Author
Listed:
- Antanas Laurinavicius
(Department of Finance, Faculty of Economics and Business Administration, Vilnius University, Vilnius, Lithuania)
- Hussein Moselhy Sayed Ahmed
(Department of Business Administration, College of Business, University of Bisha, Saudi Arabia
Kafrelsheikh University, Egypt)
- Algimantas Laurinavicius
(Department of Finance, Faculty of Economics and Business Administration, Vilnius University, Vilnius, Lithuania)
- Safaa Sayed Mahmoud
(Department of Business Administration, College of Business, University of Bisha, Bisha 61922, Saudi Arabia)
- Komolov Odiljon Sayfidinovich
(Department of International Finance, Tashkent State University of Economics, 100066, Tashkent, Uzbekistan)
Abstract
[Purpose] This study asks whether settling international trade in the national currency enhances exchange rate stability in India, and whether the relationship is nonlinear, asymmetric, and horizon-dependent. Motivated by the Reserve Bank of India’s 2022 framework for international trade settlement in rupees and the broader fragmentation of the dollar-centric monetary order, it addresses a gap left by linear, mean-based studies. [Design/methodology/approach] Using monthly data from April 2002 to September 2025 (282 observations), the study combines maximal-overlap wavelet decomposition with quantile-on-quantile regression (WQQR) to estimate how a standardized National Currency Trade Settlement Index (NCTSI), a constructed proxy, relates to INR/USD exchange rate volatility (the inverse of stability) across short-, medium-, and long-run horizons and across the full distribution of both variables. [Findings] The aggregate association is modestly negative, but this masks pronounced heterogeneity. Over long horizons, national-currency settlement is significantly and negatively associated with volatility across most of the distribution, with the association strongest in high-volatility (turbulent) regimes; over medium horizons, it is weak and occasionally positive; and over short horizons, it is statistically negligible. The patterns are robust to alternative volatility measures, an alternative wavelet basis, and a post-2022 sub-sample that isolates the rupee-settlement framework era. [Implications] The results support an invoicing- and settlement-currency interpretation in which reduced reliance on a vehicle currency dampens imported volatility only gradually and most powerfully when external pressure is acute. For policymakers, national-currency settlement operates over long rather than short horizons (conditional on the proxy used), complementing reserves and intervention during periods of external stress rather than substituting for them. [Originality/value] The paper provides, to our knowledge, among the first horizon- and regime-explicit assessments of the settlement-stability nexus for the Indian rupee, extending the invoicing- and vehicle-currency literatures to the volatility margin for a major emerging economy.
Suggested Citation
Antanas Laurinavicius & Hussein Moselhy Sayed Ahmed & Algimantas Laurinavicius & Safaa Sayed Mahmoud & Komolov Odiljon Sayfidinovich, 2026.
"Does Settling Trade in National Currency Stabilize the Domestic Currencies? Nonlinear, Asymmetric, and Horizon-Dependent Evidence from Developing Economies,"
Advances in Decision Sciences, Asia University, Taiwan, vol. 30(3), pages 249-282, September.
Handle:
RePEc:aag:wpaper:v:30:y:2026:i:3:p:249-282
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JEL classification:
- F31 - International Economics - - International Finance - - - Foreign Exchange
- F33 - International Economics - - International Finance - - - International Monetary Arrangements and Institutions
- E58 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Central Banks and Their Policies
- C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
- G15 - Financial Economics - - General Financial Markets - - - International Financial Markets
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