International Transaction Journal of Engineering, Management, & Applied Sciences & Technologies


:: International Transaction Journal of Engineering, Management, & Applied Sciences & Technologies TuEngr+QR-Code

ISSN 2228-9860
eISSN 1906-9642


Vol.12(5) (2021)


  1. Aghion, P., Bacchetta, P., Ranciere, R., & Rogoff, K. (2009). Exchange rate volatility and productivity growth: The role of financial development. Journal of Monetary Economics, 56(4), 494-513.
  2. Akaev, A. A., Ziyadullaev, N. S., Sarygulov, A. I., & Sokolov, V. N. (2017). Prognoznaya model' ekonomicheskoj dinamiki v usloviyah stagflyacii s uchetom volatil'nosti kursa nacional'noj valyuty [Forecast model of economic dynamics in the conditions of stagflation taking into account the volatility of the national currency exchange rate]. Problemy Prognozirovaniya, (3), 34-41.
  3. Asaturov, K. G. (2017). Determinanty sistematicheskogo riska: analiz na osnove rossijskogo fondovogo rynka [Determinants of systematic risk: analysis based on the Russian stock market]. Finance and Credit, 23(23), 1343-1363.
  4. Chinn, M., & Cheung, Y. W. (2019). Exchange rate models for a new era: Major and emerging market currencies. Journal of International Money and Finance, 95, 295-296.
  5. Colacito, R., & Croce, M. M. (2011). Risks for the long run and the real exchange rate. Journal of Political Economy, 119(1), 153-181.
  6. Cozma, A., & Reisinger, C. (2016). A mixed Monte Carlo and PDE variance reduction method for foreign exchange options under the Heston-CIR model. arXiv. org.
  7. Del Giudice, V., De Paola, P., & Cantisani, G. B. (2017). Valuation of real estate investments through Fuzzy Logic. Buildings, 7(1), 26.
  8. Filardo, A., & Nakajima, J. (2018). Effectiveness of unconventional monetary policies in a low-interest rate environment. No. 691, Bank for International Settlements.
  9. Fornaro, L. (2015). Financial crises and exchange rate policy. Journal of International Economics, 95(2), 202-215.
  10. Ghosh, A. R., Ostry, J. D., & Chamon, M. (2016). Two targets, two instruments: Monetary and exchange rate policies in emerging market economies. Journal of International Money and Finance, 60, 172-196.
  11. Horvath, J., & Zhong, J. (2019). Unemployment dynamics in emerging countries: Monetary policy and external shocks. Economic Modelling, 76, 31-49.
  12. Jim?nez-Rodr?guez, R., & Morales-Zumaquero, A. (2016). A new look at exchange rate pass-through in the G-7 countries. Journal of Policy Modeling, 38(5), 985-1000.
  13. Kapetanios, G., Mumtaz, H., Stevens, I., & Theodoridis, K. (2012). Assessing the economy?wide effects of quantitative easing. The Economic Journal, 122(564), F316-F347.
  14. Mauro, P., & Juhn, G. (2002). Long-Run Determinants of Exchange Rate Regimes. A Simple Sensitivity Analysis (No. 2002/104). International Monetary Fund.
  15. Nguyen, H. T., Walker, C. L., & Walker, E. A. (2018). A first course in fuzzy logic. CRC press.
  16. Ozkan, I., & Erden, L. (2015). Time-varying nature and macroeconomic determinants of exchange rate pass-through. International Review of Economics & Finance, 38, 56-66.
  17. Qiu, M., Cao, D., Su, H., & Gai, K. (2016). Data transfer minimization for financial derivative pricing using Monte Carlo simulation with GPU in 5G. International Journal of Communication Systems, 29(16), 2364-2374.
  18. Rodrik, D. (2007). The real exchange rate and economic growth: theory and evidence.
  19. Sztojanov, E., Stamatescu, G., & Sztojanov, I. (2016). Early-warning of financial crises based on fuzzy logic. In Soft Computing Applications (pp. 1109-1118). Springer, Cham.
  20. Vorontsovsky, A. V., & Vyunenko, L. F. (2017). Prognozirovanie indeksov real'nyh effektivnyh obmennyh kursov valyut s uchetom sluchajnogo faktora [Forecasting indices of real effective exchange rates of currencies taking into account a random factor]. Bulletin of Saint Petersburg University, Economy, (4), 522-549.

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