Dynamics between currency and equity in Chinese markets

Abstract

Purpose-This study aims to examine the dynamics between exchange rate and equities contextualizing the current liberal currency regime in China. This investigation also extends the analysis to explore the potential important factors influencing the interactions between these two markets. After exchange rate reforms, currency issue has emerged as a new dimension in portfolio decisions and diversification strategies in Chinese equity markets. Design/methodology/approach-This research uses the dynamic conditional correlation generalized autoregressive conditional heteroskedasticity model proposed by Engle (2002) to explore the dynamic interactions between the currency and stock markets. Further, the paper uses regression analysis to explore the explanatory channels of the correlation. The sample comprises 1,265 listed companies over the period 2005-2012 with daily, weekly and monthly observations. To make analysis robust, the study also considers different exchange rates and equities belonging to different industries. Findings-The findings suggest that exchange rate and stock price are related negatively. This conduit increases during the financial crisis period. This association is more prominent at monthly frequency than that of daily and weekly frequencies, which may refer to the noise factor in the high-frequency data. For a portfolio diversification point of view, currency may be considered an alternative diversifier against equity in China. The results also suggest a weak influence of market forces on the association between the currency and stock markets. Originality/value-Much of the related past research is based on co-integration approaches and limited to the relationship between currency and equity markets without exploring the determining channels of this important connection. This study uses a more suitable approach to examine the topic and also investigates the determinants. Besides, previous studies take index data which may be poor to depict the overall market outlook. This paper proceeds with firm-level data which are more appropriate to expose the overall market outlook and investor behavior. This research also draws valuable implications.

Cryptocurrencies and stock market indices. Are they related?

“…Despite the popularity of cryptocurrencies, there are fewer academics works assessing cryptocurrencies from the economic-finance perspective, leading to the conclusion that research on cryptocurrency markets is still in its infancy (Urquhart, 2016). Even though a number of studies have investigated the connectedness between the same type of asset classes (Aftab et al 2015;Tiwari et al 2018) and the linkages between different asset classes (Corbet et al 2018), the scant empirical work addressing connectedness within the cryptocurrencies, and other asset classes, is the motive for this study.…”

Dynamic and frequency connectedness across Islamic stock indexes, bonds, crude oil and gold

“…Although volatility connectedness among financial markets have received many studies, most research has focused on connectedness within the same type of asset classes, e.g. stock, bond, commodity futures and FX markets (Aftab et al, 2015;Ansgar et al, 2018;Aviral et al, 2018), but the connectedness within Islamic financial entities, and across Islamic equity indexes and other asset classes, has received little attention. Thus, our goal here is to investigate how Islamic JEL classification -G17, G15, G16 IMEFM 12,3 306 stock indexes of various parts of the world interact with each other over time, and with other markets like bonds, crude oil and gold, by using the spillover index approach and extensions.…”

Are There Any Volatility Spill-Over Effects among Cryptocurrencies and Widely Traded Asset Classes?

“…A substantial body of literature has investigated the volatility spillover between the same type of asset classes, e.g., stock, bond, commodity and FX markets, between oil and stock markets, between FX and stock market, among other Aftab et al (2015) and Tiwari et al (2018). The absence of empirical works addressing spillover effects within the Bitcoin markets, and across Bitcoins and other asset classes, is the motive for this study.…”