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Peter Vlaar

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. Peter Vlaar & Ard den Reijer, 2004. "Forecasting inflation: An art as well as a science!," Computing in Economics and Finance 2004 148, Society for Computational Economics.

    Cited by:

    1. Albacete, Rebeca, 2005. "Forecasting inflation in the euro area using monthly time series models and quarterly econometric models," DES - Working Papers. Statistics and Econometrics. WS ws050401, Universidad Carlos III de Madrid. Departamento de Estadística.
    2. Thiago Carlomagno Carlo & Emerson Fernandes Marçal, 2016. "Forecasting Brazilian inflation by its aggregate and disaggregated data: a test of predictive power by forecast horizon," Applied Economics, Taylor & Francis Journals, vol. 48(50), pages 4846-4860, October.
    3. Mihaela SIMIONESCU, 2014. "Improving The Inflation Rate Forecasts Of Romanian Experts Using A Fixed-Effects Models Approach," Review of Economic and Business Studies, Alexandru Ioan Cuza University, Faculty of Economics and Business Administration, issue 13, pages 87-102, June.
    4. Aron, Janine & Muellbauer, John, 2012. "Improving forecasting in an emerging economy, South Africa: Changing trends, long run restrictions and disaggregation," International Journal of Forecasting, Elsevier, vol. 28(2), pages 456-476.
    5. David F. Hendry & Kirstin Hubrich, 2011. "Combining Disaggregate Forecasts or Combining Disaggregate Information to Forecast an Aggregate," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 29(2), pages 216-227, April.
    6. Hughes Hallett, Andrew & Demertzis, Maria, 2005. "Forming Rational Expectations and When it is Right to be 'Wrong'," CEPR Discussion Papers 5042, C.E.P.R. Discussion Papers.
    7. Andrejs Bessonovs & Olegs Krasnopjorovs, 2020. "Short-Term Inflation Projections Model and Its Assessment in Latvia," Working Papers 2020/01, Latvijas Banka.
    8. Chalmovianský, Jakub & Porqueddu, Mario & Sokol, Andrej, 2020. "Weigh(t)ing the basket: aggregate and component-based inflation forecasts for the euro area," Working Paper Series 2501, European Central Bank.
    9. Bruneau, C. & De Bandt, O. & Flageollet, A. & Michaux, E., 2003. "Forecasting Inflation using Economic Indicators: the Case of France," Working papers 101, Banque de France.
    10. Alex Ilek, 2007. "Aggregation versus Disaggregation - What can we learn from it?," Bank of Israel Working Papers 2007.02b, Bank of Israel.
    11. Roma, Moreno & Skudelny, Frauke & Benalal, Nicholai & Diaz del Hoyo, Juan Luis & Landau, Bettina, 2004. "To aggregate or not to aggregate? Euro area inflation forecasting," Working Paper Series 374, European Central Bank.
    12. Julius Stakenas, 2015. "Forecasting Lithuanian Inflation," Bank of Lithuania Working Paper Series 17, Bank of Lithuania.
    13. Demertzis, Maria & Hughes Hallett, Andrew, 2008. "Asymmetric information and rational expectations: When is it right to be "wrong"?," Journal of International Money and Finance, Elsevier, vol. 27(8), pages 1407-1419, December.

  2. Kirstin Hubrich & Peter J. G. Vlaar, 2000. "Germany and the Euro Area: Differences in the Transmission Process of Monetary Policy," Econometric Society World Congress 2000 Contributed Papers 1802, Econometric Society, revised 08 Nov 2000.

    Cited by:

    1. Martha Misas A>rango & Enrique López Enciso & Juana Téllez Corredor & José Fernando Escobar Restrepo, 2005. "La Inflación Subyacente En Colombia: Un Enfoque De Tendencias Estocásticas Comunes Asociadas A Un Vec Estructural," Borradores de Economia 3026, Banco de la Republica.
    2. Juan José Echavarría Soto & Enrique López Enciso & Martha Misas Arango, 2008. "La tasa de cambio real de equilibrio en Colombia y su desalineamiento: estimación a través de un modelo SVEC," Revista ESPE - Ensayos Sobre Política Económica, Banco de la República, vol. 26(57), pages 282-319, December.
    3. Claus Brand & Nuno Cassola, 2004. "A money demand system for euro area M3," Applied Economics, Taylor & Francis Journals, vol. 36(8), pages 817-838.
    4. Juan José Echavarría Soto & Enrique López Enciso & Martha Misas Arango, 2008. "El tipo de cambio real de equilibrio en Colombia y su desalineamiento: estimación a través de un modelo SVEC," Investigación Conjunta-Joint Research, in: Centro de Estudios Monetarios Latinoamericanos (CEMLA) (ed.), Estimación y Uso de Variables no Observables en la Región, edition 1, volume 1, chapter 12, pages 365-395, Centro de Estudios Monetarios Latinoamericanos, CEMLA.
    5. Anna Piretti & Charles St-Arnaud, 2006. "Launching the NEUQ: The New European Union Quarterly Model, A Small Model of the Euro Area and U.K. Economies," Staff Working Papers 06-22, Bank of Canada.
    6. Nikolaus A. Siegfried, 2002. "An information-theoretic extension to structural VAR modelling," Quantitative Macroeconomics Working Papers 20203, Hamburg University, Department of Economics.

  3. Peter Vlaar, 2000. "Capital requirements and competition in banking industry," Working Paper Series WP-00-18, Federal Reserve Bank of Chicago.

    Cited by:

    1. Leonardo Gambacorta & Paolo Emilio Mistrulli, 2003. "Bank Capital and Lending Behaviour: Empirical Evidence for Italy," Temi di discussione (Economic working papers) 486, Bank of Italy, Economic Research and International Relations Area.
    2. Donsyah Yudistira, 2002. "The Impact of Bank Capital Requirements in Indonesia," Finance 0212002, University Library of Munich, Germany, revised 18 May 2003.
    3. Samy Ben Naceur & Magda Kandil, 2008. "Basel Accord and Lending Behavior: Evidence from MENA Region," Working Papers 385, Economic Research Forum, revised 01 Jan 2008.
    4. Sami Ben Naceur & Magda Kandil, 2013. "Has the Basel Capital Requirement Caused Credit Crunch in the Mena Region?," Middle East Development Journal, Taylor & Francis Journals, vol. 5(2), pages 1350014-131, January.
    5. M. Kabir Hassan & M. Ershad Hussain, 2006. "Basel II and Bank Credit Risk: Evidence from the Emerging Markets," NFI Working Papers 2006-WP-10, Indiana State University, Scott College of Business, Networks Financial Institute.
    6. James Obilikwu, 2018. "The Imact of Capital, Concentration, Size and Liquidity on Banking Industry Performance in Nigeria," International Journal of Economics and Financial Issues, Econjournals, vol. 8(4), pages 54-60.
    7. Eman Hossain & Jannatul Ferdous & Nahid Farzana, 2012. "Some Imperative Issues and Challenges in Implementing Basel II for Developing Economies with Special Reference to Bangladesh," International Journal of Finance, Insurance and Risk Management, International Journal of Finance, Insurance and Risk Management, vol. 2(4), pages 298-298.
    8. Sami Ben Naceur & Ms. Magda E. Kandil, 2013. "Basel Capital Requirements and Credit Crunch in the MENA Region," IMF Working Papers 2013/160, International Monetary Fund.

  4. Peter J G Vlaar & Franz C Palm, 1993. "Inflation Differentials and Excess Returns in the European Monetary System," CEPR Financial Markets Paper 0038, European Science Foundation Network in Financial Markets, c/o C.E.P.R, 33 Great Sutton Street, London EC1V 0DX..

    Cited by:

    1. Young Wook Han, 2010. "The Effects of US Macroeconomic Surprises on the Intraday Movements of Foreign Exchange Rates: Cases of USD-EUR and USD-JPY Exchange Rates," International Economic Journal, Taylor & Francis Journals, vol. 24(3), pages 375-396.
    2. Benoît Cœuré & Antoine Magnier, 1996. "Crédibilité et fondamentaux macro-économiques au sein du SME : un examen empirique," Économie et Prévision, Programme National Persée, vol. 123(2), pages 113-146.

Articles

  1. Peter Spreij & Enno Veerman & Peter Vlaar, 2011. "An Affine Two-Factor Heteroskedastic Macro-Finance Term Structure Model," Applied Mathematical Finance, Taylor & Francis Journals, vol. 18(4), pages 331-352.

    Cited by:

    1. Shang, Yuhuang & Zheng, Tingguo, 2018. "Fitting and forecasting yield curves with a mixed-frequency affine model: Evidence from China," Economic Modelling, Elsevier, vol. 68(C), pages 145-154.
    2. Cox, Sonja & Karbach, Sven & Khedher, Asma, 2022. "Affine pure-jump processes on positive Hilbert–Schmidt operators," Stochastic Processes and their Applications, Elsevier, vol. 151(C), pages 191-229.

  2. Maarten Rooij & Arjen Siegmann & Peter Vlaar, 2008. "Market Valuation, Pension Fund Policy and Contribution Volatility," De Economist, Springer, vol. 156(1), pages 73-93, March.

    Cited by:

    1. Dirk Broeders & Paul Hilbers & David Rijsbergen & Ningli Shen, 2014. "What Drives Pension Indexation in Turbulent Times? An Empirical Examination of Dutch Pension Funds," De Economist, Springer, vol. 162(1), pages 41-70, March.

  3. Vlaar, Peter J.G., 2007. "GDP growth and currency valuation: The case of the dollar," Journal of International Money and Finance, Elsevier, vol. 26(8), pages 1424-1449, December.

    Cited by:

    1. Long, Shaobo & Zhang, Rui & Hao, Jing, 2022. "Asymmetric impact of Sino-US interest rate differentials and economic policy uncertainty ratio on RMB exchange rate," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 78(C).
    2. Mun, Kyung-Chun, 2012. "The joint response of stock and foreign exchange markets to macroeconomic surprises: Using US and Japanese data," Journal of Banking & Finance, Elsevier, vol. 36(2), pages 383-394.

  4. Jacob A Bikker & Peter J G Vlaar, 2007. "Conditional Indexation in Defined Benefit Pension Plans in the Netherlands*," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 32(4), pages 494-515, October.

    Cited by:

    1. Nick Draper & Casper Ewijk & Marcel Lever & Roel Mehlkopf, 2014. "Stochastic Generational Accounting Applied to Reforms of Dutch Occupational Pensions," De Economist, Springer, vol. 162(3), pages 287-307, September.
    2. Broeders, Dirk & Chen, An, 2010. "Pension regulation and the market value of pension liabilities: A contingent claims analysis using Parisian options," Journal of Banking & Finance, Elsevier, vol. 34(6), pages 1201-1214, June.
    3. Broeders, Dirk & Chen, An & Koos, Birgit, 2011. "A utility-based comparison of pension funds and life insurance companies under regulatory constraints," Insurance: Mathematics and Economics, Elsevier, vol. 49(1), pages 1-10, July.
    4. Janko Gorter & Jacob A. Bikker, 2013. "Investment risk taking by institutional investors," Applied Economics, Taylor & Francis Journals, vol. 45(33), pages 4629-4640, November.

  5. Ard Reijer & Peter Vlaar, 2006. "Forecasting Inflation: An Art as Well as a Science!," De Economist, Springer, vol. 154(1), pages 19-40, March.
    See citations under working paper version above.
  6. Vlaar, Peter J. G., 2004. "Shocking the eurozone," European Economic Review, Elsevier, vol. 48(1), pages 109-131, February.

    Cited by:

    1. Paul Gaggl & Serguei Kaniovski & Klaus Prettner & Thomas Url, 2009. "The short and long-run interdependencies between the Eurozone and the USA," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 36(2), pages 209-227, May.
    2. Martha Misas A>rango & Enrique López Enciso & Juana Téllez Corredor & José Fernando Escobar Restrepo, 2005. "La Inflación Subyacente En Colombia: Un Enfoque De Tendencias Estocásticas Comunes Asociadas A Un Vec Estructural," Borradores de Economia 3026, Banco de la Republica.
    3. Fève, Patrick & Matheron, Julien & Sahuc, Jean-Guillaume, 2009. "Désinflation et chômage dans la zone euro: une analyse à l'aide d'un modèle VAR structurel," TSE Working Papers 09-014, Toulouse School of Economics (TSE).
    4. Claeys Peter, 2008. "Estimating the effects of fiscal policy under the budget constraint," wp.comunite 0038, Department of Communication, University of Teramo.
    5. Firew B Woldeyes, 2013. "Long-Run Effects of Resource Rents in Developing Countries: The role of public investment management," OxCarre Working Papers 105, Oxford Centre for the Analysis of Resource Rich Economies, University of Oxford.
    6. Francesco Giuli & Massimiliano Tancioni, 2010. "Contractionary Effects of Supply Shocks: Evidence and Theoretical Interpretation," Working Papers in Public Economics 131, Department of Economics and Law, Sapienza University of Roma.
    7. Fève, Patrick & Matheron, Julien & Sahuc, Jean-Guillaume, 2007. "Disinflation Shocks in the Eurozone: a DSGE Perspective," IDEI Working Papers 483, Institut d'Économie Industrielle (IDEI), Toulouse.
    8. Katrin Assenmacher-Wesche, 2008. "Modeling Monetary Transmission in Switzerland with a Structural Cointegrated VAR Model," Swiss Journal of Economics and Statistics (SJES), Swiss Society of Economics and Statistics (SSES), vol. 144(II), pages 197-246, June.
    9. Brüggemann, Ralf, 2006. "Finite sample properties of impulse response intervals in SVECMs with long-run identifying restrictions," SFB 649 Discussion Papers 2006-021, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
    10. Matteo Barigozzi & Antonio Conti, 2013. "On the Stability of Euro Area Money Demand and its Implications for Monetary Policy," LEM Papers Series 2013/11, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    11. Krusec, Dejan, 2010. "The "price puzzle" in the monetary transmission VARs with long-run restrictions," Economics Letters, Elsevier, vol. 106(3), pages 147-150, March.
    12. Francesco Giuli & Massimiliano Tancioni, 2012. "Prince-setting, monetary policy and the contractionary effects of productivity improvements," Departmental Working Papers of Economics - University 'Roma Tre' 0161, Department of Economics - University Roma Tre.
    13. Bosker, E.M., 2006. "On the aggregation of eurozone data," Economics Letters, Elsevier, vol. 90(2), pages 260-265, February.
    14. Dejan Krusec, 2009. "The monetary transmission in the euro area: post-1999 data assessment," Applied Economics Letters, Taylor & Francis Journals, vol. 16(10), pages 983-988.
    15. Barhoumi Karim, 2009. "How Structural Macroeconomic Shocks Can Explain Exchange Rate Pass-Through in Developing Countries: A Common Trend Approach," Global Economy Journal, De Gruyter, vol. 9(2), pages 1-37, June.

  7. Kirstin Hubrich & Peter Vlaar, 2004. "Monetary transmission in Germany: Lessons for the Euro area," Empirical Economics, Springer, vol. 29(2), pages 383-414, May.

    Cited by:

    1. Katrin Assenmacher-Wesche, 2008. "Modeling Monetary Transmission in Switzerland with a Structural Cointegrated VAR Model," Swiss Journal of Economics and Statistics (SJES), Swiss Society of Economics and Statistics (SSES), vol. 144(II), pages 197-246, June.
    2. Bruggeman, Annick & Donnay, Marie, 2003. "A monthly monetary model with banking intermediation for the euro area," Working Paper Series 264, European Central Bank.
    3. Eleftheriou, Maria, 2009. "Monetary policy in Germany: A cointegration analysis on the relevance of interest rate rules," Economic Modelling, Elsevier, vol. 26(5), pages 946-960, September.
    4. Gunasinghe, Chandika & Selvanathan, E.A. & Naranpanawa, Athula & Forster, John, 2020. "The impact of fiscal shocks on real GDP and income inequality: What do Australian data say?," Journal of Policy Modeling, Elsevier, vol. 42(2), pages 250-270.

  8. Vlaar, Peter J.G., 2004. "On The Asymptotic Distribution Of Impulse Response Functions With Long-Run Restrictions," Econometric Theory, Cambridge University Press, vol. 20(5), pages 891-903, October.

    Cited by:

    1. Emanuele BACCHIOCCHI & Luca FANELLI, 2012. "Identification in structural vector autoregressive models with structural changes," Departmental Working Papers 2012-16, Department of Economics, Management and Quantitative Methods at Università degli Studi di Milano.
    2. Juan José Echavarría Soto & Enrique López Enciso & Martha Misas Arango, 2008. "La tasa de cambio real de equilibrio en Colombia y su desalineamiento: estimación a través de un modelo SVEC," Revista ESPE - Ensayos Sobre Política Económica, Banco de la República, vol. 26(57), pages 282-319, December.
    3. Helmut Lütkepohl, 2005. "Vector Error Correction Models," Springer Books, in: New Introduction to Multiple Time Series Analysis, chapter 6, pages 237-267, Springer.
    4. Emanuele Bacchiocchi & Efrem Castelnuovo & Luca Fanelli, 2014. "Gimme a break! Identification and estimation of the macroeconomic effects of monetary policy shocks in the U.S," "Marco Fanno" Working Papers 0181, Dipartimento di Scienze Economiche "Marco Fanno".
    5. Brüggemann, Ralf, 2006. "Finite sample properties of impulse response intervals in SVECMs with long-run identifying restrictions," SFB 649 Discussion Papers 2006-021, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
    6. Laura Bisio & Andrea Faccini, 2010. "Does Cointegration Matter? An Analysis in a RBC Perspective," Working Papers in Public Economics 133, Department of Economics and Law, Sapienza University of Roma.
    7. Velinov, Anton, 2016. "On the importance of testing structural identification schemes and the potential consequences of incorrectly identified models," VfS Annual Conference 2016 (Augsburg): Demographic Change 145581, Verein für Socialpolitik / German Economic Association.
    8. Skrobotov, Anton (Скроботов, Антон) & Turuntseva, Marina (Турунцева, Марина), 2015. "Theoretical Aspects of Modeling of the SVAR [Теоретические Аспекты Моделирования Svar]," Published Papers mak8, Russian Presidential Academy of National Economy and Public Administration.
    9. Kyungho Jang, 2008. "A Structural Vector Error Correction Model with Short-run and Long-run Restrictions," Korean Economic Review, Korean Economic Association, vol. 24, pages 199-232.
    10. Matteo Barigozzi & Marco Lippi & Matteo Luciani, 2016. "Dynamic Factor Models, Cointegration, and Error Correction Mechanisms," Finance and Economics Discussion Series 2016-018, Board of Governors of the Federal Reserve System (U.S.).
    11. Klemens Hauzenberger & Robert Stehrer, 2010. "An Empirical Characterization of Redistribution Shocks and Output Dynamics," wiiw Working Papers 68, The Vienna Institute for International Economic Studies, wiiw.

  9. Vlaar, Peter J. G., 2000. "Value at risk models for Dutch bond portfolios," Journal of Banking & Finance, Elsevier, vol. 24(7), pages 1131-1154, July.

    Cited by:

    1. Montagut, Esperanza H., 2004. "Hedging bond portfolios versus infinitely many ranked factors of risk," DEE - Working Papers. Business Economics. WB wb043312, Universidad Carlos III de Madrid. Departamento de Economía de la Empresa.
    2. Angelidis, Timotheos & Benos, Alexandros & Degiannakis, Stavros, 2004. "The Use of GARCH Models in VaR Estimation," MPRA Paper 96332, University Library of Munich, Germany.
    3. Andreas Thomann, 2021. "Multi-asset scenario building for trend-following trading strategies," Annals of Operations Research, Springer, vol. 299(1), pages 293-315, April.
    4. DAVID G. McMILLAN & ALAN E. H. SPEIGHT, 2007. "Value‐at‐Risk in Emerging Equity Markets: Comparative Evidence for Symmetric, Asymmetric, and Long‐Memory GARCH Models," International Review of Finance, International Review of Finance Ltd., vol. 7(1‐2), pages 1-19, March.
    5. Timotheos Angelidis & Alexandros Benos, 2008. "Value-at-Risk for Greek Stocks," Multinational Finance Journal, Multinational Finance Journal, vol. 12(1-2), pages 67-104, March-Jun.
    6. Shah Hussain, 2009. "Misalignment of Real Exchange Rate with its Equilibrium Path: Case of Pakistan," SBP Research Bulletin, State Bank of Pakistan, Research Department, vol. 5, pages 1-14.
    7. Halkos, George & Tsirivis, Apostolos, 2019. "Using Value-at-Risk for effective energy portfolio risk management," MPRA Paper 91674, University Library of Munich, Germany.
    8. Katherine Uylangco & Siqiwen Li, 2016. "An evaluation of the effectiveness of Value-at-Risk (VaR) models for Australian banks under Basel III," Australian Journal of Management, Australian School of Business, vol. 41(4), pages 699-718, November.
    9. Lu, Chiuling & Wu, Sheng-Ching & Ho, Lan-Chih, 2009. "Applying VaR to REITs: A comparison of alternative methods," Review of Financial Economics, Elsevier, vol. 18(2), pages 97-102, April.
    10. Roberta Fiori & Simonetta Iannotti, 2006. "Scenario Based Principal Component Value-at-Risk: an Application to Italian Banks' Interest Rate Risk Exposure," Temi di discussione (Economic working papers) 602, Bank of Italy, Economic Research and International Relations Area.
    11. Mustafa Demirel & Gazanfer Unal, 2020. "Applying multivariate-fractionally integrated volatility analysis on emerging market bond portfolios," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 6(1), pages 1-29, December.
    12. Fries, Christian P. & Nigbur, Tobias & Seeger, Norman, 2017. "Displaced relative changes in historical simulation: Application to risk measures of interest rates with phases of negative rates," Journal of Empirical Finance, Elsevier, vol. 42(C), pages 175-198.
    13. Makushkin, Mikhail & Lapshin, Victor, 2023. "Dynamic Nelson–Siegel model for market risk estimation of bonds: Practical implementation," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 69, pages 5-27.
    14. Timotheos Angelidis & Alexandros Benos & Stavros Degiannakis, 2007. "A robust VaR model under different time periods and weighting schemes," Review of Quantitative Finance and Accounting, Springer, vol. 28(2), pages 187-201, February.
    15. de Araújo, André da Silva & Garcia, Maria Teresa Medeiros, 2013. "Risk contagion in the north-western and southern European stock markets," Journal of Economics and Business, Elsevier, vol. 69(C), pages 1-34.
    16. Wiener, Zvi, 2012. "The value of Value-at-Risk: A theoretical approach to the pricing and performance of risk measurement systems," Journal of Economics and Business, Elsevier, vol. 64(3), pages 199-213.
    17. Nieto, María Rosa, 2008. "Measuring financial risk : comparison of alternative procedures to estimate VaR and ES," DES - Working Papers. Statistics and Econometrics. WS ws087326, Universidad Carlos III de Madrid. Departamento de Estadística.
    18. João Caldeira & Guilherme Moura & André Santos, 2015. "Measuring Risk in Fixed Income Portfolios using Yield Curve Models," Computational Economics, Springer;Society for Computational Economics, vol. 46(1), pages 65-82, June.
    19. Timotheos Angelidis & Alexandros Benos, 2006. "Liquidity adjusted value-at-risk based on the components of the bid-ask spread," Applied Financial Economics, Taylor & Francis Journals, vol. 16(11), pages 835-851.
    20. Chiuling Lu & Sheng‐Ching Wu & Lan‐Chih Ho, 2009. "Applying VaR to REITs: A comparison of alternative methods," Review of Financial Economics, John Wiley & Sons, vol. 18(2), pages 97-102, April.
    21. Jung-Bin Su, 2014. "How to mitigate the impact of inappropriate distributional settings when the parametric value-at-risk approach is used," Quantitative Finance, Taylor & Francis Journals, vol. 14(2), pages 305-325, February.
    22. GIOT, Pierre & LAURENT, Sébastien, 2003. "Market risk in commodity markets: a VaR approach," LIDAM Discussion Papers CORE 2003028, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    23. Su, Ender & Wong, Kai Wen, 2018. "Measuring bank downside systemic risk in Taiwan," The Quarterly Review of Economics and Finance, Elsevier, vol. 70(C), pages 172-193.
    24. Kostas Andriosopoulos & Nikos Nomikos, 2012. "Risk management in the energy markets and Value-at-Risk modelling: a Hybrid approach," RSCAS Working Papers 2012/47, European University Institute.
    25. Lehar, Alfred & Scheicher, Martin & Schittenkopf, Christian, 2002. "GARCH vs. stochastic volatility: Option pricing and risk management," Journal of Banking & Finance, Elsevier, vol. 26(2-3), pages 323-345, March.
    26. Coe, P. & Vahey S.P. & Wakerly, E.C., 2000. "The Transparency and Accountability of UK Debt Management: A Proposal," Cambridge Working Papers in Economics 0028, Faculty of Economics, University of Cambridge.
    27. Ra l de Jes s-Guti rrez & Roberto J. Santill n-Salgado, 2019. "Conditional Extreme Values Theory and Tail-related Risk Measures: Evidence from Latin American Stock Markets," International Journal of Economics and Financial Issues, Econjournals, vol. 9(3), pages 127-141.
    28. Abdul-Aziz Ibn Musah & Jianguo Du & Hira Salah Ud din Khan & Alhassan Alolo Abdul-Rasheed Akeji, 2018. "The Asymptotic Decision Scenarios of an Emerging Stock Exchange Market: Extreme Value Theory and Artificial Neural Network," Risks, MDPI, vol. 6(4), pages 1-24, November.

  10. Vlaar, P. J. G. & Palm, F. C., 1997. "Inflation differentials and excess returns in the European Monetary System," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 7(1), pages 1-20, April.
    See citations under working paper version above.
  11. Stefano Cavaglia & Kees Koedijk & Peter Vlaar, 1994. "Exchange rate expectations and risk premia in the European Monetary System: 1985–1991," Open Economies Review, Springer, vol. 5(4), pages 347-360, October.

    Cited by:

    1. Vlaar, P. J. G. & Palm, F. C., 1997. "Inflation differentials and excess returns in the European Monetary System," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 7(1), pages 1-20, April.
    2. Annamaria Simonazzi & Fernando Vianello, 1996. "Credibility or exit speed? Reflections prompted by the 1992 EMS crisis," Working Papers in Public Economics 11, Department of Economics and Law, Sapienza University of Roma.

  12. Vlaar, Peter J G & Palm, Franz C, 1993. "The Message in Weekly Exchange Rates in the European Monetary System: Mean Reversion, Conditional Heteroscedasticity, and Jumps," Journal of Business & Economic Statistics, American Statistical Association, vol. 11(3), pages 351-360, July.

    Cited by:

    1. Leopoldo Catania & Nima Nonejad, 2016. "Density Forecasts and the Leverage Effect: Some Evidence from Observation and Parameter-Driven Volatility Models," Papers 1605.00230, arXiv.org, revised Nov 2016.
    2. Haas Markus, 2010. "Skew-Normal Mixture and Markov-Switching GARCH Processes," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 14(4), pages 1-56, September.
    3. Haas, Markus & Mittnik, Stefan & Paolella, Marc S., 2008. "Asymmetric multivariate normal mixture GARCH," CFS Working Paper Series 2008/07, Center for Financial Studies (CFS).
    4. Asai Manabu & So Mike K.P., 2015. "Long Memory and Asymmetry for Matrix-Exponential Dynamic Correlation Processes," Journal of Time Series Econometrics, De Gruyter, vol. 7(1), pages 69-94, January.
    5. Michael J. Dueker & Andreas M. Fischer, 1995. "Identifying Austria's implicit monetary target: an alternative test of the \"hard currency\" policy," Working Papers 1995-005, Federal Reserve Bank of St. Louis.
    6. Necula Ciprian & Radu Alina-Nicoleta, 2009. "Detecting Regime Switches In The Eur/Ron Exchange Rate Volatility," Annals of Faculty of Economics, University of Oradea, Faculty of Economics, vol. 3(1), pages 610-615, May.
    7. Peter P. Carr & Zura Kakushadze, 2017. "FX options in target zones," Quantitative Finance, Taylor & Francis Journals, vol. 17(10), pages 1477-1486, October.
    8. Simon A. BRODA & Markus HAAS & Jochen KRAUSE & Marc S. PAOLELLA & Sven C. STEUDE, 2011. "Stable Mixture GARCH Models," Swiss Finance Institute Research Paper Series 11-39, Swiss Finance Institute.
    9. Beine, Michel & Laurent, Sébastien & Palm, Franz C., 2009. "Central bank FOREX interventions assessed using realized moments," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 19(1), pages 112-127, February.
    10. Andreas Thomann, 2021. "Multi-asset scenario building for trend-following trading strategies," Annals of Operations Research, Springer, vol. 299(1), pages 293-315, April.
    11. Xiafei Li & Dongxin Li & Xuhui Zhang & Guiwu Wei & Lan Bai & Yu Wei, 2021. "Forecasting regular and extreme gold price volatility: The roles of asymmetry, extreme event, and jump," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 40(8), pages 1501-1523, December.
    12. Haarstad, Aleksander H. & Lavrutich, Maria & Strypet, Kristian & Strøm, Eivind, 2022. "Multi-commodity price risk hedging in the Atlantic salmon farming industry," Journal of Commodity Markets, Elsevier, vol. 25(C).
    13. Zhang, Lei & Chen, Yan & Bouri, Elie, 2024. "Time-varying jump intensity and volatility forecasting of crude oil returns," Energy Economics, Elsevier, vol. 129(C).
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