Empirical analysis of dynamic spillovers between exchange rate return, return volatility and investor sentiment

Abstract

Purpose This paper aims to analyze the effects of investors’ sentiment, return and risk series on one to another of selected exchange rates. The empirical analysis consists of a time-varying inter-dependence between the observed variables, with the focus on spillovers between the variables. Design/methodology/approach Monthly data on the index Sentix, exchange rates EUR–USD, EUR–CHF and EUR–JPY are analyzed from February 2003 to December 2019. The applied methodology consists of vector autoregression models (VAR) with Diebold and Yilmaz (2009, 2011) spillover indices. Findings The results of the empirical research indicate that using static analysis could result in misleading conclusions, with dynamic analysis indicating that the financial of 2007-2008 and specific negative events increase the spillovers of shock between the observed variables for all three exchange rates. The sources of shocks in the model change over time because of variables changing their positions being net emitters and net receivers of shocks. Research limitations/implications The shortfalls of this study include using the monthly data frequency, as this was available for the authors, namely, investors are interested to obtain new information on a weekly and daily basis, not only monthly. However, at the time of writing this research, we could obtain only monthly data. Practical implications As the obtained results are in line with previous literature and were found to be robust, there exists the potential to use such analysis in the future when forecasting risk and return series for portfolio management purposes. Thus, a basic comparison was made regarding the investment strategies, which were based on the results from the estimation. It was shown that using information about shock spillovers could result in strategies that can obtain better portfolio value over time compared to basic benchmark strategies. Originality/value First, this paper allows for the spillovers of shocks in variables within the VAR models in all directions. Second, a dynamic analysis is included in the study. Third, the mentioned spillover indices are included in the study as well.

Senior official speeches and severe price discontinuities in the foreign exchange market

“…Recently, Aftab et al (2023) showed that economic policy uncertainty significantly increases exchange rate volatility, whereas monetary policy uncertainty in the USA reduces exchange rate risk. Škrinjarić et al (2021) used dynamic models to investigate the effects of investor sentiment, return and risk series on three currency pairs, and Garg and Prabheesh (2021) demonstrated that interest rate differentials have a significant impact on the movements of BRICS exchange rates. Hussain et al (2020) and Hussain and Ben Omrane (2021) showed that return and volatility are sensitive to foreign macroeconomic news announcements, particularly those pertaining to the USA.…”

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Profiting on the Stock Market in Pandemic Times: Study of COVID-19 Effects on CESEE Stock Markets

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