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Swiss Franc from the Croatian Perspective Cover
By: Mile Bošnjak  
Open Access
|Sep 2018

References

  1. 1. Arabi, K. A. M. (2012). ‘Estimation of Exchange Rate Volatility via GARCH Model Case Study Sudan (1978 - 2009)’, International Journal of Economics and Finance, Vol. 4, No. 11, pp. 183-192.10.5539/ijef.v4n11p183
  2. 2. Baltensperger, E, and Kugler, P. (2016). ‘The historical origins of the safe haven status of the Swiss franc. Aussenwirtschaft’, Vol. 67, No. 2, pp. 1-30.
  3. 3. Berüment, H. and Günay, A. (2003). ‘Exchange Rate Risk and Interest Rate: A Case Study for Turkey’, Open Economies Review, Vol. 14, No. 1, pp. 19-27.10.1023/A:1021243101272
  4. 4. Black, A. L., and McMillan, D. G. (2004). ‘Long-run Trends and Volatility Spillovers in Daily Exchange Rates’, Applied Financial Economics, Vol. 14, No. 12, pp. 895–907.10.1080/0960310042000203037
  5. 5. Bollerslev, T. (1986). ‘Generalized Autoregressive Conditional Heteroscedasticity’, Journal of Econometrics, Vol. 31, No. 6, pp. 307-327.10.1016/0304-4076(86)90063-1
  6. 6. Bošnjak, M., Bilas, V. and Novak I. (2016). ‘Modeling Exchange Rate Volatilities in Croatia”, Ekonomski Vjesnik/Econviews: Review of contemporary business, entrepreneurship and economic issues, Vol. 29, No. 1, pp. 81-94.
  7. 7. Buszko, M. and Krupa, D. (2015). ‘Foreign currency loans in Poland and Hungary – a comparative analysis’, Procedia Economics and Finance, No. 30, pp. 124 -136.10.1016/S2212-5671(15)01261-7
  8. 8. Çağlayan, E. Ü. and Dayıoğlu, T. (2013). ‘Modeling Exchange Rate Volatility in MIST Countries’, International Journal of Business and Social Science, Vol. 4, No. 12, pp. 47-59.
  9. 9. Coudert, V., Guillaumin, C. and Raymond, H. (2014). ‘Looking at the Other Side of Carry Trades: Are there any Safe Haven Currencies?’, CEPII Working Paper, No. 2014-03 – February.
  10. 10. Croatian National Bank, Bulletin, No. 202, April 2014-04-30, Statistical survey, Available at: http://www.hnb.hr/publikac/epublikac.htm (Accessed on: December 15, 2016).
  11. 11. Csajbók, A., Hudecz, A., and Tamási, B., (2009). ‘Foreign Currency Borrowing of Households in New EU Member States”, 6th Euroframe Conference on Economic Policy Issues in the European Union: Causes and consequences of the current financial crisis: What lessons for European Union countries? 12 June 2009, London
  12. 12. Dickey, D. A., and Fuller, W. A. (1981). ‘Likelihood ratio statistics for autoregressive time series with a unit root’, Econometrica, Vol. 49, No. 4, pp. 1057–1072.10.2307/1912517
  13. 13. Ding, Z., Granger, C. W. J. and Engle, R. F. (1993). ‘A Long Memory Property Of Stock Market Returns And A New Model”, Journal of Empirical Finance, Vol. 1, No. 1, pp. 83-106.10.1016/0927-5398(93)90006-D
  14. 14. Dumičić, M. (2016). ‘Financial Stability Indicators – The Case of Croatia’, Journal of Central Banking Theory and Practice, Vol. 5, No. 1, pp. 113–140.10.1515/jcbtp-2016-0006
  15. 15. Enders, W. (1995), Applied economic time series. New York: Wiley Inc.
  16. 16. Engle, R. F. (1982). ‘Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation”, Econometrica, Vol. 50, No. 4, pp. 987-1007.10.2307/1912773
  17. 17. Engle, R. F. and Lee, G. (1999). ‘A long-run and short-run component model of stock return volatility”. Cointegration, Causality, and Forecasting: A Festschrift in Honour of Clive WJ Granger, 475-497.10.1093/oso/9780198296836.003.0020
  18. 18. Glosten, L. R., Jagannathan, R. and Runkle, D. E. (1993). ‘On the Relation between the Expected Value and the Volatility of the Nominal Excess Return on Stocks”, Journal of Finance, Vol. 48, No. 5, pp. 1779-1801.10.1111/j.1540-6261.1993.tb05128.x
  19. 19. Grisse, C. and Nitschka, T. (2015). ‘On financial risk and the safe haven characteristics of Swiss franc exchange rates, Journal of Empirical Finance, Vol. 32, pp. 153–16410.1016/j.jempfin.2015.03.006
  20. 20. Higgs, H., Worthington, A. C. (2005). ‘Systematic Features of High-Frequency Volatility in Australian Electricity Markets: Intraday Patterns, Information arrival and Calendar Effects’, The Energy Journal, Vol. 26, No. 4, pp. 23-42.10.5547/ISSN0195-6574-EJ-Vol26-No4-2
  21. 21. Jović, Ž. (2016). ‘The Interaction Between FX and Credit Risk as an Example of Intersection of Monetary and Financial Stability Policy Goals – The Case of Serbia’, Journal of Central Banking Theory and Practice, Vol. 5, No. 2, pp. 133–155.10.1515/jcbtp-2016-0015
  22. 22. Kugler, P. and Weder di Mauro, B. (2005). ‘Why are Returns on Swiss Franc Asset so Low?”, Applied Economics Quarterly, Vol. 51, No. 3, pp. 351-372.
  23. 23. Li, D., Ghoshray, A. and Morley, B. (2012). ‘Measuring the Risk Premium in Uncovered Interest Parity Using the Component GARCH-M Model”. International Review of Economics and Finance, Vol. 24, pp 167–176.10.1016/j.iref.2012.02.001
  24. 24. Marreh, S., Olubusoye, O. E. and Kihoro, J. M. (2014). ‘Modeling Volatility in the Gambian Exchange Rates: An ARMA-GARCH Approach’, International Journal of Economics and Finance, Vol. 6, No. 10, pp. 118-128.10.5539/ijef.v6n10p118
  25. 25. Mitchell, H. and McKenzie, M. D. (2008). ‘A Comparison of Alternative Techniques for Selecting an Optimum ARCH Model”, Journal of Statistical Computation and Simulation. Vol. 78, No.1, pp. 51-67.10.1080/10629360600932857
  26. 26. Narsoo, J. (2016). ‘High Frequency Exchange Rate Volatility Modelling Using the Multiplicative Component GARCH”, International Journal of Statistics and Applications, Vol 6, No.1, pp. 8-14
  27. 27. Nelson, D. B. (1991). ‘Conditional Heteroscedasticity in Asset Returns: A New Approach’, Econometrica, Vol. 59, No. 2, pp. 347–370.10.2307/2938260
  28. 28. Ngowani, A. (2012). ‘RMB Exchange Rate Volatility and its Impact on FDI in Emerging Market Economies: The Case of Zambia’, International Journal of Business and Social Science, Vol. 3, No. 19, pp. 9-15.
  29. 29. Olowe, R. A. (2009). ‘Modeling Naira/Dollar exchange rate volatility: Application of GARCH and asymmetric models”, International Journal of Business Research Papers, Vol. 5, No. 3, pp. 378-398.
  30. 30. Poon, S. and Granger, C. W. J. (2001). ‘Forecasting Financial Market Volatility: A Review’, SSRN Electronic Journal, Available at SSRN: http://ssrn.com/abstract=268866.10.2139/ssrn.268866
  31. 31. Pramor, M. and Tamirisa, N. T. (2006). ‘Common Volatility Trends in the Central and Eastern European Currencies and the Euro”, IMF Working Paper No. 206.10.2139/ssrn.934465
  32. 32. Ronaldo, A. and Söderlind, P. (2010). ‘Safe Haven Currencies’, Review of Finance, Vol 14, No. 3, pp. 385-407.10.1093/rof/rfq007
  33. 33. Tanasković, S. and Jandrić, M. (2015) ‘Macroeconomic and Institutional Determinants of Non-performing Loans’, Journal of Central Banking Theory and Practice, Vol. 4, No. 1, pp. 47–62.10.1515/jcbtp-2015-0004
  34. 34. Taylor, S. (1986). Modeling Financial Time Series. New York: John Wiley & Sons.
  35. 35. Temesvary, J., (2016). ‘The drivers of foreign currency-based banking in Central and Eastern Europe’, Economics of Transition, Vol. 24, No. 2, pp. 233–25710.1111/ecot.12089
  36. 36. Ullah, S., Haider, S. Z. and Azim, P. (2012). ‘Impact of Exchange Rate Volatility on Foreign Direct Investment: A Case Study of Pakistan’, Pakistan Economic and Social Review, Vol. 50, No. 2, pp. 121-138.
  37. 37. Wang, J. and Yang, M. (2009). ‘Asymmetric volatility in the foreign exchange markets’, Journal of International Financial Markets, Institutions and Money, Vol. 19, No. 4, pp. 597–615.10.1016/j.intfin.2008.10.001
  38. 38. Watanabe, T. and Harada, K. (2006). ‘Effects of the bank of Japan’s intervention on Yen/Dollar exchange rate volatility’, J. Japanese Int. Economies, Vol. 20, No. 1, pp. 99–111.10.1016/j.jjie.2004.08.001
  39. 39. Zakoian, J. M. (1994). ‘Threshold Heteroskedastic Models”, Journal of Economic Dynamics and Control, Vol. 18, No. 5, pp. 931–952.10.1016/0165-1889(94)90039-6
  40. 40. De Bock, R. and de Carvalho Filho, I. (2013). ‘The Behavior of Currencies during Risk-off Episodes’, IMF Working Paper, WP/13/8.10.5089/9781557755308.001
  41. 41. Kugler, P. and Weder di Mauro, B. (2002). ‘The Puzzle of the Swiss Interest Rate Island: Stylized Facts and a New Interpretation’, Swiss Review of International Economic Relations, Vol. 57, No. 1, pp.49-63.
  42. 42. McFarland, J. W., Pettit, R. R. and Sung, S. K. (1982). ‘The Distribution of Foreign Exchange Price Changes: Trading Day Effect and Risk Management’, Journal of Finance, Vol. 37, No. 3, pp. 693-715.10.1111/j.1540-6261.1982.tb02218.x
Language: English
Page range: 41 - 56
Submitted on: Aug 2, 2017
Accepted on: Dec 27, 2017
Published on: Sep 10, 2018
Published by: Central Bank of Montenegro
In partnership with: Paradigm Publishing Services
Publication frequency: 3 issues per year

© 2018 Mile Bošnjak, published by Central Bank of Montenegro
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.