A Study of Multi-Scale Relationship Between Investor Sentiment and Stock Index Fluctuation Based on the Analysis of BEMD Spillover Index

According to behavioral finance theory, investor sentiment generally exists in investors’ trading activities and influences financial market. In order to investigate the interaction between investor sentiment and stock market as well as financial industry, this study decomposed investor sentiment, stock price index and SWS index of financial industry into IMF components at different scales by using BEMD algorithm. Moreover, the fluctuation characteristics of time series at different time scales were extracted, and the IMF components were reconstructed into short-term high-frequency components, medium-term important event low-frequency components and long-term trend components. The short-term interaction between investor sentiment and Shanghai Composite Index, Shenzhen Component Index and financial industries represented by SWS index was investigated based on the spillover index. The time difference correlation coefficient was employed to determine the medium-term and long-term correlation among variables. Results demonstrate that investor sentiment has a strong correlation with Shanghai Composite Index, Shenzhen Component Index and different financial industries represented by SWS index at the original scale, and the change of investor sentiment is mainly influenced by external market information. The interaction between most markets at the short-term scale is weaker than that at the original scale. Investor sentiment is more significantly correlated with SWS Bond, SWS Diversified Finance and Shanghai Composite Index at the long-term scale than that at the medium-term scale.

Dynamic Risk Spillovers in Non-Ferrous Metal Future Markets During COVID-19:A Frequency Domain Analysis

During the COVID-19 pandemic,the international financial markets experienced severe turbulence.Under the background of“Made in China 2025”,substantial entity enterprises have a large demand for non-ferrous metals.With the enhancement of financial attributes of non-ferrous metals,it is vital to prevent financial systemic risk contagion in the non-ferrous metal markets.In this article,the ensemble empirical mode decomposition method is used to decompose the prices of eight important non-ferrous metals futures,and then the dynamic DY risk spillover index model is established from the perspectives of long-term and short-term.The risk spillover between non-ferrous metals during the COVID-19 is quantitatively analyzed from different frequency domains.The study finds that in the long run,the risk spillover relationship between non-ferrous metals remained basically stable,and the change of it after the epidemic is slight.In the short run,the risk spillover relationship has different degrees of structural changes after the outbreak of the COVID-19 pandemic.The ensemble empirical mode decomposition method can distinguish the risk spillovers in different cycles,and help to formulate policies for preventing systemic risks in the non-ferrous metal markets according to the different length of terms.

Portfolio diversification benefits of alternative currency investment in Bitcoin and foreign exchange markets

This study examines the portfolio diversification benefits of alternative currency trading in Bitcoin and foreign exchange markets.The following methods are applied for the analysis:the spillover index method of Diebold and Yilmaz(Int J Forecast 28(1):57–66,2012.https://doi.org/10.1016/j.ijfor ecast.2011.02.006),the spillover asymmetry measures of Barunik et al.(J Int Money Finance 77:39–56,2017.https://doi.org/10.1016/j.jimon fin.2017.06.003),and the frequency connectedness method of Barunik and Křehlik(J Financ Econom 16(2):271–296,2018.https://doi.org/10.1093/jjfin ec/nby001).The findings identify the presence of low-level integration and asymmetric volatility spillover as well as a dominant role of short horizon spillover among Bitcoin markets and foreign exchange pairs for six major trading currencies(US dollar,euro,Japanese yen,British pound sterling,Australian dollar,and Canadian dollar).Bitcoin is found to provide significant portfolio diversification benefits for alternative currency foreign exchange portfolios.Alternative currency Bitcoin trading in euro is found to provide the most significant portfolio diversification benefits for foreign exchange portfolios consisting of major trading currencies.The findings of the study regarding spillover dynamics and portfolio diversification capabilities of the Bitcoin market for foreign exchange markets of major trading currencies have significant implications for portfolio diversification and risk minimization.

Toward energy finance market transition:Does China's oil futures shake up global spots market?

China is breaking through the petrodollar system,establishing RMB-dominating crude oil futures market.The country is achieving a milestone in its transition to energy finance market internationalization.This study explores the price leadership of China's crude oil futures and identifies its price co-movement to uncover whether it truly shakes up the global oil spots market.First,we find that for oil spots under different gravities,China's oil futures is only a net price information receiver from light-,medium-,and heavy-gravity oil spots,but it has a relatively stronger price co-movement with these three spots.Second,for oil spots under different sulfur contents,China's oil futures still has weak price leadership in sweet,neutral,and sour oil spots,but it has strong co-movement with them.Third,for oil spots under different geographical origins,China's oil futures shows price leadership in East Asian and Australian oil spots at the medium-and longrun time scales and strong price co-movement with East Asian,Middle Eastern,Latin American and Australian oil spots.China's oil futures may not have good price leadership in global spots market,but it features favorable price co-movement.