The Impact of Macroeconomic News on US Interest Rates and Stock Indices Conditional on Their Volatility

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This paper investigates the impact of macroeconomic news on the dynamics of interest rates and stock returns during "low" and "high" volatility periods. These periods are determined by estimating asset dynamics using a SWARCH process. Our results suggest that securities volatility is higher during periods of financial or economic instability. We use these results to evaluate the impact of news during "low" and "high" volatility  periods using a GARCH model. News effects, especially “good” and “large” news, on interest rates are amplified during "high" uncertainty periods. The effect on stock returns is moderate. GARCH parameters differ strongly during both periods.

  1. Ederington and Lee. How markets process information: news releases and volatility. The Journal of Finance, (4): 1161–1191, 1993.  |   Google Scholar
  2. M.J. Fleming and E.M. Remolona. Price formation and liquidity in the u.s. treasury market: Evidence from intraday patterns around announcements. Reserve Bank of New York, (27), 1997.  |   Google Scholar
  3. Fleming and Remolona. What moves bond prices? Journal of Portfolio Management, 25(4):28–38, 1999. [4] J.T. Bollerslev and J. Cai and F. Song. Intraday periodicity, long memory volatility and macroeconomic announcement effects in the us treasury bond market. Journal of Empirical Finance, 7:37–55, 2000.  |   Google Scholar
  4. P. Balduzzi and E.J. Elton and T.C. Green. Economic news and bond prices: Evidence from the u.s. treasury market. Journal of Financial and Quantitative Analysis, 36(4): 523–43, 2001.  |   Google Scholar
  5. Ito and Roley, 1987  |   Google Scholar
  6. G. A. Hardouvelis. Economic news, exchange rates and interest rates. Journal of International Money and Finance, 7:23–35, 1988.  |   Google Scholar
  7. F. Fornari, C. Monticelli, M. Pericoli, and M. Tivegna. The impact of news on the exchange rate of the lira and long-term interest rates. Economic Modelling, (19):611–639, 2002.  |   Google Scholar
  8.  |   Google Scholar
  9. T.G. Andersen and F.X. Diebold, T. Bollerslev and C. Vegad. Real-time price discovery in stock, bond and foreign exchange markets. The Journal of Finance, 2004.  |   Google Scholar
  10. A. Almeida, C. A. E. Goodhart, and R. Payne. The effects of macroeconomic news on high frequency exchange rate behavior. Journal of Financial and Quantitative Analysis, 33(3):383–408, 1998.  |   Google Scholar
  11. Faust et al., 2007  |   Google Scholar
  12. Schwert, G. (1981), „The adjustment of Stock Prices to Information about Inflation,‟ Journal of Finance, 36, 15-29.  |   Google Scholar
  13. Pearce D. K and Roley, V, (1985) „Stock Prices and Economic News,‟ Journal of Business, University of Chicago Press, vol. 58(1), pages 49-67  |   Google Scholar
  14. Hardouvelis, 1987  |   Google Scholar
  15. Fair, R. (2003): Shock Effects on Stocks, Bonds and Exchange Rates, Journal of International Money and Finance, 22, pp.307-341.  |   Google Scholar
  16. Bernanke B. S. and K. N. Kuttner, 2005. „What Explains the Stock Market's Reaction to Federal Reserve Policy?,‟ Journal of Finance, American Finance Association, vol. 60(3), pages 1221-1257  |   Google Scholar
  17. A.V. Banerjee. A simple model of herd behavior. Quarterly Journal of Economics, 93(3), 1992.  |   Google Scholar
  18. Bikchandani, H. and Welch (1992), 'A theory of fads, fashion, custom and cultural change as information cascades', Journal of Political Economy 100, 992-1026.  |   Google Scholar
  19. G. McQueen and V. Roley. Stock prices, news, and business conditions. Review of Financial Studies, 6(3): 683–707, 1993.  |   Google Scholar
  20. P. Veronesi. Stock market overreaction to bad news in good times: A rational expectations equilibrium model. Review of Financial Studies, 12(5):975–1007, 1999.  |   Google Scholar
  21. Andersen, T. G., Bollerslev, T., Diebold, F. X. and Vega, C. (2004), 'Real-time price discovery in stock, bond and foreign exchange markets', The Journal of Finance.  |   Google Scholar
  22. A. Basistha and A. Kurov. Macroeconomic cycles and the stock market’s reaction to monetary policy. Journal of Banking and Finance, 32:2606–2616, 2008.  |   Google Scholar
  23. A. Haldane and V. Read. Monetary policy and the yield curve. Bank of England Quarterly Bulletin, pages 171–176, May 1999.  |   Google Scholar
  24. T. Ellingsen and U. Soderstrom. Monetary policy and market interest rates. American Economic Review, 91 (5):1594–1607, 2001.  |   Google Scholar
  25. J. Chadha and C. Nolan. Inflation targeting, transparency and interest rate volatility: Ditching ’monetary mystique’ in the uk. Journal of Macroeconomics, 23(3):349–366, 2001.  |   Google Scholar
  26. N. Parent. Transparence et rtin des taux d’intt publication podique des donn macronomiques. Revue de la Banque du Canada, Hiver 2002-2003:31–37, 2003.  |   Google Scholar
  27. R. A. Connolly and Kohler. News and interest rate expectations: a study of six central banks. Research Discussion Paper, (2004-10), 2004.  |   Google Scholar
  28. S. Tuysuz. Does the feds transparency is the main factor influencing the response of u.s. interest rates to macroeconomic and monetary news? Middle Eastern Finance and Economics, 2011.  |   Google Scholar
  29. S. Tuysuz. Has the independence of the bank of england changed the reaction of interest rates to macroeconomic and monetary news? International Research Journal of Applied Finance, 255*, 2011.  |   Google Scholar
  30. M. Ehrmann and M. Fratzcher. Equal size, equal role? interest rate independence between the euro area and the united states. Economic Journal, 115:930–950, 2005a.  |   Google Scholar
  31. Ehrmann, M. and Fratzscher, M. (2005b), „Equal size, equal role? interest rate interdependence between the euro area and the united states‟, The Economic Journal 115(506), 928–948.  |   Google Scholar
  32. J. Hamilton and R. Susmel. Autoregressive conditionnal heteroskedasticity and changes in regime. Journal of Econometrics, pages 307–333, 1994.  |   Google Scholar
  33. F. H. Knight. Risk, uncertainty and profit. Boston, r. New York, A. M. Kelley 1964, 1921.  |   Google Scholar
  34. J. Cai. A markov model of switching-regime arch. Journal of Business and Economic Statistics, 12:309–316, 1994.  |   Google Scholar
  35. M. Kalimipalli and R. Susmel. Regime-switching stochastic volatility and short-term interest rates. fortcoming, 2001.  |   Google Scholar
  36. S. Edwards. Interest rate volatility, capital controls and contagion. NBER Working Paper, (6756), 1998.  |   Google Scholar
  37. S. Edwards and R. Susmel. Interest rate volatility and contagion in emerging markets. NBER, 2000.  |   Google Scholar
  38. C. E. Alper and K. Yilmaz. Volatility and contagion: evidence from the istanbul stock exchange. Economic Systems, 28:353–367, 2004.  |   Google Scholar
  39. M. T. Hon, J. K. Strauss, and S.-K. Yong. Deconstructing the nasdaq bubble: A look at contagion across international stock markets. Journal of International Financial Markets Institutions and Money, 2005.  |   Google Scholar
  40. S. Demiralp and O. Jorda. The announcement effect: evidence from open market desk data. Economic Policy Review, Federal Reserve Bank of New York, May:29–48, 2002.  |   Google Scholar
  41. R. F. Engle. Autoregressive conditional heteroscedasticity with estimates of the variance of united kingdom inflation. Econometrica, 50:987–1006, 1982.  |   Google Scholar
  42. T. Bollerslev. Generalized autoregressive condional heteroskedasticity. Journal of Econometrics, 31:307–327, 1986.  |   Google Scholar
  43. G. Galati and C. Ho. Macroeconomic news and the euro/dollar exchange rate. Bank for International Settlements (BIS) Working Paper, 45:305–317, 2001.  |   Google Scholar
  44. D. P. Morgan. Asymetric effects of monetary policy. Federal Reserve Bank of Kansas City Economic Review, (78):21–33, 1993.  |   Google Scholar
  45. C. Christiansen. Macroeconomic announcement effects on the covariance structure of government bond returns. Journal of Empirical Finance, (7):479–507, 2000.  |   Google Scholar
  46. S-J. Kim, M. D. McKenzie, and R. W. Faff. Macroeconomic news announcements and the role of expectations: evidence for us bond, stock and foreign exchange markets. Journal of Multinational Financial Management, 14:217–232, 2004.  |   Google Scholar
  47. C.M. Jones, O. Lamont, and R.L. Lumsdaine. Macroeconomic news and bond markets volatility. Journal of Financial Economics, 47:315–337, 1998.  |   Google Scholar
  48. S-J. Kim and J. Sheen. International linkages and macroeconomic news effects in interest rate volatility - autralia and the us. Pacific-Basin Finance Journal, 8(1): 85–113, 2000.  |   Google Scholar
  49. M. Ehrmann, M. Fratzcher, R. Grkaynak, and E. T.  |   Google Scholar
  50. Swanson. Convergence and anchoring of yield curves in the euro area. CEPR Discussion Paper, (6456), 2007.  |   Google Scholar
  51. Bai X., Russell J. and Tiao G. (2004) Effects of Non-Normality and Dependence on the Precision of Variance Estimates Using High-Frequency Data‟, Working Paper, University of Chicago.  |   Google Scholar
  52. Brenner M., Pasquariello P. and Subrahmanyam M. (2009) „On the Volatility and Comovement of U.S. Financial Markets around Macroeconomic News Announcements‟ Journal of Financial and Quantitative Analysis, 44, 1265-1289  |   Google Scholar
  53. E. Zivot and D.W.K. Andrews. Further evidence on the great crash, the oil-price shock, and unit-root hypothesis. Journal of Business and Economic Statistics, 10(3):251–270, 1992.  |   Google Scholar
  54. B. Seo. Distribution theory for unit root tests with  |   Google Scholar
  55. conditional heteroskedasticity. Journal of Econometrics,  |   Google Scholar
  56. (1):113–144, 1999.  |   Google Scholar
  57. K.N. Kuttner. Monetary policy surprises and interest rates: Evidence from the fed funds futures market. Journal of Monetary Economics, 47(3):523–544, 2001.  |   Google Scholar
  58. K. Ross. Market predictability of ecb monetary policy decisions: A comparative examination. IMF Working Paper, (02/233.), 2002.  |   Google Scholar
  59. M. Erhmann and M. Fratzscher. Interdependence between the euro area and the us: What role for the emu? European Central Bank Working Paper, (200.), 2002.  |   Google Scholar
  60. R.S. Gurkaynak, B.P. Sack, and E.T. Swanson. Marketbased measures of monetary policy expectations. Journal of Business and Economic Statistics, 25:201–12, 2007.  |   Google Scholar
  61. P. Balduzzi, G. Bertola, and S. Foresi. A model of target changes and the term structure of interest rates. Journal of Monetary Economics, 39(2):223–249, 1997.  |   Google Scholar
  62. T. Bollerslev, R.Y. Chou, and K. F. Kroner:. Arch modelling in finance: A. review of the theory and empirical evidence. Journal of Econometrics, 52:5–60, 1992.  |   Google Scholar
  63. C. G. Lamoureux and W. D. Lastrapes. Forecasting  |   Google Scholar
  64. stock-return variance: Toward an understanding of stochastic implied volatilities. Review of Financial Studies, Oxford University Press for Society for Financial Studies, 6(2):293–326, 1993.  |   Google Scholar
  65. F. Black. Studies of stock, price volatility changes. Proceedings of the 1976 meetings of the Business and Economics Statistics Section, American Statistical Association., 1976.  |   Google Scholar
  66. D.B. Nelson. Conditional heteroskedasticity in asset returns. Econometric, 59:347–370, 1991.  |   Google Scholar
  67. Engle, R. F. And Ng V.K. (1993) „Measuring and testing the impact of news on volatility‟, Journal of Finance, 48, 1749-78  |   Google Scholar
  68. Gray, S. (1996), 'Modelling the conditional distribution of interest rates as a regime switching process', Journal of Financial Economics 42.  |   Google Scholar

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Tuysuz, S., & Lubochinsky, C. (2019). The Impact of Macroeconomic News on US Interest Rates and Stock Indices Conditional on Their Volatility. European Journal of Business and Management Research, 4(4). https://doi.org/10.24018/ejbmr.2019.4.4.48

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 Sukriye Tuysuz
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 Catherine Lubochinsky
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