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On the Random Walk Characteristics of Short- and Long-Term Interest Rates in an Efficient Market

Citations

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Cited by:

  1. Deaves, Richard & Melino, Angelo & Pesando, James E., 1987. "The response of interest rates to the Federal Reserve's weekly money announcements : The 'puzzle' of anticipated money," Journal of Monetary Economics, Elsevier, vol. 19(3), pages 393-404, May.
  2. Kelly, Logan J, 2008. "The Currency Equivalent Index and the Current Stock of Money," MPRA Paper 7176, University Library of Munich, Germany.
  3. Nicolaas Groenewold & Kuay Chin Kang, 1993. "The Semi‐Strong Efficiency of the Australian Share Market," The Economic Record, The Economic Society of Australia, vol. 69(4), pages 405-410, December.
  4. Michalis Skourtos & Dimitris Damigos & Areti Kontogianni & Christos Tourkolias & Alistair Hunt, 2019. "Embedding Preference Uncertainty for Environmental Amenities in Climate Change Economic Assessments: A “Random” Step Forward," Economies, MDPI, vol. 7(4), pages 1-22, October.
  5. Hamid Baghestani & Mohammad Arzaghi & Ilker Kaya, 2015. "On the accuracy of Blue Chip forecasts of interest rates and country risk premiums," Applied Economics, Taylor & Francis Journals, vol. 47(2), pages 113-122, January.
  6. V. Vance Roley, 1982. "The Response of Short-Term Interest Rates to Weekly Money Announcements," NBER Working Papers 1001, National Bureau of Economic Research, Inc.
  7. Fisher, Douglas & Fleissig, Adrian R. & Serletis, Apostolos, 1998. "Monetary aggregation, rational expectations, and the demand for money in the United States," The North American Journal of Economics and Finance, Elsevier, vol. 9(1), pages 1-13.
  8. Hamid Baghestani & Ajalavat Viriyavipart, 2019. "Do factors influencing consumer home-buying attitudes explain output growth?," Journal of Economic Studies, Emerald Group Publishing Limited, vol. 46(5), pages 1104-1115, August.
  9. Hamid Hasan, 1999. "Fisher Effect in Pakistan," The Pakistan Development Review, Pakistan Institute of Development Economics, vol. 38(2), pages 153-166.
  10. Bauer, Dietmar & Wagner, Martin, 2009. "Using subspace algorithm cointegration analysis: Simulation performance and application to the term structure," Computational Statistics & Data Analysis, Elsevier, vol. 53(6), pages 1954-1973, April.
  11. Zhongliang Tuo, 2013. "Hedging Against the Interest-rate Risk by Measuring the Yield-curve Movement," Papers 1312.6841, arXiv.org.
  12. Hamid Baghestani, 2022. "Mortgage rate predictability and consumer home-buying assessments," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 46(3), pages 593-603, July.
  13. van Ommeren, Bernard J.F. & Allers, Maarten A. & Vellekoop, Michel H., 2017. "Choosing the optimal moment to arrange a loan," Research Report 17007-EEF, University of Groningen, Research Institute SOM (Systems, Organisations and Management).
  14. Kim Oosterlinck & Jeremy Simon, 2015. "Financial Repression and Bond Market Efficiency: the Case of Italy during World War II," Working Papers CEB 15-001, ULB -- Universite Libre de Bruxelles.
  15. Kelly, Logan, 2007. "Measuring the Economic Stock of Money," MPRA Paper 4914, University Library of Munich, Germany.
  16. Sundell, Paul & Denbaly, Mark, 1992. "Modeling Long-Term Government Bond Yields: An Efficient Market Approach," Staff Reports 278623, United States Department of Agriculture, Economic Research Service.
  17. Jurgen Wolters, 1998. "Cointegration and German bond yields," Applied Economics Letters, Taylor & Francis Journals, vol. 5(8), pages 497-502.
  18. Kladívko, Kamil & Österholm, Pär, 2021. "Do market participants’ forecasts of financial variables outperform the random-walk benchmark?," Finance Research Letters, Elsevier, vol. 40(C).
  19. I. G. Sharpe, 1983. "New Information and Australian Equity Returns: A Multivariate Analysis," Australian Journal of Management, Australian School of Business, vol. 8(1), pages 21-34, June.
  20. Baghestani, Hamid, 2009. "Forecasting in efficient bond markets: Do experts know better?," International Review of Economics & Finance, Elsevier, vol. 18(4), pages 624-630, October.
  21. Josheski Dushko & Apostolov Mico, 2021. "Equilibrium Short-Rate Models Vs No-Arbitrage Models: Literature Review and Computational Examples," Econometrics. Advances in Applied Data Analysis, Sciendo, vol. 25(3), pages 42-71, September.
  22. Hamid Baghestani, 2008. "Consensus vs. Time‐series Forecasts of US 30‐year Home Mortgage Rates," Journal of Property Research, Taylor & Francis Journals, vol. 25(1), pages 45-60, January.
  23. Baghestani, Hamid, 2008. "A random walk approach to predicting US 30-year home mortgage rates," Journal of Housing Economics, Elsevier, vol. 17(3), pages 225-233, September.
  24. Roley, V Vance & Walsh, Carl E, 1984. "Unanticipated Money and Interest Rates," American Economic Review, American Economic Association, vol. 74(2), pages 49-54, May.
  25. Massimo Guidolin & Serena Ionta, 2025. "Forecasting Asset Returns Using Nelson–Siegel Factors Estimated from the US Yield Curve," Econometrics, MDPI, vol. 13(2), pages 1-36, April.
  26. Hamid Baghestani & Liliana Danila, 2014. "Interest Rate and Exchange Rate Forecasting in the Czech Republic: Do Analysts Know Better than a Random Walk?," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 64(4), pages 282-295, September.
  27. James D. Hamilton, 2017. "Why You Should Never Use the Hodrick-Prescott Filter," NBER Working Papers 23429, National Bureau of Economic Research, Inc.
  28. Chiang, Thomas C. & Chiang, Jeanette Jin, 1995. "Emperical analysis of short-term eurocurrency rates: Evidence from a transfer function error correction model," Journal of Economics and Business, Elsevier, vol. 47(4), pages 335-351, October.
  29. Enzo Weber & Jürgen Wolters, 2012. "The US term structure and central bank policy," Applied Economics Letters, Taylor & Francis Journals, vol. 19(1), pages 41-45, January.
  30. Yvon Fauvel & Alain Paquet & Christian Zimmermann, 1999. "A Survey on Interest Rate Forecasting," Cahiers de recherche CREFE / CREFE Working Papers 87, CREFE, Université du Québec à Montréal.
  31. Hamid Baghestani, 2017. "Do US consumer survey data help beat the random walk in forecasting mortgage rates?," Cogent Economics & Finance, Taylor & Francis Journals, vol. 5(1), pages 1343017-134, January.
  32. Beechey, Meredith & Österholm, Pär & Poon, Aubrey, 2023. "Estimating the US trend short-term interest rate," Finance Research Letters, Elsevier, vol. 55(PA).
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