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Market Volatility As a Financial Soundness Indicator: An Application to Israel

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  • Mr. Armando Méndez Morales
  • Miss Liliana B Schumacher

Abstract

Financial decisions of economic agents are based on volatility considerations. However, no aggregate indicators have been used by policymakers and regulators to assess the market risk environment. This paper applies a market volatility indicator to analyze the Israeli's transition toward inflation targeting. Unlike conventional measures of volatility, it shows a substantial decline once volatility is measured against the minimum variance for the same returns on assets. Using a conventional Multivariate GARCH model, we find that interest rates sensitivity to changes in the risk environment may be important for a correct identification of volatility patterns of individual assets.

Suggested Citation

  • Mr. Armando Méndez Morales & Miss Liliana B Schumacher, 2003. "Market Volatility As a Financial Soundness Indicator: An Application to Israel," IMF Working Papers 2003/047, International Monetary Fund.
    • Handle: RePEc:imf:imfwpa:2003/047
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    References listed on IDEAS

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    1. Nelson, Daniel B., 1990. "ARCH models as diffusion approximations," Journal of Econometrics, Elsevier, vol. 45(1-2), pages 7-38.
    2. Malliaropulos, Dimitrios, 1997. "A multivariate GARCH model of risk premia in foreign exchange markets," Economic Modelling, Elsevier, vol. 14(1), pages 61-79, January.
    3. Torben G. Andersen & Tim Bollerslev & Francis X. Diebold & Paul Labys, 1999. "The Distribution of Exchange Rate Volatility," New York University, Leonard N. Stern School Finance Department Working Paper Seires 99-059, New York University, Leonard N. Stern School of Business-.
    4. Alejandro M. Werner, 1996. "Target Zones and Realignment Expectations: The Israeli and Mexican Experiences," IMF Staff Papers, Palgrave Macmillan, vol. 43(3), pages 571-586, September.
    5. International Monetary Fund, 2002. "Financial Soundness Indicators: Analytical Aspects and Country Practices," IMF Occasional Papers 2002/003, International Monetary Fund.
    6. French, Kenneth R. & Schwert, G. William & Stambaugh, Robert F., 1987. "Expected stock returns and volatility," Journal of Financial Economics, Elsevier, vol. 19(1), pages 3-29, September.
    7. Theodossiou, Panayiotis, et al, 1997. "Volatility Reversion and Correlation Structure of Returns in Major International Stock Markets," The Financial Review, Eastern Finance Association, vol. 32(2), pages 205-224, May.
    8. Param Silvapulle & Robert Pereira & John Lee, 1997. "The impact of inflation rate announcements on interest rate volatility: Australian evidence," Applied Financial Economics, Taylor & Francis Journals, vol. 7(5), pages 559-566.
    9. Bollerslev, Tim, 1986. "Generalized autoregressive conditional heteroskedasticity," Journal of Econometrics, Elsevier, vol. 31(3), pages 307-327, April.
    10. Lucio Sarno, 1997. "Exchange rate and interest rate volatility in the European Monetary System: some further results," Applied Financial Economics, Taylor & Francis Journals, vol. 7(3), pages 255-263.
    11. Michael J. Artis & Mark P. Taylor, 1994. "The Stabilizing Effect of the ERM on Exchange Rates and Interest Rates: Some Nonparametric Tests," IMF Staff Papers, Palgrave Macmillan, vol. 41(1), pages 123-148, March.
    12. Mikiyo Kii Niizeki, 1998. "A comparison of short-term interest rate models: empirical tests of interest rate volatility," Applied Financial Economics, Taylor & Francis Journals, vol. 8(5), pages 505-512.
    13. Engle, Robert F & Lilien, David M & Robins, Russell P, 1987. "Estimating Time Varying Risk Premia in the Term Structure: The Arch-M Model," Econometrica, Econometric Society, vol. 55(2), pages 391-407, March.
    14. Mr. Manmohan S. Kumar & Mr. Avinash Persaud, 2001. "Pure Contagion and Investors Shifting Risk Appetite: Analytical Issues and Empirical Evidence," IMF Working Papers 2001/134, International Monetary Fund.
    15. Karolyi, G Andrew, 1995. "A Multivariate GARCH Model of International Transmissions of Stock Returns and Volatility: The Case of the United States and Canada," Journal of Business & Economic Statistics, American Statistical Association, vol. 13(1), pages 11-25, January.
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    Cited by:

    1. Mr. Rupert D Worrell, 2004. "Quantitative Assessment of the Financial Sector: An Integrated Approach," IMF Working Papers 2004/153, International Monetary Fund.

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