that views opportunity connectedness in specific host-markets, home-markets, and other international markets as prerequisites to innovative collaboration and innovation outcomes in foreign business relationships. The results of our linear structural relations (LISREL) analysis of Swedish SMEs provide empirical evidence that the effect of opportunity connectedness on innovation outcomes in foreign business relationships is mediated by the level of innovative collaboration. These results indicate that SMEs need a relatively higher level of innovative collaboration in their partnerships with foreign market customers to convert opportunities conceived in home- and international- market networks into innovative outcomes in comparison to opportunities conceived in host-market networks. This finding implies that as opportunities become increasingly contextually remote, the importance of collaborative business relationships increases. By showing these results, the study contributes to research in the international small-business domain that seeks to identify important prerequisites of SME innovation.     

Religion,discrimination and trust across three cultures

We propose that religion impacts trust and trustworthiness in ways that depend on how individuals are socially identified and connected. Religiosity and religious affiliation may serve as markers for statistical discrimination. Further, affiliation to the same religion may enhance group identity, or affiliation irrespective of creed may lend social identity, and in turn induce taste-based discrimination. Religiosity may also relate to general prejudice. We test these hypotheses across three culturally diverse countries. Participants׳ willingness to discriminate, beliefs of how trustworthy or trusting others are, as well as actual trust and trustworthiness are measured incentive compatibly. We find that interpersonal similarity in religiosity and affiliation promote trust through beliefs of reciprocity. Religious participants also believe that those belonging to some faith are trustworthier, but invest more trust only in those of the same religion—religiosity amplifies this effect. Across non-religious categories, whereas more religious participants are more willing to discriminate, less religious participants are as likely to display group biases.