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Ulf G. Erlandsson

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First Name:Ulf
Middle Name:G.
Last Name:Erlandsson
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RePEc Short-ID:per25

Research output

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Jump to: Working papers Articles

Working papers

  1. Erlandsson, Ulf, 2005. "Transition Variables in the Markov-switching Model: Some Small Sample Properties," Working Papers 2005:25, Lund University, Department of Economics.
  2. Erlandsson, Ulf, 2004. "Reconnecting the Markov Switching Model with Economic Fundamentals," Working Papers 2004:4, Lund University, Department of Economics, revised 04 Nov 2004.
  3. Arias, Guillaume & Erlandsson, Ulf, 2004. "Regime switching as an alternative early warning system of currency crises - an application to South-East Asia," Working Papers 2004:11, Lund University, Department of Economics.
  4. Yin-Wong Cheung & Ulf G. Erlandsson, 2004. "Exchange Rates and Markov Switching Dynamics," CESifo Working Paper Series 1348, CESifo.
  5. Erlandsson, Ulf, 2002. "Regime Switches in Swedish Interest Rates," Working Papers 2002:5, Lund University, Department of Economics, revised 04 Mar 2005.

Articles

  1. Cheung, Yin-Wong & Erlandsson, Ulf G., 2005. "Exchange Rates and Markov Switching Dynamics," Journal of Business & Economic Statistics, American Statistical Association, vol. 23, pages 314-320, July.

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Working papers

  1. Erlandsson, Ulf, 2004. "Reconnecting the Markov Switching Model with Economic Fundamentals," Working Papers 2004:4, Lund University, Department of Economics, revised 04 Nov 2004.

    Cited by:

    1. Arias, Guillaume & Erlandsson, Ulf, 2004. "Regime switching as an alternative early warning system of currency crises - an application to South-East Asia," Working Papers 2004:11, Lund University, Department of Economics.

  2. Arias, Guillaume & Erlandsson, Ulf, 2004. "Regime switching as an alternative early warning system of currency crises - an application to South-East Asia," Working Papers 2004:11, Lund University, Department of Economics.

    Cited by:

    1. Irène Andreou & Gilles Dufrénot & Alain Sand-Zantman & Aleksandra Zdzienicka-Durand, 2009. "A forewarning indicator system for financial crises: the case of six Central and Eastern European countries," Post-Print halshs-00372728, HAL.
    2. Bolt, W. & Demertzis, D. & Diks, C.G.H. & Van der Leij, M.J., 2011. "Complex Methods in Economics: An Example of Behavioral Heterogeneity in House Prices," CeNDEF Working Papers 11-12, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.
    3. Thibaut Duprey & Benjamin Klaus, 2017. "How to Predict Financial Stress? An Assessment of Markov Switching Models," Staff Working Papers 17-32, Bank of Canada.
    4. D Bragoli & P Ganugi & G Ianulardo, 2009. "Gini’s Transvariation Analysis: An Application on Financial Crises in Developing Countries," Department of Economics Working Papers 16/09, University of Bath, Department of Economics.
    5. Katleho Makatjane & Ntebogang Moroke, 2021. "Predicting Extreme Daily Regime Shifts in Financial Time Series Exchange/Johannesburg Stock Exchange—All Share Index," IJFS, MDPI, vol. 9(2), pages 1-18, March.
    6. Kittelmann, Kristina & Tirpak, Marcel & Schweickert, Rainer & Vinhas de Souza, Lúcio, 2006. "From transition crises to macroeconomic stability? Lessons from a crises early warning system for Eastern European and CIS countries," Kiel Working Papers 1269, Kiel Institute for the World Economy (IfW Kiel).
    7. Daniela Bragoli & Piero Ganugi & Giancarlo Ianulardo, 2013. "Gini’s transvariation analysis: an application on financial crises in developing countries," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 40(1), pages 153-174, February.

  3. Yin-Wong Cheung & Ulf G. Erlandsson, 2004. "Exchange Rates and Markov Switching Dynamics," CESifo Working Paper Series 1348, CESifo.

    Cited by:

    1. Barbara Rossi, 2013. "Exchange rate predictability," Economics Working Papers 1369, Department of Economics and Business, Universitat Pompeu Fabra.
    2. Frédérique Bec & Mélika Ben Salem, 2020. "An asymmetrical overshooting correction model for G20 nominal effective exchange rates," PSE Working Papers hal-02908680, HAL.
    3. Girardin, Eric, 2011. "A De Facto Asian-Currency Unit Bloc in East Asia: It Has Been There but We Did Not Look for It," ADBI Working Papers 262, Asian Development Bank Institute.
    4. Chunming Yuan, 2008. "The Exchange Rate and Macroeconomic Determinants: Time-Varying Transitional Dynamics," UMBC Economics Department Working Papers 09-114, UMBC Department of Economics, revised 01 Nov 2009.
    5. George Jiang & Ingrid Lo, 2011. "Private Information Flow and Price Discovery in the U.S. Treasury Market," Staff Working Papers 11-5, Bank of Canada.
    6. Juselius, Katarina, 2014. "Testing for near I(2) trends when the signal to noise ratio is small," Economics Discussion Papers 2014-8, Kiel Institute for the World Economy (IfW Kiel).
    7. Medel, Carlos & Camilleri, Gilmour & Hsu, Hsiang-Ling & Kania, Stefan & Touloumtzoglou, Miltiadis, 2015. "Robustness in Foreign Exchange Rate Forecasting Models: Economics-based Modelling After the Financial Crisis," MPRA Paper 65290, University Library of Munich, Germany.
    8. Angela He & Alan Wan, 2009. "Predicting daily highs and lows of exchange rates: a cointegration analysis," Journal of Applied Statistics, Taylor & Francis Journals, vol. 36(11), pages 1191-1204.
    9. Cheung, Yin-Wong & Chinn, Menzie & Garcia Pascual, Antonio, 2003. "Empirical Exchange Rate Models of the Nineties: Are Any Fit to Survive?," Santa Cruz Center for International Economics, Working Paper Series qt5fc508pt, Center for International Economics, UC Santa Cruz.
    10. Karakatsani, Nektaria V. & Bunn, Derek W., 2008. "Forecasting electricity prices: The impact of fundamentals and time-varying coefficients," International Journal of Forecasting, Elsevier, vol. 24(4), pages 764-785.
    11. Chang, Kuang-Liang & Chen, Nan-Kuang & Leung, Charles Ka Yui, 2009. "Monetary Policy, Term Structure and Asset Return: Comparing REIT, Housing and Stock," MPRA Paper 23514, University Library of Munich, Germany.
    12. Lanouar Charfeddine & Dominique Guegan, 2008. "Is it possible to discriminate between different switching regressions models? An empirical investigation," PSE-Ecole d'économie de Paris (Postprint) halshs-00368358, HAL.
    13. Dark, Jonathan, 2015. "Futures hedging with Markov switching vector error correction FIEGARCH and FIAPARCH," Journal of Banking & Finance, Elsevier, vol. 61(S2), pages 269-285.
    14. Gábor Regős & Xibin Zhang, 2015. "Modeling the exchange rate using price levels and country risk," Cogent Economics & Finance, Taylor & Francis Journals, vol. 3(1), pages 1056928-105, December.
    15. Alexander, Carol & Kaeck, Andreas, 2008. "Regime dependent determinants of credit default swap spreads," Journal of Banking & Finance, Elsevier, vol. 32(6), pages 1008-1021, June.
    16. Karakatsani Nektaria V & Bunn Derek W., 2010. "Fundamental and Behavioural Drivers of Electricity Price Volatility," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 14(4), pages 1-42, September.
    17. Beckmann, Joscha & Czudaj, Robert, 2014. "Regime shifts and the Canada/US exchange rate in a multivariate framework," Economics Letters, Elsevier, vol. 123(2), pages 206-211.
    18. A. ISLAS & Víctor M. GUERRERO & Eliud SILVA, 2019. "Forecasting Remittances to Mexico with a Multi-State Markov-Switching Model Applied to the Trend with Controlled Smoothness," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(1), pages 38-56, March.
    19. Stéphane Goutte & Benteng Zou, 2012. "Continuous time regime switching model applied to foreign exchange rate," Working Papers hal-00643900, HAL.
    20. Yu-Fu Chen & Michael Funke & Richhild Moessner, 2017. "Informal one-sided target zone model and the Swiss franc," BIS Working Papers 660, Bank for International Settlements.
    21. Chen, Yu-Fu & Funke, Michael & Glanemann, Nicole, 2009. "A Soft Edge Target Zone Model: Theory And Application To Hong Kong," SIRE Discussion Papers 2009-61, Scottish Institute for Research in Economics (SIRE).
    22. Lanouar Charfeddine & Dominique Guegan, 2008. "Is it possible to discriminate between different switching regressions models? An empirical investigation," Post-Print halshs-00368358, HAL.
    23. Josh Stillwagon & Peter Sullivan, 2020. "Markov switching in exchange rate models: will more regimes help?," Empirical Economics, Springer, vol. 59(1), pages 413-436, July.
    24. Huisman, R. & Mahieu, R.J., 2007. "Revisiting Uncovered Interest Rate Parity: Switching Between UIP and the Random Walk," ERIM Report Series Research in Management ERS-2007-001-F&A, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    25. Sercan Eraslan, 2019. "Asymmetric arbitrage trading on offshore and onshore renminbi markets," Empirical Economics, Springer, vol. 57(5), pages 1653-1675, November.
    26. Beckmann, Joscha & Czudaj, Robert, 2014. "Effective exchange rates, current accounts and global imbalances," VfS Annual Conference 2014 (Hamburg): Evidence-based Economic Policy 100364, Verein für Socialpolitik / German Economic Association.
    27. Fady Barsoum & Sandra Stankiewicz, 2013. "Forecasting GDP Growth Using Mixed-Frequency Models With Switching Regimes," Working Paper Series of the Department of Economics, University of Konstanz 2013-10, Department of Economics, University of Konstanz.
    28. David Alaminos & M. Belén Salas & Manuel Á. Fernández-Gámez, 2023. "Quantum Monte Carlo simulations for estimating FOREX markets: a speculative attacks experience," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-21, December.
    29. Karakatsani, Nektaria V. & Bunn, Derek W., 2008. "Intra-day and regime-switching dynamics in electricity price formation," Energy Economics, Elsevier, vol. 30(4), pages 1776-1797, July.
    30. Malika Hamadi & Andreas Heinen, 2011. "Ownership Structure and Firm Performance : Evidence from a non-parametric panel," DEM Discussion Paper Series 11-16, Department of Economics at the University of Luxembourg.
    31. Alexandros Pasiouras & Theodoros Daglis, 2020. "The Dollar Exchange Rates in the Covid-19 Era: Evidence from 5 Currencies," European Research Studies Journal, European Research Studies Journal, vol. 0(Special 2), pages 352-361.
    32. T. G. Saji, 2019. "Can BRICS Form a Currency Union? An Analysis under Markov Regime-Switching Framework," Global Business Review, International Management Institute, vol. 20(1), pages 151-165, February.
    33. Adam, Tomáš & Benecká, Soňa & Matějů, Jakub, 2018. "Financial stress and its non-linear impact on CEE exchange rates," Journal of Financial Stability, Elsevier, vol. 36(C), pages 346-360.
    34. Robinson Kruse & Michael Frömmel & Lukas Menkhoff & Philipp Sibbertsen, 2012. "What do we know about real exchange rate nonlinearities?," Empirical Economics, Springer, vol. 43(2), pages 457-474, October.
    35. Xiaochun Liu, 2016. "Markov switching quantile autoregression," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 70(4), pages 356-395, November.
    36. Diteboho Xaba & Ntebogang Dinah Moroke & Ishmael Rapoo, 2019. "Modeling Stock Market Returns of BRICS with a Markov-Switching Dynamic Regression Model," Journal of Economics and Behavioral Studies, AMH International, vol. 11(3), pages 10-22.
    37. Erlandsson, Ulf, 2005. "Transition Variables in the Markov-switching Model: Some Small Sample Properties," Working Papers 2005:25, Lund University, Department of Economics.
    38. Chew Lian Chua & Sandy Suardi, 2005. "Is There a Unit Root in East-Asian Short-Term Interest Rates?," Melbourne Institute Working Paper Series wp2005n14, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.
    39. Constandina Koki & Stefanos Leonardos & Georgios Piliouras, 2020. "Exploring the Predictability of Cryptocurrencies via Bayesian Hidden Markov Models," Papers 2011.03741, arXiv.org, revised Dec 2020.
    40. Hamid Baghestani, 2009. "Evaluating random walk forecasts of exchange rates," Studies in Economics and Finance, Emerald Group Publishing Limited, vol. 26(3), pages 171-181, July.
    41. Carol Alexander & Andreas Kaeck, 2006. "Regimes in CDS Spreads: A Markov Switching Model of iTraxx Europe Indices," ICMA Centre Discussion Papers in Finance icma-dp2006-08, Henley Business School, University of Reading.
    42. Chunming Yuan, 2008. "Forecasting Exchange Rates: The Multi-State Markov-Switching Model with Smoothing," UMBC Economics Department Working Papers 09-115, UMBC Department of Economics, revised 01 Nov 2009.
    43. Koki, Constandina & Leonardos, Stefanos & Piliouras, Georgios, 2022. "Exploring the predictability of cryptocurrencies via Bayesian hidden Markov models," Research in International Business and Finance, Elsevier, vol. 59(C).
    44. Erlandsson, Ulf, 2004. "Reconnecting the Markov Switching Model with Economic Fundamentals," Working Papers 2004:4, Lund University, Department of Economics, revised 04 Nov 2004.
    45. P. Fulya Gebeşoğlu & Hasan Murat Ertuğrul, 2014. "GDP Volatility Spillovers from the US and EU to Turkey: A Dynamic Investigation," Ekonomi-tek - International Economics Journal, Turkish Economic Association, vol. 3(2), pages 51-66, May.
    46. Davood Pirayesh Neghab & Mucahit Cevik & M. I. M. Wahab, 2023. "Explaining Exchange Rate Forecasts with Macroeconomic Fundamentals Using Interpretive Machine Learning," Papers 2303.16149, arXiv.org.
    47. Wu, Jyh-Lin & Hu, Yu-Hau, 2009. "New evidence on nominal exchange rate predictability," Journal of International Money and Finance, Elsevier, vol. 28(6), pages 1045-1063, October.
    48. Konstantinos N. Konstantakis & Ioannis G. Melissaropoulos & Theodoros Daglis & Panayotis G. Michaelides, 2023. "The euro to dollar exchange rate in the Covid‐19 era: Evidence from spectral causality and Markov‐switching estimation," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 28(2), pages 2037-2055, April.
    49. Hasan Murat Ertugrul & Huseyin Ozturk, 2013. "The Drivers of Credit Default Swap Prices: Evidence from Selected Emerging Market Countries," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 49(S5), pages 228-249, November.

  4. Erlandsson, Ulf, 2002. "Regime Switches in Swedish Interest Rates," Working Papers 2002:5, Lund University, Department of Economics, revised 04 Mar 2005.

    Cited by:

Articles

  1. Cheung, Yin-Wong & Erlandsson, Ulf G., 2005. "Exchange Rates and Markov Switching Dynamics," Journal of Business & Economic Statistics, American Statistical Association, vol. 23, pages 314-320, July.
    See citations under working paper version above.Sorry, no citations of articles recorded.

More information

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Statistics

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Co-authorship network on CollEc

NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 5 papers announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.
  1. NEP-ECM: Econometrics (3) 2004-02-01 2004-03-22 2005-04-03
  2. NEP-ETS: Econometric Time Series (3) 2002-03-14 2004-02-01 2005-04-03
  3. NEP-FIN: Finance (2) 2004-03-22 2004-12-12
  4. NEP-IFN: International Finance (2) 2004-03-22 2004-12-12
  5. NEP-CBA: Central Banking (1) 2002-03-14
  6. NEP-DEV: Development (1) 2004-03-22
  7. NEP-MAC: Macroeconomics (1) 2005-04-03
  8. NEP-RMG: Risk Management (1) 2004-03-22
  9. NEP-SEA: South East Asia (1) 2004-03-22

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