The long-run effects of geopolitical risk on foreign exchange markets: evidence from some ASEAN countries

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Hon Chung Hui
Keyword(s):  
Exchange Rate ◽  
Exchange Rates ◽  
Foreign Exchange ◽  
Risk Index ◽  
Foreign Exchange Markets ◽  
Content Type ◽  
Long Run ◽  
Exchange Markets ◽  
Exchange Rate Models ◽  
Asean Countries

PurposeThe purpose of this paper is to analyse the long-run relationship between geopolitical risk and exchange rates in four ASEAN countries.Design/methodology/approachWe augment theoretical nominal exchange rate models available in the literature with the geopolitical risk index developed by Caldara and Iacoviello (2019), and then estimate these models using the ARDL approach to Cointegration.FindingsOur analysis uncovers evidence of Cointegration in the exchange rate models when the MYR-USD, IDR-USD, THB-USD and PHP-USD exchange rates are used as dependent variable. Next, geopolitical risk is a significant long-run driver for these exchange rates. Third, in all countries higher geopolitical risk leads to a depreciation of domestic currency.Research limitations/implicationsThere are implications for entrepreneurs, central banks, portfolio managers and arbitrageurs who actively trade in financial markets. Financial market players can benefit from a better understanding of how geopolitical events affect the portfolio of financial assets across various countries, while entrepreneurs can work out hedging strategies.Originality/valueThis is a contribution to the study of interlinkages between political risk and foreign exchange markets. It is the first study to adopt the geopolitical risk index of Caldara and Iacoviello (2019) to the study the foreign exchange markets of ASEAN countries.

Returns and volatility spillover between stock prices and exchange rates

2013 ◽  
Vol 8 (2) ◽  
pp. 108-128 ◽  
Author(s):  
Manish Kumar
Keyword(s):  
Exchange Rate ◽  
Exchange Rates ◽  
Foreign Exchange ◽  
Stock Prices ◽  
Multivariate Garch ◽  
Foreign Exchange Markets ◽  
Volatility Spillover ◽  
Content Type ◽  
Volatility Spillovers ◽  
Exchange Markets

PurposeThe purpose of this paper is to analyze the nature of returns and volatility spillovers between exchange rates and stock price in the IBSA nations (India, Brazil, South Africa).Design/methodology/approachThe study uses VAR framework and the recently proposed Spillover measure of Diebold and Yilmaz to examine the returns and volatility spillover between exchange rates and stock prices of IBSA nations. In addition, multivariate GARCH with time varying variance‐covariance BEKK model is used as a benchmark against the spillover methodology proposed by Diebold and Yilmaz.FindingsThe results of multivariate GARCH model suggests the integration between stock and foreign exchange markets and indicates the existence of bi‐directional volatility spillover between stock and foreign exchange markets in the IBSA countries. Spillover results using the Diebold Yilmaz model suggest the bi‐directional contribution between stock and foreign exchange market, in terms of both returns and volatility spillovers. Overall, results confirm the presence of returns and volatility spillovers within the IBSA nations and, in particular, the stock markets play a relatively more important role than foreign exchange markets in the first and second moment interactions and spillovers.Practical implicationsThe market participants may consider the relationship between the exchange rate and stock index to predict the future movement of each other effectively. Multinational companies interested in exchange rate forecasting may consider the stock market as an important attribute. There is an interesting implication for portfolio managers too because of the spillover stock and foreign exchange markets. This knowledge would help to create a fund which performs well. Moreover, the paper can help regulators and policy makers in IBSA nations to understand the structure of the market in a better way and then design their policies.Originality/valueThe study contributes to the literature by extending the existing studies on the spillover between stock price and exchange rate by investigating the issue for three emerging economies, India, Brazil and South Africa. Unlike most studies in the literature which focus on multivariate GARCH model, this is the first study which explores the issue of returns and volatility spillover between the stock prices and the exchange rates using spillover measure of Diebold and Yilmaz and much longer and recent daily data. Moreover, multivariate GARCH with time varying variance‐covariance BEKK model is used as a benchmark against the spillover methodology proposed by Diebold and Yilmaz.

scholarly journals Microstructure of Foreign Exchange Markets

2019 ◽  
Author(s):  
Martin D. D. Evans ◽  
Dagfinn Rime
Keyword(s):  
Exchange Rate ◽  
Empirical Research ◽  
Foreign Exchange ◽  
Foreign Exchange Markets ◽  
Exchange Markets ◽  
Institutional Features ◽  
Exchange Rate Models ◽  
Fx Trading ◽  
Areas Of Interest ◽  
Exchange Rate Economics

An overview of research on the microstructure of foreign exchange (FX) markets is presented. We begin by summarizing the institutional features of FX trading and describe how they have evolved since the 1980s. We then explain how these features are represented in microstructure models of FX trading. Next, we describe the links between microstructure and traditional macro exchange-rate models and summarize how these links have been explored in recent empirical research. Finally, we provide a microstructure perspective on two recent areas of interest in exchange-rate economics: the behavior of returns on currency portfolios, and questions of competition and regulation.

scholarly journals Time-Varying Comovement of Foreign Exchange Markets: A GLS-Based Time-Varying Model Approach

Mathematics ◽  
2021 ◽  
Vol 9 (8) ◽  
pp. 849
Author(s):  
Mikio Ito ◽  
Akihiko Noda ◽  
Tatsuma Wada
Keyword(s):  
Exchange Rates ◽  
Foreign Exchange ◽  
Foreign Exchange Markets ◽  
Time Varying ◽  
Quarter Century ◽  
Vec Model ◽  
Long Run ◽  
Loading Matrix ◽  
Exchange Markets ◽  
Over Time

How strongly are foreign exchange markets linked in terms of their similarities in long-run fluctuations? Are they cointegrating? To analyze such “comovements,” we present a time-varying cointegration model for the foreign exchange rates of the currencies of Canada, Japan, and the UK vis-à-vis the U.S. dollar from May 1990 through July 2015. Unlike previous studies, we allow the loading matrix in the vector error-correction (VEC) model to be varying over time. Because the loading matrix in the VEC model is associated with the speed at which deviations from the long-run relationship disappear, we propose a new degree of market comovement based on the time-varying loading matrix to measure the strength or robustness of the long-run relationship over time. Since exchange rates are determined by macrovariables, cointegration among exchange rates implies these variables share common stochastic trends. Therefore, the proposed degree measures the degree of market comovement. Our main finding is that the market comovement has become stronger over the past quarter-century, but at a decreasing rate with two major turning points: one in 1995 and the other one in 2008.

Hong Kong and Denmark will keep currency pegs

2015 ◽  
Keyword(s):  
Hong Kong ◽  
Exchange Rate ◽  
Foreign Exchange ◽  
Medium Term ◽  
Content Type ◽  
The Us ◽  
Exchange Rate Arrangements ◽  
Exchange Markets ◽  
Us Dollar ◽  
Currency Pegs

Subject The longevity and outlook for currency pegs. Significance The abandonment of the Swiss franc's three-year-old peg to the euro on January 15 put into question the longevity of pegged exchange rate arrangements. It also highlights how unusual such arrangements are today. Impacts The SNB will still have to continue to intervene in foreign-exchange markets to stabilise the Swiss franc. The SNB move will not cause Danish authorities to stop pegging the Danish krone to the euro. The near- and medium-term longevity of the Hong Kong dollar peg to the US dollar will not be questioned.

scholarly journals Exchange rate modelling in the development community using the ARDL cointegration approach: The case of emerging markets

2020 ◽  
Vol 10 (2) ◽  
pp. 53-70
Author(s):  
Abdulkader Aljandali ◽  
Christos Kallandranis
Keyword(s):  
Exchange Rate ◽  
Exchange Rates ◽  
Equilibrium Exchange Rate ◽  
Distributed Lag ◽  
Autoregressive Distributed Lag ◽  
Ex Post ◽  
Long Run ◽  
Equilibrium Exchange ◽  
Exchange Rate Movements ◽  
Exchange Rate Models

Despite rising interest in African economies, there is little prior research on the determinants of exchange rate movements in the region. This paper examines the monthly exchange rates of the country members of the Southern African Development Community (SADC) from 1990 to 2010 inclusive. Long-run equilibrium exchange rate models are established, exchange rate determinants are identified, and ex-post forecasts are generated for a period of 18 months (Sekantsi, 2011). The autoregressive distributed lag (ARDL) cointegration model is used in this paper, given its statistical advantages over commonly, applied cointegration techniques. Findings show that the ARDL method generates accurate forecasts for eight out of 11 sampled exchange rates. In keeping with earlier literature (e.g., Redda & Muzindusti, 2017; Zerihun & Breitenbach, 2017; etc.), findings suggest that the chances of SADC member countries fulfilling the requirements of a currency union are quite low. This paper marks one of the first attempts in the literature to forecast exchange rates in SADC using the ARDL approach (Pesaran & Shin, 1995). The results would be of interest to policy-makers, researchers and investors.

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