Spillovers of international interest rate swap markets and stock market volatility

2016 ◽  
Vol 42 (10) ◽  
pp. 943-962 ◽  
Author(s):  
Hsiu-Chuan Lee ◽  
Chih-Hsiang Hsu ◽  
Cheng-Yi Chien

Purpose The purpose of this paper is to investigate volatility spillovers across the interest rate swap markets of the G7 economies, and then the authors investigate whether spillovers of swap markets contain useful information to explain subsequent stock price movements. Design/methodology/approach This study uses the short- and long-term swap spread volatility of the G7 countries to explore the spillover effects of international swap markets, and then investigates the relationship between swap and stock markets. The authors use the generalized VAR approach suggested by Diebold and Yilmaz (2012) to study spillovers of international swap markets. The Granger-causality tests are employed to examine the linkage of interest rate swap and stock markets. Findings This paper shows that a moderate spillover effect exists for the short- and long-term swap markets. Moreover, the results show that the short- and long-term swap markets of France and Germany have a larger impact on other countries’ swap markets than that of other countries’ swap markets on the French and German swap markets. Finally, the results indicate that the total volatility spillovers for the long-term swap markets have a larger influence on the total volatility spillover index of stock markets and the global stock market volatility than that of the short-term swap markets. Originality/value Prior literature has used impulse response and variance decomposition analyses to investigate international swap markets linkages. However, the results depend on the ordering of variables. This study uses the framework of Diebold and Yilmaz (2012) to overcome the ordering issue, and thus the authors can compute directional spillovers. This paper is the first study to explore the linkage of the total volatility spillover of swap markets and the stock markets.

2013 ◽  
Vol 21 (3) ◽  
pp. 255-273
Author(s):  
Byung-Jo Yoon ◽  
Kook-Hyun Chang ◽  
홍 민구

This paper tries to empirically investigate whether macroeconomic risk may be statistically useful in explaining long-term volatility of interest rate swap (IRS) in korean market. This paper uses the component-jump model to estimate long-term volatility of IRS from 1/2/2003 to 1/31/2013. By using the component-jump model, the IRS volatility is decomposed into a long-term and a short-term component. According to this study, slope of yield curve and foreign exchange volatility as a proxy of macroeconomic risk have been significant in explaining long-term volatility of IRS.


2018 ◽  
Vol 45 (1) ◽  
pp. 77-99 ◽  
Author(s):  
Ghulam Abbas ◽  
David G. McMillan ◽  
Shouyang Wang

Purpose The purpose of this paper is to analyse the relation between stock market volatility and macroeconomic fundamentals for G-7 countries using monthly data over the period from July 1985 to June 2015. Design/methodology/approach The empirical methodology is based on two steps: in the first step, the authors obtain the conditional volatilities of stock market returns and macroeconomic variables through the GARCH family of models. The authors also incorporate the impact of early 2000s dotcom and the global financial crises. In the second step, the authors estimate multivariate vector autoregressive model to analyze the dynamic relation between stock markets return and macroeconomic variables. Findings The overall results for G-7 countries indicate a weak volatility transmission from macroeconomic factors to stock market volatility at individual level but the collective impact of volatility transmission is highly significant. Although, the results of block exogeneity indicate a bidirectional causality except UK, but the causal linkage is quite weak from stock market to macroeconomic variables. Moreover, the local financial variables excluding interest rate are closely integrated, and the volatility of industrial production growth and oil price are identified as the most significant macroeconomic factors that could possibly influence the directions of stock markets. Originality/value This research establishes the nature of the links between stock market and macroeconomic volatility. Research to date has been unable to satisfactorily establish the empirical nature of such links. The authors believe this paper begins to do this.


2010 ◽  
Vol 18 (1) ◽  
pp. 43-75
Author(s):  
Seungyeon Won

This paper empirically shows that the long-term persistence of negative swap spreads, which was unique phenomenon only in Korean interest rate swap market, could be caused by the covered interest rate arbitrage trading by foreign investors in Korean market. It concretely shows the fixed rates of currency swap, whose decreases expand the incentive for arbitrage trading by foreign investors, to positively influence the interest rate swap spreads. The empirical results suggests that the foreign factors might make more effect on the interest rate swap market than the spot bond market, resulting in the negative interest rate swap spreads. The results implies that, the asset pricing for interest rate swap needs to consider the foreign factors under the circumstances of open capital market.


Author(s):  
Piotr Wybieralski

<p>Effective currency risk management using various derivatives is particularly important under increased market volatility. The risk is relatively higher for longer than shorter time frames. This study highlights the implementation of selected instruments for long-term hedging. It presents the application of cross-currency interest rate swap as a currency risk hedging tool used by Polish exporters, mainly manufacturers generating their revenues mostly abroad (in euro area), exposed to negative exchange rate fluctuations. The paper covers issues related to the pricing, market risk estimation and collateral required in the OTC market, as well as undertakes a sensitivity analysis in search for exchange rates at which margin call occurs. There is a comparative analysis and back test simulation conducted using market data from exchange and money markets. The study emphasized that the analyzed instrument meets the expectations in terms of hedging the company cash flows, as well as may generate additional benefits due to the still existing interest rate differential.</p>


2020 ◽  
pp. 91-115
Author(s):  
Alessandra Amendola ◽  
Marinella Boccia ◽  
Vincenzo Candila ◽  
Giampiero M. Gallo

This paper examines the volatility transmission from energy and metal commodities to six major African exporters’ stock markets (Egypt for oil and gold, Nigeria for oil and gas, South Africa for coal and gold, Tunisia for oil, Uganda for gold and Zambia for copper). Modelling commodity volatility with the Double Asymmetric GARCH-MIDAS model with a Student’s t-distribution allows to detect the presence of impact and inertial stock market volatility spillovers at different lags and to take into account the leptokurtosis of the commodity series. We then derive the profile of Volatility Impulse Responses of the stock markets to commodity shocks.


Mathematics ◽  
2021 ◽  
Vol 9 (11) ◽  
pp. 1212
Author(s):  
Pierdomenico Duttilo ◽  
Stefano Antonio Gattone ◽  
Tonio Di Di Battista

Volatility is the most widespread measure of risk. Volatility modeling allows investors to capture potential losses and investment opportunities. This work aims to examine the impact of the two waves of COVID-19 infections on the return and volatility of the stock market indices of the euro area countries. The study also focuses on other important aspects such as time-varying risk premium and leverage effect. This investigation employed the Threshold GARCH(1,1)-in-Mean model with exogenous dummy variables. Daily returns of the euro area stock markets indices from 4th January 2016 to 31st December 2020 has been used for the analysis. The results reveal that euro area stock markets respond differently to the COVID-19 pandemic. Specifically, the first wave of COVID-19 infections had a notable impact on stock market volatility of euro area countries with middle-large financial centres while the second wave had a significant impact only on stock market volatility of Belgium.


2021 ◽  
pp. 097226292199098
Author(s):  
Vaibhav Aggarwal ◽  
Adesh Doifode ◽  
Mrityunjay Kumar Tiwary

This study examines the relationship that both domestic and foreign institutional net equity flows have with the India stock markets. The motivation behind is the study to examine whether increased net equity investments from domestic institutional investors has reduced the influence of foreign equity flows on the Indian stock market volatility. Our results indicate that only during periods in which domestic equity inflows surpass foreign flows by a significant margin, as seen during 2015–2018, is the Indian stock market volatility not significantly influenced by foreign equity investments. However, during periods of re-emergence of strong foreign net inflows, the Indian market volatility is still being impacted significantly, as has been observed since 2019. Furthermore, we find that both large-scale net buying and net selling by domestic funds increased the stock market volatility as observed during 2015–2018 and COVID-impacted year 2020 respectively. The implications of this study are multi-fold. First, the regulators should discuss with industry bodies before enforcing major structural changes like reconstituting of mutual fund investment mandate in 2017 which forced domestic funds to quickly change portfolio allocation amongst large-cap, mid-cap and small-cap stocks resulting in higher stock market volatility. Second, adequate investor educational and awareness programmes need to be conducted regularly for retail investors to minimize herd behaviour of investing during market rise and heavy redemptions at times of fall. Third, the economic policies should be stable and forward-looking to ensure foreign investors remain attracted to the Indian stock markets at all times.


2015 ◽  
Vol 6 (2) ◽  
pp. 199-222 ◽  
Author(s):  
Xiaoling Li ◽  
Xingyao Ren ◽  
Xu Zheng

Purpose – This paper aimed to analyze the short- and long-term effects of the breadth and depth of seller competition on the performance of platform companies, and investigated the underlying mechanisms of customers’ two-sided marketing tactics on the structure of the competition between sellers. Design/methodology/approach – A longitudinal research design was adopted by gathering daily market objective data on e-commerce platforms for 250 days, and the dynamic evolution effects was analyzed by using a vector autoregression model which compared the differences between the short- and long-term effectiveness of different customer relationship management (CRM) strategies. Findings – The breadth of competition amongst sellers improves the performance of platforms, whilst the depth of competition among sellers has a positive effect on the short-term performance. However, it has a negative effect on the long-term performance of their platforms. In both the short and long terms, advertising tactics that attract new buyers contribute more to increases in the breadth of seller competition than those that attract existing buyers do. Subsidies for new sellers decrease the depth of seller competition more than those for old sellers. Research limitations/implications – Further research could be undertaken to investigate the validity of marketing tactics other than advertising tactics, and thus expand the time windows of the available data. Practical implications – It is imperative for platform companies to implement effective control over seller competition to balance the interests of the sellers and of themselves. Originality/value – The dyadic paradigm of CRM research has been extended by considering the perspective of the electronic platform company, how the tactics of exploitation and exploration of two-sided customers impact upon seller competitive structures have been delved into and why new customers have a unique value to platform companies has been identified.


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