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Dimitris G. Kirikos

Personal Details

First Name:Dimitris
Middle Name:G.
Last Name:Kirikos
Suffix:
RePEc Short-ID:pki145
[This author has chosen not to make the email address public]
https://sites.google.com/a/staff.teicrete.gr/kirikos/

Affiliation

Elliniko Mesogeiako Panepistimio

https://www.hmu.gr/
Greece, Heraklion

Research output

as
Jump to: Articles

Articles

  1. Dimitris G. Kirikos, 2022. "Are quantitative easing effects transitory? Evidence from out-of-sample forecasts," Journal of Financial Economic Policy, Emerald Group Publishing Limited, vol. 14(6), pages 811-822, October.
  2. Dimitris G. Kirikos, 2021. "Monetary policy effectiveness in the liquidity trap: a switching regimes approach," Review of Keynesian Economics, Edward Elgar Publishing, vol. 9(1), pages 139-155, January.
  3. Kirikos, Dimitris G., 2020. "Quantitative easing impotence in the liquidity trap: Further evidence," Economic Analysis and Policy, Elsevier, vol. 68(C), pages 151-162.
  4. Kirikos, Dimitris G., 2017. "Secular Stagnation: Is it in the Data?," Economia Internazionale / International Economics, Camera di Commercio Industria Artigianato Agricoltura di Genova, vol. 70(4), pages 411-418.
  5. Kirikos, Dimitris G., 2004. "A Reconsideration of Uncovered Interest Rate Parity under Switching Policy Regimes," Economia Internazionale / International Economics, Camera di Commercio Industria Artigianato Agricoltura di Genova, vol. 57(2), pages 125-144.
  6. Kirikos, Dimitris G, 2002. "Discrete Policy Interventions and Rational Forecast Errors in Foreign Exchange Markets: The Uncovered Interest Parity Hypothesis Revisited," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 7(4), pages 327-338, October.
  7. Dimitris Kirikos, 2000. "Forecasting exchange rates out of sample: random walk vs Markov switching regimes," Applied Economics Letters, Taylor & Francis Journals, vol. 7(2), pages 133-136.
  8. Dimitris G. Kirikos, 1998. "Stochastic Segmented Trends in the Exchange Rate: The Greek Drachma/U.S. Dollar Rate, 1981-1998," European Research Studies Journal, European Research Studies Journal, vol. 0(3), pages 41-50, July - Se.
  9. Dimitris Kirikos, 1996. "The role of the forecast-generating process in assessing asset market models of the exchange rate: a non-linear case," The European Journal of Finance, Taylor & Francis Journals, vol. 2(2), pages 125-144.
  10. Dimitris Kirikos, 1994. "Cointegration, risk aversion and real asset prices," Applied Economics Letters, Taylor & Francis Journals, vol. 1(12), pages 236-240.

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.

Articles

  1. Dimitris G. Kirikos, 2021. "Monetary policy effectiveness in the liquidity trap: a switching regimes approach," Review of Keynesian Economics, Edward Elgar Publishing, vol. 9(1), pages 139-155, January.

    Cited by:

    1. Kirikos, Dimitris G., 2020. "Quantitative easing impotence in the liquidity trap: Further evidence," Economic Analysis and Policy, Elsevier, vol. 68(C), pages 151-162.

  2. Kirikos, Dimitris G., 2020. "Quantitative easing impotence in the liquidity trap: Further evidence," Economic Analysis and Policy, Elsevier, vol. 68(C), pages 151-162.

    Cited by:

    1. Md Gyasuddin Ansari & Rudra Sensarma, 2021. "Response of Bank Lending to Monetary Policy in India: Does Liquidity Matter?Abstract: We examine the role of bank liquidity in monetary policy transmission in India. We apply threshold panel regressio," Working papers 428, Indian Institute of Management Kozhikode.

  3. Kirikos, Dimitris G., 2017. "Secular Stagnation: Is it in the Data?," Economia Internazionale / International Economics, Camera di Commercio Industria Artigianato Agricoltura di Genova, vol. 70(4), pages 411-418.

    Cited by:

    1. Kirikos, Dimitris G., 2020. "Quantitative easing impotence in the liquidity trap: Further evidence," Economic Analysis and Policy, Elsevier, vol. 68(C), pages 151-162.
    2. Wang, Lu & Wu, Jiangbin & Cao, Yang & Hong, Yanran, 2022. "Forecasting renewable energy stock volatility using short and long-term Markov switching GARCH-MIDAS models: Either, neither or both?," Energy Economics, Elsevier, vol. 111(C).

  4. Kirikos, Dimitris G., 2004. "A Reconsideration of Uncovered Interest Rate Parity under Switching Policy Regimes," Economia Internazionale / International Economics, Camera di Commercio Industria Artigianato Agricoltura di Genova, vol. 57(2), pages 125-144.

    Cited by:

    1. Lee, Hsiu-Yun & Chen, Show-Lin, 2006. "Why use Markov-switching models in exchange rate prediction?," Economic Modelling, Elsevier, vol. 23(4), pages 662-668, July.
    2. Beyaert, Arielle & Garcia-Solanes, Jose & Perez-Castejon, Juan J., 2007. "Uncovered interest parity with switching regimes," Economic Modelling, Elsevier, vol. 24(2), pages 189-202, March.

  5. Kirikos, Dimitris G, 2002. "Discrete Policy Interventions and Rational Forecast Errors in Foreign Exchange Markets: The Uncovered Interest Parity Hypothesis Revisited," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 7(4), pages 327-338, October.

    Cited by:

    1. Lee, Hsiu-Yun, 2011. "Nonlinear exchange rate dynamics under stochastic official intervention," Economic Modelling, Elsevier, vol. 28(4), pages 1510-1518, July.
    2. Tigran Poghosyan & Evzen Kocenda, 2006. "Foreign Exchange Risk Premium Determinants: Case of Armenia," William Davidson Institute Working Papers Series wp811, William Davidson Institute at the University of Michigan.
    3. Lee, Hsiu-Yun & Chen, Show-Lin, 2006. "Why use Markov-switching models in exchange rate prediction?," Economic Modelling, Elsevier, vol. 23(4), pages 662-668, July.
    4. Beyaert, Arielle & Garcia-Solanes, Jose & Perez-Castejon, Juan J., 2007. "Uncovered interest parity with switching regimes," Economic Modelling, Elsevier, vol. 24(2), pages 189-202, March.
    5. Lee, Hsiu-Yun & Lai, Hung-Pin, 2011. "A structural threshold model of the exchange rate under optimal intervention," Journal of International Money and Finance, Elsevier, vol. 30(6), pages 931-946, October.
    6. Tigran Poghosyan & Evžen KoÄenda & Petr ZemÄik, 2008. "Modeling Foreign Exchange Risk Premium in Armenia," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 44(1), pages 41-61, January.
    7. Peter Ubi & Ishaku Rimamtanung Nyiputen, 2020. "Uncovered Interest Rate Parity and Investment: A Tripartite Analysis of Nigeria, United States of America and China," International Journal of Financial Research, International Journal of Financial Research, Sciedu Press, vol. 11(2), pages 111-127, April.

  6. Dimitris Kirikos, 2000. "Forecasting exchange rates out of sample: random walk vs Markov switching regimes," Applied Economics Letters, Taylor & Francis Journals, vol. 7(2), pages 133-136.

    Cited by:

    1. Kelly Burns & Imad Moosa, 2017. "Demystifying the Meese–Rogoff puzzle: structural breaks or measures of forecasting accuracy?," Applied Economics, Taylor & Francis Journals, vol. 49(48), pages 4897-4910, October.
    2. Manamba Epaphra & Khatibu Kazungu, 2021. "Efficiency of Tanzania's foreign exchange market," African Development Review, African Development Bank, vol. 33(2), pages 368-381, June.
    3. Chien-Hsiu Lin & Shih-Kuei Lin & An-Chi Wu, 2015. "Foreign exchange option pricing in the currency cycle with jump risks," Review of Quantitative Finance and Accounting, Springer, vol. 44(4), pages 755-789, May.
    4. Imad Moosa & Kelly Burns, 2016. "The random walk as a forecasting benchmark: drift or no drift?," Applied Economics, Taylor & Francis Journals, vol. 48(43), pages 4131-4142, September.
    5. Chih-Nan Chen & Chien-Hsiu Lin, 2022. "Optimal carry trade portfolio choice under regime shifts," Review of Quantitative Finance and Accounting, Springer, vol. 59(2), pages 483-506, August.
    6. Michal Rubaszek & Pawel Skrzypczynski & Grzegorz Koloch, 2011. "Forecasting the Polish zloty with non-linear models," NBP Working Papers 81, Narodowy Bank Polski.
    7. Mastroeni, Loretta & Vellucci, Pierluigi & Naldi, Maurizio, 2019. "A reappraisal of the chaotic paradigm for energy commodity prices," Energy Economics, Elsevier, vol. 82(C), pages 167-178.
    8. Firat Melih Yilmaz & Ozer Arabaci, 2021. "Should Deep Learning Models be in High Demand, or Should They Simply be a Very Hot Topic? A Comprehensive Study for Exchange Rate Forecasting," Computational Economics, Springer;Society for Computational Economics, vol. 57(1), pages 217-245, January.
    9. Lee, Hsiu-Yun & Chen, Show-Lin, 2006. "Why use Markov-switching models in exchange rate prediction?," Economic Modelling, Elsevier, vol. 23(4), pages 662-668, July.
    10. Zhang, Rong & Ashuri, Baabak & Shyr, Yu & Deng, Yong, 2018. "Forecasting Construction Cost Index based on visibility graph: A network approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 493(C), pages 239-252.
    11. Oscar Claveria & Enric Monte & Petar Soric & Salvador Torra, 2022. ""An application of deep learning for exchange rate forecasting"," IREA Working Papers 202201, University of Barcelona, Research Institute of Applied Economics, revised Jan 2022.
    12. Stéphane Goutte & Raphaël Homayoun & Thomas Porcher, 2014. "A regime switching model to evaluate bonds in a quadratic term structure of interest rates," Working Papers hal-01090846, HAL.
    13. 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.
    14. Chien-Chung Nieh & Jeng-Bau Lin & Yu-Shan Wang, 2008. "Regime-switching analysis for the impacts of exchange rate volatility on corporate values: a Taiwanese case," Applied Economics, Taylor & Francis Journals, vol. 40(4), pages 491-504.
    15. Burns, Kelly & Moosa, Imad A., 2015. "Enhancing the forecasting power of exchange rate models by introducing nonlinearity: Does it work?," Economic Modelling, Elsevier, vol. 50(C), pages 27-39.
    16. A. C. -L. Chian & E. L. Rempel & C. Rogers, 2007. "Crisis-induced intermittency in non-linear economic cycles," Applied Economics Letters, Taylor & Francis Journals, vol. 14(3), pages 211-218.

  7. Dimitris G. Kirikos, 1998. "Stochastic Segmented Trends in the Exchange Rate: The Greek Drachma/U.S. Dollar Rate, 1981-1998," European Research Studies Journal, European Research Studies Journal, vol. 0(3), pages 41-50, July - Se.

    Cited by:

    1. Stamatopoulos Theodoros, 2005. "Trade Balance and Exchange-Rate for a Small Open Economy during the EMS: The Hellenic Case 1983:1-1995:12," International Finance 0505012, University Library of Munich, Germany.
    2. Stamatopoulos T., 2001. "Trade Balance and Exchange-Rate for a Small Open Economy During the EMS: The Hellinic Case 1983:1-1995:12," European Research Studies Journal, European Research Studies Journal, vol. 0(3-4), pages 121-140, July - De.

  8. Dimitris Kirikos, 1996. "The role of the forecast-generating process in assessing asset market models of the exchange rate: a non-linear case," The European Journal of Finance, Taylor & Francis Journals, vol. 2(2), pages 125-144.

    Cited by:

    1. Arielle Beyaert & Juan rez-Castej, 2000. "Switching regime models in the Spanish inter-bank market," The European Journal of Finance, Taylor & Francis Journals, vol. 6(2), pages 93-112.
    2. Dimitris Kirikos, 2000. "Forecasting exchange rates out of sample: random walk vs Markov switching regimes," Applied Economics Letters, Taylor & Francis Journals, vol. 7(2), pages 133-136.
    3. Arielle Beyaert & Juan Jose Perez-Castejon, 2009. "Markov-switching models, rational expectations and the term structure of interest rates," Applied Economics, Taylor & Francis Journals, vol. 41(3), pages 399-412.

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