IDEAS home Printed from https://ideas.repec.org/r/bes/jnlbes/v5y1987i1p99-103.html
   My bibliography  Save this item

A Conditional Variance Model for Daily Deviations of an Exchange Rate

Citations

Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
as


Cited by:

  1. An-Sing Chen, 1997. "Volatility of exchange rate futures and high-low price spreads," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 21(1), pages 33-42, March.
  2. David Peel & Alan Speight, 1994. "Testing for non-linear dependence in inter-war exchange rates," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 130(2), pages 391-417, June.
  3. M A Sánchez-Granero & J E Trinidad-Segovia & J Clara-Rahola & A M Puertas & F J De las Nieves, 2017. "A model for foreign exchange markets based on glassy Brownian systems," PLOS ONE, Public Library of Science, vol. 12(12), pages 1-22, December.
  4. Evžen Kočenda, 1996. "Volatility of a Seemingly Fixed Exchange Rate," Eastern European Economics, Taylor & Francis Journals, vol. 34(6), pages 37-67, December.
  5. Kai-Li Wang & Christopher Fawson & Christopher B. Barrett & James B. McDonald, 2001. "A flexible parametric GARCH model with an application to exchange rates," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 16(4), pages 521-536.
  6. Meade, Nigel, 2002. "A comparison of the accuracy of short term foreign exchange forecasting methods," International Journal of Forecasting, Elsevier, vol. 18(1), pages 67-83.
  7. James J. Kung & E-Ching Wu, 2014. "Which Random Walk Best Portrays the Dynamics of the Japanese Yen?," Australian Economic Papers, Wiley Blackwell, vol. 53(3-4), pages 153-169, December.
  8. Richard T. Baillie & William P. Osterberg, 1991. "The risk premium in forward foreign exchange markets and G-3 central bank intervention: evidence of daily effects, 1985-1990," Working Papers (Old Series) 9109, Federal Reserve Bank of Cleveland.
  9. An-Sing Chen, 1997. "The square compass rose: the evidence from Taiwan," Journal of Multinational Financial Management, Elsevier, vol. 7(2), pages 127-144, June.
  10. Bhattacharyya, Malay & Chaudhary, Abhishek & Yadav, Gaurav, 2008. "Conditional VaR estimation using Pearson's type IV distribution," European Journal of Operational Research, Elsevier, vol. 191(2), pages 386-397, December.
  11. Rituparna Kar & Nityananda Sarkar, 2006. "Mean and volatility dynamics of Indian rupee/US dollar exchange rate series: an empirical investigation," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 13(1), pages 41-69, March.
  12. Karoll Gómez Portilla & Santiago Gallón Gómez, 2007. "Distribución condicional de los retornos de la tasa de cambio colombiana: un ejercicio empírico a partir de modelos GARCH multivariados," Revista de Economía del Rosario, Universidad del Rosario, December.
  13. Doroodian, K., 1999. "Does exchange rate volatility deter international trade in developing countries?," Journal of Asian Economics, Elsevier, vol. 10(3), pages 465-474.
  14. Carnero, María Ángeles, 2001. "Outliers and conditional autoregressive heteroscedasticity in time series," DES - Working Papers. Statistics and Econometrics. WS ws010704, Universidad Carlos III de Madrid. Departamento de Estadística.
  15. Lei, Li-Fen, 1992. "Using futures and option contracts to manage price and quantity risk: A case of corn farmers in central Iowa," ISU General Staff Papers 1992010108000011326, Iowa State University, Department of Economics.
  16. Siani, Carole & de Peretti, Christian, 2007. "Analysing the performance of bootstrap neural tests for conditional heteroskedasticity in ARCH-M models," Computational Statistics & Data Analysis, Elsevier, vol. 51(5), pages 2442-2460, February.
  17. Elyasiani, Elyas & Mansur, Iqbal, 1998. "Sensitivity of the bank stock returns distribution to changes in the level and volatility of interest rate: A GARCH-M model," Journal of Banking & Finance, Elsevier, vol. 22(5), pages 535-563, May.
  18. Cecen, A. Aydin & Erkal, Cahit, 1996. "Distinguishing between stochastic and deterministic behavior in high frequency foreign exchange rate returns: Can non-linear dynamics help forecasting?," International Journal of Forecasting, Elsevier, vol. 12(4), pages 465-473, December.
  19. Chen, An-Sing & Leung, Mark T., 1998. "Stochastic properties and predictability of intraday Taiwan exchange rates," International Review of Financial Analysis, Elsevier, vol. 7(3), pages 207-220.
  20. McCurdy, Thomas H & Morgan, Ieuan G, 1988. "Testing the Martingale Hypothesis in Deutsche Mark Futures with Models Specifying the Form of Heteroscedasticity," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 3(3), pages 187-202, July-Sept.
  21. Kocenda, Evzen, 1998. "Exchange rate in transition," MPRA Paper 32030, University Library of Munich, Germany.
  22. Alexakis, Panayotis & Apergis, Nicholas, 1996. "ARCH effects and cointegration: Is the foreign exchange market efficient?," Journal of Banking & Finance, Elsevier, vol. 20(4), pages 687-697, May.
  23. Vasilios Sogiakas, 2017. "On the implementation of asymmetric VaR models for managing and forecasting market risk," Journal of Applied Finance & Banking, SCIENPRESS Ltd, vol. 7(6), pages 1-2.
  24. Ruslana Rachel Palatnik & Tchai Tavor & Liran Voldman, 2019. "The Symptoms of Illness: Does Israel Suffer from “Dutch Disease”?," Energies, MDPI, vol. 12(14), pages 1-19, July.
  25. Kian Teng Kwek & Kuan Nee Koay, 2006. "Exchange rate volatility and volatility asymmetries: an application to finding a natural dollar currency," Applied Economics, Taylor & Francis Journals, vol. 38(3), pages 307-323.
  26. Aydin Cecen, A. & Erkal, Cahit, 1996. "Distinguishing between stochastic and deterministic behavior in foreign exchange rate returns: Further evidence," Economics Letters, Elsevier, vol. 51(3), pages 323-329, June.
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.